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. Table 1 shows demographic, anthropometric and clinical characteristics, comorbidities and patient-reported outcomes according to four frailty-resilience phenotypes. With regards to study outcomes, Figure 1 depicts in radar graphs, mean scores of each domain of SF-36 (1A), EQ-5D5L (1B) and IC (1C). Figures shows polygon areas for each frailty/resilience phenotypes. Progressive increase of mean scores of each domain are plotted in the vertices of polygons, from the lowest (near the center) in frail and non-resilient, to highest (towards periphery) in fit and resilient. Multivariate logistic analyses were used to identify predictors of the total scores of SF-36 (Figure 2A), EQ-5D5L (Figure 2B) and IC (Figure 2C). Conclusion. 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. Funding. This study is supported by a Gilead Sciences Inc. unrestricted grant.
ABSTRACT
Background and Aims : Recently a proposal has been advanced to change the traditional definition of Non-Alcoholic Fatty Liver Disease to Metabolic Associated Fatty Liver Disease (MAFLD), to reflect the cluster of metabolic abnormalities that may be more closely associated with cardiovascular risk. Long COVID is a smoldering inflammatory condition, characterized by a number of symptom clusters. This study aims to determine the prevalence of MAFLD in patients with post-acute COVID syndrome (PACS) and its association with other PACS-cluster phenotypes. Method(s): We included 235 patients followed at a single university outpatient clinic. The diagnosis of PACS was based on >=1 cluster of symptoms: respiratory, neurocognitive, musculoskeletal, psychological, sensory, dermatological. The outcome was prevalence of MAFLD detected by transient elastography during the first post-discharge follow-up outpatient visit. The prevalence of MAFLD at the time of hospital admission was calculated retrospectively using the hepatic steatosis index. Result(s): Of 235 patients, 162 (69%) were men (median age 61). The prevalence of MAFLD was 55.3% at follow-up and 37.3% on admission (P<0.001). Insulin resistance (OR=1.5, 95%CI: 1.14-1.96), body mass index (OR=1.14, 95%CI: 1.04-1.24), and the metabolic syndrome (OR=2.54, 95%CI: 1.13-5.68), were independent predictors of MAFLD. The number of PACS clusters was inversely associated with MAFLD (OR=0.86, 95%CI: 0.76-0.97). Thirty-one patients (13.2%) had MAFLD with no other associated PACS clusters. All correlations between MAFLD and other PACS clusters were weak. Conclusion(s): MAFLD was highly prevalent after hospital discharge and may represent a specific PACS-cluster phenotype, with potential long-term metabolic and cardiovascular health implications. Copyright © 2022