ArticleAlcoholism, clinical and experimental research2020
Red Blood Cell Distribution Width as a Predictor of 28-Day Mortality in Critically Ill Patients With Alcohol Use Disorder.
Article in Alcoholism, clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Alcohol and cause-specific mortality in Russia: the Know Your Heart Study 2015-23.BMC public health · 2024Article
- Triglyceride-glucose index is associated with all-cause mortality in critically ill patients with alcohol use disorder: a retrospective cohort study.Journal of health, population, and nutrition · 2024Article
- Biochemical, Hematological, Inflammatory, and Gut Permeability Biomarkers in Patients with Alcohol Withdrawal Syndrome with and without Delirium Tremens.Journal of clinical medicine · 2024Article
- FIB-4 index is associated with mortality in critically ill patients with alcohol use disorder: Analysis from the MIMIC-IV database.Addiction biology · 2024Article
- Association of Plasma Anion Gap with 28-Day Inhospital Mortality and 1-Year Mortality of Patients with Alcohol Use Disorder at ICU Admission: A Retrospective Cohort Study.Disease markers · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients with alcohol use disorder (AUD) are common attendees of the intensive care unit (ICU). Early assessment of the prognosis for critically ill patients with AUD is conducive for formulating comprehensive treatment measures and improving survival rates. The purpose of this study was to explore the predictive value of red blood cell distribution width (RDW) for 28-day mortality in critically ill patients with AUD.
methods2,884 patients with AUD were recruited retrospectively. Data from the MIMIC-III database were collected and analyzed. A receiver operating characteristic (ROC) curve was used to determine the optimal cutoff value of RDW. The Kaplan-Meier method and Cox regression models were used to evaluate prognostic factors.
resultsOf the 2,884 patients, there were 344 nonsurvivors (11.9%). The nonsurvivors had a higher RDW than the survivors (p < 0.001). According to ROC curve analysis, the area under the curve predicted by RDW for 28-day mortality was 0.728 (95% CI, 0.700 to 0.755) and the optimal cutoff value was 15.45% (sensitivity: 67.2%; specificity: 67.3%). Length of stay in ICU, length of stay in hospital, in-hospital mortality, and 28-day mortality in patients with an RDW > 15.45% were significantly higher than in those with an RDW ≤ 15.45% (p < 0.001). Cox regression analysis showed that an RDW > 15.45% was an independent prognostic indicator for 28-day mortality in critically ill patients with AUD (HR = 1.964, 95% CI: 1.429 to 2.698).
conclusionsHigh RDW was associated with increased short-term mortality risks in critically ill patients with AUD.
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.