Comparison of the PIPAS severity score tool and the QSOFA criteria for predicting in-hospital mortality of peritonitis in a tertiary hospital in Uganda: a prospective cohort study.

BACKGROUND: The majority of the prognostic scoring tools for peritonitis are impractical in low resource settings because they are complex while others are quite costly. The quick Sepsis-related Organ Failure Assessment (qSOFA) score and the Physiologic Indicators for Prognosis in Abdominal Sepsis (PIPAS) severity score are two strictly bedside prognostic tools but their predictive ability for mortality of peritonitis is yet to be compared. We compared the predictive ability of the qSOFA criteria and the PIPAS severity score for in-hospital mortality of peritonitis. METHOD: This was a prospective cohort study on consecutive peritonitis cases managed surgically in a tertiary hospital in Uganda between October 2020 to June 2021. PIPAS severity score and qSOFA score were assessed preoperatively for each case and all cases were then followed up intra- and postoperatively until discharge from the hospital, or up to 30 days if the in-hospital stay was prolonged; the outcome of interest was in-hospital mortality. We used Receiver Operating Characteristic curve analysis to assess and compare the predictive abilities of these two tools for peritonitis in-hospital mortality. All tests were 2 sided (p < 0.05) with 95% confidence intervals. RESULTS: We evaluated 136 peritonitis cases. Their mean age was 34.4 years (standard deviation = 14.5). The male to female ratio was 3:1. The overall in-hospital mortality rate for peritonitis was 12.5%. The PIPAS severity score had a significantly better discriminative ability (AUC = 0.893, 95% CI 0.801-0.986) than the qSOFA score (AUC = 0.770, 95% CI 0.620-0.920) for peritonitis mortality (p = 0.0443). The best PIPAS severity cut-off score (a score of > = 2) had sensitivity and specificity of 76.5%, and 93.3% respectively, while the corresponding values for the qSOFA criteria (score > = 2), were 58.8% and 98.3% respectively. CONCLUSIONS: The in-hospital mortality in this cohort of peritonitis cases was high. The PIPAS severity score tool has a superior predictive ability and higher sensitivity for peritonitis in-hospital mortality than the qSOFA score tool although the latter tool is more specific. We recommend the use of the PIPAS severity score as the initial prognostic tool for peritonitis cases in the emergency department.

Determinants of Knowledge, Attitudes, and Practices of Frontline Health Workers During the First Wave of COVID-19 in Africa: A Multicenter Online Cross-Sectional Study.

Background: During its first wave of COVID-19 infection in sub-Saharan Africa, there was insufficient understanding of the pandemic among frontline health workers. This study was carried out to determine the knowledge, attitude, and practices (KAP) of frontline health workers (HWs) towards COVID-19 in Africa and their related factors. Methods: This was a multicenter online cross-sectional study conducted between April 2020 and July 2020 using a Google survey link among frontline HWs involved in the COVID-19 response in 26 African countries. Bivariate and multivariate logistic regression were used to analyse the determinants of KAP. Data were analyzed using STATA ver 16; all tests were two-sided with 95% confidence interval. Results: Five hundred and seventeen participated in this study from 26 African countries; 289 (55.9%) were male and 228 (44.1%) female. Most of HWs, 379 (73.3%) showed poor knowledge about COVID-19 infection and preventive measures. In contrast, majority of them showed good attitude (89%) and practice (90.3%) towards prevention of COVID-19 infections. Knowledge varied among countries; Uganda had the greatest number of HWs with good knowledge (OR: 28.09, p<0.0001) followed by Ghana (OR=10.92, p=0.001) and DRC (OR: 4.59, p=0.015). The cadre of HWs also influenced knowledge; doctors were the most knowledgeable as compared to other cadres (OR: 3.4, p= 0.005). Attitude and practice were both influenced by HWs country of workplace and their cadre (p<0.05). Conclusion: Majority of the frontline HWs in the African region had an overall good attitude and practice towards COVID-19 infection and practice measures despite relatively poor knowledge. The KAP is influenced by HWs country of workplace, their cadre. The knowledge of HWs in Africa should be increased to concourt with their attitude and practice to reduce the burden of intra-hospital transmission of the COVID-19.