In:
Journal of Clinical and Medical Case Reports, Science Repository OU
Abstract:
Purpose: We aimed to develop a nomogram for individualized prediction of neurological impairment for
acute ischemic stroke (AIS) patients with mechanical thrombectomy (MT). Methods: We conducted a multicenter prospective study in Chinese AIS patients with MT from January
2014 to December 2018. The clinical outcome was the neurological impairment at discharge. The nomogram was generated by multivariate logistic regression analysis for predicting the probability of
neurological impairment using a forward stepwise method that included age, NIHSS (National Institutes of Health Stroke Scale) score on admission, fasting blood glucose (FBG), creatinine, clinical and demographic
characteristics as pre-established variables. We assessed the discriminative performance by using the area under the receiver-operating characteristic curve (AUC-ROC) and calibration of neurological impairment
prediction model by using the Hosmer-Lemeshow test. Results: The study included 238 patients, NIHSS score on admission (OR: 1.148, p 〈 0.0001), Age (OR:
1.028, p = 0.031), FBG (OR: 1.147, p = 0.025) and OTT (OR: 1.002, p=0.013) remained independent predictors of neurological impairment to develop the NAFO nomogram in Chinese AIS patients with MT.
The AUC-ROC value of the NAFO nomogram was 0.792 (95% CI: 0.733 – 0.851) in the cohort. Calibration was good (p = 0.459 for the Hosmer-Lemeshow test).
Conclusions: The NAFO nomogram is the first nomogram developed and validated in Chinese AIS patients with MT and it may be used to predict the neurological impairment for these patients.
Type of Medium:
Online Resource
DOI:
10.31487/j.JCMCR.2020.01.02
Language:
Unknown
Publisher:
Science Repository OU
Publication Date:
2020
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