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CLINICAL STUDY |
1 Department of Epidemiology and Healthcare Research, Kyoto University School of Public Health, Yoshida Konoe-cho, Sakyo-ku, Kyoto 606-8501, Japan, 2 Eli Lilly Japan K.K., Kobe 651-0086, Japan and 3 Department of Clinical Molecular Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan
(Correspondence should be addressed to H Urushihara; Email: h.uru{at}st.pbh.med.kyoto-u.ac.jp)
| Abstract |
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Design and methods: QoL was determined using the Short Form (SF)-36 in Japanese adults with adult-(AO; n = 27) or childhood- (CO; n = 37) onset GHD in a 24-week double-blind placebo-controlled study with a fixed GH dose, and a subsequent 48-week open-label extension study with GH doses individualized using serum IGF-I levels.
Results: Baseline QoL was significantly decreased from the Japanese national reference in both onset types, more so in AO patients. Throughout the study, AO patients showed a trend for an increase in physical functioning and general health (P = 0.0564 and 0.0999 respectively), whereas CO patients showed no changes in these domains. Fat mass changes negatively correlated with the changes in physical functioning and general health in AO patients (r = 0.42 and 0.64 respectively), but to a lesser degree in CO patients (r = 0.36 and 0.32 respectively). CO patients displayed significant decreases in social functioning (P = 0.0305) and mental health (P = 0.0442) and a decreasing trend in bodily pain (P = 0.0769), although no correlation between these decreases and any measured clinical index was observed, except between changes in bodily pain and IGF-I levels (r = 0.43).
Conclusions: QoL impairment was evident in Japanese adults with GHD, particularly in AO patients. In AO patients, general health and physical functioning domains were responsive to fat mass changes during GH treatment; this association was not evident in CO patients. These relationships between QoL and body composition warrant verification.
| Introduction |
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In quantifying QoL in adult patients with GHD, generic questionnaires such as the Short Form (SF)-36 have been frequently criticized for a purported lack of sensitivity to the specific concerns to individuals with GHD; for this reason, the disease-specific questionnaires have been developed. Responsiveness, or sensitivity to change, is an important aspect of outcome measures such as QoL. There are two major aspects of responsiveness: one is internal responsiveness, the ability of the instrument to detect treatment-induced changes over time, and the other is external responsiveness, which reflects the extent to which changes in a measure over a specified time frame relate to corresponding changes in a reference measure of health status (7). When a certain change in the reference is accepted as indicating a change in the patients condition, a corresponding change in the measure under investigation is regarded as clinically meaningful. A prerequisite for longitudinal assessment is to determine whether the changes in a QoL instrument accurately correspond to changes in a patients health status.
In previous reports on Japanese hypopituitary adults with GHD (8, 9), it was demonstrated that the effects of GH replacement on body composition were comparable to those seen in Caucasian patients. QoL before and after GH replacement was assessed with the SF-36 in these studies, whose results have not been reported thus far. In the present paper, we report the responsiveness of QoL under GH replacement in a Japanese adult GHD population, with emphasis on whether the changes in clinical indices relevant to GHD were reflected in observed changes in scores of the eight SF-36 subscales.
| Patients and methods |
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The 64 Japanese patients ranged from 18 to 63 years. Eligibility criteria included diagnosis of a peak GH value <3 µg/l during a standard stimulation test such as with insulin or arginine. Major exclusion criteria were active malignancy, diabetes mellitus, and uncontrolled hypertension. Adequate replacement for pituitary hormonal deficiencies other than GH was ensured for at least 3 months before enrolment and throughout both the studies. During the double-blind phase, 14 AO and 19 CO patients were treated for 24 weeks with a fixed dose regimen of recombinant human GH (Humatrope, Eli Lilly and Company), given as six or seven injections per week. Doses were started at 0.021 mg/kg per week, subsequently escalated to 0.042 and finally 0.084 mg/kg per week. The remaining 13 AO and 18 CO patients received equivalent volumes of placebo. Two AO patients in the GH course and two AO and one CO patient in the placebo course, discontinued treatment prior to completion of the double-blind study. During the open-label extension phase, 59 patients received GH, at final individualized doses ranging from 0.021 to 0.084 mg/kg per week (9), with 23 AO and 33 CO patients completing the extension study and three CO patients discontinuing before completion.
To measure perceived QoL, the Japanese SF-36v2 Health Survey (10) was administered at baseline, at completion of the double-blind study, and at completion of the open study. To obviate physician influence, the patient completed the questionnaire and returned it in a sealed envelope to hospital staff before interview with the attending physician. Body composition was determined at 24-week intervals throughout the studies by dual-energy X-ray absorptiometry (DXA), as previously described (8, 9). Blood sampling for measurement of serum IGF-I levels and other laboratory parameters was also performed at the scheduled visits, with the assays performed centrally (8, 9).
