and spring. 7 Another study from Japan found no significant correlation between the 1-year clinical outcomes of ischemic stroke and seasonal changes. 8 In a recent study in Saudi Arabia, Alghamdi et al found that weather or seasonal variations had no effect on stroke incidence or outcomes. 9 However, previous studies have only covered short periods of 2-5 years, so in the present study we studied the relationship of season and patterns of neurological severity and outcomes of acute ischemic stroke in a hospital-based study with 9-year cohort data. The findings of this study can provide evidence for the formulation of effective strategies to deal with the adverse consequences of ischemic stroke. Methods Study PopulationThe study population was patients admitted to the Stroke Unit of the Second Hospital of Tianjin Medical University W orldwide, stroke is a leading cause of mortality and disability, 1 and China has a high prevalence and heavy burden of stroke, with ischemic stroke as the most common type, accounting for up to 70%. 2 In addition to the well-known common risk factors, including hypertension, diabetes mellitus, overweight, atrial fibrillation (AF) and smoking, 3 the relationship between meteorological factors and ischemic stroke has attracted the attention of researchers in recent years. 4 Several epidemiological and experimental studies investigated the strong influence of seasonality on stroke incidence, and most found higher stroke incidence during winter and spring and lower incidence during summer and autumn. 5,6In addition, weather changes may lead to severe stroke or worsen the outcome of stroke, which is a public health problem of concern. However, the results of clinical studies differ, and some are even contradictory. A recent study in the USA demonstrated that worse outcomes of ischemic stroke were more frequent in cold seasons including winter
Background: To investigate the independent risk factors of poor short-term outcomes in patients with lung cancer-associated acute ischemic stroke (LCAIS) and use them to develop an index of prognosis LCAIS (pLCAIS) which could help clinicians identify patients at high risk for poor short-term outcomes. Methods: We retrospectively enrolled patients with lung cancer-associated acute ischemic stroke and employed the 90D modified Rankin cale (mRS) to divide them into two groups: good outcomes (score 0-2) and poor outcomes (score 3-6). Propensity score matching (PSM) was used to remove confounding factors, and multivariable logistic regression analysis was used to analyze the independent risk factors of pLCAIS. The receiver operating characteristic (ROC) and area under the ROC curve (AUC) developed a multiple model combining the independent risk factors of pLCAIS. Results: A total of 172 patients were included: 67 (38.9%) with good outcomes and 105 (61.1%) with poor outcomes. After using PSM, there were 33 cases in each group. The results showed that patients with poor short-term outcomes were significantly higher in Ddimer (OR = 1.001, 95% CI: 1.000-1.002, p = 0.048), CRP (OR = 1.078, 95% CI: 1.008-1.153, p = 0.028), and neutrophil count (OR = 14.673, 95% CI: 1.802-19.500, p = 0.012). The ROC curve, used to assess the diagnostic ability of binary classifiers, showed that the product of these three independent risk factors showed high sensitivity and specificity. Conclusion: In this study, we have identified three independent risk factors associated with poor short-term outcomes in pLCAIS: higher NC, CRP, and D-dimer levels. These findings may be helpful for clinicians in identifying poor short-term outcomes patients.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.