RESUMO
Background: Surgical site infection (SSI) is accountable for a third of postoperative deaths and for 8% of all deaths due to hospital-acquired infections. There is a wide disparity in the incidence and burden of SSI in low and high-income countries. Objectives: To assess the rates and risk factors of SSI in a tertiary hospital in a resource-limited sub-Saharan African country and generate institutional baseline data for future monitoring and interventions. Materials and Methods: This was a descriptive prospective cohort study done at John F Kennedy Memorial Hospital, a tertiary hospital in Monrovia, Liberia, from October 18 to December 18, 2021. Consecutive participants, including children and adults that had surgical operations within the study period, were recruited. Criteria for diagnosis of SSI were as defined by the Centre for Disease Control (1999). Data were collected on the demography of the participants, type of surgery done, presence of SSI, comorbidities, and risk factors for SSI. Results: Of the 111 patients analyzed, thirty-two patients had SSI giving a hospital incident rate of 28.8%. This comprises superficial SSI (22/31; 71.0%), deep SSI (6/31; 19.4%), and organ/space SSI (3/31; 9.7%). Twelve out of 42 females (28.6%) and 20 of 69 males (29.0%) had SSI. There is no statistically significant difference in gender SSI rate (P = 0.963). SSI occurred more in dirty wounds (13/23; 56.5%), compared to contaminated wounds (6/11, 54.6%), clean contaminated (7/22; 31.8%), and clean wounds (6/55, 10.9%). There is a statistical difference in the rate of SSI among the wound classes (P = 0.001). The infection rate is also more in emergency surgeries (18/39, 46.2%) compared to elective surgeries (14/72, 19.4%), and it is significant (P = 0.003). Statistically, there was no significant difference between the two skin preparation agents used (P = 0.351). The abdomen was the most common site of surgical incision and had the highest rate of SSI (24/79; 30.4%) (P = 0.045). There was no statistical difference in SSI rate between those whose hairs were removed in the ward or in the theatre (P = 0.114); length of incision (P = 0.297), or duration of surgery (P = 0.715) (see table for classification and rates). Conclusion: The SSI rate in our study is high at 28.8%. Abdominal surgeries, emergencies, and wound class accounted for the majority of the SSIs. The baseline data will be useful in developing infection control strategies.
RESUMO
Background: Surgical Apgar score (SAS) is one of the risk assessment tools used in predicting postoperative complications. It is a simple and inexpensive tool composed of three intra-operative variables; lowest heart rate, lowest mean arterial blood pressure, and estimated blood loss, which are scored with a total of 10 points, based on which patients are risk stratified for developing post-operative complications. SAS was found to have good predictive accuracy for post-operative morbidity and mortality. The main objective of this study was to determine the efficacy of SAS in predicting major complications following laparotomy for gastrointestinal conditions. Materials and Methods: The study was a prospective observational study, conducted in Aminu Kano Teaching Hospital, Kano, Nigeria. Eighty-three adult patients, who required laparotomy for gastrointestinal conditions were recruited. Data was collected using proforma, and patients were followed up for 30 days. The intra-operative parameters for SAS were scored, and according to the scores, patients were risk stratified for developing post-operative complications. The data were analyzed; sensitivity, specificity, and accuracy of the SAS were determined. Results: A total of 83 patients were recruited in the study. About half (44.6%) of the patients developed major post-operative complications and a mortality rate of 7.2%. Most of the patients that died had low SAS. The sensitivity, specificity, accuracy, and AUC of SAS found were: 83.8%. 47.8%, 63.9% and 0.74 (95% CI; 0.63-0.84, P < 0.001) respectively. Conclusion: This study revealed that SAS is efficacious in predicting major complications following laparotomy for gastrointestinal conditions.