NAFLD and NASH are obesity-independent risk factors in COVID-19: Matched real-world results from the large PINC AI™ Healthcare Database.

BACKGROUND & AIMS: Non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) are potential risk factors for severe pneumonia and other infections. Available data on the role of NAFLD/NASH in worsening outcomes for COVID-19 are controversial and might be confounded by comorbidities. METHODS: We used the PINC AI™ Healthcare Data Special Release (PHD-SR) to identify patients with COVID-19 (ICD-10) at approximately 900 hospitals in the United States. We performed exact matching (age, gender, and ethnicity) for patients with or without NAFLD/NASH, adjusting for demographics (admission type, region) and comorbidities (e.g., obesity, diabetes) through inverse probability of treatment weighting and then analysed hospitalisation-related outcomes. RESULTS: Among 513 623 patients with SARS-CoV-2 (COVID-19), we identified 14 667 with NAFLD/NASH who could be matched to 14 667 controls. Mean age was 57.6 (±14.9) years, 50.8% were females and 43.7% were non-Hispanic whites. After matching, baseline characteristics (e.g., age, ethnicity, and gender) and comorbidities (e.g., hypertension, obesity, diabetes, and cardiovascular disease) were well balanced (standard difference (SD) <.10), except for cirrhosis and malignancies. Patients with COVID-19 and NAFLD/NASH had higher FIB-4 scores, a significantly longer hospital length of stay (LOS) and intensive care LOS than controls (9.4 vs. 8.3 days, and 10.4 vs. 9.3, respectively), even after adjusting for cirrhosis and malignancies. Patients with COVID-19 and NAFLD/NASH also had significantly higher risk of needing invasive mandatory ventilation (IMV) (odds ratio 1.0727; 95% CI 1.0095-1.1400). Other outcomes were similar in both groups. CONCLUSIONS: In this large real-world cohort of patients hospitalised for COVID-19 in the United States, NAFLD/NASH were obesity-independent risk factors for complicated disease courses.

An enriched approach to combining high-dimensional genomic and low-dimensional phenotypic data.

We describe an approach for combining and analyzing high-dimensional genomic and low-dimensional phenotypic data. The approach leverages a scheme of weights applied to the variables instead of observations and, hence, permits incorporation of the information provided by the low dimensional data source. It can also be incorporated into commonly used downstream techniques, such as random forest or penalized regression. Finally, the simulated lupus studies involving genetic and clinical data are used to illustrate the overall idea and show that the proposed enriched penalized method can select significant genetic variables while keeping several important clinical variables in the final model.

Real-world study of next-generation sequencing diagnostic biomarker testing for patients with lung cancer in Japan.

Our previous real-world studies raised concerns that sequential biomarker testing may lead to increased time to treatment when compared with simultaneous single biomarker testing. The Oncomine Dx target test (ODxTT), a next-generation sequencing-based multiplex biomarker panel test approved in Japan in 2019, is expected to improve time to treatment due to changes in testing methods. This retrospective observational study examined data claims for reimbursement submitted for patients with lung cancer in Japan between June 1, 2019, and March 31, 2020. To evaluate the change in testing prevalence over time and associated improvements in time to treatment, descriptive statistics were used to characterize biomarker testing patterns and rates and evaluate the time to treatment in the time following the approval of ODxTT considering transitions over time during the evaluation period. EGFR and programmed death ligand 1 (PD-L1) were the most tested biomarkers in overall single and simultaneous single testing in the 6177 patients in this study. Individual single biomarker testing gradually decreased over time, except testing for PD-L1, which remained constant. The use of ODxTT gradually increased in this period. Time to treatment decreased from 29 to 22 days with ODxTT, in contrast to single biomarker tests (median 21-23 days overall). These results indicate that biomarker testing frequency changed in Japanese clinical practice during the study and that the use of ODxTT has increased over time, which potentially contributed to the shortening of time to treatment.

Real-world therapeutic effectiveness of lorlatinib after alectinib in Japanese patients with ALK-positive non-small-cell lung cancer.

