Metrological performances of the global chronic morbidity indicator of the Minimum European Health Module and implications for chronic disease prevalence and socioeconomic gradient estimations.

BACKGROUND: Although the global chronic morbidity indicator (GCMI) of the Minimum European Health Module (MEHM) was not specifically designed to monitor chronic disease in the population, it is increasingly used for this purpose in Europe and elsewhere. However, its metrological characteristics have seldom been examined, with various sensitivity issues being raised. The present study investigated the metrological performances of the GCMI and analyzed its implications in terms of prevalence and demographic and socioeconomic gradients of chronic conditions in the population. METHODS: We used data from two large French nationwide representative surveys with cross-sectional and longitudinal data conducted between 2010 and 2021. The surveys used MEHM and collected data on numerous chronic conditions and socioeconomic indicators. Criterion and predictive validity of the GCMI regarding chronic conditions and the resultant socioeconomic gradients were compared with indicators based on reports of individual chronic conditions. RESULTS: GCMI sensitivity to capture chronic conditions varied from <20 to 80% depending on the chronic condition. Number of chronic conditions, gender, age and education were also associated with GCMI endorsement. However, the GCMI was predictive of mortality and activity limitations independently of individual conditions. CONCLUSION: The varying lack of sensitivity depending on the chronic condition and the respondent's sociodemographic status may bias estimates of demographic and socioeconomic gradients compared with indicators based on reports of individual chronic conditions. Differences between GCMI and list-based approaches should be more cautiously considered when monitoring chronic conditions in the population. These approaches should be viewed as complementary rather than contradictory or interchangeable.

Multimorbidity and frailty are associated with poorer SARS-CoV-2-related outcomes: systematic review of population-based studies.

BACKGROUND: Estimating the risks and impacts of COVID-19 for different health groups at the population level is essential for orienting public health measures. Adopting a population-based approach, we conducted a systematic review to explore: (1) the etiological role of multimorbidity and frailty in developing SARS-CoV-2 infection and COVID-19-related short-term outcomes; and (2) the prognostic role of multimorbidity and frailty in developing short- and long-term outcomes. This review presents the state of the evidence in the early years of the pandemic. It was conducted within the European Union Horizon 2020 program (No: 101018317); Prospero registration: CRD42021249444. METHODS: PubMed, Embase, World Health Organisation COVID-19 Global literature on coronavirus disease, and PsycINFO were searched between January 2020 and 7 April 2021 for multimorbidity and 1 February 2022 for frailty. Quantitative peer-reviewed studies published in English with population-representative samples and validated multimorbidity and frailty tools were considered. RESULTS: Overall, 9,701 records were screened by title/abstract and 267 with full text. Finally, 14 studies were retained for multimorbidity (etiological role, n = 2; prognostic, n = 13) and 5 for frailty (etiological role, n = 2; prognostic, n = 4). Only short-term outcomes, mainly mortality, were identified. An elevated likelihood of poorer outcomes was associated with an increasing number of diseases, a higher Charlson Comorbidity Index, different disease combinations, and an increasing frailty level. DISCUSSION: Future studies, which include the effects of recent virus variants, repeated exposure and vaccination, will be useful for comparing the possible evolution of the associations observed in the earlier waves.

Prevalence, demographic and spatial distribution of treated epilepsy in France in 2020: a study based on the French national health data system.

BACKGROUND: Although still incomplete, the epidemiology of epilepsy shows substantial variations in the burden of the condition according to demographic, social and territorial characteristics. This study aimed to estimate the prevalence of treated epilepsy and to investigate its demographic and spatial distribution in 2020 in France, a country where the nationwide epidemiological situation of the condition remains largely unknown. METHODS: We used the French national health data system, which covers nearly the entire population residing in France (over 67 million of inhabitants in metropolitan and overseas departments). Prevalent cases were identified using long-term disease status, hospitalisation for epilepsy (ICD-10 codes G40 or G41), and reimbursements for antiseizure medications and electroencephalograms. RESULTS: In 2020, we identified 685,122 epilepsy cases, corresponding to an overall prevalence of 10.2 per 1000 inhabitants [95% confidence interval 10.1-10.2], with similar rates in men and women. Estimates were found to increase with age, with an accelerated rise in the second half of the life, which occurred earlier in men than in women. We observed a monotonic gradient of variation with socio-economic deprivation (in non-military metropolitan subjects aged 18-54 years) as well as territorial heterogeneity, with the mountainous centre of France as well as some French overseas departments having the highest prevalence. CONCLUSIONS: Our results revise upwards the estimation of epilepsy prevalence in France, showing that it now ranks among the highest in developed countries. Our study also confirms the important socio-territorial heterogeneity of the condition that reflects health inequalities in this country.

