Epidemiological patterns of bacterial and fungal healthcare-associated infection outbreaks in Ministry of Health hospitals in Saudi Arabia, 2020-2021
Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved..
BACKGROUND: Healthcare-Associated Infections (HAI) outbreaks remain a huge challenge to the healthcare sectors worldwide. Their impact on morbidity and mortality, economic and healthcare burden remains a public health problem and a challenge to the HAI surveillance system, infection control, and HAI management strategies.
AIM: This study aimed to investigate the epidemiological patterns, distribution, causative agents of HAI outbreaks and the influence of age, COVID-19 co-infection, medical invasive procedures, and hospital units on mortality among HAI outbreaks cases.
METHODS: This chart review study involved HAI outbreak cases recorded in Ministry of Health hospitals during 2020-2021 in Saudi Arabia. HAI outbreak notification and investigation forms were used for data collection. A binary logistic regression model was performed to determine the significant predictors of mortality. Univariate analyses were performed to determine the association between hospital units, organisms, and COVID-19 co-infection to the site of infection.
RESULTS: A total of 217 HAI outbreaks with 1003 cases were recorded in 2020-2021. Gram-negative bacteria were isolated from 73.8% of the cases. The overall specific case fatality rate was 47.5%. The significant predictors of mortality were age, invasive medical procedures, COVID-19 co-infection, and intensive care units' admission. Moreover, ventilator-associated events were more associated with cases co-infected with COVID-19.
CONCLUSION: HAI outbreaks were most prevalent in the Western and Central region and in intensive care units. Gram negative bacteria were responsible for most of cases while ventilator-associated events and central line-associated bloodstream infections were the most common infection sites. Implementing targeted and effective prevention and control strategies is recommended.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:17 |
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| Enthalten in: |
Journal of infection and public health - 17(2024), 4 vom: 30. März, Seite 551-558 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Kilani, Mohammed A [VerfasserIn] |
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| Links: |
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| Themen: |
COVID-19 |
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| Anmerkungen: |
Date Completed 25.03.2024 Date Revised 25.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.jiph.2024.01.016 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM368576302 |
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| 100 | 1 | |a Kilani, Mohammed A |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Epidemiological patterns of bacterial and fungal healthcare-associated infection outbreaks in Ministry of Health hospitals in Saudi Arabia, 2020-2021 |
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| 500 | |a Date Revised 25.03.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved. | ||
| 520 | |a BACKGROUND: Healthcare-Associated Infections (HAI) outbreaks remain a huge challenge to the healthcare sectors worldwide. Their impact on morbidity and mortality, economic and healthcare burden remains a public health problem and a challenge to the HAI surveillance system, infection control, and HAI management strategies | ||
| 520 | |a AIM: This study aimed to investigate the epidemiological patterns, distribution, causative agents of HAI outbreaks and the influence of age, COVID-19 co-infection, medical invasive procedures, and hospital units on mortality among HAI outbreaks cases | ||
| 520 | |a METHODS: This chart review study involved HAI outbreak cases recorded in Ministry of Health hospitals during 2020-2021 in Saudi Arabia. HAI outbreak notification and investigation forms were used for data collection. A binary logistic regression model was performed to determine the significant predictors of mortality. Univariate analyses were performed to determine the association between hospital units, organisms, and COVID-19 co-infection to the site of infection | ||
| 520 | |a RESULTS: A total of 217 HAI outbreaks with 1003 cases were recorded in 2020-2021. Gram-negative bacteria were isolated from 73.8% of the cases. The overall specific case fatality rate was 47.5%. The significant predictors of mortality were age, invasive medical procedures, COVID-19 co-infection, and intensive care units' admission. Moreover, ventilator-associated events were more associated with cases co-infected with COVID-19 | ||
| 520 | |a CONCLUSION: HAI outbreaks were most prevalent in the Western and Central region and in intensive care units. Gram negative bacteria were responsible for most of cases while ventilator-associated events and central line-associated bloodstream infections were the most common infection sites. Implementing targeted and effective prevention and control strategies is recommended | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Healthcare-Associated Infections | |
| 650 | 4 | |a Outbreaks | |
| 650 | 4 | |a Saudi Arabia | |
| 650 | 4 | |a Surveillance | |
| 700 | 1 | |a Aljohar, Bashaier A |e verfasserin |4 aut | |
| 700 | 1 | |a Alayed, Yazeed A |e verfasserin |4 aut | |
| 700 | 1 | |a Alshahrani, Najim Z |e verfasserin |4 aut | |
| 700 | 1 | |a Shiha, Hala R |e verfasserin |4 aut | |
| 700 | 1 | |a Bin Saleh, Ghada |e verfasserin |4 aut | |
| 700 | 1 | |a Alshanbari, Nasser H |e verfasserin |4 aut | |
| 700 | 1 | |a Alanazi, Khalid H |e verfasserin |4 aut | |
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