The rate, cost and outcomes of parathyroidectomy in the united states dialysis population from 2016-2018.

BACKGROUND: In end-stage kidney disease, patients may undergo parathyroidectomy if secondary hyperparathyroidism cannot be managed medically. This study was designed to estimate the parathyroidectomy rate in the United States (US) and to quantify changes in costs and other outcomes after parathyroidectomy. METHODS: This was a retrospective observational cohort study using US Renal Data System data for 2015-2018. Parathyroidectomy rates were estimated for adult hemodialysis and peritoneal dialysis patients alive at the beginning of 2016, 2017, and 2018 who were followed for a year or until parathyroidectomy, death, or transplant. Incremental differences in economic and clinical outcomes were compared before and after parathyroidectomy in adult hemodialysis and peritoneal dialysis patients who received a parathyroidectomy in 2016 and 2017. RESULTS: The rate of parathyroidectomy per 1,000 person-years decreased from 6.5 (95% CI 6.2-6.8) in 2016 to 5.3 (95% CI 5.0-5.6) in 2018. The incremental increase in 12-month cost after versus before parathyroidectomy was $25,314 (95% CI $23,777-$27,078). By the second month after parathyroidectomy, 58% of patients had a corrected calcium level < 8.5 mg/dL. In the year after parathyroidectomy (versus before), hospitalizations increased by 1.4 per person-year (95% CI 1.3-1.5), hospital days increased by 12.1 per person-year (95% CI 11.2-13.0), dialysis visits decreased by 5.2 per person-year (95% CI 4.4-5.9), and office visits declined by 1.3 per person-year (95% CI 1.0-1.5). The incremental rate per 1,000 person years for hematoma/bleed was 224.4 (95% CI 152.5-303.1), for vocal cord paralysis was 124.6 (95% CI 59.1-232.1), and for seroma was 27.4 (95% CI 0.4-59.0). CONCLUSIONS: Parathyroidectomy was a relatively uncommon event in the hemodialysis and peritoneal dialysis populations. The incremental cost of parathyroidectomy was mostly attributable to the cost of the parathyroidectomy hospitalization. Hypocalcemia occurred in over half of patients, and calcium and phosphate levels were reduced. Clinicians, payers, and patients should understand the potential clinical and economic outcomes when considering parathyroidectomy.

Real World Use and Effects of Calcimimetics in Treating Mineral and Bone Disorder in Hemodialysis Patients.

BACKGROUND: Calcimimetics are used to treat mineral and bone disorder by reducing parathyroid hormone (PTH), calcium (Ca), and phosphorus (Phos). The study objectives were to assess the control of PTH, Ca, and Phos over time in patients receiving cinacalcet or etelcalcetide as well as dosing and time to discontinuation for etelcalcetide. METHODS: This was a retrospective cohort study using electronic medical records from small and independent dialysis centers. Adults ≥18 years of age were identified as cinacalcet or etelcalcetide users based on the first calcimimetic received in 2018 (index date). Patients were followed from the index date until parathyroidectomy, kidney transplant, death, or end of data (December 31, 2018). Analyses of mean PTH, Ca, and Phos, as well as target achievement of PTH, Ca, and Phos were conducted over a 9-month period. Discontinuation with etelcalcetide was measured with the Kaplan-Meier estimator. RESULTS: There were 1,346 cinacalcet patients (mean age 60.5 years, 43.5% female, and 47.1% Black) and 1,255 etelcalcetide patients (mean age 63.4 years, 46.6% female, and 38.5% Black). At baseline, the proportions in target were similar for etelcalcetide versus cinacalcet: 36 versus 38% for PTH, 79 versus 80% for Ca, and 43 versus 44% for Phos. Overall, 40-47% of cinacalcet users and 48-62% of etelcalcetide users were observed to be in target for PTH over 9 months. The proportion in target for Phos ranged from 41 to 46% for cinacalcet and 46-51% for etelcalcetide. The proportion in target for Ca ranged from 74 to 78% for cinacalcet and 60-73% for etelcalcetide. Etelcalcetide 12-month discontinuation was 37.4%. CONCLUSION: Both calcimimetics were effective in keeping PTH, Ca, and Phos levels within target. Patients receiving etelcalcetide tended to have lower laboratory values for PTH, Ca, and Phos over time, while patients receiving cinacalcet tended to be more likely to be in target for Ca over time.

The Generalized Data Model for clinical research.

