The relationship between heart rate variability, severity, and prognosis in patients with acute cerebral infarction
10.3760/cma.j.cn431274-20231013-00370
- VernacularTitle:急性脑梗死患者心率变异性与病情严重程度及预后的关系
- Author:
Chengliang GUO
1
;
Cuiyun ZHANG
;
Jie LI
;
Rui YAO
;
Ling CHEN
;
Yue HU
Author Information
1. 秦皇岛市工人医院心电图室，秦皇岛 066200
- Keywords:
Acute cerebral infarction;
Heart rate variability;
The severity of the illness;
Prognosis
- From:
Journal of Chinese Physician
2024;26(9):1369-1373
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the relationship between heart rate variability, severity, and prognosis in patients with acute cerebral infarction (ACI).Methods:A prospective study was conducted on 80 patients with acute cerebral infarction (ACI) admitted to Qinhuangdao Workers′ Hospital from February 2021 to March 2023. The severity of ACI patients was evaluated based on their National Institutes of Health Stroke Scale (NIHSS) scores, and they were divided into mild group (26 cases, NIHSS scores 0-15), moderate group (32 cases, NIHSS scores 16-30), and severe group (22 cases, NIHSS scores 31-45); And 30 healthy individuals who underwent physical examinations during the same period were selected as the control group. The improved Rankin Scale (MRS) was used to evaluate the prognosis of patients, who were divided into a good prognosis group (59 cases) and a poor prognosis group (21 cases) based on the scoring results. All patients underwent dynamic electrocardiogram examination, and the heart rate variability parameters of each group were compared [standard deviation of R-R interval for all sinus beats at 24 hours (SDNN), mean standard deviation of R-R interval for 5 consecutive minutes at 24 hours (SDNN Index), standard deviation of R-R interval mean every 5 minutes (SDANN), root mean square of all adjacent R-R interval differences (rMSSD), and the proportion of adjacent NN interval differences greater than 50 ms (PNN50%)]. The predictive value of heart rate variability parameters on the severity and prognosis of ACI patients was analyzed using receiver operating characteristic (ROC) curves. Logistic regression analysis was used to identify the risk factors for the severity and prognosis of ACI patients.Results:The SDNN, SDANN, SDNN Index, rMSSD, and PNN50% of the mild, moderate, and severe groups were significantly lower than those of the control group ( F=59.382, 11.859, 12.376, 11.699, 47.703, all P<0.01), and the severe group was less than the moderate group and less than the mild group (all P<0.05). The SDNN, SDANN, SDNN Index, rMSSD, and PNN50% in the poor prognosis group were lower than those in the good prognosis group ( t=4.536, 4.181, 5.091, 4.384, 2.851, all P<0.01). The results of logistic regression analysis showed that heart rate variability parameter was an independent influencing factor for the severity and poor prognosis of ACI patients (all P<0.01). The area under the curve for the combined diagnosis of the severity of ACI patients using SDNN, SDANN, SDNN Index, rMSSD, and PNN50% was 0.950, and the area under the curve for the combined prediction of ACI patients′ prognosis was 0.970. Conclusions:The heart rate variability parameter is an independent influencing factor on the severity and prognosis of ACI patients, and its predictive power for the severity and prognosis of ACI patients is high. It can be used as an effective indicator for evaluating the severity and prognosis of ACI patients.
