METHODS: PubMed, Scopus and Google Scholar databases were searched to find point-prevalence studies of HAIs in Africa. Studies conducted in Humans that reported the prevalence of HAIs among hospitalized patients and published in English language from January 2010 to March 2022 were selected. Longitudinal studies of HAIs and unpublished studies were excluded. The reference list of the selected studies was checked to find additional studies. A meta-analysis was conducted using RevMan 5.4 and the pooled prevalence of HAIs was determined using a random effect model.
RESULTS: Of the 6094 articles identified from the databases, fifteen eligible articles were selected. The studies were conducted in the North, South, East and West African regions with Tunisia (n = 4) and South Africa (n = 2) having the highest number of studies. Most of the studies (n = 12, 80.0%) had good quality. The pooled prevalence of HAIs was 12.76% (95% confidence interval [CI] 10.30-15.23) with a high degree of heterogeneity (I2 = 90.0%). The prevalence of HAIs varied between wards with the highest rate found in the ICU (25.2%-100%), followed by neonatal ICU/ward (7.0%-53.6%) and paediatric medical ward (2.7%-33.0%). Surgical site infection was the most common HAIs and accounted for 41.6% of all HAIs (95% CI 23.55-59.80), followed by bloodstream infection (17.07%, 95% CI 11.80-22.33) and respiratory tract infections/pneumonia (17.04%, 95% CI 13.21-20.87). Recent hospitalization (adjusted odds ratio [AOR]: 4.17, 95% CI 1.85-9.41), presence of peripheral vascular catheter (AOR: 2.87, 95% CI 1.54-5.36) and having diabetes mellitus (AOR: 2.46, 95% CI 1.45-4.17) were the strongest predictors of HAIs in Africa. Only 37.9% of HAIs had documented positive microbiological culture result with gram negative bacteria including Klebsiella pneumoniae, Escherichia coli, Pseudomonas aeruginosa, Acinetobacter baumannii and Citrobacter been the most common microorganisms and accounted for 40%-100% of the pathogens.
CONCLUSIONS: The pooled point-prevalence of HAIs in Africa is more than two times higher than the rate reported in developed countries. The prevalence varied between the countries and was highest in the ICU and neonatal ICU/ward. Surgical site infection and bloodstream infection were the most common HAIs reported in African studies. Recent hospitalization, presence of peripheral vascular catheter and having diabetes mellitus were the strongest predictors of HAIs in African studies. Most of the HAIs are preventable with appropriate infection control measures and antimicrobial stewardship. Additional studies are needed especially in the Central African region. Future studies should be designed using standardized protocol and standardized definition to reduce heterogeneity among the studies.
SETTING: Five medical and cardiology wards of a tertiary care center in Malaysia.
SUBJECTS: Five hundred cardiac inpatients, who received ACEIs concomitantly with other interacting drugs.
METHOD: This was a prospective cohort study of 500 patients with cardiovascular diseases admitted to Penang Hospital between January to August 2006, who received ACEIs concomitantly with other interacting drugs. ACEI-drug interactions of clinical significance were identified using available drug information resources. Drug Interaction Probability Scale (DIPS) was used to assess the causality of association between ACEI-drug interactions and the adverse outcome (hyperkalemia).
MAIN OUTCOME MEASURE: Hyperkalemia as an adverse clinical outcome of the interaction was identified from laboratory investigations.
RESULTS: Of the 489 patients included in the analysis, 48 (9.8%) had hyperkalemia thought to be associated with ACEI-drug interactions. Univariate analysis using binary logistic regression revealed that advanced age (60 years or more), and taking more than 15 medications were independent risk factors significantly associated with hyperkalemia. However, current and previous smoking history appeared to be a protective factor. Risk factors identified as predictors of hyperkalemia secondary to ACEI-drug interactions by multi-logistic regression were: advanced age (adjusted OR 2.3, CI 1.07-5.01); renal disease (adjusted OR 4.7, CI 2.37-9.39); hepatic disease (adjusted OR 5.2, CI 1.08-25.03); taking 15-20 medications (adjusted OR 4.4, CI 2.08-9.19); and taking 21-26 medications (adjusted OR 9.0, CI 1.64-49.74).
CONCLUSION: Cardiac patients receiving ACEIs concomitantly with potentially interacting drugs are at high risk of experiencing hyperkalemia. Old age, renal disease, hepatic disease, and receiving large number of medications are factors that may significantly increase their vulnerability towards this adverse outcome; thus, frequent monitoring is advocated.
METHODS: A cross-sectional electronic survey was conducted at universities in Indonesia, Malaysia, and Pakistan. A 59-item survey was administered between October 2017 and December 2017.
FINDINGS: The survey was completed by 211 students (response rate 77.8%). The mean knowledge score for antibiotic resistance, appropriate antibiotic therapy, and antibiotic stewardship was 5.6 ± 1.5, 4.7 ± 1.8 (maximum scores 10.0) and 3.1 ± 1.4 (maximum score 5.0), respectively. Significant variations were noted among the schools. There was poor awareness about the consequences of antibiotic resistance and cases with no need for an antibiotic. The knowledge of antibiotic resistance was higher among male respondents (6.1 vs. 5.4) and those who had attended antibiotic resistance (5.7 vs. 5.2) and antibiotic therapy (5.8 vs. 4.9) courses (p