Impact of Ovarian Cancer Surgery Volume on Overall and Progression-Free Survival: A Population-Based Retrospective National French Study

BACKGROUND

Data are limited on the relationship between ovarian cancer surgery volume and outcomes in France.

METHODS

For this retrospective, population-based study, patients with ovarian cancer that was diagnosed between January 1, 2012 and December 31, 2016 were identified from the French National Health Data System (SNDS). Hospitals were classified in function of their ovarian cancer surgery volume. Patient, tumor, hospital, and hospital stay characteristics also were evaluated. The hospital procedure volume effect on 5-year overall survival (OS) and recurrence-free survival (RFS) was determined with Cox-proportional hazards models.

RESULTS

This study included 8429 patients and 53.4% underwent cytoreductive surgery in hospitals with procedure volume < 20 cases/year. The 5-year OS rates were 63% and 60% in hospitals with procedure volume ≥ 20 and < 20 cases/year (p = 0.02). In multivariate analysis, OS and RFS were significantly increased when surgery was performed in hospitals doing ≥ 20 surgeries/year (vs. < 20) (hazard ratio HR = 1.18, 95% CI = 1.08-1.29 and HR = 1.10, 95% CI = 1.03-1.17). In the volume subgroup analysis, a difference was observed mainly between hospitals with < 10 surgeries/year and the other hospitals (HR = 1.27, 95% CI = 1.14-1.41 and HR = 1.14, 95% CI = 1.05-1.23). The patients' age and comorbidities, tumor stage, and hospital stay (duration, first cytoreduction surgery) were associated with OS.

CONCLUSIONS

Ovarian cancer surgery volume ≥ 20 cases/year was significantly associated with improved OS and RFS but only with a limited clinical benefit. The biggest differences in OS and RFS were observed between hospitals with procedure volume < 10 cases/year and all the other hospitals.

Estrogen receptor activation remodels TEAD1 gene expression to alleviate hepatic steatosis

Sex-based differences in obesity-related hepatic malignancies suggest the protective roles of estrogen. Using a preclinical model, we dissected estrogen receptor (ER) isoform-driven molecular responses in high-fat diet (HFD)-induced liver diseases of male and female mice treated with or without an estrogen agonist by integrating liver multi-omics data. We found that selective ER activation recovers HFD-induced molecular and physiological liver phenotypes. HFD and systemic ER activation altered core liver pathways, beyond lipid metabolism, that are consistent between mice and primates. By including patient cohort data, we uncovered that ER-regulated enhancers govern central regulatory and metabolic genes with clinical significance in metabolic dysfunction-associated steatotic liver disease (MASLD) patients, including the transcription factor TEAD1. TEAD1 expression increased in MASLD patients, and its downregulation by short interfering RNA reduced intracellular lipid content. Subsequent TEAD small molecule inhibition improved steatosis in primary human hepatocyte spheroids by suppressing lipogenic pathways. Thus, TEAD1 emerged as a new therapeutic candidate whose inhibition ameliorates hepatic steatosis.

Predicting One-Year Mortality after Discharge Using Acute Heart Failure Score (AHFS)

Background: Acute heart failure (AHF) represents a leading cause of unscheduled hospital stays, frequent rehospitalisations, and mortality worldwide. The aim of our study was to develop a bedside prognostic tool, a multivariable predictive risk score, that is useful in daily practice, thus providing an early prognostic evaluation at admission and an accurate risk stratification after discharge in patients with AHF. Methods: This study is a subanalysis of the STADE HF study, which is a single-centre, prospective, randomised controlled trial enrolling 123 patients admitted to hospital for AHF. Here, 117 patients were included in the analysis, due to data exhaustivity. Regression analysis was performed to determine predictive variables for one-year mortality and/or rehospitalisation after discharge. Results: During the first year after discharge, 23 patients died. After modellisation, the variables considered to be of prognostic relevance in terms of mortality were (1) non-ischaemic aetiology of HF, (2) elevated creatinine levels at admission, (3) moderate/severe mitral regurgitation, and (4) prior HF hospitalisation. We designed a linear model based on these four independent predictive variables, and it showed a good ability to score and predict patient mortality with an AUC of 0.84 (95%CI: 0.76-0.92), thus denoting a high discriminative ability. A risk score equation was developed. During the first year after discharge, we observed as well that 41 patients died or were rehospitalised; hence, while searching for a model that could predict worsening health conditions (i.e., death and/or rehospitalisation), only two predictive variables were identified: non-ischaemic HF aetiology and previous HF hospitalisation (also included in the one-year mortality model). This second modellisation showed a more discrete discriminative ability with an AUC of 0.67 (95% C.I. 0.59-0.77). Conclusions: The proposed risk score and model, based on readily available predictive variables, are promising and useful tools to assess, respectively, the one-year mortality risk and the one-year mortality and/or rehospitalisations in patients hospitalised for AHF and to assist clinicians in the management of patients with HF aiming at improving their prognosis.

Weight telemonitoring of heart failure versus standard of care in a real-world setting: Results on mortality and hospitalizations in a 6-month nationwide matched cohort study

AIMS

Evaluating the benefit of telemonitoring in heart failure (HF) management in real-world settings is crucial for optimizing the healthcare pathway. The aim of this study was to assess the association between a 6-month application of the telemonitoring solution Chronic Care Connect™ (CCC) and mortality, HF hospitalizations, and associated costs compared with standard of care (SOC) in patients with a diagnosis of HF.

METHODS AND RESULTS

From February 2018 to March 2020, a retrospective cohort study was conducted using the largest healthcare insurance system claims database in France (Système National des Données de Santé) linked to the CCC telemonitoring database of adult patients with an ICD-10-coded diagnosis of HF. Patients from the telemonitoring group were matched with up to two patients from the SOC group based on their high-dimensional propensity score, without replacement, using the nearest-neighbour method. A total of 1358 telemonitored patients were matched to 2456 SOC patients. The cohorts consisted of high-risk patients with median times from last HF hospitalization to index date of 17.0 (interquartile range: 7.0-66.0) days for the telemonitoring group and 27.0 (15.0-70.0) days for the SOC group. After 6 months, telemonitoring was associated with mortality risk reduction (hazard ratio [HR] 0.71, 95% confidence interval [CI] 0.56-0.89), a higher risk of first HF hospitalization (HR 1.81, 95% CI 1.55-2.13), and higher HF healthcare costs (relative cost 1.38, 95% CI 1.26-1.51). Compared with the SOC group, the telemonitoring group experienced a shorter average length of overnight HF hospitalization and fewer emergency visits preceding HF hospitalizations.