Alectinib, an anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitor (TKI), is the recommended first-line treatment for ALK-positive non-small-cell lung cancer (NSCLC) in Japan. Lorlatinib was approved as a subsequent therapeutic option after progression while receiving ALK TKI treatment. However, data on the use of lorlatinib in the second- or third-line setting after alectinib failure are limited in Japanese patients. This retrospective real-world observational study investigated the clinical effectiveness of lorlatinib in second- or later-line settings after alectinib failure in Japanese patients. Clinical and demographic data collected in the Japan Medical Data Vision (MDV) database between December 2015 and March 2021 were used. Patients diagnosed with lung cancer who received lorlatinib following alectinib failure after the November 2018 marketing approval of lorlatinib in Japan were included. Of 1954 patients treated with alectinib, 221 were identified from the MDV database as receiving lorlatinib after November 2018. The median age of these patients was 62 years. Second-line lorlatinib treatment was reported for 154 patients (70%); third- or later-line lorlatinib treatment was reported for 67 patients (30%). The median duration of treatment (DOT) for all lorlatinib-treated patients was 161 days (95% confidence interval [CI], 126-248), and 83 patients (37.6%) continued treatment after data cut-off (March 31, 2021). Median DOTs of 147 days (95% CI, 113-242) and 244 days (95% CI, 109 to not reached) were reported with second-line and third- or later-line treatment, respectively. Consistent with clinical trial data, this real-world observational study supports data suggesting the effectiveness of lorlatinib after alectinib failure in Japanese patients.

EstimATTR: A Simplified, Machine-Learning-Based Tool to Predict the Risk of Wild-Type Transthyretin Amyloid Cardiomyopathy.

BACKGROUND: Wild-type transthyretin amyloid cardiomyopathy (ATTRwt-CM), an increasingly recognized cause of heart failure (HF), often remains undiagnosed until later stages of the disease. METHODS AND RESULTS: A previously developed machine learning algorithm was simplified to create a random forest model based on 11 selected phenotypes predictive of ATTRwt-CM to estimate ATTRwt-CM risk in hypothetical patient scenarios. Using U.S. medical claims datasets (IQVIA), International Classification of Diseases codes were extracted to identify a training cohort of patients with ATTRwt-CM (cases) or nonamyloid HF (controls). After assessment in a 20% test sample of the training cohort, model performance was validated in cohorts of patients with International Classification of Diseases codes for ATTRwt-CM or cardiac amyloidosis vs nonamyloid HF derived from medical claims (IQVIA) or electronic health records (Optum). The simplified model performed well in identifying patients with ATTRwt-CM vs nonamyloid HF in the test sample, with an accuracy of 74%, sensitivity of 77%, specificity of 72%, and area under the curve of 0.82; robust performance was also observed in the validation cohorts. CONCLUSIONS: This simplified machine learning model accurately estimated the empirical probability of ATTRwt-CM in administrative datasets, suggesting it may serve as an easily implementable tool for clinical assessment of patient risk for ATTRwt-CM in the clinical setting. BRIEF LAY SUMMARY: Wild-type transthyretin amyloid cardiomyopathy (ATTRwt-CM for short) is a frequently overlooked cause of heart failure. Finding ATTRwt-CM early is important because the disease can worsen rapidly without treatment. Researchers developed a computer program that predicts the risk of ATTRwt-CM in patients with heart failure. In this study, the program was used to check for 11 medical conditions linked to ATTRwt-CM in the medical claims records of patients with heart failure. The program was 74% accurate in identifying ATTRwt-CM in patients with heart failure and was then used to develop an educational online tool for doctors (the wtATTR-CM estimATTR).

Effectiveness of crizotinib in patients with ROS1-positive non-small-cell lung cancer: real-world evidence in Japan.

Aim: Crizotinib, approved in Japan (2017) for ROS1-positive NSCLC, has limited real-world data. Materials & methods: Crizotinib monotherapy real-world effectiveness and treatment status were analyzed from claims data (June 2017-March 2021; Japanese Medical Data Vision; 58 patients tested for ROS1-NSCLC). Results: Median duration of treatment ([DoT]; primary end point), any line: 12.9 months; 22 patients on crizotinib, 23 discontinued, 13 receiving post-crizotinib treatment. 1L (n = 27) median DoT: 13.0 months (95% CI, 4.4-32.0 months); 13 patients on crizotinib; seven discontinued; seven receiving post-crizotinib treatment. 2L (n = 13) median DoT: 14.0 months (95% CI, 4.6-22.2 months); 2L+ (n = 31): nine patients on crizotinib; 16 discontinued; six receiving post-crizotinib treatment. Post-crizotinib treatments (chemotherapy, cancer immunotherapy, anti-VEGF/R) did not affect crizotinib DoT. Conclusion: Data supplement crizotinib's effectiveness in ROS1-positive NSCLC previously seen in clinical trials/real-world.

