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 DOI Creative Commons
Jingmei Liu

Kardiologiia, Год журнала: 2025, Номер 65(1), С. 20 - 26

Опубликована: Янв. 31, 2025

Background. Heart failure (HF) is a global health issue, and its complication with acute kidney (AKF) increases the risk of mortality. This study aimed to investigate predictive value fluid balance for mortality in patients HF complicated by AKF. A retrospective analysis was performed using MIMIC-IV database evaluate relationship between Material methods. Adult AKF who were listed 2008 2019 included. The divided into survival non-survival groups. primary outcome measure intake output first three days intensive care unit (ICU). main being in-ICU secondary 28‑day after ICU admission. multivariable Cox proportional hazards model used assess death, adjusting potential confounding factors. Results . total 1433 eligible found that compared death group, group maintained lower positive on day 1 (453.51 ml vs 1813.66 ml), negative 2 (-246.75 646.00 3 (-350.21 312.92 ml). Additionally, predicted rate (AUC 0.658, p<0.01), second it 0.654, third also 0.634, p<0.01). Conclusion Positive independently associated higher in-hospital Monitoring managing may provide clinicians an important tool improve patient outcomes.

Язык: Английский

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 DOI Creative Commons
Jingmei Liu

Kardiologiia, Год журнала: 2025, Номер 65(1), С. 20 - 26

Опубликована: Янв. 31, 2025

Background. Heart failure (HF) is a global health issue, and its complication with acute kidney (AKF) increases the risk of mortality. This study aimed to investigate predictive value fluid balance for mortality in patients HF complicated by AKF. A retrospective analysis was performed using MIMIC-IV database evaluate relationship between Material methods. Adult AKF who were listed 2008 2019 included. The divided into survival non-survival groups. primary outcome measure intake output first three days intensive care unit (ICU). main being in-ICU secondary 28‑day after ICU admission. multivariable Cox proportional hazards model used assess death, adjusting potential confounding factors. Results . total 1433 eligible found that compared death group, group maintained lower positive on day 1 (453.51 ml vs 1813.66 ml), negative 2 (-246.75 646.00 3 (-350.21 312.92 ml). Additionally, predicted rate (AUC 0.658, p<0.01), second it 0.654, third also 0.634, p<0.01). Conclusion Positive independently associated higher in-hospital Monitoring managing may provide clinicians an important tool improve patient outcomes.

Язык: Английский

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