Validation of the SF-36 in patients with endometriosis.

OBJECTIVES: Endometriosis presents with significant pain as the most common symptom. Generic health measures can allow comparisons across diseases or populations. However, the Medical Outcomes Study Short Form 36 (SF-36) has not been validated for this disease. The goal of this study was to validate the SF-36 (version 2) for endometriosis. METHODS: Using data from two clinical trials (N = 252 and 198) of treatment for endometriosis, a full complement of psychometric analyses was performed. Additional instruments included a pain visual analog scale (VAS); a physician-completed questionnaire based on patient interview (modified Biberoglu and Behrman--B&B); clinical global impression of change (CGI-C); and patient satisfaction with treatment. RESULTS: Bodily pain (BP) and the Physical Component Summary Score (PCS) were correlated with the pain VAS at baseline and over time and the B&B at baseline and end of study. In addition, those who had the greatest change in BP and PCS also reported the greatest change on CGI-C and patient satisfaction with treatment. Other subscales showed smaller, but significant, correlations with change in the pain VAS, CGI-C, and patient satisfaction with treatment. CONCLUSIONS: The SF-36--particularly BP and the PCS--appears to be a valid and responsive measure for endometriosis and its treatment.

The Tardive Dyskinesia Impact Scale (TDIS), a novel patient-reported outcome measure in tardive dyskinesia: development and psychometric validation.

BACKGROUND: Tardive dyskinesia (TD), a movement disorder in which patients experience abnormal involuntary movements, can have profound negative impacts on physical, cognitive, and psychosocial functioning. The Abnormal Involuntary Movement Scale (AIMS), a clinician-rated outcome, is considered the gold standard for evaluating treatment efficacy in TD clinical trials. However, it provides little information about the impacts of uncontrolled movements from a patient perspective and can be cumbersome to administer in clinical settings. The Tardive Dyskinesia Impact Scale (TDIS) was developed as a patient-reported outcome measure to fulfill the need for a disease-specific impact assessment in TD. The objective of the present study was to develop and evaluate the psychometric properties of the TDIS to determine whether it is fit-for-purpose to measure TD impact. METHODS: Data from qualitative studies and phase 3 trials of a VMAT2 inhibitor for the treatment of TD (KINECT3 and KINECT4) were used to determine the psychometric properties of the TDIS. Qualitative research included concept elicitation and cognitive debriefing interviews with TD patients and their caregivers in order to assess how well the TDIS captured key domains of TD impact. Quantitative analyses to examine the psychometric properties of the TDIS included assessing construct validity (factor structure, known groups, and predictive validity) and responsiveness to change. RESULTS: Qualitative results showed that the TDIS captures the key TD impacts reported by patients and caregivers and that the TDIS was interpreted as intended and relevant to patients' experiences. Quantitative results found evidence of 2 underlying domains of the TDIS: physical and socioemotional (Comparative Fit Index > 0.9). Known groups and predictive validity indicated that, compared with the AIMS, the TDIS captures unique content (correlation between AIMS and TDIS = 0.2-0.28). The TDIS showed responsiveness to change in treatment, with TDIS scores improving over 48 weeks in the 2 phase 3 trials. CONCLUSIONS: The TDIS captures relevant information about the impact of TD and is easily administered in a clinician's office or patient's home. It may be used longitudinally to show changes in TD burden over time. The TDIS complements the AIMS; using these assessments together provides a more holistic assessment of TD.

Tardive dyskinesia is a condition where people have uncontrollable movements because of taking certain medications for a long time. It is still poorly understood how these uncontrollable movements affect a person's everyday activities. We created a questionnaire called the Tardive Dyskinesia Impact Scale (TDIS). The TDIS is a questionnaire where people with tardive dyskinesia rate how their symptoms affect daily activities such as speaking and walking. People can also rate how the uncontrollable movements make them feel. We used specific tests called psychometric tests to see if the TDIS measures the correct information and if the information is reliable. Findings from this study show that the TDIS is a good way to measure how a person's uncontrollable movements affect everyday activities. The results also show that when people take medicine to help with their symptoms, their TDIS scores are better. When patients stopped taking the medicine, their symptoms were worse, and their TDIS score was worse. The TDIS can help people explain how their uncontrollable movements affect their daily life. This can then help their doctors understand the person's condition better.

