Effectiveness and safety of belantamab mafodotin in patients with relapsed or refractory multiple myeloma in real-world setting: The ALFA study.

OBJECTIVES: The aim of this noninterventional, retrospective ALFA study was to describe belantamab mafodotin effectiveness and safety in patients with relapsed/refractory multiple myeloma in a real-world setting in France. METHODS: Response rate, progression-free survival (PFS), overall survival (OS), and safety were assessed. RESULTS: Among the 184 patients initiating belantamab mafodotin treatment, the overall response rate was 32.7% (≥very good partial response [VGPR] 20.4%, partial response [PR] 12.3%). The median PFS (mPFS) was 2.4 months (95% confidence interval [CI]: 1.9, 3.3), and median OS (mOS) was 8.8 months (95% CI: 6.3, 11.6). According to best response, mPFS was 20.6 months (95% CI: 12.1, not reached [NR]) in patients with ≥VGPR and 7.1 months (95% CI: 4.6, 9.4) in patients with PR; mOS was NR in patients with ≥VGPR and 17.5 months (95% CI: 7.7, NR) in patients with PR. For both OS and PFS, no differences were found in subgroups of interest. The adverse events (AEs) reported in 159 patients (86.4%) were mostly ocular AEs. CONCLUSIONS: ALFA, the largest real-world cohort conducted so far, confirms the results of belantamab mafodotin as reported in the DREAMM-2 clinical trial. The clinical benefit is significant as long as the patient is a responder.

Factors related to increased alcohol misuse by students compared to non-students during the first Covid-19 lockdown in France: the Confins study.

BACKGROUND: The closure of bars and lockdowns related to the Covid-19 pandemic changed alcohol use levels in France during the spring of 2020. We wondered whether this sudden cessation of social interactions impacted students more than non-students and what factors specific to students would explain the increase in alcohol misuse. The aims of this study were to compare self-reported changes in alcohol misuse (alcohol intake and binge-drinking frequency) during the first Covid-19 lockdown from March 17 to May 10, 2020, between French students and non-students and describe factors associated with this alcohol misuse in each subgroup. METHODS: Data collected in the Confins study from April 8 to May 10, 2020, were used in cross-sectional analyses stratified by student status. Multiple logistic regression was performed to estimate the association between self-reported increase in alcohol intake or binge-drinking frequency (at least six drinks of alcohol on one occasion) and demographic, socioeconomic, and clinical factors, as well as conditions associated with the Covid-19 pandemic. The population-attributable fraction was then used to estimate the contribution of identified risk factors to increased alcohol misuse in students and non-students. RESULTS: Among both students and non-students, a self-reported decrease or no change in alcohol intake or binge-drinking was more common than an increase. However, the risk factors explaining an increase in alcohol intake differed among students (≥ 25 years old, not working or studying in the health field, and having suicidal ideation during the last 7 days) and non-students (having a medical diagnosis of mental disorders). The risk factors explaining an increase in binge-drinking frequency were similar in the two subgroups (being a tobacco smoker before lockdown and not practicing any physical activity during the last 7 days), except suicidal thoughts, which was a risk factor for alcohol misuse specific to students. CONCLUSIONS: These results highlight the vulnerability of certain French students to alcohol misuse and the necessity of combining both mental health and substance use-related screening in the student population.

Patients' testimonies, feelings, complaints and emotional experiences with dermatoses on open social media: The French infodemiologic patient's free speech study.

