Nothing Special   »   [go: up one dir, main page]

You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (113)

Search Parameters:
Keywords = maximal subgroup

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
17 pages, 5377 KiB  
Systematic Review
Effects of Inspiratory Muscle Training in People with Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis
by Bing Han, Zhuying Chen, Bing Ruan, Yongjie Chen, Yuanyuan Lv, Cui Li and Laikang Yu
Life 2024, 14(11), 1470; https://doi.org/10.3390/life14111470 - 12 Nov 2024
Viewed by 1019
Abstract
This study aimed to investigate the effects of inspiratory muscle training (IMT) on inspiratory muscle strength, dyspnea, and quality of life (QOL) in COPD patients. A comprehensive search was undertaken on the Web of Science, Scopus, Embase, Cochrane, and PubMed databases, encompassing data [...] Read more.
This study aimed to investigate the effects of inspiratory muscle training (IMT) on inspiratory muscle strength, dyspnea, and quality of life (QOL) in COPD patients. A comprehensive search was undertaken on the Web of Science, Scopus, Embase, Cochrane, and PubMed databases, encompassing data published up to 31 March 2024. A meta-analysis was subsequently conducted to quantify the standardized mean difference (SMD) and 95% confidence interval (CI) for the effects of IMT in COPD patients. Sixteen studies met the inclusion criteria. IMT significantly improved inspiratory muscle strength (SMD, 0.86, p < 0.00001), dyspnea (SMD = −0.50, p < 0.00001), and QOL (SMD = 0.48, p = 0.0006). Subgroup analysis showed that <60% maximal inspiratory muscle pressure (PImax) IMT (inspiratory muscle strength, SMD = 1.22, p = 0.005; dyspnea, SMD = −0.92, p < 0.0001), IMT conducted for ≤20 min (inspiratory muscle strength, SMD = 0.97, p = 0.008; dyspnea, SMD = −0.63, p = 0.007; QOL, SMD = 1.66, p = 0.007), and IMT conducted >3 times per week (inspiratory muscle strength, SMD = 1.06, p < 0.00001; dyspnea, SMD = −0.54, p < 0.00001; QOL, SMD = 0.48, p = 0.0009) had greater effects. This meta-analysis provides clinicians with evidence supporting the recommendation that COPD patients engage in IMT at <60% PImax for more than 3 times per week, with each session lasting no more than 20 min, to improve inspiratory muscle strength, dyspnea, and QOL. Full article
(This article belongs to the Special Issue Focus on Exercise Physiology and Sports Performance)
Show Figures

Figure 1

Figure 1
<p>PRISMA flowchart of study selection.</p>
Full article ">Figure 2
<p>Meta-analysis results on the effects of IMT on inspiratory muscle strength in COPD patients [<a href="#B23-life-14-01470" class="html-bibr">23</a>,<a href="#B24-life-14-01470" class="html-bibr">24</a>,<a href="#B25-life-14-01470" class="html-bibr">25</a>,<a href="#B26-life-14-01470" class="html-bibr">26</a>,<a href="#B28-life-14-01470" class="html-bibr">28</a>,<a href="#B29-life-14-01470" class="html-bibr">29</a>,<a href="#B32-life-14-01470" class="html-bibr">32</a>,<a href="#B36-life-14-01470" class="html-bibr">36</a>,<a href="#B37-life-14-01470" class="html-bibr">37</a>,<a href="#B38-life-14-01470" class="html-bibr">38</a>].</p>
Full article ">Figure 3
<p>Meta-analysis results on the effects of session duration on inspiratory muscle strength in COPD patients [<a href="#B23-life-14-01470" class="html-bibr">23</a>,<a href="#B24-life-14-01470" class="html-bibr">24</a>,<a href="#B25-life-14-01470" class="html-bibr">25</a>,<a href="#B26-life-14-01470" class="html-bibr">26</a>,<a href="#B28-life-14-01470" class="html-bibr">28</a>,<a href="#B29-life-14-01470" class="html-bibr">29</a>,<a href="#B32-life-14-01470" class="html-bibr">32</a>,<a href="#B36-life-14-01470" class="html-bibr">36</a>,<a href="#B37-life-14-01470" class="html-bibr">37</a>,<a href="#B38-life-14-01470" class="html-bibr">38</a>].</p>
Full article ">Figure 4
<p>Meta-analysis results on the effects of frequency of intervention on inspiratory muscle strength in COPD patients [<a href="#B23-life-14-01470" class="html-bibr">23</a>,<a href="#B24-life-14-01470" class="html-bibr">24</a>,<a href="#B25-life-14-01470" class="html-bibr">25</a>,<a href="#B26-life-14-01470" class="html-bibr">26</a>,<a href="#B28-life-14-01470" class="html-bibr">28</a>,<a href="#B29-life-14-01470" class="html-bibr">29</a>,<a href="#B32-life-14-01470" class="html-bibr">32</a>,<a href="#B36-life-14-01470" class="html-bibr">36</a>,<a href="#B37-life-14-01470" class="html-bibr">37</a>,<a href="#B38-life-14-01470" class="html-bibr">38</a>].</p>
Full article ">Figure 5
<p>Meta-analysis results on the effects of intensity of intervention on inspiratory muscle strength in COPD patients [<a href="#B23-life-14-01470" class="html-bibr">23</a>,<a href="#B24-life-14-01470" class="html-bibr">24</a>,<a href="#B25-life-14-01470" class="html-bibr">25</a>,<a href="#B26-life-14-01470" class="html-bibr">26</a>,<a href="#B28-life-14-01470" class="html-bibr">28</a>,<a href="#B32-life-14-01470" class="html-bibr">32</a>,<a href="#B36-life-14-01470" class="html-bibr">36</a>,<a href="#B37-life-14-01470" class="html-bibr">37</a>,<a href="#B38-life-14-01470" class="html-bibr">38</a>].</p>
Full article ">Figure 6
<p>Meta-analysis results on the effects of IMT on dyspnea in COPD patients [<a href="#B24-life-14-01470" class="html-bibr">24</a>,<a href="#B25-life-14-01470" class="html-bibr">25</a>,<a href="#B27-life-14-01470" class="html-bibr">27</a>,<a href="#B28-life-14-01470" class="html-bibr">28</a>,<a href="#B30-life-14-01470" class="html-bibr">30</a>,<a href="#B31-life-14-01470" class="html-bibr">31</a>,<a href="#B32-life-14-01470" class="html-bibr">32</a>,<a href="#B33-life-14-01470" class="html-bibr">33</a>,<a href="#B35-life-14-01470" class="html-bibr">35</a>,<a href="#B36-life-14-01470" class="html-bibr">36</a>,<a href="#B38-life-14-01470" class="html-bibr">38</a>].</p>
Full article ">Figure 7
<p>Meta-analysis results on the effects of session duration on dyspnea in COPD patients [<a href="#B24-life-14-01470" class="html-bibr">24</a>,<a href="#B25-life-14-01470" class="html-bibr">25</a>,<a href="#B27-life-14-01470" class="html-bibr">27</a>,<a href="#B28-life-14-01470" class="html-bibr">28</a>,<a href="#B30-life-14-01470" class="html-bibr">30</a>,<a href="#B31-life-14-01470" class="html-bibr">31</a>,<a href="#B32-life-14-01470" class="html-bibr">32</a>,<a href="#B33-life-14-01470" class="html-bibr">33</a>,<a href="#B35-life-14-01470" class="html-bibr">35</a>,<a href="#B36-life-14-01470" class="html-bibr">36</a>,<a href="#B38-life-14-01470" class="html-bibr">38</a>].</p>
Full article ">Figure 8
<p>Meta-analysis results on the effects of frequency of intervention on dyspnea in COPD patients [<a href="#B24-life-14-01470" class="html-bibr">24</a>,<a href="#B25-life-14-01470" class="html-bibr">25</a>,<a href="#B27-life-14-01470" class="html-bibr">27</a>,<a href="#B28-life-14-01470" class="html-bibr">28</a>,<a href="#B30-life-14-01470" class="html-bibr">30</a>,<a href="#B31-life-14-01470" class="html-bibr">31</a>,<a href="#B32-life-14-01470" class="html-bibr">32</a>,<a href="#B33-life-14-01470" class="html-bibr">33</a>,<a href="#B35-life-14-01470" class="html-bibr">35</a>,<a href="#B36-life-14-01470" class="html-bibr">36</a>,<a href="#B38-life-14-01470" class="html-bibr">38</a>].</p>
Full article ">Figure 9
<p>Meta-analysis results on the effects of intensity of intervention on dyspnea in COPD patients [<a href="#B24-life-14-01470" class="html-bibr">24</a>,<a href="#B25-life-14-01470" class="html-bibr">25</a>,<a href="#B28-life-14-01470" class="html-bibr">28</a>,<a href="#B30-life-14-01470" class="html-bibr">30</a>,<a href="#B32-life-14-01470" class="html-bibr">32</a>,<a href="#B33-life-14-01470" class="html-bibr">33</a>,<a href="#B35-life-14-01470" class="html-bibr">35</a>,<a href="#B36-life-14-01470" class="html-bibr">36</a>,<a href="#B38-life-14-01470" class="html-bibr">38</a>].</p>
Full article ">Figure 10
<p>Meta-analysis results on the effects of IMT on QOL in COPD patients [<a href="#B26-life-14-01470" class="html-bibr">26</a>,<a href="#B27-life-14-01470" class="html-bibr">27</a>,<a href="#B31-life-14-01470" class="html-bibr">31</a>,<a href="#B32-life-14-01470" class="html-bibr">32</a>,<a href="#B33-life-14-01470" class="html-bibr">33</a>,<a href="#B34-life-14-01470" class="html-bibr">34</a>,<a href="#B38-life-14-01470" class="html-bibr">38</a>].</p>
Full article ">Figure 11
<p>Meta-analysis results on the effects of session duration on QOL in COPD patients [<a href="#B26-life-14-01470" class="html-bibr">26</a>,<a href="#B27-life-14-01470" class="html-bibr">27</a>,<a href="#B31-life-14-01470" class="html-bibr">31</a>,<a href="#B32-life-14-01470" class="html-bibr">32</a>,<a href="#B33-life-14-01470" class="html-bibr">33</a>,<a href="#B34-life-14-01470" class="html-bibr">34</a>,<a href="#B38-life-14-01470" class="html-bibr">38</a>].</p>
Full article ">Figure 12
<p>Meta-analysis results on the effects of frequency of intervention on QOL in COPD patients [<a href="#B26-life-14-01470" class="html-bibr">26</a>,<a href="#B27-life-14-01470" class="html-bibr">27</a>,<a href="#B31-life-14-01470" class="html-bibr">31</a>,<a href="#B32-life-14-01470" class="html-bibr">32</a>,<a href="#B33-life-14-01470" class="html-bibr">33</a>,<a href="#B34-life-14-01470" class="html-bibr">34</a>,<a href="#B38-life-14-01470" class="html-bibr">38</a>].</p>
Full article ">Figure 13
<p>Meta-analysis results on the effects of intensity of intervention on QOL in COPD patients [<a href="#B26-life-14-01470" class="html-bibr">26</a>,<a href="#B32-life-14-01470" class="html-bibr">32</a>,<a href="#B33-life-14-01470" class="html-bibr">33</a>,<a href="#B38-life-14-01470" class="html-bibr">38</a>].</p>
Full article ">
15 pages, 1361 KiB  
Systematic Review
Manual Therapy Techniques Versus Occlusal Splint Therapy for Temporomandibular Disorders: A Systematic Review with Meta-Analysis
by Víctor Villar-Aragón-Berzosa, Esteban Obrero-Gaitán, Miguel Ángel Lérida-Ortega, María del Carmen López-Ruiz, Daniel Rodríguez-Almagro, Alexander Achalandabaso-Ochoa, Francisco Javier Molina-Ortega and Alfonso Javier Ibáñez-Vera
Dent. J. 2024, 12(11), 355; https://doi.org/10.3390/dj12110355 - 1 Nov 2024
Viewed by 934
Abstract
Background: Manual therapy (MT) and occlusal splint therapy (OST) are the most conservative therapies applied on patients with temporomandibular disorders (TMDs). The aim was to compare the efficacy of MT vs. OST in improving pain, maximal mouth opening (MMO), disability, and health related-quality [...] Read more.
Background: Manual therapy (MT) and occlusal splint therapy (OST) are the most conservative therapies applied on patients with temporomandibular disorders (TMDs). The aim was to compare the efficacy of MT vs. OST in improving pain, maximal mouth opening (MMO), disability, and health related-quality of life (hr-QoL) in these patients. Methods: According to PRISMA guidelines, a meta-analysis (CRD42022343915) was conducted including randomized controlled trials comparing the effectiveness of MT vs. OST in TMD patients, after searching in PubMed, PEDro, SCOPUS, and WOS up to March 2024. Methodological quality and risk of bias were assessed using the PEDro Scale. Cohen’s standardized mean difference (SMD) and its 95% confidence interval (95% CI) were the pooled effect measures calculated. Results: Nine studies, providing data from 426 patients, were included. Meta-analyses revealed that MT is more effective than OST in reducing disability (SMD = −0.81; 95% CI −1.1 to −0.54) and increasing MMO (SMD = 0.52; 95% CI 0.27 to 0.76) without differences for improving pain intensity and hr-QoL. Subgroup analyses revealed the major efficacy of OST in reducing pain in myogenic patients (SMD = 0.65; 95% CI 0.02 to 1.28). Conclusions: With caution, due to the low number of studies included, MT may be more effective than OST for improving disability and MMO in patients with TMDs. Full article
(This article belongs to the Special Issue Management of Temporomandibular Disorders)
Show Figures

