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心脏骤停患者中白蛋白校正钙与预后的关联:一项基于MIMIC-IV数据库的回顾性研究。

The association between albumin-corrected calcium and prognosis in patients with cardiac arrest: a retrospective study based on the MIMIC-IV database.

作者信息

Zhong Lei, Lu Jianhong, Sun Xu, Sun Yuechen

机构信息

Department of Intensive Care Unit, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, 313000, China.

The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, 313000, China.

出版信息

Eur J Med Res. 2024 Apr 24;29(1):251. doi: 10.1186/s40001-024-01841-4.

Abstract

BACKGROUND

Cardiac arrest (CA) is one of the leading causes of death globally, characterized by high incidence and mortality. It is of particular significance to determine the prognosis of patients with CA early and accurately. Therefore, we aim to investigate the correlation between albumin-corrected calcium (ACC) and the prognosis in patients diagnosed with CA.

METHODS

We retrospectively collected data from medical information mart for intensive care IV database. Patients were divided into two groups (survival and non-survival groups), according to the 90-day prognosis. In the Restricted cubic spline (RCS) analysis, the cut-off values (8.86 and 10.32) were obtained to categorize patients into three groups: low ACC group (< 8.86), moderate ACC group (8.86-10.32), and high ACC group (> 10.32). The least absolute shrinkage and selection operator with a ten-fold cross-validation regression analysis was performed to identify variables linked to the mortality. The inverse probability treatment weighting (IPTW) was used to address the confounding factors, and a weighted cohort was generated. RCS, Kaplan-Meier curve, and Cox regression analyses were used to explore the relationship between ACC and the mortality. Sensitivity analysis was employed to validate the stability of the results.

RESULTS

Cut-off values for ACC of 8.86 and 10.32 were determined. RCS analyses showed that there was an overall non-linear trend relationship between ACC and the risk of 90-day and 360-day mortalities. After IPTW adjustment, compared to the moderate ACC group, the 90-day and 360-day mortalities in the high ACC group were higher (P < 0.05). The Cox analyses before and after IPTW adjustment showed that both low ACC and high ACC group were independent risk factors for 90-day and 360-day all-cause mortality in patients with CA (P < 0.05). The results obtained from sensitivity analyses indicated the stability of the findings. The Kaplan-Meier survival curves indicated that 90- and 360-day cumulative survival rates in the low ACC and high ACC groups were lower than that in the moderate ACC group (χ = 11.350, P = 0.003; χ = 14.110, P = 0.001).

CONCLUSION

Both low ACC (< 8.86) and high ACC groups (> 10.32) were independent risk factors for 90-day and 360-day all-cause mortality in patients with CA (P < 0.05). For those CA patients with high and low ACC, it deserved the attention of clinicians.

摘要

背景

心脏骤停(CA)是全球主要死因之一,具有高发病率和死亡率的特点。早期准确判定CA患者的预后具有特别重要的意义。因此,我们旨在研究白蛋白校正钙(ACC)与确诊为CA的患者预后之间的相关性。

方法

我们回顾性收集了重症监护IV数据库的医学信息集市中的数据。根据90天预后将患者分为两组(存活组和非存活组)。在受限立方样条(RCS)分析中,获得截断值(8.86和10.32),将患者分为三组:低ACC组(<8.86)、中ACC组(8.86 - 10.32)和高ACC组(>10.32)。进行具有十倍交叉验证回归分析的最小绝对收缩和选择算子,以识别与死亡率相关的变量。采用逆概率处理加权(IPTW)来处理混杂因素,并生成加权队列。使用RCS、Kaplan-Meier曲线和Cox回归分析来探讨ACC与死亡率之间的关系。采用敏感性分析来验证结果的稳定性。

结果

确定了ACC的截断值为8.86和10.32。RCS分析表明,ACC与90天和360天死亡风险之间总体存在非线性趋势关系。经过IPTW调整后,与中ACC组相比,高ACC组的90天和360天死亡率更高(P<0.05)。IPTW调整前后的Cox分析表明,低ACC组和高ACC组均是CA患者90天和360天全因死亡率的独立危险因素(P<0.05)。敏感性分析结果表明了研究结果的稳定性。Kaplan-Meier生存曲线表明,低ACC组和高ACC组的90天和360天累积生存率低于中ACC组(χ=11.350,P=0.003;χ=14.110,P=0.001)。

结论

低ACC组(<8.86)和高ACC组(>10.32)均是CA患者90天和360天全因死亡率的独立危险因素(P<0.05)。对于ACC高和低的CA患者,值得临床医生关注。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28c4/11044335/7571b24cd515/40001_2024_1841_Fig1_HTML.jpg

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