RESUMO
Background: Previous studies have found an association between various predictors and perforated appendicitis. However, there is limited evidence of studies determining the severity of acute appendicitis (AA) in resource-limited settings. Thus, this study aimed to identify predictors and outcomes of perforated appendicitis (PA) in sub-Saharan countries. Methods: This is a retrospective cohort study of 298 adult patients who underwent surgical intervention for acute appendicitis. Demographic characteristics, clinical parameters, intraoperative findings, length of hospital stay, and postoperative complications were collected. We computed multivariate logistic regression to identify predictors of PA. P-value <0.05 was considered statistically significant. Results: Of 298 patients, PA was 142(47.65%). The identified risk factors for PA are referred patients (AOR = 3.932; 95% CI (2.201-7.027), fever >38 °C (AOR = 4.569; 95% CI (2.249-9.282), and duration of symptoms >2 days (AOR = 2.704; 95% CI (1.400-5.222). Perforation was associated with an increased rate of postoperative complications (45.07vs. 6.41%; P < 0.001) and a longer length of hospital stay (3 vs. 5 days; P < 0.001). Conclusions: The incidences of PA in our study are consistent with other reports in developing countries. Referred patients, longer duration of symptoms >2 days, and presence of fever >38 °C were the best predictors of PA. The overall total postoperative complications and the length of hospital stays were higher in PA. Based on our findings, we recommend that the identified predictors should be considered during the preoperative diagnosis and subsequent management.
RESUMO
Background: Dyslipidemia is a common public health problem in Africa. It has emerged as an important cardiovascular risk factor. It has been steadily increasing due to economic growth, urbanization, and unhealthy dietary pattern. Therefore, it is essential to identify determinants of dyslipidemia to prevent the condition and reduce its long-term sequel. Methods: Combinations of search terms with Boolean operators were used to retrieve studies from PubMed, EMBASE, Cochrane Database, Cinahl, Scopus, Mednar, and Google Scholar. The methodological quality of each article was evaluated based on the 2017 Joanna Briggs Institute (JBI) Critical Appraisal checklist for prevalence studies. After evaluation of each study against these criteria, studies with a minimum score of 7 or above out of 9 JBI checklists were included. We included articles presented in the English language. The Cochrane Q test was used to assess the heterogeneity across studies. The visual assessment of publication bias was done by creating a funnel plot. The possible causes of heterogeneity were explored by subgroup analyses. Egger's weighted regression test was used to assess the presence of publication bias. Statistical analyses were done by using the STATA software version 14. Result: A total of 24 articles involving 37,902 participants from 10 African countries were included. The overall pooled prevalence of dyslipidemia was 52.8 (95% CI 40.8-64.9). Individuals with a body mass index (BMI) >25.0 kg/m2 and waist circumference (WC) >94 cm were, respectively, 2.36 (95% CI (1.33-4.18), p < 0.001) and 2.33 (95% CI (0.75-0.29) p < 0.001) times more likely to develop dyslipidemia than those with lower values. Furthermore, patients with diabetes mellitus (DM) and hypertension (HTN) were 2.32 (95% CI (0.89-6.05) p < 0.001) and 2.05 (95% CI (1.31-3.21), p < 0.001) times more likely to present with dyslipidemia than non-diabetic patients and those without HTN. Conclusion: This study revealed that the prevalence of dyslipidemia is relatively high among study participants in African countries and the independent predictors of dyslipidemia were BMI >25.0 kg/m2, WC > 94 cm, raised blood glucose level, and raised blood pressure. Therefore, there should be a pressing public health measure to prevent, identify, and treat dyslipidemia with the special emphasis on obese, diabetic, and hypertensive patients.
