Abstract

In this study, we examined the length of stay (LoS)-predictive comorbidities, hospital costs-predictive comorbidities, and mortality-predictive comorbidities in immobile ischemic stroke (IS) patients; second, we used the Charlson Comorbidity Index (CCI) to assess the association between comorbidity and the LoS and hospitalization costs of stroke; third, we assessed the magnitude of excess IS mortality related to comorbidities. Between November 2015 and July 2017, 5114 patients hospitalized for IS in 25 general hospitals from six provinces in eastern, western, and central China were evaluated. LoS was the period from the date of admission to the date of discharge or date of death. Costs were collected from the hospital information system (HIS) after the enrolled patients were discharged or died in hospital. The HIS belongs to the hospital's financial system, which records all the expenses of the patient during the hospital stay. Cause of death was recorded in the HIS for 90 days after admission regardless of whether death occurred before or after discharge. Using the CCI, a comorbidity index was categorized as zero, one, two, and three or more CCI diseases. A generalized linear model with a gamma distribution and a log link was used to assess the association of LoS and hospital costs with the comorbidity index. Kaplan-Meier survival curves was used to examine overall survival rates. We found that 55.2% of IS patients had a comorbidity. Prevalence of peripheral vascular disease (21.7%) and diabetes without end-organ damage (18.8%) were the major comorbidities. A high CCI=3+ score was an effective predictor of a high risk of longer LoS and death compared with a low CCI score; and CCI=2 score and CCI=3+ score were efficient predictors of a high risk of elevated hospital costs. Specifically, the most notable LoS-specific comorbidities, and cost-specific comorbidities was dementia, while the most notable mortality-specific comorbidities was moderate or severe renal disease. CCI has significant predictive value for clinical outcomes in IS. Due to population aging, the CCI should be used to identify, monitor and manage chronic comorbidities among immobile IS populations.

Highlights

  • Stroke is the second most common cause of death and disability worldwide.[1,2,3] Globally, there were 80.1 million prevalent cases of stroke, with 84.4% ischemic stroke (IS).[4]

  • We recommend establishing a geriatric care system, where the Charlson Comorbidity Index (CCI) can be optimized in patient treatment

  • This study examines the length of stay (LoS)-predictive comorbidities, hospital costs-predictive comorbidities, and mortality‐predictive comorbidities in immobile IS patients; second, we used the Charlson Comorbidity Index (CCI) to assess the association between comorbidity and the LoS and hospitalization costs of stroke; third, we assessed the magnitude of excess IS mortality related to comorbidities

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Summary

Introduction

Stroke is the second most common cause of death and disability worldwide.[1,2,3] Globally, there were 80.1 million prevalent cases of stroke, with 84.4% ischemic stroke (IS).[4] In 2016, 5.5 million died of stroke, and IS accounted for 49.1% of all stroke deaths.[4] Stroke has been the leading cause of death in China in recent years,[5] with 1.8 million annual deaths, accounting for roughly 30% of worldwide stroke mortality.[5,6,7] Stroke imposes a significant economic burden on society, families and individuals.[8] In 2015, the annual cost for stroke care was estimated to RMB37.5 billion,[9] and 2017 hospitalization cost per IS patient was RMB10 131, while China’s per capita disposable income was only RMB25 974.10 With increasing life expectancy and population aging, the stroke burden will pose an even more serious healthcare and economic challenge to China.[11]

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