The impact of insurance status on in-hospital mortality in patients with hyperglycemic crisis: A propensity score matching analysis.

Abstract

This study was designed to determine the associations between insurance status and clinical outcomes among patients with hyperglycemic crisis. Overall, 1,668 patients with hyperglycemic crisis were recruited from the Chongqing Medical University Medical Data Science Academy's big data platform. In-hospital mortality, length of stay, and complications (i.e., hypoglycemia, hypokalemia, pulmonary infection, multiple systemic organ failure, acute kidney injury, and deep venous thrombosis) were assessed. Propensity score matching analysis was used to reduce the confounding bias, and univariate and multivariate logistic regression were used to estimate the effect of insurance status on mortality in patients with hyperglycemic crisis. After matching one uninsured patient to two insured patients with a caliper of 0.02, the uninsured group suffered a higher burden of in-hospital mortality than the insured group (16.9% vs. 9.8%); the insured status (odds ratio [OR] = 0.216, 95% confidence interval [CI]: 0.079-0.587) was a potential protect factor for in-hospital mortality of patients with hyperglycemic crisis in the multivariate logistic regression analysis. Insurance status is associated with the outcomes of hospitalization for hyperglycemic crisis; uninsured patients with hyperglycemic crisis face a higher risk of mortality in China. This article is protected by copyright. All rights reserved.