Figure 1

Figure 1
<p>PRISMA flow chart.</p>
Full article ">Figure 2
<p>Forest plot for pain intensity (<b>A</b>) [<a href="#B44-dentistry-12-00355" class="html-bibr">44</a>,<a href="#B47-dentistry-12-00355" class="html-bibr">47</a>,<a href="#B48-dentistry-12-00355" class="html-bibr">48</a>,<a href="#B50-dentistry-12-00355" class="html-bibr">50</a>,<a href="#B51-dentistry-12-00355" class="html-bibr">51</a>], disability (<b>B</b>) [<a href="#B44-dentistry-12-00355" class="html-bibr">44</a>,<a href="#B45-dentistry-12-00355" class="html-bibr">45</a>,<a href="#B46-dentistry-12-00355" class="html-bibr">46</a>,<a href="#B50-dentistry-12-00355" class="html-bibr">50</a>], maximal mouth opening (<b>C</b>) [<a href="#B20-dentistry-12-00355" class="html-bibr">20</a>,<a href="#B44-dentistry-12-00355" class="html-bibr">44</a>,<a href="#B45-dentistry-12-00355" class="html-bibr">45</a>,<a href="#B49-dentistry-12-00355" class="html-bibr">49</a>,<a href="#B50-dentistry-12-00355" class="html-bibr">50</a>], and health related-quality of life (<b>D</b>) [<a href="#B47-dentistry-12-00355" class="html-bibr">47</a>,<a href="#B48-dentistry-12-00355" class="html-bibr">48</a>].</p>
Full article ">
21 pages, 3873 KiB  
Systematic Review
Effects of Perceptual-Cognitive Training on Anticipation and Decision-Making Skills in Team Sports: A Systematic Review and Meta-Analysis
by Ruihan Zhu, Man Zheng, Shuang Liu, Jia Guo and Chunmei Cao
Behav. Sci. 2024, 14(10), 919; https://doi.org/10.3390/bs14100919 - 9 Oct 2024
Viewed by 1490
Abstract
Team sports require athletes’ exceptional perceptual-cognitive skills, such as anticipation and decision-making. Perceptual-cognitive training in laboratories aims to enhance these abilities. However, its effectiveness in real-game performance remains controversial, necessitating a systematic review and meta-analysis to determine optimal training methods. Following the PRISMA [...] Read more.
Team sports require athletes’ exceptional perceptual-cognitive skills, such as anticipation and decision-making. Perceptual-cognitive training in laboratories aims to enhance these abilities. However, its effectiveness in real-game performance remains controversial, necessitating a systematic review and meta-analysis to determine optimal training methods. Following the PRISMA guidelines, we searched databases (e.g., PubMed, WOS, Scopus, and EBSCO) for relevant studies published before November 2023, assessed study quality, extracted important characteristics, and conducted a meta-analysis using Stata 15.1. This study was registered in PROSPERO (CRD42023494324). A total of 22 quantitative studies involving 45 effect sizes were included. Perceptual-cognitive training positively influenced elite athletes’ anticipation and decision-making. However, its transfer effect on real-game performance improvement (ES = 0.65) was inferior to laboratory performance improvement (ES = 1.51). Sub-group analyses indicated that the effects of training interventions varied based on stimulus presentation and intervention duration. Based on our findings, we concluded that while perceptual-cognitive training improved on-court performance, its transfer effects were limited. To maximize effectiveness, future interventions should use virtual reality to present training stimuli and incorporate participants’ sport-specific responses to reflect real-game scenarios. Full article
Show Figures

