Incidence, Outcome and Risk Factors For Sepsis - A Two Year Retrospective Study at Surgical ICU of A Tertiary Hospital in Pakistan.
Incidence, Outcome and Risk Factors For Sepsis - A Two Year Retrospective Study at Surgical ICU of A Tertiary Hospital in Pakistan.
Incidence, Outcome and Risk Factors For Sepsis - A Two Year Retrospective Study at Surgical ICU of A Tertiary Hospital in Pakistan.
January 2016
Madiha Hashmi
Aga Khan University, madiha.hashmi@aku.edu
Saima Rashid
Aga Khan University
Recommended Citation
Asghar, A., Hashmi, M., Rashid, S., Khan, F. (2016). Incidence, outcome and risk factors for sepsis- a two year retrospective study at
surgical intensive care unit of a teaching hospital in Pakistan. Journal of Ayub Medical College, 28(1), 79-83.
Available at: http://ecommons.aku.edu/pakistan_fhs_mc_anaesth/110
J Ayub Med Coll Abbottabad 2016;28(1)
ORIGINAL ARTICLE
INCIDENCE, OUTCOME AND RISK FACTORS FOR SEPSIS - A TWO
YEAR RETROSPECTIVE STUDY AT SURGICAL INTENSIVE CARE
UNIT OF A TEACHING HOSPITAL IN PAKISTAN
Ali Asghar, Madiha Hashmi, Saima Rashid, Fazal Hameed Khan
Department of Anaesthesiology, Aga Khan University, Karachi-Pakistan
Background: Sepsis is amongst the leading causes of admission to the intensive care units and is
associated with a high mortality. However, data from developing countries is scares. Aim of conducting
this study was to determine the incidence, outcome and risk factors for sepsis on admission to surgical
intensive care unit (SICU) of a teaching hospital in Pakistan. Methods: Two year retrospective
observational study included all consecutive adult admissions to the surgical intensive care unit (SICU)
of a University Hospital, from January 2012 to December 2013. Results: Two hundred and twenty-
nine patients met the inclusion criteria. Average age of the patients was 46.35±18.23 years (16–85),
mean Acute Physiology and Chronic Health Evaluation II (APACHE II) score was 15.92±8.13 and
males were 67.6%. Median length of ICU stay was 4 [IQR 5]. 43% patients fulfilled the criteria of
sepsis at the time of admission to the SICU and incidence of severe sepsis/septic shock was 35%.
Abdominal sepsis was the most frequent source of infection (57.5%). The overall intensive care unit
mortality was 32.31% but the mortality of sepsis-group was 51.15% as compared to 17.7% of the non-
sepsis group. Stepwise logistic regression model showed that increasing age, female gender, non-
operative admission, admission under general surgery and co-morbidities like ischaemic heart disease
and chronic kidney disease were significant predictors of sepsis. Conclusion: The incidence of sepsis
and severe sepsis/septic shock, on admission to SICU is high and mortality of the sepsis group is nearly
three times the mortality of the non-sepsis group.
Keywords: Sepsis, severe sepsis, septic shock, intensive care units, incidence
J Ayub Med Coll Abbottabad 2016;28(1):79–83
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alcohol abuse), type of admission (elective surgery, the operative group 85% patients underwent emergency
emergency surgery or non-operative), APACHE II surgical procedures and 15% had elective surgeries.
score, length of ICU stay and outcome (discharge or Admissions under various departments are as shown in
death in ICU and hospital) were documented on the the figure-1. The overall intensive care unit mortality
study Performa. Cases were assigned to the sepsis group was 32.31% and the hospital mortality was 34%. The
if they fulfilled the American College of Chest median length of ICU stay was 4 [IQR 5] 2–45 days
Physicians/Society of Critical Care Medicine Consensus (min-max).
Conference criteria of defining sepsis10, i.e., presence A total of 99 (43%) patients fulfilled the
of two or more systemic inflammatory response criteria of sepsis at the time of admission and 81% of
syndrome (SIRS) criteria along with suspected or these patients were in severe sepsis or septic shock.
documented source of infection, either in the surgeon’s Presence of SIRS criteria in both septic and non-septic
notes, nursing notes, positive culture report or patients is shown in table-1.
radiological evidence. The most likely source of Abdominal sepsis was the most frequent
infection was classified as lungs, urinary tract, abdomen, source of infection (57.5%) in this cohort of SICU
musculoskeletal, central nervous system, or peripartum. patients, rest are shown in figure-2. The characteristics
In case of more than one likely source of infection, the of patients with and without sepsis are compared in
source of most severe infection at the time of table-2.