Complex association between post-COVID-19 condition and anxiety and depression symptoms.

BACKGROUND: To assess the associations between anxiety and depressive symptoms and post-COVID-19 condition (PCC) by exploring the direction of these associations and their relevance in the definition of PCC. METHODS: Nationwide survey among French adults, recruited between March and April, 2022, using a quota method to capture a representative sample of the general population with regard to sex, age, socioeconomic status, size of the place of residence, and region. We included all participants who met the World Health Organization (WHO) definition of PCC in addition to a random sample of participants infected with SARS-COV-2 for at least 3 months but without PCC. Self-reported anxiety and depressive symptoms, chronic anxiety and depression (for more than 3 years), and anxiety and depression were measured using the GAD-2 and PHQ-2 questionnaires, respectively. RESULTS: In a sample of 1,095 participants with PCC and 1,021 participants infected with SARS-COV-2 without PCC, 21% had self-reported anxiety and 18% self-reported depression, whereas 33% and 20% had current measured symptoms of anxiety and depression, respectively. The high prevalence of these symptoms cannot only be explained by the characterization of PCC, as only 13.4% of anxiety symptoms and 7.6% of depressive symptoms met the WHO criteria for PCC. Only one participant met the WHO criteria based on self-reported anxiety or depressive symptoms alone, as these were always combined with other symptoms in patients with PCC. Chronic symptoms were associated with PCC (aOR 1.27; 95% CI: 1.00-1.61). In addition, measured anxiety was associated with PCC (aOR = 1.29; 95% CI: 1.02-1.62). CONCLUSIONS: Pre-COVID-19 chronic anxiety and depression may play a role in the development of PCC or share vulnerability factors with it. Our results challenge the inclusion of anxiety and depression in the definition of PCC.

Dimensionality and invariance of ADL, IADL, BI-M2/WG-SS, and GALI in large surveys in France (2008-2014) and implications for measuring disability in epidemiology.

BACKGROUND: The epidemiological investigation and surveillance of disability requires well-constructed, invariant, and, if possible, exchangeable measures. However, the current or recommended measures have not been thoroughly investigated with respect to these issues. Here we examined the dimensional structure and invariance of four measures across sociodemographic groups: Activities of Daily Living (ADL), Instrumental Activities of Daily Living (IADL), Budapest Initiative Mark 2 (BI-M2) and Washington Group on Disability Statistics Short Set (WG-SS), and Global Activity Limitation Indicator (GALI). METHODS: We used data from three large nationwide representative surveys conducted in France between 2008 and 2014. The surveys included these four measures and classical and modern approaches (correlations, principal component analysis, Rasch modeling) were used to assess their dimensional structure as well as their invariance through differential item functioning (DIF) for sociodemographic characteristics. Polytomous logistic regression models were used to assess gradients in health inequalities associated with these measures. RESULTS: For many items of ADL, IADL, and BI-M2/WG-SS, we consistently observed disordered response thresholds, rejection of unidimensionality, and DIF evidence for sociodemographic characteristics across the survey samples. Health inequality gradients were erratic. In addition, it was impossible to identify a common continuum for GALI, ADL, IADL, and BI-M2/WG-SS or their constituent items. CONCLUSION: This study warns against the current practice of investigating disability in epidemiology using measures that are unsuitable for epidemiological use, incommensurable, and inadequate regarding the basic requisites of dimensionality and invariance. Developing invariant measures and equating them along a common continuum to enlarge the common bases of measurement should therefore be a priority.

Individual and contextual risk factors for mortality in nursing home residents during the first wave of COVID-19 in France: a multilevel analysis of a nationwide cohort study.