BACKGROUND: Dermatoses represent a significant burden. Patients and their caregivers can turn to social media and digital communities to exchange with each other. These public exchanges constitute real-life data that can be analysed to better understand the patients' feelings and expectations, and the daily difficulties encountered. OBJECTIVE: An infodemiologic study of public testimonies of patients and caregivers related to five dermatoses: eczema, rosacea, vitiligo, acne and psoriasis, over a 3-year time frame (September 2018 to September 2021) in France. To identify main topics of discussion, encountered difficulties and unmet medical needs. METHODS: Data extraction was performed based on a list of pertinent keywords. Web-users' profiles were determined by a specifically trained machine learning algorithm. Encountered difficulties were identified by manual annotation based on a standardized search grid. Co-occurrence analysis of difficulties allowed contextualization of challenges and unmet needs for each dermatosis. RESULTS: A total of 20,282 messages coming from 16,800 web users was extracted. The main topics of discussion were 'Impact on self- image and self-confidence' (23.6%), 'Generic discussion about therapeutics' (23.3%) and 'Burden of others' gaze' (12.8%). The top three mentioned difficulties for the five targeted dermatoses were similar and focused on 'Fear of/and management of symptoms', 'Impact on/and mood management' and 'Damaged self-image'. CONCLUSION: This infodemiologic study highlighted the real-life management of five skin diseases by patients and their caregivers, who turned to social networks to openly express their suffering and seek solutions. The joined analysis of the five diseases enabled a common comprehension of what it is to live with a skin disease, from a patient-centric point of view. The specific analysis of each patient group objectified specific challenges, and main unmet medical needs.

Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale.

BACKGROUND: The use of the internet to look for information about vaccines has skyrocketed in the last years, especially with the COVID-19 pandemic. Digital vaccine literacy (DVL) refers to understanding, trust, appraisal, and application of vaccine-related information online. OBJECTIVE: This study aims to develop a tool measuring DVL and assess its psychometric properties. METHODS: A 7-item online questionnaire was administered to 848 French adults. Different psychometric analyses were performed, including descriptive statistics, exploratory factor analysis, confirmatory factor analysis, and convergent and discriminant validity. RESULTS: We developed the 7-item DVL scale composed of 3 factors (understanding and trust official information; understanding and trust information in social media; and appraisal of vaccine information online in terms of evaluation of the information and its application for decision making). The mean DVL score of the baseline sample of 848 participants was 19.5 (SD 2.8) with a range of 7-28. The median score was 20. Scores were significantly different by gender (P=.24), age (P=.03), studying or working in the field of health (P=.01), and receiving regular seasonal flu shots (P=.01). CONCLUSIONS: The DVL tool showed good psychometric proprieties, resulting in a promising measure of DVL.

A New Method to Extract Health-Related Quality of Life Data From Social Media Testimonies: Algorithm Development and Validation.

BACKGROUND: Monitoring social media has been shown to be a useful means to capture patients' opinions and feelings about medical issues, ranging from diseases to treatments. Health-related quality of life (HRQoL) is a useful indicator of overall patients' health, which can be captured online. OBJECTIVE: This study aimed to describe a social media listening algorithm able to detect the impact of diseases or treatments on specific dimensions of HRQoL based on posts written by patients in social media and forums. METHODS: Using a web crawler, 19 forums in France were harvested, and messages related to patients' experience with disease or treatment were specifically collected. The SF-36 (Short Form Health Survey) and EQ-5D (Euro Quality of Life 5 Dimensions) HRQoL surveys were mixed and adapted for a tailored social media listening system. This was carried out to better capture the variety of expression on social media, resulting in 5 dimensions of the HRQoL, which are physical, psychological, activity-based, social, and financial. Models were trained using cross-validation and hyperparameter optimization. Oversampling was used to increase the infrequent dimension: after annotation, SMOTE (synthetic minority oversampling technique) was used to balance the proportions of the dimensions among messages. RESULTS: The training set was composed of 1399 messages, randomly taken from a batch of 20,000 health-related messages coming from forums. The algorithm was able to detect a general impact on HRQoL (sensitivity of 0.83 and specificity of 0.74), a physical impact (0.67 and 0.76), a psychic impact (0.82 and 0.60), an activity-related impact (0.73 and 0.78), a relational impact (0.73 and 0.70), and a financial impact (0.79 and 0.74). CONCLUSIONS: The development of an innovative method to extract health data from social media as real time assessment of patients' HRQoL is useful to a patient-centered medical care. As a source of real-world data, social media provide a complementary point of view to understand patients' concerns and unmet needs, as well as shedding light on how diseases and treatments can be a burden in their daily lives.

