Hangzhou Medical College, Hangzhou, 310053, China.
The Second Affiliated Hospital, School of Medicine, Zhejiang University, 88 Jiefang Road, Hangzhou, 310009, China.
BMC Neurol. 2020 Jul 8;20(1):272. doi: 10.1186/s12883-020-01833-x.
Cerebral-cardiac syndrome, newly developed cardiac damage manifestations subsequent to cerebral injuries, is a common complication of stroke and leads to increased morbidity and mortality. The current study is aimed to develop a risk prediction scale to stratify high-risk population of CCS among ischemic stroke patients.
The study included 410 cases from four tertiary medical centers from June 2018 to April 2019. The risk prediction model was established via logistic regression from the derivation cohort including 250 cases admitted between June 2018 and December 2018. Another 160 cases admitted from January 2019 to April 2019 were included as the validation cohort for external validation. The performance of the model was determined by the area under curve of the receiver operating characteristic curve. A rating scale was developed based on the magnitude of the logistic regression coefficient.
The prevalence of CCS was 55.2% in our study. The predictive model derived from the derivation cohort showed good calibration by Hosmer-Lemeshow test (P = 0.492), and showed sensitivity of 0.935, specificity of 0.720, and Youden index of 0.655. The C-statistic for derivation and validation cohort were 0.888 and 0.813, respectively. Our PANSCAN score (0 to 10 points) was then established, which consists of the following independent risk factors: PT(12 s-14 s = 0; otherwise = 1), APTT(30s-45s = 0, otherwise = 1), Neutrophils(50-70% = 0; otherwise = 1), Sex(female = 1), Carotid artery stenosis(normal or mild = 0; moderate to severe = 2), Age(≥65 years = 1), NIHSS score(1 to 4 = 2; ≥5 = 3). Patients scored 3 or more points were stratified as high risk.
The risk prediction model showed satisfactory prediction effects. The PANSCAN scale provides convenient reference for preventative treatment and early management for high-risk patients.
The study was retrospectively registered in Chinese Trial Registry. The date of registration is April 17, 2019.
ChiCTR1900022587 .
脑心综合征是指脑损伤后出现的新的心脏损伤表现,是中风的常见并发症,可导致发病率和死亡率增加。本研究旨在为缺血性中风患者中的 CCS 高危人群建立风险预测评分。
本研究纳入了 2018 年 6 月至 2019 年 4 月来自四家三级医疗中心的 410 例患者。风险预测模型通过纳入 2018 年 6 月至 12 月入院的 250 例患者的逻辑回归从推导队列中建立。另将 2019 年 1 月至 4 月入院的 160 例患者纳入外部验证的验证队列。通过接受者操作特征曲线下面积来确定模型的性能。基于逻辑回归系数的大小开发了评分量表。
在我们的研究中,CCS 的患病率为 55.2%。来自推导队列的预测模型通过 Hosmer-Lemeshow 检验显示出良好的校准(P=0.492),其敏感性为 0.935,特异性为 0.720,约登指数为 0.655。推导和验证队列的 C 统计量分别为 0.888 和 0.813。然后建立了我们的 PANSCAN 评分(0 至 10 分),其中包括以下独立危险因素:PT(12 秒至 14 秒=0;否则=1)、APTT(30 秒至 45 秒=0,否则=1)、中性粒细胞(50%至 70%=0;否则=1)、性别(女性=1)、颈动脉狭窄(正常或轻度=0;中度至重度=2)、年龄(≥65 岁=1)、NIHSS 评分(1 至 4 分=2;≥5 分=3)。评分≥3 分的患者被归类为高危。
该风险预测模型显示出令人满意的预测效果。PANSCAN 量表为高危患者的预防性治疗和早期管理提供了方便的参考。
本研究在中国临床试验注册中心进行了回顾性注册。注册日期为 2019 年 4 月 17 日。
ChiCTR1900022587