BACKGROUND: Mortality amongst nursing home (NH) residents increased by 43% during the first wave of coronavirus disease 2019 (COVID-19). We estimated the 'contextual effect' on mortality, tried to explain it by NH characteristics and identified resident- and NH-level risk factors for mortality. METHODS: The contextual effect was measured for two cohorts of NH residents managed by the general scheme in metropolitan France (RESIDESMS data from 03/01/2020 to 05/31/2020 and 03/01/2019 to 05/31/2019) by the intraclass correlation coefficient (ICC) estimated from mixed-effects logistic regression. RESULTS: Amongst 385,300 residents (5,339 NHs) included in 2020 (median age 89 years, 25% men), 9.1% died, versus 6.7% of 379,926 residents (5,270 NHs) in 2019. In the empty model, the ICC was 9.3% in 2020 and 1.5% in 2019. Only the geographic location partially explained the heterogeneity observed in 2020 (ICC: 6.5% after adjustment). Associations with mortality were stronger in 2020 than in 2019 for male sex and diabetes and weaker for heart disease, chronic respiratory disease and residence <6 months. Mortality was higher in 2020 (15.1%) than 2019 (6.3%) in NHs with at least one death with a mention of COVID-19 and more heterogeneous (ICC: 8.0%) than in the others (mortality: 6.7% in both years; ICC: 1.1%). CONCLUSION: Our results suggest that the COVID-19 crisis had a heterogeneous impact on mortality in NH residents and that geographic location explain a part of the contextual effect, which appears to have had little influence on mortality in NHs not being affected by the virus.

Costs and Survival of Patients having Experienced a Hospitalized Fall-Related Injury in France: A Population-Based Study.

OBJECTIVES: To assess the annual costs 2 years before and 2 years after a hospitalized fall-related injury (HFRI) and the 2-year survival among the population 75+ years old. DESIGN: We performed a population-based, retrospective cohort study using the French national health insurance claims database. SETTING AND PARTICIPANTS: Patients 75+ years old who had experienced a fall followed by hospitalization, identified using an algorithm based on International Classification of Diseases codes. Data related to a non-HFRI population matched on the basis of age, sex, and geographical area were also extracted. METHODS: Cost analyses were performed from a health insurance perspective and included direct costs. Survival analyses were conducted using Kaplan-Meier curves and Cox regression. Descriptive analyses of costs and regression modeling were carried out. Both regression models for costs and on survival were adjusted for age, sex, and comorbidities. RESULTS: A total of 1495 patients with HFRI and 4484 non-HFRI patients were identified. Patients with HFRI were more comorbid than the non-HFRI patients over the entire periods, particularly in the year before and the year after the HFRI. Patients with HFRI have significantly worse survival probabilities, with an adjusted 2.14-times greater risk of death over 2-year follow-up and heterogeneous effects determined by sex. The annual incremental costs between patients with HFRI and non-HFRI individuals were €1294 and €2378, respectively, 2 and 1 year before the HFRI, and €11,796 and €1659, respectively, 1 and 2 years after the HFRI. The main cost components differ according to the periods and are mainly accounted for by paramedical acts, hospitalizations, and drug costs. When fully adjusted, the year before the HFRI and the year after the HFRI are associated with increase in costs. CONCLUSIONS AND IMPLICATIONS: We have provided real-world estimates of the cost and the survival associated with patients with HFRI. Our results highlight the urgent need to manage patients with HFRI at an early stage to reduce the significant mortality as well as substantial additional cost management. Special attention must be paid to the fall-related increasing drugs and to optimizing management of comorbidities.

Impact of the First COVID-19 Pandemic Wave on Hospitalizations and Deaths Caused by Geriatric Syndromes in France: A Nationwide Study.

BACKGROUND: The fear of contracting coronavirus disease 2019 (COVID-19) and the preventive measures taken during the health crisis affected both people's lifestyles and the health system. This nationwide study aimed to investigate the impact of the first wave of the COVID-19 pandemic on hospitalizations and mortality related to geriatric syndromes (GS) in older adults in France. METHODS: The French National Health Data System was used to compare hospital admissions (excluding the main diagnosis of COVID-19) and mortality rates (using multiple-cause and initial-cause analyses, and both including or excluding confirmed/probable COVID-19) related to 10 different GS (dementia, other cognitive disorders and symptoms, delirium/disorientation, depression, undernutrition/malnutrition, dehydration, pressure ulcer, incontinence, fall/injury and femoral neck fracture) from January to September 2020 to rates observed in previous years. Analyses were stratified by age, sex, place of residence or place of death, and region. RESULTS: Hospitalization rates for all GS decreased during the first lockdown compared to the same periods in 2017-19 (from -59% for incontinence to -13% for femoral neck fractures). A dose-response relationship was observed between reduced hospitalizations and COVID-19-related mortality rates. Conversely, for almost all GS studied, excess mortality without COVID-19 was observed during this lockdown compared to 2015-17 (from +74% for delirium/disorientation to +8% for fall/injury), especially in nursing homes and at home. CONCLUSIONS: In France, during the first lockdown, a substantial decrease in hospitalizations for GS was accompanied by excess mortality. This decline in the use of services, which persisted beyond lockdown, may have a mid- and long-term impact on older adults' health.

