Prevalence of pyruvate kinase deficiency: A systematic literature review.

OBJECTIVES: Pyruvate kinase deficiency (PK deficiency) is a rare disorder caused by compound heterozygosity or homozygosity for > 300 mutations in the PKLR gene. To understand PK deficiency prevalence, we conducted a systematic literature review. METHODS: We queried Embase and Medline for peer-reviewed references reporting PK deficiency prevalence/incidence, PKLR mutant allele frequency (MAF) among the general population, or crude results from which these metrics could be derived. RESULTS: Of 1390 references screened, 1296 were excluded after title/abstract review; 60 were excluded after full-text review. Four of the remaining 34 studies were considered high-quality for estimating PK deficiency prevalence. Two high-quality studies identified cases from source populations of known sizes, producing estimates of diagnosed PK deficiency prevalence of 3.2 and 8.5 per million. Another high-quality study derived an estimate of diagnosed PK deficiency prevalence of 6.5 per million by screening jaundiced newborns. The final high-quality study estimated total diagnosed and undiagnosed PK deficiency prevalence to be 51 per million through extrapolation from observed MAFs. CONCLUSIONS: We conclude that prevalence of clinically diagnosed PK deficiency is likely between 3.2 and 8.5 per million in Western populations, while the prevalence of diagnosed and undiagnosed PK deficiency could possibly be as high as 51 per million.

Real-world cohort study of adult and pediatric patients treated for hereditary angioedema in the United States.

Background: There is limited real-world evidence on hereditary angioedema (HAE) patient characteristics and health-care resource utilization (HCRU); in addition, pediatric patients have been described in small cohorts. Objective: To describe patient characteristics, treatment patterns, and HCRU among adult and pediatric patients treated for HAE in a large U.S. cohort. Methods: This retrospective cohort study used an administrative claims data base (January 2006 to September 2015). Eligible patients with either ≥1 pharmacy claim for HAE-indicated therapies (C1 inhibitors, ecallantide, icatibant) or ≥2 medical claims with codes associated with HAE (per medical billing codes), and ≥1 claim for androgens, fresh frozen plasma, tranexamic acid, or ε-aminocaproic acid formed a "treated cohort." Three nonexclusive treated cohorts were assessed: overall, pediatric, and HCRU (≥2 years of continuous enrollment during 2010-2015). Results: Overall, 1429 patients received treatment (mean ± standard deviation [SD] age, 38.8 ±15.7 years; 62.4% female patients; mean ± SD Charlson Comorbidity Index of 1.4 ± 2.4). Common comorbidities were allergy or anaphylaxis (51.4%) and anxiety or depression (35.8%). Diagnoses indicative of HAE attacks included swelling and/or angioedema (78.5%), abdominal pain (55.6%), and asphyxiation (27.2%). Use of HAE-indicated medication rose between 2006 and 2015 to 81.8%, whereas androgen use declined (from 91.5% to 24.9%). Similar trends were observed in the pediatric treated cohort (n = 143). In the HCRU treated cohort (n = 538), HAE-related claims for emergency department and inpatient admissions were observed for 36.6% and 22.3% of patients, respectively. Conclusion: In a large U.S. cohort of adult and pediatric patients who received treatments indicated or used for HAE, common comorbidities and trends in resource use denoted the substantial burden of attacks, which reflected a continued need that recently approved long-term prophylactic treatments may help to address.

Incidence of liver injury among cancer patients receiving chemotherapy in an integrated health system.

PURPOSE: Using liver laboratory tests (LLTs), Hy's law is a method used to identify drug-induced liver injury (DILI), after excluding other causes. Elevated LLTs in chemotherapy-exposed patients may result from tumor effects or comorbidities. This study evaluated incidence of Hy's law in chemotherapy-treated cancer patients. METHODS: We identified breast, colorectal, and lung cancer patients diagnosed in 1 January 2000 to 31 December 2007 at a Midwestern health system. Using automated data, potential Hy's law (PHL) cases were defined by patterns of elevated LLTs suggestive of DILI. Among those treated with chemotherapy, we excluded PHL patients with pre-existing conditions that could cause liver injury, producing a cohort meeting Hy's law criteria, according to automated data. Medical record review, conducted among these automated data-derived Hy's law patients, further excluded those with causes of liver injury other than chemotherapy. RESULTS: Using automated data, among chemotherapy-exposed patients (N = 2788), 91 (3.3%) met PHL criteria using LLTs and 64 (2.3%) met Hy's law after excluding underlying liver injury using the International Classification of Diseases, 9th Revision codes. After a medical record review, 62 of 64 patients qualifying as Hy's law through automated data had other potential causes, leaving two patients (0.07%; 95%CI: 0.01-0.24%) with chemotherapy as a likely alternative cause of liver injury. CONCLUSIONS: Abnormal LLTs are common in chemotherapy-treated patients. Medical record review showed that the incidence of Hy's law events is rare. These data provide context for evaluating DILI in clinical trials and postmarketing surveillance of anticancer therapies, understanding that automated data alone may substantially overestimate the number of Hy's law cases.

