Dr. Ibrahim Rasheed Olayinka

Background Despite recurrent outbreaks of diphtheria in Nigeria, there is a lack of in-depth analysis of hospitalization outcomes. Herein, we describe the sociodemographic, clinical, and laboratory features associated with hospitalization outcomes (defined as death or discharge) during the recent diphtheria outbreak in Nigeria. Methods This prospective observational study included 246 confirmed diphtheria cases managed in a dedicated isolation ward of a health facility in northwestern Nigeria from July 1, 2023, to April 30, 2024. We analyzed clinical and laboratory features, immunization status, and socio-demographics in relation to hospitalization deaths using SPSS version 29. Results The median age (interquartile range) was 7.00 (4–10) years and 49.6% (122) were aged 5–10 years. Common clinical features were fever (95.9%), sore throat (91.9%), painful swallowing (90.7%), pseudomembrane (93.1%), and cervical-submandibular lymphadenopathy (91.5%). Most children were unvaccinated (158; 64.2%), 199 (80.9%) received diphtheria antitoxin, and both were related to outcomes. Mortality rate was 23.5% (58/246). After adjusting for confounders, predictors of hospitalization deaths were neck swelling with an adjusted odds ratio (AOR) of 9.80 (95% CI 1.68–56.47), abnormal respiratory findings (AOR, 149.99 [95% CI, 15.60–1442.02] ), hypoxemia (AOR, 37.79 [95% CI, 4.26–331.96] ), and elevated serum creatinine above 1.5 mg/dL (AOR 107.78, 95% CI, 7.94–1462.38). Conclusions Diphtheria is a significant burden in Nigeria, particularly among children. Neck swelling, hypoxemia, abnormal respiratory findings, and impaired renal function were predictive of hospitalization death. Although antitoxin and vaccination were related to outcomes, they did not predict hospitalization death.

Context: The impact of coronavirus disease 2019 (COVID-19) pandemic on vaccine-preventable diseases, including diphtheria, may hamper the previous gains made in the eradication of the disease. Aims: We report the epidemiological profile, clinical features, laboratory findings, and hospitalization outcomes amongst cases of diphtheria managed at Federal Medical Centre, Katsina, Nigeria during the first wave of COVID-19 pandemic. Settings and Design: This was a retrospective review of cases of diphtheria managed between July and December 2020. Methods and Material: We extracted the clinical (socio-demographics, clinical features, and hospitalization outcomes) and laboratory findings (full blood counts, electrolytes, urea and creatinine) from the record of the children. Statistical Analysis Used: Using SPSS, we carried out a descriptive analysis and applied binary logistic regression to determine factors associated with death. Level of statistical significance was set at P < 0.05. Results: A total of 35 cases of diphtheria were admitted and managed from 1 July to 31 December 2020. The mean age of the children was 7.6 ± 3.1 years. Males were 15 (42.9%). There were 24 deaths (case fatality of 68.6%). Clinical findings were comparable between survivors and non-survivors except the bull neck, which was more common among non-survivors (P = 0.022). The median duration of hospitalization was shorter in those that died (P = 0.001). The age, sex, immunization status, leukocytosis, and biochemical features of renal impairments were not predictive of deaths. Prescence of bull neck was predictive of death (adjusted odds ratio 2.115, 95% CI 1.270, 3.521). Conclusions: The study shows a high number of cases of diphtheria over a short period of six months with high mortality. Amongst the clinical and laboratory variables, only presence of bull neck was predictive of death.