Predictors of complications in initially haemodynamically stable patients admitted in a modern coronary care unit

Alfonso Campanile1, Michele Ciccarelli2, Gennaro Galasso2

  • 1Department of Cardiology, Intensive Cardiac Care Unit, Ruggi D' Aragona Hospital.

Insights

Predictors of severe complications in stable intensive cardiac care unit patients were identified. Signs of heart failure, low systolic blood pressure, low hemoglobin, and high comorbidity burden predict adverse outcomes, aiding resource allocation.

Area of Science:

  • Cardiology
  • Critical Care Medicine
  • Health Services Research

Background:

  • Intensive Cardiac Care Units (ICCU) face resource limitations due to increasing acute cardiovascular admissions.
  • Optimizing ICCU bed allocation requires identifying patients most likely to benefit from critical care.

Purpose of the Study:

  • To identify predictors of severe complications in ICCU patients with initially stable hemodynamic conditions.
  • To aid in resource optimization within ICCUs.

Main Methods:

  • Analysis of 950 patients admitted to an ICCU in 2019.
  • Screening for stable hemodynamic condition at admission.
  • Utilizing the Charlson Comorbidity Index (CCI) to quantify comorbidity burden.
  • Multivariable logistic regression to identify predictors of severe complications or in-hospital death.

Main Results:

  • 14.1% of stable patients (98/695) developed severe complications.
  • Key predictors identified: signs of congestive heart failure (OR: 9.25), systolic blood pressure (SBP) ≤ 120 mmHg (OR: 2.10), hemoglobin level ≤ 13 g/dL (OR: 1.75), and CCI > 3 (OR: 2.27).
  • Congestive heart failure signs were the primary determinant of adverse outcomes.

Conclusions:

  • A significant proportion of stable ICCU admissions experience severe complications.
  • Systolic blood pressure, hemoglobin level, CCI, and heart failure signs are crucial for predicting severe complications.
  • These findings support improved patient selection and resource management in ICCUs.
Abstract

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