Construction and Evaluation of A Nomogram Prediction Model for Cognitive Impairment Based on Blood eGFR Levels and Neutrophil/Lymphocyte Ratio in Patients with Cerebral Small Vessel Disease
10.3969/j.issn.1671-7414.2024.05.016
- VernacularTitle:脑小血管病患者基于血液eGFR和NLR构建发生认知功能障碍的列线图预测模型及评价
- Author:
Xiaomin GUO
1
;
Xiangyu LEI
;
Zongwei LIU
;
Weishuai YUAN
;
Aiqin WEI
;
Na ZHU
Author Information
1. 陕西省人民医院神经内科,西安 710068
- Keywords:
cerebral small vessel disease;
cognitive impairment;
neutrophil/lymphocyte ratio;
estimated glomerular filtration rate;
clinical prediction modeling
- From:
Journal of Modern Laboratory Medicine
2024;39(5):85-91
- CountryChina
- Language:Chinese
-
Abstract:
Objective To identify the independent risk factors of cognitive impairment(CI)in patients with cerebral small vessel disease(CSVD)and construct a clinical prediction model.Methods Patients with CSVD who were hospitalized in the First Affiliated Hospital of Xi'an Jiaotong University from January 1,2017 to December 31,2022 were retrospectively enrolled,and were divided into a group with cognitive impairment(CSVD-CI group,n=83)and a group without cognitive impairment(CSVD-NCI group,n=164)according to the mini-mental state examination(MMSE).The influence factors of cognitive impairment were screened by logistic regression.The clinical prediction model of the nomogram was further developed based on the screened factors,and the efficacy of the model was tested.Results Compared with patients in the CSVD-NCI group,patients in the CSVD-CI group had higher neutrophil/lymphocyte ratio(NLR)(3.03±2.56 vs 2.33±1.34)and(1.58±0.27 vs 1.49±0.28),and a lower estimated glomerular filtration rate[eGFR:88.59±16.59 ml/(min·1.73m2)vs 94.02±12.45 ml/(min·1.73m2)],with significant differences(t=2.282,2.426,2.689,all P＜0.05).Compared with patients in the CSVD-NCI group,patients in the CSVD-CI group had lower proportion of males(43.4％vs 67.7％)and level of education(2.13±1.50 vs 2.86),and the differences were significant(x2=13.516,t=4.283,all P＜0.05).NLR(OR:1.20,95％CI:1.01～1.43),sex(OR:0.43,95％CI:0.24～0.79),eGFR(OR:0.97,95％CI:0.95～0.99)and education degree(OR:0.72,95％CI:0.57～0.91)were the impact factors for cognitive impairment in CSVD patients.The nomogram prediction model based on these four factors had good efficacy in predicting cognitive impairment(AUC=0.704,95％CI:0.633～0.766).Conclusion The nomogram constructed in this study has moderate accuracy and clinical utility in predicting the occurrence of cognitive impairment in CSVD patients.
