The predictive value of the modified early warning score for admission to the intensive care unit in patients with a

Niels van Mourik1, Jesse J Oomen2, Lonneke A van Vught1

  • 1Department of Intensive Care Medicine, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, The Netherlands.

Abstract

Insights

The Modified Early Warning Score (MEWS) effectively predicts intensive care unit admission in hematologic malignancy patients, outperforming the quick Sequential Organ Failure Assessment (qSOFA) score. Consistent application of MEWS can improve early detection of critical illness.

Area of Science:

  • Critical Care Medicine
  • Hematology
  • Clinical Prediction Models

Background:

  • The Modified Early Warning Score (MEWS) is utilized for early detection of clinical deterioration in hospitalized patients.
  • Patients with hematologic malignancies admitted to general wards are at risk for critical illness requiring intensive care.

Purpose of the Study:

  • To evaluate the predictive value of MEWS and the quick Sequential Organ Failure Assessment (qSOFA) score for intensive care unit (ICU) admission in patients with hematologic malignancy.
  • To compare the performance of MEWS and qSOFA in identifying patients at high risk for ICU transfer.

Main Methods:

  • Retrospective, observational study conducted in two Dutch university hospitals.
  • Data from adult patients with hematologic malignancy admitted to the ward over a two-year period were analyzed.
  • Intensive care unit admission was the primary outcome measure.

Main Results:

  • A total of 395 patients and 736 hospital admissions were included; 2% of admissions led to ICU transfer.
  • Higher MEWS (OR 1.5) and qSOFA (OR 4.4) scores were significantly associated with ICU admission.
  • MEWS demonstrated a higher predictive accuracy (AUC 0.830) compared to qSOFA (AUC 0.752) and could predict ICU admission up to two days prior.

Conclusions:

  • MEWS is a sensitive predictor of ICU admission in hematologic malignancy patients, outperforming qSOFA.
  • Further research is needed to validate cut-off values and identify additional predictive characteristics for critically ill hemato-oncology patients.
  • MEWS can serve as a valuable bedside tool for nurses to identify patients requiring timely interventions and improved outcomes.

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