ArticleWorld journal of clinical cases2024
Identification of risk factors and construction of a nomogram predictive model for post-stroke infection in patients with acute ischemic stroke.
Article in World journal of clinical cases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Prevalence and Factors Associated with Infections After Acute Ischemic Stroke: A Single-Center Retrospective Study over Five Years.Epidemiologia (Basel, Switzerland) · 2025Article
- Development and validation of a nomogram for predicting CRBSI in hemodialysis: a retrospective cohort study.BMC nephrology · 2025Article
- Alterations in gut microbiota and metabolomic profiles in acute stroke: insights into brain-gut axis dysregulation.Frontiers in microbiology · 2025Article
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Authors and funding
7 authors.
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Abstract
backgroundPost-stroke infection is the most common complication of stroke and poses a huge threat to patients. In addition to prolonging the hospitalization time and increasing the medical burden, post-stroke infection also significantly increases the risk of disease and death. Clarifying the risk factors for post-stroke infection in patients with acute ischemic stroke (AIS) is of great significance. It can guide clinical practice to perform corresponding prevention and control work early, minimizing the risk of stroke-related infections and ensuring favorable disease outcomes.
aimTo explore the risk factors for post-stroke infection in patients with AIS and to construct a nomogram predictive model.
methodsThe clinical data of 206 patients with AIS admitted to our hospital between April 2020 and April 2023 were retrospectively collected. Baseline data and post-stroke infection status of all study subjects were assessed, and the risk factors for post-stroke infection in patients with AIS were analyzed.
resultsTotally, 48 patients with AIS developed stroke, with an infection rate of 23.3%. Age, diabetes, disturbance of consciousness, high National Institutes of Health Stroke Scale (NIHSS) score at admission, invasive operation, and chronic obstructive pulmonary disease (COPD) were risk factors for post-stroke infection in patients with AIS (
conclusionAge, diabetes, disturbance of consciousness, NIHSS score at admission, invasive surgery, and COPD are risk factors for post-stroke infection following AIS. The nomogram prediction model established based on these factors exhibits high discrimination and accuracy.
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