Minimal clinically important differences in health-related quality of life after treatment with direct-acting antivirals for chronic hepatitis C: ANRS CO22 HEPATHER cohort (PROQOL-HCV).

PURPOSE: Patient Reported Outcomes Quality of Life survey for HCV (PROQOL-HCV) is a specific tool developed to assess health-related quality of life (HRQoL) in patients with chronic hepatitis C receiving direct-acting antivirals (DAA). Thresholds for clinically meaningful changes in PROQOL-HCV scores should be documented to improve the tool's use in clinical practice. This study aimed to estimate the minimal clinically important differences (MCIDs) in PROQOL-HCV scores before and after HCV cure by DAA among participants in the prospective cohort ANRS-CO22 HEPATHER. METHODS: Data from 460 chronic HCV patients were collected at DAA initiation (baseline) and 24 weeks after treatment end. MCIDs were estimated for the six HRQoL dimensions (Physical Health (PH), Emotional Health (EH), Future Uncertainty (FU), Intimate Relationships (IR), Social Health (SH), and Cognitive Functioning (CF)) using two approaches: anchor-based and score distribution-based. Each MCID was estimated for improvement/deterioration both globally and separately for patients with a baseline PRQoL-HCV score ≤ 50 (group1) and patients with a baseline PRQoL-HCV score > 50 (group2). RESULTS: The pooled MCIDs for improvement/deterioration globally, in group1, and in group2, respectively, were as follows: 8.8/- 7.6, 9.7/- 9.5, and 6.0/- 6.9 for PH; 7.1/- 4.6, 7.7/- 9.6, and 6.6/- 6.7 for EH; 6.7/- 6.7, 8.2/- 8.2, and 6.0/- 6.0 for FU; 7.0/- 7.0, 5.4/- 5.4, and 6.2/- 6.2 for IR; 7.7/- 7.7, 8.6/- 8.6, and 6.5/- 6.5 for SH; 7.3/- 5.6, 9.1/- 8.0, and 6.5/- 6.3 for CF. CONCLUSIONS: The overall MCID for the PROQOL-HCV scores ranged from 6.7 to 8.8 for improvement and from - 7.7 to - 4.6 for deterioration. The effect of DAA on PROQOL-HCV scores seemed particularly beneficial for patients with lower baseline scores. This subgroup could be motivated to take DAA if they are informed of the benefits for their HRQoL.

Humoral response, associated symptoms and profile of patients infected by SARS-CoV-2 with taste or smell disorders in the SAPRIS multicohort study.

ObjectivesTaste or smell disorders have been reported as strongly associated with COVID-19 diagnosis. We aimed to identify subject characteristics, symptom associations, and humoral response intensity associated with taste or smell disorders. Patients and methodsWe used data from SAPRIS, a study based on a consortium of five prospective cohorts gathering 279,478 participants in the French general population. In the analysis, we selected participants who were presumably infected by SARS-CoV-2 during the first epidemic wave. ResultsThe analysis included 3,439 patients with a positive ELISA-Spike. Sex (OR = 1.28 [95% CI 1.05-1.58] for women), smoking (OR = 1.54 [95% CI 1.13-2.07]), consumption of more than 2 drinks of alcohol a day (OR = 1.37 [95% CI 1.06-1.76]) were associated with a higher probability of taste or smell disorders. The relationship between age and taste or smell disorders was non-linear. Serological titers were associated with taste or smell disorders: OR = 1.31 [95% CI 1.26-1.36], OR = 1.37 [95% CI 1.33-1.42] and OR = 1.34 [95% CI 1.29-1.39] for ELISA-Spike, ELISA-Nucleocapsid and seroneutralization, respectively. Among participants with taste or smell disorders, 90% reported a wide variety of other symptoms whereas 10% reported no other symptom or only rhinorrhea. ConclusionAmong patients with a positive ELISA-Spike test, women, smokers and people drinking more than 2 drinks a day were more likely to develop taste or smell disorders. This symptom was strongly associated with a humoral response. The overwhelming majority of patients with taste or smell disorders experienced a wide variety of symptoms.

