Crossover effect: causal machine learning reveals opposing mortality responses to mean arterial pressure targets among phenotypically distinct hypertensive patients with septic shock.

Abstract excerpt

AIMS: To quantify the heterogeneity of treatment effects of higher versus standard MAP targets on 28-day mortality, to identify distinct clinical phenotypes that respond differentially to MAP targets, and to derive simple bedside decision rules to guide individualised haemodynamic management. BACKGROUND: Current guidelines recommend a uniform mean arterial pressure (MAP) target of ≥65 mmHg for septic shock....

Topics

• Humans
• Shock, Septic
• Female
• Male
• Retrospective Studies
• Machine Learning
• Aged