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Predictors of Lassa fever diagnosis in suspected cases reporting to health facilities in Nigeria

Lassa fever (LF) remains endemic in Nigeria with the country reporting the highest incidence and mortality globally. Recent national data suggests increasing incidence and expanding geographic spread. Predictors of LF case positivity in Nigeria have been sparsely studied. We thus sought to determine...

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Autores principales: Ochu, Chinwe Lucia, Ntoimo, Lorretta, Onoh, Ikenna, Okonofua, Friday, Meremikwu, Martin, Mba, Sandra, Iniobong, Akanimo, Nwafor, Obinna, Dalhat, Mahmood, Ohonsi, Cornelius, Arinze, Chinedu, Esu, Ekpereonne, Igumbor, Ehimario Uche, Dan-Nwafor, Chioma, Ilori, Elsie, Adetifa, Ifedayo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121657/
https://www.ncbi.nlm.nih.gov/pubmed/37085507
http://dx.doi.org/10.1038/s41598-023-33187-y
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author Ochu, Chinwe Lucia
Ntoimo, Lorretta
Onoh, Ikenna
Okonofua, Friday
Meremikwu, Martin
Mba, Sandra
Iniobong, Akanimo
Nwafor, Obinna
Dalhat, Mahmood
Ohonsi, Cornelius
Arinze, Chinedu
Esu, Ekpereonne
Igumbor, Ehimario Uche
Dan-Nwafor, Chioma
Ilori, Elsie
Adetifa, Ifedayo
author_facet Ochu, Chinwe Lucia
Ntoimo, Lorretta
Onoh, Ikenna
Okonofua, Friday
Meremikwu, Martin
Mba, Sandra
Iniobong, Akanimo
Nwafor, Obinna
Dalhat, Mahmood
Ohonsi, Cornelius
Arinze, Chinedu
Esu, Ekpereonne
Igumbor, Ehimario Uche
Dan-Nwafor, Chioma
Ilori, Elsie
Adetifa, Ifedayo
author_sort Ochu, Chinwe Lucia
collection PubMed
description Lassa fever (LF) remains endemic in Nigeria with the country reporting the highest incidence and mortality globally. Recent national data suggests increasing incidence and expanding geographic spread. Predictors of LF case positivity in Nigeria have been sparsely studied. We thus sought to determine the sociodemographic and clinical determinants of LF positivity amongst suspected cases presenting to health facilities from 2018 to 2021. A secondary analysis of the national LF surveillance data between January 2018 and December 2021. Socio-demographic and clinical data of 20,027 suspected LF cases were analysed using frequencies and Chi-square statistics with significant p-value set at p < 0.05. The outcome variable was LF case status (positive or negative). Predictors of LF case positivity were assessed using multiple logistic regression models with 95% confidence intervals (CI). Case positivity rate (CPR) for the four years was 15.8% with higher odds of positivity among age group 40–49 years (aOR = 1.40; 95% CI 1.21–1.62), males (aOR = 1.11; 95% CI 1.03–1.20), those with formal education (aOR = 1.33; 95% CI 1.13–1.56), artisans (aOR = 1.70; 95% CI 1.28–2.27), religious leaders (aOR = 1.62; 95% CI 1.04–2.52), farmers (aOR = 1.48; 95% CI 1.21–1.81), and symptomatic individuals (aOR = 2.36; 95% CI 2.09–2.68). Being a health worker (aOR = 0.69; 95% CI 0.53–0.91), a teacher (aOR = 0.69; 95% CI 0.53–0.89) and cases reporting in the 3rd quarter (aOR = 0.79; 95% CI 0.69–0.92) had lower odds. In a sex-disaggregated analysis, female farmers had higher odds of positivity (aOR = 2.43; 95% CI 1.76–3.38; p < 0.001) than male farmers (aOR = 1.52; 95% CI 1.19–1.96; p < 0.01). Fever (aOR = 2.39; 95% CI 2.00–2.84) and gastrointestinal (GI) symptoms (aOR = 2.15; 95% CI 1.94–2.37) had the highest odds among symptoms. Combination of fever and GI symptoms (aOR = 2.15; 95% CI 1.50–3.10), fever and neurological symptoms (aOR = 6.37; 95% CI 1.49–27.16), fever and musculo-skeletal symptoms (aOR = 2.95; 95% CI 1.37–6.33), fever and cardiopulmonary symptoms (aOR = 1.81; 95% CI 1.24–2.64), and cardiopulmonary and general symptoms (aOR = 1.50; 95% CI 1.19–1.89) were also predictive. Cumulative LF CPR appears high with clearly identified predictors. Targeted interventions with heightened index of suspicion for sociodemographic categories predictive of LF in suspected cases are recommended. Ethnographic and further epidemiological studies could aid better understanding of these associations.