CONCLUSION

The results of this nationwide cohort study highlight a valuable role for telemonitoring solutions such as CCC in the management of high-risk HF patients. However, for telemonitoring solutions based on weight and symptoms, consideration should be given to implement additional methods of assessment to recognize imminent worsening of HF, such as impedance changes, as a way to reduce mortality risk and the need for HF hospitalizations. Further studies are warranted to refine selection of patients who could benefit from a telemonitoring system and to confirm long-term benefits in high-risk and stable HF patients.

Relationships between the COVID-19 lockdown, socioeconomic factors and acute coronary syndrome hospitalisations in France

INTRODUCTION

Worldwide, the COVID-19 pandemic has been associated with an overall drop in acute coronary syndrome (ACS) hospitalizations. Additionally, there is a well-known association between ACS and socioeconomic status. This study aims to assess the COVID-19 effect on ACS admissions in France during the first national lockdown and investigate the factors associated with its spatial heterogeneity.

MATERIALS AND METHODS

In this retrospective study, we used the French hospital discharge database (PMSI) to estimate ACS admission rates in all public and private hospitals in 2019 and 2020. A negative binomial regression explored the nationwide change in ACS admissions during lockdown compared with 2019. A multivariate analysis explored the factors associated with the ACS admission incidence rate ratio (IRR, 2020 incidence rate/2019 incidence rate) variation at the county level.

RESULTS

We found a significant but geographically heterogeneous nationwide reduction in ACS admissions during lockdown (IRR 0·70 [0·64-0·76]). After adjustment for cumulative COVID-19 admissions and the ageing index, a higher share of people on short-term working arrangements during lockdown at the county level was associated with a lower IRR, while a higher share of individuals with a high school degree and a higher density of acute care beds were associated with a higher ratio.

CONCLUSIONS

During the first national lockdown, there was an overall decrease in ACS admissions. Local provision of inpatient care and socioeconomic determinants linked to occupation were independently associated with the variation in hospitalizations.

Brief Report: A Multidisciplinary Initial Workup for Suspected Lung Cancer as Fast-Track Intervention to Histopathologic Diagnosis

Guidelines for optimal timing of lung cancer diagnosis and treatment have been implemented in many countries, but the effect of fast-track interventions on the shortening of time interval is still debatable. In this study, the delay from the first specialist visit to the histopathologic diagnosis was compared between two patient cohorts: before (n = 280) and after (n = 247) implementation of a fast-track multidisciplinary diagnosis program. The cumulative incidence function curves were compared, and hazard ratio was adjusted in the Cox model. The implementation allowed a statistically significant increase in the cumulative incidence of the lung cancer histopathologic diagnosis over time. Adjusted hazard ratio for patients accrued in the post-implementation cohort was 1.22 (1.03-1.45) (p = 0.023), corresponding to a reduction of this waiting period by 18%. In conclusion, a multidisciplinary approach of the diagnostic process implemented at the initial visit allows a significant reduction of the timeline until the histopathologic diagnosis of lung cancer.

Access to outpatient care in Manhattan and Paris: A tale of real change in two world cities

France's system of universal health insurance (UHI) offers more equitable access to outpatient care than the patchwork system in the U.S., which does not have a UHI system. We investigate the degree to which the implementation of the Patient Protection and Affordable Care Act (ACA) has narrowed the gap in access to outpatient care between France and the U.S. To do so, we update a previous comparison of access to outpatient care in Manhattan and Paris as measured by age-adjusted rates of hospital discharge for avoidable hospital conditions (AHCs). We compare these rates immediately before and after the implementation of the ACA in 2014. We find that AHC rates in Manhattan declined by about 25% and are now lower than those in Paris. Despite evidence that access to outpatient care in Manhattan has improved, Manhattanites continue to experience greater residence-based neighborhood inequalities in AHC rates than Parisians. In Paris, there was a 3% increase in AHC rates and neighborhood-level inequalities increased significantly. Our analysis highlights the persistence of access barriers to outpatient care in Manhattan, particularly among racial and ethnic minorities, even following the expansion of health insurance coverage.

Organisational Impact of a Remote Patient Monitoring System for Heart Failure Management: The Experience of 29 Cardiology Departments in France

Remote patient monitoring (RPM) for the management of patients with chronic heart failure (CHF) has been widely studied from clinical and health-economic points of view. In contrast, data on the organisational impact of this type of RPM are scarce. The objective of the present study of cardiology departments (CDs) in France was to describe the organisational impact of the Chronic Care Connect^TM (CCC^TM) RPM system for CHF. An organisational impact map for health technology assessment was used to identify and define the criteria evaluated in the present survey, including the care process, equipment, infrastructure, training, skill transfers, and the stakeholders' abilities to implement the care process. In April 2021, an online questionnaire was sent to 31 French CDs that were using CCC^TM for CHF management: 29 (94%) completed the questionnaire. The survey results showed that CDs progressively modified their organisational structures upon or shortly after the implementation of the RPM device. Twenty-four departments (83%) had created a dedicated team, sixteen (55%) had provided dedicated outpatient consultations for patients with an emergency alert, and twenty-five (86%) admitted patients directly (i.e., avoiding the need to attend the emergency department). The present survey is the first to have assessed the organisational impact of the implementation of the CCC^TM RPM device for CHF management. The results highlighted the variety of organisational structures, which tended to structure with the use of the device.

Geographic variation in COVID-19 hospital admissions in France: a population-based study

The impact of various environmental, socio-economic, and epidemiological factors on COVID-19 transmission and severity is well-known. However, there is little evidence about the respective role of these factors at the population-level at a national scale. The objective was to identify the environmental and contextual factors that influenced the spread and the severity of COVID-19 at the French department level during the first national lockdown. We performed a national, population-based, retrospective analysis. The cumulative rate of patients admitted for COVID-19 to any public or private acute care hospital from March 31st, 2020 to May 25, 2020 was modelled at the ‘departement’ (hereafter county) level. We used spatial regression models to quantify the aggregated effect of population health status, air pollution, meteorological, and socioeconomic factors. 57,356 patients were admitted to an acute care facility for COVID-19 over the period of interest. At the county level, the age and sex-standardized rate of admission ranged from 0.07 to 3.24 admissions per 1,000 people. After adjustment on the pre-lockdown COVID-19 hospital admission rate, the standardized cumulative rate hospital admission for COVID-19 during the period of interest was significantly and positively associated with the prevalence of diabetes, with the prevalence of mental conditions, and with high cumulative exposure to atmospheric ozone values. It was significantly and negatively associated with high cumulative exposure to ultraviolet radiation. These results suggest that several population-based epidemiological and meteorological factors could have played a role in COVID-19 spread in France. They provide potentially useful insights to design and implement geographically differentiated public health policies.

