The baseline physical component score of the Medical Outcomes Short Form 36 (SF-36) was an independent predictor of mortality for patients with systemic lupus erythematosus (SLE), according to recent analysis of data from the University of California, San Francisco, (UCSF) Lupus Outcomes Study.
Desiree R. Azizoddin, PsyD, of Stanford Health Care in Palo Alto, Calif., and her colleagues analyzed patient-reported outcomes (PROs) of 728 patients with SLE from the UCSF study, which included measures such as self-rated health, the Center for Epidemiologic Studies Depression scale (CESD), and SF-36 mental and physical component scores between 2007 and 2015. Patients had a mean age of 50.6 years and consisted of mostly whites (68.5%) and women (92.2%), with a mean SLE disease duration of 16.7 years.
“As PROs can be measured easily, quickly, reliably in a systematic manner, without use of many resources (including cost) and experts, PROs can serve as an important tool in community settings that provide care for individuals with SLE,” Dr. Azizoddin and her colleagues wrote in Arthritis Care & Research. “Implementation and integration of PROs may potentially help decrease mortality among patients with SLE in the long run.”
The researchers reported 71 deaths (9.8%) in the study. A univariate analysis showed that self-rated health as fair or poor and all SF-36 subscale scores, except for mental health and role emotional subscales, were predictors of mortality. After the investigators performed a multivariate analysis, they found that baseline SF-36 physical component scores alone were associated with an increased mortality risk (hazard ratio, 0.97; 95% confidence interval, 0.94-0.99; P less than .01), with a 3.5% lower risk for each point-rating increase in the score.
“Insight to predictors of mortality, above and beyond those that require physician resources such as assessments of renal involvement and traditional physician-completed measures of disease activity and damage in this complex disease, affords rheumatologists and SLE providers with additional tools to assess potential patient health trajectories,” Dr. Azizoddin and her colleagues wrote in their study. “Identification of such predictors will expand opportunities for early interventions aimed at the reduction of such risk, including allocation of appropriate medical resources in areas with large numbers of patients with compromised health.”
The researchers noted that bias in self-reporting, a lack of prospective evaluations at each visit, and clinical applicability to only similar cohorts were limitations in the study.
This study was funded by the Robert Wood Johnson Foundation Investigator Awards in Health Policy Research and individually was awarded grants from the National Institute of Arthritis and Musculoskeletal and Skin Diseases.
SOURCE: Azizoddin DR et al. Arthritis Care Res. 2018 Aug 24. doi: 10.1002/acr.23734.