BACKGROUND: Most healthcare data sources store information within their own unique schemas, making reliable and reproducible research challenging. Consequently, researchers have adopted various data models to improve the efficiency of research. Transforming and loading data into these models is a labor-intensive process that can alter the semantics of the original data. Therefore, we created a data model with a hierarchical structure that simplifies the transformation process and minimizes data alteration. METHODS: There were two design goals in constructing the tables and table relationships for the Generalized Data Model (GDM). The first was to focus on clinical codes in their original vocabularies to retain the original semantic representation of the data. The second was to retain hierarchical information present in the original data while retaining provenance. The model was tested by transforming synthetic Medicare data; Surveillance, Epidemiology, and End Results data linked to Medicare claims; and electronic health records from the Clinical Practice Research Datalink. We also tested a subsequent transformation from the GDM into the Sentinel data model. RESULTS: The resulting data model contains 19 tables, with the Clinical Codes, Contexts, and Collections tables serving as the core of the model, and containing most of the clinical, provenance, and hierarchical information. In addition, a Mapping table allows users to apply an arbitrarily complex set of relationships among vocabulary elements to facilitate automated analyses. CONCLUSIONS: The GDM offers researchers a simpler process for transforming data, clear data provenance, and a path for users to transform their data into other data models. The GDM is designed to retain hierarchical relationships among data elements as well as the original semantic representation of the data, ensuring consistency in protocol implementation as part of a complete data pipeline for researchers.

Estimating the Population Benefits and Costs of Rituximab Therapy in the United States from 1998 to 2013 Using Real-World Data.

BACKGROUND: Rituximab was approved in 1997 and is regularly one of the largest drug expenditures for Medicare; however, its benefits and costs have not been estimated from a population perspective. OBJECTIVES: To estimate both the clinical and the economic outcomes of rituximab for its approved hematological uses at the population level. RESEARCH DESIGN: Analyses using cancer registry incidence data from the Surveillance, Epidemiology, and End Results (SEER) program, and outcomes data from SEER data linked with Medicare administrative claims (SEER-Medicare data). These results were incorporated into an epidemiological simulation model of the population over time. SUBJECTS: We modeled all United States patients from 1998 to 2013 diagnosed with diffuse large B-cell lymphoma, follicular lymphoma, or chronic lymphocytic leukemia. MEASURES: Using this model, we estimated the life-years saved, as well as their economic benefit, in the United States population. We also estimated the incremental cost of adding rituximab to chemotherapy. All economic inputs were based on Medicare reimbursed amounts inflated to 2013 dollars. RESULTS: There were 279,704 cumulative life-years saved which were valued at $25.44 billion. The incremental direct medical cost of rituximab was estimated to be $8.92 billion, resulting in an incremental economic gain of $16.52 billion. CONCLUSIONS: These analyses, based on real-world evidence, show that the introduction of rituximab into clinical practice has produced a substantial number of incremental life-years. Importantly, the economic benefit of the life-years gained greatly exceeds the added costs of treatment.

Facility-level CKD-MBD composite score and risk of adverse clinical outcomes among patients on hemodialysis.

BACKGROUND: Patients receiving hemodialysis with values outside of target levels for parathyroid hormone (PTH: 150-600 pg/mL), calcium (Ca: 8.4-10.2 mg/dL), and phosphate (P: 3.5-5.5 mg/dL) are at elevated morbidity and mortality risk. We examined whether patients receiving care in dialysis facilities where greater proportions of patients have at least two values out of target have a higher risk of adverse clinical outcomes. METHODS: The study cohort consisted of 39,085 prevalent hemodialysis patients in 1298 DaVita dialysis facilities as of September 1, 2009, followed from January 1, 2010, until an outcome, a censoring event, or December 31, 2010. We determined the quintile of the distribution across facilities of the proportion of patients with at least two of three parameters out of, or above, target over a 4-month baseline period. The primary composite outcome was cardiovascular hospitalization or death. Secondary outcomes included death, cardiovascular hospitalization, and parathyroidectomy. Poisson regression models were used to estimate the association of facility quintile with outcomes. RESULTS: Facility quintile was associated with a 7 % increased risk of cardiovascular hospitalization or death (quintile 5 versus 1, RR 1.07, 95 % CI 1.01-1.13) using the out-of-target measure of exposure and a 12 % increased risk (RR 1.12, 95 % CI 1.06-1.19) using the above-target measure. No association was seen for death using either measure. Patients in facility quintiles 3-5 (versus 1) were at increased parathyroidectomy risk (RR ranged from 2.05, 95 % CI 1.10-3.82, for quintile 3 to 2.73, 95 % CI 1.50-4.98, for quintile 5). CONCLUSIONS: Facility level analysis of a large prevalent sample of US patients on hemodialysis demonstrates that patients in facilities with the least control of PTH, Ca, and P had the greatest risk of parathyroidectomy or the combination of cardiovascular hospitalization or death.

Refining the definition of clinically important mineral and bone disorder in hemodialysis patients.

