ArticleBMC neurology2019
A NADE nomogram to predict the probability of 6-month unfavorable outcome in Chinese patients with ischemic stroke.
Article in BMC neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- A novel nomogram to predict mortality in patients with stroke: a survival analysis based on the MIMIC-III clinical database.BMC medical informatics and decision making · 2022Trial
- Construction and Validation of a Risk Prediction Model Incorporating Temporal Muscle Thickness for Adverse Outcome in Acute Ischemic Stroke Patients.Journal of central nervous system disease · 2026Article
- Development of a PMGDNI model to predict the probability of three-month unfavorable outcome acute ischemic stroke after endovascular treatment: a cohort study.BMC neurology · 2024Article
- Association of cognitive reserve with stroke outcome: a protocol for a systematic review.BMJ open · 2022Article
- Predicting 10-year stroke mortality: development and validation of a nomogram.Acta neurologica Belgica · 2022Article
- Nomogram to predict 3-month unfavorable outcome after thrombectomy for stroke.BMC neurology · 2022Article
- Developing a Nomogram to Predict the Probability of Subsequent Vascular Events at 6-Month in Chinese Patients with Minor Ischemic Stroke.Therapeutics and clinical risk management · 2021Article
- Establishment of Clinical Prediction Model Based on the Study of Risk Factors of Stroke in Patients With Type 2 Diabetes Mellitus.Frontiers in endocrinology · 2020Article
- Predicting 6-Month Unfavorable Outcome of Acute Ischemic Stroke Using Machine Learning.Frontiers in neurology · 2020Article
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Authors and funding
15 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundEarly prediction of unfavorable outcome after ischemic stroke is of great significance to the clinical and therapeutic management. A nomogram is a better visual tool than earlier models and prognostic scores to predict clinical outcomes, which incorporates different factors to develop a graphic continuous scoring system and calculates accurately the risk probability of poor outcome entirely based on individual characteristics. However, to date, no nomogram models have been found to predict the probability of 6-month poor outcome after ischemic stroke. We aimed to develop and validate a nomogram for individualized prediction of the probability of 6-month unfavorable outcome in Chinese patients with ischemic stroke.
methodsBased on the retrospective stroke registry, a single-center study which included 499 patients from May, 2013 to May, 2018 was conducted in Nanjing First Hospital (China) for ischemic stroke within 12 h of symptoms onset. The main outcome measure was 6-month unfavorable outcome (mRS > 2). To generate the nomogram, NIHSS score on admission, Age, previous Diabetes mellitus and crEatinine (NADE) were integrated into the model. We assessed the discriminative performance by using the area under the curve (AUC) of receiver-operating characteristic (ROC) and calibration of risk prediction model by using the Hosmer-Lemeshow test.
resultsA visual NADE nomogram was constructed that NIHSS score on admission (OR: 1.190, 95%CI: 1.125-1.258), age (OR: 1.068, 95%CI: 1.045-1.090), previous diabetes mellitus (OR: 1.995, 95%CI: 1.236-3.221) and creatinine (OR: 1.010, 95%CI: 1.002-1.018) were found to be significant predictors of 6-month unfavorable outcome after acute ischemic stroke in Chinese patients. The AUC-ROC of nomogram was 0.791. Calibration was good (p = 0.4982 for the Hosmer-Lemeshow test).
conclusionThe NADE is the first nomogram developed and validated in Chinese ischemic stroke patients to provide an individual, visual and precise prediction of the risk probability of 6-month unfavorable outcome.
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