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14 pages, 3785 KiB  
Article
Changing Epidemiology of Myocarditis in Australia: A Population-Based Cohort Study
by Timothy Nathan Kwan, Gemma Kwan, David Brieger, Leonard Kritharides, Vincent Chow and Austin Chin Chwan Ng
J. Clin. Med. 2024, 13(23), 7111; https://doi.org/10.3390/jcm13237111 (registering DOI) - 24 Nov 2024
Abstract
Background: Myocarditis is a serious disease that has drawn increasing attention due to its association with COVID-19 and vaccination. This study investigates the epidemiology of myocarditis beyond the COVID-19 pandemic, including its incidence and outcomes over time. Methods: We analyzed the [...] Read more.
Background: Myocarditis is a serious disease that has drawn increasing attention due to its association with COVID-19 and vaccination. This study investigates the epidemiology of myocarditis beyond the COVID-19 pandemic, including its incidence and outcomes over time. Methods: We analyzed the population-wide retrospective data from the Admitted-Patient-Data-Collection database of patients admitted to hospitals in New South Wales (NSW), Australia, with a diagnosis of myocarditis from 2001 to 2022. The incidence of myocarditis, changing classification of myocarditis over time, and complications of myocarditis over time were all calculated. Results: There were 4071 patients diagnosed with their first episode of myocarditis, with a median age of 42 years old, and 66% were male. The incidence of myocarditis in NSW has tripled over 20-years to 8.3 per-100,000-persons by 2022. Reactive myocarditis (i.e., myocarditis within 30-days of a respiratory or digestive illness) accounted for 38% of first presentations of myocarditis. Post COVID-19 myocarditis, a subset of reactive myocarditis, accounted for 42% of myocarditis admissions since the onset of the COVID-19 pandemic in Australia. Eight percent of patients had a background history of malignancy, and 6% had a history of autoimmune disease. In-hospital mortality was 4.5% during the entire study period but has been falling by 11% per year. During follow up, most readmissions for myocarditis occurred within 6-months; with 5.1% recurrence at 6-months compared to only 6.7% at 5-years. Conclusions: Myocarditis is an important condition with increasing incidence in Australia and with markedly changing characteristics in the pandemic and post pandemic era. Full article
(This article belongs to the Section Cardiology)
17 pages, 2078 KiB  
Article
The Relationship Between the Spatial Occurrence of Leptospira Exposed Animals and the Characteristics of the Peridomiciles They Inhabit in a Locality of Southeastern Mexico
by Alejandro Suárez-Galaz, Enrique Reyes-Novelo, Anabel Cruz-Romero, Rodrigo Ramos-Vázquez, Jesús Alonso Panti-May, Hugo Ruiz-Piña, Sokani Sánchez-Montes and Marco Torres-Castro
Pathogens 2024, 13(12), 1037; https://doi.org/10.3390/pathogens13121037 (registering DOI) - 24 Nov 2024
Abstract
The occurrence of Leptospira in mammals is an indicator for assessing potential health risks, particularly in tropical regions. Understanding their hosts’ habitat characteristics and spatial occurrence is essential to surveil them. This study aimed to determine the characteristics of the peridomiciles associated with [...] Read more.
The occurrence of Leptospira in mammals is an indicator for assessing potential health risks, particularly in tropical regions. Understanding their hosts’ habitat characteristics and spatial occurrence is essential to surveil them. This study aimed to determine the characteristics of the peridomiciles associated with the spatial occurrence of Leptospira hosts. We inventoried the characteristics of the peridomiciles. Blood serum was gathered from dogs, opossums, and rodents for a microagglutination essay to detect exposure to several serogroups of Leptospira. A generalized linear model with binomial distribution helped estimate risk ratios and 95% confidence intervals between a seropositive animal’s occurrence and the peridomiciles’ characteristics. For estimates with the occurrence of one or more seropositive animals, a multinomial model was fitted. The seroprevalence in rodents was 81.8%; in opossums 31.2%; and 56.5% for dogs. The most frequent serogroup in dogs and rodents was Canicola. In opossums, the seroreaction was against Tarassovi, Ballum, Sejroe, and Cynopteri. The results showed that the peridomicile area (m2), the geographic polygon, and the accumulation of plastic containers (PET) were characteristics related to the occurrence of seropositive animals. The results revealed that the peridomicile’s characteristics and spatial distribution in the locality help explain the occurrence of Leptospira hosts. Full article
(This article belongs to the Special Issue Zoonotic Pathogens in the Tropics: From the Forest to the Cities)
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Figure 1

Figure 1
<p>The polygon of Ucú, Yucatan, showing the geographic location and some peridomicile characteristics. (<b>A</b>): Map of Mexico, (<b>B</b>): Map of Ucú, (<b>C</b>): Stone wall, (<b>D</b>): Buildings for animal husbandry, (<b>E</b>): Production animals, (<b>F</b>): Accumulation of miscellaneous items, (<b>G</b>): Accumulation of PET, (<b>H</b>): Accumulation of wood.</p>
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<p>(<b>A</b>) Binomial generalized linear model fit estimating the probability of finding a seropositive animal according to the peridomicile area (m<sup>2</sup>). The dotted lines represent the 95% confidence interval of the estimate. (<b>B</b>) Binomial generalized linear model fit estimating the probability of finding a seropositive animal according to the peridomicile area (m<sup>2</sup>) adjusted to the geographic polygon of Ucú, Yucatan, Mexico.</p>
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23 pages, 4950 KiB  
Article
Comparative Evaluation of Open-Source Bioinformatics Pipelines for Full-Length Viral Genome Assembly
by Levente Zsichla, Marius Zeeb, Dávid Fazekas, Éva Áy, Dalma Müller, Karin J. Metzner, Roger D. Kouyos and Viktor Müller
Viruses 2024, 16(12), 1824; https://doi.org/10.3390/v16121824 (registering DOI) - 24 Nov 2024
Abstract
The increasingly widespread application of next-generation sequencing (NGS) in clinical diagnostics and epidemiological research has generated a demand for robust, fast, automated, and user-friendly bioinformatics workflows. To guide the choice of tools for the assembly of full-length viral genomes from NGS datasets, we [...] Read more.
