Abstract:
ObjectiveTo explore the predictive value of CHA2DS2-VASc score, baseline NIHSS score and neutrophil/lymphocyte ratio (NLR) for short-term prognosis in patients with non-valvular atrial fibrillation (NVAF) complicated with acute cerebral infarction.
MethodsThe patients with NVAF complicated with acute cerebral infarction hospitalized from 2018 to 2020 were continuously included, and the clinical data of all patients were completely collected.The patients were divided into poor prognosis group and good prognosis group according to the modified Rankin scale (mRS score) 90 days after the onset of the disease.The differences in relevant data between the two groups were compared.The independent influencing factors for short-term prognosis were analyzed using binary logistic regression.The predictive value of CHA2DS2-VASc score, baseline NIHSS score, NLR single index and the combination of the three for short-term prognosis of NVAF complicated with acute cerebral infarction was evaluated by ROC curve.
ResultsA total of 238 patients were included in this study, including 90 patients in the poor prognosis group and 148 patients in the good prognosis group.There were statistically significant differences between the two groups in age, gender, combined pulmonary infection rate, baseline NIHSS score, CHA2DS2-VASc score, NLR, uric acid, C-reactive protein, and fibrinogen (P < 0.05 to P < 0.01).The CHA2DS2-VASc score, baseline NIHSS score, and NLR were independent influencing factors for short-term prognosis in patients with NVAF complicated with acute cerebral infarction (P < 0.05 to P < 0.01).The area under the ROC curve for short-term poor prognosis of NVAF complicated with acute cerebral infarction predicted by three indicators and their combination were 0.816, 0.885, 0.726, and 0.932, respectively (P < 0.01).
ConclusionsThe CHA2DS2-VASc score, NIHSS score and NLR have a certain predictive value for the short-term poor prognosis of NVAF patients complicated with acute cerebral infarction, which can be used to assess the patient's early condition and further optimize treatment strategies.