Medical outcomes study short form-36: a consistent and powerful predictor of morbidity and mortality in dialysis patients

Lowrie, Edmund G.; Curtin, Roberta Braun; LePain, Nancy; Schatell, Dori

doi:10.1016/s0272-6386(03)00361-5

Cited by 274 publications

(211 citation statements)

References 16 publications

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“…Both diabetes and nutritional status are linked to PCS and MCS scores (23). Importantly, there were no diabetic subjects in this COHORT, and all were relatively healthy and demonstrated good nutritional status based on their estimated dietary protein intake (data not shown).…”

Section: Discussionmentioning

confidence: 93%

Quality of Life in Autosomal Dominant Polycystic Kidney Disease Patients not yet on Dialysis

Rizk

Jurkovitz

Veledar

et al. 2009

Clinical Journal of the American Society of Nephrology

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Section: Discussionmentioning

confidence: 93%

Quality of Life in Autosomal Dominant Polycystic Kidney Disease Patients not yet on Dialysis

Rizk

Jurkovitz

Veledar

et al. 2009

Clinical Journal of the American Society of Nephrology

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“…The SF-36 and KDQOL have been used extensively in the dialysis population. [1][2][3][4][5][6] We scored the instrument according to the recommendations of its developers, i.e., using the RAND method of scoring. 20,21 …”

Section: Health-related Quality Of Lifementioning

confidence: 99%

“…[1][2][3][4][5][6] Thus, there has been considerable interest in elucidating the determinants of poor self-reported physical functioning. Demographic factors such as age, race, and sex are associated with differences in self-reported physical functioning in this population, [2][3][4]7 but these are not potential targets for intervention.…”

Section: Introductionmentioning

confidence: 99%

Chronic Kidney Disease Mineral Bone Disorder and Health-Related Quality of Life Among Incident End-Stage Renal-Disease Patients

Johansen

Chertow

2007

Journal of Renal Nutrition

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Objective-To determine the extent to which chronic kidney disease mineral bone disorder (CKD-MBD) is associated with HRQOL among incident dialysis patients. Design-Cross-sectional analysis Setting-United States Renal Data System Dialysis Morbidity and Mortality Study (DMMS), Wave 2Patients-2590 adult participants in DMMS Wave 2 for whom quality of life and laboratory data were available Methods-We stratified patients according to their serum concentrations of phosphorus, calcium, and parathyroid hormone (PTH) and compared HRQOL as a function of these indicators in analyses adjusted for demographic, clinical, and other laboratory variables. Results-Both high and low serum phosphorus concentrations were associated with lower PCS (−1.25 to −1.48 points compared to the reference category), as was low PTH (−1.49 points). Low serum phosphorus was associated with more severe symptoms of kidney disease (−3.88 points) but there were no associations between high phosphorus or either extreme of PTH and the Symptom score. Serum calcium concentration and the calcium × phosphorus product were unassociated with PCS or Symptom scores. There were no associations among phosphorus, calcium, or PTH and MCS. Analyses simultaneously controlling for serum phosphorus, calcium, and PTH showed similar results. Main Outcome Measures-PhysicalConclusions-High and low serum phosphorus and low PTH are associated with slightly poorer self-reported physical functioning. Clinical trials will be necessary to determine whether and to what extent improvement in health status may occur with correction of selected disorders of mineral metabolism.

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“…Because HRQOL is a consistent predictor of mortality in ESRD (8,(11)(12)(13)(14), there is interest in measuring HRQOL in both clinical trials and everyday clinical practice. This acknowledgment that the burden of ESRD extends beyond its impact on traditional biologic measures is reflected in initiatives from the National Kidney Foundation to support efforts aimed at improving HRQOL in patients with ESRD (5); however, many clinicians are not well versed in the interpretation of HRQOL, and HRQOL may fail to resonate with clinicians in the same way as traditional biomarkers such as dialysis adequacy indices, mineral metabolism markers, or anemia markers, among others.…”

mentioning

confidence: 99%

Biomarkers and Health-Related Quality of Life in End-Stage Renal Disease

Spiegel

Melmed

Robbins

et al. 2008

Clinical Journal of the American Society of Nephrology

111

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Background and objectives: Health-related quality of life (HRQOL) predicts mortality in ESRD, yet adoption of HRQOL monitoring is not widespread, and regulatory authorities remain predominantly concerned with monitoring traditional biologic parameters. To assist with future efforts to adopt HRQOL monitoring while acknowledging the importance of biomarkers, this study sought to establish which domains of HRQOL are most affected by ESRD and to measure the strength of evidence linking common biomarkers to HRQOL in ESRD.Design, setting, participants, & measurements: A systematic review was performed to identify studies that measured HRQOL in ESRD. Data were abstracted according to a conceptual model regarding the measurement of HRQOL differences, and HRQOL data were converted to weighted mean effect sizes and correlation coefficients.Results: The impact of ESRD was largest in the Short Form 36 domains of physical functioning (e.g., role-physical, vitality) and smallest in mental functioning (e.g., mental health, role-emotional). Dialysis adequacy, as measured by Kt/V, was a poor correlate for Short Form 36 scores. Similarly, mineral metabolism (e.g., calcium ؋ phosphorous, parathyroid hormone) and inflammatory (e.g., C-reactive protein, TNF) biomarkers had small effect sizes and correlations with HRQOL. In contrast, hematocrit demonstrated small to moderate relationships with mental and physical HRQOL, and nutritional biomarkers (e.g., albumin, creatinine, body mass index) demonstrated moderate to large relationships.Conclusions: HRQOL in ESRD is most affected in the physical domains, and nutritional biomarkers are most closely associated with these domains. In contrast, Kt/V, mineral metabolism indices, and inflammatory markers are poor HRQOL correlates.

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Medical outcomes study short form-36: a consistent and powerful predictor of morbidity and mortality in dialysis patients

Cited by 274 publications

References 16 publications

Quality of Life in Autosomal Dominant Polycystic Kidney Disease Patients not yet on Dialysis

Quality of Life in Autosomal Dominant Polycystic Kidney Disease Patients not yet on Dialysis

Chronic Kidney Disease Mineral Bone Disorder and Health-Related Quality of Life Among Incident End-Stage Renal-Disease Patients

Biomarkers and Health-Related Quality of Life in End-Stage Renal Disease

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