Phase Angle Is a Stronger Predictor of Hospital Outcome than Subjective Global Assessment-Results from the Prospective Dessau Hospital Malnutrition Study.

bioimpedance analysis inflammatory status medical patients nutritional status screening surgical patients

Journal

Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595

Informations de publication

Date de publication:
24 Apr 2022
Historique:
received: 06 04 2022
revised: 21 04 2022
accepted: 22 04 2022
entrez: 14 5 2022
pubmed: 15 5 2022
medline: 18 5 2022
Statut: epublish

Résumé

This prospective cohort study of 16,943 consecutive patients compared phase angle (PhA, foot-to-hand at 50 kHz) and subjective global assessment (SGA) to predict outcomes length of hospital stay (LOS) and in-hospital mortality in patients at risk of malnutrition (NRS-2002 ≥ 3). In 1505 patients, the independent effects on LOS were determined by competing risk analysis and on mortality by logistic regression. In model I, including influence factors age, sex, BMI, and diagnoses, malnourished (SGA B and C) patients had a lower chance for a regular discharge (HR 0.74; 95%CI 0.69−0.79) and an increased risk of mortality (OR 2.87; 95%CI 1.38−5.94). The association of SGA and outcomes regular discharge and mortality was completely abrogated when PhA was added (model II). Low PhA reduced the chance of a regular discharge by 53% in patients with a PhA ≤ 3° (HR 0.47; 95%CI 0.39−0.56) as compared to PhA > 5°. Mortality was reduced by 56% for each 1° of PhA (OR 0.44; 95%CI 0.32−0.61). Even when CRP was added in model III, PhA ≤ 3° was associated with a 41% lower chance for a regular discharge (HR 0.59; 95%CI 0.48−0.72). In patients at risk of malnutrition, the objective measure PhA was a stronger predictor of LOS and mortality than SGA.

Identifiants

pubmed: 35565747
pii: nu14091780
doi: 10.3390/nu14091780
pmc: PMC9100773
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Fresenius (Germany)
ID : no number

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Auteurs

Mathias Plauth (M)

Department of Internal Medicine, Dessau Community General Hospital, Auenweg 38, 06847 Dessau-Rosslau, Germany.

Isabella Sulz (I)

Medical University Vienna, Center for Medical Statistics, Informatics and Intelligent Systems, CEMSIIS, Spitalgasse 23, 1090 Vienna, Austria.

Melanie Viertel (M)

Department of Internal Medicine, Dessau Community General Hospital, Auenweg 38, 06847 Dessau-Rosslau, Germany.

Veronika Höfer (V)

Department of Internal Medicine, Dessau Community General Hospital, Auenweg 38, 06847 Dessau-Rosslau, Germany.

Mila Witt (M)

Department of Internal Medicine, Dessau Community General Hospital, Auenweg 38, 06847 Dessau-Rosslau, Germany.

Frank Raddatz (F)

Department of Internal Medicine, Dessau Community General Hospital, Auenweg 38, 06847 Dessau-Rosslau, Germany.

Michael Reich (M)

Department of Internal Medicine, Dessau Community General Hospital, Auenweg 38, 06847 Dessau-Rosslau, Germany.

Michael Hiesmayr (M)

Medical University Vienna, Center for Medical Statistics, Informatics and Intelligent Systems, CEMSIIS, Spitalgasse 23, 1090 Vienna, Austria.

Peter Bauer (P)

Medical University Vienna, Center for Medical Statistics, Informatics and Intelligent Systems, CEMSIIS, Spitalgasse 23, 1090 Vienna, Austria.

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