Background- 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). Methods- 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. Results- 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. Conclusions- Resilience is complementary to frailty in the identification of clinical phenotypes with different impact on wellness and QoL. Frailty and resilience should be evaluated in hospitalized COVID-19 patients to identify vulnerable individuals to prioritize urgent health interventions in people with PACS.

Quality of life and intrinsic capacity in patients with post-acute COVID-19 syndrome is in relation to frailty and resilience phenotypes / Guaraldi, Giovanni; Milic, Jovana; Barbieri, Sara; Marchio', Tommaso; Caselgrandi, Agnese; Motta, Federico; Beghe', Bianca; Verduri, Alessia; Belli, Michela; Gozzi, Licia; Iadisernia, Vittorio; Faltoni, Matteo; Burastero, Giulia; Dessilani, Andrea; DEL MONTE, Martina; Dolci, Giovanni; Bacca, Erica; Franceschi, Giacomo; Yaacoub, Dina; Volpi, Sara; Mazzochi, Alice; Clini, Enrico; Mussini, Cristina. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 13:1(2023), pp. 1-9. [10.1038/s41598-023-29408-z]

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

Giovanni Guaraldi;Federico Motta;Bianca Beghe';Alessia Verduri;Licia Gozzi;Vittorio Iadisernia;Matteo Faltoni;Giulia Burastero;Andrea Dessilani;Martina Del Monte;Giovanni Dolci;Erica Bacca;Giacomo Franceschi;Dina Yaacoub;Sara Volpi;Enrico Clini;Cristina Mussini
2023

Abstract

Background- 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). Methods- 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. Results- 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. Conclusions- Resilience is complementary to frailty in the identification of clinical phenotypes with different impact on wellness and QoL. Frailty and resilience should be evaluated in hospitalized COVID-19 patients to identify vulnerable individuals to prioritize urgent health interventions in people with PACS.
2023
3-giu-2023
13
1
1
9
Quality of life and intrinsic capacity in patients with post-acute COVID-19 syndrome is in relation to frailty and resilience phenotypes / Guaraldi, Giovanni; Milic, Jovana; Barbieri, Sara; Marchio', Tommaso; Caselgrandi, Agnese; Motta, Federico; Beghe', Bianca; Verduri, Alessia; Belli, Michela; Gozzi, Licia; Iadisernia, Vittorio; Faltoni, Matteo; Burastero, Giulia; Dessilani, Andrea; DEL MONTE, Martina; Dolci, Giovanni; Bacca, Erica; Franceschi, Giacomo; Yaacoub, Dina; Volpi, Sara; Mazzochi, Alice; Clini, Enrico; Mussini, Cristina. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 13:1(2023), pp. 1-9. [10.1038/s41598-023-29408-z]
Guaraldi, Giovanni; Milic, Jovana; Barbieri, Sara; Marchio', Tommaso; Caselgrandi, Agnese; Motta, Federico; Beghe', Bianca; Verduri, Alessia; Belli, Michela; Gozzi, Licia; Iadisernia, Vittorio; Faltoni, Matteo; Burastero, Giulia; Dessilani, Andrea; DEL MONTE, Martina; Dolci, Giovanni; Bacca, Erica; Franceschi, Giacomo; Yaacoub, Dina; Volpi, Sara; Mazzochi, Alice; Clini, Enrico; Mussini, Cristina
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