Cargando…

Assessment of independent comorbidities and comorbidity measures in predicting healthcare facility-onset Clostridioides difficile infection in Kenya

INTRODUCTION: Clostridioides difficile is primarily associated with hospital-acquired diarrhoea. The disease burden is aggravated in patients with comorbidities due to increased likelihood of polypharmacy, extended hospital stays and compromised immunity. The study aimed to investigate comorbidity p...

Descripción completa

Detalles Bibliográficos
Autores principales: Mutai, Winnie C., Mureithi, Marianne, Anzala, Omu, Kullin, Brian, Ofwete, Robert, Kyany’ a, Cecilia, Odoyo, Erick, Musila, Lillian, Revathi, Gunturu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022263/
https://www.ncbi.nlm.nih.gov/pubmed/36962261
http://dx.doi.org/10.1371/journal.pgph.0000090
_version_ 1784908692805648384
author Mutai, Winnie C.
Mureithi, Marianne
Anzala, Omu
Kullin, Brian
Ofwete, Robert
Kyany’ a, Cecilia
Odoyo, Erick
Musila, Lillian
Revathi, Gunturu
author_facet Mutai, Winnie C.
Mureithi, Marianne
Anzala, Omu
Kullin, Brian
Ofwete, Robert
Kyany’ a, Cecilia
Odoyo, Erick
Musila, Lillian
Revathi, Gunturu
author_sort Mutai, Winnie C.
collection PubMed
description INTRODUCTION: Clostridioides difficile is primarily associated with hospital-acquired diarrhoea. The disease burden is aggravated in patients with comorbidities due to increased likelihood of polypharmacy, extended hospital stays and compromised immunity. The study aimed to investigate comorbidity predictors of healthcare facility-onset C. difficile infection (HO-CDI) in hospitalized patients. METHODOLOGY: We performed a cross sectional study of 333 patients who developed diarrhoea during hospitalization. The patients were tested for CDI. Data on demographics, admission information, medication exposure and comorbidities were collected. The comorbidities were also categorised according to Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI). Comorbidity predictors of HO-CDI were identified using multiple logistic regression analysis. RESULTS: Overall, 230/333 (69%) patients had comorbidities, with the highest proportion being in patients aged over 60 years. Among the patients diagnosed with HO-CDI, 63/71(88.7%) reported comorbidities. Pairwise comparison between HO-CDI patients and comparison group revealed significant differences in hypertension, anemia, tuberculosis, diabetes, chronic kidney disease and chronic obstructive pulmonary disease. In the multiple logistic regression model significant predictors were chronic obstructive pulmonary disease (odds ratio [OR], 9.51; 95% confidence interval [CI], 1.8–50.1), diabetes (OR, 3.56; 95% CI, 1.11–11.38), chronic kidney disease (OR, 3.88; 95% CI, 1.57–9.62), anemia (OR, 3.67; 95% CI, 1.61–8.34) and hypertension (OR, 2.47; 95% CI, 1.–6.07). Among the comorbidity scores, CCI score of 2 (OR 6.67; 95% CI, 2.07–21.48), and ECI scores of 1 (OR, 4.07; 95% CI, 1.72–9.65), 2 (OR 2.86; 95% CI, 1.03–7.89), and ≥ 3 (OR, 4.87; 95% CI, 1.40–16.92) were significantly associated with higher odds of developing HO-CDI. CONCLUSION: Chronic obstructive pulmonary disease, chronic kidney disease, anemia, diabetes, and hypertension were associated with an increased risk of developing HO-CDI. Besides, ECI proved to be a better predictor for HO-CDI. Therefore, it is imperative that hospitals should capitalize on targeted preventive approaches in patients with these underlying conditions to reduce the risk of developing HO-CDI and limit potential exposure to other patients.
format Online
Article
Text
id pubmed-10022263
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-100222632023-03-17 Assessment of independent comorbidities and comorbidity measures in predicting healthcare facility-onset Clostridioides difficile infection in Kenya Mutai, Winnie C. Mureithi, Marianne Anzala, Omu Kullin, Brian Ofwete, Robert Kyany’ a, Cecilia Odoyo, Erick Musila, Lillian Revathi, Gunturu PLOS Glob Public Health Research Article INTRODUCTION: Clostridioides difficile is primarily associated with hospital-acquired diarrhoea. The disease burden is aggravated in patients with comorbidities due to increased likelihood of polypharmacy, extended hospital stays and compromised immunity. The study aimed to investigate comorbidity predictors of healthcare facility-onset C. difficile infection (HO-CDI) in hospitalized patients. METHODOLOGY: We performed a cross sectional study of 333 patients who developed diarrhoea during hospitalization. The patients were tested for CDI. Data on demographics, admission information, medication exposure and comorbidities were collected. The