Monitoring the proportion infected by SARS-CoV-2 from age-stratified hospitalisation and serological data

BackgroundRegional monitoring of the proportion infected by SARS-CoV-2 is important to guide local management of the epidemic, but is difficult in the absence of regular nationwide serosurveys. MethodsWe developed a method to reconstruct in real-time the proportion infected by SARS-CoV-2 and the proportion of infections being detected from the joint analysis of age-stratified seroprevalence, hospitalisation and case data. We applied our approach to the 13 French metropolitan regions. FindingsWe estimate that 5.7% [5.1%-6.4%] of adults in metropolitan France had been infected by SARS-CoV-2 by May 2020. This proportion remained stable until August and increased to 12.6% [11.2%-14.3%] by the end of November. With 23.8% [21.2%-26.8%] infected in the Paris region compared to 4.0% [3.5% - 4.6%] in Brittany, regional variations remained large (Coefficient of Variation CV: 0.53) although less so than in May (CV: 0.74). The proportion infected was twice higher (17.6% [13.4%-22.7%]) in 20-49 y.o. than in 50+ y.o (8.0% [5.7% - 11.5%]). Forty percent [33.7% - 45.4%] of infections in adults were detected in June-August compared to 55.7% [48.7% - 63.1%] in September-November. Our method correctly predicted seroprevalence in 11 regions in which only hospitalisation data were used. InterpretationIn the absence of contemporary serosurvey, our real-time monitoring indicates that the proportion infected by SARS-CoV-2 may be above 20% in some French regions. FundingEU RECOVER, ANR, Fondation pour la Recherche Medicale, Inserm.

Ready for a BASE jump? Do not neglect SARS-CoV-2 hospitalization and fatality risks in the middle-aged adult population.

Seroprevalence results coupled with surveillance data were used to estimate the SARS-CoV-2 infection hospitalization (IHR) and infection fatality ratios (IFR) in France. IHR and IFR were dramatically high in the very elderly (80-90 years: IHR: 30%, IFR: 11%), but also substantial in middle-aged adults (40-50 years: IHR: 1.2%, IFR: 0.05%).

Seroprevalence of SARS-CoV-2 among adults in three regions of France following the lockdown and associated risk factors: a multicohort study.

Aim To estimate the seroprevalence of SARS-CoV-2 infection in May-June 2020 after the lockdown in adults living in three regions in France and to identify the associated risk factors. Methods Participants in a survey on COVID-19 from an existing consortium of three general adult population cohorts living in the Ile-de-France (IDF) or Grand Est (GE), two regions with high rate of COVID-19, or in the Nouvelle-Aquitaine (NA), with a low rate, were asked to take a dried-blood spot (DBS) for anti-SARS-CoV-2 antibodies assessment. The primary outcome was a positive anti-SARS-CoV-2 ELISA IgG result against the spike protein of the virus (ELISA-S). The secondary outcomes were a positive ELISA IgG against the nucleocapsid protein (ELISA-NP), anti-SARS-CoV-2 neutralizing antibodies titers >=40 (SN), and predicted positivity obtained from a multiple imputation model (MI). Prevalence estimates were adjusted using sampling weights and post-stratification methods. Findings Between May 4, 2020 and June 23, 2020, 16,000 participants were asked to provide DBS, and 14,628 were included in the analysis, 983 with a positive ELISA-S, 511 with a positive ELISA-NP, 424 with SN>=40 and 941 (Standard Deviation=31) with a positive MI. Adjusted estimates of seroprevalence (positive ELISA-S) were 10.0% (95%CI 9.1%;10.9%) in IDF, 9.0% (95%CI 7.7%; 10.2%) in GE and 3.1% (95%CI 2.4%; 3.7%), in NA. The adjusted prevalence of positive ELISA-NP, SN and MI were 5.7%, 5.0% and 10.0% in IDF, 6.0%, 4.3% and 8.6% in GE, and 0.6%, 1.3% and 2.5% in NA, respectively. A higher seroprevalence was observed in younger participants and when at least one child or adolescent lived in the same household. A lower seroprevalence was observed in smokers compared to non-smokers. Interpretation At the end of the lockdown the prevalence of anti-SARS-CoV-2 IgG or neutralizing antibodies remained low in the French adult population, even in regions with high reported rates of COVID-19.