Non-small-cell lung cancer (NSCLC) is a common type of cancer in the lung that is often caused by mutations in specific genes in the DNA. One type of NSCLC occurs when you have mutations in a gene called ROS1, whose normal function is not well understood. Crizotinib, an oral medicine, was approved in Japan for the treatment of NSCLC with mutations in ROS1 in 2017; however, this was based upon data from controlled clinical trials. This study was looking at crizotinib use in Japan based upon claims data from the Japanese Medical Data Vision database, which captures all use of medications provided in Japan. Data was collected from June 2017 to March 2021 for 58 Japanese patients who had NSCLC, tested positive for ROS1 mutations, and received crizotinib. Patients took crizotinib for a median of 13.0 months as a first treatment option and 14.0 months as a second treatment option for their NSCLC. The type of and duration of anticancer treatments given before crizotinib did not have an effect on the length of time crizotinib was used. Other treatments outside of crizotinib were given before or after crizotinib and include chemotherapy, therapy that modifies the immune system to treat cancer, or treatments that inhibit the growth of blood vessels that help the cancer grow/spread. Together, these real-world data provide evidence supporting the use of crizotinib in the treatment of patients with NSCLC and ROS1 mutations.

Thrombotic and bleeding events, mortality, and anticoagulant use among 546,656 hospitalized patients with COVID-19 in the United States: a retrospective cohort study.

This study describes demographics, thrombotic and bleeding events, mortality, and anticoagulant use among hospitalized patients with COVID-19 in the United States. Premier Healthcare Database data were analyzed to identify inpatients with a discharge diagnosis for COVID-19 (ICD-10-CM code: U07.1) from April 1, 2020 to March 31, 2021, and matched historical controls without COVID-19 (inpatients discharged between April 1, 2018 and March 31, 2019). Thrombotic [including venous thromboembolism (VTE)] and bleeding events were based on ICD-10-CM discharge diagnosis codes. Of the 546,656 patients hospitalized with COVID-19, 20.1% were admitted to the ICU, 62.8% were aged ≥ 60 years, 51.5% were male, and 31.0% were non-white. Any thrombotic event was diagnosed in 10.0% of hospitalized and 20.8% of ICU patients with COVID-19 versus (vs) 11.5% and 24.4% for historical controls, respectively. More VTE events were observed in hospitalized and ICU patients with COVID-19 than historical controls (hospitalized: 4.4% vs 2.7%, respectively; ICU: 8.3% vs 5.2%, respectively; both P < 0.0001). Bleeding events were diagnosed in 10.2% of hospitalized and 21.8% of ICU patients with COVID-19 vs 16.0% and 33.2% for historical controls, respectively. Mortality among hospitalized (12.4%) and ICU (38.5%) patients with COVID-19 was higher vs historical controls (2.4%, P < 0.0001 and 9.4%, P < 0.0001, respectively) and higher in hospitalized patients with COVID-19 who had thrombotic events (29.4%) vs those without thrombotic events (10.8%, P < 0.0001). VTE and mortality were higher in hospitalized and ICU patients with COVID-19 vs historical controls. The presence of thrombotic events was associated with worse outcomes.

Comparative effectiveness of first-line palbociclib plus letrozole versus letrozole alone for HR+/HER2- metastatic breast cancer in US real-world clinical practice.