Management of patients with rheumatoid arthritis by telemedicine: connected monitoring. A randomized controlled trial

OBJECTIVES

Rheumatoid arthritis (RA) is a prevalent and disabling disease that is the source of significant direct and indirect costs. The current recommended therapeutic strategy is based on the rapid introduction of therapy with conventional Disease-Modifying Anti-Rheumatic Drugs (DMARDs) combined with regular disease monitoring by the rheumatologist. The onerous nature of such intense monitoring has motivated the development of new, less demanding strategies such as telemedicine. This study aimed to estimate the cost-effectiveness of the connected monitoring of RA patients initiating a new DMARD therapy versus conventional monitoring.

METHODS

An economic evaluation based on a randomized controlled trial of 89 patients was conducted. The patients in the intervention group (n=45) were monitored using a connected monitoring interface on a smartphone, while patients in the control group (n=44) were conventionally monitored. Health outcomes were measured as the gain in quality-adjusted life-years (QALYs), assessed using the EuroQol-5D questionnaire. Resource use and health outcomes were collected alongside the trial and at the six-month follow-up using application data and the related clinical case manager time, visits, hospitalisations, and transport records. These outcomes were valued using externally collected data on unit costs and QALY weights.

RESULTS

Compared to conventionally monitored patients, patients receiving connected monitoring had a slightly greater but not significant gain in the average QALY of 0.07. The economic analysis found that connected monitoring resulted in a significant cost reduction of 72€ (2927€ vs. 2999€, P&lt;0.01). The incremental cost-utility ratio of the intervention was equal to -1,029€ per QALY (95% CI: -32,033; +24,625) with a 97.8% chance of being cost-effective at a threshold of 30,000€ per QALY gained.

CONCLUSION

Implementing EULAR recommendations for RA patients initiating a DMARD treatment using connected monitoring is more efficient and less expensive than conventional care.

CLINICAL TRIAL REGISTRATION NUMBER

ClinicalTrials.gov (NCT03005925).

Healthcare costs of a telemonitoring programme for heart failure: indirect deterministic data linkage analysis

AIMS

We aim to evaluate the costs associated with healthcare resource consumption for chronic heart failure (HF) management in patients allocated to telemonitoring versus standard of care (SC).

METHODS AND RESULTS

OSICAT-ECO involved 745 patients from the OSICAT trial (NCT02068118) who were successfully linked to the French national healthcare database through an indirect deterministic data linkage approach. OSICAT compared a telemonitoring programme with SC follow-up in adults hospitalized for acute HF ≤ 12 months. Healthcare resource costs included those related to hospital and ambulatory expenditure for HF and were restricted to direct costs determined from the French health data system over 18 months of follow-up. Most of the total costs (69.4%) were due to hospitalization for HF decompensation, followed by ambulatory nursing fees (11.8%). During 18-month follow-up, total costs were 2% lower in the telemonitoring versus the SC group, due primarily to a 21% reduction in nurse fees. Among patients with NYHA class III/IV, a 15% reduction in total costs (€3131 decrease) was observed over 18-month follow-up in the telemonitoring versus the SC group, with the highest difference in hospital expenditure during the first 6 months, followed by a shift in costs from hospital to ambulatory at 12 months.

CONCLUSIONS

HF hospitalization and ambulatory nursing fees represented most of the costs related to HF. No benefit was observed for telemonitoring versus SC with regard to cost reductions over 18 months. Patients with severe HF showed a non-significant 15% reduction in costs, largely related to hospitalization for HF decompensation, nurse fees, and medical transport.

The effects of the COVID-19 lockdown and socio-economic factors on stroke hospitalizations in France

Background

Worldwide, the COVID-19 pandemic has been associated with a drop in overall stroke hospitalizations. Additionally, there is a well-known association between stroke and socioeconomic status. This study aims to assess the COVID-19 effect on stroke admissions in France during the first national lockdown and investigate the factors associated with its spatial heterogeneity.

Methods

In this retrospective nationwide study, we used data from the French hospital discharge database (PMSI) to estimate rates of admission for stroke to all public and private hospitals in 2019 and 2020. We used negative binomial regression to test for a nationwide change in stroke admissions during the first lockdown, compared to the same period in 2019 (from week 12 to week 19). We conducted a multivariate analysis to explore the factors associated with the stroke admission incidence rate ratio variation (2020 incidence rate/2019 incidence rate) at the county level.

Results

We found a significant nationwide reduction in stroke admissions during the first wave of COVID-19 (incidence rate ratio 0,91 [0,86 - 0.97]), with notable geographic variations. After adjustment on hospital bed capacity, cumulative in-hospital COVID-19 incidence, standardized death rate at age 65 and unemployment rate, a higher share of labourers at the county level was associated with a higher incidence rate ratio (p < 0.01).

Conclusions

During the first national lockdown, there has been an overall decrease in stroke admission rates. Socio-economic determinants such as low-skilled jobs were independently associated with an increase in the stroke admission incidence rate ratio, while we did not find any independent effect from the local COVID 19 burden and hospital capacities.

Key messages

The first national lockdown led to an overall decrease in stroke admissions in France.

This decrease varied between counties according to socio-economic determinants.

OP0214 IMPACT OF A MULTI-MORBIDITY SCREENING AND PREVENTION PROGRAM IN CHRONIC INFLAMMATORY RHEUMATIC DISEASES ON THE ONE-YEAR HOSPITALIZATION RATE BASED ON AN ANALYSIS OF THE FRENCH NATIONAL HEALTH DATABASE

Background:

A screening program for multimorbidities started in 2014 at the Montpellier University Hospital for primary prevention in patients with chronic inflammatory rheumatic diseases (IRD).

Objectives:

The objective of this work was to assess the impact of this program on morbidity by comparing the hospitalization rate of those patients in the year following the screening to the one of patients with IRD who did not benefit from this program.

Methods:

Patients with IRD who benefit from the screening program in 2015, 2016 and 2017 were identified in the French national health database PMSI and matched to 3 controls living in the same area on age, sex, type of IRD, use of intravenous (IV) biologic (b) DMARDs and index date. The exclusion criteria were subjects in secondary prevention identified as history of myocardial infarction in the previous 5 years or use of antiplatelet therapy. The primary outcome was the rate of all-cause hospitalization in the following year. The secondary endpoints were hospitalizations for another reason than IRD (“non-IRD”) including those for cardiovascular [CV] events and major fractures. Hospitalization rates were compared between the two groups in the year after screening (or index date) and also between the year preceding screening and the year after for each group. Univariate and multivariate odds ratios (CI95%) were calculated, taking into account the medical history (hypertension, diabetes, heart failure, CV disease, COPD, major fractures in the 5 years preceding the index date) and hospitalizations in the previous year.

