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. 2022 Apr 26:9:847049.
doi: 10.3389/fcvm.2022.847049. eCollection 2022.

The Relationship Between the Utilization of Arterial Blood Gas Analysis and Rehospitalization in Heart Failure: A Retrospective Cohort Study

Xinyu Zhang  1 , Yijun Sun  1 , Hui Zhang  1 , Huixia Lu  1 , Xiaoping Ji  1
Affiliations

The Relationship Between the Utilization of Arterial Blood Gas Analysis and Rehospitalization in Heart Failure: A Retrospective Cohort Study

Xinyu Zhang et al. Front Cardiovasc Med. .

Abstract

Background: The most common presentation of decompensated HF is dyspnea, and arterial blood gas analysis is an excellent tool for the decision-making process for most dyspneic patients. However, data on the prognostic value of ABG in HF patients are limited. Herein, a retrospective cohort study was conducted to investigate whether the utilization of arterial blood gas analysis was independently associated with re-hospitalization in patients with heart failure.

Methods: As a retrospective cohort study, the relevant clinical data of hospitalized patients admitted to Zigong Fourth People's Hospital, Sichuan, China from December 2016 to June 2019 with a diagnosis of HF were analyzed. The re-hospitalization within 6 months and the use of intravenous diuretic, nitrates, inotropes, or vasopressors were compared between patients with and without arterial blood gas analysis. We used a multivariable logistic regression model, propensity score analysis, and an inverse probability-weighting model to ensure the robustness of our findings.

Results: We included 1,605 patients with heart failure. The overall re-hospitalization rate within 6 months was 38.2%; it was 34.8% and 41.8% for heart failure patients with or without arterial blood gas analysis, respectively. In the inverse probability-weighting model, the use of arterial blood gas analysis was associated with a 26% lower re-hospitalization rate within 6 months.

Conclusion: The performance of arterial blood gas analysis is associated with a 6-month rehospitalization rate benefit in a general population of heart failure patients. This association warrants further investigation.

Keywords: IPTW; PSM; arterial blood gas analysis; heart failure; rehospitalization.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flow chart of the screening and enrollment of study participants.
Figure 2
Figure 2
Relative influence factor of covariates. The relative influence factor measures how discriminative the 30 covariates of the propensity score model are when predicting the likelihood of ABG performance.
Figure 3
Figure 3
Associations between ABG analysis and the outcome in the crude analysis, multivariable analysis, and propensity-score analyses.
See this image and copyright information in PMC

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