In the double-blind phase, all 37 CO patients from both treatment courses completed the questionnaires. Among AO patients, 13 of 14 patients in the GH group (92.9%) and 12 of 13 in the placebo group (92.3%) returned the questionnaires; 1 patient in the GH group was unable to fill in the questionnaire at discontinuation due to cerebral infarction, while a second in the placebo group was excluded from analysis due to protocol violation. Response rate to the questionnaire for the 23 AO and 36 CO patients in the open-label phase was 100%.
Two scoring methods were utilized to analyze SF-36 subscales, with higher scores indicating better health status in both. First, the sum of item scores for each SF-36 domain was transformed to a 0 (lowest value) to 100 (highest value) numerical scale (transformed scale). Second, these transformed SF-36 values were used to calculate norm-based scores (NBS), standardized for age- and gender-matched Japanese controls to a numerical mean of 50 and S.D. of 10 (10). Baseline QoL data are presented as NBS, which enables between subscale comparison of the degree of deviation from the norm. Changes during studies for the eight SF-36 dimensions are presented as changes in the 0100 transformed scale. For responsiveness analysis, the patients were pooled regardless of the treatment course in the double-blind study and changes in SF-36 dimensions were calculated using transformed values as the difference between the baseline value at the start of the double-blind study and the last value observed in the open-label phase.
Summary statistics are presented as mean ± S.D. unless otherwise specified, with 95% confidence intervals of the difference in means where appropriate. Baseline QoL scores were compared with the Japanese national mean of 50 using Students t-test. Pairwise comparisons, such as differences in QoL values, body composition, and other clinical parameters between two time points, were performed by the paired t-test. Correlations with QoL scores were evaluated with Pearsons r coefficient and presented if the absolute r coefficient exceeded 0.4, which indicates moderate correlation. Standardized response mean (SRM), defined as mean change divided by the S.D. of the change, was used for evaluation of internal responsiveness of the subscales (7). To assess external responsiveness, the relationship of changes in clinical variables of interest with changes in SF-36 domains was examined by univariate regression analysis (7). Multivariate analysis examined changes in SF-36 subscales relative to changes in the external standard variable and baseline parameters such as gender, age, onset, treatment course, and baseline score. This model for external responsiveness also included the by-onset interaction. All results were assessed at a two-tailed significance level of 5%, except for interaction, which was assessed at 15%. Statistical analysis was performed with SPSS for Windows (Ver. 13.0, SPSS Inc., Chicago, IL, USA).
| Results |
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Baseline characteristics of the 64 enrolled patients are summarized by GHD onset in Table 1
. Differences by onset were observed in age, age at diagnosis, and serum IGF-I level and its SD score. As shown in Fig. 1
, AO patients scored significantly lower than normal in five of the eight SF-36 domains, i.e., from the lowest, general health (P<0.001), role physical (P = 0.006), role emotional (P = 0.019), vitality (P = 0.008), and physical functioning (P = 0.046); in contrast, CO patients had significantly lower scores than the normal only in role physical as the lower and general health (P = 0.049 and 0.041 respectively).
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Double-blind phase
In AO patients, no differences in changes between GH and placebo-treated patients were seen in any of the SF-36 domains. In CO patients, a significant difference between GH and placebo treatment was seen for the mental health subscale only (P = 0.045); however, the within-group change in the GH group was not significant (GH 2.6 ± 12.4, P = 0.367; placebo 7.8 ± 17.7, P = 0.079). In the GH-treated AO patients, a significant reduction in the bodily pain subscale was seen from baseline to the end of the double-blind study (change 12.8 ± 20.6, P = 0.044), without a significant difference with the placebo group (P = 0.144).
Change throughout the studies
Change scores in the SF-36 subscales throughout the two successive studies are presented in Table 2
. In AO patients, the change from baseline to endpoint was not significant in any of the eight QoL domains, although increasing trends were observed in physical functioning and general health (P = 0.0564 and 0.0999 respectively). On the other hand, significant negative changes in social functioning (P = 0.0305) and mental health (P = 0.0442) were seen in CO patients, along with a trend to a decrease in bodily pain (P = 0.0769).
