Data from: Early prediction of in-hospital mortality in patients with congestive heart failure in intensive care unit: a retrospective observational cohort study
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https://datadryad.org/dataset/doi:10.5061/dryad.tx95x6b18
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Objective: Congestive heart failure (CHF) is a clinical syndrome
in which heart disease progresses to a severe stage. Risk assessment and
early diagnosis of death in patients with CHF are critical to patient
prognosis and treatment. The purpose of this study was to establish a
nomogram predicting in-hospital death for CHF patients in the ICU.
Design: A retrospective observational cohort study. Setting and
participants: The data of study from 30,411 CHF patients in the
Medical Information Mart for Intensive Care (MIMIC-IV) database and the
eICU Collaborative Research Database (eICU-CRD). Primary
outcome: In-hospital mortality. Results: The inclusion
criteria were met by 15983 subjects, whose in-hospital mortality
rate was 12.4%. Multivariate analysis determined that the independent risk
factors were age, race, norepinephrine, dopamine, phenylephrine,
vasopressin, mechanical ventilation, intubation, HepF, heart
rate, respiratory rate, temperature, SBP, AG, BUN,
creatinine, chloride, MCV, RDW, and WBC. The
C-index of the nomogram (0.767, 95%CI: 0.759–0.779) was
superior to that of the traditional SOFA,
APSIII and GWTGHF score, indicating its discrimination power. Calibration
plots demonstrated that the predicted results are in good
agreement with the observed results. The decision curves of the
derivation and validation sets both had net benefits. Conclusion:
The twenty independent risk factors
for in-hospital mortality of CHF patients were
age, race, norepinephrine, dopamine, phenylephrine, vasopressin,
mechanical ventilation, intubation, HepF, heart rate,
respiratory rate, temperature, SBP, AG, BUN,
creatinine, chloride, MCV, RDW, and
WBC. The nomogram that included these factors accurately
predicted the in-hospital mortality of CHF patients. The novel
nomogram has the potential to be a clinical practice
aided predictive tool for predicting and assessing mortality in
CHF patients in the ICU.
提供机构:
Dryad
创建时间:
2022-07-02