BACKGROUND: Findings from randomized clinical trials may have limited generalizability to patients treated in routine clinical practice. This study examined the effectiveness of first-line palbociclib plus letrozole versus letrozole alone on survival outcomes in patients with hormone receptor-positive (HR+)/human epidermal growth factor receptor-negative (HER2-) metastatic breast cancer (MBC) treated in routine clinical practice in the USA. PATIENTS AND METHODS: This was a retrospective observational analysis of electronic health records within the Flatiron Health Analytic Database. A total of 1430 patients with ≥ 3 months of follow-up received palbociclib plus letrozole or letrozole alone in the first-line setting between February 3, 2015, and February 28, 2019. Stabilized inverse probability treatment weighting (sIPTW) was used to balance baseline demographic and clinical characteristics. Real-world progression-free survival (rwPFS) and overall survival (OS) were analyzed. RESULTS: After sIPTW adjustment, median follow-up was 24.2 months (interquartile range [IQR], 14.2-34.9) in the palbociclib group and 23.3 months (IQR, 12.7-34.3) in those taking letrozole alone. Palbociclib combination treatment was associated with significantly longer median rwPFS compared to letrozole alone (20.0 vs 11.9 months; hazard ratio [HR], 0.58; 95% CI, 0.49-0.69; P < 0.0001). Median OS was not reached in the palbociclib group and was 43.1 months with letrozole alone (HR, 0.66; 95% CI, 0.53-0.82; P = 0.0002). The 2-year OS rate was 78.3% in the palbociclib group and 68.0% with letrozole alone. A propensity score matching analysis showed similar results. CONCLUSIONS: In this "real-world" population of patients with HR+/HER2- MBC, palbociclib in combination with endocrine therapy was associated with improved survival outcomes compared with patients treated with letrozole alone in the first-line setting. TRIAL REGISTRATION: Clinicaltrials.gov; NCT04176354.

Finite Mixture Models, a Flexible Alternative to Standard Modeling Techniques for Extrapolated Mean Survival Times Needed for Cost-Effectiveness Analyses.

OBJECTIVES: To compare finite mixture models with common survival models with respect to how well they fit heterogenous data used to estimate mean survival times required for cost-effectiveness analysis. METHODS: Publicly available overall survival (OS) and progression-free survival (PFS) curves were digitized to produce nonproprietary data. Regression models based on the following distributions were fit to the data: Weibull, lognormal, log-logistic, generalized F, generalized gamma, Gompertz, mixture of 2 Weibulls, and mixture of 3 Weibulls. A second set of analyses was performed based on data in which patients who had not experienced an event by 30 months were censored. Model performance was compared based on the Akaike information criterion (AIC). RESULTS: For PFS, the 3-Weibull mixture (AIC = 479.94) and 2-Weibull mixture (AIC = 488.24) models outperformed other models by more than 40 points and produced the most accurate estimates of mean survival times. For OS, the AIC values for all models were similar (all within 4 points). The means for the mixture 3-Weibulls mixture model (17.60 months) and the 2-Weibull mixture model (17.59 months) were the closest to the Kaplan-Meier mean estimate of (17.58 months). The results and conclusions from the censored analysis of PFS were similar to the uncensored PFS analysis. On the basis of extrapolated mean OS, all models produced estimates within 10% of the Kaplan-Meier mean survival time. CONCLUSIONS: Finite mixture models offer a flexible modeling approach that has benefits over standard parametric models when analyzing heterogenous data for estimating survival times needed for cost-effectiveness analysis.

Increasing access to erectile dysfunction treatment via pharmacies to improve healthcare provider visits and quality of life: Results from a prospective real-world observational study in the United Kingdom.

OBJECTIVES: The Medicines and Healthcare Products Regulatory Agency in the United Kingdom (UK) formally reclassified sildenafil citrate 50 mg tablets as a pharmacy medicine (sildenafil-P) in 2017 for adult men with erectile dysfunction (ED). A 1-year prospective real-world observational study was conducted to track men's health behaviour, particularly their healthcare resource utilisation (HCRU) and quality of life (QoL) before and after the availability of sildenafil-P. METHODS: Adult men with ED aged ≥18 years provided data at baseline (prior to launch of sildenafil-P) and every 3 months after the launch. Demographics, health characteristics, treatments at baseline and HCRU, including number of pharmacist and physician/nurse practitioner visits over time are reported. QoL-related outcomes were assessed via the Self-Esteem and Relationship Questionnaire (SEAR), 2-Item Patient Health Questionnaire and ratings of sexual satisfaction. Generalised linear models were used to assess the association of sildenafil-P use with total physician/nurse practitioner and pharmacist visits and QoL-related outcomes at 12 months. RESULTS: Overall, 1162 men completed the survey at all 5 time points. The mean ± SD age was 59.02 ± 12.06 years; 55.42% reported having a moderate-to-severe ED. Hypertension (37.52%) and hypercholesterolaemia (31.50%) were the most common risk factors for ED. At baseline, 62.99% were not using any ED treatment. After adjusting for baseline visits/other covariates, mean physician/nurse practitioner (3.68 vs 2.87; P = .003) and pharmacist visits for any reason (2.10 vs 1.34; P < .001) at 12 months were significantly higher among sildenafil-P users than those who never used sildenafil-P. Sildenafil-P users also had significantly higher SEAR total and domain (sexual relationship and self-esteem) scores at 12 months. CONCLUSION: Following the reclassification to a pharmacy medicine in the UK, sildenafil-P was associated with a higher number of physician/nurse practitioner and pharmacist visits for any reason. Sildenafil-P use was also associated with better QoL, although group differences were small in magnitude.