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SRM was calculated to evaluate internal responsiveness of the eight QoL domains in the SF-36. External responsiveness of these subscales was assessed with linear regression models using fat mass change as an independent variable. In AO patients, SRMs for physical functioning and general health subscales were greater than in other domains of the SF-36, and the SRM for physical functioning was close to 0.5, indicating moderate internal responsiveness. In univariate regression analysis, the fat mass change in AO patients accounted for a significant amount of variance, at up to 41.2% for general health changes (Table 3
). Other domains were not significantly responsive to change in fat mass. In CO patients, SRMs for physical functioning and general health were small, whereas external responsiveness to changes in fat mass was significant for physical functioning and marginal for general health. In contrast, bodily pain, social functioning, and mental health subscales showed greater SRMs in CO subjects but failed to be significantly responsive to fat mass change (Table 3
). Lean body mass was not an adequate clinical index of external responsiveness of QoL domains as its changes failed to correlate with any of the subscale changes in either onset (data not shown). Change in serum IGF-I SD score throughout the studies was correlated with the change in bodily pain domain, and accounted for a significant amount of variance in the changes in bodily pain (R2 = 0.187, P = 0.008) in CO, but not in AO patients (P = 0.962).
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To statistically investigate whether the effects of fat mass reduction on QoL change varied by onset, the by-onset interaction was examined with the multivariate models of physical functioning and general health using fat mass change as an independent variable (Table 4
). Interaction by onset was insignificant (P = 0.345) in the model of physical functioning, which included gender, age, treatment course, baseline score, and baseline fat mass as covariates. The by-onset interaction with the effect of fat mass change on general health was significant at a level of 0.15 after adjustment for the covariates (P = 0.102). The effects of age or treatment course were not significant in either model.
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| Discussion |
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The SF-36 questionnaire contains eight health-related domains, which allows the specific patterns of QoL deficit to be identified when a particular disease patient group is compared with a national normative reference. Our baseline data indicated that health-related QoL was affected in Japanese adult GHD patients, with apparent differences in the degree of QoL impairment between onsets after adjustment for age differences of onset. This finding is consistent with previous reports that QoL is more strongly affected in AO than CO patients (5, 11). In addition, our observation of impaired general health and physical functioning at baseline is consistent with previous findings in several cross-sectional studies using the SF-36 in Caucasian hypopituitary patients (12, 13).
The QoL impairment observed in our Japanese CO patients was mild, at least in part due to insufficient sensitivity of the SF-36, a generic QoL questionnaire. In Caucasian patients with CO GHD, inconsistencies have been noted between perceived QoL impairment and adverse clinical and laboratory findings. Despite various psychological and cognitive deficits, as well as an abnormal lipid profile and central adiposity, young patients with CO GHD who discontinue pediatric GH replacement exhibit only mild impairment of QoL when compared with GH-sufficient peers (14, 15). Our CO patients have also consistently shown findings adverse to those characteristic of adult GHD, such as abnormal body composition and lipid profile at baseline (8). These findings may suggest another possibility, namely CO patients have adapted to the chronic effects of GHD during development and do not perceive their QoL as impaired (5, 14, 16)
Responsiveness, defined as the ability to detect a change due to a treatment, is an important characteristic of a QoL instrument (17). In particular, external responsiveness assesses the extent to which a change in a QoL instrument relates to clinically significant changes in known external standard health measures. Two subscales of the SF-36 were significantly responsive to changes in fat mass, whereas no subscale was responsive to those in lean body mass. Fat mass is one of the most responsive external markers of the effects of GH in patients with GHD. Nevertheless, no relationship between changes in QoL and changes in fat mass, lean body mass, or IGF-I has been found in a variety of studies (11, 18, 19), except one which reported a significant correlation between body composition change as determined by bioelectrical impedance analysis and change in QoL score as measured with the disease-specific questionnaire, Quality of Life-Assessment of GHD in Adults (QoL-AGHDA) (20). Here, using DXA, we found significant associations between changes in general health and physical functioning subscales and fat mass change, with the trend being more consistent in AO than CO patients. Specifically, the by-onset interaction was significant in the model relating changes in general health to changes in fat mass, indicating a possible onset effect on external responsiveness to fat mass status. This differential responsiveness by onset type may be influenced by differences between AO and CO patients in the degree of baseline impairment in these domains. QoL improvements under GH replacement have in fact been reported to be more pronounced in patients with more severe impairment at baseline (21). In our multivariate model, although the change score for physical functioning was greater in patients with lower baseline scores, this was not the case for general health, for which baseline status did not influence changes despite considerable baseline differences between onsets. This finding suggests essential heterogeneity in responsiveness due to onset.
