ArticleArchives of medical science : AMS2025
Survival analysis of antibiotics in patients undergoing cardiopulmonary bypass in the intensive care unit: a study based on the Medical Information Mart for Intensive Care-IV database.
Article in Archives of medical science : AMS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: This study aimed to evaluate the influence of antibiotics on the survival of patients in the intensive care unit (ICU) undergoing cardiopulmonary bypass (CPB) treatment. Material and methods: This retrospective cohort study included data of 7,296 patients who underwent CPB surgery and were admitted to the ICU from the MIMIC-IV database. Patients with CPB were grouped according to their survival time of more than 30 days or less after admission and whether antibiotics were used, with baseline characteristics analyzed. Survival differences were assessed using Kaplan-Meier (K-M) curves. Landmark analysis was used to assess inter-group survival differences before and after specific time points. Three models were constructed by adjusting for different covariates. Cox regression analysis assisted with the association analysis between antibiotic use and the mortality risk in CPB patients. According to subgroup analysis, survival differences between distinct subgroups of CPB patients were compared. Results: In CPB patients grouped according to survival time, large differences were detected in laboratory indexes, comorbidities, and treatment information. In terms of disease severity scores, vital signs, and comorbidity, there were notable differences in the data in CPB patients grouped by whether antibiotics were administered. K-M curves showed that the use of antibiotics substantially increased the 30-day survival rate of all CPB patients as well as CPB patients without sepsis complications. Landmark analysis indicated that the use of antibiotics greatly increased the survival rates of all CPB patients and CPB patients without sepsis complications at 7 and 14 days after ICU admission. Cox regression analysis demonstrated that the mortality risk of patients using antibiotics was significantly reduced in all CPB patients and CPB patients without sepsis complications. The mortality risk was considerably lower in CPB patients with SOFA scores in the range of (-1, 5] (HT = 0.28, 95% CI: 0.21-0.37, Conclusions: In CPB patients admitted to the ICU, the rational use of antibiotics for treatment and prophylaxis can significantly reduce the risk of mortality. These findings provide insights for clinical practice, assisting healthcare professionals to better assess and manage CPB patients in the ICU and formulate appropriate treatment plans to improve patient survival rates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.