Objective To investigate the factors influencing the prognosis of patients with cerebral infarction (CI) and nursing risk management measures.
Methods A retrospective analysis was conducted in 80 CI patients as study subjects. All patients underwent risk management, and their prognosis was assessed, with 58 patients in good prognosis group and 22 patients in poor prognosis group. General patient data and disease-related characteristics were collected, and differences were analyzed using the Logistic regression equation to identify factors influencing patient prognosis. A receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of these factors for poor prognosis.
Results There were statistically significant differences between the poor prognosis group and the good prognosis group in terms of age, baseline National Institutes of Health Stroke Scale (NIHSS) score, and the presence of comorbid hypertension (P < 0.05). Logistic regression analysis revealed that these indicators were all influencing factors for poor prognosis in patients, with area under the curve values ranging from 0.676 to 0.723, indicating high sensitivity and specificity.
Conclusion Multiple factors, such as age, baseline NIHSS score, and comorbid hypertension, influence poor prognosis in CI patients and have certain predictive value for poor prognosis.
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