Mapping and predicting mortality from systemic sclerosis
(2017) In Annals of the Rheumatic Diseases 76(11). p.1897-1905- Abstract
Objectives To determine the causes of death and risk factors in systemic sclerosis (SSc). Methods Between 2000 and 2011, we examined the death certificates of all French patients with SSc to determine causes of death. Then we examined causes of death and developed a score associated with all-cause mortality from the international European Scleroderma Trials and Research (EUSTAR) database. Candidate prognostic factors were tested by Cox proportional hazards regression model by single variable analysis, followed by a multiple variable model stratified by centres. The bootstrapping technique was used for internal validation. Results We identified 2719 French certificates of deaths related to SSc, mainly from cardiac (31%) and respiratory... (More)
Objectives To determine the causes of death and risk factors in systemic sclerosis (SSc). Methods Between 2000 and 2011, we examined the death certificates of all French patients with SSc to determine causes of death. Then we examined causes of death and developed a score associated with all-cause mortality from the international European Scleroderma Trials and Research (EUSTAR) database. Candidate prognostic factors were tested by Cox proportional hazards regression model by single variable analysis, followed by a multiple variable model stratified by centres. The bootstrapping technique was used for internal validation. Results We identified 2719 French certificates of deaths related to SSc, mainly from cardiac (31%) and respiratory (18%) causes, and an increase in SSc-specific mortality over time. Over a median follow-up of 2.3 years, 1072 (9.6%) of 11 193 patients from the EUSTAR sample died, from cardiac disease in 27% and respiratory causes in 17%. By multiple variable analysis, a risk score was developed, which accurately predicted the 3-year mortality, with an area under the curve of 0.82. The 3-year survival of patients in the upper quartile was 53%, in contrast with 98% in the first quartile. Conclusion Combining two complementary and detailed databases enabled the collection of an unprecedented 3700 deaths, revealing the major contribution of the cardiopulmonary system to SSc mortality. We also developed a robust score to risk-stratify these patients and estimate their 3-year survival. With the emergence of new therapies, these important observations should help caregivers plan and refine the monitoring and management to prolong these patients' survival.
(Less)
- author
- author collaboration
- organization
- publishing date
- 2017-11-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- cardiovascular disease, epidemiology, pulmonary fibrosis, systemic sclerosis
- in
- Annals of the Rheumatic Diseases
- volume
- 76
- issue
- 11
- pages
- 9 pages
- publisher
- BMJ Publishing Group
- external identifiers
-
- scopus:85030983267
- pmid:28835464
- wos:000412506700023
- ISSN
- 0003-4967
- DOI
- 10.1136/annrheumdis-2017-211448
- language
- English
- LU publication?
- yes
- id
- 1ba55a46-45cb-448d-aa03-d8467a51e521
- date added to LUP
- 2017-10-30 09:49:03
- date last changed
- 2024-04-14 21:19:40
@article{1ba55a46-45cb-448d-aa03-d8467a51e521,
abstract = {{<p>Objectives To determine the causes of death and risk factors in systemic sclerosis (SSc). Methods Between 2000 and 2011, we examined the death certificates of all French patients with SSc to determine causes of death. Then we examined causes of death and developed a score associated with all-cause mortality from the international European Scleroderma Trials and Research (EUSTAR) database. Candidate prognostic factors were tested by Cox proportional hazards regression model by single variable analysis, followed by a multiple variable model stratified by centres. The bootstrapping technique was used for internal validation. Results We identified 2719 French certificates of deaths related to SSc, mainly from cardiac (31%) and respiratory (18%) causes, and an increase in SSc-specific mortality over time. Over a median follow-up of 2.3 years, 1072 (9.6%) of 11 193 patients from the EUSTAR sample died, from cardiac disease in 27% and respiratory causes in 17%. By multiple variable analysis, a risk score was developed, which accurately predicted the 3-year mortality, with an area under the curve of 0.82. The 3-year survival of patients in the upper quartile was 53%, in contrast with 98% in the first quartile. Conclusion Combining two complementary and detailed databases enabled the collection of an unprecedented 3700 deaths, revealing the major contribution of the cardiopulmonary system to SSc mortality. We also developed a robust score to risk-stratify these patients and estimate their 3-year survival. With the emergence of new therapies, these important observations should help caregivers plan and refine the monitoring and management to prolong these patients' survival.</p>}},
author = {{Elhai, Muriel and Meune, Christophe and Boubaya, Marouane and Avouac, Jérôme and Hachulla, Eric and Balbir-Gurman, Alexandra and Riemekasten, Gabriela and Airò, Paolo and Joven, Beatriz and Vettori, Serena and Cozzi, Franco and Ullman, Susanne and Czirják, László and Tikly, Mohammed and Müller-Ladner, Ulf and Caramaschi, Paola and Distler, Oliver and Iannone, Florenzo and Ananieva, Lidia P. and Hesselstrand, Roger and Becvar, Radim and Gabrielli, Armando and Damjanov, Nemanja and Salvador, Maria Joao and Riccieri, Valeria and Mihai, Carina and Szücs, Gabriella and Walker, Ulrich A. and Hunzelmann, Nicolas and Martinovic, Duska and Smith, Vanessa and Müller, Carolina De Souza and Montecucco, Carlo Maurizio and Opris, Daniela and Ingegnoli, Francesca and Vlachoyiannopoulos, Panayiotis G. and Stamenkovic, Bojana and Rosato, Edoardo and Heitmann, Stefan and Distler, Jörg H W and Zenone, Thierry and Seidel, Matthias and Vacca, Alessandra and De Langhe, Ellen and Novak, Srdan and Cutolo, Maurizio and Mouthon, Luc and Henes, Jörg and Chizzolini, Carlo and von Mühlen, Carlos Alberto}},
issn = {{0003-4967}},
keywords = {{cardiovascular disease; epidemiology; pulmonary fibrosis; systemic sclerosis}},
language = {{eng}},
month = {{11}},
number = {{11}},
pages = {{1897--1905}},
publisher = {{BMJ Publishing Group}},
series = {{Annals of the Rheumatic Diseases}},
title = {{Mapping and predicting mortality from systemic sclerosis}},
url = {{http://dx.doi.org/10.1136/annrheumdis-2017-211448}},
doi = {{10.1136/annrheumdis-2017-211448}},
volume = {{76}},
year = {{2017}},
}