Comorbidity profiles and pulmonary embolism risk assessment: Leveraging the Charlson Comorbidity Index for improved prognostication in a national data set.

Abstract

Current risk assessment of pulmonary embolism (PE) stratifies patients based on hemodynamic stability, clinical parameters of severity, right ventricular dysfunction and cardiac injury but fails to integrate a wide variety of comorbid conditions. The Charlson Comorbidity Index (CCI) predicts mortality based on patients' diseases and provides a system to quantify disease burden. The National Inpatient Sample (NIS) database (2016-2018) was used to identify patients with PE and calculate CCI score groups of 0, 1-2, 3-5, and ≥6 and stratify them by outcome. Of 561,625 patients with PE, 176,460 (31.4%) had CCI score of 0, 223,870 (39.8%) had CCI of 1-2, 102,305 (18.2%) had CCI of 3-5, and 58,990 (10.5%) had CCI ≥ 6. Higher CCI scores were associated with increased mortality: CCI 1-2 (adjusted odds ratio [aOR] 2.09), CCI 3-5 (aOR 3.12), CCI ≥ 6 (aOR 5.44) compared to CCI 0, along with stepwise increases in shock and mechanical ventilation with each increase in CCI score group. CCI scores ≥3 had increased length of stay (1.4-1.72 days) and increased total hospital costs ($3651-$4265) compared to CCI0. Patients with CCI ≥ 3 were less likely to receive systemic thrombolysis, catheter directed thrombolysis and mechanical thrombectomy. Acute PE in patients with elevated comorbidity scores is associated with higher morbidity and mortality, increased hospital resource utilization, and decreased usage of advanced therapies in a large cohort reflective of patients across the United States. Integration of comorbidities in risk assessment profiles identifies patients with higher short-term mortality which may guide management strategy.