Identifying differential responders and their characteristics in clinical trials: innovative methods for analyzing longitudinal data.

OBJECTIVES: To present a step-by-step example of the examination of heterogeneity within clinical trial data by using a growth mixture modeling (GMM) approach. METHODS: Secondary data from a longitudinal double-blind clinical drug study were used. Patients received enalapril or placebo and were followed for 2 years during the drug component, followed by a 3-year postdrug component. Primary variables of interest were creatinine levels during the drug component and number of hospitalizations in the postdrug component. Latent growth modeling (LGM) methods were used to examine the treatment response variability in the data. GMM methods were applied where substantial variability was found to identify latent (unobserved) subsets of differential responders, using treatment groups as known classes. Post hoc analyses were applied to characterize emergent subgroups. RESULTS: LGM methods demonstrated a large variability in creatinine levels. GMM methods identified two subsets of patients for each treatment group. Placebo class 2 (7.0% of the total sample) and enalapril class 2 (8.5%) include individuals whose creatinine levels start at 1.114 mg/dl and 1.108 mg/dl, respectively, and show worsening (slopes: 0.023 and 0.017, respectively). Placebo class 1 (43.1%) and enalapril class 1 (41.4%) individuals start with lower creatinine levels (1.082 and 1.083 mg/dl, respectively) and show very minimal change (0.008 and 0.003, respectively). Post hoc analyses revealed significant differences between placebo/enalapril class 1 and placebo/enalapril class 2 in terms of New York Heart Association functional ability, depression, functional impairment, creatinine levels, mortality, and hospitalizations. CONCLUSIONS: GMM methods can identify subsets of differential responders in clinical trial data. This can result in a more accurate understanding of treatment effects.

The Hunter syndrome-functional outcomes for clinical understanding scale (HS-FOCUS) questionnaire: evaluation of measurement properties.

PURPOSE: This study was to conduct the psychometric validation of the patient and parent versions of the Hunter syndrome-functional outcomes for clinical understanding scale (HS-FOCUS). METHODS: Data collected in a 53-week placebo-controlled multinational trial were used to evaluate item performance and reliability, validity, and ability to detect change of the six HS-FOCUS function domains. RESULTS: HS-FOCUS was completed by 49 patients above 12 years old and 84 parents. Floor effects and high average inter-item correlations suggested that some items were less informative or redundant. For both patients and parents, the internal consistency and test-retest reliability met the >0.70 criteria for all domains except for the breathing, sleeping, and schooling/work in patients. Construct validity showed moderate to high correlations with CHAQ, CHQ, and HUI3 in activity-related concepts. Significant differences in domain scores were found in most domains among severity in disability measured by CHAQ DIS. Significant differences in HS-FOCUS change scores were found in patients whose CHAQ DIS score also changed. CONCLUSIONS: Psychometric validation of the HS-FOCUS demonstrates it is a reliable, valid, and responsive instrument that can be applied in clinical trials or disease registries. Findings on the individual item performance suggest some items could be removed without compromising its validity.

EQ-5D™-derived utility values for different levels of migraine severity from a UK sample of migraineurs.

BACKGROUND: To estimate utility values for different levels of migraine pain severity from a United Kingdom (UK) sample of migraineurs. METHODS: One hundred and six migraineurs completed the EQ-5D to evaluate their health status for mild, moderate and severe levels of migraine pain severity for a recent migraine attack, and for current health defined as health status within seven days post-migraine attack. Statistical tests were used to evaluate differences in mean utility scores by migraine severity. RESULTS: Utility scores for each health state were significantly different from 1.0 (no problems on any EQ-5D dimension) (p < 0.0001) and one another (p < 0.0001). The lowest mean utility, - 0.20 (95% confidence interval [CI]: -0.27 - -0.13), was for severe migraine pain. The smallest difference in mean utility was between mild and moderate migraine pain (0.13) and the largest difference in mean utility was between current health (without migraine) and severe migraine pain (1.07). CONCLUSIONS: Results indicate that all levels of migraine pain are associated with significantly reduced utility values. As severity worsened, utility decreased and severe migraine pain was considered a health state worse than death. Results can be used in cost-utility models examining the relative economic value of therapeutic strategies for migraine in the UK.

