Comparison of Two Methods for Estimating MS-Related Mortality: The Excess Mortality vs. the Cause-Specific Frameworks - EHESP - École des hautes études en santé publique Access content directly
Journal Articles Neurology Year : 2023

Comparison of Two Methods for Estimating MS-Related Mortality: The Excess Mortality vs. the Cause-Specific Frameworks

1 HCL - Hospices Civils de Lyon
2 CRNL - Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center
3 Fondation Eugène Devic EDMUS
4 Santé publique France - French National Public Health Agency [Saint-Maurice, France]
5 LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
6 APEMAC - Adaptation, mesure et évaluation en santé. Approches interdisciplinaires
7 Service de neurologie [CHRU Nancy]
8 Service de Neurologie [CHU Rennes]
9 CIC - Centre d'Investigation Clinique [Rennes]
10 Infinity - Institut Toulousain des Maladies Infectieuses et Inflammatoires
11 Département Neurologie [CHU Toulouse]
12 U1215 Inserm - UB - Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale
13 Service de neurologie [Bordeaux]
14 Centre d’Investigation Clinique Plurithématique (CIC - P) - CIC Strasbourg
15 LilNCog - Lille Neurosciences & Cognition - U 1172
16 CHU Montpellier
17 Service de Neurologie [CHU Caen]
18 Service de Neurologie [CHU Nice]
19 CHU Dijon
20 U1064 Inserm - CR2TI - Centre de Recherche en Transplantation et Immunologie - Center for Research in Transplantation and Translational Immunology
21 CHU Nantes - Centre hospitalier universitaire de Nantes
22 Service de Neurologie [CHRU Besançon]
23 Neuro-Dol - Neuro-Dol
24 Service de Neurologie [CHU Clermont-Ferrand]
25 TIMONE - Hôpital de la Timone [CHU - APHM]
26 IGF - Institut de Génomique Fonctionnelle
27 Pôle NIRR - Service de Neurologie [CHU Nimes]
28 Centre hospitalier intercommunal de Poissy/Saint-Germain-en-Laye - CHIPS [Poissy]
29 Service de Neurologie [CHU de Saint-Étienne]
30 REPERES - Recherche en Pharmaco-épidémiologie et Recours aux Soins
31 METIS - Département Méthodes quantitatives en santé publique
32 EHESP - École des Hautes Études en Santé Publique [EHESP]
33 UR - Université de Rennes
34 ARENES - Arènes: politique, santé publique, environnement, médias
35 CoRHASI - Collectif de recherche handicap, autonomie et société inclusive
36 RSMS - Recherche sur les services et le management en santé
Jerome de Seze
Helene Zephir
Pierre Labauge
Christine Lebrun-Frenay
Thibault Moreau
  • Function : Author
Jean Pelletier

Abstract

Background and objective: Determining whether multiple sclerosis (MS) causes death is challenging. Our objective was to contrast two frameworks to estimate probabilities of death attributed to MS (PMS) and to other causes (POther): the cause-specific framework (CSF) which requires the causes of death and the excess mortality framework (EMF) which does not. Methods: We used data from the Observatoire Français de la Sclérose en Plaques (OFSEP, n=37,524) and from a comparative subset where causes of death was available (4,004 women with relapsing onset (R-MS)). In CSF, the probabilities were estimated using Aalen-Johansen method. In EMF, they were estimated from the excess mortality hazard, which is the additional mortality among MS patients as compared to the expected mortality in the matched general population. PMS were estimated at 30 years of follow-up, i) with both frameworks in the comparative subset, by age group at onset, and ii) with EMF only in the OFSEP population, by initial phenotype, sex and age at onset. Results: In the comparative subset, the estimated 30-year PMS were greater using EMF than CSF: respectively 10.9% [95%CI 8.3-13.6] vs 8.7% [6.4-11.8] among the youngest, and 20.4% [11.3-29.5] vs 16.2% [8.7-30.2] for the oldest groups. In the CSF, probabilities of death from unknown causes ranged from 1.5% [0.7-3.0] to 6.4% [2.5-16.4], and even after their reallocation, PMS remained lower with CSF than with EMF. The estimated probabilities of being alive were close using the two frameworks and the estimated POther (EMF vs CSF) were 2.6% [2.5-2.6] vs 2.1% [1.2-3.9] and 18.1% [16.9-19.3] vs 26.4% [16.5-42.2] respectively for the youngest and oldest groups. In the OFSEP population, the estimated 30-year PMS ranged from 7.5 [6.4-8.7] to 24.0% [19.1-28.9] in R-MS patients and from 25.4 [21.1-29.7] to 36.8% [28.3-45.3] in primary progressive patients, depending on sex and age. Discussion: EMF has the strong advantage of not requiring death certificates, which quality is sub-optimal. Conceptually, it also appears more relevant as it avoids having to state, for each individual, if death was directly or indirectly caused by MS or if it would have occurred anyway, which is especially difficult in such chronic diseases.
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Dates and versions

hal-04250392 , version 1 (19-10-2023)

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Cite

Fabien Rollot, Zoe Uhry, Emmanuelle Dantony, Sandra Vukusic, Marc Debouverie, et al.. Comparison of Two Methods for Estimating MS-Related Mortality: The Excess Mortality vs. the Cause-Specific Frameworks. Neurology, 2023, pp.10.1212/WNL.0000000000207925. ⟨10.1212/WNL.0000000000207925⟩. ⟨hal-04250392⟩
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