Evidence map›Paper›PMID 41462128›Full record

ArticleBMC infectious diseases2025

Adult intensive care unit nosocomial infections related deaths in Jimma medical center: a cause specific cox regression analysis.

Etagegn Shacho, Daniel Yilma, Ayele Taye Goshu, Argaw Ambelu

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Etagegn ShachoDepartment of Environmental Health Science and Technology, Jimma University, Jimma, Ethiopia. setagegn@gmail.com.
Daniel YilmaDepartment of Internal Medicine, Institute of Health, Jimma University, Jimma, Ethiopia.
Ayele Taye GoshuDepartment of Mathematics, Kotebe University of Education, Addis Ababa, Ethiopia.
Argaw AmbeluDivision of Water and Health, Ethiopian Institute of Water Resources, Addis Ababa University, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNosocomial infections (NIs) are the major cause of death for adult patients in intensive care unit (ICU). We aimed to identify factors related to ICU nosocomial infections and analyze the risk of time-to-death in the presence of competing risks.

methodAdult patients admitted to Jimma University medical center (JUMC) medical intensive care unit (MICU) and surgical intensive care unit (SICU) were included in a prospective longitudinal study conducted from September 2021 to August 2022. The data were obtained in-person interview with the patient's caregiver, direct observations of adult ICU patients, and a review of the study participants' charts. We applied multivariable logistic regression to identify the risk factors of nosocomial infections and competing risk regression to assess the risk of death.

resultOut of 528, 263 patients were included; 167 (63.5%) of them acquired a hospital-acquired respiratory tract infection (HARTI); from total, 108 (41.1%) of them had hypertension; and 82 (31.2%) of the patients died in the intensive care unit. Among the 72 (27.4%) of the patient died, at least one NI occurred in the intensive care unit. The duration of catheter use (AOR: 1.45, 95%CI: 1.07, 1.97) and previous surgical procedure (AOR: 2.68, 95%CI: 1.29, 5.26) were risk factors for hospital-acquired urinary tract infection (HAUTI). Hypertension (AOR: 1.96, 95%CI: 1.51, 3.34) and the use of a mechanical ventilator (AOR: 2.07, 95%CI: 1.23, 3.48) were risk factors for HARTI. When HARTI is present in entire ICUs, the overall chance of dying within 3-12 days is higher than when it is not. Similarly, in the medical ICU, patients who received HARTI had a greater chance of death from day 3 to the last day of observation than those who did not get HARTI. Patients with HARTI in all adult ICUs had more than twice the risk of death as those who did not (HR: 2.1, 95% CI = 1.24, 3.42). In the medical ICU, patients who received HARTI had a 4.4-fold higher risk of death. Malnutrition is also a key contributor to increased mortality in ICU patients. Patients with severe malnutrition had a significantly increased risk of dying in medical ICUs (HR: 9.5, 95% CI: 3.76, 24.40), the entire ICU (HR: 5.4, 95% CI: 3.31, 8.84), and surgical ICUs (HR: 3.76, 95% CI: 2.20, 6.43). Furthermore, the hazard ratio of length of hospital stay is 0.85 implies that for each additional time of stay in ICU, the hazard to mortality of a patient decreases by about 15% (HR: 0.85, 95% CI: 0.78-0.98).

conclusionOut of 263 study participants 72 (27.4%) of the patient died, at least one NI occurred in the intensive care unit. A study found that HARTI was associated with a higher risk of adult ICU death. Using a mechanical ventilator and having hypertension raises the risk of HARTI. Each additional stays in the ICU were associated with a 15% lower risk of death, underscoring how essential ongoing intensive care is for patients facing severe illnesses. This underlines the importance of providing ongoing training and mentoring to healthcare staff on how to use mechanical and critical care units during practice to improve HARTI prevention. Moreover, the hazard ratios for mortality in severely malnourished patients are 9.5 in medical ICUs, 5.4 in the entire ICU, and 3.76 in surgical ICUs, underscoring the critical impact of nutritional status on survival. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Cross InfectionIntensive Care UnitsAdultAgedFemaleHospital MortalityHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsCompeting risk regressionCumulative incidenceICUMultivariable logistic regression

Identifiers

PMID41462128
PMCPMC12752084

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.