Measuring patient experiences in Fabry disease: validation of the Fabry-specific Pediatric Health and Pain Questionnaire (FPHPQ).

INTRODUCTION: Common symptoms for children with Anderson-Fabry Disease (FD) such as acroparaesthesia and gastrointestinal manifestations can only be objectively assessed in patients using a valid instrument. To date, no such instrument exists. METHODS: A preliminary 40-item measure of symptoms and experience with FD, the Fabry-specific Paediatric Health and Pain Questionnaire (FPHPQ) was developed, but lacked a formal assessment of its measurement properties. The FPHPQ was used in the Fabry Outcome Survey (FOS), a registry for all patients with a confirmed diagnosis of FD who are receiving agalsidase alfa, or are treatment naïve and who are managed by physicians participating in FOS. After an item analysis to explore how items performed and combined into domains, a battery of psychometric analyses was performed to assess the measurement properties of this new instrument. RESULTS: Eighty-seven children (ages 4-18 years) completed the questionnaire. Twenty-three items in three subscales of the questionnaire emerged: pain associated with heat or exertion, pain associated with cold, and abdominal pain and fatigue symptoms. Internal consistency reliability for all three subscales was good (Cronbach alpha ≥ 0.84). Reliability was equally high for all age groups (4-7, 8-12, and 13-18). Test-retest reliability was high for all three subscales (intraclass correlation coefficient ≥ 0.74). Construct validity was demonstrated by moderate correlation with brief pain inventory (BPI), KINDL, and EQ-5D. Known group validity showed all subscales were able to discriminate between Fabry disease severity groups as classified by above or below median of the FOS MSSI (Mainz Severity Score Index) grade. The heat or exertion subscale was responsive to change in symptoms between responders and non-responders as defined by change in EQ-5D index scores between the first and second visit. CONCLUSIONS: Preliminary results indicate that the measurement properties of FPHPQ are valid and reliable for assessing patient-reported symptoms of FD. The questionnaire could be a useful tool for clinicians to understand the progression of disease and monitor treatment effects. FPHPQ will be further validated and refined as the FOS registry is continuously adding more patients.

Development of a frequent heartburn index.

PURPOSE: The aim of this study is to develop and validate a brief instrument for the measurement of overall psychosocial impact of frequent heartburn (heartburn experienced 2+ times weekly) in the general U.S. population, yielding a single, composite score. METHODS: Item reduction and psychometric analyses of an existing Frequent Heartburn (FHB) Survey, a 52-item, 13-domain, patient-reported outcomes (PRO) survey assessing the impact of frequent heartburn on psychosocial quality of life. RESULTS: Item reduction resulted in 9 items from the original FHB Survey measuring all domains. All retained items in this full Frequent Heartburn Index (FHBI-Full) had moderate to strong factor loadings on the underlying factor (range: 0.66-0.85) and acceptable overall model fit (CFI = 0.93, SRMR = 0.04). Coefficient alpha was 0.92. A shorter FHBI (FHBI-Brief) was created that excludes the two employment-related items. The FHBI-Brief had a coefficient alpha of 0.90. CONCLUSIONS: Both FHBI versions have good psychometric properties and capture a full range of psychosocial effects of frequent heartburn. Normed national scores for the FHBI are available against which an individual can compare their own FHBI score. The FHBI-Full and FHBI-Brief show promise as PRO instruments that may help individuals and clinicians better understand the effect of frequent heartburn on psychosocial functioning.

Development, psychometric evaluation, and initial feasibility assessment of a symptom tracker for use by patients with heart failure (HFaST).