Social Media Platforms Listening Study on Atopic Dermatitis: Quantitative and Qualitative Findings.

BACKGROUND: Atopic dermatitis (AD) is a chronic, pruritic, inflammatory disease that occurs most frequently in children but also affects many adults. Social media have become key tools for finding and disseminating medical information. OBJECTIVE: The aims of this study were to identify the main themes of discussion, the difficulties encountered by patients with respect to AD, the impact of the pathology on quality of life (QoL; physical, psychological, social, or financial), and to study the perception of patients regarding their treatment. METHODS: A retrospective study was carried out by collecting social media posts in French language written by internet users mentioning their experience with AD, their QoL, and their treatments. Messages related to AD discomfort posted between July 1, 2010, and October 23, 2020, were extracted from French-speaking publicly available online forums. Automatic and manual extractions were implemented to create a general corpus and 2 subcorpuses depending on the level of control of the disease. RESULTS: A total of 33,115 messages associated with AD were included in the analysis corpus after extraction and cleaning. These messages were posted by 15,857 separate web users, most of them being women younger than 40 years. Tips to manage AD and everyday hygiene/treatments were among the most discussed topics for controlled AD subcorpus, while baby-related topics and therapeutic failure were among the most discussed topics for insufficiently controlled AD subcorpus. QoL was discussed in both subcorpuses with a higher proportion in the controlled AD subcorpus. Treatments and their perception were also discussed by web users. CONCLUSIONS: More than just emotional or peer support, patients with AD turn to online forums to discuss their health. Our findings show the need for an intersection between social media and health care and the importance of developing new approaches such as the Atopic Dermatitis Control Tool, which is a patient-related disease severity assessment tool focused on patients with AD.

Who is hesitant about Covid-19 vaccines? The profiling of participants in a French online cohort.

OBJECTIVES: To report the characteristics of vaccine-hesitant individuals in a French-speaking adult population in the context of the SARS-CoV-2 pandemic; and to identify predictors of hesitancy about Covid-19-related vaccines. METHODS: Between April and May 2020, 1640 French-speaking adults participating in an online cohort were classified according to their attitudes towards vaccination as: "hesitant", "anti-vaccination", and "pro-vaccination". Descriptive statistics, univariate multinomial regression models and multivariate analyses were compiled and carried out. RESULTS: At the time of inclusion, compared to pro-vaccination participants, hesitant participants were more frequently females (p=0.044), not annually vaccinated against flu (p=0.026), less optimistic about the discovery of a treatment against Covid-19 in a few months (p<0.001), less ready to undergo this treatment (p<0.001), presenting less trust in the ability of public health authorities to control the pandemic (p=0.036) and reporting lower scores on knowledge-related scales (p values from <0.001 to 0.002). Univariate analyses confirmed these results with odds ratios ranging from 1.51 [1.05-2.17] to 2.19 [1.56-3.07]. In the multivariate models, the remaining variables associated with hesitant compared to pro-vaccination attitudes were discovery of a treatment against Covid-19 in a few months (OR=2.57 [1.73-3.81]), being ready to undergo this treatment (OR=7.07 [4.89-10.22]), digital vaccine literacy (OR=1.70 [1.14-2.54]) and general health literacy (OR=1.49 [1.03-2.15]). DISCUSSION: In a continuum of relative acceptance of Covid-19-related vaccines, hesitant individuals were situated in between the behaviours and characteristics of pro-vaccination and anti-vaccination groups. While their characteristics were in line with the literature, this study was the first to report data on health literacy, digital vaccine literacy and capacity to detect fake news associated with vaccine hesitancy. CONCLUSIONS: While failing to identify straightforward predictors, findings suggest that continued education and communication campaigns focused on improving vaccine literacy, particularly among women younger than 35 years, could heighten the proportion of persons accepting vaccination.

Effects of short- and long-acting beta-agonists on asthma exacerbations: a prospective cohort.