Aetiological and prognostic roles of frailty, multimorbidity and socioeconomic characteristics in the development of SARS-CoV-2 health outcomes: protocol for systematic reviews of population-based studies.

INTRODUCTION: There is growing evidence that the impact of COVID-19 crisis may be stronger for individuals with multimorbidity, frailty and lower socioeconomic status. Existing reviews focus on few, mainly short-term effects of COVID-19 illness and patients with single chronic disease. Information is also largely missing for population representative samples.Applying population-based approach, the systematic reviews will have two objectives: (1) to evaluate the aetiological roles of frailty, multimorbidity and socioeconomic status on SARS-CoV-2 infection probability, hospitalisation, intensive care unit (ICU) admission, mechanical ventilation and COVID-19 related mortality among general population and (2) to investigate the prognostic roles of frailty, multimorbidity and socioeconomic characteristics on the risk of hospitalisation, ICU admission, mechanical ventilation, COVID-19 mortality, functioning, quality of life, disability, mental health and work absence. METHODS AND ANALYSIS: For this ongoing work, four databases were searched: PubMed, Embase, WHO COVID-19 Global literature on coronavirus disease and PsycINFO, for the period between January 2020 and April 7 2021. Peer-reviewed published literature in English and all types of population-based studies will be considered. Studies using standard tools to assess multimorbidity such as disease count, comorbidity indices or disease combinations will be retained, as well as studies with standard scales and scores for frailty or measurement of a socioeconomic gradient. Initial search included 10 139 articles, 411 for full-text reading. Results will be summarised by risk factor, objective and outcome. The feasibility of meta-analysis will be determined by the findings and will aim to better understand uncertainties of the results. Quality of studies will be assessed using standardised scales. ETHICS AND DISSEMINATION: The study will be based on published evidence, and it is exempt from the ethical approval. This work is part of the Population Health Information Research Infrastructure (PHIRI) project. Dissemination of the results will imply conference presentation, submission for scientific publication and PHIRI project report. PROSPERO REGISTRATION NUMBER: CRD42021249444.

Identifying Protective Drugs for Parkinson's Disease in Health-Care Databases Using Machine Learning.

BACKGROUND: Available treatments for Parkinson's disease (PD) are only partially or transiently effective. Identifying existing molecules that may present a therapeutic or preventive benefit for PD (drug repositioning) is thus of utmost interest. OBJECTIVE: We aimed at detecting potentially protective associations between marketed drugs and PD through a large-scale automated screening strategy. METHODS: We implemented a machine learning (ML) algorithm combining subsampling and lasso logistic regression in a case-control study nested in the French national health data system. Our study population comprised 40,760 incident PD patients identified by a validated algorithm during 2016 to 2018 and 176,395 controls of similar age, sex, and region of residence, all followed since 2006. Drug exposure was defined at the chemical subgroup level, then at the substance level of the Anatomical Therapeutic Chemical (ATC) classification considering the frequency of prescriptions over a 2-year period starting 10 years before the index date to limit reverse causation bias. Sensitivity analyses were conducted using a more specific definition of PD status. RESULTS: Six drug subgroups were detected by our algorithm among the 374 screened. Sulfonamide diuretics (ATC-C03CA), in particular furosemide (C03CA01), showed the most robust signal. Other signals included adrenergics in combination with anticholinergics (R03AL) and insulins and analogues (A10AD). CONCLUSIONS: We identified several signals that deserve to be confirmed in large studies with appropriate consideration of the potential for reverse causation. Our results illustrate the value of ML-based signal detection algorithms for identifying drugs inversely associated with PD risk in health-care databases. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Uses and perceptions of medications among French older adults: results from the 2020 French Health Barometer survey.

