Mapping and predicting mortality from systemic sclerosis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F17%3A10364691" target="_blank" >RIV/00216208:11110/17:10364691 - isvavai.cz</a>
Alternative codes found
RIV/00023728:_____/17:N0000055 RIV/00064165:_____/17:10364691
Result on the web
<a href="http://dx.doi.org/10.1136/annrheumdis-2017-211448" target="_blank" >http://dx.doi.org/10.1136/annrheumdis-2017-211448</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1136/annrheumdis-2017-211448" target="_blank" >10.1136/annrheumdis-2017-211448</a>
Alternative languages
Result language
angličtina
Original language name
Mapping and predicting mortality from systemic sclerosis
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30226 - Rheumatology
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Annals of the Rheumatic Diseases
ISSN
0003-4967
e-ISSN
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Volume of the periodical
76
Issue of the periodical within the volume
11
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
1897-1905
UT code for WoS article
000412506700023
EID of the result in the Scopus database
2-s2.0-85030983267