BACKGROUND: In asthma, short- and long-acting ß-agonists (SABAs and LABAs) should be used together with inhaled corticosteroids (ICS), and regular use is inappropriate. OBJECTIVE: To assess the relationship between patterns of use of therapy and asthma exacerbations (AEx). METHODS: Patients with asthma (6-40 years) were enrolled in France and the United Kingdom. Prescribing data, computer-assisted telephone interviews (CATIs), and text messages assessed medication use and AEx over a maximum period of 24 months. Generalized linear mixed models provided AEx risks associated with therapy. RESULTS: Among the 908 patients (median age: 20.0 years, 46.6% women, 24.5% children) answering a total of 4248 CATIs over 486 (±235) days, regular (ie, daily) use was more frequent for single LABAs and fixed dose combinations (FDCs) than for single ICS (75.6%, 70.1%, and 65.4% of investigated periods of use, respectively). Regular (ie, daily or almost daily) SABA use was observed for 21.1% of periods of use. Altogether, 265 patients (29.2%) experienced 1 or more AEx. The ORs for AEx risk related to regular vs no use of FDCs, single ICS, and single LABAs were 0.98 (95% CI = [0.73-1.33]), 0.90 (95% CI = [0.61-1.33]), and 1.29 (95% CI = [0.76-2.17]), respectively, after adjustment for cotherapy, sociodemographic, and disease characteristics. The OR was 2.09 (95% CI = [1.36-3.21]) in regular SABA users. CONCLUSION: Inhaled corticosteroids and FDCs were often used intermittently, whereas SABAs and LABAs could be used regularly, and exacerbations were frequent. Compared with non-users, the risk of exacerbation increased moderately under regular use of single LABAs, whereas it doubled, significantly, in regular SABA users, likely in relationship with poor overall asthma control.

Physicians' Perceptions of the Use of a Chatbot for Information Seeking: Qualitative Study.

BACKGROUND: Seeking medical information can be an issue for physicians. In the specific context of medical practice, chatbots are hypothesized to present additional value for providing information quickly, particularly as far as drug risk minimization measures are concerned. OBJECTIVE: This qualitative study aimed to elicit physicians' perceptions of a pilot version of a chatbot used in the context of drug information and risk minimization measures. METHODS: General practitioners and specialists were recruited across France to participate in individual semistructured interviews. Interviews were recorded, transcribed, and analyzed using a horizontal thematic analysis approach. RESULTS: Eight general practitioners and 2 specialists participated. The tone and ergonomics of the pilot version were appreciated by physicians. However, all participants emphasized the importance of getting exhaustive, trustworthy answers when interacting with a chatbot. CONCLUSIONS: The chatbot was perceived as a useful and innovative tool that could easily be integrated into routine medical practice and could help health professionals when seeking information on drug and risk minimization measures.

Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach.

BACKGROUND: Medication nonadherence is a major impediment to the management of many health conditions. A better understanding of the factors underlying noncompliance to treatment may help health professionals to address it. Patients use peer-to-peer virtual communities and social media to share their experiences regarding their treatments and diseases. Using topic models makes it possible to model themes present in a collection of posts, thus to identify cases of noncompliance. OBJECTIVE: The aim of this study was to detect messages describing patients' noncompliant behaviors associated with a drug of interest. Thus, the objective was the clustering of posts featuring a homogeneous vocabulary related to nonadherent attitudes. METHODS: We focused on escitalopram and aripiprazole used to treat depression and psychotic conditions, respectively. We implemented a probabilistic topic model to identify the topics that occurred in a corpus of messages mentioning these drugs, posted from 2004 to 2013 on three of the most popular French forums. Data were collected using a Web crawler designed by Kappa Santé as part of the Detec't project to analyze social media for drug safety. Several topics were related to noncompliance to treatment. RESULTS: Starting from a corpus of 3650 posts related to an antidepressant drug (escitalopram) and 2164 posts related to an antipsychotic drug (aripiprazole), the use of latent Dirichlet allocation allowed us to model several themes, including interruptions of treatment and changes in dosage. The topic model approach detected cases of noncompliance behaviors with a recall of 98.5% (272/276) and a precision of 32.6% (272/844). CONCLUSIONS: Topic models enabled us to explore patients' discussions on community websites and to identify posts related with noncompliant behaviors. After a manual review of the messages in the noncompliance topics, we found that noncompliance to treatment was present in 6.17% (276/4469) of the posts.

Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis.

BACKGROUND: While traditional signal detection methods in pharmacovigilance are based on spontaneous reports, the use of social media is emerging. The potential strength of Web-based data relies on their volume and real-time availability, allowing early detection of signals of disproportionate reporting (SDRs). OBJECTIVE: This study aimed (1) to assess the consistency of SDRs detected from patients' medical forums in France compared with those detected from the traditional reporting systems and (2) to assess the ability of SDRs in identifying earlier than the traditional reporting systems. METHODS: Messages posted on patients' forums between 2005 and 2015 were used. We retained 8 disproportionality definitions. Comparison of SDRs from the forums with SDRs detected in VigiBase was done by describing the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, receiver operating characteristics curve, and the area under the curve (AUC). The time difference in months between the detection dates of SDRs from the forums and VigiBase was provided. RESULTS: The comparison analysis showed that the sensitivity ranged from 29% to 50.6%, the specificity from 86.1% to 95.5%, the PPV from 51.2% to 75.4%, the NPV from 68.5% to 91.6%, and the accuracy from 68% to 87.7%. The AUC reached 0.85 when using the metric empirical Bayes geometric mean. Up to 38% (12/32) of the SDRs were detected earlier in the forums than that in VigiBase. CONCLUSIONS: The specificity, PPV, and NPV were high. The overall performance was good, showing that data from medical forums may be a valuable source for signal detection. In total, up to 38% (12/32) of the SDRs could have been detected earlier, thus, ensuring the increased safety of patients. Further enhancements are needed to investigate the reliability and validation of patients' medical forums worldwide, the extension of this analysis to all possible drugs or at least to a wider selection of drugs, as well as to further assess performance against established signals.

Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review.

BACKGROUND: The underreporting of adverse drug reactions (ADRs) through traditional reporting channels is a limitation in the efficiency of the current pharmacovigilance system. Patients' experiences with drugs that they report on social media represent a new source of data that may have some value in postmarketing safety surveillance. OBJECTIVE: A scoping review was undertaken to explore the breadth of evidence about the use of social media as a new source of knowledge for pharmacovigilance. METHODS: Daubt et al's recommendations for scoping reviews were followed. The research questions were as follows: How can social media be used as a data source for postmarketing drug surveillance? What are the available methods for extracting data? What are the different ways to use these data? We queried PubMed, Embase, and Google Scholar to extract relevant articles that were published before June 2014 and with no lower date limit. Two pairs of reviewers independently screened the selected studies and proposed two themes of review: manual ADR identification (theme 1) and automated ADR extraction from social media (theme 2). Descriptive characteristics were collected from the publications to create a database for themes 1 and 2. RESULTS: Of the 1032 citations from PubMed and Embase, 11 were relevant to the research question. An additional 13 citations were added after further research on the Internet and in reference lists. Themes 1 and 2 explored 11 and 13 articles, respectively. Ways of approaching the use of social media as a pharmacovigilance data source were identified. CONCLUSIONS: This scoping review noted multiple methods for identifying target data, extracting them, and evaluating the quality of medical information from social media. It also showed some remaining gaps in the field. Studies related to the identification theme usually failed to accurately assess the completeness, quality, and reliability of the data that were analyzed from social media. Regarding extraction, no study proposed a generic approach to easily adding a new site or data source. Additional studies are required to precisely determine the role of social media in the pharmacovigilance system.

Real-life use of fluticasone propionate/salmeterol in patients with chronic obstructive pulmonary disease: a French observational study.