Results:

486 patients were identified and matched with 1458 controls. 67.08% had rheumatoid arthritis and 21.81% spondyloarthritis; 7% of them had IV bDMARDs. Unscreened patients had more hypertension (19% vs 10.1%), diabetes (9% vs 4.9%), heart failure (2.3% vs 0.4%) and “non-IRD” hospitalizations (78.5% vs 72.2%) in the 5 years preceding the index date. In the year following the index date, the percentages of “all causes” and “non-IRD” hospitalizations were significantly higher in non-screened than in screened patients (n = 1944, 64.8% versus 51%, Chi2 test, p <0.001; and 47.1% versus 37.9%, p <0.001 respectively). 17 (1.17%) cardiovascular events occurred in non-screened versus 2 (0.41%) in screened patients (n = 1944, Chi2 test, p = 0.14). There was no difference in the occurrence of CV events or major fractures between the 2 groups. In multivariate analysis, screening was associated with a 49% (0.51 [0.41-0.64]) reduction in “all causes” hospitalization and a 27% (0, 73 [0.58-0.91]) decrease in “non-IRD” hospitalization, with no difference for CV or fracture cardiological events. The risk factors associated with “non-IRD” hospitalization were: history of “non-IRD” hospitalization in the previous year (2.26 [1.63-3.13]), IV bDMARDs (1.69 [1, 14-2.53]) and age> 70 years (1.44 [1.02-2.03] vs <50 years). Hospitalization in the previous year for “all causes” or “non-IRD” was associated with rehospitalization in the following year in the non-screened group (p <0.001), but not in the screened group (p = 0.750 and p = 0.066 respectively).

Conclusion:

Our screening and prevention program was associated with a reduction in hospitalizations in the following year and a decrease in the risk of re-hospitalization compared to unscreened patients with IRD. This suggests a positive impact of performing systematic screening for multi-morbidities in IRD patients.

Acknowledgements:

We thank Pfizer for their financial support

Disclosure of Interests:

guillaume decarriere: None declared, Jenica PASTOR: None declared, David DEMOULIN: None declared, Gael Mouterde Speakers bureau: Bristol-Myers Squibb; Gilead; Janssen; Lilly; Merck; Novartis; Pfizer; Roche-Chugai; and Sanofi, Grant/research support from: Pfizer, Cédric Lukas Speakers bureau: Abbvie, Amgen, Janssen, Lilly, MSD, Novartis, Pfizer, Roche-Chugai, UCB, Consultant of: Abbvie, Amgen, Janssen, Lilly, MSD, Novartis, Pfizer, Roche-Chugai, UCB, Grant/research support from: Pfizer, Novartis and Roche-Chugai, Bernard Combe Speakers bureau: AbbVie; Bristol-Myers Squibb; Gilead; Janssen; Lilly; Merck; Novartis; Pfizer; Roche-Chugai; and Sanofi, Consultant of: AbbVie; Bristol-Myers Squibb; Gilead; Janssen; Lilly; Merck; Novartis; Pfizer; Roche-Chugai; and Sanofi, Grant/research support from: Novartis, Pfizer, and Roche-Chugai, Grégoire Mercier: None declared, Jacques Morel Speakers bureau: AbbVie; Bristol-Myers Squibb; Gilead; Janssen; Lilly; Merck; Novartis; Pfizer; Roche-Chugai; and Sanofi, Consultant of: AbbVie; Bristol-Myers Squibb; Gilead; Janssen; Lilly; Merck; Novartis; Pfizer; Roche-Chugai; and Sanofi, Grant/research support from: Novartis, Pfizer, and Roche-Chugai, Claire Daien Speakers bureau: Pfizer, Roche-Chugai, Fresenius, BMS, MSD, Lilly, Novartis, Galapagos, Consultant of: Abivax, Abbbvie, BMS, Roche-Chugai, Grant/research support from: Pfizer, roche-chugai, fresenius, MSD

Efficacy of serious exergames in improving neuropsychiatric symptoms in neurocognitive disorders: Results of the X-TORP cluster randomized trial

INTRODUCTION

The aim of this study was to evaluate the efficacy of a serious exergame in improving the neuropsychiatric symptoms of patients with neurocognitive disorders.

METHODS

X-Torp is a serious exergame combining motor and cognitive activities. Ninety-one subjects (mean age = 81.7 years, mean Mini-Mental State Examination = 18.3) were recruited in 16 centers. Centers were randomized into intervention and control centers. Subjects underwent assessment for cognitive and behavioral symptoms at baseline (BL), the end of the intervention (W12), and 12 weeks after the end of the intervention (W24).

RESULTS

The comparison of neuropsychiatric symptoms between BL and W12 and W24 showed that subjects of the intervention group improved in apathy between BL and W12. Mixed analysis (time BL, W12, W24 x group) indicated a significant increase in apathy and neuropsychiatric symptoms in the control subjects.

DISCUSSION

The use of X-Torp improved neuropsychiatric symptoms, particularly apathy. Future studies should more consistently use behavioral and neuropsychiatric symptoms as outcome measures.

A randomized prospective open-label controlled trial comparing the performance of a connected monitoring interface versus physical routine monitoring in patients with rheumatoid arthritis

OBJECTIVES

In RA, telemedicine may allow tight control of disease activity while reducing hospital visits. We developed a smartphone application connected with a physician's interface to monitor RA patients. We aimed to assess the performance of this e-Health solution in comparison with routine practice in the management of patients with RA.

METHODS

A six-month pragmatic, randomized, controlled, prospective, clinical trial was conducted in RA patients with high to moderate disease activity starting a new DMARD therapy. Two groups were established: 'connected monitoring' and 'conventional monitoring'. The primary outcome was the number of physical visits between baseline and six months. Secondary outcomes included adherence, satisfaction, changes in clinical, functional and health status scores (Short-Form 12).

RESULTS

Of the 94 randomized patients, 89 completed study: 44 in the 'conventional monitoring' arm and 45 in the 'connected monitoring' arm. The total number of physical visits between required baseline and six-month visits was significantly lower in the 'connected monitoring' group [0.42 (0.58) vs 1.93 (0.55); P <0.05]. No differences between groups were observed in the clinical and functional scores. A better quality of life for Short-Form 12 subscores (Role-Physical and Role-Emotional) were found in the 'connected monitoring' group.

CONCLUSION

Our results suggest that connected monitoring reduces the number of physical visits while maintaining a tight control of disease activity and improving quality of life in patients with RA starting a new treatment.

TRIAL REGISTRATION

ClinicalTrials.gov, https://clinicaltrials.gov, NCT03005925.