BACKGROUND: There are few studies reporting on self-medication, perceptions or difficulties older adults have with their medications. This study aimed to describe the uses and the perceptions of medications among older adults in France and to identify patient groups based on that information. METHODS: We used data from the 2020 'French Health Barometer' - a nationally-representative cross-sectional survey. We assessed polypharmacy (five or more medications), self-medication, and patient perceptions of medications. Robust Poisson regression was used to investigate socio-demographic and health-related factors associated with the outcomes. Latent class analysis was used to identify patient groups classified by the use and the perceptions of medications. Factors associated with group assignment were investigated by multinomial logistic regression. All analyses were weighted. RESULTS: The study sample comprised 1,623 respondents aged 70-85 years. Polypharmacy and self-medication were reported in 23.5 and 48.7% of the older population, respectively. Polypharmacy was associated with increasing age, low education, and impaired health status. Self-medication was associated with female sex and high education. Among individuals taking at least 1 medication, 8.2% reported not to understand all their medications, and 9.7% having difficulty taking medications as prescribed. Among individuals taking at least 2 medications, 23.2% thought that they took too many medications. Three patient groups were identified: 'Non-polypharmacy, positive perceptions' (62.5%), 'Polypharmacy, positive perceptions' (28.0%), and 'Negative perceptions' (9.5%). CONCLUSIONS: Polypharmacy and self-medication are common in French older adults. One segment of people reported negative perceptions of their medications regardless of their polypharmacy status. This underlines the difference between the objective and perceived measures of polypharmacy.

The epidemiology of multimorbidity in France: Variations by gender, age and socioeconomic factors, and implications for surveillance and prevention.

BACKGROUND: Robust public health and health system response to the increasing burden of multimorbidity worldwide requires detailed epidemiological examination of its key sociodemographic and geographic determinants. We investigated the role of gender, age and socioeconomic and geographic factors on multimorbidity (i.e., having two or more conditions) in the adult population in France and examined implications for surveillance and prevention. METHODS: We used data from two large nationwide representative surveys with cross-sectional and longitudinal health and socio-demographic indicators, conducted in France between 2008 and 2014. Morbidity counts and frequent dyads/triads of conditions independently impacting mortality, activity limitations, and perceived health were investigated with regard to differences in gender, age, socioeconomic (education, occupation and income) and geography (size of the urban unit and region). RESULTS: The component conditions of multimorbidity varied with gender and age. Women experienced multimorbidity 23-31% more frequently and at a younger age (5-15 years earlier) than men. Multimorbidity increased with age while its associations with most health indicators weakened with it. Multimorbidity was strongly and independently associated with socioeconomic indicators, with a strong inverse dose-response relationship with education, but less consistently with geographic factors. CONCLUSIONS: Multimorbidity has diverse and variable components and impacts across gender and age. It is strongly associated with socioeconomic factors, notably educational level, for which causality appears likely. Consideration of this diversity and variability, its common occurrence in dyads and triads, and its impact on health outcomes according to age and gender may contribute to efficient surveillance and support the identification of prevention strategies targeting middle-aged men and women.

Identifying profiles of people aged 65 and over who fall at home and associated falling-induced injuries: The French ChuPADom study.

BACKGROUND: Falls in older people are a major public health problem due to associated morbidity and mortality. Their origin is most often multifactorial. OBJECTIVE, DESIGN AND SUBJECTS: The objective of the present study, called ChuPaDom, was to identify patterns or profiles of home fallers (HF) - understood here as people who fall in their place of residence - among a sample of persons aged 65 and over who were hospitalized after a fall, and to study their association with falling-induced injuries using data from the ChuPAdom study. METHODS: Multiple correspondence analysis and Hierarchical Clustering on Principal Components were performed. Multivariate logistic regression was used to test for associations between HF profiles and injuries. RESULTS: The sample comprised 1467 patients (69% female, average age = 84.5 years). Five profiles were identified: youngest seniors who took risks and fell from a raised height, youngest seniors with specific health problems who fell down a stairs, autonomous seniors who fell because they lost their balance or fell from their own height, dependent seniors who fell during low-intensity activities, very old seniors for whom missing data were frequent. Fractures were more frequent among the first profile than the last two profiles constituted with more dependent individuals (p < 0.001). CONCLUSION: These results highlight the heterogeneity of the circumstances in which older people fall. A greater understanding of these circumstances is needed to implement targeted prevention actions.