The increasingly widespread application of next-generation sequencing (NGS) in clinical diagnostics and epidemiological research has generated a demand for robust, fast, automated, and user-friendly bioinformatics workflows. To guide the choice of tools for the assembly of full-length viral genomes from NGS datasets, we assessed the performance and applicability of four open-source bioinformatics pipelines (shiver—for which we created a user-friendly Dockerized version, referred to as dshiver; SmaltAlign; viral-ngs; and V-pipe) using both simulated and real-world HIV-1 paired-end short-read datasets and default settings. All four pipelines produced consensus genome assemblies with high quality metrics (genome fraction recovery, mismatch and indel rates, variant calling F1 scores) when the reference sequence used for assembly had high similarity to the analyzed sample. The shiver and SmaltAlign pipelines (but not viral-ngs and V-Pipe) also showed robust performance with more divergent samples (non-matching subtypes). With empirical datasets, SmaltAlign and viral-ngs exhibited an order of magnitude shorter runtime compared to V-Pipe and shiver. In terms of applicability, V-Pipe provides the broadest functionalities, SmaltAlign and dshiver combine user-friendliness with robustness, while the use of viral-ngs requires less computational resources compared to other pipelines. In conclusion, if a closely matched reference sequence is available, all pipelines can reliably reconstruct viral consensus genomes; therefore, differences in user-friendliness and runtime may guide the choice of the pipeline in a particular setting. If a matched reference sequence cannot be selected, we recommend shiver or SmaltAlign for robust performance. The new Dockerized version of shiver offers ease of use in addition to the accuracy and robustness of the original pipeline. Full article
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Figure 1

Figure 1
<p>Detailed workflow of the benchmarking pipeline: Data sources are depicted as cylindrical boxes with red (SS+NGS dataset), yellow (SGS-FULL dataset), and blue (SIM dataset) coloring, depending on the specific dataset analyzed. Analysis steps are shown as rectangles, and important files as parallelograms. Within the rectangles, tools used in each analysis step are shown in square brackets, and file extensions are indicated in parentheses. For the SS+NGS dataset, the benchmarking reference sequence and raw read files were directly supplied. For the SGS-FULL dataset, the benchmarking reference was estimated using the consensus of all sequenced viral genomes, and the sequencing reads were simulated based on all viral variants. In the case of the SIM dataset, both data types were simulated. The raw reads were then preprocessed and mapped to the benchmarking sequence, and viral variants were identified to produce the benchmarking mapping and variant files. After that, the raw reads and configuration files were supplied for each pipeline to perform genome assembly. The preprocessed reads were mapped to these genome assemblies, and minority variants were identified for each tool separately. Finally, the consensus genomes and downstream analysis files were compared to the benchmarking datasets to obtain benchmarking quality metrics. All information on the pipeline, the developed in-house scripts, and their parametrization is available in the GitHub repository of this project at <a href="https://github.com/hcovlab/ViralNGSBenchmarking" target="_blank">https://github.com/hcovlab/ViralNGSBenchmarking</a> (accessed on 23 November 2024). Abbreviations: QS—quasispecies, QC—quality control.</p>
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<p>Within-host viral diversity of empirical and simulated quasispecies: Changes in (<b>A</b>) quasispecies diversity in the env region and (<b>B</b>) whole-genome divergence from reference for all subtypes by the number of generations in the simulated datasets (both measured by their Hamming distances). (<b>C</b>) Mean sequence diversity of the <span class="html-italic">env</span> gene throughout infection (for samples with 10 or more sequences) reported by Shankarappa et al. [<a href="#B66-viruses-16-01824" class="html-bibr">66</a>]. (<b>D</b>) Mean average Hamming distances for defective and intact sequence subpopulations and overall populations in the SGS-FULL dataset (limited to the <span class="html-italic">env</span> gene). Abbreviations: BM—benchmarking.</p>
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<p>Illustrative comparison of genome assemblies with varying degrees of divergence between the selected simulated samples and the sequence used as a reference in the assembly: Each panel consists of (from top to bottom) the benchmark assembly (“ground truth”) from a simulated sample, assembled consensus genomes generated with the four pipelines, and the reference sequence used in the assembly; color coding illustrates differences (mismatches, indels, and larger gaps) from the benchmark sequence in all cases. (<b>A</b>) Group M subtype B sample with a matching HXB2 reference sequence. (<b>B</b>) Group M subtype C sample with HXB2 reference sequence. (<b>C</b>) Highly divergent group O sample with HXB2 reference sequence. (<b>D</b>) Group O sample with a matching group O reference sequence.</p>
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<p>Assembly quality by viral subtype in the SIM dataset: Assemblers are compared based on (<b>A</b>) the proportion of recovered positions in the genome, (<b>B</b>) the rate of single-nucleotide mismatches per 10 kb, (<b>C</b>) the rate of small insertions and deletions (indels) per 10 kb, and (<b>D</b>) the number of misassemblies compared to the benchmarking sequence separately for each subtype scenario (see description in the main text). The data shown here include both coverage and contamination scenarios within one subtype.</p>
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<p>Assembly quality by scenario in the SIM dataset: Assemblers are compared based on (<b>A</b>) genome fraction recovery, (<b>B</b>) mismatch rates per 10 kb, (<b>C</b>) indel rates per 10 kb, and (<b>D</b>) the number of misassemblies compared to the benchmarking sequence for the combination of both coverage and contamination scenarios (see description in Materials and Methods). The data shown include simulation results with all virus types. Abbreviations: cont—contaminated, nocont—not contaminated, highcov—high coverage, lowcov—low coverage.</p>