Figure 1

Figure 1
<p>Cochrane Risk of Bias (RoB) graphs of the RCT studies. Notes: “+”, low risk of biase, “?”, unclear risk of bias, “-“, high risk of bias [<a href="#B7-behavsci-14-00919" class="html-bibr">7</a>,<a href="#B24-behavsci-14-00919" class="html-bibr">24</a>,<a href="#B25-behavsci-14-00919" class="html-bibr">25</a>,<a href="#B26-behavsci-14-00919" class="html-bibr">26</a>,<a href="#B27-behavsci-14-00919" class="html-bibr">27</a>,<a href="#B28-behavsci-14-00919" class="html-bibr">28</a>,<a href="#B29-behavsci-14-00919" class="html-bibr">29</a>,<a href="#B30-behavsci-14-00919" class="html-bibr">30</a>,<a href="#B31-behavsci-14-00919" class="html-bibr">31</a>,<a href="#B32-behavsci-14-00919" class="html-bibr">32</a>,<a href="#B33-behavsci-14-00919" class="html-bibr">33</a>,<a href="#B34-behavsci-14-00919" class="html-bibr">34</a>,<a href="#B35-behavsci-14-00919" class="html-bibr">35</a>,<a href="#B36-behavsci-14-00919" class="html-bibr">36</a>].</p>
Full article ">Figure 2
<p>The PRISMA flow chart. Notes: RA, response accuracy; RT, response time; M, mean; standard deviation, SD.</p>
Full article ">Figure 3
<p>Forest plots depicting the total effect size (ES) of interventions on four outcomes. Notes: RA, response accuracy; RT, response time; CI, confidence interval [<a href="#B7-behavsci-14-00919" class="html-bibr">7</a>,<a href="#B17-behavsci-14-00919" class="html-bibr">17</a>,<a href="#B24-behavsci-14-00919" class="html-bibr">24</a>,<a href="#B25-behavsci-14-00919" class="html-bibr">25</a>,<a href="#B26-behavsci-14-00919" class="html-bibr">26</a>,<a href="#B29-behavsci-14-00919" class="html-bibr">29</a>,<a href="#B30-behavsci-14-00919" class="html-bibr">30</a>,<a href="#B31-behavsci-14-00919" class="html-bibr">31</a>,<a href="#B32-behavsci-14-00919" class="html-bibr">32</a>,<a href="#B33-behavsci-14-00919" class="html-bibr">33</a>,<a href="#B34-behavsci-14-00919" class="html-bibr">34</a>,<a href="#B35-behavsci-14-00919" class="html-bibr">35</a>,<a href="#B36-behavsci-14-00919" class="html-bibr">36</a>,<a href="#B37-behavsci-14-00919" class="html-bibr">37</a>,<a href="#B38-behavsci-14-00919" class="html-bibr">38</a>,<a href="#B39-behavsci-14-00919" class="html-bibr">39</a>,<a href="#B40-behavsci-14-00919" class="html-bibr">40</a>,<a href="#B41-behavsci-14-00919" class="html-bibr">41</a>,<a href="#B42-behavsci-14-00919" class="html-bibr">42</a>,<a href="#B43-behavsci-14-00919" class="html-bibr">43</a>].</p>
Full article ">Figure 4
<p>Sub-group analyses testing the different transfer effects of intervention among different stimuli types or response types. Notes: RA, response accuracy; RT, response time; CI, confidence interval [<a href="#B7-behavsci-14-00919" class="html-bibr">7</a>,<a href="#B17-behavsci-14-00919" class="html-bibr">17</a>,<a href="#B24-behavsci-14-00919" class="html-bibr">24</a>,<a href="#B25-behavsci-14-00919" class="html-bibr">25</a>,<a href="#B26-behavsci-14-00919" class="html-bibr">26</a>,<a href="#B33-behavsci-14-00919" class="html-bibr">33</a>,<a href="#B34-behavsci-14-00919" class="html-bibr">34</a>,<a href="#B35-behavsci-14-00919" class="html-bibr">35</a>,<a href="#B36-behavsci-14-00919" class="html-bibr">36</a>,<a href="#B37-behavsci-14-00919" class="html-bibr">37</a>,<a href="#B38-behavsci-14-00919" class="html-bibr">38</a>,<a href="#B42-behavsci-14-00919" class="html-bibr">42</a>,<a href="#B43-behavsci-14-00919" class="html-bibr">43</a>].</p>
Full article ">Figure 5
<p>Sub-group analyses testing the different effects among different durations of whole training periods (<b>left side</b>), frequency of intervention (<b>middle section</b>), and each session duration (<b>right side</b>). Notes: RA, response accuracy; RT, response time; CI, confidence interval. [<a href="#B7-behavsci-14-00919" class="html-bibr">7</a>,<a href="#B17-behavsci-14-00919" class="html-bibr">17</a>,<a href="#B24-behavsci-14-00919" class="html-bibr">24</a>,<a href="#B25-behavsci-14-00919" class="html-bibr">25</a>,<a href="#B26-behavsci-14-00919" class="html-bibr">26</a>,<a href="#B33-behavsci-14-00919" class="html-bibr">33</a>,<a href="#B34-behavsci-14-00919" class="html-bibr">34</a>,<a href="#B35-behavsci-14-00919" class="html-bibr">35</a>,<a href="#B36-behavsci-14-00919" class="html-bibr">36</a>,<a href="#B37-behavsci-14-00919" class="html-bibr">37</a>,<a href="#B38-behavsci-14-00919" class="html-bibr">38</a>,<a href="#B42-behavsci-14-00919" class="html-bibr">42</a>,<a href="#B43-behavsci-14-00919" class="html-bibr">43</a>].</p>
Full article ">Figure A1
<p>The Funnel Plots for Task RA and RT as well as Transfer RA and RT.</p>
Full article ">Figure A2
<p>Sensitivity Analysis of Meta-Analysis [<a href="#B7-behavsci-14-00919" class="html-bibr">7</a>,<a href="#B17-behavsci-14-00919" class="html-bibr">17</a>,<a href="#B24-behavsci-14-00919" class="html-bibr">24</a>,<a href="#B25-behavsci-14-00919" class="html-bibr">25</a>,<a href="#B26-behavsci-14-00919" class="html-bibr">26</a>,<a href="#B27-behavsci-14-00919" class="html-bibr">27</a>,<a href="#B28-behavsci-14-00919" class="html-bibr">28</a>,<a href="#B29-behavsci-14-00919" class="html-bibr">29</a>,<a href="#B30-behavsci-14-00919" class="html-bibr">30</a>,<a href="#B31-behavsci-14-00919" class="html-bibr">31</a>,<a href="#B32-behavsci-14-00919" class="html-bibr">32</a>,<a href="#B33-behavsci-14-00919" class="html-bibr">33</a>,<a href="#B34-behavsci-14-00919" class="html-bibr">34</a>,<a href="#B35-behavsci-14-00919" class="html-bibr">35</a>,<a href="#B36-behavsci-14-00919" class="html-bibr">36</a>,<a href="#B37-behavsci-14-00919" class="html-bibr">37</a>,<a href="#B38-behavsci-14-00919" class="html-bibr">38</a>,<a href="#B39-behavsci-14-00919" class="html-bibr">39</a>,<a href="#B40-behavsci-14-00919" class="html-bibr">40</a>,<a href="#B41-behavsci-14-00919" class="html-bibr">41</a>,<a href="#B42-behavsci-14-00919" class="html-bibr">42</a>,<a href="#B43-behavsci-14-00919" class="html-bibr">43</a>].</p>
Full article ">
15 pages, 1125 KiB  
Review
Prophylactic ICD Survival Benefit Prediction: Review and Comparison between Main Scores
by Moshe Rav-Acha, Ziv Dadon, Arik Wolak, Tal Hasin, Ilan Goldenberg and Michael Glikson
J. Clin. Med. 2024, 13(17), 5307; https://doi.org/10.3390/jcm13175307 - 7 Sep 2024
Viewed by 806
Abstract
Current guidelines advocate for the use of prophylactic implantable cardioverter defibrillators (ICDs) for all patients with symptomatic heart failure (HF) with low ejection fraction (EF). As many patients will never use their device and some are prone to device-related complications, scoring systems for [...] Read more.
Current guidelines advocate for the use of prophylactic implantable cardioverter defibrillators (ICDs) for all patients with symptomatic heart failure (HF) with low ejection fraction (EF). As many patients will never use their device and some are prone to device-related complications, scoring systems for delineating subgroups with differential ICD survival benefits are crucial to maximize ICD benefit and mitigate complications. This review summarizes the main scores, including MADIT trial-based Risk Stratification Score (MRSS) and Seattle Heart Failure Model (SHFM), which are based on randomized trials with a control group (HF medication only) and validated on large cohorts of ‘real-world’ HF patients. Recent studies using cardiac MRI (CMR) to predict ventricular arrhythmia (VA) are mentioned as well. The review shows that most scores could not delineate sustained VA incidence, but rather mortality without prior appropriate ICD therapies. Multiple scores could identify high-risk subgroups with extremely high probability of early mortality after ICD implant. On the other hand, low-risk subgroups were defined, in whom a high ratio of appropriate ICD therapy versus death without prior appropriate ICD therapy was found, suggesting significant ICD survival benefit. Moreover, MRSS and SHFM proved actual ICD survival benefit in low- and medium-risk subgroups when compared with control patients, and no benefit in high-risk subgroups, consisting of 16–20% of all ICD candidates. CMR reliably identified areas of myocardial scar and ‘channels’, significantly associated with VA. We conclude that as for today, multiple scoring models could delineate patient subgroups that would benefit differently from prophylactic ICD. Due to their modest-moderate predictability, these scores are still not ready to be implemented into clinical guidelines, but could aid decision regarding prophylactic ICD in borderline cases, as elderly patients and those with multiple co-morbidities. CMR is a promising technique which might help delineate patients with a low- versus high-risk for future VA, beyond EF alone. Lastly, genetic analysis could identify specific mutations in a non-negligible percent of patients, and a few of these mutations were found to predict an increased arrhythmic risk. Full article
(This article belongs to the Section Cardiology)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>The Heart Failure Meta-score built in a user-friendly online format to estimate survival during a 10-year follow-up in 2 different scenarios or patients simultaneously. This Meta-Score table is available at <a href="http://www.hfmetascore.org/HeartScore.aspx" target="_blank">http://www.hfmetascore.org/HeartScore.aspx</a>. accessed on 24 August 2024.</p>
Full article ">Figure 2
<p>Comparison of overall mortality with optimal medical therapy (OMT) versus OMT + prophylactic ICD according to MRSS risk subgroups (A) and SHFM quartiles (B), revealing an ICD survival benefit among MRSS and SHFM intermediate-risk subgroups and absence of ICD survival benefit in high-risk subgroups (MRSS VHR subgroup and SHFM quartile #5). The figures are based on published data of MRSS [<a href="#B6-jcm-13-05307" class="html-bibr">6</a>] and SHFM [<a href="#B21-jcm-13-05307" class="html-bibr">21</a>].</p>
Full article ">
32 pages, 604 KiB  
Review
Intravenous Idursulfase for the Treatment of Mucopolysaccharidosis Type II: A Systematic Literature Review
by Walla Al-Hertani, Ravi R. Pathak, Obaro Evuarherhe, Gemma Carter, Carolyn R. Schaeffer-Koziol, David A. H. Whiteman and Ekaterina Wright
Int. J. Mol. Sci. 2024, 25(16), 8573; https://doi.org/10.3390/ijms25168573 - 6 Aug 2024
Viewed by 1180
Abstract
Mucopolysaccharidosis type II (MPS II; Hunter syndrome) is a rare, X-linked disorder caused by deficient activity of the enzyme iduronate-2-sulfatase. Signs and symptoms typically emerge at 1.5–4 years of age and may include cognitive impairment, depending on whether patients have the neuronopathic or [...] Read more.
Mucopolysaccharidosis type II (MPS II; Hunter syndrome) is a rare, X-linked disorder caused by deficient activity of the enzyme iduronate-2-sulfatase. Signs and symptoms typically emerge at 1.5–4 years of age and may include cognitive impairment, depending on whether patients have the neuronopathic or non-neuronopathic form of the disease. Treatment is available in the form of enzyme replacement therapy (ERT) with recombinant iduronate-2-sulfatase (idursulfase). A systematic literature review was conducted to assess the evidence regarding efficacy, effectiveness, and safety of ERT with intravenous idursulfase for MPS II. Electronic databases were searched in January 2023, and 33 eligible articles were found. These were analyzed to evaluate the effects of intravenous idursulfase and the overall benefits and disadvantages in patient subgroups. Studies showed that intravenous idursulfase treatment resulted in improved short- and long-term clinical and patient-centered outcomes, accompanied by a favorable safety profile. Patients with non-neuronopathic MPS II had more pronounced improvements in clinical outcomes than those with neuronopathic MPS II. In addition, the review identified that improvements in clinical outcomes are particularly apparent if intravenous idursulfase is started early in life, strengthening previous recommendations for early ERT initiation to maximally benefit patients. This review provides a comprehensive summary of our current knowledge on the efficacy of ERT in different populations of patients with MPS II and will help to inform the overall management of the disease in an evolving treatment landscape. Full article
(This article belongs to the Section Molecular Endocrinology and Metabolism)
Show Figures

