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Verteporfin photodynamic therapy for neovascular age-related ...

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DOI: 10.3310/hta16060Health Technology Assessment 2012; Vol. 16: No. 657TABLE 15 Relationships between visual function and SF-6D/SF-36HRQoLscoreHRQoLscaleLinear regression coefficient(95% CI)Quadratic regressioncoefficient (95% CI)HRQoL change per 100HRQoL change per fiveline) a range) aletters (≡ one chart letters (i.e. whole chartBCVASF-6D 0–1 0.0012 (0.0009 to 0.0014) – 0.0058 0.116SF-36 PCS b Mean = 50 0.049 (0.025 to 0.073) – 0.245 4.906SF-36 MCS b Mean = 50 0.109 (0.078 to 0.140) – 0.546 10.920HRQoL change perthree letters (i.e. onecontrast sensitivitytriad) a,c HRQoL change per 48letters (i.e. whole chartrange) aCSSF-6D 0–1 –0.0016 (–0.0041 to 0.0009) 0.0001 (0.00003 to 0.014 ~0.140.00015)SF-36 PCS Mean = 50 –0.269 (–0.476 to –0.062) 0.008 (0.003 to 0.013) 0.792 ~7.7SF-36 MCS Mean = 50 –0.120 (–0.382 to 0.143) 0.008 (0.002 to 0.016) 1.155 ~12.1a Estimated HRQoL change assumes the change in BCVA CS occurs in the better-seeing eye.b PCS and MCS: scored on a scale with a mean of 50 and an SD of 10. PCS and MCS are also normalised, i.e. 50 represents the mean <strong>for</strong> thereference (i.e. ‘normal’) population.c Change in HRQoL estimated <strong>for</strong> a three-letter contrast sensitivity triad from 35 to 32 letters <strong>for</strong> relationships.Contrast sensitivity in the better-seeing eye predicted SF-6D, PCS and MCS (p < 0.01 <strong>for</strong> all threeHRQoL measures) but less strongly. The relationship between CS and the SF-6D utility scoreis shown in Figure 14, with the fitted regression superimposed. For all HRQoL measures, thebest-fitting models were positive and quadratic, with the fitted values tending to an asymptotewhen < 15 letters could be read (see Figure 14). As with BCVA, no evidence was found to supportthe prior hypothesis of a sigmoid relationship. Predicted changes in SF-6D, PCS and MCS <strong>for</strong>three-letter (one ‘triad’) and 48-letter reductions in BCVA are shown in Table 15. The latterpredicted changes are described as approximate because the quadratic models sometimes causedfitted values to increase slightly when very few letters were read. The predicted changes reportedare the fitted value <strong>for</strong> 48 letters minus the minimum fitted value.For predominantly classic nAMD lesions, VPDT was observed to confer a net benefit of 11ETDRS and 5 CS letters after 1 year. 4,30 Based on the best-fitting model <strong>for</strong> SF-6D, these visualfunction benefits ‘translate’ into utility differences of 0.013 and 0.022 respectively (on a scale of0–1). In the VPDT cohort study, the net BCVA benefit compared with the TAP sham VPDTgroup was slightly smaller, at about nine letters (see Figure 7); this BCVA benefit ‘translates’ into autility difference of about 0.011.For minimally classic nAMD lesions, VPDT was observed to confer a net benefit of four ETDRSletters after 1 year. 4,30 Based on the best-fitting model <strong>for</strong> SF-6D, these visual function benefits‘translate’ into a utility difference of 0.005. The net BCVA benefit observed in the study, of aboutfive letters (see Figure 8), ‘translates’ into a utility difference of about 0.006.Vision-specific health-<strong>related</strong> quality of lifeIn the better-seeing eye, BCVA also strongly predicted the composite total NEIVFQ score, andthe distance and near activity subscales (p < 0.0001 <strong>for</strong> all three NEIVFQ scores). The relationshipbetween BCVA in the better-seeing eye and NEIVFQ composite total score is shown in Figure 15;© Queen’s Printer and Controller of HMSO 2012. This work was produced by Reeves et al. under the terms of a commissioning contract issued by theSecretary of State <strong>for</strong> Health.

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