Body composition analysis and handgrip strength as predictors of 12-month mortality in hospitalized adults receiving parenteral nutrition: A descriptive cohort study

dc.contributor.authorMontero Madrid, Natalia
dc.contributor.authorRodríguez Juárez, Raúl
dc.contributor.authorFernández‐Jiménez, Rocío
dc.contributor.authorVidal Suárez, Alvaro
dc.contributor.authorGuirado Peláez, Patricia
dc.contributor.authorMartín‐Fontalba, Maria Angeles
dc.contributor.authorFernández Medina, Beatriz
dc.contributor.authorVegas Aguilar, Isabel
dc.contributor.authorAmaya Campos, Maria del Mar
dc.contributor.authorSimón Frapolli, Victor
dc.contributor.authorZarco Martín, Maria Teresa
dc.contributor.authorTinahones-Madueño, Francisco José
dc.contributor.authorMaria Luisa Fernández Soto
dc.contributor.authorGarcía-Almeida, José Manuel
dc.date.accessioned2026-03-12T09:20:17Z
dc.date.created2026
dc.date.issued2026-03-05
dc.departamentoIBIMA. Instituto de Investigación Biomédica de Málaga
dc.description.abstractBackground Nutrition assessment in patients receiving parenteral nutrition often relies on classical parameters with limited prognostic value. Morphofunctional tools such as phase angle and handgrip strength measurement offer a more comprehensive evaluation of nutrition status and may better predict clinical outcomes. Objective To evaluate the predictive value of phase angle and handgrip strength for 12-month mortality in hospitalized patients receiving parenteral nutrition. Methods A retrospective observational study was conducted in 614 patients treated with parenteral nutrition. Anthropometric assessments were realized. Morphofunctional assessments included bioelectrical impedance analysis to determine phase angle and dynamometry to measure handgrip strength. Survival analysis was performed using Cox proportional hazards models and Kaplan-Meier curves and cutoff values by receiver operating characteristic curve analysis. Results Six hundred fourteen patients received parenteral nutrition, with a mean age of 64 ± 14.6 years; 58.2% were male. After 1 year, the mortality rate was 26.1%, and the average hospital stay was 27.9 ± 23.8 days. Twelve-month survival was reduced in patients with low phase angle (57%) and low handgrip strength (62.8%) compared with those with preserved values (84% and 82.2%, respectively). In the multivariable logistic regression model adjusted for age, sex, and body mass index, each unit increase in phase angle and handgrip strength was associated with a 4% and 2% reduction in mortality odds, respectively (phase angle: odds ratio [OR], 0.6; 95% CI, 0.5–0.7; P < 0.001; handgrip strength: OR, 0.9; 95% CI, 0.9–1.0; P = 0.03624). Conclusion Phase angle and handgrip strength are predictors of 12-month mortality in patients receiving parenteral nutrition.
dc.description.sponsorshipFunding for open access charge: Universidad de Málaga / CBUA
dc.identifier.citationMadrid NM, Juárez RR, Fernández-Jiménez R, et al. Body composition analysis and handgrip strength as predictors of 12-month mortality in hospitalized adults receiving parenteral nutrition: a descriptive cohort study. J Parenter Enteral Nutr. 2026; 1-9. doi:10.1002/jpen.70069
dc.identifier.doi10.1002/jpen.70069
dc.identifier.urihttps://hdl.handle.net/10630/46019
dc.language.isoeng
dc.publisherWiley
dc.rightsAttribution-NonCommercial 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectEnfermos - Nutrición
dc.subject.otherBioelectrical impedance vector analysis
dc.subject.otherHandgrip strength
dc.subject.otherPhase angle
dc.subject.otherTotal parenteral nutrition
dc.titleBody composition analysis and handgrip strength as predictors of 12-month mortality in hospitalized adults receiving parenteral nutrition: A descriptive cohort study
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication5008638f-787f-4d12-81ea-8f34216949a5
relation.isAuthorOfPublicationdece97a6-3d61-4b92-9719-95effc34b2d2
relation.isAuthorOfPublication.latestForDiscovery5008638f-787f-4d12-81ea-8f34216949a5

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