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<p>Read mapping and variant calling by viral subtype in the SIM dataset: Assemblers are compared based on (<b>A</b>) the difference in the rate of properly paired reads between the assembly and the reference mapping, i.e., read mapping precision, (<b>B</b>) the F1 score, (<b>C</b>) the precision, and (<b>D</b>) the recall of minority variant calling compared to the benchmarking variant set separately for each subtype scenario (see description in the main text). The data shown here include both coverage and contamination scenarios within one subtype. Abbreviations: REF—reference, ASS—assembly, PPR%—percentage of properly paired reads.</p>
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<p>Runtime and memory usage by scenario: Comparison of genome assemblers based on computational needs. Maximum memory usage (MRSS) is compared in the (<b>A</b>) SIM and (<b>B</b>) NGS-FULL datasets, (<b>C</b>) CPU usage (100% equals 1 full CPU core) in the SIM dataset, and CPU time in the (<b>D</b>) SIM, (<b>E</b>) NGS-FULL, and (<b>F</b>) SS+NGS datasets. Panels (<b>A</b>), (<b>C</b>), and (<b>D</b>) stratify results according to coverage and contamination scenarios, while panels (<b>B</b>), (<b>E</b>), and (<b>F</b>) show trends with varying dataset size (number of reads). On panels (<b>B</b>), (<b>D</b>), (<b>E</b>), and (<b>F</b>), the benchmarking metric is shown on a log10 scale. Abbreviations: MRSS—maximum resident set size, cont—contaminated, nocont—not contaminated, highcov—high coverage, lowcov—low coverage.</p>
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<p>Multidimensional performance of genome assemblers: Benchmarking metrics are compared for (<b>A</b>) the SIM dataset—in particular for (<b>B</b>) subtype B, (<b>C</b>) subtype C, and (<b>D</b>) group O results—and for the (<b>E</b>) SGS-FULL and (<b>F</b>) SS+NGS datasets. For each metric, the relative score between 100% and 0% was calculated using the following threshold values: completeness—100% and 50% median genome fraction recovery; SNPs—0 and 250 median mismatch rate/10 kb; indels—0 and 25 median indel rate/10 kb; misassemblies—0 and 5 mean misassemblies; mapping—100% and 50% median mapping precision; variants—1 and 0.75 median F1 scores; runtime—0 h and 1 h median user time; and memory—1 GB and 2 GB median maximum resident set size.</p>
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19 pages, 552 KiB  
Article
Isolation and Detection of the Emerging Pathogen Escherichia albertii in Clinical Stool Samples and the Potential Transmission by Meat Samples in Retail
by Muhammad Zeeshan Zafar, Klara De Rauw, Anne-Marie Van den Abeele, Marie Joossens, Lore Heyvaert and Kurt Houf
Microorganisms 2024, 12(12), 2408; https://doi.org/10.3390/microorganisms12122408 (registering DOI) - 23 Nov 2024
Viewed by 304
Abstract
The significance of Escherichia albertii as a foodborne pathogen is increasingly acknowledged, but the assessment of its occurrence and transmission remains challenging due to the lack of validation of selective isolation, detection, and identification methods. The aim of the present study was to [...] Read more.
The significance of Escherichia albertii as a foodborne pathogen is increasingly acknowledged, but the assessment of its occurrence and transmission remains challenging due to the lack of validation of selective isolation, detection, and identification methods. The aim of the present study was to examine its presence on various meat samples at the retail level in order to assess a potential foodborne transmission and its occurrence in clinical stool samples. First, the evaluation and selection of a selective enrichment broth and isolation medium, combined with an optimized identification by MALDI-TOF MS, as well as a suitable DNA extraction method and a PCR-based detection strategy were developed. After the evaluation of existing isolation strategies and the formulation of an adapted enrichment and isolation medium, 100% isolation specificity was not achieved. An identity confirmation of suspected colonies remains necessary. A total of 292 samples, including 45 beef fillet, 51 minced beef, 50 pork fillet, 30 minced pork, 30 chicken carcass, 51 chicken fillet, and 35 minced chicken samples were examined. Samples were all collected at the retail level, including supermarkets and local butcheries. Escherichia albertii was isolated from two chicken fillets (3.9%) and additionally detected in one minced chicken (4.5%) and two other chicken fillet (4.5%) samples by a PCR assay. All beef and pork samples tested negative for its presence, but transmission through these meat types cannot be excluded, as it potentially correlates with the level of fecal contamination that was significantly higher on poultry products. With other hygienic conditions and processing steps applied, the presence of E. albertii on food can therefore differ in other parts of the world. Escherichia albertii was present in 0.4% of the 2419 clinical stool samples examined. The future development of a chromogenic isolation medium, as well as further extensive epidemiologic approaches and a genomic comparison of human, food, and animal isolates, could enhance the assessment of the emerging pathogen status and its potential as a foodborne hazard. Full article
(This article belongs to the Section Food Microbiology)
18 pages, 6291 KiB  
Article
Parasitic Infections in Stranded Whales and Dolphins in Canary Islands (2018–2022): An Update
by Zuleima Suárez-González, Jorge F. González, Manuel Arbelo, Eva Sierra, Ayoze Castro-Alonso, Julia N. Hernández, Vidal Martín, Natalia Fraija-Fernández and Antonio Fernández
Animals 2024, 14(23), 3377; https://doi.org/10.3390/ani14233377 (registering DOI) - 23 Nov 2024
Viewed by 399
Abstract
The Canary Islands are considered a hot spot for marine species biodiversity. Each stranded cetacean has provided important scientific, biological and pathological information. The morphological identification of parasites in these stranded cetaceans is the main aim of the present article. An investigation to [...] Read more.