PRADOC: a trial on the efficiency of a transition care management plan for hospitalized patients with heart failure in France

Aims

Transition care programmes are designed to improve coordination of care between hospital and home. For heart failure patients, meta‐analyses show a high efficacy but with moderate evidence level. Moreover, difficulties for implementation of such programmes limit their extrapolation.

Methods and results

We designed a mixed‐method study to assess the implementation of the PRADO‐IC, a nationwide transition programme that aims to be offered to every patient with heart failure in France. This programme consists essentially in an administrative assistance to schedule follow‐up visits and in a nurse follow‐up during 2 to 6 months and aims to reduce the annual heart failure readmission rate by 30%. This study assessed three quantitative aims: the cost to avoid a readmission for heart failure within 1 year (primary aim, intended sample size 404 patients), clinical care pathways, and system economic outcomes; and two qualitative aims: perceived problems and benefits of the PRADO‐IC. All analyses will be gathered at the end of study for a joint interpretation. Strengths of this study design are the randomized controlled design, the population included in six centres with low motivation bias, the primary efficiency analysis, the secondary efficacy analyses on care pathway and clinical outcomes, and the joint qualitative analysis. Limits are the heterogeneity of centres and of intervention in a control group and parallel development of other new therapeutic interventions in this field.

Conclusions

The results of this study may help decision‐makers to support an administratively managed transition programme.

Hospitalization for acute heart failure: the in-hospital care pathway predicts one-year readmission

In patients with heart failure, some organizational and modifiable factors could be prognostic factors. We aimed to assess the association between the in-hospital care pathways during hospitalization for acute heart failure and the risk of readmission. This retrospective study included all elderly patients who were hospitalized for acute heart failure at the Universitary Hospital Lariboisière (Paris) during 2013. We collected the wards attended, length of stay, admission and discharge types, diagnostic procedures, and heart failure discharge treatment. The clinical factors were the specific medical conditions, left ventricular ejection fraction, type of heart failure syndrome, sex, smoking status, and age. Consistent groups of in-hospital care pathways were built using an ascending hierarchical clustering method based on a primary components analysis. The association between the groups and the risk of readmission at 1 month and 1 year (for heart failure or for any cause) were measured via a count data model that was adjusted for clinical factors. This study included 223 patients. Associations between the in-hospital care pathway and the 1 year-readmission status were studied in 207 patients. Five consistent groups were defined: 3 described expected in-hospital care pathways in intensive care units, cardiology and gerontology wards, 1 described deceased patients, and 1 described chaotic pathways. The chaotic pathway strongly increased the risk (p = 0.0054) of 1 year readmission for acute heart failure. The chaotic in-hospital care pathway, occurring in specialized wards, was associated with the risk of readmission. This could promote specific quality improvement actions in these wards. Follow-up research projects should aim to describe the processes causing the generation of chaotic pathways and their consequences.

FRI0651-HPR A RANDOMIZED PROSPECTIVE OPEN-LABEL CONTROLLED TRIAL COMPARING THE PERFORMANCE OF A CONNECTED MONITORING INTERFACE IN PATIENTS WITH RHEUMATOID ARTHRITIS VERSUS PHYSICAL ROUTINE MONITORING

Background:

Telemedicine has found wider application in chronic diseases for encouraging tight home-monitoring in order to improve patients’ outcome (Smolen et al. 2017).

In previous studies, a high feasibility and high patient-satisfaction rate was found as well as the evidence for a superior or equal effectiveness of telemedicine compared to the standard face-to-face approach, however the results were weakened by some methodological biases and wide heterogeneity of interventions, thus preventing to draw definitive conclusions (Piga et al. 2017; Najm, Gossec, et al. 2019).

Objectives:

In rheumatoid arthritis (RA), telemedicine may allow a tight control of disease activity while reducing hospital visits. We developed a smartphone application connected with a physician’s interface to monitor RA patients. We aimed to assess the performance of this e-Health solution in comparison with routine practice in the management of patients with RA.

Methods:

A 6-month pragmatic, randomized, controlled, prospective, clinical trial was conducted in RA patients with high to moderate disease activity starting a new Disease Modifying Anti-Rheumatic Drug (DMARD) therapy. Two groups were established: “connected monitoring” and “conventional monitoring”. The primary outcome was the number of physical visits between baseline and 6 months. Secondary outcomes included adherence, satisfaction, changes in clinical, functional, and health status scores (SF-12).

Results:

Of the 94 randomized patients, 89 completed study: 44 in the “conventional monitoring” arm and 45 in the “connected monitoring” arm. The total number of physical visits between baseline and 6 month was significantly lower in the “connected monitoring” group (0.42 ± 0.58 versus 1.93 ± 0.55; p<0.05). No differences between groups were observed in the clinical and functional scores. A better quality of life for SF-12 subscores (Role-Physical, Social-Functioning and Role-Emotional) were found in the “connected monitoring” group.

Conclusion:

According to our results, a connected monitoring reduces the number of physical visits while maintaining a tight control of disease activity and improving quality of life in patients with RA starting a new treatment.

References:

[1] Najm, Aurelie, Laure Gossec, Catherine Weill, David Benoist, Francis Berenbaum, and Elena Nikiphorou. 2019. “Mobile Health Apps for Self-Management of Rheumatic and Musculoskeletal Diseases: Systematic Literature Review.”JMIR MHealth and UHealth7 (11): e14730.https://doi.org/10.2196/14730.

[2] Piga, Matteo, Ignazio Cangemi, Alessandro Mathieu, and Alberto Cauli. 2017. “Telemedicine for Patients with Rheumatic Diseases: Systematic Review and Proposal for Research Agenda.”Seminars in Arthritis and Rheumatism47 (1): 121–28.https://doi.org/10.1016/j.semarthrit.2017.03.014.

[3] Smolen, Josef S, Robert Landewe, Johannes Bijlsma, Gerd Burmester, Katerina Chatzidionysiou, Maxime Dougados, Jackie Nam, et al. 2017. “EULAR Recommendations for the Management of Rheumatoid Arthritis with Synthetic and Biological Disease-Modifying Antirheumatic Drugs: 2016 Update.”Annals of the Rheumatic Diseases76 (6): 960–77.https://doi.org/10.1136/annrheumdis-2016-210715.

Disclosure of Interests:

None declared

One train may hide another: Acute cardiovascular diseases could be neglected because of the COVID-19 pandemic

Background

Coronavirus disease 2019 (COVID-19) is likely to have significant implications for the cardiovascular care of patients. In most countries, containment has already started (on 17 March 2020 in France), and self-quarantine and social distancing are reducing viral contamination and saving lives. However, these considerations may only be the tip of the iceberg; most resources are dedicated to the struggle against COVID-19, and this unprecedented situation may compromise the management of patients admitted with cardiovascular conditions.