presentation was considered. The sepsis and non-sepsis The incidence of sepsis was highest in the non-
groups were compared for mean age, gender, Acute operated group (52%), followed by emergency surgery
Physiology and Chronic Health Evaluation II group (43%) and elective surgery group (16%). The
(APACHE II) score, type of admission, co morbidities, incidence of sepsis was highest in the patients admitted
admitting departments, ICU mortality and length of ICU under the care of departments of orthopaedics (9/10) and
stay. In the sepsis group compliance with the SSC- urology (7/10) followed by general surgery (63/97) and
recommended-interventions carried out after admission it was the lowest in the neurosurgical patients (11/84).
to SICU were recorded. Key interventions recorded The sepsis group was associated with a higher incidence
included serum lactate, blood cultures, broad spectrum of comorbid as shown in figure-3.
antibiotic cover, central venous access, ScvO2, fluid In univariate analysis, age, APACHE II score,
challenge, and vasopressor use. type of admission, DM, IHD and CKD and general
All statistical analyses were performed with surgery were significant independent predictor of sepsis
the software SPSS-19. Statistical analysis results were while in multivariate analysis, stepwise logistic
expressed as mean±standard deviations for continuous regression model showed that increasing age, female
variables and numbers and percentages for categorical gender, non-operative admission, admission under
variables. Independent sample t-test and Mann-Whitney general surgery and co-morbidities like IHD and CKD
U test were used as per condition of normality checked were significant predictor of sepsis in the final model as
by Kolmogorov-smirnov and histogram for quantitative shown in table-3.
observations and chi-square test was applied to compare Except for measuring central venous oxygen
categorical observation between sepsis and non-sepsis saturation (34/99), compliance with most of the
groups. Unadjusted odd ratio were computed by logistic interventions recommended by the SSC guidelines in the
regression and for adjusted Odd ratio step wise multiple patients diagnosed with sepsis on admission or during the
logistic regression was applied to build model to predict SICU stay was more than 90%, i.e., serum lactate (93%),
sepsis. p≤0.05 was considered as significant blood cultures (93%), antibiotics (100%), fluid boluses
(96%), CVP (96%), and vasopressors (78%).
RESULTS
Five hundred and forty seven surgical admissions in two
years, from January, 2011 till December, 2012 were
evaluated. Three hundred and eighteen (58%) patients
were excluded from the study due to missing files or
incomplete data recorded or not meeting the inclusion
criteria. The study group, therefore, consisted of 229
patients. Patients admitted to the SICU were
predominantly male (67.6%), average age was
46.35±18.23 years (16–85) and the mean APACHE II
score was 15.92. One hundred and fifty-six patients
were received from the operating rooms (68%) and
seventy-three non-operative (32%) patients were Figure-1: Primary departments admitting patients
received from emergency room and surgical wards. In to SICU
80 http://www.jamc.ayubmed.edu.pk
J Ayub Med Coll Abbottabad 2016;28(1)
Table-3: Factors associated with sepsis, univariate and multivariate stepwise logistic regression analysis model
Predictors Univariate Multivariate
OR 95%CI p-Value Crud OR 95%CI p-Value
Age (Per years increase)) 1.037 1.02–1.05 <0.001 1.04 1.02–1.06 <0.001
APACHE Score 1.06 1.03–1.10 <0.001
Male 0.66 0.38–1.16 0.15 0.35 0.16–0.79 0.012
Female 1 1.00
Type of admission
Non-Operative 5.42 1.68–17.44 <0.01 38.42 5.35–275.63 <0.001
OR-E 3.8 1.23–11.73 0.02 13.06 2.07–82.12 0.006
OR-Elect 1 1.00
Co-Morbidities
DM 4.5 2.05–9.83 <0.001
HTN 0.41 0.70–2.39 0.41 0.198 0.065–0.602 0.004
IHD 4.62 1.96–10.84 <0.001 3.7 1.00–13.97 0.05
CKD 7.19 1.53–33.61 0.012 56.16 6.89–457.2 <0.001
Admitting Departments
Neuro Surgery 0.098 0.048–0.20 <0.001 0.125 0.041–0.384 <0.001
General Surgery 4.94 2.81–8.71 <0.001 3.54 1.40–8.97 0.008
Obs & Gyn 0.98 0.33–0.29 0.97
Ortho 6.86 0.78–59.70 0.081
Multivariate, forward step wise logistic regression applied to predict sepsis
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