Stroke-associated infection in patients with co-morbid diabetes mellitus is associated with in-hospital mortality
First author:Minping Wei
Corresponding author:Jian Xia
2022-12-01
Journal:Frontiers in Aging Neuroscience
Publication type: Article
IF(IF): 5.702
PMID: 36533168 Link To Pubmed Full text Download
The study has shown that the incidence of infection during hospitalization for ischemic stroke patients was up to 9.6%[1]. Post-stroke infection is not only associated with an increased mortality and longer hospital stay, but also an independent risk factor for early stroke recurrence[1-3]. In addition, according to the China Stroke Statistics 2019, about 23.5% of ischemic stroke patients had diabetes mellitus [4]. The diabetes mellitus is an independent risk factor of ischemic stroke [5]. The stroke patients with diabetes mellitus tend to have a worse prognosis [6, 7]. However, there is no epidemiological data on the effects of post-stroke infection in patients with diabetes mellitus and ischemic stroke. Therefore, the study aims to determine the effects of post-stroke infection on early functional outcome and in-hospital mortality in patients with ischemic stroke and diabetes mellitus. The results will provide clinical evidences for necessity of strengthening nursing management, preventing infection and early treatment of infection in patients with ischemic stroke and diabetes mellitus.
A retrospective cohort method was used in this research. Consecutive in-hospital data were extracted from the China Stroke Center Alliance (CSCA) database from August 2015 to July 2019. Early poor functional outcome was defined as an Modified Rankin Scale (mRS) score of 3 or greater at discharge. Patients’ early poor functional outcomes and in-hospital mortality were analyzed and compared between ischemic stroke patients with diabetes mellitus with or without infection (pneumonia or urinary tract infection) during hospitalization. Associations of infection with early poor functional outcome and in-hospital mortality were analyzed. Logistic regression models were used to identify whether the infection is the independent predictors for early poor functional outcome and in-hospital mortality.
Infection is an independent risk factor of in-hospital mortality for patients with AIS and DM, and those patients require strengthening nursing management to prevent infection.