Treatment patterns, unmet need, and impact on patient-reported outcomes of psoriatic arthritis in the United States and Europe.

Psoriatic arthritis (PsA) is a chronic, inflammatory disease. The effects of PsA real-world treatment patterns on patient-reported outcomes in the US and 5 European countries (EU5; France, Germany, Italy, Spain, UK) were evaluated. Respondents from the 2016 National Health and Wellness Survey received advanced therapies (e.g., biologic disease-modifying antirheumatic drugs [DMARDs]), other therapies, (e.g., conventional synthetic DMARDs), or no treatment. Assessments included demographics, disease severity (patient-reported), comorbidities (Charlson Comorbidity Index), health status (Short Form-36 Health Survey), depression (Patient Health Questionnaire-9), work productivity (Work Productivity and Activity Index), and treatment adherence (Morisky Medication Adherence Scale-8). Overall, 1037 respondents from the US and 947 respondents from the EU5 were included. Of these, 21.7% US and 7.3% EU5 respondents received advanced therapies; 16.6% and 28.5%, other therapies; and 61.7% and 64.2%, no treatment, respectively. During treatment with advanced or other therapies, 40.8-54.7% US and 57.7-58.9% EU5 respondents self-reported moderate or severe PsA. Respondents receiving advanced therapies had the highest Charlson Comorbidity Index score (US, 1.25; EU5, 1.42); the lowest scores were with no treatment (0.52 and 0.49, respectively). Employment was lowest with other therapies (US, 47.7%; EU5, 41.1%). Overall work impairment was reported by 57.9% US and 62.6% EU5 respondents receiving advanced therapies. Medication adherence was generally low in the US and medium in the EU5 (Morisky Medication Adherence Scale-8: low, US 40.1-46.7%, EU5, 29.0-35.2%; medium, US 29.3-36.1%, EU5 37.8-49.3%; high, US 23.8-24.0%; EU5, 21.7-27.0%). Advanced and other therapies reduced PsA severity; however, > 40% of respondents reported moderate or severe PsA during treatment. Better management and adherence may reduce unmet need and disease burden. Further work is required to improve PsA diagnosis and time to treatment initiation.

USE OF ELECTRONIC HEALTH RECORDS TO CHARACTERIZE A RARE DISEASE IN THE U.S.: TREATMENT, COMORBIDITIES, AND FOLLOW-UP TRENDS AMONG PATIENTS WITH A CONFIRMED DIAGNOSIS OF ACROMEGALY.

OBJECTIVE: Understanding of acromegaly disease management is hampered in the U.S. by the lack of a national registry. We describe medical management in a population with confirmed acromegaly. METHODS: Inpatient and outpatient electronic health records (EHRs) were used to create a database of de-identified patients assigned the Acromegaly and Gigantism International Classification of Diseases, 9th revision (ICD-9) code and/or an appropriate pituitary procedure code at 1 of 4 regional hospital systems over a 6- to 11-year period. Information regarding demographics, medical history, labs, procedures, and medications was collected and supplemented with a chart review to validate the diagnosis of acromegaly. RESULTS: Of 367 patients with validated acromegaly, available records showed that during the years studied, pituitary surgery was performed on 31%, 4% received radiosurgery, and 22% were prescribed a drug indicated for acromegaly. Insulin-like growth factor-1 (IGF-1) levels were measured in 62% of patients, 83% of whom had at least 1 normal value. Coded comorbidities reflect those reported previously in patients with acromegaly, with the exception of esophageal reflux in 20% of patient records. Fewer data regarding acromegaly-specific medications and testing were available for patients aged 65 and older. CONCLUSION: AcroMEDIC is a U.S. multisite retrospective study of acromegaly that captured medical management in the majority of patients included in the cohort. Chart review highlighted the importance of verification of coded diagnoses. Most of the acromegaly-related comorbidities identified here are known to increase with age and obesity. Patients ≥65 appeared to have less active management/monitoring of their disease. Medical attention should be directed to this population to address evolving needs over time. ABBREVIATIONS: AcroMEDIC = Acromegaly Multisite Electronic Data Innovative Consortium; BMI = body mass index; CCI = Charlson Comorbidity Index; EHR = electronic health record; GH = growth hormone; GHRA = growth hormone receptor antagonist; ICD-9 = International Classification of Diseases, 9th revision; IGF-1 = insulin-like growth factor-1; SSA = somatostatin analogue.