BACKGROUND: In Europe, administration of an inhaled corticosteroid (ICS) combined with a long-acting ß2 agonist is approved in chronic obstructive pulmonary disease (COPD) patients with a pre-bronchodilator FEV1 < 60% predicted normal, a history of repeated exacerbations, and who have significant symptoms despite regular bronchodilator therapy. Minimal data are available on the use of the fluticasone propionate/salmeterol xinafoate combination (FSC) in the real-life COPD setting and prescription compliance with the licensed specifications. METHODS: A French observational study was performed to describe the COPD population prescribed with FSC, prescription modalities, and the coherence of prescription practices with the market authorized population. Data were collected for patients initiating FSC treatment (500 µg fluticasone propionate, 50 µg salmeterol, dry powder inhaler) prescribed by a general practitioner (GP) or a pulmonologist, using physician and patient questionnaires. RESULTS: A total of 710 patients were included, 352 by GPs and 358 by pulmonologists. Mean age was over 60 years, and 70% of patients were male. More than half were retired, and overweight or obese. Approximately half were current smokers and one-third had cardiovascular comorbidities. According to both physician evaluation and GOLD 2006 classification, the majority of patients (>75%) had moderate to very severe COPD. Strict compliance by prescribing physicians with the market-approved population for dry powder inhaler SFC in COPD was low, notably in ICS-naïve patients; all three conditions were fulfilled in less than a quarter of patients with prior ICS and less than 7% of ICS-naïve patients. CONCLUSIONS: Prescription of dry powder inhaler SFC by GPs and pulmonologists has very low conformity with the three conditions defining the licensed COPD population. Prescription practices need to be improved and systematic FEV1 evaluation for COPD diagnosis and treatment management should be emphasized.

The EMMY longitudinal, cohort study: real-world data to describe multiple myeloma management and outcomes as more therapeutic options emerge.

The therapeutic management of patients with multiple myeloma (MM) is complex. Despite substantial advances, MM remains incurable, and management involves cycles of treatment response, disease relapse, and further therapy. Currently, evidence to support the therapeutic decision is limited. Thus, the EMMY longitudinal, real-world study was designed to annually assess therapeutic management of MM in France to provide evidence to support physicians. During an annual prespecified 3-month recruitment period, eligible patients will be identified from their medical records. Adults aged ≥18 years diagnosed with symptomatic MM and requiring systemic treatment will be eligible. The primary objective, the evolution of MM therapeutic management, will be described, as well as the impact on the following outcomes: time-to-next treatment (TTNT), progression-free survival (PFS), and overall survival (OS). The study plans to recruit 5000 patients over 6 years: 700 to 900 patients annually. EMMY is a unique opportunity to collect real-world data to describe the evolving MM therapeutic landscape and record outcomes in France. These data will provide annual snapshots of various aspects of MM management. This knowledge will provide physicians with real-life, evidence-based data for therapeutic decision-making and ultimately improve treatment for MM patients.

Real-life effectiveness of carfilzomib in patients with relapsed multiple myeloma receiving treatment in the context of early access: The CARMYN study.

The real-life retrospective observational study CARMYN aimed at investigating the long-term efficacy and safety of carfilzomib in combination with dexamethasone and lenalidomide (KRd, 159 patients). These patients (62% in first and 38% in second relapse, median age 62 yo) were treated between 02/2014 and 02/2017. Most had been pre-exposed to bortezomib (98.2%) and to an IMID (75.4%). At the time of collection, 90% had permanently discontinued carfilzomib. Data collection was conducted from January to July 2021 in 27 participating sites, after a median of 39 months follow-up. For patients treated with KRd, an overall response rate of 78.4% translated in a median progression free survival (PFS) of 24.0 months (95% CI 18.8-27.6) and a median overall survival (OS) of 51.1 months (95% CI 41.3-not reached). Results were poorer but difficult to interpret in the small cohort of Kd recipients. The study is one of the longest real-life studies of carfilzomib treatment in patients in first or second relapse. CARMYN confirmed the real-life long-term efficacy of carfilzomib in combination with lenalidomide and dexamethasone with results similar to those of clinical trials. The KRd regimen is thus an option to consider for late relapses in the current context of MM management.