The Canary Islands are considered a hot spot for marine species biodiversity. Each stranded cetacean has provided important scientific, biological and pathological information. The morphological identification of parasites in these stranded cetaceans is the main aim of the present article. An investigation to identify parasites was carried out in 233 stranded animals (2018–2022), which were submitted for necropsy. Adult and sub-adult/juvenile animals were the most parasitized age categories, and eighteen parasite species were morphologically identified, including nematodes (Crassicauda grampicola, Crassicauda anthonyi, Halocercus delphini, Anisakis simplex, Stenurus globicephalae, Stenurus ovatus), trematodes (Nasitrema delphini, Oschmarinella rochebruni, Brachycladium atlanticum, Pholeter gastrophilus), cestodes (Clistobothrium delphini, Clistobothrium grimaldii), acanthocephalans (Bolbosoma vasculosum, Bolbosoma capitatum), protists (Toxoplasma gondii) and crustaceans (Conchoderma auritum, Xenobalanus globicipitis, Pennella balaenoptera), as well as nine genera: Crassicauda sp., Halocercus sp., Anisakis sp., Stenurus sp., Nasitrema sp., Oschmarinella sp., Dyphyllobothrium sp., Cyamus sp., Conchoderma sp., and Sarcocystis sp. These could not be identified at the species level. Differences in the host specificity of some parasites were observed, varying in prevalence. The accurate morphological identification of the parasites affecting these marine mammals is essential to understanding disease epidemiology, assessing cetacean populations’ health status, and developing effective conservation and management strategies. Full article
(This article belongs to the Special Issue Wildlife Diseases: Pathology and Diagnostic Investigation)
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Figure 1
<p>Microscopic views of the nematodes (<b>A</b>) Posterior end of a male (papillae in asterisk) of <span class="html-italic">Crassicauda anthonyi</span>. (<b>B</b>) Posterior end of a male of <span class="html-italic">Crassicauda grampicola</span> in the pterygoid sacs of <span class="html-italic">Grampus griseus</span>. (<b>C</b>) Posterior end of a male of <span class="html-italic">Halocercus delphini</span>. (<b>D</b>) Posterior end of a female of <span class="html-italic">Stenurus ovatus</span> (inflammation of the cuticle in asterisk). (<b>E</b>) Posterior end of a female <span class="html-italic">Stenurus globicephalae</span>. (<b>F</b>) Posterior end of a female of <span class="html-italic">Anisakis simplex</span>.</p>
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<p>(<b>A</b>) Anterior end of <span class="html-italic">Nasitrema delphini</span>. (<b>B</b>) Detail of the posterior third quarter of the body of <span class="html-italic">Brachycladium atlanticum</span> showing the genitalia (testes in asterisks). (<b>C</b>) Detail of the middle third quarter of the body of <span class="html-italic">Oschmarinella rochebruni</span> showing the testes (asterisks). (<b>D</b>) Histological view of <span class="html-italic">Pholeter gastrophilus</span> in pyloric stomach leading to granulomatous gastritis. H-E stain.</p>
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<p>(<b>A</b>) Gravid proglottid of <span class="html-italic">Diphyllobothrium</span> sp. (<b>B</b>) <span class="html-italic">Clistobothrium delphini</span> cyst at subcutaneous tissue. (<b>C</b>) <span class="html-italic">Clistobothrium grimaldii</span> cyst in the abdominal serosa.</p>
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<p>(<b>A</b>) Anterior end of <span class="html-italic">Bolbosoma vasculosum</span>. (<b>B</b>) <span class="html-italic">Bolbosoma capitatum</span> embedded in the intestinal mucosa of one short-finned pilot whale during necropsy.</p>
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<p>(<b>A</b>) <span class="html-italic">Cyamus</span> sp. associated with a linear injury in one <span class="html-italic">Ziphius cavirostris</span> during necropsy. (<b>B</b>) <span class="html-italic">Conchoderma auritum</span> attached to the rostral border of the mandible of a <span class="html-italic">Ziphius cavirostris</span>. (<b>C</b>) <span class="html-italic">Xenobalanus globicipitis</span> attached to the dorsal tail in a <span class="html-italic">Delphinus delphis</span>. (<b>D</b>) <span class="html-italic">Pennella balaenoptera</span> associated with ulceration in a <span class="html-italic">Ziphius cavirostris</span>.</p>
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<p>(<b>A</b>) Histological views of cysts of <span class="html-italic">Sarcocystis</span> sp. in the skeletal muscle. H-E stain. Inset: details of the cyst. x40 H-E. (<b>B</b>) Lymphohistiocytic to granulomatous inflammation with some associated <span class="html-italic">T. gondii</span> protist cysts (asterisk) of the CNS. H-E stain.</p>
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8 pages, 846 KiB  
Article
Leading Causes of US Deaths in the 2022
by Camilla Mattiuzzi and Giuseppe Lippi
J. Clin. Med. 2024, 13(23), 7088; https://doi.org/10.3390/jcm13237088 (registering DOI) - 23 Nov 2024
Viewed by 149
Abstract
Background and Objective: Obtaining reliable and up-to-date information on mortality causes is essential for the planning and implementation of effective preventive interventions. We present here an analysis of the leading causes of death in the US in 2022. Material and Methods: We conducted [...] Read more.
Background and Objective: Obtaining reliable and up-to-date information on mortality causes is essential for the planning and implementation of effective preventive interventions. We present here an analysis of the leading causes of death in the US in 2022. Material and Methods: We conducted an electronic search of the US Centers for Control and Prevention (CDC) Web-based Injury Statistics Query and Reporting System (WISQARS) and Wide-Ranging, Online Data for Epidemiologic Research (WONDER) to obtain information on the leading causes of death in the US for the most recent searchable year with definitive data (i.e., 2022), stratified by age and sex. Results: Overall, heart disease was the leading cause of death (26.2% of all deaths), followed by malignant neoplasms (22.7%), unintentional injuries (8.5%) and coronavirus disease 2019 (COVID-19; 6.9%). Although heart disease and malignant neoplasms remained the leading causes of death in both sexes, unintentional injuries were the third cause for men (10.5%), while strokes were the third cause in women (7.5%). COVID-19 remained the fourth most common cause of death in both sexes (7.1% in men and 6.8% in women). The ten most common causes of death showed an increasing mortality tendency in parallel with the aging of population, with similar trends for both sexes. The only exception was unintentional injury, which was the most common cause of death in both sexes between the ages of 15-44 years, then reached a plateau, before increasing again in people aged 65 years or older. Conclusions: Greater efforts should be put into prevention and education, as heart disease, cancer, and even unintentional injuries are preventable diseases. Full article
8 pages, 1395 KiB  
Communication
Genomic Analysis of Carbapenem-Resistant Acinetobacter baumannii Isolated from Bloodstream Infections in South Korea
by Wook Jong Jeon, Yoo Jung Kim, Ju Hui Seo, Jung Sik Yoo and Dong Chan Moon
Antibiotics 2024, 13(12), 1124; https://doi.org/10.3390/antibiotics13121124 (registering DOI) - 23 Nov 2024
Viewed by 243
Abstract
Background/Objectives: Bloodstream infection by carbapenem-resistant Acinetobacter baumannii (CRAB) is a serious clinical problem worldwide. To study its clonal relationship and genetic features, we report the draft genome sequence of CRAB strains isolated from human blood in South Korea. Methods: Among A. baumannii strains [...] Read more.
