Epidemiology, determinants, and microbiological profile of implant-associated infections following intramedullary nailing in a tertiary hospital in Ethiopia

BACKGROUND: Implant-associated infections after intramedullary nailing (IMN) are a major cause of morbidity in patients with long bone fractures. This study aimed to determine the magnitude, determinants, and microbiological profile of such infections in a tertiary hospital in Ethiopia. METHODS: A hospital-based cross-sectional study was conducted among 260 patients who underwent IMN for lower extremity long bone fractures between January 2021 and December 2023. Clinical data, operative details, and microbiological results were collected, and logistic regression was applied to identify determinants of infection. RESULTS: The overall infection rate was 8.46% (95% CI: 5.38-12.53; 22/260), comprising 4.62% deep and 3.85% superficial infections. We found that emergency surgery and hospital stay longer than 14 days were independently associated with an increased risk of infection. Among the limited number of culture-positive infections, Gram-negative bacteria predominated, with Escherichia coli as the most frequently identified pathogen. CONCLUSION: The infection rate was higher than in many other settings, underscoring the need for improved perioperative infection prevention and reduced hospital stays. Findings highlight the importance of perioperative optimization and hospital infection control in LMICs.

Authors

Institutions

Publication Details

Journal
Archives of Orthopaedic and Trauma Surgery
Published
2026-10-14
DOI
https://doi.org/10.1007/s00402-026-06535-6
Primary Topic
Orthopedic Infections and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epidemiology, determinants, and microbiological profile of implant-associated infections following intramedullary nailing in a tertiary hospital in Ethiopia

Yohannis Derbew Molla, Abebaw Muhabaw Zegeye, Birlew Teshome Alemayehu, Sileshi Serebe Zeleke et al.
Archives of Orthopaedic and Trauma Surgery
Orthopedic Infections and Treatments
article

Epidemiology, determinants, and microbiological profile of implant-associated infections following intramedullary nailing in a tertiary hospital in Ethiopia

Yohannis Derbew Molla, Abebaw Muhabaw Zegeye, Birlew Teshome Alemayehu, Sileshi Serebe Zeleke, Ephrem Bekele Kebede, Suleiman Ayalew Belay
article en

Abstract

BACKGROUND: Implant-associated infections after intramedullary nailing (IMN) are a major cause of morbidity in patients with long bone fractures. This study aimed to determine the magnitude, determinants, and microbiological profile of such infections in a tertiary hospital in Ethiopia. METHODS: A hospital-based cross-sectional study was conducted among 260 patients who underwent IMN for lower extremity long bone fractures between January 2021 and December 2023. Clinical data, operative details, and microbiological results were collected, and logistic regression was applied to identify determinants of infection. RESULTS: The overall infection rate was 8.46% (95% CI: 5.38-12.53; 22/260), comprising 4.62% deep and 3.85% superficial infections. We found that emergency surgery and hospital stay longer than 14 days were independently associated with an increased risk of infection. Among the limited number of culture-positive infections, Gram-negative bacteria predominated, with Escherichia coli as the most frequently identified pathogen. CONCLUSION: The infection rate was higher than in many other settings, underscoring the need for improved perioperative infection prevention and reduced hospital stays. Findings highlight the importance of perioperative optimization and hospital infection control in LMICs.

Archives of Orthopaedic and Trauma SurgeryVol. 146(1)
University of Gondar (ET)
Good health and well-being
Openalex Percentile: Top 10%
Orthopedic Infections and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.