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验证 Meta-Analysis Global Group 在慢性心力衰竭风险评分中的应用,以预测中国队列患者的 1 年死亡率。

Validation of the Meta-Analysis Global Group in Chronic Heart Failure risk score for the prediction of 1-year mortality in a Chinese cohort.

机构信息

Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 3100016, China.

Department of Cardiology, CHC International Hospital, Cixi, Zhejiang 315310, China.

出版信息

Chin Med J (Engl). 2022 Dec 5;135(23):2829-2835. doi: 10.1097/CM9.0000000000002026.

Abstract

BACKGROUND

The Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score was developed in 2013 to predict survival in heart failure (HF) patients. However, it has yet to be validated in a Chinese population. Our study aimed to investigate the ability of the score to predict 1-year mortality in a Chinese population.

METHODS

Consecutive patients with HF were retrospectively selected from the inpatient electronic medical records of the cardiology department in a regional hospital in China. A total integer score was calculated for each enrolled patient based on the value of each risk factor in the MAGGIC scoring system. Each enrolled patient was followed for at least 1 year. The observational endpoint of this study was all-cause mortality. The predictive ability of the MAGGIC score was assessed by comparing observed and predicted mortality within 1 year.

RESULTS

Between January 2018 and December 2020, a total of 635 patients were included in the study: 57 (9.0%) of whom died within 1 year after discharge. The average age of all patients was 74.6 ± 11.2 years, 264 of them (41.6%) were male, and the average left ventricular ejection fraction was 50.7% ± 13.2%. The area under the receiver operating characteristic curve was 0.840 (95% confidence interval: 0.779, 0.901), which indicated a fair discriminatory ability of the score. The Hosmer-Lemeshow test result ( χ2  = 12.902, degree of freedom = 8, P   =  0.115) indicated that the MAGGIC score had good calibration. The decision curve analysis showed that the MAGGIC score yielded a good clinical net benefit and net reduction in interventions.

CONCLUSIONS

This validation of the MAGGIC score showed that it has a good ability to predict 1-year mortality in Chinese patients with HF after discharge. Due to regional and inter-hospital differences, external validation studies need to be further confirmed in other centers.

摘要

背景

Meta-Analysis Global Group in Chronic Heart Failure(MAGGIC)风险评分于 2013 年开发,用于预测心力衰竭(HF)患者的生存率。然而,它尚未在中国人群中得到验证。我们的研究旨在探讨该评分在中国人群中预测 1 年死亡率的能力。

方法

连续入选中国某地区医院心内科住院电子病历中的 HF 患者。根据 MAGGIC 评分系统中每个危险因素的值,为每位入组患者计算总整数评分。每位入组患者至少随访 1 年。本研究的观察终点为全因死亡率。通过比较 1 年内观察到的和预测到的死亡率来评估 MAGGIC 评分的预测能力。

结果

2018 年 1 月至 2020 年 12 月,共纳入 635 例患者:出院后 1 年内死亡 57 例(9.0%)。所有患者的平均年龄为 74.6±11.2 岁,264 例(41.6%)为男性,平均左心室射血分数为 50.7%±13.2%。受试者工作特征曲线下面积为 0.840(95%置信区间:0.779,0.901),表明评分具有良好的区分能力。Hosmer-Lemeshow 检验结果( χ2  = 12.902,自由度 = 8,P   =  0.115)表明 MAGGIC 评分具有良好的校准度。决策曲线分析显示,MAGGIC 评分可带来良好的临床净获益和干预净减少。

结论

该 MAGGIC 评分的验证表明,它在中国 HF 出院患者中具有良好的预测 1 年死亡率的能力。由于区域和医院间的差异,需要在其他中心进一步进行外部验证研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15ee/9945307/211593667846/cm9-135-2829-g001.jpg

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