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The nutritional sequelae of COVID-19 have not been explored in a large cohort study.ObjectivesTo identify factors associated with the change in nutritional status between discharge and 30 days post-discharge (D30). Secondary objectives were to determine the prevalence of subjective functional loss and severe disability at D30 and their associated factors.MethodsCollected data included symptoms, nutritional status, self-evaluation of food intake, Performance Status (PS) Scale, Asthenia Scale, self-evaluation of strength (SES) for arms and legs at discharge and at D30. An SES <7 was used to determine subjective functional loss. A composite criteria for severe disability was elaborated combining malnutrition, subjective functional loss and PS >2. Patients were classified into three groups according to change in nutritional status between discharge and D30 (persistent malnutrition, correction of malnutrition and the absence of malnutrition).ResultsOf 549 consecutive patients hospitalised for COVID-19 between 1 March and 29 April 2020, 130 died including 17 after discharge (23.7%). At D30, 312 patients were at home, 288 (92.3%) of whom were interviewed. Of the latter, 33.3% were malnourished at discharge and still malnourished at D30, while 23.2% were malnourished at discharge but no longer malnourished at D30. The highest predictive factors of persistent malnutrition were intensive care unit (ICU) stay (OR=3.42, 95% CI: 2.04 to 5.75), subjective functional loss at discharge (OR=3.26, 95% CI: 1.75 to 6.08) and male sex (OR=2.39, 95% CI: 1.44 to 3.97). Subjective functional loss at discharge (76.8%) was the main predictive factor of subjective functional loss at D30 (26.3%) (OR=32.6, 95% CI: 4.36 to 244.0). Lastly, 8.3% had a severe disability, with a higher risk in patients requiring an ICU stay (OR=3.39, 95% CI: 1.43 to 8.06).ConclusionPatients who survived a severe form of COVID-19 had a high risk of persistent malnutrition, functional loss and severe disability at D30. We believe that nutritional support and rehabilitation should be strengthened, particularly for male patients who were admitted in ICU and had subjective functional loss at discharge.Trial registration numberNCT04451694.

Background Health-related quality of life (HRQoL) is an important element of patient care and clinical research. The aim of this study was to describe HRQoL changes and identify associated factors during a 6-month follow-up of outpatients starting care for alcohol or opioid dependence. Methods HRQoL was measured at baseline and 3 and 6 months later using the SF-12. Data on the patients’ sociodemographics, clinical characteristics and levels of anxiety and depression were collected using the Hospital Anxiety and Depression Scale (HADS). Repeated-measures analyses were performed to assess factors associated with global HRQoL differences and the evolution of HRQoL indicated by both physical and mental scores (PCS and MCS, respectively). Results The mean PCS and MCS scores were initially low at 45.4 (SD = 8.6) and 36.0 (SD = 10.9), respectively. The improvement in HRQoL was rapid in the first 3-month period and then slowed and remained stable over the subsequent 3-month period. Being employed (p = 0.012), having no comorbidities (p = 0.014) and having no depression (p = 0.004) were associated with significant differences in the average PCS scores at the 3 time points. Patients who had lower overall HRQoL MCS scores on average were those for whom a medication was initiated (p = 0.009), as was the case for patients with anxiety (p < 0.001) and depression (p < 0.001). Patients with depression at baseline were also those for whom a significantly greater increase in MCS score during the 6 months of follow-up was observed. Conclusion Our findings highlight the importance of screening early psychological distress and considering other factors associated with HRQoL changes in outpatients after the first 3-month period of treatment for substance use disorder.

Background: Although research on health-related quality of life (HRQoL) has increased in the addiction field, few studies have focused on the determinants of HRQoL changes. This study aimed to describe dependent patients' HRQoL changes at a 3-month follow-up and to assess whether satisfaction with care can predict those changes among outpatients starting care for alcohol or opioid dependence. Methods: HRQoL was measured with the SF-12 at baseline and 3 months later in a prospective cohort of dependent outpatients. Satisfaction was assessed with the EQS-C early after inclusion. Data on sociodemographics, clinical characteristics and patients' levels of anxiety and depression were also collected. A multivariable analysis was performed to identify factors associated with HRQoL changes in both the physical and mental component summary scores (PCS and MCS, respectively). Results: Of the 172 patients included at baseline, a total of 136 patients assessed their satisfaction with care. The mean PCS and MCS scores were initially low, and HRQoL improvement was significant after 3 months for both the PCS and MCS. Never having been married (β = 5.5; p = 0.001) and a lower baseline PCS score (β = − 0.6; p < 0.0001) were associated with significant PCS improvement, whereas being legally compelled to undergo drug treatment (β = − 5.9; p = 0.02) was associated with less PCS change. Higher early satisfaction with care (β = 0.1; p = 0.02) and a lower baseline MCS score (β = − 0.7; p < 0.0001) were associated with significant MCS improvement. Conclusion: The study supported the hypothesis that greater satisfaction with care may predict HRQoL improvement among dependent outpatients. Further studies are needed to understand the factors that affect patients' early satisfaction to identify areas of improvement and thus improve HRQoL.

Information campaigns including men concerning the risk of HPV infection should help to increase acceptability.