Aim

We aimed to assess the effect of COVID-19 containment measures on cardiovascular admissions in France.

Methods

We asked nine major cardiology centres to give us an overview of admissions to their nine intensive cardiac care units for acute myocardial infarction or acute heart failure, before and after containment measures.

Results

Before containment (02–16 March 2020), the nine participating intensive cardiac care units admitted 4.8 ± 1.6 patients per day, versus 2.6 ± 1.5 after containment (17–22 March 2020) (rank-sum test P = 0.0006).

Conclusions

We confirm here, for the first time, a dramatic drop in the number of cardiovascular admissions after the establishment of containment. Many hypotheses might explain this phenomenon, but we feel it is time raise the alarm about the risk for patients presenting with acute cardiovascular disease, who may suffer from lack of attention, leading to severe consequences (an increase in the number of ambulatory myocardial infarctions, mechanical complications of myocardial infarction leading to an increase in the number of cardiac arrests, unexplained deaths, heart failure, etc.). Similar consequences can be feared for all acute situations, beyond the cardiovascular disease setting.

STADE-HF (sST2 As a help for management of HF): a pilot study

Aims

Biomarkers are not recommended until now to guide the management of patients with heart failure (HF). Soluble suppression of tumorigenicity 2 (sST2) appears as a promising biomarker. The current study considered pre‐discharged sST2 values as a guide for medical management in patients admitted for acute HF decompensation, in an attempt to reduce hospital readmission.

Methods and results

STADE‐HF was a blinded prospective randomized controlled trial and included 123 patients admitted for acute HF. They were randomized into the usual treatment group (unknown sST2 level) or the interventional treatment group, for whom sST2 level was known and used on Day 4 of hospitalization to guide the treatment. The primary endpoint was the readmission rate for any cause at 1 month. It occurred in 10 patients (19%) in the usual group and 18 (32%) in the sST2 group without statistical difference (P = 0.11). Post hoc analysis in the whole group shows that the mean duration of hospitalization was lower in patients with low sST2 (<37 ng/mL) at admission vs. high sST2 (8.5 ± 9.5 vs. 14.8 ± 14.9 days, respectively, P = 0.003). In addition, a decrease in sST2 greater than 18% is significantly associated with a lower readmission rate.

Conclusions

Soluble suppression of tumorigenicity 2‐guided therapy over a short period of time does not reduce readmissions. However, sST2 was clearly associated with duration of hospitalization, and the decrease in sST2 was associated with decreased rehospitalizations. Long‐term outcome using sST2‐guided therapy deserves further investigations.

Complex Wound Healing Outcomes for Outpatients Receiving Care via Telemedicine, Home Health, or Wound Clinic: A Randomized Controlled Trial

Use of telemedicine has expanded rapidly in recent years, yet there are few comparative studies to determine its effectiveness in wound care. To provide experimental data in the field of telemedicine with regard to wound care, a pilot project named “Domoplaies” was publicly funded in France in 2011. A randomized, controlled trial was performed to measure the outcomes of patients with complex wounds who received home wound care from a local clinician guided by an off-site wound care expert via telemedicine, versus patients who received in-home or wound clinic visits with wound care professionals. The publicly funded network of nurses and physicians highly experienced in wound healing was used to provide wound care recommendations via telemedicine for the study. The healing rate at 6 months was slightly better for patients who received wound care via telemedicine (61/89; 68.5%) versus wound care professional at home (38/59; 64.4%) versus wound care clinic (22/35; 62.9%), but the difference was not significant ( P = .860833). The average time to healing for the 121/183 wounds that healed within 6 months was 66.8 ± 32.8 days for the telemedicine group, 69.3 ± 26.7 for the wound care professional at home group, and 55.8 ± 25.0 days for the wound care clinic group. Transportation costs for the telemedicine and home health care groups were significantly lower than the wound clinic group, and death rate was similar between all the 3 groups ( P < .01). Telemedicine performed by wound healing clinicians working in a network setting offered a safe option to remotely manage comorbid, complex wound care patients with reduced mobility.

The risk of emergency department visits in adults living in rural France

Background

Individuals living in rural areas have poorer health outcomes due to complex causal pathways related to socio-economic status, health behaviors and lower use of primary care. Emergency department visits without inpatient admission (hereafter ED visits) are an indirect measure of access to primary care.

Objective

To analyze the determinants of ED visits among French adults living in rural areas.

Methods

We analyze survey data from the CONSTANCES cohort study, a representative sample of French adults aged 18-69 years. These data on individuals’ demographics, self-reported and physician-reported clinical indicators, and individual socio-economic status, are linked to France’s claims database (SNIIRAM). We analyze the risk of having at least one ED visit, in 2016, using a multivariate logistic regression model.

Results

Among 12,834 adults included in the study, 1,412 (11%) had at least one ED visit in 2016. After adjustment, the ED visit risk was associated negatively with female gender (OR = 0.87; p &lt; 0.01), age (OR = 0.97; p &lt; 0.01), secondary education (OR = 0.85; p = 0.03), higher use of GPs (OR = 0.99; p = 0.02); and positively associated with the number of comorbidities (OR = 1.1; p &lt; 0.01), poorer self-reported health status (OR = 1.01; p = 0.02), a higher self-reported depression score (OR = 1.01; p = 0.02), and acute care inpatient admissions (OR = 2.4; p &lt; 0.01).

Conclusions

These results suggest that, among adults living in rural France, those with a lower educational level are at higher risk of ED visits.

Policy implications: To reduce health disparities among rural and urban areas, policymakers and primary care professionals should focus on targeted outreach strategies to identify high-needs individuals.

Key messages

The risk of emergency department visit varies significantly among adult living in rural France. Among adults living in rural France, those with a lower educational level are at higher risk of ED visit.

Individual Versus Area Level Social Risk Measurement in the General French Population

Background

Ongoing health policy changes include a move towards alternative delivery and payment models. In addition, the emphasis is put on social determinants as part of performance measurement and payment calibration. Most payers and policy makers rely on area-level socio-economic data, which can lead to sub-optimal. However, little is known about the agreement between individual and area-level variables. The objective was to assess the agreement between individual and area-level social risk variables in the general French population.

Methods

We used data from the CONSTANCES general-purpose cohort, a randomly selected representative sample of French adults aged 18-69 years. Data collected include socioeconomic and demographic characteristics, behaviors, and health data. We assessed the correlation or agreement between individual and area-level variables for 4 dimensions: household annual pretax income, secondary education completion, occupational group (workers), and unemployment.

