Observational studyInternal and emergency medicine2026
Assessment of mortality risk by respiratory rate-specific quartiles in mechanically ventilated patients with acute respiratory distress syndrome in Mexico.
Observational study in Internal and emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- Mechanical Power Indexed to Estimated Functional Residual Capacity as a Predictor of Mortality in Acute Respiratory Distress Syndrome:Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026Article
- Stratifying mortality risk in hypotension using outcome-oriented clustering of vital sign trajectories.iScience · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe respiratory rate (RR) is a fundamental parameter in the setting of mechanical ventilation (MV) in acute respiratory distress syndrome (ARDS), where an increase in RR may be associated with higher energy delivered to the lungs, thereby augmenting lung injury and inflammation, which can lead to death. The establishment of RR ranges that allow for the identification of ARDS patients at risk of mortality is required. Therefore, this study aimed to assess the association between the RR quartiles and mortality in a Mexican cohort of patients with ARDS who received MV. MATERIAL AND
methodsThis retrospective, observational, longitudinal study was conducted in the intensive care unit at a tertiary care center. One hundred ninety patients admitted between January 1, 2016, and December 31, 2022, were diagnosed with ARDS according to the Berlin criteria, of which 158 met the inclusion criteria. Univariable and multivariable Cox regression models, along with Kaplan-Meier survival analysis and the log-rank test, were used to evaluate the impact of clinical prognostic factors on mortality.
resultsMultivariable Cox regression revealed that the body mass index [BMI] (Hazard Ratio [HR] = 1.05, 95% confidence interval [CI] 1.012-1.08; p = 0.008) and RR were risk factors (HR = 1.13, 95% CI 1.004-1.26; p = 0.043) to predict mortality in patients with ARDS and MV. When the predictive power of RR was confirmed, the patients were stratified according to RR quartiles (Q1: 18-23 breaths per min (bpm), Q2: 24 bpm, Q3: 25-26 bpm, and Q4: 27-35 bpm) and analyzed separately. The RR Q4 was independently associated with poor outcomes (HR = 1.959, 95% CI 1.221-3.142; p = 0.005). In a Cox proportional hazards model adjusting for the impact of BMI and smoking, RR Q4 was an independent risk factor for predicting mortality (HR = 1.944, 95% CI 1.208-3.129; p = 0.006).
conclusionThese results suggested that a Q4 of RR (27-35 bpm) has a substantial predictive value and could be a marker of disease severity and a potential modifiable target in patients with ARDS and MV.
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