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Comparative Study
. 2010 Feb;5(2):252-60.
doi: 10.2215/CJN.07231009. Epub 2009 Dec 17.

A comparison of SF-36 and SF-12 composite scores and subsequent hospitalization and mortality risks in long-term dialysis patients

Eduardo Lacson Jr  1 , Jianglin Xu, Shu-Fang Lin, Sandie Guerra Dean, J Michael Lazarus, Raymond M Hakim
Affiliations
Comparative Study

A comparison of SF-36 and SF-12 composite scores and subsequent hospitalization and mortality risks in long-term dialysis patients

Eduardo Lacson Jr et al. Clin J Am Soc Nephrol. 2010 Feb.

Abstract

Background and objectives: The Short Form 12 (SF-12) has not been validated for long-term dialysis patients. The study compared physical and mental component summary (PCS/MCS) scores from the SF-36 with those from the embedded SF-12 in a national cohort of dialysis patients.

Design, setting, participants, & measurements: All 44,395 patients who had scorable SF-36 and SF-12 from January 1, 2006, to December 31, 2006, and were treated at Fresenius Medical Care, North America facilities were included. Death and first hospitalization were followed for up to 1 year from the date of survey. Correlation and agreement were obtained between PCS-36 and PCS-12 and MCS-36 and MCS-12; then Cox models were constructed to compare associated hazard ratios (HRs) between them.

Results: Physical and mental dimensions both exhibited excellent intraclass correlation coefficients of 0.94. Each incremental point for both PCS-12 and PCS-36 was associated with a 2.4% lower adjusted HR of death and 0.4% decline in HR for first hospitalization (both P < 0.0001). Corresponding improvement in HR of death for each MCS point was 1.2% for MCS-12 and 1.3% for MCS-36, whereas both had similar 0.6% lower HR for hospitalization per point (all P < 0.0001).

Conclusions: The use of the SF-12 alone or as part of a larger survey is valid in dialysis patients. Composite scores from the SF-12 and SF-36 have similar prognostic association with death and hospitalization risk. Prospective longitudinal studies of SF-12 surveys that consider responsiveness to specific clinical, situational, and interventional changes are needed in this population.

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Figures

Figure 1.
Figure 1.
Frequency distribution curves showing overlap of responder's survey scores for (A) PCS-36 with PCS-12 and (B) MCS-36 with MCS-12.
Figure 2.
Figure 2.
Scatter plots showing the linear correlation (r) between PCS-36 with PCS-12 (A) and MCS-36 with MCS-12 (B).
Figure 3.
Figure 3.
Risk profile from Cox proportional hazard models for time to death using PCS-36 (A), PCS-12 (B), MCS-36 (C), and MCS-12 (D).
Figure 4.
Figure 4.
Risk profile from Cox proportional hazard models for time to first hospitalization using PCS-36 (A), PCS-12 (B), MCS-36 (C), and MCS-12 (D).
See this image and copyright information in PMC

References

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