Results

115,263 individuals were included in the study, 53% female and aged 48 years on average. The median annual household income was 42,000 Euros (USD 50,400), 73% had completed secondary education, 7% were unemployed, and 9.3% were workers. The correlation between income measured at the individual and area level was positive but moderate (Rho=0.20; p &lt; 0.01). Individuals having completed secondary education had a higher area-level median completion rate compared to those having a lower education level (48% versus 41%; p &lt; 0.01). Unemployed individuals had a slightly higher area-level median unemployment rate compared to employed ones (11% versus 10%; p &lt; 0.01). Lastly, workers had a higher area-level median probability to be a worker rate compared to other individuals ones (25% versus 18%; p &lt; 0.01).

Conclusions

In the general French population, area-level socio-economic variables are poor proxies for individual-level social risk.

Key messages

Area-level socio-economic data is a poor proxy for individual data. Researchers and policy makers should move towards individual data.

Machine learning application to the reduction of ambulatory care sensitive admissions (ACSA)

Background

Reducing Ambulatory Care Sensitive Admissions (ACSA) not only enhances patients’ quality of life but could also save substantial costs. ACSA are avoidable admissions for chronic conditions that are associated with socio-economic status, health status, utilization and readiness of primary care service as well as environmental factors. Undoubtedly, health authorities are highly interested in enhancing the health care services in order to reduce the number of ACSA. The objective is to identify the geographic areas where the primary care workforce should be increased in order to maximize the decrease in ACSA.

Methods

Using ambulatory care and inpatient claims data as well as contextual variables, we apply support vector machine regression (SVR) to select the geographic areas (fr. Bassins de vie - BVs) and the number of to-be-added primary care nurses that maximize the ACSA reduction. We also take into account the constraints related to budget and the equality of health care access. Particularly, there are three possible constraints: (1) the total number of nurses can be added in the whole region; (2) the maximum number of the nurses can be added at each area; (3) the maximum density of nurses (numbers of the nurses per 10,000 habitants) can be reached at each area. The results are visualized using spatial maps.

Preliminary results

In 2014, 27,000 ACSA occurred in the Occitanie, France region. For a specific set of constraints values, the model identified 16 BVs (out of 201) where the addition of 30 nurses could lead to the maximum ACSA reduction in number which is 17.

Conclusions

In the French Occitanie region, our SVR model was able to target a small number of geographic areas to maximize the impact of increased primary care workforce on ACSA. Our approach is applied to a single region, and it can be applied to other regions or extended at the national level as well as to other countries.

Key messages

A decision support tool to help health authorities in locating primary health care resources for the maximum reduction of ambulatory care sensitive admissions. An application of machine learning in primary care services.

The Reference Site Collaborative Network of the European Innovation Partnership on Active and Healthy Ageing

Seventy four Reference Sites of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) have been recognised by the European Commission in 2016 for their commitment to excellence in investing and scaling up innovative solutions for active and healthy ageing. The Reference Site Collaborative Network (RSCN) brings together the EIP on AHA Reference Sites awarded by the European Commission, and Candidate Reference Sites into a single forum. The overarching goals are to promote cooperation, share and transfer good practice and solutions in the development and scaling up of health and care strategies, policies and service delivery models, while at the same time supporting the action groups in their work. The RSCN aspires to be recognized by the EU Commission as the principal forum and authority representing all EIP on AHA Reference Sites. The RSCN will contribute to achieve the goals of the EIP on AHA by improving health and care outcomes for citizens across Europe, and the development of sustainable economic growth and the creation of jobs.

Admissions to intensive cardiac care units in France in 2014: A cross-sectional, nationwide population-based study

Geographic variation in admission to the intensive cardiac care unit (ICCU) might question about the efficiency and the equity of the healthcare system. The aim was to explain geographic variation in the rate of admission to ICCU for coronary artery disease (CAD) or heart failure (HF) in France.We conducted a retrospective study based on the French national hospital discharge database. All inpatient stays for CAD or HF with an admission to an ICCU in 2014 were included. We estimated population-based age and sex-standardized ICCU admission rates at the department level. We separately modeled the department-level admission rates for HF and CAD using generalized linear models.In all, 61,010 stays for CAD and 27,828 stays for HF had at least 1 ICCU admission. The ICCU admission rates were explained by the admission rate for CAD, by the diabetes prevalence, by the proportion of the population >75 years, and by the drive time to the ICCU.This work sheds light on the finding of substantial geographic variation in the ICCU admission rates for CAD and HF in France. This variation is explained by both the age and the health status of the population and also by the drive time to the closest ICCU for HF. Moreover, ICCU admission for HF might be more prone to unwarranted variations due to medical practice patterns.

Thirty-day rehospitalizations among elderly patients with acute myocardial infarction: Impact of postdischarge ambulatory care

Rehospitalization after acute myocardial infarction (AMI) is common in elderly patients. It increases morbimortality and health care expenditures. The association between ambulatory care after discharge for AMI and rehospitalization has never been studied in France. We analyzed the impact of ambulatory care on rehospitalization of elderly patients (≥65 years) within 30 days after hospital discharge.We conducted a nationwide population-based study of elderly patients hospitalized with a main diagnosis of AMI in France between 2011 and 2013. We excluded patients hospitalized for AMI in the previous year and those who died during the index hospitalization or within 30 days after discharge. The primary outcome was the first all-cause 30-day rehospitalization in an acute care hospital. Individual and neighborhood-level variables were compared among rehospitalized and nonrehospitalized patients. Determinants of 30-day rehospitalization were identified using logistic regression models.Among the 624 eligible patients, 137 (22.0%) were rehospitalized within 30 days after discharge. In multivariate analyses, chronic kidney failure (odds ratio [OR] 1.88; 95% confidence interval [CI], 1.01-3.53) was an independent predictor of 30-day rehospitalization. We found no association among deprivation and spatial accessibility measures and 30-day rehospitalization. The purchase of lipid-lowering drugs prescription within 7 days after discharge was associated with a reduced risk of 30-day rehospitalization (OR 0.53; 95% CI, 0.36-0.79).This study highlights the role of coordination among hospital and primary care physicians in post-AMI discharge and follow-up among elderly patients. Specifically, targeted interventions to reduce 30-day rehospitalizations should focus on patients with comorbidities and use of prescription drugs after hospital discharge.

[Data sources, the data used, and the modality for collection]

The hospital costing process implies access to various sources of data. Whether a micro-costing or a gross-costing approach is used, the choice of the methodology is based on a compromise between the cost of data collection, data accuracy, and data transferability. This work describes the data sources available in France and the access modalities that are used, as well as the main advantages and shortcomings of: (1) the local unit costs, (2) the hospital analytical accounting, (3) the Angers database, (4) the National Health Cost Studies, (5) the INTER CHR/U databases, (6) the Program for Medicalizing Information Systems, and (7) the public health insurance databases.