BACKGROUND: It is important to identify an easily defined subset of patients at increased risk of adverse clinical outcomes associated with mineral and bone disorder (MBD) biomarkers (parathyroid hormone, calcium and phosphate). METHODS: Observational cohort study of 26 221 prevalent hemodialysis patients in Davita clinics as of 31 August 2005 and followed up until 31 December 2006 (16 months). Predictors were 12 possible definitions of 'clinically important' MBD based on all 3 biomarkers, and 18 alternative definitions based on only 1 or 2 biomarkers. Events were death alone and a composite of cardiovascular hospitalization or death. Excess events were calculated based on a multivariate Cox model using 5224 patients in target for all MBD biomarkers and applied to 20 997 patients out of target for at least one biomarker. Excess events attributable to MBD were estimated by subtracting the multivariate model-derived predicted number from the actual number. Outcomes were the proportion of excess events attributable to MBD captured by each definition (threshold ≥70%) and the reduction in the population size considered to have clinically important MBD (threshold ≥30%). The excess fraction was excess events divided by actual events. RESULTS: Patients with more biochemical markers out of target tended to be younger, black and have longer times since starting dialysis. The excess fraction associated with MBD ranged from ∼10 to 26% depending on the clinical endpoint and definition. The only definition to meet the thresholds required at least two of the three MBD biomarkers to be out of target (high or low). It captured 82% of excess composite endpoints and 74% of excess deaths and reduced the at-risk population by 46%. CONCLUSIONS: Patients with at least two of three MBD biomarkers out of target represent a subgroup of patients at elevated risk of adverse clinical events.

Estimated Life-Years Saved in Women with HER2-Positive Metastatic Breast Cancer Receiving First-Line Trastuzumab and Pertuzumab in the United States.

BACKGROUND: HER2 positive (HER2+) metastatic breast cancer (MBC) is associated with high mortality. Trastuzumab was approved for use in 1998, but the life-years saved from first-line use are unknown, as are the potential US population benefits from adding pertuzumab. OBJECTIVES: The first aim was to estimate the number of life-years saved by using first-line trastuzumab between 1999 and 2013 in HER2+ women with MBC. In addition, based on these estimates, the second aim was to project the life-years that could be saved by adding pertuzumab to trastuzumab in first-line therapy. METHODS: We constructed a simulation model accounting for incidence, testing rates, therapy utilization, and overall survival. The model was run for 1999 to 2013 (15 years) to estimate the life-years saved from using trastuzumab plus chemotherapy instead of chemotherapy alone. The model was also run from 2013 to 2027 (15 years) to project the life-years that might be saved by adding pertuzumab. Uncertainty was incorporated using Monte-Carlo methods. RESULTS: The estimated number of women with HER2+ MBC varied over time, with the peak of 9700 in 2005 and the low of 7700 in 2018. The cumulative incremental life-years saved because of first-line trastuzumab use from 1999 to 2013 was estimated to be 156,413 (95% simulation interval 114,840-195,201). The projection for pertuzumab from 2013 to 2027 was 137,959 (95% simulation interval 56,011-225,069). Exploratory analyses of value showed that pertuzumab, trastuzumab, and chemotherapy is associated with a $1.10 billion gain compared with chemotherapy alone, and adding pertuzumab is associated with a $0.06 billion gain compared with trastuzumab with chemotherapy. CONCLUSIONS: This simulation model suggests that substantial progress has been made in treating HER2+ women over the past 15 years, and the future may witness similar gains with the introduction of pertuzumab.

An observational study of outcomes after initial infused therapy in Medicare patients diagnosed with chronic lymphocytic leukemia.

The study goal was to characterize older chronic lymphocytic leukemia (CLL) patients and to evaluate outcomes in those patients who initiated infused therapy. Patients 66 years of age and older in the Surveillance, Epidemiology, and End Results (SEER) program with a CLL diagnosis were matched to their Medicare Part A and Part B claims for long-term follow-up. Treatment patterns, survival after initiation of infused therapy, and both hematologic and hospitalization outcomes were assessed. There were 6433 CLL patients identified, and 2040 received infused therapy. Treated patients were categorized as receiving rituximab monotherapy (16%), rituximab plus chemotherapy (14%), and chemotherapy alone (70%) based on the initial 60 days after infusion. Rituximab plus chemotherapy compared with chemotherapy alone was associated with a 25% lower risk of overall mortality (95% confidence interval, 9%-38%). Restricting to patients age 70 years and older did not change the risk reduction for rituximab plus chemotherapy. Hematologic interventions were more common with rituximab plus chemotherapy compared with chemotherapy alone, but there was no difference in all-cause hospitalizations. These analyses, based on observational data, suggest that the benefits of initial therapy with rituximab in a heterogeneous group of older CLL patients are comparable with those demonstrated in younger patients.

