ArticleAmerican journal of translational research2021
An analysis of the 28-day mortality risk factors in acute respiratory distress syndrome patients and the establishment of prediction models.
Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Early Prediction of Mortality Risk in Acute Respiratory Distress Syndrome: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Neutrophil-to-lymphocyte ratio is associated with short-term mortality in patients with acute respiratory distress syndrome: a meta-analysis.BMC infectious diseases · 2026Article
- Early Peri-Admission Lactate-to-Albumin (LAR), C-Reactive Protein-to-Albumin (CAR), and Procalcitonin-to-Albumin (PAR) Ratios and ICU Mortality in a Tertiary Cardiac ICU.Journal of clinical medicine · 2026Article
- Independent predictors of long-term pulmonary function recovery in patients with acute respiratory distress syndrome: a meta-analysis.American journal of translational research · 2026Review
- A Clinical Data-Based Nomogram Prediction Model for ARDS in Patients With Acute Pancreatitis.International journal of general medicine · 2026Article
- Predictive value of combined detection of blood Urea nitrogen and Neutrophil-to-lymphocyte ratio for identifying severe pneumonia complicated with sepsis in neonates.BMC infectious diseases · 2025Article
- A Nomogram for Predicting Mortality in Patients with Pneumonia-Associated Acute Respiratory Distress Syndrome (ARDS).Journal of inflammation research · 2024Article
- Multi-inflammatory Index as a Novel Mortality Predictor in Critically Ill COVID-19 Patients.Journal of intensive care medicine · 2022Article
- Association of Procalcitonin to Albumin Ratio with the Presence and Severity of Sepsis in Neonates.Journal of inflammation research · 2022Article
- Analysis of the Relevant Vital Signs and Infection of Sepsis Patients and to Explore the Influencing Factors of Acute Lung Injury/Acute Respiratory Distress Syndrome.Contrast media & molecular imaging · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the risk factors and prediction models of 28-day mortality in acute respiratory distress syndrome (ARDS) patients.
methodsA total of 215 ARDS patients treated in our hospital were enrolled in this prospective observational study, including 70 patients who died within 28 days and were placed in the death group, and the remaining 145 patients who survived and were placed in the survival group. The laboratory examination indexes and critical scoring system scores were compared between the two groups. A Cox regression analysis was used to analyze the factors associated with 28-day mortality, and a receiver operating characteristic (ROC) curve was used to analyze the performance of the prediction models.
resultsThe ROC curve analysis showed that the erythrocyte distribution width (RDW), the neutrophil to lymphocyte ratio (NLR), the procalcitonin to albumin ratio (PAR), and the Murray lung injury score (MLIS) were effective at diagnosing the 28-day mortality, each with an area under the curve (AUC) of >0.5 (P<0.001). A multivariate Cox analysis showed that the RDW, NLR, PAR, and MLIS were independent predictors of 28-day mortality. The results of the multi-index joint prediction showed that the AUC of RDW+NLR+PAR+MLIS was 0.945 (95% CI: 0.910-0.979), and the sensitivity was as high as 94.25%.
conclusionNLR, PAR, RDW, and MLIS are independent predictors of 28-day mortality, and their combined prediction can significantly improve the predictive ability of the 28-day mortality in ARDS patients.
Indexed as
Identifiers
34306446PMC8290800What 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.