Characteristics of Severe Non-Eosinophilic Asthma: Analysis of Data from 1075 Patients Included in the FASE-CPHG Study.

Purpose: Data on severe non-eosinophilic asthma are scarce. Moreover, as compared with eosinophilic asthma, non-eosinophilic asthma less frequently benefits from the latest therapeutic advances. This study aimed to highlight differences between non-eosinophilic and eosinophilic asthma as they may help the development of new therapeutic agents. Patients and Methods: Data from 1075 adult patients with severe asthma (GINA treatment: 4/5) collected during the cross-sectional non-interventional FASE-CPHG study were analyzed. Two groups of patients (EOS-/EOS+) were constituted based on blood eosinophil counts (cutoff value: 300 G/l). Characteristics of EOS- (N = 500) and EOS+ (N = 575) patients were described; EOS- patients were also described according to their allergic profile based on skin allergy or allergen-specific immunoglobulin E (IgE) assays (cutoff value: 150 IU/mL). Results: Percentages of patients with obesity (29%), allergen sensitization (57%), or ≥2 annual exacerbations in the last 12 months (68%) were similar in both groups. As compared with EOS+ patients, EOS- patients less frequently reported chronic rhinitis (41.1% vs 50.5%, p < 0.01) or nasal polyposis (13.6% vs 27.5%, p < 0.01), and more frequently reported GERD (45.2% vs 37.1%, p < 0.01), anxiety (45.5% vs 38.1%, p = 0.01), or depression (18.3% vs 13.3%, p = 0.02). EOS- patients had lower serum total IgE levels (median: 158 vs 319 IU/mL, p < 0.01) and were less frequently treated with long-term oral corticosteroid therapy (16.0% vs 23.7%; p < 0.01). Their asthma was more frequently uncontrolled (48% vs 40%, p < 0.01). Similar results were found with a cutoff value for blood eosinophil counts at 150 G/l. EOS- patients with allergic profile less frequently reported high serum IgE levels (35.6% vs 57.9%, p < 0.01). EOS- and EOS+ patients treated with long-term oral corticosteroids had similar profiles. Conclusion: In our patients with severe asthma, EOS- asthma was approximately as frequent as EOS+ asthma; EOS- asthma was frequently poorly controlled or uncontrolled, confirming the need for a better management. Allergy did not appear to worsen clinical profile.

Randomised, double-blind, placebo-controlled trial of glycopyrronium in children and adolescents with severe sialorrhoea and neurodisabilities: protocol of the SALIVA trial.

INTRODUCTION: Severe sialorrhoea is a common, distressing problem in children/adolescents with neurodisabilities, which has adverse health and social consequences. The SALIVA trial is designed to evaluate the efficacy and safety of a paediatric-specific oral solution of glycopyrronium along with its impact on quality-of-life (QoL), which has been lacking from previous trials of sialorrhoea treatments. METHODS AND ANALYSIS: A double-blind, placebo-controlled, randomised phase IV trial is ongoing in several centres across France. Eighty children aged 3-17 years with severe sialorrhoea (≥6 on the modified Teachers Drooling Scale) related to chronic neurological disorders in whom non-pharmacological standard of care has already been implemented or has failed, will be recruited. Patients will be randomised 1:1 to receive a 2 mg/5 mL solution of glycopyrronium bromide (Sialanar 320 µg/mL glycopyrronium) or placebo three times daily during a 3-month blinded period. After Day 84, participants will be invited into a 6-month, open-label study extension period, where they will all receive glycopyrronium. The primary endpoint of the double-blind period will be the change from baseline to Day 84 in the Drooling Impact Scale (DIS), a validated measure to assess sialorrhoea. A series of secondary efficacy endpoints involving change in total DIS, specific DIS items and response (DIS improvement ≥13.6 points) will be analysed in a prespecified hierarchy. QoL data will be collected from parents, caregivers and patients where possible using specific DIS questions and DISABKIDS questionnaires. Safety endpoints, including adverse events, will be assessed throughout the trial periods. ETHICS AND DISSEMINATION: In total, 87 children have been recruited and recruitment is now complete. Final results are expected by the end of 2023. Findings will be presented at conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: EudraCT 2020-005534-15.