Regulatory and HTA Considerations for Development of Real-World Data Derived External Controls.

Regulators and Health Technology Assessment (HTA) bodies are increasingly familiar with, and publishing guidance on, external controls derived from real-world data (RWD) to generate real-world evidence (RWE). We recently conducted a systematic literature review (SLR) evaluating publicly available information on the use of RWD-derived external controls to contextualize outcomes from uncontrolled trials submitted to the European Medicines Agency (EMA), the US Food and Drug Administration (FDA), and/or select HTA bodies. The review identified several key operational and methodological aspects for which more detailed guidance and alignment within and between regulatory agencies and HTA bodies is necessary. This paper builds on the SLR findings by delineating a set of key takeaways for the responsible generation of fit-for-purpose RWE. Practical methodological and operational guidelines for designing, conducting, and reporting RWD-derived external control studies are explored and discussed. These considerations include: (i) early engagement with regulators and HTA bodies during the study planning phase; (ii) consideration of the appropriateness and comparability of external controls across multiple dimensions, including eligibility criteria, temporality, population representation, and clinical evaluation; (iii) ensuring adequate sample sizes, including hypothesis testing considerations; (iv) implementation of a clear and transparent strategy for assessing and addressing data quality, including data missingness across trials and RWD; (v) selection of comparable and meaningful endpoints that are operationalized and analyzed using appropriate analytic methods; and (vi) conduct of sensitivity analyses to assess the robustness of findings in the context of uncertainty and sources of potential bias.

Effectively Leveraging RWD for External Controls: A Systematic Literature Review of Regulatory and HTA Decisions.

Real-world data (RWD)-derived external controls can be used to contextualize efficacy findings for investigational therapies evaluated in uncontrolled trials. As the number of submissions to regulatory and health technology assessment (HTA) bodies using external controls rises, and in light of recent regulatory and HTA guidance on the appropriate use of RWD, there is a need to address the operational and methodological challenges impeding the quality of real-world evidence (RWE) generation and the consistency in evaluation of RWE across agencies. This systematic review summarizes publicly available information on the use of external controls to contextualize outcomes from uncontrolled trials for all indications from January 1, 2015, through August 20, 2021, that were submitted to the European Medicines Agency, the US Food and Drug Administration, and/or select major HTA bodies (National Institute for Health and Care Excellence (NICE), Haute Autorité de Santé (HAS), Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen (IQWiG), and Gemeinsamer Bundesausschuss (G-BA)). By systematically reviewing submissions to regulatory and HTA bodies in the context of recent guidance, this study provides quantitative and qualitative insights into how external control design and analytic choices may be viewed by different agencies in practice. The primary operational and methodological aspects identified for discussion include, but are not limited to, engagement of regulators and HTA bodies, approaches to handling missing data (a component of data quality), and selection of real-world endpoints. Continued collaboration and guidance to address these and other aspects will inform and assist stakeholders attempting to generate evidence using external controls.

Assessing the incidence of osteosarcoma among teriparatide-treated patients using linkage of commercial pharmacy and state cancer registry data, contributing to the removal of boxed warning and other labeling changes.

