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低碳酸血症是急性心力衰竭住院患者死亡的独立预测因子。

Hypocapnia is an independent predictor of in-hospital mortality in acute heart failure.

机构信息

Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China.

出版信息

ESC Heart Fail. 2023 Apr;10(2):1385-1400. doi: 10.1002/ehf2.14306. Epub 2023 Feb 6.

Abstract

AIMS

Acute heart failure (AHF) poses a major threat to hospitalized patients for its high mortality rate and serious complications. The aim of this study is to determine whether hypocapnia [defined as the partial pressure of arterial carbon dioxide (PaCO ) below 35 mmHg] on admission could be associated with in-hospital all-cause mortality in AHF.

METHODS AND RESULTS

A total of 676 patients treated in the coronary care unit for AHF were retrospectively analysed, and the study endpoint was in-hospital all-cause mortality. The 1:1 propensity score matching (PSM) analysis, Kaplan-Meier curve, and Cox regression model were used to explore the association between hypocapnia and in-hospital all-cause mortality in AHF. Receiver operating characteristic (ROC) curve and Delong's test were used to assess the performance of hypocapnia in predicting in-hospital all-cause mortality in AHF. The study cohort included 464 (68.6%) males and 212 (31.4%) females, and the median age was 66 years (interquartile range 56-74 years). Ninety-eight (14.5%) patients died during hospitalization and presented more hypocapnia than survivors (76.5% vs. 45.5%, P < 0.001). A 1:1 PSM was performed between hypocapnic and non-hypocapnic patients, with 264 individuals in each of the two groups after matching. Compared with non-hypocapnic patients, in-hospital mortality was significantly higher in hypocapnic patients both before (22.2% vs. 6.8%, P < 0.001) and after (20.8% vs. 8.7%, P < 0.001) PSM. Kaplan-Meier curve showed a significantly higher probability of in-hospital death in patients with hypocapnia before and after PSM (both P < 0.001 for the log-rank test). Multivariate Cox regression analysis showed that hypocapnia was an independent predictor of AHF mortality both before [hazard ratio (HR) 2.22; 95% confidence interval (CI) 1.23-3.98; P = 0.008] and after (HR 2.19; 95% CI 1.18-4.07; P = 0.013) PSM. Delong's test showed that the area under the ROC curve was improved after adding hypocapnia into the model (0.872, 95% CI 0.839-0.901 vs. 0.855, 95% CI 0.820-0.886, P = 0.028). PaCO was correlated with the estimated glomerular filtration rate (r = 0.20, P = 0.001), left ventricular ejection fraction (r = 0.13, P < 0.001), B-type natriuretic peptide (r = -0.28, P < 0.001), and lactate (r = -0.15, P < 0.001). Kaplan-Meier curve of PaCO tertiles and multivariate Cox regression analysis showed that the lowest PaCO tertile was associated with increased risk of in-hospital mortality in AHF (all P < 0.05).

CONCLUSIONS

Hypocapnia is an independent predictor of in-hospital mortality for AHF.

摘要

目的

急性心力衰竭(AHF)具有较高的死亡率和严重的并发症,对住院患者构成重大威胁。本研究旨在确定入院时低碳酸血症[定义为动脉二氧化碳分压(PaCO )低于 35mmHg]是否与 AHF 住院全因死亡率相关。

方法和结果

回顾性分析了在冠心病监护病房因 AHF 接受治疗的 676 例患者,研究终点为住院全因死亡率。采用 1:1 倾向评分匹配(PSM)分析、Kaplan-Meier 曲线和 Cox 回归模型探讨低碳酸血症与 AHF 住院全因死亡率之间的关系。接受者操作特征(ROC)曲线和 Delong 检验用于评估低碳酸血症预测 AHF 住院全因死亡率的性能。研究队列包括 464 名(68.6%)男性和 212 名(31.4%)女性,中位年龄为 66 岁(四分位距 56-74 岁)。98 例(14.5%)患者在住院期间死亡,与幸存者相比,低碳酸血症患者的低碳酸血症发生率更高(76.5%比 45.5%,P<0.001)。对低碳酸血症和非低碳酸血症患者进行了 1:1 PSM,匹配后每组各有 264 例患者。与非低碳酸血症患者相比,低碳酸血症患者的院内死亡率在匹配前后均显著升高(分别为 22.2%比 6.8%,P<0.001;20.8%比 8.7%,P<0.001)。Kaplan-Meier 曲线显示低碳酸血症患者在 PSM 前后的院内死亡概率明显更高(对数秩检验的 P 值均<0.001)。多变量 Cox 回归分析显示,低碳酸血症是 AHF 死亡率的独立预测因子,在匹配前(风险比 [HR] 2.22;95%置信区间 [CI] 1.23-3.98;P=0.008)和匹配后(HR 2.19;95%CI 1.18-4.07;P=0.013)均如此。Delong 检验显示,在模型中加入低碳酸血症后,ROC 曲线下面积得到改善(0.872,95%CI 0.839-0.901 比 0.855,95%CI 0.820-0.886,P=0.028)。PaCO 与估算肾小球滤过率(r=0.20,P=0.001)、左心室射血分数(r=0.13,P<0.001)、B 型利钠肽(r=-0.28,P<0.001)和乳酸(r=-0.15,P<0.001)呈正相关。PaCO 三分位组的 Kaplan-Meier 曲线和多变量 Cox 回归分析显示,最低 PaCO 三分位组与 AHF 住院死亡率增加相关(均 P<0.05)。

结论

低碳酸血症是 AHF 住院死亡率的独立预测因子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cccc/10053155/bb63468df0a9/EHF2-10-1385-g003.jpg

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