Key result
Higher 48-hour lactate clearance is linked to ~9% lower pressure injury risk during ECMO.
Why the study?
The association between dynamic lactate clearance and pressure injury development in adults undergoing ECMO support, as well as its incremental value for early risk prediction, warranted investigation.
Does dynamic lactate clearance within the first 48 hours predict pressure injury development and improve risk stratification beyond clinical parameters in adults undergoing ECMO support?
Cohort (n=317)
No
Does dynamic lactate clearance within the first 48 hours predict pressure injury development and improve risk stratification beyond clinical parameters in adults undergoing ECMO support?
Monitoring dynamic lactate clearance over the first 48 hours of ECMO support substantially improves early identification of patients at high risk for developing pressure injuries compared with clinical risk factors alone.
Answers are grounded in this paper and cite their sources.
May aid ECMO pressure injury risk stratification; extends prediction models but leaves open prospective validation.
Backgrounds: This study aimed to investigate the association between dynamic lactate clearance and the development of pressure injuries in adult patients undergoing extracorporeal membrane oxygenation (ECMO) support and to evaluate its incremental value for early risk prediction. Mehods: This was a retrospective longitudinal cohort study. A total of 317 adult patients receiving ECMO support were enrolled. Lactate concentrations were measured at ECMO initiation and at 6, 24, and 48 h thereafter. Lactate clearance rates were calculated for each corresponding time point. Multivariable logistic regression analysis was performed to identify independent risk factors for pressure injury development. The predictive performance of lactate clearance was assessed using receiver operating characteristic (ROC) curves, five-fold cross-validation, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Independent predictors of pressure injury included higher body mass index, elevated vasoactive-inotropic score, VA-ECMO mode, and concomitant renal replacement therapy. The baseline clinical model yielded an area under the curve (AUC) of 0.710. Incorporating lactate clearance significantly improved model discrimination, with AUCs increasing to 0.796, 0.825, and 0.899 for the 6-hour, 24-hour, and 48-hour models, respectively. Consistent enhancements in predictive accuracy were confirmed by cross-validation, NRI, and IDI analyses. Conclusions: Impaired lactate clearance is independently associated with pressure injury development in critically ill adults supported by ECMO. Dynamic monitoring of lactate clearance substantially enhances risk stratification beyond traditional clinical parameters.
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Niu et al. (2026) conducted a cohort in Severe cardiopulmonary failure requiring extracorporeal membrane oxygenation (ECMO) support (n=317). Dynamic lactate clearance within the first 48 hours of ECMO support was evaluated on Development of pressure injury during ECMO support (48-hour lactate clearance model) (OR 0.911, p=<0.001). Dynamic 48-hour lactate clearance independently predicted pressure injury during ECMO (OR 0.911, P<0.001) and improved model discrimination from AUC 0.710 to 0.899.
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