BACKGROUND: This study aimed to develop and provide a psychometric and feasibility pilot evaluation of the Heart Failure (HF) Symptom Tracker (HFaST), a new patient-reported tool designed to facilitate communication between patients and health care providers (HCPs) in routine clinical care. The HFaST enables patients to identify worsening HF symptoms, with a long-term goal of preventing hospitalizations or emergency room visits. METHODS: The HFaST was developed drawing on evidence from the literature, qualitatively with cognitive interviews (12 patient/caregiver and 8 HCPs), and evaluated quantitatively (psychometric, feasibility assessment). The HFaST was administered for 7 consecutive days to 100 individuals diagnosed with HF during a multisite, non-interventional US pilot study. Health care providers then completed a survey assessing the feasibility and importance of the HFaST in clinical practice. Qualitative development included a literature review and cognitive interviews with patients, caregivers, and HCPs. The psychometric properties of the HFaST were evaluated using classical test theory methods. Descriptive statistics provided insight into HCPs' perceptions of the feasibility of using the HFaST in clinical practice. RESULTS: A preliminary set of 40 items was developed for the symptom tracker and iteratively reduced to 10 items based on the qualitative phase. Test-retest reliability (weighted kappa 0.71-0.97), discriminating validity, and construct validity of the HFaST were acceptable. HCPs rated the HFaST as a good (70%) or excellent (30%) means of tracking HF symptoms. Six HFaST items were ultimately retained, covering concepts of fatigue, shortness of breath (3 items), swelling, and rapid weight gain. CONCLUSIONS: The 6-item HFaST is an easy-to-use tool designed to raise patients' awareness of HF symptoms and facilitate communication with HCPs. Future research should evaluate HFaST implementation in clinical practice and effectiveness as an intervention to potentially prevent hospitalizations and emergency room visits.

Long-term health-related quality-of-life and symptom response profiles with arformoterol in COPD: results from a 52-week trial.

Background: Symptom severity is the largest factor in determining subjective health in COPD. Symptoms (eg, chronic cough, dyspnea) are associated with decreased health-related quality of life (HRQoL). We evaluated the impact of arformoterol on HRQoL in COPD patients, measured by St George's Respiratory Questionnaire (SGRQ). Post hoc growth mixture model (GMM) analysis examined symptom response profiles. Methods: We examined data from a randomized, double-blind, parallel-group, 12-month safety trial of twice-daily nebulized arformoterol 15 µg (n=420) versus placebo (n=421). COPD severity was assessed by Global Initiative for Chronic Obstructive Lung Disease (GOLD) status. GMM analysis identified previously unknown patient subgroups and examined the heterogeneity in response to SGRQ Symptoms scores. Results: SGRQ Total score improved by 4.24 points with arformoterol and 2.02 points with placebo (P=0.006). Significantly greater improvements occurred for arformoterol versus placebo in SGRQ Symptoms (6.34 vs 4.25, P=0.031) and Impacts (3.91 vs 0.97, P=0.001) scores, but not in Activity score (3.57 vs 1.75, P=0.057). GMM identified responders and nonresponders based on the SGRQ Symptoms score. End-of-study mean difference in SGRQ Symptoms scores between these latent classes was 20.7 points (P<0.001; 95% confidence interval: 17.6-23.9). Compared with nonresponders, responders were more likely current smokers (55.52% vs 44.02%, P=0.0021) and had more severe COPD (forced expiratory volume in 1 second [FEV1]: 1.16 vs 1.23 L, P=0.0419), more exacerbations (0.96 vs 0.69, P=0.0018), and worse mean SGRQ Total (59.81 vs 40.57, P<0.0001), Clinical COPD Questionnaire (3.29 vs 2.05, P<0.0001), and Modified Medical Research Council Dyspnea Scale (3.13 vs 2.75, P<0.0001) scores. Arformoterol-receiving responders exhibited significantly greater improvements in FEV1 (0.09 vs 0.008, P=0.03) and fewer hospitalizations (0.13 vs 0.24, P=0.02) than those receiving placebo. Conclusion: In this study, arformoterol treatment significantly improved HRQoL reflected by SGRQ. For the analysis performed on these data, arformoterol may be particularly effective in improving lung function and reducing hospitalizations among patients who are unable to quit smoking or present with more severe symptoms.

Development and validation of the Congestion Quantifier seven-item test (CQ7): a screening tool for nasal congestion.

