Risk factors for prolonged mechanical ventilation in critically ill patients with ischemic stroke

Jielian Luo1, Chen Zhang2, Rou Deng1

  • 1Department of Emergency, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Insights

Prolonged mechanical ventilation (PMV) in ischemic stroke patients is linked to conditions like COPD, sepsis, and obesity. Identifying these risk factors can help predict and manage PMV, improving patient outcomes.

Area of Science:

  • Critical Care Medicine
  • Neurology
  • Pulmonology

Background:

  • Prolonged mechanical ventilation (PMV) increases morbidity and mortality in critically ill ischemic stroke patients.
  • Limited data exists on the independent risk factors for PMV in this specific patient population.

Purpose of the Study:

  • To identify independent predictors of PMV in critically ill ischemic stroke patients.
  • To develop a predictive model for early risk stratification and management of PMV.

Main Methods:

  • Utilized the Medical Information Mart for Intensive Care IV (MIMIC-IV) database to identify ischemic stroke patients.
  • Defined PMV as mechanical ventilation exceeding 14 days.
  • Employed multivariable logistic regression and assessed model performance using ROC curves, calibration plots, and decision curve analysis.

Main Results:

  • 14.7% of 756 ischemic stroke patients required PMV, with higher in-hospital (27.0%) and one-year (45.9%) mortality.
  • Independent risk factors for PMV included obesity (BMI ≥33 kg/m²), COPD, alkalosis (pH ≥7.45), elevated respiratory rate (≥20 min⁻¹), sepsis onset before day 14, tracheostomy, vasopressor use, and pneumonia onset before day 14.
  • A developed nomogram showed good discrimination (AUC 0.86) and calibration.

Conclusions:

  • PMV in critically ill ischemic stroke patients is associated with several clinical factors including COPD, sepsis, obesity, alkalosis, increased respiratory rate, tracheostomy, vasopressor use, and pneumonia.
  • The predictive model demonstrates strong diagnostic performance, potentially aiding in early risk assessment and clinical management strategies.