Integrating data from randomized controlled trials and observational studies to predict the response to pregabalin in patients with painful diabetic peripheral neuropathy.

BACKGROUND: More patient-specific medical care is expected as more is learned about variations in patient responses to medical treatments. Analytical tools enable insights by linking treatment responses from different types of studies, such as randomized controlled trials (RCTs) and observational studies. Given the importance of evidence from both types of studies, our goal was to integrate these types of data into a single predictive platform to help predict response to pregabalin in individual patients with painful diabetic peripheral neuropathy (pDPN). METHODS: We utilized three pivotal RCTs of pregabalin (398 North American patients) and the largest observational study of pregabalin (3159 German patients). We implemented a hierarchical cluster analysis to identify patient clusters in the Observational Study to which RCT patients could be matched using the coarsened exact matching (CEM) technique, thereby creating a matched dataset. We then developed autoregressive moving average models (ARMAXs) to estimate weekly pain scores for pregabalin-treated patients in each cluster in the matched dataset using the maximum likelihood method. Finally, we validated ARMAX models using Observational Study patients who had not matched with RCT patients, using t tests between observed and predicted pain scores. RESULTS: Cluster analysis yielded six clusters (287-777 patients each) with the following clustering variables: gender, age, pDPN duration, body mass index, depression history, pregabalin monotherapy, prior gabapentin use, baseline pain score, and baseline sleep interference. CEM yielded 1528 unique patients in the matched dataset. The reduction in global imbalance scores for the clusters after adding the RCT patients (ranging from 6 to 63% depending on the cluster) demonstrated that the process reduced the bias of covariates in five of the six clusters. ARMAX models of pain score performed well (R 2 : 0.85-0.91; root mean square errors: 0.53-0.57). t tests did not show differences between observed and predicted pain scores in the 1955 patients who had not matched with RCT patients. CONCLUSION: The combination of cluster analyses, CEM, and ARMAX modeling enabled strong predictive capabilities with respect to pain scores. Integrating RCT and Observational Study data using CEM enabled effective use of Observational Study data to predict patient responses.

Burden of illness in fibromyalgia patients with comorbid depression.

OBJECTIVES: To assess the burden of fibromyalgia (FM) in patients with FM taking antidepressant medication for comorbid depression. METHODS: Symptom burden, impact on work and activity, and healthcare resource utilisation (HCRU) was examined at randomisation in patients enrolled in a clinical trial. Symptom burden was estimated based on self-reported health status measures. The Work Productivity and Activity Impairment: Specific Health Problem scale adapted to FM and a separate HCRU questionnaire were completed. The relationship between FM severity and burden was evaluated. RESULTS: The total population analysed comprised 193 patients; 71 (36.8%) had moderate FM and 119 (61.7%) severe FM. Patients had moderate pain, severe impairment in functioning due to FM, sleep disruption, mild anxiety, and mild depression. In the 7 days preceding randomisation, an average of 58.0% overall work impairment was reported, with 15.2% of working hours missed and 54.0% productivity while at work. In the 3 months preceding randomisation, on average, 5.0 visits per patient were made to healthcare professionals. Physical treatments were used by 34.7% and supplements by 31.6% of patients. Prescription and non-prescription medications, as well as professional services providing help with activities of daily living (ADL) that are impacted by FM, were used by >75% of patients. In addition, 50.4 hours of unpaid help was provided for ADL assistance. Total out-of-pocket expenditures were US$307.1, €410.4, or C$211.3, depending on location. FM burden worsened with increasing FM severity. CONCLUSIONS: This study demonstrates the significant burden of FM in patients with comorbid depression treated with an antidepressant.

