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基于 MIMIC-III 数据库的估算血浆容量状态(ePVS)对急性心肌梗死院内死亡率的预测分析。

Estimated plasma volume status (ePVS) is a predictor for acute myocardial infarction in-hospital mortality: analysis based on MIMIC-III database.

机构信息

Zhejiang Chinese Medical University, Hangzhou, 310000, Zhejiang, China.

Lishui Central Hospital, The Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, 323000, Zhejiang, China.

出版信息

BMC Cardiovasc Disord. 2021 Nov 8;21(1):530. doi: 10.1186/s12872-021-02338-2.

Abstract

BACKGROUND

Estimated plasma volume status (ePVS) has been reported that associated with poor prognosis in heart failure patients. However, no researchinvestigated the association of ePVS and prognosis in patients with acute myocardial infarction (AMI). Therefore, we aimed to determine the association between ePVS and in-hospital mortality in AMI patients.

METHODS AND RESULTS

We extracted AMI patients data from MIMIC-III database. A generalized additive model and logistic regression model were used to demonstrate the association between ePVS levels and in-hospital mortality in AMI patients. Kaplan-Meier survival analysis was used to pooled the in-hospital mortality between the various group. ROC curve analysis were used to assessed the discrimination of ePVS for predicting in-hospital mortality. 1534 eligible subjects (1004 males and 530 females) with an average age of 67.36 ± 0.36 years old were included in our study finally. 136 patients (73 males and 63 females) died in hospital, with the prevalence of in-hospital mortality was 8.9%. The result of the Kaplan-Meier analysis showed that the high-ePVS group (ePVS ≥ 5.28 mL/g) had significant lower survival possibility in-hospital admission compared with the low-ePVS group (ePVS < 5.28 mL/g). In the unadjusted model, high-level of ePVS was associated with higher OR (1.09; 95% CI 1.06-1.12; P < 0.001) compared with low-level of ePVS. After adjusted the vital signs data, laboratory data, and treatment, high-level of ePVS were also associated with increased OR of in-hospital mortality, 1.06 (95% CI 1.03-1.09; P < 0.001), 1.05 (95% CI 1.01-1.08; P = 0.009), 1.04 (95% CI 1.01-1.07; P = 0.023), respectively. The ROC curve indicated that ePVS has acceptable discrimination for predicting in-hospital mortality. The AUC value was found to be 0.667 (95% CI 0.653-0.681).

CONCLUSION

Higher ePVS values, calculated simply from Duarte's formula (based on hemoglobin/hematocrit) was associated with poor prognosis in AMI patients. EPVS is a predictor for predicting in-hospital mortality of AMI, and could help refine risk stratification.

摘要

背景

据报道,估计的血浆体积状态(ePVS)与心力衰竭患者的预后不良有关。然而,尚无研究调查 ePVS 与急性心肌梗死(AMI)患者预后之间的关系。因此,我们旨在确定 ePVS 与 AMI 患者住院死亡率之间的关系。

方法和结果

我们从 MIMIC-III 数据库中提取 AMI 患者数据。使用广义加性模型和逻辑回归模型来证明 ePVS 水平与 AMI 患者住院死亡率之间的关联。使用 Kaplan-Meier 生存分析来汇总不同组之间的住院死亡率。ROC 曲线分析用于评估 ePVS 预测住院死亡率的区分能力。最终纳入了 1534 名符合条件的受试者(男性 1004 名,女性 530 名),平均年龄为 67.36±0.36 岁。共有 136 名患者(男性 73 名,女性 63 名)住院期间死亡,住院死亡率为 8.9%。Kaplan-Meier 分析结果表明,与低 ePVS 组(ePVS<5.28 mL/g)相比,高 ePVS 组(ePVS≥5.28 mL/g)入院时的生存可能性明显降低。在未调整模型中,高水平的 ePVS 与更高的 OR(1.09;95%CI 1.06-1.12;P<0.001)相关。在调整生命体征数据、实验室数据和治疗后,高水平的 ePVS 与住院死亡率的 OR 增加也相关,分别为 1.06(95%CI 1.03-1.09;P<0.001)、1.05(95%CI 1.01-1.08;P=0.009)、1.04(95%CI 1.01-1.07;P=0.023)。ROC 曲线表明,ePVS 对预测住院死亡率具有可接受的区分能力。发现 AUC 值为 0.667(95%CI 0.653-0.681)。

结论

根据 Duarte 公式(基于血红蛋白/血细胞比容)简单计算出的较高 ePVS 值与 AMI 患者的不良预后相关。EPVS 是预测 AMI 住院死亡率的指标,可帮助进行危险分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36ac/8573972/b1cfbeded3ca/12872_2021_2338_Fig1_HTML.jpg

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