Figure 1

Figure 1
<p>PRISMA diagram of studies included and excluded from the SLR analysis. PRISMA—Preferred Reporting Items for Systematic Reviews and Meta-Analyses; SLR—systematic literature review.</p>
Full article ">
20 pages, 2013 KiB  
Article
Bioenergetic and Inflammatory Alterations in Regressed and Non-Regressed Patients with Autism Spectrum Disorder
by Maria Gevezova, Zdravko Ivanov, Iliana Pacheva, Elena Timova, Maria Kazakova, Eleonora Kovacheva, Ivan Ivanov and Victoria Sarafian
Int. J. Mol. Sci. 2024, 25(15), 8211; https://doi.org/10.3390/ijms25158211 - 27 Jul 2024
Viewed by 1046
Abstract
Autism spectrum disorder (ASD) is associated with multiple physiological abnormalities. Current laboratory and clinical evidence most commonly report mitochondrial dysfunction, oxidative stress, and immunological imbalance in almost every cell type of the body. The present work aims to evaluate oxygen consumption rate (OCR), [...] Read more.
Autism spectrum disorder (ASD) is associated with multiple physiological abnormalities. Current laboratory and clinical evidence most commonly report mitochondrial dysfunction, oxidative stress, and immunological imbalance in almost every cell type of the body. The present work aims to evaluate oxygen consumption rate (OCR), extracellular acidification rate (ECAR), and inflammation-related molecules such as Cyclooxygenase-2 (COX-2), chitinase 3-like protein 1 (YKL-40), Interleukin-1 beta (IL-1β), Interleukin-9 (IL-9) in ASD children with and without regression compared to healthy controls. Children with ASD (n = 56) and typically developing children (TDC, n = 12) aged 1.11 to 11 years were studied. Mitochondrial activity was examined in peripheral blood mononuclear cells (PBMCs) isolated from children with ASD and from the control group, using a metabolic analyzer. Gene and protein levels of IL-1β, IL-9, COX-2, and YKL-40 were investigated in parallel. Our results showed that PBMCs of the ASD subgroup of regressed patients (ASD R(+), n = 21) had a specific pattern of mitochondrial activity with significantly increased maximal respiration, respiratory spare capacity, and proton leak compared to the non-regressed group (ASD R(-), n = 35) and TDC. Furthermore, we found an imbalance in the studied proinflammatory molecules and increased levels in ASD R(-) proving the involvement of inflammatory changes. The results of this study provide new evidence for specific bioenergetic profiles of immune cells and elevated inflammation-related molecules in ASD. For the first time, data on a unique metabolic profile in ASD R(+) and its comparison with a random group of children of similar age and sex are provided. Our data show that mitochondrial dysfunction is more significant in ASD R(+), while in ASD R(-) inflammation is more pronounced. Probably, in the group without regression, immune mechanisms (immune dysregulation, leading to inflammation) begin initially, and at a later stage mitochondrial activity is also affected under exogenous factors. On the other hand, in the regressed group, the initial damage is in the mitochondria, and perhaps at a later stage immune dysfunction is involved. Full article
Show Figures

Figure 1

Figure 1
<p>Respiratory metrics of PBMCs by Seahorse assay. (<b>A</b>–<b>E</b>) Bar graphs showing the differences in bioenergetics parameters between ASD R(+) and ASD R(-) patients and TDC, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01; (<b>F</b>) Effect of the used inhibitors (Oligomycin, FCCP, and Rotenone) on the oxidative function of isolated PBMCs.</p>
Full article ">Figure 1 Cont.
<p>Respiratory metrics of PBMCs by Seahorse assay. (<b>A</b>–<b>E</b>) Bar graphs showing the differences in bioenergetics parameters between ASD R(+) and ASD R(-) patients and TDC, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01; (<b>F</b>) Effect of the used inhibitors (Oligomycin, FCCP, and Rotenone) on the oxidative function of isolated PBMCs.</p>
Full article ">Figure 2
<p>Extracellular acidification rate (ECAR) measured by Seahorse assay. (<b>A</b>) Bar graphs showing differences in glycolysis between ASD R(+), ASD/R(-), and TDC, ** <span class="html-italic">p</span> &lt; 0.01; (<b>B</b>) Effect of the used inhibitors (Oligomycin, FCCP, and Rotenone) on the glycolytic activity of isolated PBMCs from the studied groups.</p>
Full article ">Figure 3
<p>Gene (<b>A</b>) and protein (<b>B</b>) expression of COX-2 in patients with ASD R(+), ASD R(-) compared to TDC, ** <span class="html-italic">p</span> &lt; 0.01.</p>
Full article ">Figure 4
<p>Gene expression of (<b>A</b>) YKL-40, (<b>B</b>) IL-9, (<b>C</b>) IL-1β, and (<b>D</b>) protein levels of IL-1β in ASD R(+), ASD R(-) and TDC * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
Full article ">
22 pages, 7585 KiB  
Review
Comparing the Effect of Isoinertial Flywheel Training and Traditional Resistance Training on Maximal Strength and Muscle Power in Healthy People: A Systematic Review and Meta-Analysis
by Zhongzhong Hu, Yuhang Liu, Keke Huang, Hao Huang, Feng Li and Xiaoyi Yuan
Life 2024, 14(7), 908; https://doi.org/10.3390/life14070908 - 21 Jul 2024
Cited by 1 | Viewed by 2197
Abstract
Background: This systematic review and meta-analysis aimed to analyze whether isoinertial flywheel training (FWT) is superior to traditional resistance training (TRT) in enhancing maximal strength and muscle power in healthy individuals. Methods: Electronic searches were conducted in the Web of Science, PubMed, Cochrane [...] Read more.
Background: This systematic review and meta-analysis aimed to analyze whether isoinertial flywheel training (FWT) is superior to traditional resistance training (TRT) in enhancing maximal strength and muscle power in healthy individuals. Methods: Electronic searches were conducted in the Web of Science, PubMed, Cochrane Library, SPORTDiscus, and Scopus databases up to 21 April 2024. Outcomes were analyzed as continuous variables using either a random or fixed effects model to calculate the standardized mean difference (SMD) and 95% confidence intervals (CI). Results: A total of sixteen articles, involving 341 subjects, met the inclusion criteria and were included in the statistical analyses. The pooled results indicate no statistically significant differences between FWT and TRT in developing maximal strength in healthy individuals (SMD = 0.24, 95% CI [−0.26, 0.74], p = 0.35). Additionally, the pooled outcomes showed a small-sized effect in muscle power with FWT (SMD = 0.47, 95% CI [0.10, 0.84]), which was significantly higher than that with TRT (p = 0.01) in healthy individuals. Subgroup analysis revealed that when the total number of FWT sessions is between 12 and 18 (1–3 times per week), it significantly improves muscle power (SMD = 0.61, 95% CI [0.12, 1.09]). Significant effects favoring FWT for muscle power were observed in both well-trained (SMD = 0.58, 95% CI [0.04, 1.13]) and untrained individuals (SMD = 1.40, 95% CI [0.23, 2.57]). In terms of exercise, performing flywheel training with squat and lunge exercises significantly enhances muscle power (SMD = 0.43; 95% CI: 0.02–0.84, and p = 0.04). Interestingly, FWT was superior to weight stack resistance training (SMD = 0.61, 95% CI [0.21, 1.00]) in enhancing muscle power, while no significant differences were found compared to barbell free weights training (SMD = 0.36, 95% CI [−0.22, 0.94]). Conclusions: This meta-analysis confirms the superiority of FWT compared to TRT in promoting muscle power in both healthy untrained and well-trained individuals. Squats and lunges for FWT are more suitable for improving lower limb explosive power. It is recommended that coaches and trainers implement FWT for six weeks, 2–3 times per week, with at least a 48 h interval between each session. Although FWT is not superior to free weights training, it is advisable to include FWT in sport periodization to diversify the training stimuli for healthy individuals. Full article
(This article belongs to the Special Issue Focus on Exercise Physiology and Sports Performance)
Show Figures

