Publications by authors named "Xi Ding Pan"
Article Synopsis
- Aneurysmal subarachnoid hemorrhage (aSAH) can lead to serious health consequences, especially in elderly patients, and this study aimed to create a dynamic nomogram to predict their 6-month outcomes after treatment.
- The researchers analyzed data from 209 elderly aSAH patients to identify factors influencing unfavorable outcomes, using statistical methods to develop and validate the nomogram.
- The resulting tool, which accurately predicts risks based on factors like age and health status, can help clinicians tailor interventions to improve patient care.
Article Synopsis
- * Researchers evaluated five different machine learning models and found similar predictive performance among them, significantly outperforming existing clinical prediction tools like the HIAT, THRIVE score, and NADE nomogram.
- * Out of 1,735 AIS patients studied, 31.2% experienced unfavorable outcomes, and incorporating specific patient data helped improve prediction accuracy, particularly with the Random Forest Classifier (RFC) model.
Background And Purpose: Mechanical thrombectomy (MT) is a standard care for most acute ischemic stroke (AIS) patients. For AIS patients underwent MT, predicting the patients at high risk of unfavorable outcome and adjusting therapeutic strategies accordingly can greatly improve patient outcomes. We aimed to develop and validate a nomogram for individualized prediction of Chinese AIS patients underwent MT.
View Article and Find Full Text PDFProfile and 1-Year Outcome of Ischemic Stroke in East China: Nanjing First Hospital Stroke Registry.
J Stroke Cerebrovasc Dis
January 2016
Background: The profile and 1-year outcome after acute ischemic stroke (AIS) in Nanjing, China, is uncertain. This study aimed to investigate the profile and outcome after 1-year follow-up of AIS in East China.
Methods: In a prospective cohort study, 2168 patients with AIS were recruited consecutively.