Increased fat mass, abdominal obesity, and poor body image are clinical features of GHD. Some studies have reported a significant association between baseline QoL score and body mass index (22, 23). In semi-structured interviews, adult patients with GHD report excess fat mass as a major reason for poor body image and thus body image has been included as a major item in GHD-specific questionnaires, such as AGHDA (24) and Questions on Life Satisfaction-Hypopituitarism (QLS-H) (25). The strong association of the general health subscale with fat mass status in our studies is consistent with these findings, although the possibility of chance correlation cannot be excluded. A similar relationship between obesity and QoL has been sought in several clinical contexts, including: a cross-sectional study in a normal Dutch population, which found associations between higher body mass index and lower general health in women and between larger weight circumference and lower physical functioning of the SF-36 (26); a study in healthy Dutch postmenopausal women which reported that fat mass was negatively associated with QLS-health subscale whereas lean body mass was not (27); and studies on the effects of surgery for severe obesity (28).
Significant negative changes were seen in social functioning and mental health subscales in CO patients without external responsiveness to changes in any GH-related parameter. However, it is possible that the expected positive effects of GH replacement on psychosocial functioning (29, 30) could not be detected due to changes in QoL unrelated to GHD and its treatment. A second possibility is that none of the SF-36 subscales recorded specific GH-dependent impairment and treatment changes in subjective QoL in CO patients, suggesting a lack of responsiveness. The SF-36 is not designed to address issues specific to GHD adults, such as sexual functioning, cognitive functioning, and sleep disorders (31), and therefore seems to have limited sensitivity to changes in QoL in adults with GHD. In this regard, no disease-oriented QoL questionnaire has yet been validated in Japan.
No significant differences between GH and placebo treatment were seen in changes in any subscale, except for the mental health domain in CO patients during the double-blind phase. The double-blind study was originally powered to detect between-treatment differences in lean body mass, and was therefore underpowered for assessing the effects of GH on QoL. During the double-blind phase, serum IGF-I levels were elevated above the upper limit of the reference range in eight of the fourteen AO patients of the GH group, and nine AO patients experienced oedema and/or painful events such as arthralgia and muscle pain (8). These events may have been caused by the relatively high GH dose and supraphysiological IGF-I levels due to the fixed dose regimen, and have had a particularly adverse effect on QoL in AO patients. The results of our first double-blind study therefore appear to be inconclusive with regard to physiological GH replacement. Throughout the study, a negative correlation between bodily pain score change and IGF-I change was seen in CO patients, also indicating the possible impact of IGF-I related adverse events on this domain. At the end of the open study, individualized doses and treatment effects had stabilized, and mean IGF-I levels were within the normal range in both onset groups. For analyses of evaluating responsiveness, we calculated change scores in QoL subscales throughout both phases from all patients, pooled regardless of treatment group in the double-blind phase, yielding greater power to detect changes within each onset group. Consequently, the analyses performed were identical to those for an open-label study without control and the results should be accordingly interpreted with caution for potential bias.
Controversy has existed over whether GHD per se affects QoL in hypopituitary adults and whether GH can reverse it. Several subscale scores were reduced at baseline in our study population, which could be specifically ascribed to GHD but also possibly to confounding factors, including other hormonal deficits and their inadequate replacement, and the underlying causes of hypopituitarism, such as tumors and their invasive treatments. External responsiveness alone gives little information to indicate the effects of treatment (7); nevertheless, changes in a QoL instrument responsive to changes in a valid external clinical index would indicate efficacy of the treatment on QoL, providing the changes in the disease condition seen with treatment are directly related to changes in the external parameter. Given that excess fat and visceral adiposity are the major symptoms of adult GHD, are improved by GH replacement, and contribute to poor body image leading to reduced self-estimation, one may postulate a causal relationship between GH replacement and the improvement of poor subjective QoL; this assumption would need to be confirmed in further clinical studies.
In conclusion, we have demonstrated that Japanese hypopituitary adults with GHD displayed onset differences in the degree of QoL impairment at baseline, similar to Caucasian patients, and that the positive changes in physical functioning and general health domains were significantly correlated with fat mass reduction under GH replacement. The effect of fat mass reduction on these subscales was greater in AO than CO patients, indicating heterogeneity between onset types in the external responsiveness of the QoL subscales to body composition. Given that excess fat mass is an established clinical index of GHD, these subscales appear to be valid measures of the perceived QoL changes associated with changes in clinical condition in adults with AO GHD. Nonetheless, our observations are based on a limited number of patients and the data must be considered preliminary. Development of a disease-specific questionnaire for Japanese adults with GHD will enable further research for verification and individualized disease management.
| Acknowledgements |
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| References |
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