Impact of iron deficiency diagnosis using hepcidin mass spectrometry dosage methods on hospital stay and costs after a prolonged ICU stay: Study protocol for a multicentre, randomised, single-blinded medico-economic trial

BACKGROUND

Iron deficiency (ID) is frequent but difficult to diagnose in critically ill patients. ID may be responsible for prolonged post-ICU hospital stays, since it results in fatigue, muscle weakness and anaemia. Hepcidin, the key iron metabolism hormone, may be a good marker of ID in these patients. The aim of this study is to determine whether using mass spectrometry hepcidin determination to diagnose (and treat) ID after prolonged ICU stays may reduce patients' subsequent hospital stays and costs in comparison with conventional (ferritin) methods.

METHODS

This is a randomised, controlled, single-blinded, multicentre medico-economic study. Hepcidin quantification will be performed in anaemic (WHO criteria) critically ill adults about to be discharged, after a stay ≥5days. In the intervention arm (hepcidin) results will be given to the ICU-physicians, and not in the control arm. ID Treatment will be recommended in intervention arm: IV iron when hepcidin is <20μg/L; IV iron+erythropoietin when hepcidin is between 20-41μg/L; in the control arm: IV iron when ferritin <300μg/L and Transferrin saturation <20%. The primary endpoint will be the number of days spent in hospital 90 days after ICU discharge and the direct hospital costs. Secondary endpoints will be anaemia and iron deficiency on D15, fatigue and the proportion of patients alive and at home on D30 and D90.

DISCUSSION

The results of this study will show whether diagnosing iron deficiency using MS hepcidin determination methods is liable to reduce patients' post-ICU hospital stay and costs, as well as their anaemia and fatigue.

Determination of critical operational conditions favoring sulfide production from domestic wastewater treated by a sulfur-utilizing denitrification process

The aim of this study was to determine the critical operational conditions leading to the generation of sulfide in a domestic wastewater treated by a sulfur-utilizing denitrification process. The influence of various important parameters on the reduction of the sulfates present in denitrified domestic wastewaters to sulfide was studied. Experiments were carried out in batch mode with denitrified domestic wastewaters containing various amounts of both organic matter and sulfates. Preliminary results showed that aqueous sulfide was generated for DOC and sulfate contents higher than 56 mg/L and 371 mg/L, respectively, while DOC and sulfate contents of 77 mg/L and 412 mg/L, respectively, were required to allow the release of gaseous H₂S. Good correlations were also observed between gaseous sulfide production and the values of ORP and DOC, while the amounts of dissolved sulfide produced seemed to be correlated with the ORP values and the concentration of sulfates. Additional experiments were conducted using a Box-Behnken methodology to determine if the production of aqueous or gaseous sulfide can be predicted depending on the DOC (from 50 to 90 mg/L) and sulfate contents (from 160 to 380 mg/L) at various temperatures ranging from 5 to 25 °C. The highest sulfide generation (H₂S_(g) = 84.8 ppm and H₂S_(aq) = 2.42 mg/L) occurred at 25 °C with DOC and sulfate concentrations starting from 90 mg/L and 270 mg/L, respectively, indicating that the production of sulfides from denitrified domestic wastewaters required conditions not likely to occur at the effluent of a sulfur-based denitrification unit following secondary treatment.

MACVIA-LR (Fighting Chronic Diseases for Active and Healthy Ageing in Languedoc-Roussillon): A Success Story of the European Innovation Partnership on Active and Healthy Ageing

The Région Languedoc Roussillon is the umbrella organisation for an interconnected and integrated project on active and healthy ageing (AHA). It covers the 3 pillars of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA): (A) Prevention and health promotion, (B) Care and cure, (C) and (D) Active and independent living of elderly people. All sub-activities (poly-pharmacy, falls prevention initiative, prevention of frailty, chronic respiratory diseases, chronic diseases with multimorbidities, chronic infectious diseases, active and independent living and disability) have been included in MACVIA-LR which has a strong political commitment and involves all stakeholders (public, private, patients, policy makers) including CARSAT-LR and the Eurobiomed cluster. It is a Reference Site of the EIP on AHA. The framework of MACVIA-LR has the vision that the prevention and management of chronic diseases is essential for the promotion of AHA and for the reduction of handicap. The main objectives of MACVIA-LR are: (i) to develop innovative solutions for a network of Living labs in order to reduce avoidable hospitalisations and loss of autonomy while improving quality of life, (ii) to disseminate the innovation. The three years of MACVIA-LR activities are reported in this paper.

Data on nation-wide activity in intensive cardiac care units in France in 2014

We present data in relation to the article entitled “Description of acute cardiac care in 2014:

A French nation-wide database on 277,845 admissions in 270 ICCUs”.(10.1016/j.ijcard.2017.04.002) (Roubille et al., 2017) [1]: the main characteristics of the pathologies managed in the intensive cardiac care units (ICCUs), the details on the interventions performed and the main differences between centers following the size of the centers and a figure presenting the monthly variations of admissions in the ICCUs in France in a total of 277,845 patients in 270 centers admitted at least one time in the ICCUs in 2014 (exhaustive data).

Description of acute cardiac care in 2014: A French nation-wide database on 277,845 admissions in 270 ICCUs

BACKGROUND

The Intensive Cardiac Care Unit (ICCU) has greatly evolved for decades: it no longer includes only patients with coronary artery disease (CAD). The clinical characteristics and pathological profiles of patients have markedly changed. Detailed data on the topic are critically lacking.

METHODS

We present here a French nation-wide administrative database with an exhaustive description of patients admitted to ICCU throughout a whole year (2014).

RESULTS

A total of 277,845 patients in 270 centers were admitted to ICCUs at least once in 2014 (exhaustive data). Median age was 71years (IQR: 59-81) and the patients were primarily male (63%). Mean ICCU stay was 2.0days (1.0-4.0). CAD patients (49.0%) represented the major group admitted, followed by patients with arrhythmias (15.2%) and heart failure (HF) (10.0%). Patients admitted with acute CAD were significantly younger (mean age 67.4 y), had better outcomes (mortality 4.0%), and shorter hospital stays (mean stay 6.7 d). Patients with HF were significantly older (mean age 75.2 y), with longer hospital stays (mean stay 12.0 d), and poorer outcomes (mortality 10.5%).

CONCLUSION

We present here the largest contemporary administrative database on patients admitted to ICCUs in a developed country. CAD (mainly acute coronary syndromes) remains the primary cause of admission but the population is, by far, more complex than generally considered.