Figure 1

Figure 1
<p>Flow chart illustrating the selection process for all included and excluded studies.</p>
Full article ">Figure 2
<p>Summary of the risk of bias of studies included in this meta-analysis [<a href="#B35-life-14-00908" class="html-bibr">35</a>,<a href="#B36-life-14-00908" class="html-bibr">36</a>,<a href="#B37-life-14-00908" class="html-bibr">37</a>,<a href="#B38-life-14-00908" class="html-bibr">38</a>,<a href="#B39-life-14-00908" class="html-bibr">39</a>,<a href="#B40-life-14-00908" class="html-bibr">40</a>,<a href="#B41-life-14-00908" class="html-bibr">41</a>,<a href="#B42-life-14-00908" class="html-bibr">42</a>,<a href="#B43-life-14-00908" class="html-bibr">43</a>,<a href="#B44-life-14-00908" class="html-bibr">44</a>,<a href="#B45-life-14-00908" class="html-bibr">45</a>,<a href="#B46-life-14-00908" class="html-bibr">46</a>,<a href="#B47-life-14-00908" class="html-bibr">47</a>,<a href="#B48-life-14-00908" class="html-bibr">48</a>,<a href="#B49-life-14-00908" class="html-bibr">49</a>,<a href="#B50-life-14-00908" class="html-bibr">50</a>]. (<b>A</b>) Summary of 16 studies in six different domains of bias. (<b>B</b>) Details of 16 studies in six different domains of bias.</p>
Full article ">Figure 3
<p>Funnel plot illustrating the symmetrical distribution of the effects across the included studies. (<b>A</b>) Funnel plot for studies about maximal muscle strength. (<b>B</b>) Funnel plot for studies about muscle power.</p>
Full article ">Figure 4
<p>Sensitivity analysis for this meta-analysis [<a href="#B35-life-14-00908" class="html-bibr">35</a>,<a href="#B36-life-14-00908" class="html-bibr">36</a>,<a href="#B37-life-14-00908" class="html-bibr">37</a>,<a href="#B38-life-14-00908" class="html-bibr">38</a>,<a href="#B39-life-14-00908" class="html-bibr">39</a>,<a href="#B40-life-14-00908" class="html-bibr">40</a>,<a href="#B41-life-14-00908" class="html-bibr">41</a>,<a href="#B42-life-14-00908" class="html-bibr">42</a>,<a href="#B43-life-14-00908" class="html-bibr">43</a>,<a href="#B44-life-14-00908" class="html-bibr">44</a>,<a href="#B45-life-14-00908" class="html-bibr">45</a>,<a href="#B46-life-14-00908" class="html-bibr">46</a>,<a href="#B47-life-14-00908" class="html-bibr">47</a>,<a href="#B48-life-14-00908" class="html-bibr">48</a>,<a href="#B49-life-14-00908" class="html-bibr">49</a>,<a href="#B50-life-14-00908" class="html-bibr">50</a>]. (<b>A</b>) Sensitivity analysis for studies about maximal muscle strength. (<b>B</b>) Sensitivity analysis for studies about muscle power.</p>
Full article ">Figure 5
<p>Forest plot with meta-analysis of standardized mean difference showing comparison of flywheel training (FWT) versus traditional resistance training (TRT) on muscle power [<a href="#B36-life-14-00908" class="html-bibr">36</a>,<a href="#B39-life-14-00908" class="html-bibr">39</a>,<a href="#B41-life-14-00908" class="html-bibr">41</a>,<a href="#B42-life-14-00908" class="html-bibr">42</a>,<a href="#B43-life-14-00908" class="html-bibr">43</a>,<a href="#B44-life-14-00908" class="html-bibr">44</a>,<a href="#B45-life-14-00908" class="html-bibr">45</a>,<a href="#B46-life-14-00908" class="html-bibr">46</a>,<a href="#B47-life-14-00908" class="html-bibr">47</a>,<a href="#B48-life-14-00908" class="html-bibr">48</a>,<a href="#B49-life-14-00908" class="html-bibr">49</a>].</p>
Full article ">Figure 6
<p>Forest plot with meta-analysis of standardized mean difference showing comparison of flywheel training (FWT) versus traditional resistance training (TRT) on maximal strength [<a href="#B35-life-14-00908" class="html-bibr">35</a>,<a href="#B36-life-14-00908" class="html-bibr">36</a>,<a href="#B37-life-14-00908" class="html-bibr">37</a>,<a href="#B38-life-14-00908" class="html-bibr">38</a>,<a href="#B39-life-14-00908" class="html-bibr">39</a>,<a href="#B40-life-14-00908" class="html-bibr">40</a>,<a href="#B41-life-14-00908" class="html-bibr">41</a>,<a href="#B42-life-14-00908" class="html-bibr">42</a>,<a href="#B44-life-14-00908" class="html-bibr">44</a>,<a href="#B50-life-14-00908" class="html-bibr">50</a>].</p>
Full article ">Figure 7
<p>Forest plot with subgroup analysis of strength training experience [<a href="#B35-life-14-00908" class="html-bibr">35</a>,<a href="#B36-life-14-00908" class="html-bibr">36</a>,<a href="#B37-life-14-00908" class="html-bibr">37</a>,<a href="#B38-life-14-00908" class="html-bibr">38</a>,<a href="#B39-life-14-00908" class="html-bibr">39</a>,<a href="#B40-life-14-00908" class="html-bibr">40</a>,<a href="#B41-life-14-00908" class="html-bibr">41</a>,<a href="#B42-life-14-00908" class="html-bibr">42</a>,<a href="#B43-life-14-00908" class="html-bibr">43</a>,<a href="#B44-life-14-00908" class="html-bibr">44</a>,<a href="#B45-life-14-00908" class="html-bibr">45</a>,<a href="#B46-life-14-00908" class="html-bibr">46</a>,<a href="#B47-life-14-00908" class="html-bibr">47</a>,<a href="#B48-life-14-00908" class="html-bibr">48</a>,<a href="#B49-life-14-00908" class="html-bibr">49</a>,<a href="#B50-life-14-00908" class="html-bibr">50</a>]. (<b>A</b>) Effect of strength training experience on muscle power. (<b>B</b>) Effect of strength training experience on maximal muscle strength. <span class="html-fig-inline" id="life-14-00908-i001"><img alt="Life 14 00908 i001" src="/life/life-14-00908/article_deploy/html/images/life-14-00908-i001.png"/></span> effect size of individual studies. <span class="html-fig-inline" id="life-14-00908-i002"><img alt="Life 14 00908 i002" src="/life/life-14-00908/article_deploy/html/images/life-14-00908-i002.png"/></span> combined effect size.</p>
Full article ">Figure 8
<p>Forest plot with subgroup analysis of total number of training sessions [<a href="#B35-life-14-00908" class="html-bibr">35</a>,<a href="#B36-life-14-00908" class="html-bibr">36</a>,<a href="#B37-life-14-00908" class="html-bibr">37</a>,<a href="#B38-life-14-00908" class="html-bibr">38</a>,<a href="#B39-life-14-00908" class="html-bibr">39</a>,<a href="#B40-life-14-00908" class="html-bibr">40</a>,<a href="#B41-life-14-00908" class="html-bibr">41</a>,<a href="#B42-life-14-00908" class="html-bibr">42</a>,<a href="#B43-life-14-00908" class="html-bibr">43</a>,<a href="#B44-life-14-00908" class="html-bibr">44</a>,<a href="#B45-life-14-00908" class="html-bibr">45</a>,<a href="#B46-life-14-00908" class="html-bibr">46</a>,<a href="#B47-life-14-00908" class="html-bibr">47</a>,<a href="#B48-life-14-00908" class="html-bibr">48</a>,<a href="#B49-life-14-00908" class="html-bibr">49</a>,<a href="#B50-life-14-00908" class="html-bibr">50</a>]. (<b>A</b>) Effect of total number of training sessions on muscle power. (<b>B</b>) Effect of total number of training sessions on maximal muscle strength. <span class="html-fig-inline" id="life-14-00908-i001"><img alt="Life 14 00908 i001" src="/life/life-14-00908/article_deploy/html/images/life-14-00908-i001.png"/></span> effect size of individual studies. <span class="html-fig-inline" id="life-14-00908-i002"><img alt="Life 14 00908 i002" src="/life/life-14-00908/article_deploy/html/images/life-14-00908-i002.png"/></span> combined effect size.</p>
Full article ">Figure 9
<p>Forest plot with subgroup analysis of control group’s intervention [<a href="#B35-life-14-00908" class="html-bibr">35</a>,<a href="#B36-life-14-00908" class="html-bibr">36</a>,<a href="#B37-life-14-00908" class="html-bibr">37</a>,<a href="#B38-life-14-00908" class="html-bibr">38</a>,<a href="#B39-life-14-00908" class="html-bibr">39</a>,<a href="#B40-life-14-00908" class="html-bibr">40</a>,<a href="#B41-life-14-00908" class="html-bibr">41</a>,<a href="#B42-life-14-00908" class="html-bibr">42</a>,<a href="#B43-life-14-00908" class="html-bibr">43</a>,<a href="#B44-life-14-00908" class="html-bibr">44</a>,<a href="#B45-life-14-00908" class="html-bibr">45</a>,<a href="#B46-life-14-00908" class="html-bibr">46</a>,<a href="#B47-life-14-00908" class="html-bibr">47</a>,<a href="#B48-life-14-00908" class="html-bibr">48</a>,<a href="#B49-life-14-00908" class="html-bibr">49</a>,<a href="#B50-life-14-00908" class="html-bibr">50</a>]. (<b>A</b>) Effect of control group’s intervention on muscle power. (<b>B</b>) Effect of control group’s intervention on maximal muscle strength. <span class="html-fig-inline" id="life-14-00908-i001"><img alt="Life 14 00908 i001" src="/life/life-14-00908/article_deploy/html/images/life-14-00908-i001.png"/></span> effect size of individual studies. <span class="html-fig-inline" id="life-14-00908-i002"><img alt="Life 14 00908 i002" src="/life/life-14-00908/article_deploy/html/images/life-14-00908-i002.png"/></span> combined effect size.</p>
Full article ">Figure 10
<p>Forest plot with subgroup analysis of selected exercise [<a href="#B35-life-14-00908" class="html-bibr">35</a>,<a href="#B36-life-14-00908" class="html-bibr">36</a>,<a href="#B37-life-14-00908" class="html-bibr">37</a>,<a href="#B38-life-14-00908" class="html-bibr">38</a>,<a href="#B39-life-14-00908" class="html-bibr">39</a>,<a href="#B40-life-14-00908" class="html-bibr">40</a>,<a href="#B41-life-14-00908" class="html-bibr">41</a>,<a href="#B42-life-14-00908" class="html-bibr">42</a>,<a href="#B43-life-14-00908" class="html-bibr">43</a>,<a href="#B44-life-14-00908" class="html-bibr">44</a>,<a href="#B45-life-14-00908" class="html-bibr">45</a>,<a href="#B46-life-14-00908" class="html-bibr">46</a>,<a href="#B47-life-14-00908" class="html-bibr">47</a>,<a href="#B48-life-14-00908" class="html-bibr">48</a>,<a href="#B49-life-14-00908" class="html-bibr">49</a>,<a href="#B50-life-14-00908" class="html-bibr">50</a>]. (<b>A</b>) Effect of selected exercise on muscle power. (<b>B</b>) Effect of selected exercise on maximal muscle strength. <span class="html-fig-inline" id="life-14-00908-i001"><img alt="Life 14 00908 i001" src="/life/life-14-00908/article_deploy/html/images/life-14-00908-i001.png"/></span> effect size of individual studies. <span class="html-fig-inline" id="life-14-00908-i002"><img alt="Life 14 00908 i002" src="/life/life-14-00908/article_deploy/html/images/life-14-00908-i002.png"/></span> combined effect size.</p>
Full article ">
13 pages, 1480 KiB  
Article
Impacts and Correlations on Corneal Biomechanics, Corneal Optical Density and Intraocular Pressure after Cataract Surgery
by Fang-Yang Lin, Ren-Wen Ho, Hun-Ju Yu, I-Hui Yang, Po-Chiung Fang and Ming-Tse Kuo
Diagnostics 2024, 14(14), 1557; https://doi.org/10.3390/diagnostics14141557 - 18 Jul 2024
Viewed by 792
Abstract
The study aimed to investigate the extended effects and interrelations of corneal biomechanics, corneal optical density (COD), corneal thickness (CT), and intraocular pressure (IOP) following cataract surgery. Sixteen eyes were analyzed prospectively. The Corneal Visualization Scheimpflug Technology (Corvis ST) device assessed corneal biomechanics, [...] Read more.
The study aimed to investigate the extended effects and interrelations of corneal biomechanics, corneal optical density (COD), corneal thickness (CT), and intraocular pressure (IOP) following cataract surgery. Sixteen eyes were analyzed prospectively. The Corneal Visualization Scheimpflug Technology (Corvis ST) device assessed corneal biomechanics, while the Pentacam AxL® (Pentacam) measured COD and CT. Postoperative data were collected around six months after surgery, with a subgroup analysis of data at nine months. The Pearson correlation was used to examine the relationship between surgical-induced changes in corneal biomechanics and COD. At six months, significant postoperative differences were observed in various biomechanical indices, including uncorrected IOP (IOPuct) and biomechanics-corrected IOP (bIOP). However, many indices lost statistical significance by the nine-month mark, suggesting the reversibility of postoperative corneal changes. Postoperative COD increased at the anterior layer of the 2−6 mm annulus and incision site. The changes in COD correlated with certain biomechanical indices, including maximal (Max) deformative amplitude (DA) and stiffness parameter (SP). In conclusion, despite significant immediate postoperative changes, corneal biomechanics, COD, and IOP experienced a gradual recovery process following cataract surgery. Clinicians should maintain vigilance for any unusual changes during the short-term observation period to detect abnormalities early. Full article
Show Figures