BACKGROUND: Teriparatide, a recombinant human parathyroid hormone analogue, is associated with increased bone mineral density and a decreased risk of fractures. A dose-dependent increase in the incidence of osteosarcoma was observed in toxicology studies conducted in rats. The primary objective of this study was to estimate the incidence of osteosarcoma over a 10-year period among teriparatide-treated patients versus patients unexposed to teriparatide with osteoporosis and patients in the general population using national pharmacy dispensing data linked with data from participating state cancer registries (SCRs) in the US. METHODS: Patients aged 18 years or older with a dispensed teriparatide prescription formed two different cohorts: Teriparatide-Osteoporosis (Teriparatide-OP) was formed by matching teriparatide patients to unexposed patients with osteoporosis and Teriparatide-General Population (Teriparatide-GP) was formed by matching teriparatide patients to general population patients with a dispensed prescription for a medication other than teriparatide. Matching was performed using select demographics and other variables. Study cohorts were linked to SCR data to ascertain osteosarcoma status. To account for missing outcome data from non-participating SCRs, two analytic approaches were used: the first adjusted the person-time at-risk using a coverage fraction and the second restricted the analyses to patients from states with participating SCRs. RESULTS: There were 18 osteosarcoma cases across four study cohorts: the same three cases in the Teriparatide-OP and Teriparatide-GP cohorts, six cases in the Osteoporosis cohort, and nine cases in the General Population cohort. For the analysis using the coverage fraction the incidence rate ratio (IRR) comparing the Teriparatide-OP and Teriparatide-GP cohorts to the Osteoporosis and General Population cohorts was 1.0 (95% CI: 0.2, 4.5) and 1.3 (95% CI: 0.2, 5.1), respectively. When restricting the analysis to patients from states with participating SCRs, the IRR was 0.6 (95% CI: 0.1, 3.6) and 0.8 (95% CI 0.1, 4.0), respectively. CONCLUSION: The estimates of association between teriparatide and osteosarcoma were imprecise due to the small number of observed osteosarcoma cases. However, the incidence of osteosarcoma observed in each study cohort was within the expected range given background rates for the US general population. The evidence generated by this study, in conjunction with other real-world studies evaluating the risk of osteosarcoma, was used to support changes to the US teriparatide label (including removal of the black box warning regarding potential risk of osteosarcoma) and expand treatment options for patients with osteoporosis.

Treatment patterns, adherence, and persistence among psoriasis patients treated with biologics in a real-world setting, overall and by disease severity.

PURPOSE: Describe treatment patterns by disease severity among biologic-treated psoriasis patients. MATERIALS AND METHODS: We selected our study cohort in the IQVIA PharMetrics Plus adjudicated claims database linked to Electronic Health Record data from Modernizing Medicine Data Services. Patients were classified as having mild, moderate, or severe psoriasis based on a hierarchy of available severity measures. Patients were followed for 360 days to assess combination therapy, therapy switching and restarting, adherence and persistence. RESULTS: The cohort comprised 2130 biologic-treated patients (mean age: 47.6 years; 45.4% female); 447 (21%) had available disease severity measures. Compared to patients with mild (N = 282) psoriasis, more patients with moderate (N = 116) or severe (N = 49) disease used combination therapy (21.3% vs. 34.5% and 32.7%, respectively), switched therapies (12.1% vs. 19.8% and 22.4%), and discontinued biologics (18.4% vs. 27.6% and 36.7%). Mean adherence was <75% by Medication Possession Ratio (MPR) (73.9%) and Proportion of Days Covered (PDC) (70.2%). Overall, 52.2% had a mean MPR >80%. Mean persistence to biologics was 297.6 days. Persistence and adherence decreased with increasing disease severity. CONCLUSIONS: Biologic-treated psoriasis patients had inadequate adherence (i.e., MPR <80%) and modest persistence to biologics, with moderate and severe patients demonstrating lower adherence and persistence than mild patients.

Healthcare resource utilization and costs among psoriasis patients treated with biologics, overall and by disease severity.

AIMS: To describe healthcare resource utilization (HCRU) and costs among biologic-treated psoriasis patients in the US, overall and by disease severity. MATERIALS AND METHODS: IQVIA PharMetrics Plus administrative claims data were linked with Modernizing Medicine Data Services Electronic Health Record data and used to select adult psoriasis patients between April 1, 2010 and December 31, 2014. Eligible patients were classified by disease severity (mild, moderate, severe) using a hierarchy of available clinical measures. One-year outcomes included all-cause and psoriasis-related outpatient, emergency department, inpatient, and pharmacy HCRU and costs. RESULTS: This study identified 2,130 biologic-treated psoriasis patients: 282 (13%) had mild, 116 (5%) moderate, and 49 (2%) severe disease; 1,683 (79%) could not be classified. The mean age was 47.6 years; 45.4% were female. Relative to mild psoriasis patients, patients with moderate or severe disease had more median all-cause outpatient encounters (28.0 [mild] vs 32.0 [moderate], 36.0 [severe]), more median psoriasis-related outpatient encounters (6.0 [mild] vs 7.5 [moderate], 8.0 [severe]), and a higher proportion of overall claims for medications that were psoriasis-related (28% [mild] vs 37% [moderate], 34% [severe]). Relative to mild psoriasis patients, patients with moderate or severe disease had higher median all-cause total costs ($37.7k [mild] vs $42.3k [moderate], $49.3k [severe]), higher median psoriasis-related total costs ($32.7k [mild] vs $34.9k [moderate], $40.5k [severe]), higher median all-cause pharmacy costs ($33.9k [mild] vs $36.5k [moderate], $36.4k [severe]), and higher median psoriasis-related pharmacy costs ($32.2k [mild] vs $33.9k [moderate], $35.6k [severe]). LIMITATIONS: The assessment of psoriasis disease severity may not have necessarily coincided with the timing of biologic use. The definition of disease severity prevented the assessment of temporality, and may have introduced selection bias. CONCLUSIONS: Biologic-treated patients with moderate or severe psoriasis cost the healthcare system more than patients with mild psoriasis, primarily driven by higher pharmacy costs and more outpatient encounters.