comorbidities were also categorised according to Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI). Comorbidity predictors of HO-CDI were identified using multiple logistic regression analysis. RESULTS: Overall, 230/333 (69%) patients had comorbidities, with the highest proportion being in patients aged over 60 years. Among the patients diagnosed with HO-CDI, 63/71(88.7%) reported comorbidities. Pairwise comparison between HO-CDI patients and comparison group revealed significant differences in hypertension, anemia, tuberculosis, diabetes, chronic kidney disease and chronic obstructive pulmonary disease. In the multiple logistic regression model significant predictors were chronic obstructive pulmonary disease (odds ratio [OR], 9.51; 95% confidence interval [CI], 1.8–50.1), diabetes (OR, 3.56; 95% CI, 1.11–11.38), chronic kidney disease (OR, 3.88; 95% CI, 1.57–9.62), anemia (OR, 3.67; 95% CI, 1.61–8.34) and hypertension (OR, 2.47; 95% CI, 1.–6.07). Among the comorbidity scores, CCI score of 2 (OR 6.67; 95% CI, 2.07–21.48), and ECI scores of 1 (OR, 4.07; 95% CI, 1.72–9.65), 2 (OR 2.86; 95% CI, 1.03–7.89), and ≥ 3 (OR, 4.87; 95% CI, 1.40–16.92) were significantly associated with higher odds of developing HO-CDI. CONCLUSION: Chronic obstructive pulmonary disease, chronic kidney disease, anemia, diabetes, and hypertension were associated with an increased risk of developing HO-CDI. Besides, ECI proved to be a better predictor for HO-CDI. Therefore, it is imperative that hospitals should capitalize on targeted preventive approaches in patients with these underlying conditions to reduce the risk of developing HO-CDI and limit potential exposure to other patients. Public Library of Science 2022-01-31 /pmc/articles/PMC10022263/ /pubmed/36962261 http://dx.doi.org/10.1371/journal.pgph.0000090 Text en © 2022 Mutai et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mutai, Winnie C.
Mureithi, Marianne
Anzala, Omu
Kullin, Brian
Ofwete, Robert
Kyany’ a, Cecilia
Odoyo, Erick
Musila, Lillian
Revathi, Gunturu
Assessment of independent comorbidities and comorbidity measures in predicting healthcare facility-onset Clostridioides difficile infection in Kenya
title Assessment of independent comorbidities and comorbidity measures in predicting healthcare facility-onset Clostridioides difficile infection in Kenya
title_full Assessment of independent comorbidities and comorbidity measures in predicting healthcare facility-onset Clostridioides difficile infection in Kenya
title_fullStr Assessment of independent comorbidities and comorbidity measures in predicting healthcare facility-onset Clostridioides difficile infection in Kenya
title_full_unstemmed Assessment of independent comorbidities and comorbidity measures in predicting healthcare facility-onset Clostridioides difficile infection in Kenya
title_short Assessment of independent comorbidities and comorbidity measures in predicting healthcare facility-onset Clostridioides difficile infection in Kenya
title_sort assessment of independent comorbidities and comorbidity measures in predicting healthcare facility-onset clostridioides difficile infection in kenya
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022263/
https://www.ncbi.nlm.nih.gov/pubmed/36962261
http://dx.doi.org/10.1371/journal.pgph.0000090
work_keys_str_mv AT mutaiwinniec assessmentofindependentcomorbiditiesandcomorbiditymeasuresinpredictinghealthcarefacilityonsetclostridioidesdifficileinfectioninkenya
AT mureithimarianne assessmentofindependentcomorbiditiesandcomorbiditymeasuresinpredictinghealthcarefacilityonsetclostridioidesdifficileinfectioninkenya
AT anzalaomu assessmentofindependentcomorbiditiesandcomorbiditymeasuresinpredictinghealthcarefacilityonsetclostridioidesdifficileinfectioninkenya
AT kullinbrian assessmentofindependentcomorbiditiesandcomorbiditymeasuresinpredictinghealthcarefacilityonsetclostridioidesdifficileinfectioninkenya
AT ofweterobert assessmentofindependentcomorbiditiesandcomorbiditymeasuresinpredictinghealthcarefacilityonsetclostridioidesdifficileinfectioninkenya
AT kyanyacecilia assessmentofindependentcomorbiditiesandcomorbiditymeasuresinpredictinghealthcarefacilityonsetclostridioidesdifficileinfectioninkenya
AT odoyoerick assessmentofindependentcomorbiditiesandcomorbiditymeasuresinpredictinghealthcarefacilityonsetclostridioidesdifficileinfectioninkenya
AT musilalillian assessmentofindependentcomorbiditiesandcomorbiditymeasuresinpredictinghealthcarefacilityonsetclostridioidesdifficileinfectioninkenya
AT revathigunturu assessmentofindependentcomorbiditiesandcomorbiditymeasuresinpredictinghealthcarefacilityonsetclostridioidesdifficileinfectioninkenya