Figure 1

Figure 1
<p>The deformative process of the cornea under Corvis ST examination. DA_c is the value of DA after correcting eye movement. DAR_1 mm is defined as x/y, while DAR_2 mm is x/z. Abbreviation: DA_c, deflective amplitude; DA, deformative amplitude; DAR_1 mm (DAR_2 mm), DA ratio between cornea apex and paracentral 1 mm (DAR_2 mm).</p>
Full article ">Figure 2
<p>Measurements of COD. The cornea is divided into concentric annuli of 2, 6, 10, and 12 mm in diameter (<b>Left</b>), and in three different depths (<b>Right</b>) to measure for COD in corneal densitometry.</p>
Full article ">Figure 3
<p>IOP changes in different follow-up periods. The 9-month change of both IOPuct and bIOP lost significance (<span class="html-italic">p</span> = 0.09, <span class="html-italic">p</span> = 0.12, respectively) when compared with the 6-month change (both <span class="html-italic">p</span> &lt; 0.001). Significant differences defined as p &lt; 0.05 were highlighted with **. Abbreviation: IOP, intraocular pressure; IOPuct, uncorrected IOP; bIOP, biomechanics-corrected IOP.</p>
Full article ">Figure 4
<p>Changes of COD and CT 6 months after a cataract surgery. (<b>a</b>) COD of total thickness showed a significant postoperative increase in the 2–6 mm annuli and incision site. (<b>b</b>) The anterior 120 μm depth was the only significantly increased layer of COD in 2–6 mm annuli. (<b>c</b>) The significance of CT changes remained in the peripheral cornea. Significant differences defined as <span class="html-italic">p</span> &lt; 0.05 were highlighted with **. Abbreviation: COD, corneal optical density; GSU, grayscale unit; CT, corneal thickness.</p>
Full article ">
28 pages, 1732 KiB  
Systematic Review
Unlocking Phytate with Phytase: A Meta-Analytic View of Meat-Type Chicken Muscle Growth and Bone Mineralization Potential
by Emmanuel Nuamah, Utibe Mfon Okon, Eungyeong Jeong, Yejin Mun, Inhyeok Cheon, Byungho Chae, Frederick Nii Ako Odoi, Dong-wook Kim and Nag-Jin Choi
Animals 2024, 14(14), 2090; https://doi.org/10.3390/ani14142090 - 17 Jul 2024
Viewed by 1282
Abstract
The inclusion of exogenous phytase in P- and Ca-deficient diets of broilers to address the growing concern about excessive P excretion into the environment over the years has been remarkably documented. However, responses among these studies have been inconsistent because of the several [...] Read more.
The inclusion of exogenous phytase in P- and Ca-deficient diets of broilers to address the growing concern about excessive P excretion into the environment over the years has been remarkably documented. However, responses among these studies have been inconsistent because of the several factors affecting P utilization. For this reason, a systematic review with a meta-analysis of results from forty-one studies published from 2000 to February 2024 was evaluated to achieve the following: (1) quantitatively summarize the size of phytase effect on growth performance, bone strength and mineralization in broilers fed diets deficient in P and Ca and (2) estimate and explore the heterogeneity in the effect size of outcomes using subgroup and meta-regression analyses. The quality of the included studies was assessed using the Cochrane Collaboration’s SYRCLE risk of bias checklists for animal studies. Applying the random effects models, Hedges’ g effect size of supplemented phytase was calculated using the R software (version 4.3.3, Angel Food Cake) to determine the standardized mean difference (SMD) at a 95% confidence interval. Subgroup analysis and meta-regression were used to further explore the effect size heterogeneity (PSMD ≤ 0.05, I2 > 50%, n ≥ 10). The meta-analysis showed that supplemental phytase increases ADFI and BWG and improves FCR at each time point of growth (p < 0.0001). Additionally, phytase supplementation consistently increased tibia ash, P and Ca, and bone strength (p < 0.0001) of broilers fed P- and Ca-deficient diets. The results of the subgroup and meta-regression analyses showed that the age and strain of broiler, dietary P source, and the duration of phytase exposure significantly influence the effect size of phytase on growth and bone parameters. In conclusion, phytase can attenuate the effect of reducing dietary-available phosphorus and calcium and improve ADFI, BWG, and FCR, especially when added to starter diets. It further enhances bone ash, bone mineralization, and the bone-breaking strength of broilers, even though the effects of bone ash and strength can be maximized in the starter phase of growth. However, the effect sizes of phytase were related to the age and strain of the broiler, dietary P source, and the duration of phytase exposure rather than the dosage. Full article
(This article belongs to the Special Issue Feed Ingredients and Additives for Swine and Poultry)
Show Figures

