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10.1002/acr.22268

http://scihub22266oqcxt.onion/10.1002/acr.22268
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C4069249!4069249!24376263
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suck abstract from ncbi


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pmid24376263      Arthritis+Care+Res+(Hoboken) 2014 ; 66 (7): 1057-62
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  • Longitudinal validation of the Brief Index of Lupus Damage (BILD) #MMPMID24376263
  • Katz P; Trupin L; Rush S; Yazdany J
  • Arthritis Care Res (Hoboken) 2014[Jul]; 66 (7): 1057-62 PMID24376263show ga
  • Objective: To provide further validation of the Brief Index of Lupus Damage (BILD), assessing its sensitivity to change in disease status and ability to predict mortality risk. Methods: Data were from the UCSF Lupus Outcomes Study (LOS; n=958), in which the BILD was administered twice, approximately 5 years apart. We examined disease activity and health care utilization among participants who completed the BILD twice (n=745). We identified increases in disease activity and utilization that would suggest a disease flare between the two BILD administrations and compared their occurrence by BILD score increases (0, 1, 2, 3, >3). Deaths were ascertained when annual interviews were attempted. Kaplan-Meier life-table analysis compared mortality rates for four groups of initial BILD scores (0, 1, 2, ?3), and differences were tested using a log-rank test. Using Cox proportional hazard models, we estimated risk of death associated with higher BILD scores. Results: BILD score increases were associated with spikes in disease activity (p=0.05) and physician visits (p=0.004) over baseline, and with hospitalizations (p<0.001) during the intervening years. Of those with BILD score increases >3, 84% were hospitalized prior to the second BILD. During follow-up there were 60 deaths (6.3%). BILD scores of 2 (hazard ratio: 6.1 [95% confidence interval 1.3?30.0]) and ?3 (10.8 [2.5?46.2]) were associated with higher risk of death. Conclusion: This analysis provides evidence of the BILD?s predictive validity and ability to detect change. While not intended to replace clinical evaluation of disease damage, the BILD appears to be a useful tool for research.
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