Abstract
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 D-dimer (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.