Evidence map›Paper›PMID 38586391›Full record

ArticleHeliyon2024

Post-operative site infections among surgical patients at Southern Ethiopia: A prospective cohort study.

Mohammed Abdu Seid, Misganaw Asmamaw Mengstie, Assefa Agegnehu Teshome, Kedir Abdu, Yonas Derso Abtew

Abstract read
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Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mohammed Abdu SeidDepartment of Biomedical Science, College of Health Sciences, Debre Tabor University, P. O. Box: 272, Debre Tabor, Ethiopia.
Misganaw Asmamaw MengstieDepartment of Biomedical Science, College of Health Sciences, Debre Tabor University, P. O. Box: 272, Debre Tabor, Ethiopia.
Assefa Agegnehu TeshomeDepartment of Biomedical Science, College of Health Sciences, Debre Tabor University, P. O. Box: 272, Debre Tabor, Ethiopia.
Kedir AbduDepartment of Information System, College of Informatics, Wollo University, Ethiopia.
Yonas Derso AbtewDepartment of Physiology, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The current study was conducted to estimate the magnitude of SSI among surgically treated patients and identify the predictors associated with it. Background: summary: Despite the fact that surgical site infection (SSI) is still a global health care-associated infection related to patients' discomfort, morbidity, and mortality, it is the most preventable nosocomial infection if all necessary measures are taken into account. Methods: An institution-based prospective cohort study was conducted at a large teaching hospital in southern Ethiopia. Patients admitted to the surgical ward with a non-traumatic acute abdomen were participants in the study and were followed prospectively for 30 days. The collected data was entered into Epi-Data 4 and exported to STATA 16 for analysis. A logistic regression (bi-variable and multivariable) model was computed to detect the association between SSI and predictors. In the final model, variables with a p-value <0.05 were declared statistically significant. Results: In this study, a total of 169 patients were enrolled. More than 3/4th (78.9%) of them were male, and the mean ± SD age of participants was 42.14 ± 12.5 years. Eighteen participants (10.5%) suffered from surgical site infection (SSI). Predictors of SSI were ever smoking [AOR = 3.9; 95% CI (1.2-16.5)], American Society of Anesthesiologists score ≥3 [AOR = 8.9; 95% CI (1.7-45.5)], appendectomy [AOR = 7.7; 95% CI (1.3-45.7)], and co-morbid diabetes [AOR = 13.8; 95% CI (2.6-72.1)]. Conclusion: The magnitude of SSI was considerable in the study setting. Predictors of SSI were smoking, ASA score, appendectomy, and co-morbid diabetes. We strongly recommend that health-care professionals provide health education and patient counseling on smoking and health-seeking behaviors. Considering co-morbid conditions before surgery has paramount importance. Moreover, further large-scale studies are suggested.

Indexed as

Abdominal surgeryPredictorsSurgical site infection

Identifiers

PMID38586391
PMCPMC10998209

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.