OBJECTIVE: This study aimed to develop and validate a short, simple, patient-completed instrument for identifying patients with congestion in a 15-day study. Allergic rhinitis (AR) is the most common allergic condition worldwide, with congestion as one of the most salient symptoms. Nevertheless, there is no short screening tool designed specifically to identify congestion that can help patients make decisions about seeking treatment. METHODS: Patients (N = 354) received a clinical exam to confirm congestion and assess its possible causes including confirmation of AR. They completed the 13-item draft of the Congestion Quantifier (CQ) and five additional patient-reported outcome instruments. RESULTS: The 13-item draft CQ was reduced to a seven-item version, the CQ7. Internal consistency reliability was 0.93; test-retest reliability = 0.85. Construct validity was demonstrated by significant correlations with the Medical Outcomes Study Sleep Scale, the Work Productivity and Activity Impairment Questionnaire-Allergy Specific, and the Positive Affect and Negative Affect Scale Fatigue subscale (r = 0.23-0.67). The CQ7 can discriminate between controls and patients (AUC > 0.9). Moreover, it can discriminate between different levels of severity of symptoms of AR. A score of 7 provided optimum balance of sensitivity (91%), specificity (86%), and correct classification (90%) for detecting congestion. CONCLUSION: The CQ7 is reliable, valid, and responsive to differences in severity of nasal congestion. The CQ7 can identify patients with congestion that may need to be evaluated by a clinician.

Assessing Changes in Chronic Spontaneous/Idiopathic Urticaria: Comparisons of Patient-Reported Outcomes Using Latent Growth Modeling.

INTRODUCTION: Assessing the consequences of chronic spontaneous/idiopathic urticaria (CSU) requires the evaluation of health-related quality of life (HRQoL) associated with the severity of CSU signs and symptoms. It is important to understand how signs, symptoms, and HRQoL change over time in CSU. Evidence is lacking on how closely changes in signs and symptoms of CSU are related to changes in HRQoL. The objective of this study was to assess the correlation between changes in patient-reported outcome measures (PROMs) of signs and symptoms, dermatologic quality of life (QoL), and urticaria-specific QoL. METHODS: Latent growth models (LGMs) were applied to longitudinal data from three randomized, Phase 3 clinical trials investigating the efficacy and safety of omalizumab in CSU. RESULTS: A near-perfect association between changes in signs and symptoms and changes in dermatologic and urticaria-specific QoLs was identified in each clinical trial when using LGMs (correlation coefficient range 0.88-0.92). CONCLUSION: Evidence showed that changes in signs and symptoms are closely related to changes in HRQoL. However, analyses were performed on clinical trial results of an extremely effective treatment; a less effective treatment with much smaller changes over time may not show such close correlations. Results suggest that any of these PROMs may be used to understand changes in CSU.

EQ-5D Utilities in Chronic Spontaneous/Idiopathic Urticaria.

OBJECTIVES: To obtain utility estimates suitable for use in economic models for chronic spontaneous (idiopathic) urticaria (CSU). METHODS: Patient-level data from three randomized clinical trials-ASTERIA I, ASTERIA II and GLACIAL-were analysed. Health states were derived from the Urticaria Activity Score over 7 days (UAS7); higher scores denote greater activity. The health state score ranges were urticaria free: 0; well-controlled urticaria: 1-6; mild urticaria: 7-15; moderate urticaria: 16-27; and severe urticaria: 28-42. The mean EQ-5D utilities were calculated for each health state. A mixed model was used to predict the EQ-5D according to UAS7 health states in a pooled data set containing all treatment arms and time points from the three trials. Pooled trial data were validated through visual comparisons and interaction terms. Fixed and random effects for trials and patients were included, along with the following covariates: UAS7 health state at baseline (moderate or severe); presence of angioedema at baseline and during follow-up; duration of CSU; number of previous CSU medications; visit; current treatment; and patient age and sex. RESULTS: There was a consistent improvement in EQ-5D utilities as urticaria activity decreased. The mean utilities ranged from 0.710 (severe urticaria) to 0.780 (moderate urticaria), 0.829 (mild urticaria), 0.862 (well-controlled urticaria) and 0.894 (urticaria free). Sensitivity and subgroup analyses confirmed the robustness of the results. CONCLUSION: The results suggest that EQ-5D utility scores increase with decreasing urticaria activity. EQ-5D utility scores enable the health-related quality of life of CSU patients to be compared with that of patients with other diseases.