Contribution of perceived loneliness to suicidal thoughts among French university students during the COVID-19 pandemic.

Restrictive measures during the COVID-19 epidemic have led to increased levels of loneliness, especially among university students, although the influence on suicidal thoughts remains unclear. In this cross-sectional study of 1913 French university students, those with the highest level of loneliness had a fourfold increased risk of suicidal thoughts. Perceived loneliness should be incorporated into suicide risk assessment, and assistance in coping with loneliness should be considered as a means of reducing suicidal risk in vulnerable groups, like university students.

Identifying Profiles and Symptoms of Patients With Long COVID in France: Data Mining Infodemiology Study Based on Social Media.

Background: Long COVID-a condition with persistent symptoms post COVID-19 infection-is the first illness arising from social media. In France, the French hashtag #ApresJ20 described symptoms persisting longer than 20 days after contracting COVID-19. Faced with a lack of recognition from medical and official entities, patients formed communities on social media and described their symptoms as long-lasting, fluctuating, and multisystemic. While many studies on long COVID relied on traditional research methods with lengthy processes, social media offers a foundation for large-scale studies with a fast-flowing outburst of data. Objective: We aimed to identify and analyze Long Haulers' main reported symptoms, symptom co-occurrences, topics of discussion, difficulties encountered, and patient profiles. Methods: Data were extracted based on a list of pertinent keywords from public sites (eg, Twitter) and health-related forums (eg, Doctissimo). Reported symptoms were identified via the MedDRA dictionary, displayed per the volume of posts mentioning them, and aggregated at the user level. Associations were assessed by computing co-occurrences in users' messages, as pairs of preferred terms. Discussion topics were analyzed using the Biterm Topic Modeling; difficulties and unmet needs were explored manually. To identify patient profiles in relation to their symptoms, each preferred term's total was used to create user-level hierarchal clusters. Results: Between January 1, 2020, and August 10, 2021, overall, 15,364 messages were identified as originating from 6494 patients of long COVID or their caregivers. Our analyses revealed 3 major symptom co-occurrences: asthenia-dyspnea (102/289, 35.3%), asthenia-anxiety (65/289, 22.5%), and asthenia-headaches (50/289, 17.3%). The main reported difficulties were symptom management (150/424, 35.4% of messages), psychological impact (64/424,15.1%), significant pain (51/424, 12.0%), deterioration in general well-being (52/424, 12.3%), and impact on daily and professional life (40/424, 9.4% and 34/424, 8.0% of messages, respectively). We identified 3 profiles of patients in relation to their symptoms: profile A (n=406 patients) reported exclusively an asthenia symptom; profile B (n=129) expressed anxiety (n=129, 100%), asthenia (n=28, 21.7%), dyspnea (n=15, 11.6%), and ageusia (n=3, 2.3%); and profile C (n=141) described dyspnea (n=141, 100%), and asthenia (n=45, 31.9%). Approximately 49.1% of users (79/161) continued expressing symptoms after more than 3 months post infection, and 20.5% (33/161) after 1 year. Conclusions: Long COVID is a lingering condition that affects people worldwide, physically and psychologically. It impacts Long Haulers' quality of life, everyday tasks, and professional activities. Social media played an undeniable role in raising and delivering Long Haulers' voices and can potentially rapidly provide large volumes of valuable patient-reported information. Since long COVID was a self-titled condition by patients themselves via social media, it is imperative to continuously include their perspectives in related research. Our results can help design patient-centric instruments to be further used in clinical practice to better capture meaningful dimensions of long COVID.