Biased and unbiased estimation of the average lengths of stay in intensive care units in the COVID-19 pandemic

BackgroundThe average length of stay (LOS) in the intensive care unit (ICU_ALOS) is a helpful parameter summarizing critical bed occupancy. During the outbreak of a novel virus, estimating early a reliable ICU_ALOS estimate of infected patients is critical to accurately parameterize models examining mitigation and preparedness scenarios. MethodsTwo estimation methods of ICU ALOS were compared: the average LOS of already discharged patients at the date of estimation (DPE), and a standard parametric method used for analyzing time-to-event data which fits a given distribution to observed data and includes the censored stays of patients still treated in the ICU at the date of estimation (CPE). Methods were compared on a series of all COVID-19 consecutive cases (n=59) admitted in an ICU devoted to such patients. At the last follow-up date, 99 days after the first admission, all patients but one had been discharged. A simulation study investigated the generalizability of the methods patterns. CPE and DPE estimates were also compared to COVID-19 estimates reported to date. FindingsLOS [≥] 30 days concerned 14 out of the 59 patients (24%), including 8 of the 21 deaths observed. Two months after the first admission, 38 (64%) patients had been discharged, with corresponding DPE and CPE estimates of ICU_ALOS (95%CI) at 13.0 days (10.4-15.6) and 23.1 days (18.1-29.7), respectively. Series true ICU_ALOS was greater than 21 days, well above reported estimates to date. InterpretationDischarges of short stays are more likely observed earlier during the course of an outbreak. Cautious unbiased ICU_ALOS estimates suggest parameterizing a higher burden of ICU bed occupancy than that adopted to date in COVID-19 forecasting models. FundingSupport by the National Natural Science Foundation of China (81900097 to Dr. Zhou) and the Emergency Response Project of Hubei Science and Technology Department (2020FCA023 to Pr. Zhao).

Predictors of IV behaviors during and after the 2009 influenza pandemic in France.

BACKGROUND: Controversies about the 2009 H1N1 pandemic influenza vaccination might have impacted the motivational processes that underlie individual immunization against seasonal influenza. The purpose of this article is to investigate correlates of vaccine uptake during and after the pandemic. METHODS: Data from the 1174 subjects of the CoPanFlu France cohort aged 15 and over were used. We used logistic regression models to identify social and behavioral predictors of getting vaccinated against seasonal influenza in 2009-2010 and in 2010-2011 and against H1N1 influenza in 2009-2010. RESULTS: This study points out that correlates of vaccination behaviors varied according to the vaccine. Respondents under 65 years who adopted the seasonal influenza vaccine were, as usual, more likely to belong to a target group and have a lower education, contrary to subjects who chose the pandemic vaccine. Exceptionally during the pandemic, a higher socioeconomic status also led to adoption of either vaccine. Motivational processes differed by vaccine. Uptaking the "new" pandemic vaccine was the result of a deliberative decision-making process, influenced by cognitive factors related to the pandemic context (such as perceived severity of the H1N1 flu strain and trust in public health authorities). In contrast, respondents got the seasonal flu vaccine without relying on explicit justifications, but instead through habit of performing this behavior in the past. CONCLUSIONS: Target groups for seasonal influenza but not those for pandemic influenza were more likely to adopt the pandemic vaccine, which is a cause for great concern. This may be due to large extent to the automatic and habitual nature of influenza vaccination decisions. Public health authorities, should pay more attention to situational than informational cues to facilitate vaccine uptake among priority groups, especially in case of mild pandemic influenza.