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Laboratory-confirmed hospital-acquired infections: An analysis of a hospital's surveillance data in Nigeria
OBJECTIVE: Hospital-acquired infections (HAI) are a global problem and a major public health concern in hospitals throughout the world. Quantification of HAI is needed in developing countries; hence we describe the results of a 2-year surveillance data in a tertiary hospital in Nigeria. METHODOLOGY:...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072901/ https://www.ncbi.nlm.nih.gov/pubmed/30094385 http://dx.doi.org/10.1016/j.heliyon.2018.e00720 |
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author | Iliyasu, Garba Dayyab, Farouq Muhammad Abubakar, Salisu Inuwa, Salisu Tambuwal, Sirajo Haliru Tiamiyu, Abdulwasiu Bolaji Habib, Zaiyad Garba Gadanya, Muktar Ahmed Sheshe, Abdulrahman Abba Mijinyawa, Muhammad Sani Aminu, Aliyu Adamu, Muhammad Shuaibu Mande, Kabir Mohammad Habib, Abdulrazaq Garba |
author_facet | Iliyasu, Garba Dayyab, Farouq Muhammad Abubakar, Salisu Inuwa, Salisu Tambuwal, Sirajo Haliru Tiamiyu, Abdulwasiu Bolaji Habib, Zaiyad Garba Gadanya, Muktar Ahmed Sheshe, Abdulrahman Abba Mijinyawa, Muhammad Sani Aminu, Aliyu Adamu, Muhammad Shuaibu Mande, Kabir Mohammad Habib, Abdulrazaq Garba |
author_sort | Iliyasu, Garba |
collection | PubMed |
description | OBJECTIVE: Hospital-acquired infections (HAI) are a global problem and a major public health concern in hospitals throughout the world. Quantification of HAI is needed in developing countries; hence we describe the results of a 2-year surveillance data in a tertiary hospital in Nigeria. METHODOLOGY: This study is a 2-year review using secondary data collected at a tertiary referral center in northwestern Nigeria. The data was collected using surveillance forms modeled based on the Centre for Disease Control (CDC) protocol. Descriptive statistics were used to present results as frequencies and percentages. RESULT: 518 patients developed HAI out of 8216 patients giving an overall prevalence of 6.3%. The mean age of the patients was 35.98 years (±15.92). Males constituted 281 (54.2%). UTI 223 (43.1%) was the most prevalent HAI. Overall, E. coli 207 (40.0%) was the most frequent isolates followed by P. aerugenosa 80 (15.4%). There was a high prevalence of cloxacillin resistant S. aureus (67.9%) and gram-negative rods resistant to third-generation cephalosporins. Trimethoprim-sulfamethoxazole resistance across the board was more than 90%. CONCLUSION: There is a high burden of HAI especially UTI in our hospital with resistance to commonly used antibiotics documented. |
format | Online Article Text |
id | pubmed-6072901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-60729012018-08-09 Laboratory-confirmed hospital-acquired infections: An analysis of a hospital's surveillance data in Nigeria Iliyasu, Garba Dayyab, Farouq Muhammad Abubakar, Salisu Inuwa, Salisu Tambuwal, Sirajo Haliru Tiamiyu, Abdulwasiu Bolaji Habib, Zaiyad Garba Gadanya, Muktar Ahmed Sheshe, Abdulrahman Abba Mijinyawa, Muhammad Sani Aminu, Aliyu Adamu, Muhammad Shuaibu Mande, Kabir Mohammad Habib, Abdulrazaq Garba Heliyon Article OBJECTIVE: Hospital-acquired infections (HAI) are a global problem and a major public health concern in hospitals throughout the world. Quantification of HAI is needed in developing countries; hence we describe the results of a 2-year surveillance data in a tertiary hospital in Nigeria. METHODOLOGY: This study is a 2-year review using secondary data collected at a tertiary referral center in northwestern Nigeria. The data was collected using surveillance forms modeled based on the Centre for Disease Control (CDC) protocol. Descriptive statistics were used to present results as frequencies and percentages. RESULT: 518 patients developed HAI out of 8216 patients giving an overall prevalence of 6.3%. The mean age of the patients was 35.98 years (±15.92). Males constituted 281 (54.2%). UTI 223 (43.1%) was the most prevalent HAI. Overall, E. coli 207 (40.0%) was the most frequent isolates followed by P. aerugenosa 80 (15.4%). There was a high prevalence of cloxacillin resistant S. aureus (67.9%) and gram-negative rods resistant to third-generation cephalosporins. Trimethoprim-sulfamethoxazole resistance across the board was more than 90%. CONCLUSION: There is a high burden of HAI especially UTI in our hospital with resistance to commonly used antibiotics documented. Elsevier 2018-08-02 /pmc/articles/PMC6072901/ /pubmed/30094385 http://dx.doi.org/10.1016/j.heliyon.2018.e00720 Text en © 2018 The Authors. Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Iliyasu, Garba Dayyab, Farouq Muhammad Abubakar, Salisu Inuwa, Salisu Tambuwal, Sirajo Haliru Tiamiyu, Abdulwasiu Bolaji Habib, Zaiyad Garba Gadanya, Muktar Ahmed Sheshe, Abdulrahman Abba Mijinyawa, Muhammad Sani Aminu, Aliyu Adamu, Muhammad Shuaibu Mande, Kabir Mohammad Habib, Abdulrazaq Garba Laboratory-confirmed hospital-acquired infections: An analysis of a hospital's surveillance data in Nigeria |
title | Laboratory-confirmed hospital-acquired infections: An analysis of a hospital's surveillance data in Nigeria |
title_full | Laboratory-confirmed hospital-acquired infections: An analysis of a hospital's surveillance data in Nigeria |
title_fullStr | Laboratory-confirmed hospital-acquired infections: An analysis of a hospital's surveillance data in Nigeria |
title_full_unstemmed | Laboratory-confirmed hospital-acquired infections: An analysis of a hospital's surveillance data in Nigeria |
title_short | Laboratory-confirmed hospital-acquired infections: An analysis of a hospital's surveillance data in Nigeria |
title_sort | laboratory-confirmed hospital-acquired infections: an analysis of a hospital's surveillance data in nigeria |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072901/ https://www.ncbi.nlm.nih.gov/pubmed/30094385 http://dx.doi.org/10.1016/j.heliyon.2018.e00720 |
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