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spelling pubmed-101216572023-04-23 Predictors of Lassa fever diagnosis in suspected cases reporting to health facilities in Nigeria Ochu, Chinwe Lucia Ntoimo, Lorretta Onoh, Ikenna Okonofua, Friday Meremikwu, Martin Mba, Sandra Iniobong, Akanimo Nwafor, Obinna Dalhat, Mahmood Ohonsi, Cornelius Arinze, Chinedu Esu, Ekpereonne Igumbor, Ehimario Uche Dan-Nwafor, Chioma Ilori, Elsie Adetifa, Ifedayo Sci Rep Article Lassa fever (LF) remains endemic in Nigeria with the country reporting the highest incidence and mortality globally. Recent national data suggests increasing incidence and expanding geographic spread. Predictors of LF case positivity in Nigeria have been sparsely studied. We thus sought to determine the sociodemographic and clinical determinants of LF positivity amongst suspected cases presenting to health facilities from 2018 to 2021. A secondary analysis of the national LF surveillance data between January 2018 and December 2021. Socio-demographic and clinical data of 20,027 suspected LF cases were analysed using frequencies and Chi-square statistics with significant p-value set at p < 0.05. The outcome variable was LF case status (positive or negative). Predictors of LF case positivity were assessed using multiple logistic regression models with 95% confidence intervals (CI). Case positivity rate (CPR) for the four years was 15.8% with higher odds of positivity among age group 40–49 years (aOR = 1.40; 95% CI 1.21–1.62), males (aOR = 1.11; 95% CI 1.03–1.20), those with formal education (aOR = 1.33; 95% CI 1.13–1.56), artisans (aOR = 1.70; 95% CI 1.28–2.27), religious leaders (aOR = 1.62; 95% CI 1.04–2.52), farmers (aOR = 1.48; 95% CI 1.21–1.81), and symptomatic individuals (aOR = 2.36; 95% CI 2.09–2.68). Being a health worker (aOR = 0.69; 95% CI 0.53–0.91), a teacher (aOR = 0.69; 95% CI 0.53–0.89) and cases reporting in the 3rd quarter (aOR = 0.79; 95% CI 0.69–0.92) had lower odds. In a sex-disaggregated analysis, female farmers had higher odds of positivity (aOR = 2.43; 95% CI 1.76–3.38; p < 0.001) than male farmers (aOR = 1.52; 95% CI 1.19–1.96; p < 0.01). Fever (aOR = 2.39; 95% CI 2.00–2.84) and gastrointestinal (GI) symptoms (aOR = 2.15; 95% CI 1.94–2.37) had the highest odds among symptoms. Combination of fever and GI symptoms (aOR = 2.15; 95% CI 1.50–3.10), fever and neurological symptoms (aOR = 6.37; 95% CI 1.49–27.16), fever and musculo-skeletal symptoms (aOR = 2.95; 95% CI 1.37–6.33), fever and cardiopulmonary symptoms (aOR = 1.81; 95% CI 1.24–2.64), and cardiopulmonary and general symptoms (aOR = 1.50; 95% CI 1.19–1.89) were also predictive. Cumulative LF CPR appears high with clearly identified predictors. Targeted interventions with heightened index of suspicion for sociodemographic categories predictive of LF in suspected cases are recommended. Ethnographic and further epidemiological studies could aid better understanding of these associations. Nature Publishing Group UK 2023-04-21 /pmc/articles/PMC10121657/ /pubmed/37085507 http://dx.doi.org/10.1038/s41598-023-33187-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ochu, Chinwe Lucia
Ntoimo, Lorretta
Onoh, Ikenna
Okonofua, Friday
Meremikwu, Martin
Mba, Sandra
Iniobong, Akanimo
Nwafor, Obinna
Dalhat, Mahmood
Ohonsi, Cornelius
Arinze, Chinedu
Esu, Ekpereonne
Igumbor, Ehimario Uche
Dan-Nwafor, Chioma
Ilori, Elsie
Adetifa, Ifedayo
Predictors of Lassa fever diagnosis in suspected cases reporting to health facilities in Nigeria
title Predictors of Lassa fever diagnosis in suspected cases reporting to health facilities in Nigeria
title_full Predictors of Lassa fever diagnosis in suspected cases reporting to health facilities in Nigeria
title_fullStr Predictors of Lassa fever diagnosis in suspected cases reporting to health facilities in Nigeria
title_full_unstemmed Predictors of Lassa fever diagnosis in suspected cases reporting to health facilities in Nigeria
title_short Predictors of Lassa fever diagnosis in suspected cases reporting to health facilities in Nigeria
title_sort predictors of lassa fever diagnosis in suspected cases reporting to health facilities in nigeria
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121657/
https://www.ncbi.nlm.nih.gov/pubmed/37085507
http://dx.doi.org/10.1038/s41598-023-33187-y
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