Background/Objectives: Bloodstream infection by carbapenem-resistant Acinetobacter baumannii (CRAB) is a serious clinical problem worldwide. To study its clonal relationship and genetic features, we report the draft genome sequence of CRAB strains isolated from human blood in South Korea. Methods: Among A. baumannii strains isolated from patients at nine general hospitals in 2020, 12 CRAB strains of different genotypes were selected. Genomic DNA was sequenced using a combination of Illumina MiSeq and Oxford Nanopore MinION platforms. Antimicrobial susceptibility testing was performed using the disk diffusion method. Antimicrobial resistance and virulence genes were investigated in silico using the Center for Genomic Epidemiology server and the Virulence Factors Database. Results: The multilocus sequence types of isolates included ST191, ST195, ST357, ST369, ST451, ST469, ST491, ST784, ST862, ST1933, ST2929, and a novel type, ST3326. The predominant sequence type, ST191, demonstrated close genetic relationships with several isolates, including ST469, ST369, ST195, ST784, ST491, and ST3326, with ST3326 classified as a subgroup of ST191. We found 18 antimicrobial resistance genes and one quaternary ammonium compound resistance gene. All examined strains harbored blaOXA-23, which is associated with carbapenem resistance. While variations in antibiotic and disinfectant resistance genes were observed, all isolates exhibited similar virulence factors, with the exception of the biofilm and capsule production genes. Conclusions: This nationwide report of the draft genome sequence of patient-derived strains provides valuable insights into the genomic features associated with clonal relationships and antimicrobial resistance of CRAB in bloodstream infections. Full article
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Figure 1
<p>wgMLST (OXFORD)-based phylogeny of 12 <span class="html-italic">A. baumannii</span> isolates. <span class="html-italic">A. baumannii</span> isolates are depicted as circles interconnected by branches whose lengths correspond to the allelic distance.</p>
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<p>Antimicrobial resistance gene patterns in 12 carbapenem-resistant <span class="html-italic">A. baumannii</span> isolates from bloodstream infections.</p>
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<p>Pattern of virulence factors in the 12 carbapenem-resistant <span class="html-italic">A. baumannii</span> isolates from bloodstream infections.</p>
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29 pages, 6101 KiB  
Review
Magnesium (Mg) and Neurodegeneration: A Comprehensive Overview of Studies on Mg Levels in Biological Specimens in Humans Affected Some Neurodegenerative Disorders with an Update on Therapy and Clinical Trials Supplemented with Selected Animal Studies
by Agnieszka Ścibior, Juan Llopis, Paweł P. Dobrakowski and Tomasz Męcik-Kronenberg
Int. J. Mol. Sci. 2024, 25(23), 12595; https://doi.org/10.3390/ijms252312595 (registering DOI) - 23 Nov 2024
Viewed by 270
Abstract
Neurodegenerative diseases, characterized by neuron loss, are a group of neurological disorders that adversely affect the lives of millions of people worldwide. Although several medicines have been approved for managing neurodegenerative diseases, new therapies allowing for a significant slowdown in the progression of [...] Read more.
Neurodegenerative diseases, characterized by neuron loss, are a group of neurological disorders that adversely affect the lives of millions of people worldwide. Although several medicines have been approved for managing neurodegenerative diseases, new therapies allowing for a significant slowdown in the progression of neurodegenerative syndromes are constantly being sought. Magnesium (Mg), a crucial mineral necessary for the functioning of organisms, is important to normal central nervous system (CNS) activity. Although the effects of this bioelement on the CNS are relatively well recognized, its role in the pathophysiology of neurological disorders in humans is not yet well characterized. Therefore, the main goal of this review is to collect data about a possible association between Mg and neurodegenerative disorders such as Alzheimer’s disease (AD), Parkinson’s Disease (PD), and Amyotrophic lateral sclerosis (ALS) in humans. Hence, the levels of Mg in blood, cerebrospinal fluid (CSF), urine, and hair from subjects with AD, PD, and ALS are compiled to detect possible variations in the levels of this mineral in the biological specimens of people with neurodegenerative illnesses. Additionally, the findings from an animal model are summarized to offer the reader a deeper insight into studies on Mg in the context of neuroprotection and neurodegeneration. Data provided in the present review indicate that Mg, due to its neuroprotective, antioxidant, anti-inflammatory, and mitochondrial-supportive properties, could be a potential therapeutic agent for AD, PD, and ALS. However, more epidemiological studies with standardized methods of dietary assessment and Mg measurement are necessary to recognize its exact role in neurodegenerative disorders. Moreover, extensive well-designed clinical trials are also needed to establish definitive therapeutic protocols and optimal dosages, and to ensure long-term safety of this mineral supplementation in AD, PD, and ALS patients. Full article
9 pages, 1391 KiB  
Communication
Impact of the SARS-CoV-2 Pandemic on the Epidemiology of Streptococcus pyogenes: A Five-Year Retrospective Study
by Patricia Brañas, Fabiola Fontenla, María Victoria Castaño-Amores, Raúl Recio, Irene Muñoz-Gallego, Jennifer Villa, Esther Viedma and Lola Folgueira
Microorganisms 2024, 12(12), 2403; https://doi.org/10.3390/microorganisms12122403 (registering DOI) - 23 Nov 2024
Viewed by 206
Abstract
The SARS-CoV-2 pandemic significantly affected the epidemiology of Streptococcus pyogenes, a pathogen associated with various clinical presentations such as pharyngitis, scarlet fever, and invasive diseases. This study analyzed the incidence and characteristics of S. pyogenes infections between 2018 and 2023, examining 915 [...] Read more.
