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Healthcare-associated infections at a Tunisian tertiary referral hospital: temporal trends and risk factors

Published online by Cambridge University Press:  27 October 2026

Amal Ghribi*
Affiliation:
Department of Preventive Medicine and Hospital Hygiene, Hedi Chaker University Hospital , Sfax, Tunisia
Houda Ben Ayed
Affiliation:
Department of Preventive Medicine and Hospital Hygiene, Hedi Chaker University Hospital , Sfax, Tunisia
Mariem Ben Hmida
Affiliation:
Department of Preventive Medicine and Hospital Hygiene, Hedi Chaker University Hospital , Sfax, Tunisia
Nouha Ketata
Affiliation:
Department of Preventive Medicine and Hospital Hygiene, Hedi Chaker University Hospital , Sfax, Tunisia
Mouna Baklouti
Affiliation:
Department of Preventive and Community Medicine, University of Sfax Faculty of Medecine of Sfax, Tunisia
Ahmed Trigui
Affiliation:
Department of Preventive Medicine and Hospital Hygiene, Hedi Chaker University Hospital , Sfax, Tunisia
Ghada Nasri
Affiliation:
Department of Preventive Medicine and Hospital Hygiene, Hedi Chaker University Hospital , Sfax, Tunisia
Salima Bradai
Affiliation:
Department of Preventive Medicine and Hospital Hygiene, Hedi Chaker University Hospital , Sfax, Tunisia
Hanen Maamri
Affiliation:
Department of Preventive Medicine and Epidemiology, Hedi Chaker University Hospital, Tunisia
Sourour Yaich
Affiliation:
Department of Preventive Medicine and Epidemiology, Hedi Chaker University Hospital, Tunisia
*
Corresponding author: Amal Ghribi; Email: amalghribi.medecinesfax@gmail.com

Abstract

Objective:

To assess trends in healthcare-associated infection (HAI) prevalence, distribution by infection site and pathogen, and factors associated with HAI occurrence.

Design:

Five repeated point prevalence surveys (2017–2025).

Setting:

Hedi Chaker University Hospital, a tertiary-care teaching hospital in southern Tunisia.

Methods:

HAIs were defined per CDC/NHSN criteria. Temporal trends were assessed by Poisson regression and associated factors by multivariate logistic regression.

Results:

HAI prevalence increased significantly from 8.6% in 2017 to 21.8% in 2025 (Prevalence Ratio (PR) = 1.11; 95% CI: 1.06–1.15; P < .001), an estimated annual rise of 10%. Bloodstream infections (PR = 1.17; P = .004) and skin and soft tissue infections (PR = 1.17; P = .035) both increased significantly. Pneumonia and lower respiratory tract infections were the most frequent HAI type (26.2%). Among microbiologically documented HAIs (45.9%), Gram-negative bacilli predominated: Escherichia coli (23.5%), Pseudomonas aeruginosa (18.5%), and Klebsiella pneumoniae (17.6%). Multidrug-resistant (MDR) organisms accounted for 34.5% of isolates and increased significantly (PR = 1.12; P = .033). Independent risk factors were peripheral venous catheter use (Adjusted Odds Ratio (AOR) = 4.36; 95% CI: 2.78–6.84; P < .001), undernutrition (AOR = 2.02; 95% CI: 1.23–3.32; P = .005), and Intensive Care Unit admission (AOR = 2.08; 95% CI: 1.10–4.46; P = .048).

Conclusions:

HAI prevalence increased significantly from 2017 to 2025, with a sharp peak in 2025 and concurrent rises in bloodstream infections and MDR pathogens. These findings call for strengthened programs targeting modifiable risk factors and underscore the need for a national HAI surveillance network.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Table 1. Distribution and trends of healthcare-associated infected patients by year and infectious site (Hedi Chaker University Hospital, 2017–2025)Table 1 long description.

Figure 1

Table 2. Distribution and trends of laboratory-confirmed HAIs by causative pathogen (Hedi Chaker University Hospital, 2017–2025)Table 2 long description.

Figure 2

Table 3. Associated factors for healthcare-associated infection: results of univariate analysisTable 3 long description.

Figure 3

Table 4. Associated factors for healthcare-associated infection: results of multivariate analysisTable 4 long description.