Quality of life and intrinsic capacity in patients with post-acute COVID-19 syndrome is in relation to frailty and resilience phenotypes

© 2023. The Author(s)..

The objective of this study was to characterize frailty and resilience in people evaluated for Post-Acute COVID-19 Syndrome (PACS), in relation to quality of life (QoL) and Intrinsic Capacity (IC). This cross-sectional, observational, study included consecutive people previously hospitalized for severe COVID-19 pneumonia attending Modena (Italy) PACS Clinic from July 2020 to April 2021. Four frailty-resilience phenotypes were built: "fit/resilient", "fit/non-resilient", "frail/resilient" and "frail/non-resilient". Frailty and resilience were defined according to frailty phenotype and Connor Davidson resilience scale (CD-RISC-25) respectively. Study outcomes were: QoL assessed by means of Symptoms Short form health survey (SF-36) and health-related quality of life (EQ-5D-5L) and IC by means of a dedicated questionnaire. Their predictors including frailty-resilience phenotypes were explored in logistic regressions. 232 patients were evaluated, median age was 58.0 years. PACS was diagnosed in 173 (74.6%) patients. Scarce resilience was documented in 114 (49.1%) and frailty in 72 (31.0%) individuals. Predictors for SF-36 score < 61.60 were the phenotypes "frail/non-resilient" (OR = 4.69, CI 2.08-10.55), "fit/non-resilient" (OR = 2.79, CI 1.00-7.73). Predictors for EQ-5D-5L < 89.7% were the phenotypes "frail/non-resilient" (OR = 5.93, CI 2.64-13.33) and "frail/resilient" (OR = 5.66, CI 1.93-16.54). Predictors of impaired IC (below the mean score value) were "frail/non-resilient" (OR = 7.39, CI 3.20-17.07), and "fit/non-resilient" (OR = 4.34, CI 2.16-8.71) phenotypes. Resilience and frailty phenotypes may have a different impact on wellness and QoL and may be evaluated in people with PACS to identify vulnerable individuals that require suitable interventions.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:13

Enthalten in:

Scientific reports - 13(2023), 1 vom: 02. Juni, Seite 8956

Sprache:

Englisch

Beteiligte Personen:

Guaraldi, Giovanni [VerfasserIn]
Milic, Jovana [VerfasserIn]
Barbieri, Sara [VerfasserIn]
Marchiò, Tommaso [VerfasserIn]
Caselgrandi, Agnese [VerfasserIn]
Motta, Federico [VerfasserIn]
Beghè, Bianca [VerfasserIn]
Verduri, Alessia [VerfasserIn]
Belli, Michela [VerfasserIn]
Gozzi, Licia [VerfasserIn]
Iadisernia, Vittorio [VerfasserIn]
Faltoni, Matteo [VerfasserIn]
Burastero, Giulia [VerfasserIn]
Dessilani, Andrea [VerfasserIn]
Del Monte, Martina [VerfasserIn]
Dolci, Giovanni [VerfasserIn]
Bacca, Erica [VerfasserIn]
Franceschi, Giacomo [VerfasserIn]
Yaacoub, Dina [VerfasserIn]
Volpi, Sara [VerfasserIn]
Mazzochi, Alice [VerfasserIn]
Clini, Enrico [VerfasserIn]
Mussini, Cristina [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Observational Study
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 05.06.2023

Date Revised 09.06.2023

published: Electronic

Citation Status MEDLINE

doi:

10.1038/s41598-023-29408-z

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM357707486