Alteration in perceived health status of those aged 55 to 65 between 2010 and 2017 in France: role of socioeconomic determinants.

BACKGROUND: While life expectancy increases, it is necessary to evaluate whether the additional years are lived in good health, particularly in order to adapt the health care provision and social measures available to support these individuals. Since the 1990s, improvements in perceived health and capacities have been observed among older people, however the changes appear to be far less favourable among the working-age population and, in particular, the generation of people approaching retirement age. The aim of this study was to examine the change in the perceived health status of those aged 55 to 65 in France and investigate the role of socioeconomic factors in this change. METHODS: Self-reported health (SRH), chronic condition and activity limitation were assessed in 2010 and in 2017 in the French Health Barometer, a general population phone survey conducted on over 25,000 persons living in the community. The prevalence of all three indicators in 2017, and their evolution between 2010 and 2017 were studied according to the main socioeconomic determinants. RESULTS: Between 2010 and 2017, there was a sharp increase in the proportion of individuals aged 55-65 reporting poor SRH, chronic condition or activity limitation. A much more marked deterioration was observed in the three indicators among those aged 55-65 than in older age groups, as well as different changes according to socioeconomic determinants. The category of workers with an average level of education was particularly affected by the deterioration. CONCLUSIONS: This study confirms that the generation approaching retirement age presents a more significant deterioration in health status than those of previous generations. The question of how these trends will be reflected in terms of the burden of dependency at later ages remains open and should encourage increased monitoring of and prevention among this population in future years.

Prevalence and incidence of young onset dementia and associations with comorbidities: A study of data from the French national health data system.

BACKGROUND: Dementia onset in those aged <65 years (young onset dementia, YOD) has dramatic individual and societal consequences. In the context of population aging, data on YOD are of major importance to anticipate needs for planning and allocation of health and social resources. Few studies have provided precise frequency estimates of YOD. The aim of this study is to provide YOD prevalence and incidence estimates in France and to study the contribution of comorbidities to YOD incidence. METHODS AND FINDINGS: Using data from the French national health data system (Système National des Données de Santé, SNDS) for 76% of the French population aged 40 to 64 years in 2016 (n = 16,665,795), we identified all persons with dementia based on at least 1 of 3 criteria: anti-Alzheimer drugs claims, hospitalization with the International Classification of Diseases-10th Revision (ICD-10) dementia codes (F00 to F03, G30, G31.0, G31.1, or F05.1), or registration for free healthcare for dementia. We estimated prevalence rate (PR) and incidence rate (IR) and estimated the association of comorbidities with incident YOD. Sex differences were investigated. We identified 18,466 (PRstandardized = 109.7/100,000) and 4,074 incident (IRstandardized = 24.4/100,000 person-years) persons with prevalent and incident YOD, respectively. PR and IR sharply increased with age. Age-adjusted PR and IR were 33% (95% confidence interval (CI) = 29 to 37) and 39% (95% CI = 31 to 48) higher in men than women (p < 0.001 both for PR and IR). Cardio- and cerebrovascular, neurological, psychiatric diseases, and traumatic brain injury prevalence were associated with incident YOD (age- and sex-adjusted p-values <0.001 for all comorbidities examined, except p = 0.109 for antihypertensive drug therapy). Adjustment for all comorbidities explained more than 55% of the sex difference in YOD incidence. The lack of information regarding dementia subtypes is the main limitation of this study. CONCLUSIONS: We estimated that there were approximately 24,000 and approximately 5,300 persons with prevalent and incident YOD, respectively, in France in 2016. The higher YOD frequency in men may be partly explained by higher prevalence of cardiovascular and neurovascular diseases, substance abuse disorders, and traumatic brain injury and warrants further investigation.

Magnitude, change over time, demographic characteristics and geographic distribution of excess deaths among nursing home residents during the first wave of COVID-19 in France: a nationwide cohort study.