The SARS-CoV-2 pandemic significantly affected the epidemiology of Streptococcus pyogenes, a pathogen associated with various clinical presentations such as pharyngitis, scarlet fever, and invasive diseases. This study analyzed the incidence and characteristics of S. pyogenes infections between 2018 and 2023, examining 915 cases categorized as either respiratory or non-respiratory. Respiratory infections predominantly affected children, accounting for 76% of cases, with a median age of 5 [3, 8] years, while non-respiratory infections were more common in adults, with a median age of 46.5 [34, 64] years. Invasive respiratory infections, such as pneumonia and empyema, were more frequent in children (54.8%), whereas invasive non-respiratory infections, such as primarily cellulitis, were predominantly seen in adults (90.5%). A sharp decline in S. pyogenes infections was observed during the pandemic, with respiratory cases decreasing tenfold in 2020 compared to the previous year, and non-respiratory cases experiencing a twofold reduction. However, infection rates returned to pre-pandemic levels by 2022 and 2023, with a notable resurgence of invasive respiratory infections in children following a public health alert in the United Kingdom in late 2022. These findings highlight distinct infection patterns between pediatric and adult populations and emphasize the significant impact of the pandemic on respiratory infections, particularly in children. Full article
(This article belongs to the Special Issue Group A Streptococcus: Infection, Immunity and Vaccine Development)
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<p>Distribution of <span class="html-italic">Streptococcus pyogenes</span> isolates by sample type: (<b>A</b>) respiratory source; (<b>B</b>) non-respiratory source. <b>Footnote:</b> <span class="html-italic">S. pyogenes</span> was isolated from 11 blood cultures with an unknown focus. These samples are not included in the graphs.</p>
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<p>Comparative study of GAS infection in children and adults: (<b>A</b>) all cases of respiratory infection; (<b>B</b>) all cases of non-respiratory infection; (<b>C</b>) invasive respiratory disease; (<b>D</b>) invasive non-respiratory disease. <b>Footnote</b>: A decrease was noted in 2019 compared to 2018 at the expense of pharyngeal samples from the Pediatric Emergency Department (up to this point, positive antigenic rapid tests for GAS were sent to Microbiology for culture) (panel (<b>A</b>), green line).</p>
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<p>(<b>A</b>) Seasonal evolution of <span class="html-italic">S. pyogenes</span> throughout the study period based on the infection source. (<b>B</b>) Distribution of patients with suspected SARS-CoV-2 infection and positivity rate since the beginning of the pandemic. <b>Footnote:</b> Significant events concerning the non-pharmacological and public health measures to contain COVID-19 in the community of Madrid are shown below the arrow for each panel. <b>A. march-20</b>: Onset of the COVID-19 pandemic. State of emergency declared. National lockdown (RDL 463/2020, 14 March); <b>B. may-20:</b> End of lockdown. Small group gatherings allowed, mobility restrictions, mask use required (O. SND/422/2020, 19 May); <b>C. march-21:</b> End of state of emergency. Mandatory mask use in public places (LRJSP 2/2021, 29 March). Vaccination underway since January 2021; <b>D. february-22:</b> End of mandatory mask use outdoors (RDL 115/2022, 8 February); <b>E. april-22:</b> End of mandatory mask use indoors (RDL 268/2022, 19 April); <b>F. july-23:</b> End of mask use requirement in healthcare and social care facilities (O. SND/726/2023, 4 July).</p>
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<p>Annual number of cases of invasive GAS and incidence (cases per 100,000 persons) between 2018 and 2023: (<b>A</b>) respiratory infection; (<b>B</b>) non-respiratory infection; (<b>C</b>) all cases.</p>
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17 pages, 435 KiB  
Article
Short-Term Predictions of the Trajectory of Mpox in East Asian Countries, 2022–2023: A Comparative Study of Forecasting Approaches
by Aleksandr Shishkin, Amanda Bleichrodt, Ruiyan Luo, Pavel Skums, Gerardo Chowell and Alexander Kirpich
Mathematics 2024, 12(23), 3669; https://doi.org/10.3390/math12233669 (registering DOI) - 23 Nov 2024
Viewed by 268
Abstract
The 2022–2023 mpox outbreak exhibited an uneven global distribution. While countries such as the UK, Brazil, and the USA were most heavily affected in 2022, many Asian countries, specifically China, Japan, South Korea, and Thailand, experienced the outbreak later, in 2023, with significantly [...] Read more.
The 2022–2023 mpox outbreak exhibited an uneven global distribution. While countries such as the UK, Brazil, and the USA were most heavily affected in 2022, many Asian countries, specifically China, Japan, South Korea, and Thailand, experienced the outbreak later, in 2023, with significantly fewer reported cases relative to their populations. This variation in timing and scale distinguishes the outbreaks in these Asian countries from those in the first wave. This study evaluates the predictability of mpox outbreaks with smaller case counts in Asian countries using popular epidemic forecasting methods, including the ARIMA, Prophet, GLM, GAM, n-Sub-epidemic, and Sub-epidemic Wave frameworks. Despite the fact that the ARIMA and GAM models performed well for certain countries and prediction windows, their results were generally inconsistent and highly dependent on the country, i.e., the dataset, as well as the prediction interval length. In contrast, n-Sub-epidemic Ensembles demonstrated more reliable and robust performance across different datasets and predictions, indicating the effectiveness of this model on small datasets and its utility in the early stages of future pandemics. Full article
(This article belongs to the Special Issue Advances in Mathematical Biology and Applications)
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<p>Mpox weekly cases (weekly incidence) for China (<b>A</b>), Japan (<b>B</b>), South Korea (<b>C</b>), and Thailand (<b>D</b>) from 2 February 2023 to 28 December 2023. Weekly incidence predictions were issued for the dates that are in the highlighted area from 18 May 2023 to 30 November 2023.</p>
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<p>MSE of predictions across China, Japan, South Korea, and Thailand and four prediction horizons (1, 2, 3, and 4 weeks forward). Teal bars are the best metric for the particular combination of location and horizon, and dark orange bars are the models with the worst metrics. SW stands for Sub-epidemic Wave and SE for n-Sub-epidemic frameworks. Ranked models are singular models used for the ensembles.</p>
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<p>MAE of predictions across China, Japan, South Korea, and Thailand and four prediction horizons (1, 2, 3, and 4 weeks forward). Teal bars are the best metric for the particular combination of location and horizon, and dark orange bars are the models with the worst metrics. SW stands for Sub-epidemic Wave and SE for n-Sub-epidemic frameworks. Ranked models are singular models used for the ensembles.</p>
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<p>Coverage 95% Prediction Interval metrics across China, Japan, South Korea, and Thailand and four prediction horizons (1, 2, 3, and 4 weeks forward). Teal bars are the best metric for the particular combination of location and horizon, and dark orange bars are the models with the worst metric. SW stands for Sub-epidemic Wave and SE for n-Sub-epidemic frameworks. Ranked models are singular models used for the ensembles.</p>
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<p>WIS metrics for predictions across China, Japan, South Korea, and Thailand and four prediction horizons (1, 2, 3, and 4 weeks forward). The metric is on a logarithmic scale with a base of 10. Furthermore, all values were multiplied by 10, so no value would not go below 0. Teal bars are the best metric for the particular combination of location and horizon, and dark orange bars are the models with the worst metrics. SW stands for Sub-epidemic Wave and SE for n-Sub-epidemic frameworks. Ranked models are singular models used for the ensembles.</p>
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13 pages, 1177 KiB  
Article
Is San Diego California on Track to Reach HCV Elimination? A Modeling Analysis of Combination Prevention Strategies
by Jaskaran S. Cheema, Scott Suckow, Christian Ramers, Patrick Loose, Andrea Tomada, Samantha Tweeten, Tara Stamos-Buesig, Daniela Abramovitz, William H. Eger, Steffanie A. Strathdee and Natasha K. Martin
Viruses 2024, 16(12), 1819; https://doi.org/10.3390/v16121819 - 22 Nov 2024
Viewed by 274
Abstract
In 2020, the Eliminate Hepatitis C Initiative in the county of San Diego (COSD) was launched, a private–public joint endeavor between the COSD and the American Liver Foundation. We use epidemic modeling to assess whether the COSD is on track to reach its [...] Read more.