Figure 1

Figure 1
<p>The PRISMA diagram detailing the systematic literature search and paper selection process.</p>
Full article ">Figure 2
<p>A bar graph showing the risk of bias classification of eligible papers.</p>
Full article ">Figure 3
<p>A decreasing trend in tibia P’s standardized mean difference per unit increase in phytase dosage.</p>
Full article ">Figure 4
<p>Showing bubble plot of standardized mean difference in (<b>a</b>) starter FCR; (<b>b</b>) starter tibia Ca; (<b>c</b>) starter tibia P; (<b>d</b>) grower-finisher tibia Ca; (<b>e</b>) grower-finisher tibia P associated with a unit change in duration of phytase exposure.</p>
Full article ">Figure 4 Cont.
<p>Showing bubble plot of standardized mean difference in (<b>a</b>) starter FCR; (<b>b</b>) starter tibia Ca; (<b>c</b>) starter tibia P; (<b>d</b>) grower-finisher tibia Ca; (<b>e</b>) grower-finisher tibia P associated with a unit change in duration of phytase exposure.</p>
Full article ">
10 pages, 1017 KiB  
Article
Association between Transient-Continuous Hypotension during Mechanical Thrombectomy for Acute Ischemic Stroke and Final Infarct Volume in Patients with Proximal Anterior Circulation Large Vessel Occlusion
by Marcin Wiącek, Izabella Tomaszewska-Lampart, Marzena Dziedzic, Anna Kaczorowska and Halina Bartosik-Psujek
J. Clin. Med. 2024, 13(13), 3707; https://doi.org/10.3390/jcm13133707 - 25 Jun 2024
Viewed by 1211
Abstract
Background/Objectives: Periprocedural blood pressure changes in stroke patients with a large vessel occlusion are a known modifiable risk factor of unfavorable treatment outcomes. We aimed to evaluate the association between pre-revascularization hypotension and the final infarct volume. Methods: In our retrospective [...] Read more.
Background/Objectives: Periprocedural blood pressure changes in stroke patients with a large vessel occlusion are a known modifiable risk factor of unfavorable treatment outcomes. We aimed to evaluate the association between pre-revascularization hypotension and the final infarct volume. Methods: In our retrospective analysis, we included 214 consecutive stroke patients with an anterior circulation large vessel occlusion that underwent mechanical thrombectomy under general anesthesia. Noninvasively obtained blood pressure values prior to symptomatic vessel recanalization were analyzed as a predictor of post-treatment infarct size. Linear logistic regression models adjusted for predefined factors were used to investigate the association between blood pressure parameters and the final infarct volume. Results: In our cohort, higher baseline systolic blood pressure (aβ = 8.32, 95% CI 0.93–15.7, p = 0.027), its maximal absolute drop (aβ = 6.98, 95% CI 0.42–13.55, p = 0.037), and >40% mean arterial pressure decrease (aβ = 41.77, CI 95% 1.93–81.61, p = 0.040) were independently associated with higher infarct volumes. Similarly, continuous hypotension measured as intraprocedural cumulative time spent below either 100 mmHg (aβ = 3.50 per 5 min, 95% CI 1.49–5.50, p = 0.001) or 90 mmHg mean arterial pressure (aβ = 2.91 per 5 min, 95% CI 0.74–5.10, p = 0.010) was independently associated with a larger ischemia size. In the subgroup analysis of 151 patients with an M1 middle cerebral artery occlusion, two additional factors were independently associated with a larger ischemia size: systolic blood pressure maximal relative drop and >40% drop from pretreatment value (aβ = 1.36 per 1% lower than baseline, 95% CI 0.04–2.67, p = 0.043, and aβ = 43.01, 95% CI 2.89–83.1, p = 0.036, respectively). No associations between hemodynamic parameters and post-treatment infarct size were observed in the cohort of intracranial internal carotid artery occlusion. Conclusions: In patients with ischemic stroke due to a proximal middle cerebral artery occlusion, higher pre-thrombectomy treatment systolic blood pressure is associated with a larger final infarct size. In patients treated under general anesthesia, hypotension prior to the M1 portion of middle cerebral artery recanalization is independently correlated with the post-treatment infarct volume. In this group, every 5 min spent below the mean arterial pressure threshold of 100 mmHg is associated with a 4 mL increase in ischemia volume on a post-treatment NCCT. No associations between blood pressure and final infarct volume were present in the subgroup of patients with an intracranial internal carotid artery occlusion. Full article
(This article belongs to the Topic Diagnosis and Management of Acute Ischemic Stroke)
Show Figures

Figure 1

Figure 1
<p>Flow chart of the inclusion of study population. EVT, endovascular treatment; LVO, large vessel occlusion; ICA, internal carotid artery; MCA, middle cerebral artery.</p>
Full article ">Figure 2
<p>Association between hemodynamic parameters and the final infarct volume. Scatter plots based on linear regression models adjusted for predefined confounding factors. The last scatter plot shows analysis of the MCA M1 occlusion subgroup. FIV, final infarct volume; SBP, systolic arterial blood pressure; MAP, mean arterial blood pressure.</p>
Full article ">
17 pages, 320 KiB  
Review
Topical and Intralesional Immunotherapy for the Management of Basal Cell Carcinoma
by Aurora Fernández-Galván, Pedro Rodríguez-Jiménez, Beatriz González-Sixto, María Teresa Abalde-Pintos and Beatriz Butrón-Bris
Cancers 2024, 16(11), 2135; https://doi.org/10.3390/cancers16112135 - 4 Jun 2024
Cited by 2 | Viewed by 1315
Abstract
Basal Cell Carcinoma (BCC) is the most common type of cancer among the white population. Individuals with fair skin have an average lifetime risk of around 30% for developing BCC, and there is a noticeable upward trend in its incidence rate. The principal [...] Read more.
Basal Cell Carcinoma (BCC) is the most common type of cancer among the white population. Individuals with fair skin have an average lifetime risk of around 30% for developing BCC, and there is a noticeable upward trend in its incidence rate. The principal treatment objectives for BCC involve achieving the total excision of the tumor while maximizing the preservation of function and cosmesis. Surgery is considered the treatment of choice for BCC for two main reasons: it allows for the highest cure rates and facilitates histological control of resection margins. However, in the subgroup of patients with low-risk recurrence or medical contraindications for surgery, new non-surgical treatment alternatives can provide an excellent oncological and cosmetic outcome. An evident and justified instance of these local therapies occurred during the COVID-19 pandemic, a period when surgical interventions carried out in hospital settings were not a viable option. Full article
(This article belongs to the Special Issue Topical and Intralesional Immunotherapy for Skin Cancer)
Show Figures

Graphical abstract

Graphical abstract
Full article ">
12 pages, 670 KiB  
Article
The Myometric Assessment of Achilles Tendon and Soleus Muscle Stiffness before and after a Standardized Exercise Test in Elite Female Volleyball and Handball Athletes—A Quasi-Experimental Study
by Claudia Römer, Julia Czupajllo, Bernd Wolfarth, Freddy Sichting and Kirsten Legerlotz
J. Clin. Med. 2024, 13(11), 3243; https://doi.org/10.3390/jcm13113243 - 31 May 2024
Cited by 1 | Viewed by 682
Abstract
Background: The high prevalence of injuries in female athletes necessitates a course of action that not only enhances research in this field but also incorporates improved prevention programs and regular health monitoring of highly stressed structures such as tendons and muscles. Since myometry [...] Read more.
Background: The high prevalence of injuries in female athletes necessitates a course of action that not only enhances research in this field but also incorporates improved prevention programs and regular health monitoring of highly stressed structures such as tendons and muscles. Since myometry is already used by coaches and physiotherapists, it is important to investigate whether tissue stiffness varies in different types of sports, and whether such measures are affected by an acute training session. Methods: Myometric measurements of the Achilles tendon (AT) and soleus muscle (SM) were performed in the longitudinal plane and relaxed tendon position. In total, 38 healthy professional female athletes were examined, applying a quasi-experimental study design, with subgroup analysis performed for different sports. To investigate the stiffness of the AT and SM, 24 female handball and volleyball athletes performed a standardized maximal incremental performance test on a treadmill. In this subgroup, myometric measurements were taken before and after the exercise test. Results: The measurements showed no significant difference between the mean pre- (AT: 661.46 N/m; SM 441.48 N/m) and post-exercise stiffness (AT: 644.71 N/m; SM: 439.07 N/m). Subgroup analysis for different types of sports showed significantly lower AT and SM stiffness in swimming athletes compared to handball (p = 0.002), volleyball (p = 0.000) and hammer throw athletes (p = 0.008). Conclusions: Myometry can be performed on the same day as an acute training session in healthy female professional volleyball and handball athletes. Female swimmers have significantly lower AT and SM stiffness compared to female handball, volleyball and hammer throw athletes. These results show that the stiffness differences in the AT and SM can be assessed by myometry. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Boxplots of the stiffness of the left Achilles tendon left (<b>left</b>) and the right AT (<b>right</b>) for different sports in all 38 professional female athletes (VB: volleyball <span class="html-italic">n</span> = 13; HB: handball <span class="html-italic">n</span> = 11; HT: hammer throw <span class="html-italic">n</span> = 9; S: swimming <span class="html-italic">n</span> = 5).</p>
Full article ">Figure 2
<p>Boxplots of the stiffness of the left soleus muscle (<b>left</b>) and the right soleus muscle (<b>right</b>) for different sports in all 38 professional female athletes (VB: volleyball <span class="html-italic">n</span> = 13; HB: handball <span class="html-italic">n</span> = 11; HT: hammer throw <span class="html-italic">n</span> = 9; S: swimming <span class="html-italic">n</span> = 5).</p>
Full article ">
17 pages, 2609 KiB  
Article
Influence of Certification Program on Treatment Quality and Survival for Rectal Cancer Patients in Germany: Results of 13 Certified Centers in Collaboration with AN Institute
by Mihailo Andric, Jessica Stockheim, Mirhasan Rahimli, Sara Al-Madhi, Sara Acciuffi, Maximilian Dölling, Roland Siegfried Croner and Aristotelis Perrakis
Cancers 2024, 16(8), 1496; https://doi.org/10.3390/cancers16081496 - 13 Apr 2024
Viewed by 971
Abstract
Introduction: The certification of oncological units as colorectal cancer centers (CrCCs) has been proposed to standardize oncological treatment and improve the outcomes for patients with colorectal cancer (CRC). The proportion of patients with CRC in Germany that are treated by a certified center [...] Read more.
Introduction: The certification of oncological units as colorectal cancer centers (CrCCs) has been proposed to standardize oncological treatment and improve the outcomes for patients with colorectal cancer (CRC). The proportion of patients with CRC in Germany that are treated by a certified center is around 53%. Lately, the effect of certification on the treatment outcomes has been critically discussed. Aim: Our aim was to investigate the treatment outcomes in patients with rectal carcinoma at certified CrCCs, in German hospitals of different medical care levels. Methods: We performed a retrospective analysis of a prospective, multicentric database (AN Institute) of adult patients who underwent surgery for rectal carcinoma between 2002 and 2016. We included 563 patients from 13 hospitals of different medical care levels (basic, priority, and maximal care) over periods of 5 years before and after certification. Results: The certified CrCCs showed a significant increase in the use of laparoscopic approach for rectal cancer surgery (5% vs. 55%, p < 0.001). However, we observed a significantly prolonged mean duration of surgery in certified CrCCs (161 Min. vs. 192 Min., p < 0.001). The overall morbidity did not improve (32% vs. 38%, p = 0.174), but the appearance of postoperative stool fistulas decreased significantly in certified CrCCs (2% vs. 0%, p = 0.036). Concerning the overall in-hospital mortality, we registered a positive trend in certified centers during the five-year period after the certification (5% vs. 3%, p = 0.190). The length of preoperative hospitalization (preop. LOS) was shortened significantly (4.71 vs. 4.13 days, p < 0.001), while the overall length of in-hospital stays was also shorter in certified CrCCs (20.32 vs. 19.54 days, p = 0.065). We registered a clear advantage in detailed, high-quality histopathological examinations regarding the N, L, V, and M.E.R.C.U.R.Y. statuses. In the performed subgroup analysis, a significantly longer overall survival after certification was registered for maximal medical care units (p = 0.029) and in patients with UICC stage IV disease (p = 0.041). In patients with UICC stage III disease, we registered a slightly non-significant improvement in the disease-free survival (UICC III: p = 0.050). Conclusions: The results of the present study indicate an improvement in terms of the treatment quality and outcomes in certified CrCCs, which is enforced by certification-specific aspects such as a more differentiated surgical approach, a lower rate of certain postoperative complications, and a multidisciplinary approach. Further prospective clinical trials are necessary to investigate the influence of certification in the treatment of CRC patients. Full article
(This article belongs to the Special Issue The Survival of Colon and Rectal Cancer)
Show Figures

