Acute kidney injury (AKI) is a common and serious complication in critically ill patients with sepsis. Mechanical ventilation settings, especially positive end‑expiratory pressure (PEEP), can influence cardiopulmonary interactions and organ perfusion, with potential downstream effects on renal function. This study aimed to clarify the relationship between PEEP exposure over time and AKI risk in septic patients receiving mechanical ventilation using a large intensive care database.
The analysis extracted data on septic patients receiving mechanical ventilation from the MIMIC‑IV database. The abstract reports a cohort of 2,142 patients but does not provide additional patient‑level inclusion or exclusion criteria within the provided text. Details such as the study period, exact sepsis definition applied, baseline characteristics, or comorbidity profiles were not reported in the abstract.
Daily mean PEEP values were calculated for each patient for the first 10 days of mechanical ventilation. These longitudinal PEEP measurements were analyzed with the latent class trajectory model (LCTM) to identify distinct temporal patterns of PEEP exposure. The optimal number of trajectory classes was selected using the Bayesian information criterion (BIC).
After trajectory classes were defined, binary regression was used to evaluate associations between PEEP trajectory group membership and the occurrence of AKI. The analysis adjusted for confounders, although the abstract does not enumerate which specific covariates were included in the adjusted models. Reported effect estimates include odds ratios (ORs) with 95% confidence intervals (CIs) and P values.
LCTM classified the 2,142 patients into three PEEP trajectory groups:
Compared with the low PEEP group, adjusted analyses demonstrated higher odds of AKI in both the medium and high PEEP groups. Specifically:
These results indicate a graded increase in AKI risk across increasing PEEP trajectory categories after statistical adjustment for confounding.
In this MIMIC‑IV cohort of septic patients receiving mechanical ventilation, patients whose daily mean PEEP fell into medium or high trajectory patterns during the first 10 days had higher adjusted odds of developing AKI than patients in the low PEEP trajectory. The authors conclude that PEEP trajectory may serve as a useful indicator for AKI risk assessment in critically ill septic patients on mechanical ventilation.
Clinically, the findings highlight the potential role of ventilator management in the lung‑kidney interaction. Recognizing PEEP exposure patterns over time could prompt closer renal monitoring or consideration of strategies to mitigate renal risk in patients requiring higher PEEP levels. However, the abstract does not provide specific recommendations for changing PEEP targets or describe causal mechanisms in detail.
The provided abstract summarizes the study design, trajectory classification, cohort size, and primary adjusted associations but omits several methodological and contextual details that would be important for interpretation and application:
Because these details were not reported in the provided source text, readers should consult the full article for the complete methodology, covariate list, sensitivity analyses, and subgroup findings before applying the results to practice or guideline development.
Among 2,142 septic patients on mechanical ventilation in the MIMIC‑IV database, higher PEEP trajectories over the first 10 days were independently associated with greater odds of AKI compared with a low PEEP trajectory. The authors suggest that PEEP trajectory could function as a risk assessment indicator for AKI in critically ill septic patients. Further information and full methodological detail are available only in the complete article; the abstract does not report several items needed to fully assess causality or to guide practice changes.