In 2020, the Eliminate Hepatitis C Initiative in the county of San Diego (COSD) was launched, a private–public joint endeavor between the COSD and the American Liver Foundation. We use epidemic modeling to assess whether the COSD is on track to reach its elimination targets (80% reduction in incidence, 65% reduction in hepatitis C virus (HCV)-related mortality by 2030 compared to 2015) and what intervention scale-up may be required. We adapted a previously developed dynamic, deterministic model of HCV transmission and disease progression among adults in the COSD, stratified by risk, age, gender, and human immunodeficiency virus (HIV) status. The model is calibrated to detailed historical epidemiological data on HCV burden, treatment, and mortality in the COSD. We project HCV infections and mortality under status quo HCV treatment (65%/year among people coinfected with HCV and HIV, 0–5%/year among others) and determine what treatment scale-up among those without HIV is required to achieve HCV elimination, with or without concomitant reductions in injection transmission risk from 2024 onward. We project an increase in new HCV infections in the COSD to 2213 [95% C.I.: 1069–3763] in 2030, a mean 91% relative increase between 2015 and 2030. HCV-related deaths are expected to decrease to 246 [95% C.I.: 180–295] in 2030, a mean relative decrease of 14% compared to 2015. The incidence elimination target could be achieved through increasing HCV treatment among those without HIV to a mean of 60%/year, similar to the level achieved among people coinfected with HCV and HIV. Combination interventions reduce the treatment needed; if injecting risk is reduced by 25%, then treating 48%/year could achieve elimination. The COSD is likely not on track to reach the incidence or mortality targets, but achieving the incidence target is possible if treatment rates overall are scaled-up to rates that have been achieved among people coinfected with HCV and HIV. Elimination is achievable but requires committed funding and expansion of comprehensive testing, linkage, and treatment programs alongside harm reduction initiatives. Full article
(This article belongs to the Special Issue Hepatitis C Virus Infection among People Who Inject Drugs)
9 pages, 347 KiB  
Case Report
The Challenge of Bacterial Strain Identification: Leptospira interrogans Serovars Australis in a Dog and Long-Term Clinical Follow-up
by Tommaso Furlanello, Elisa Mazzotta, Cristina Bertasio, Mario D’Incau, Laura Bellinati, Laura Lucchese and Alda Natale
Trop. Med. Infect. Dis. 2024, 9(12), 285; https://doi.org/10.3390/tropicalmed9120285 - 22 Nov 2024
Viewed by 234
Abstract
Leptospirosis is a widespread disease throughout the world, presenting in severe clinical forms in dogs. The pathogenicity of the different serovars in field infections is not fully documented, and clinical diagnosis is often limited to a combination of serological tests and molecular analyses. [...] Read more.
Leptospirosis is a widespread disease throughout the world, presenting in severe clinical forms in dogs. The pathogenicity of the different serovars in field infections is not fully documented, and clinical diagnosis is often limited to a combination of serological tests and molecular analyses. The latter, although a fundamental tool, cannot identify the infecting strain without further analysis. This study reports the use of various indirect (microscopic agglutination test, MAT) and direct (microbiological culture, real-time PCR) laboratory techniques, followed by typing protocols (Multi-locus Sequence Typing (MLST), Multiple Loci Variable number tandem repeat Analysis (MLVA), serotyping) that allowed for the identification of the Leptospira serovar Australis in a symptomatic and previously vaccinated dog (vaccine containing heterologous strains). This study reports long-term clinical follow-up (0–640 days) and describes the possible role of the infection in the development of chronic renal failure. This study aims to highlight how a combination of different techniques can be useful to better characterise the environmental circulation of zoonotic agents. Therefore, the identification and isolation of circulating L. strains would facilitate the updating of epidemiological data, enhance the knowledge of pathogenicity and long-term clinical effects, and provide a valuable resource for improving the efficacy of a specific serovar vaccination. Full article
19 pages, 687 KiB  
Review
Exploring Trimethylaminuria: Genetics and Molecular Mechanisms, Epidemiology, and Emerging Therapeutic Strategies
by Antonina Sidoti, Rosalia D’Angelo, Andrea Castagnetti, Elisa Viciani, Concetta Scimone, Simona Alibrandi and Giuseppe Giannini
Biology 2024, 13(12), 961; https://doi.org/10.3390/biology13120961 - 22 Nov 2024
Viewed by 271
Abstract
Trimethylaminuria (TMAU) is a rare metabolic syndrome caused by the accumulation of trimethylamine in the body, causing odor emissions similar to rotten fish in affected patients. This condition is determined by both genetic and environmental factors, especially gut dysbiosis. The multifactorial nature of [...] Read more.