Figure 1

Figure 1
<p>Presentation of time-related collective building according to the moment of the hospital’s certification as a colorectal cancer center.</p>
Full article ">Figure 2
<p>Presentation of overall survival five years before and five years after certification according to medical care level.</p>
Full article ">Figure 3
<p>Presentation of disease-free survival five years before and five years after certification according to medical care level.</p>
Full article ">Figure 4
<p>Presentation of overall survival five years before and five years after certification according to UICC stage.</p>
Full article ">Figure 5
<p>Presentation of disease-free survival five years before and five years after certification according to UICC stage.</p>
Full article ">Figure 6
<p>Presentation of overall survival five years before and five years after certification according to particular UICC stage.</p>
Full article ">Figure 7
<p>Presentation of disease-free survival five years before and five years after certification according to particular UICC stage.</p>
Full article ">
13 pages, 1540 KiB  
Article
Tumor-Infiltrating Lymphocyte Level Consistently Correlates with Lower Stiffness Measured by Shear-Wave Elastography: Subtype-Specific Analysis of Its Implication in Breast Cancer
by Na Lae Eun, Soong June Bae, Ji Hyun Youk, Eun Ju Son, Sung Gwe Ahn, Joon Jeong, Jee Hung Kim, Yangkyu Lee and Yoon Jin Cha
Cancers 2024, 16(7), 1254; https://doi.org/10.3390/cancers16071254 - 22 Mar 2024
Viewed by 1031
Abstract
Background: We aimed to elucidate the clinical significance of tumor stiffness across breast cancer subtypes and establish its correlation with the tumor-infiltrating lymphocyte (TIL) levels using shear-wave elastography (SWE). Methods: SWE was used to measure tumor stiffness in breast cancer patients from January [...] Read more.
Background: We aimed to elucidate the clinical significance of tumor stiffness across breast cancer subtypes and establish its correlation with the tumor-infiltrating lymphocyte (TIL) levels using shear-wave elastography (SWE). Methods: SWE was used to measure tumor stiffness in breast cancer patients from January 2016 to August 2020. The association of tumor stiffness and clinicopathologic parameters, including the TIL levels, was analyzed in three breast cancer subtypes. Results: A total of 803 patients were evaluated. Maximal elasticity (Emax) showed a consistent positive association with an invasive size and the pT stage in all cases, while it negatively correlated with the TIL level. A subgroup-specific analysis revealed that the already known parameters for high stiffness (lymphovascular invasion, lymph node metastasis, Ki67 levels) were significant only in hormone receptor-positive and HER2-negative breast cancer (HR + HER2-BC). In the multivariate logistic regression, an invasive size and low TIL levels were significantly associated with Emax in HR + HER2-BC and HER2 + BC. In triple-negative breast cancer, only TIL levels were significantly associated with low Emax. Linear regression confirmed a consistent negative correlation between TIL and Emax in all subtypes. Conclusions: Breast cancer stiffness presents varying clinical implications dependent on the tumor subtype. Elevated stiffness indicates a more aggressive tumor biology in HR + HER2-BC, but is less significant in other subtypes. High TIL levels consistently correlate with lower tumor stiffness across all subtypes. Full article
(This article belongs to the Special Issue Application of Imaging in Breast Cancer)
Show Figures

Figure 1

Figure 1
<p>Study flowchart with inclusion and exclusion criteria. HR + HER2-, hormone receptor-positive, HER2-negative; BC, breast cancer; TNBC, triple-negative breast cancer; SWE, shear-wave elastography.</p>
Full article ">Figure 2
<p>Clinicopathologic implication of tumor stiffness in different tumor subtypes. Med, median; ROC, ROC-derived threshold.</p>
Full article ">Figure 3
<p>Correlation of tumor stiffness with clinicopathologic parameters in different tumor subtypes. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001; <span class="html-italic">r</span>, Pearson correlation coefficient.</p>
Full article ">Figure 4
<p>Forest plots of logistic regression analysis assessing the association between tumor stiffness and clinicopathologic parameters across different tumor subtypes.</p>
Full article ">
13 pages, 887 KiB  
Article
Platelet Reactivity in the Exacerbation of Psoriasis
by Piotr Adamski, Urszula Adamska, Katarzyna Buszko, Joanna Sikora and Rafał Czajkowski
J. Clin. Med. 2024, 13(4), 965; https://doi.org/10.3390/jcm13040965 - 8 Feb 2024
Viewed by 1221
Abstract
Background: Psoriasis is a chronic, inflammatory, immune-mediated disease with a specific cutaneous presentation. Increased platelet aggregation has been observed in patients with extensive psoriatic lesions. The aim of this study was to evaluate the clinical factors affecting platelet reactivity in patients with an [...] Read more.
Background: Psoriasis is a chronic, inflammatory, immune-mediated disease with a specific cutaneous presentation. Increased platelet aggregation has been observed in patients with extensive psoriatic lesions. The aim of this study was to evaluate the clinical factors affecting platelet reactivity in patients with an exacerbation of psoriasis. Methods: This was a prospective, single-center, observational study, enrolling patients hospitalized for an aggravation of psoriasis. Enrolled patients underwent single platelet function testing with light transmission aggregometry on the first morning of hospitalization. Results: 120 patients were enrolled in the study. Of the compared subgroups, women had higher maximal platelet aggregation (MPA) than men (77% vs. 72%; p = 0.03), and those with BMIs < 25 kg/m2 showed higher platelet reactivity compared to subjects with BMIs ≥ 25 kg/m2 (75% vs. 73%; p = 0.02). There was a positive correlation between MPA and platelet count (r = 0.27; p < 0.01), as well as C-reactive protein concentration (r = 0.20; p = 0.03), while a negative correlation was observed with total cholesterol (r = −0.24; p = 0.01) and triglycerides (r = −0.30; p < 0.01). A two-step analysis based on multidimensional models with random effects revealed that every increase in the platelet count by 103/μL led to an increase in MPA by 0.07% (R2 = 0.07; p < 0.01), and an increase in triglycerides’ concentration by 1 mg/dL was related to a reduction in MPA by 0.05% (R2 = 0.07; p < 0.01). Conclusions: The increased platelet reactivity observed in patients with psoriasis appears to be multifactorial and related to several clinical and laboratory features. Further research is warranted to put these findings into a clinical perspective. Full article
(This article belongs to the Special Issue New Clinical Advances in Psoriasis and Psoriatic Arthritis)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Platelet reactivity of study participants. (<b>A</b>) all study participants; (<b>B</b>) comparison between women and men; (<b>C</b>) comparison between patients without and with elevated BMI. Comparisons between groups presented in (<b>B</b>,<b>C</b>) were made with the use of χ<sup>2</sup> test with Pearson correction. ADP: adenosine diphosphate; BMI: body mass index; MPA: maximal platelet aggregation.</p>
Full article ">Figure 2
<p>Correlations between clinical and laboratory variables and maximal platelet reactivity in patients with psoriasis. Evaluation of correlations between MPA and presented variables was performed with the use of Pearson’s coefficient and a correlation coefficient significance test. Variables with statistically significant correlation coefficients are marked in bold. BMI: body mass index; BSA: body surface area; DLQI: Dermatology Life Quality Index; MPA: maximal platelet aggregation; PASI: Psoriasis Area and Severity Index.</p>
Full article ">
Back to TopTop