Longitudinal analysis of the reciprocal effects of self-assessed global health and depressive symptoms.

This study examined whether a reciprocal relationship exists between measures of self-assessed global health and depressive symptoms, net of covariates that included chronic illness, functional disability, education, income, gender, race, and age. Analyses of five waves of data from the Rand version of the Health and Retirement Survey (N=7,475), using an autoregressive, cross-lagged panel design, indicated that self-assessed overall health had a modest but statistically significant and consistent effect on depressive symptoms. In contrast, the level of depressive symptoms had a statistically nonsignificant effect on self-assessed health. There has been growing interest in identifying the factors that inform self-assessments of overall health. The present findings indicate that self-assessed global health is not simply a manifestation of depressed affect.

Impact of estradiol valerate/dienogest on work productivity and activities of daily living in women with heavy menstrual bleeding.

OBJECTIVES: To quantify the change in work productivity and activities of daily living in North American women with heavy menstrual bleeding (HMB) treated with estradiol valerate/dienogest (E2V/DNG; Qlaira(®)/Natazia(®)) compared to placebo. METHODS: Women in the United States and Canada, aged 20-53 years with an objective diagnosis of HMB and no recognizable anatomical pathology, were treated with E2V/DNG or placebo for seven cycles (196 days). Main outcome measures included work productivity (i.e., productivity while at work) and activities of daily living measured using a modified Work Productivity and Activity Impairment Questionnaire (mWPAI) on a Likert scale from 0 to 10 (higher values denote higher impairment levels). RESULTS: In both countries, significant improvement was observed between baseline and end of treatment in work productivity and activities of daily living impairment. The improvements in work productivity and activities of daily living with E2V/DNG treatment relative to placebo ranged from 37.2% to 39.2% across both countries. Monthly gains due to E2V/DNG treatment (net of placebo improvement) associated with improvement in work productivity were estimated to be US$80.2 and Can$70.8 (US$58.5) and those associated with improvement in activities of daily living were estimated to be US$84.9 and Can$73.5 (US$60.7). CONCLUSIONS: E2V/DNG was shown to have a consistent positive impact on work productivity and activities of daily living in U.S. and Canadian women with HMB. In addition, these improvements in work productivity and activities of daily living were associated with a reduction in HMB-related monetary burden compared to the placebo group.

Impact of estradiol-valerate/dienogest on work productivity and activities of daily living in European and Australian women with heavy menstrual bleeding.

BACKGROUND: The purpose of this study was to quantify the impact of estradiol-valerate/dienogest (E(2)V/DNG; Qlaira(®)/Natazia(®)) on work productivity and activities of daily living in European and Australian women with heavy menstrual bleeding. METHODS: Women aged 18-54 years with a confirmed diagnosis of heavy menstrual bleeding and no recognizable pathology were recruited across nine European countries (the Czech Republic, Finland, Germany, Hungary, The Netherlands, Poland, Sweden, UK, and Ukraine) and Australia. The women were randomized to receive either E(2)V/DNG (n = 149) or placebo (n = 82) for seven treatment cycles (196 days). The outcomes assessed included work productivity (ie, productivity while at work) and activities of daily living, measured on a Likert scale from 0 to 10 (with higher values denoting higher impairment levels) at baseline and at the end of the third and seventh cycles (days 84 and 196). The equivalent monetary value associated with the changes in work productivity and activities of daily living was also calculated. RESULTS: Across all the countries, greater improvements from baseline to the end of treatment were observed with E(2)V/DNG treatment than placebo in work productivity (46.0% versus 15.1%) and activities of daily living (55.6% versus 30.8%). In 2008, savings associated with improvements in work productivity and activities of daily living due to E(2)V/DNG treatment (net of placebo improvement) were estimated to be between US$22-62 and US$18-56 per month (in purchasing power parity of US$), respectively. CONCLUSION: E(2)V/DNG has a consistent positive impact on work productivity and activities of daily living in European and Australian women with heavy menstrual bleeding. These improvements were associated with a reduction in monetary burden of heavy menstrual bleeding compared with the placebo group, consistent with the response to treatment observed.

