Predictive Analysis of the Mortality Rate of Patients with Heart Failure Complicated by Acute Kidney Failure Based on the Fluid Balance: A Retrospective Study Using the MIMIC-IV Database.

IF 0.5 4区 医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS
Liu Jingmei
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引用次数: 0

Abstract

Background: Heart failure (HF) is a global health issue, and its complication with acute kidney failure (AKF) increases the risk of mortality. This study aimed to investigate the predictive value of fluid balance for mortality in patients with HF complicated by AKF. A retrospective analysis was performed using the MIMIC-IV database to evaluate the relationship between fluid balance and mortality in patients with HF complicated by AKF.

Material and methods: Adult patients with HF and AKF and who were listed in the MIMIC-IV database between 2008 and 2019 were included. The patients were divided into survival and non-survival groups. The primary outcome measure was fluid intake and output in the first three days in the intensive care unit (ICU). The main outcome being in-ICU mortality and the secondary outcome being 28‑day mortality after ICU admission. A multivariable Cox proportional hazards model was used to assess the relationship between fluid balance and the risk of death, after adjusting for potential confounding factors.

Results: A total of 1433 eligible patients were included. The study found that compared to the death group, patients in the survival group maintained lower positive balance on day 1 (453.51 ml vs 1813.66 ml), negative balance on day 2 (-246.75 ml vs 646.00 ml), and negative balance on day 3 (-350.21 ml vs 312.92 ml). Additionally, fluid balance on the first day predicted ICU mortality rate (AUC 0.658, p<0.01), on the second day it predicted ICU mortality rate (AUC 0.654, p<0.01), and on the third day it also predicted ICU mortality rate (AUC 0.634, p<0.01).

Conclusion: Positive fluid balance in patients with HF and AKF is independently associated with higher in-hospital mortality. Monitoring and managing fluid balance may provide clinicians with an important tool to improve patient outcomes.

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来源期刊
Kardiologiya
Kardiologiya 医学-心血管系统
CiteScore
1.70
自引率
20.00%
发文量
94
审稿时长
3-8 weeks
期刊介绍: “Kardiologiya” (Cardiology) is a monthly scientific, peer-reviewed journal committed to both basic cardiovascular medicine and practical aspects of cardiology. As the leader in its field, “Kardiologiya” provides original coverage of recent progress in cardiovascular medicine. We publish state-of-the-art articles integrating clinical and research activities in the fields of basic cardiovascular science and clinical cardiology, with a focus on emerging issues in cardiovascular disease. Our target audience spans a diversity of health care professionals and medical researchers working in cardiovascular medicine and related fields. The principal language of the Journal is Russian, an additional language – English (title, authors’ information, abstract, keywords). “Kardiologiya” is a peer-reviewed scientific journal. All articles are reviewed by scientists, who gained high international prestige in cardiovascular science and clinical cardiology. The Journal is currently cited and indexed in major Abstracting & Indexing databases: Web of Science, Medline and Scopus. The Journal''s primary objectives Contribute to raising the professional level of medical researchers, physicians and academic teachers. Present the results of current research and clinical observations, explore the effectiveness of drug and non-drug treatments of heart disease, inform about new diagnostic techniques; discuss current trends and new advancements in clinical cardiology, contribute to continuing medical education, inform readers about results of Russian and international scientific forums; Further improve the general quality of reviewing and editing of manuscripts submitted for publication; Provide the widest possible dissemination of the published articles, among the global scientific community; Extend distribution and indexing of scientific publications in major Abstracting & Indexing databases.
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