ArticleBMC pulmonary medicine2024
The association between the use of angiotensin-converting enzyme inhibitors /angiotensin receptor blockers and the development of ventilator-associated pneumonia in the intensive care unit: a retrospective cohort study.
Article in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Exploring the correlation between eosinophils with clinical risk of severe pneumonia based on MIMIC-IV data.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study was to examine the association between treatment with angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) and the risk of developing ventilator-associated pneumonia (VAP) among patients receiving mechanical ventilation (MV) in the intensive care unit (ICU).
methodsUtilizing a retrospective cohort approach, the data were extracted from the Medical Information Mart for Intensive Care IV database. VAP diagnoses were ascertained through the international classification of disease codes recorded in the database. Both univariate and multivariable logistic regression analyses were conducted to assess the association between ACEI or ARB use and VAP. Subgroup analyses were performed to evaluate the impact of comorbidities (AKI, renal failure, diabetes, hypertension, and sepsis), simplified acute physiology score II (SAPS II), as well as the use of vasopressors and antibiotics on this association. Odds ratios (ORs) with 95% confidence intervals (CIs) were used as the evaluation metrics.
resultsThe study comprised 8,888 patients, with 897 (10.09%) experiencing VAP. The analysis revealed that patients on ACEI or ARB therapy had a lower risk of developing VAP (OR: 0.79, 95% CI: 0.62-0.99, P = 0.047). Subgroup analyses revealed that the protective effect was observed in patients with AKI (OR: 0.70, 95% CI: 0.52-0.94, P = 0.020), renal failure (OR: 0.14, 95% CI: 0.02-0.84, P = 0.032), and diabetes (OR: 0.64, 95% CI: 0.43-0.94, P = 0.024), as well as in those receiving vasopressors (OR: 0.67, 95% CI: 0.49-0.92, P = 0.012), and antibiotics (OR: 0.74, 95% CI: 0.57-0.96, P = 0.021). No significant difference in VAP development was observed between patients treated with ACEI versus ARB (OR: 0.84, 95% CI: 0.49-1.47, P = 0.547).
conclusionThis study's findings suggest a substantial association between the use of ACEIs or ARBs and reduced development of VAP, particularly among patients with specific comorbidities and those on vasopressor and antibiotic therapy. This study may educate the ICU team on the potential benefits of ACEIs and ARBs in preventing VAP, emphasizing the importance of considering these medications in the overall treatment plan.
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.