Pregabalin Improves Pain Scores in Patients with Fibromyalgia Irrespective of Comorbid Osteoarthritis.

OBJECTIVE: Fibromyalgia (FM) is a chronic pain disorder with patients frequently suffering from comorbid conditions, including osteoarthritis (OA). Data on how FM patients with comorbid OA respond to recommended therapies (such as pregabalin) could help their treatment. DESIGN: This was a pooled exploratory analysis of three randomized placebo-controlled clinical trials of pregabalin in FM patients to assess the impact of comorbid OA on the response to pregabalin. METHODS: Patients were divided into those with and without comorbid OA. Difference in change in least squares (LS) mean pain score at endpoint (assessed by 0-10 numeric rating scale, controlled for baseline pain score) with pregabalin (300 mg/day and 450 mg/day) vs placebo was assessed. Changes in Patient Global Impression of Change (PGIC) responders and Fibromyalgia Impact Questionnaire (FIQ) total score were also assessed. RESULTS: There were 1665 patients in the analysis set (558, placebo; 552, pregabalin 300 mg/day; 555, pregabalin 450 mg/day), including 296 with comorbid OA. Pregabalin 450 mg/day significantly improved the LS mean (95% confidence interval) difference in pain score vs placebo in patients with (0.99 [0.44, 1.55], P < 0.001), and without (0.64 [0.39, 0.89], P < 0.001) OA. Improvements with pregabalin 300 mg/day with (0.31 [-0.25, 0.86], P = 0.276) and without (0.51 [0.25, 0.76], P < 0.001) OA were not consistently significant. Improvements in PGIC and FIQ total score were observed in patients with and without comorbid OA. CONCLUSIONS: FM patients with or without comorbid OA respond to treatment with pregabalin 450mg/day with significant improvements in pain intensity scores. These data could provide guidance to healthcare professionals treating these patients.

Examining the Time to Improvement of Sleep Interference With Pregabalin in Patients With Painful Diabetic Peripheral Neuropathy and Postherpetic Neuralgia.

Pregabalin has been shown to be a safe, effective treatment for neuropathic pain associated with painful diabetic peripheral neuropathy (DPN) or postherpetic neuralgia (PHN), with average time to reduction in pain of 2 days. Pain-related sleep interference is commonly reported in both painful DPN and PHN. These post hoc analyses examined the time to improvement in sleep with pregabalin in patients with painful DPN or PHN, measured by reduction in daily sleep interference (DSI) scores on an 11-point numeric rating scale. A total of 4527 patients from 16 placebo-controlled trials of pregabalin for treatment of painful DPN or PHN were included in the analysis. In these trials, there were a total of 16 pregabalin treatment arms for painful DPN (75-600 mg/d), 10 for PHN (150-600 mg/d), and 3 for painful DPN/PHN (150-600 mg/d). Time to improvement in DSI scores was calculated for all treatment arms that demonstrated statistically significant reductions in DSI scores during the first 14 days of treatment compared with placebo (23 of 29; 79.3%) and was defined as the first day DSI scores for that day and the following day were significantly lower than placebo (P < 0.001). Mean (SD) time to improvement in DSI scores was 1.6 (1.3) days. Sustained improvement (≥1-point improvement in mean DSI score) was seen significantly earlier for pregabalin DSI responders than patients receiving placebo. These findings demonstrate that statistically significant and sustained improvement in sleep occurs rapidly (within 1 day for some patients) in response to treatment with pregabalin.

Time to improvement of pain and sleep quality in clinical trials of pregabalin for the treatment of fibromyalgia.

