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  1. Home
  2. Division of Clinical Medicine
  3. Dr. Ibrahim Rasheed Olayinka
  4. Diphtheria Outbreak During Covid-19 Pandemic in Katsina, North-Western Nigeria
 
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Diphtheria Outbreak During Covid-19 Pandemic in Katsina, North-Western Nigeria

Journal
Nigerian Journal of Basic and Clinical Sciences
ISSN
0331-8540
Date Issued
2022-01
Author(s)
Olayinka R. Ibrahim
Ibrahim M. Lawal
Bashir Mohammed
Suleiman Bello Abdullahi
Surajudeen O. Bello
Amudalat Issa
Abdallah Sanda
Bello M. Suleiman
Mu'uta Ibrahim
DOI
10.4103/njbcs.njbcs_35_21
Abstract
<jats:sec>
<jats:title>Context:</jats:title>
<jats:p>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.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Aims:</jats:title>
<jats:p>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.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Settings and Design:</jats:title>
<jats:p>This was a retrospective review of cases of diphtheria managed between July and December 2020.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Methods and Material:</jats:title>
<jats:p>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.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Statistical Analysis Used:</jats:title>
<jats:p>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 <jats:italic toggle="yes">P</jats:italic> < 0.05.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Results:</jats:title>
<jats:p>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 (<jats:italic toggle="yes">P</jats:italic> = 0.022). The median duration of hospitalization was shorter in those that died (<jats:italic toggle="yes">P</jats:italic> = 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).</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Conclusions:</jats:title>
<jats:p>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.</jats:p>
</jats:sec>
Subjects

Children

diphtheria

predictors of deaths

Epidemiology

Covid-19 Pandemic

Nigeria

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