Article

Renal damage is the most important predictor of mortality within the damage index: data from LUMINA LXIV, a multiethnic US cohort.

Department of Medicine, Division of Clinical Immunology and Rheumatology, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA.
Rheumatology (Oxford, England) (impact factor: 4.24). 03/2009; 48(5):542-5. DOI:10.1093/rheumatology/kep012 pp.542-5
Source: PubMed

ABSTRACT Damage accrual in SLE has been previously shown to be an independent predictor of mortality. We sought to discern which SLICC Damage Index (SDI) domains are the most important predictors of survival in SLE.
SLE patients (ACR criteria), age > or =16 years, disease duration < or =5 years at enrolment, of African-American, Hispanic or Caucasian ethnicity were studied. Disease activity was assessed using the SLAM-Revised (SLAM-R) at diagnosis. Damage was ascertained using the SDI at the last visit. The SDI domains associated with time to death (and interaction terms) were examined by univariable and multivariable Cox proportional hazards regression analyses; those significant in the multivariable analyses were added to the final two models (with and without poverty) that included other variables known to be associated with shorter survival.
A total of 635 SLE patients were studied of whom 97 (15.3%) have died over a mean (s.d.) total disease duration of 5.7 (3.7) years. Patients were predominantly women [570 (89.8%)]; their mean (s.d.) age was 36.5 (12.6) years; 126 (19.8%) had developed renal damage, 62 (9.3%) cardiovascular, 48 (7.8%) pulmonary and 34 (5.4%) peripheral vascular damage. When excluding poverty from the multivariable model, the renal domain of the SDI was independently associated with a shorter time to death (hazard ratio = 1.65; 95% CI 1.03, 2.66).
The renal domain of the damage index is associated with a shorter time to death when poverty, a strong predictor of this outcome, is removed from the model. Preventing renal damage in lupus patients has long-term prognostic implications.

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Keywords

635 SLE patients
 
ACR criteria
 
Caucasian ethnicity
 
Damage accrual
 
damage index
 
Disease activity
 
disease duration
 
independent predictor
 
lupus patients
 
multivariable analyses
 
multivariable Cox proportional hazards regression analyses
 
multivariable model
 
predictors
 
Preventing renal damage
 
renal damage
 
SDI domains
 
shorter time
 
SLE patients
 
SLICC Damage Index
 
strong predictor