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Refeeding Syndrome.

Lara Heuft1, Jenny Voigt, Lars Selig

  • 1Institut für Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of LeipzigMedical Center, Leipzig, GermanyInstitute for Human Genetics, University of Leipzig Medical Center, Leipzig, GermanyDepartment of Endocrinology, Nephrology, Rheumatology, Division of Endocrinology, University ofLeipzig Medical Center, Leipzig, GermanyDepartment of Endocrinology, Nephrology, Rheumatology, Special Division of Endocrinology,University of Leipzig Medical Center, Leipzig, Germany Klinik und Poliklinik für Endokrinologie,Nephrologie, Rheumatologie, Spezialbereich Ernährungs medizin, Universitätsklinikum LeipzigHelmholtz Institute for Metabolic, Obesity, and Vascular Research (HI-MAG), Helmholtz ZentrumMünchen, University of Leipzig, and the University Hospital Leipzig, Leipzig, GermanyInstitute for Laboratory Medicine, Microbiology, Clinical Pathology, and Pathobiochemistry, UniversityHospital Lippe, Detmold, Germany.

Deutsches Arzteblatt International
|December 9, 2022
PubMed
Summary
This summary is machine-generated.

Refeeding syndrome (RFS) is a dangerous condition in malnourished patients that often goes unrecognized. Clinical decision support systems (CDSS) can help diagnose RFS, improving patient outcomes and preventing mortality.

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Area of Science:

  • Clinical Medicine
  • Medical Informatics

Background:

  • Refeeding syndrome (RFS) poses a significant risk to malnourished patients upon reintroduction of nutrition.
  • RFS is often underdiagnosed due to non-specific symptoms and low physician awareness.
  • Delayed diagnosis of RFS is associated with increased mortality and intensive care unit admissions.

Purpose of the Study:

  • To evaluate the utility of clinical decision support systems (CDSS) in diagnosing Refeeding Syndrome (RFS).
  • To highlight the challenges in identifying high-risk patients and manifest RFS.
  • To underscore the importance of CDSS in managing RFS.

Main Methods:

  • Literature search of PubMed for RFS and CDSS treatment recommendations and studies.
  • Inclusion of insights from the development and implementation of a proprietary CDSS for RFS diagnosis.
  • Prospective testing of the developed CDSS.

Main Results:

  • RFS diagnosis is challenging due to unspecific symptoms and lack of physician awareness.
  • Patients with RFS exhibit significantly higher 6-month mortality (OR 1.54) and ICU admission risk (OR 2.71).
  • The developed CDSS achieved correct RFS diagnosis in two-thirds of cases during prospective testing.

Conclusions:

  • Refeeding syndrome (RFS) presents a high, often undetected, risk to patients.
  • Clinical decision support systems (CDSS) are effective tools for identifying at-risk patients.
  • Implementing appropriate CDSS can lead to timely diagnosis and improved patient care for RFS.