Application of latent growth and growth mixture modeling to identify and characterize differential responders to treatment for COPD.

OBJECTIVE: To explore the utility of applying growth mixture models (GMMs) in secondary analyses of clinical trials to identify sources of variability in data reported by patients with COPD. METHODS: Analyses were performed on data from two 6-month clinical trials comparing indacaterol and open-label tiotropium or blinded salmeterol and the first six months of a 12-month trial comparing indacaterol and blinded formoterol. Latent growth model (LGM) analyses were conducted to explore the response of the SGRQ Symptoms score from baseline to six months and GMM analyses were evaluated as a method to identify latent classes of differential responders. RESULTS: Variability in SGRQ Symptom scores was found suggesting subsets of patients with differential response to treatment. GMM analyses found subsets of non-responders in all trials. When the responders were analyzed separately from non-responders, there were increased treatment effects (e.g., symptoms score improvement over six months for whole groups: indacaterol=8-12 units, tiotropium=7 units, salmeterol=9 units, formoterol=11 units. Responder subgroup improvement: indacaterol=9-21 units, tiotropium=7 units, salmeterol=10 units, formoterol=20 units). Responders had significantly different baseline SGRQ Symptom scores, smoking history, age, and mMRC dyspnea scores than non-responders. CONCLUSIONS: Patients with COPD represent a heterogeneous population in terms of their reporting of symptoms and response to treatment. GMM analyses are able to identify sub-groups of responders and non-responders. Application of this methodology could be of value on other endpoints in COPD and in other disease areas.

Use of latent growth curve models for assessing the effects of darbepoetin alfa on hemoglobin and fatigue.

BACKGROUND: The relationship between darbepoetin alfa and fatigue in chemotherapy-induced anemia (CIA) patients is complex because of patients receiving transfusions and the mediating effect of hemoglobin. Latent growth models (LGMs) were used to examine simultaneously relationships among drug exposure, fatigue outcomes, covariates, and mediating factors. METHODS: Data from four CIA studies (AMG 20010145: small cell lung cancer, n=547; AMG 980297: lung cancer, n=288; AMG 20000161: lymphoproliferative malignancies, n=339; AMG 20030232: non-myeloid malignancies, n=320) were analyzed separately. Patients reported fatigue using the FACT-Fatigue. The effect of darbepoetin alfa on FACT-F changes mediated through hemoglobin changes was examined with LGMs controlling for transfusions, age, sex, baseline ECOG performance status, and health status (EQ-5D VAS). Model fit was assessed using multiple indices including the comparative fit index (CFI). RESULTS: Darbepoetin alfa increased hemoglobin levels which were associated with decreases in fatigue. Increases in hemoglobin were statistically significantly (p<0.05) related to decreases in fatigue in the studies (AMG 20030145: beta=0.28; AMG 980297: beta=0.46; AMG 20000161: beta=0.59; and AMG 20030232: beta=0.39). Darbepoetin alfa statistically significantly increased hemoglobin (AMG 20010145:beta=0.50, AMG 980297:beta=0.53, AMG 20000161:beta=0.47, and AMG 20030232:beta=0.30) while controlling for covariates. Model fit was acceptable (CFI> or =0.89) in all studies. CONCLUSIONS: Results indicate LGMs may be a valuable statistical method for modeling complex relationships among clinical and patient reported outcomes. A statistically significant effect of darbepoetin alfa on fatigue change through hemoglobin change occurred across four studies, after modeling the effects of transfusions, age, sex, EQ-5D VAS and ECOG.

The congestion quantifier five-item test for nasal congestion: refinement of the congestion quantifier seven-item test.