BACKGROUND: The objectives were to assess the excess deaths among Nursing Home (NH) residents during the first wave of the COVID-19 pandemic, to determine their part in the total excess deaths and whether there was a mortality displacement. METHODS: We studied a cohort of 494,753 adults in 6,515 NHs in France exposed to COVID-19 pandemic (from 1 March to 31 May 2020) and compared with the 2014-2019 cohorts using data from the French National Health Data System. The main outcome was death. Excess deaths and standardized mortality ratios (SMRs) were estimated. RESULT: There were 13,505 excess deaths. Mortality increased by 43% (SMR: 1.43). The mortality excess was higher among males than females (SMR: 1.51 and 1.38) and decreased with increasing age (SMRs in females: 1.61 in the 60-74 age group, 1.58 for 75-84, 1.41 for 85-94 and 1.31 for 95 or over; males: SMRs: 1.59 for 60-74, 1.69 for 75-84, 1.47 for 85-94 and 1.41 for 95 or over). No mortality displacement effect was observed up until 30 August 2020. By extrapolating to all NH residents nationally (N = 570,003), we estimated that they accounted for 51% of the general population excess deaths (N = 15,114 out of 29,563). CONCLUSION: NH residents accounted for half of the total excess deaths in France during the first wave of the COVID-19 pandemic. The excess death rate was higher among males than females and among younger than older residents.

Estimating and characterizing the burden of multimorbidity in the community: A comprehensive multistep analysis of two large nationwide representative surveys in France.

BACKGROUND: Given the increasing burden of chronic conditions, multimorbidity is now a priority for healthcare and public health systems worldwide. Appropriate methodological approaches for assessing the phenomenon have not yet been established, resulting in inconsistent and incomplete descriptions. We aimed to estimate and characterize the burden of multimorbidity in the adult population in France in terms of number and type of conditions, type of underlying mechanisms, and analysis of the joint effects for identifying combinations with the most deleterious interaction effects on health status. METHODS AND FINDINGS: We used a multistep approach to analyze cross-sectional and longitudinal data from 2 large nationwide representative surveys: 2010/2014 waves of the Health, Health Care, and Insurance Survey (ESPS 2010-2014) and Disability Healthcare Household Survey 2008 (HSM 2008), that collected similar data on 61 chronic or recurrent conditions. Adults aged ≥25 years in either ESPS 2010 (14,875) or HSM 2008 (23,348) were considered (participation rates were 65% and 62%, respectively). Longitudinal analyses included 7,438 participants of ESPS 2010 with follow-up for mortality (97%) of whom 3,798 were reinterviewed in 2014 (52%). Mortality, activity limitation, self-reported health, difficulties in activities/instrumental activities of daily living, and Medical Outcomes Study Short-Form 12-Item Health Survey were the health status measures. Multiple regression models were used to estimate the impact of chronic or recurrent conditions and multimorbid associations (dyads, triads, and tetrads) on health status. Etiological pathways explaining associations were investigated, and joint effects and interactions between conditions on health status measures were evaluated using both additive and multiplicative scales. Forty-eight chronic or recurrent conditions had an independent impact on mortality, activity limitations, or perceived heath. Multimorbidity prevalence varied between 30% (1-year time frame) and 39% (lifetime frame), and more markedly according to sex (higher in women), age (with greatest increases in middle-aged), and socioeconomic status (higher in less educated and low-income individuals and manual workers). We identified various multimorbid combinations, mostly involving vasculometabolic and musculoskeletal conditions and mental disorders, which could be explained by direct causation, shared or associated risk factors, or less frequently, confounding or chance. Combinations with the highest health impacts included diseases with complications but also associations of conditions affecting systems involved in locomotion and sensorial functions (impact on activity limitations), and associations including mental disorders (impact on perceived health). The interaction effects of the associated conditions varied on a continuum from subadditive and additive (associations involving cardiometabolic conditions, low back pain, osteoporosis, injury sequelae, depression, and anxiety) to multiplicative and supermultiplicative (associations involving obesity, chronic obstructive pulmonary disease, migraine, and certain osteoarticular pathologies). Study limitations included self-reported information on chronic conditions and the insufficient power of some analyses. CONCLUSIONS: Multimorbidity assessments should move beyond simply counting conditions and take into account the variable impacts on health status, etiological pathways, and joint effects of associated conditions. In particular, the multimorbid combinations with substantial health impacts or shared risk factors deserve closer attention. Our findings also suggest that multimorbidity assessment and management may be beneficial already in midlife and probably earlier in disadvantaged groups.