OBJECTIVE: To determine the time to immediate and sustained clinical improvement in pain and sleep quality with pregabalin in patients with fibromyalgia. DESIGN: A post hoc analysis of four 8- to 14-week phase 2-3, placebo-controlled trials of fixed-dose pregabalin (150-600 mg/day) for fibromyalgia, comprising 12 pregabalin and four placebo treatment arms. PATIENTS: A total of 2,747 patients with fibromyalgia, aged 18-82 years. METHODS: Pain and sleep quality scores, recorded daily on 11-point numeric rating scales (NRSs), were analyzed to determine time to immediate improvement with pregabalin, defined as the first of ≥2 consecutive days when the mean NRS score was significantly lower for pregabalin vs placebo in those treatment arms with a significant improvement at endpoint, and time to sustained clinical improvement with pregabalin, defined as a ≥1-point reduction of the baseline NRS score of patient responders who had a ≥30% improvement on the pain NRS, sleep NRS, or Fibromyalgia Impact Questionnaire (FIQ) from baseline to endpoint, or who reported "much improved" or "very much improved" on the Patient Global Impression of Change (PGIC) at endpoint. RESULTS: Significant improvements in pain and sleep quality scores at endpoint vs placebo were seen in 8/12 and 11/12 pregabalin treatment arms, respectively (P < 0.05). In these arms, time to immediate improvements in pain or sleep occurred by day 1 or 2. Time to sustained clinical improvement occurred significantly earlier in pain, sleep, PGIC, and FIQ responders (P < 0.02) with pregabalin vs placebo. CONCLUSIONS: Both immediate and sustained clinical improvements in pain and sleep quality occurred faster with pregabalin vs placebo.

A comprehensive drug safety evaluation of pregabalin in peripheral neuropathic pain.

Pregabalin is a commonly used therapy currently recommended as first-line treatment for a number of neuropathic pain (NeP) conditions. Since licensure, a number of clinical trials of pregabalin in different NeP conditions have been completed from which additional data on safety and tolerability can be drawn. In this analysis, patient-level data from 31 randomized clinical trials of pregabalin in peripheral NeP sponsored by Pfizer were pooled and assessed for incidence of adverse events (AEs). Incidence by age, disease condition, and race, together with risk differences and time to onset and resolution of AEs, was assessed. In total, 7,510 patients were included: 4,884 on pregabalin (representing 805 patient-years treatment) and 2,626 on placebo. Pregabalin vs. placebo risk analysis identified 9 AEs with a risk difference, for which the lower limit of the 95% confidence interval (CI) was > 1%: dizziness (risk difference [95% CI]: (17.0 [15.4 to 18.6]), somnolence (10.8 [9.5 to 12.1]), peripheral edema (5.4 [4.3 to 6.4]), weight increase (4.7 [3.9 to 5.5]), dry mouth (2.9 [2.1 to 3.8]), constipation (2.3 [1.5 to 3.2]), blurred vision (2.2 [1.6 to 2.9]), balance disorder (2.0 [1.5 to 2.5]), and euphoric mood (1.6 [1.2 to 2.0]). The most common AEs, dizziness and somnolence, typically emerged within the first 1 to 2 weeks of treatment and resolved 1 to 2 weeks later, without resulting in cessation of treatment. The data from this review provide information, indicating which AEs may be expected in patients treated with pregabalin, and suggest that careful dose titration to the highest tolerable dose is the most appropriate approach in clinical practice.

Prediction of pregabalin-mediated pain response by severity of sleep disturbance in patients with painful diabetic neuropathy and post-herpetic neuralgia.

OBJECTIVE: To evaluate the predictive value of disturbed sleep on the ability of pregabalin to reduce pain associated with diabetic peripheral neuropathy (DPN) and post-herpetic neuralgia (PHN). DESIGN: A post-hoc analysis of data pooled from 16 placebo-controlled trials of pregabalin in patients with DPN or PHN. METHODS: Pain relief at endpoint was compared in patients with mild, moderate, or severe levels of baseline sleep disturbance. Sleep disturbance was based on a scale from 0-10 and scores <4, 4 to 7, and ≥7 were classified as mild, moderate, and severe, respectively. RESULTS: Pregabalin significantly reduced mean pain scores in the DPN (N = 3,056) and PHN (N = 1,471) cohorts (mean placebo-adjusted reductions were -0.73 and -1.08 for patients with DPN/PHN, respectively; both P < 0.05). The greatest extent of pain relief occurred in patients with severe sleep interference scores at baseline. Data analyses using the pooled DPN/PHN population identified a subset of patients (N = 707) exhibiting marked levels of pain relief at endpoint (mean placebo-adjusted reduction of -2.88), all of whom had severe sleep interference scores at baseline. Baseline sleep interference scores were a moderately good predictor of global patient improvement in response to pregabalin treatment in both patient cohorts. Finally, path analysis showed a high degree of association between improvements in sleep and pain relief in patients with DPN/PHN. CONCLUSION: Overall, these data suggest that the presence of comorbid sleep disturbance in patients with DPN/PHN might, in part, predict substantial pain relief in response to pregabalin treatment.