Quality of life of 5-10 year breast cancer survivors diagnosed between age 40 and 49.

BACKGROUND: The purpose of this report is to examine the correlates of quality of life (QOL) of a well-defined group of long-term breast cancer survivors diagnosed between the ages of 40 and 49. METHODS: Women were eligible if they were diagnosed with invasive breast cancer or ductal carcinoma in situ 5 to 10 years before June 30, 1998 and were enrolled at Group Health Cooperative, a health maintenance organization in western Washington State. A questionnaire was mailed to 290 women; 216 were included in this analysis. The questionnaire included standardized measures of QOL [e.g., the Cancer Rehabilitation Evaluation System (CARES-SF) and SF-36] as well as general demographic and medical information. ANOVA and logistic regression were used to estimate correlates of self-reported QOL. RESULTS: The mean age at diagnosis was 44.4 years, and the average time since diagnosis was 7.3 years. Women reported high levels of functioning across several standardized QOL scales; mild impairment was found on the CARES-SF Sexual Scale. The presence of breast-related symptoms at survey, use of adjuvant therapy, having lower income, and type of breast surgery were significantly associated with lower QOL 5 to 10 years post-diagnosis on one or more of the scales. CONCLUSIONS: Our results emphasize that younger long-term survivors of breast cancer have a high QOL across several standardized measures. However, the long-term consequences of adjuvant therapy and the management of long-term breast-related symptoms are two areas that may be important for clinicians and women with breast cancer in understanding and optimizing long-term QOL.

Reason for late-stage breast cancer: absence of screening or detection, or breakdown in follow-up?

BACKGROUND: Mammography screening increases the detection of early-stage breast cancers. Therefore, implementing screening should reduce the percentage of women who are diagnosed with late-stage disease. However, despite high national mammography screening rates, late-stage breast cancers still occur, possibly because of failures in screening implementation. METHODS: Using data from seven health care plans that included 1.5 million women aged 50 years or older, we conducted retrospective reviews of chart and automated data for 3 years before 1995-1999 diagnoses of late-stage (metastatic and/or tumor size > or =3 cm; case subjects, n = 1347) and early-stage breast cancers (control subjects, n = 1347). We categorized the earliest screening mammogram during the period 13-36 months before diagnosis as none (absence of screening), negative (absence of detection), or positive (potential breakdown in follow-up). We compared the proportion of case and control subjects in each category of screening implementation and estimated the likelihood (odds ratio [OR] with 95% confidence intervals [CIs]) of late-stage breast cancer. We also evaluated demographic characteristics associated with absence of screening in women with late-stage disease. All statistical tests were two-sided. RESULTS: Absence of screening, absence of detection, and potential breakdown in follow-up were distributed differently among case (52.1%, 39.5%, and 8.4%, respectively) and control subjects (34.4%, 56.9%, and 8.8%, respectively) (P = .03). Among all women, the odds of having late-stage cancer were higher among women with an absence of screening (OR = 2.17, 95% CI = 1.84 to 2.56; P<.001). Among case patients, women were more likely to be in the absence-of-screening group if they were aged 75 years or older (OR = 2.77, 95% CI = 2.10 to 3.65), unmarried (OR = 1.78, 95% CI = 1.41 to 2.24), or without a family history of breast cancer (OR = 1.84, 95% CI = 1.45 to 2.34). A higher proportion of women from census blocks with less education (58.5% versus 49.4%; P = .003) or lower median annual income (54.4% versus 42.9%; P = .004) were in the absence-of-screening category compared with the proportion for the other two categories combined. CONCLUSIONS: To reduce late-stage breast cancer occurrence, reaching unscreened women, including elderly, unmarried, low-income, and less educated women, should be made a top priority for screening implementation.