Emergency department admissions for myocardial infarction and stroke in France during the first wave of the COVID-19 pandemic: National temporal trends and regional disparities.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic and the national lockdown have led to significant changes in the use of emergency care by the French population. AIMS: To describe the national and regional temporal trends in emergency department (ED) admissions for myocardial infarction (MI) and stroke, before, during and after the first national lockdown. METHODS: The weekly numbers of ED admissions for MI and stroke were collected from the OSCOUR® network, which covers 93.3% of all ED admissions in France. National and regional incidence rate ratios from 02 February until 31 May (2020 versus 2017-2019) were estimated using Poisson regression for MI and stroke, before, during and after lockdown. RESULTS: A decrease in ED admissions was observed for MI (-20% for ST-segment elevation MI and-25% for non-ST-segment elevation MI) and stroke (-18% for ischaemic and-22% for haemorrhagic) during the lockdown. The decrease became significant earlier for stroke than for MI. No compensatory increase in ED admissions was observed at the end of the lockdown for these diseases. Important regional disparities in ED admissions were observed, without correlation with the regional levels of COVID-19 cases. The impact of lockdown on ED admissions was particularly significant in six regions (Ile-de France, Occitanie, Provence-Alpes-Côte d'Azur, Nouvelle Aquitaine, Hauts-de-France and Bretagne). CONCLUSIONS: The decrease in ED admissions for MI and stroke observed during the lockdown was probably caused by fear of COVID-19 and augmented by the lockdown, and was heterogeneous across the French territory. ED admissions were slow to return to the usual levels from previous years, without a compensatory increase. These results underline the need to reinforce messages directed at the population to encourage them to seek care without delay in case of cardiovascular symptoms.

Risk of Suicide Among Patients With Parkinson Disease.

Importance: Parkinson disease (PD) is an increasingly common neurodegenerative disorder in many aging societies. Although comorbidities with mental disorders are common in PD, whether PD is associated with an increased risk of suicide is unclear. Objective: To use a large national representative PD cohort to compare the risk of suicide in patients with PD and control participants and identify potential risk factors. Design, Setting, and Participants: This nationwide population-based cohort study used linked data from Taiwan's National Health Insurance data set and Taiwan Death Registry between January 2002 and December 2016. Patients with incident PD diagnosed between January 2005 and December 2014 were followed up until December 2016. Four control participants from the general population were randomly selected by risk set sampling and were matched on age, sex, and residence to each affected individual. Data analysis occurred from June 2019 to October 2020. Exposures: Diagnosis of PD retrieved from the National Health Insurance data set. Main Outcomes and Measures: Suicide was recorded in the Taiwan Death Registry. Cox proportional models and hazard ratios (HRs) were used to estimate the association between PD and the risk of suicide over the follow-up period. Results: Over 11 years, 35 891 patients with PD were followed up (17 482 women [48.7%]; mean [SD] age, 72.5 [10.1] years) and matched to 143 557 control participants (69 928 women [48.7%]; mean [SD] age, 72.5 [10.1] years). A total of 151 patients with PD (cumulative incidence, 66.6 per 100 000 [95% confidence limits [CL], 78.1-91.7]) and 300 control participants (cumulative incidence, 32.3 per 100 000 [95% CL, 36.2-40.5]) died by suicide. The risk of suicide was higher (HR, 2.1 [95% CL, 1.7-2.5]) in patients with PD than control participants, after adjustment for markers of socioeconomic position, medical comorbidities, and dementia. After controlling for mental disorders, the association between PD and suicide risk remained (HR, 1.9 [95% CL, 1.6-2.3]). Compared with control participants who died by suicide, those who died by suicide in the PD group were slightly younger (mean [SD] age: patients with PD, 74.0 [10.4] years vs control participants, 76.0 [10.2] years; P = .05) and more likely to be urban dwelling (medium urbanization, 39 patients with PD [25.8%] vs 115 control participants [38.3%]; high urbanization, 84 patients with PD [55.6%] vs 136 control participants [45.3%]; P = .03), have mental disorders (depression, 15 of 151 patients with PD [9.9%] vs 15 of 300 control participants [5.0%]; other mental disorders, 12 patients with PD [8.0%] vs 11 control participants [3.7%]; P = .02), and adopt jumping as a method of suicide (21 patients with PD [13.9%] vs 16 control participants [5.3%]; P < .01). Conclusions and Relevance: In this population-based cohort study, Parkinson disease, a common neurodegenerative disorder common in elderly persons, was independently associated with an increased risk of suicide. Integrating mental health care into primary care and PD specialty care, along with socioenvironmental interventions, may help decrease the risk of suicide in patients with PD.