Trimethylaminuria (TMAU) is a rare metabolic syndrome caused by the accumulation of trimethylamine in the body, causing odor emissions similar to rotten fish in affected patients. This condition is determined by both genetic and environmental factors, especially gut dysbiosis. The multifactorial nature of this syndrome makes for a complex and multi-level diagnosis. To date, many aspects of this disease are still unclear. Recent research revealed the FMO3 haplotypes’ role on the enzyme’s catalytic activity. This could explain why patients showing only combined polymorphisms or heterozygous causative variants also manifest the TMAU phenotype. In addition, another research hypothesized that the behavioral disturbances showed by patients may be linked to gut microbiota alterations. Our review considers current knowledge about TMAU, clarifying its molecular aspects, the therapeutic approaches used to limit this condition, and the new therapies that are under study. Full article
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<p>Catalytic cycle of FMO enzymes. This figure represents TMA oxidation by FMO enzymes, supported by NAD and FAD coenzymes.</p>
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9 pages, 1402 KiB  
Article
Changes in the Epidemiology of Thoracic and Cardiovascular Diseases in Korea During the COVID-19 Pandemic: A Nationwide Analysis
by Jung Ho Park, Hong Kyu Lee, Hyoung Soo Kim, Kunil Kim, Yong Joon Ra and Jeong Wook Kang
J. Clin. Med. 2024, 13(23), 7059; https://doi.org/10.3390/jcm13237059 - 22 Nov 2024
Viewed by 275
Abstract
Background/Objectives: There is limited evidence regarding the impact of the coronavirus disease 2019 (COVID-19) pandemic on the epidemiology of thoracic and cardiovascular diseases. This study aimed to investigate changes in medical visits for these conditions during the COVID-19 pandemic. Methods: We analyzed the [...] Read more.
Background/Objectives: There is limited evidence regarding the impact of the coronavirus disease 2019 (COVID-19) pandemic on the epidemiology of thoracic and cardiovascular diseases. This study aimed to investigate changes in medical visits for these conditions during the COVID-19 pandemic. Methods: We analyzed the entire Korean population (~50 million) for monthly medical visits for 15 common thoracic and cardiovascular conditions, including pneumothorax, large bullae, lung cancer, esophageal cancer, thymoma, empyema, mediastinitis, esophageal rupture, multiple rib fractures, hemothorax, rib mass, varicose vein, pectus excavatum, aortic dissection, aortic aneurysm, and valve disease from January 2019 to December 2021. Data were obtained from the Korean National Health Insurance Service using the International Classification of Disease (ICD)-10 codes. Variations in the mean monthly medical visits of 15 frequent thoracic and cardiovascular diseases before and during the COVID-19 pandemic were compared using the Mann–Whitney U test, while changes in variance were assessed using Levene’s test. Results: The mean monthly number of medical visits for pneumothorax and large bullae significantly decreased during the COVID-19 pandemic compared to before the pandemic (by 10.1% and 12.8%; both p < 0.001). On the contrary, there was a significant increase in the mean monthly counts of medical visits for lung cancer, esophageal cancer, thymoma, and valve disease diagnosis (by 6.6%, 5.3%, 8.8%, and 5.0%, respectively; all p < 0.05). Conclusions: In Korea, the number of diagnosed cases of pneumothorax significantly decreased during the COVID-19 pandemic compared to before COVID-19, while diagnoses of thoracic cancers and valve disease increased. Full article
(This article belongs to the Special Issue Clinical Consequences of COVID-19: 2nd Edition)
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<p>Monthly incidence of thoracic diseases during 2019, 2020, and 2021.</p>
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14 pages, 1424 KiB  
Article
Infections in Kidney Transplant Recipients: Perspectives in French Caribbean
by Laurène Tardieu, Gary Doppelt, Muriel Nicolas, Violaine Emal, Pascal Blanchet, Samuel Markowicz, Valérie Galantine, Pierre-Marie Roger, Joëlle Claudéon and Loïc Epelboin
Microorganisms 2024, 12(12), 2390; https://doi.org/10.3390/microorganisms12122390 - 22 Nov 2024
Viewed by 262
Abstract
Few studies have focused on the infectious complications in kidney transplant recipients in tropical regions, particularly in the Caribbean. The primary objective of this study was to determine the incidence of bacterial, fungal, and parasitic infections in kidney transplant recipients in the French [...] Read more.
Few studies have focused on the infectious complications in kidney transplant recipients in tropical regions, particularly in the Caribbean. The primary objective of this study was to determine the incidence of bacterial, fungal, and parasitic infections in kidney transplant recipients in the French Caribbean and French Guiana. We included all patients who received a kidney transplant at the University Hospital of Guadeloupe between January 2014 and October 2016, with post-transplant follow-up in the French Caribbean. A total of 91 patients were included, of whom 57 developed an infectious event during follow-up. When infections were documented (94/111), bacterial infections were the most frequent (79/94), followed by fungal (11/94) and parasitic infections (4/94). Four cases of nocardiosis were identified (4/79). Phaeohyphomycosis was the most common fungal infection (7/11). In a multivariate analysis, the female gender and diabetes mellitus at the time of transplant were significantly associated with a higher risk of infection. This study is the first to describe the epidemiology of infections in kidney transplant recipients in the Caribbean and to analyze the potential risk factors. We reported a similar profile of bacterial infections to that which were observed in the European and American studies. However, we found a higher incidence of tropical infections, such as nocardiosis and phaeohyphomycosis, which highlights the need for heightened awareness among healthcare teams to ensure earlier and more appropriate treatment. Further studies focusing on these rare tropical infections are necessary to better understand their risk factors Full article
(This article belongs to the Special Issue Infections in Solid Organ Transplant Recipients)
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<p>Flowchart.</p>
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<p>Alluvial Plot Distribution of Infection Types and Pathogens Over Time in Kidney Transplant Recipients.</p>
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<p>Microbiological Distribution of Infections in Kidney Transplant Recipients.</p>
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