BACKGROUND: Patients report that nasal congestion is the most bothersome symptom of allergic rhinitis (AR). Recently, a short, patient-reported congestion screener questionnaire, the Congestion Quantifier Seven-Item Test (CQ7), was developed to identify a level of congestion that may warrant patients seeking evaluation and possible treatment. We explored further item reduction of the CQ7 and examined the psychometric properties of this reduced set of items in a 15-day study of patients with confirmed AR or self-identified and clinician-confirmed congestion. METHODS: The CQ7 was subjected to item reduction methods and the psychometric properties of the reduced set of items were assessed. RESULTS: Two items were dropped-sinus pressure/pain and impact on work/school-because of lower item-rest correlations. The resulting Congestion Quantifier Five-Item screener (CQ5) performed comparably with the CQ7. Internal consistency reliability of both instruments were identical (alpha = 0.93); test-retest reliability from baseline to day 15 was similar (CQ7, alpha = 0.85; CQ5, alpha = 0.79). Both instruments were comparable in discriminating patients and controls (CQ7, area under the curve [AUC] = 0.97; CQ5, AUC = 0.96). A CQ5 score of 6 provided optimum balance of sensitivity (89.4%), specificity (88.6%), and correct classification (89%) for detecting congestion. CONCLUSION: The CQ5, a patient-reported outcome screener, is slightly shorter but equally reliable, valid, and responsive as the CQ7 for evaluating differences in levels of severity of nasal congestion. It may have wider applicability than the CQ7 because of exclusion of the work/school impact item.

Use of, satisfaction with, and willingness to switch prescription and over-the-counter treatments for chronic urticaria: an online survey.

BACKGROUND: : Chronic urticaria (hives) affects a sizeable number of people worldwide, perhaps as much as 3%. It is often accompanied by angioedema. The negative effects of urticaria and angioedema, and any adverse effects of treatment, can result in significant patient burden. OBJECTIVE: : To explore patients' use of, preferences for, and willingness to switch from prescription to over-the-counter (OTC) treatments for chronic urticaria. In addition, we compared treatment satisfaction with the treatment used most recently for their chronic urticaria. METHODS: : Data were collected by an online survey using members of international consumer survey panels representative of the general populations in France and Germany. Panelists with urticaria were selected based on answers to screening questions. Respondents were asked, in their native language, questions about their typical course of treatment (prescription vs OTC), satisfaction with treatment, troublesomeness of their typical outbreak, whether their condition had improved or become worse over the past 12 months, and their willingness to try a new treatment if one became available. Descriptive analyses were performed on selected variables. Groups were compared using difference of means tests. Correlations and multiple regressions were performed to assess predictors of satisfaction with treatment and likelihood of switching treatment. RESULTS: : The final study sample consisted of 405 patients. Patients who used prescription treatments were more satisfied and reported greater treatment benefits with their treatment than those using OTC treatments. Patients who felt that their condition had become worse over the past 12 months were more likely to consider switching treatments. Respondents who used Aerius (desloratadine) most recently for treating their symptoms reported greater satisfaction with treatment than did those who used other commonly used prescription treatments most recently. CONCLUSIONS: : These results suggest that prescription treatments for chronic urticaria have a valuable place amongst the treatments offered for this very uncomfortable condition. Moreover, patients expressed preference for prescription treatments in large part because they felt that these treatments work.

Optimal recall periods for patient-reported outcomes: challenges and potential solutions.

OBJECTIVES: As the role and importance of patient-reported outcomes (PROs) increase, the validity and reliability of PRO measures come under greater scientific and regulatory scrutiny. One key issue is selecting the 'most appropriate' recall period for capturing PROs in clinical trials. This paper draws on survey research, health-specific literature, and results from clinical trials to summarize factors that can influence recall and provide guidance on selecting an optimal recall period. METHODS: We conducted a systematic review of six databases and additional literature drawn from bibliographies of the selected articles. RESULTS: Six major factors can influence recall; these can be classified into two broad areas: characteristics of the recalled phenomenon (recency, attributes, complexity) and context or meaning of the recalled phenomenon (salience, patient experience, mood). Results of different recall periods for three classes of PROs are presented: health behaviors, symptoms, and health-related quality of life. We present findings on the effect of alternative recall periods for three commonly used PROs. Finally, we propose a heuristic model to link the concept under investigation with an optimal recall period. CONCLUSIONS: No single recall period is best for all measures or all phenomena. The recall period must correspond to the characteristics of the phenomenon of interest and the purpose of the assessment. Recall period is an issue of internal validity. An incorrect recall period introduces measurement error that may reduce the chances of detecting a treatment effect. Researchers should consider recall period as seriously as they do other measurement properties.