Prevalence and incidence of comorbidities in elderly women with ovarian cancer.

OBJECTIVE: Studies suggest comorbidity plays an important role in ovarian cancer. We characterized the epidemiology of comorbid conditions in elderly U.S. women with ovarian cancer. METHODS: Women with ovarian cancer age ≥66 years, and matched cancer-free women, were identified using the National Cancer Institute's Surveillance, Epidemiology, and End Results registry linked to Medicare claims. Prevalence before diagnosis/index date and 3- and 12-month incidence rates (per 1000 person-years) after diagnosis/index date were estimated for 34 chronic and acute conditions across a broad range of diagnostic categories. RESULTS: There were 5087 each of women with ovarian cancer and cancer-free women. The prevalence of most conditions was similar between cancer and cancer-free patients, but exceptions included hypertension (51.8% and 43.5%, respectively), osteoarthritis (13.4% and 17.3%, respectively), and cerebrovascular disease (8.0% and 9.8%, respectively). In contrast, 3- and 12-month incidence rates (per 1000 person years) of most conditions were significantly higher in cancer than in cancer-free patients: hypertension (177.3 and 47.4, respectively); thromboembolic event (145.3 and 5.5, respectively); congestive heart failure (113.3 and 28.6, respectively); infection (664.4 and 55.2, respectively); and anemia (408.3 and 33.1, respectively) at 12 months. CONCLUSIONS: Comorbidities were common among elderly women. After cancer diagnosis, women with ovarian cancer had a much higher incidence of comorbidities than cancer-free women. The high incidence of some of these comorbidities may be related to the cancer or its treatment, but others may have been prevalent but undiagnosed until the cancer diagnosis. The presence of comorbidities may affect treatment decisions.

Misclassification of incident conditions using claims data: impact of varying the period used to exclude pre-existing disease.

BACKGROUND: Estimating the incidence of medical conditions using claims data often requires constructing a prevalence period that predates an event of interest, for instance the diagnosis of cancer, to exclude those with pre-existing conditions from the incidence risk set. Those conditions missed during the prevalence period may be misclassified as incident conditions (false positives) after the event of interest.Using Medicare claims, we examined the impact of selecting shorter versus longer prevalence periods on the incidence and misclassification of 12 relatively common conditions in older persons. METHODS: The source of data for this study was the National Cancer Institute's Surveillance, Epidemiology, and End Results cancer registry linked to Medicare claims. Two cohorts of women were included: 33,731 diagnosed with breast cancer between 2000 and 2002, who had ≥ 36 months of Medicare eligibility prior to cancer, the event of interest; and 101,649 without cancer meeting the same Medicare eligibility criterion. Cancer patients were followed from 36 months before cancer diagnosis (prevalence period) up to 3 months after diagnosis (incidence period). Non-cancer patients were followed for up to 39 months after the beginning of Medicare eligibility. A sham date was inserted after 36 months to separate the prevalence and incidence periods. Using 36 months as the gold standard, the prevalence period was then shortened in 6-month increments to examine the impact on the number of conditions first detected during the incidence period. RESULTS: In the breast cancer cohort, shortening the prevalence period from 36 to 6 months increased the incidence rates (per 1,000 patients) of all conditions; for example: hypertension 196 to 243; diabetes 34 to 76; chronic obstructive pulmonary disease 29 to 46; osteoarthritis 27 to 36; congestive heart failure 20 to 36; osteoporosis 22 to 29; and cerebrovascular disease 13 to 21. Shortening the prevalence period has less impact on those without cancer. CONCLUSIONS: Selecting a short prevalence period to rule out pre-existing conditions can, through misclassification, substantially inflate estimates of incident conditions. In incidence studies based on Medicare claims, selecting a prevalence period of ≥24 months balances the need to exclude pre-existing conditions with retaining the largest possible cohort.

Comparative effectiveness and cost of adding rituximab to first-line chemotherapy for elderly patients diagnosed with diffuse large B-cell lymphoma.

BACKGROUND: Clinical trials indicate that rituximab improves the survival of patients with diffuse large B-cell lymphoma (DLBCL). Economic models using multiple data sources, including clinical trials for survival outcomes, have projected cost offsets/savings and favorable cost-effectiveness associated with rituximab. In this study, the authors evaluated survival and cost impacts of adding rituximab to first-line chemotherapy for DLBCL using a single database that reflects routine clinical practice among elderly patients in the United States. METHODS: By using Surveillance, Epidemiology, and End Results (SEER) data linked to Medicare, the authors identified 5484 elderly patients who were diagnosed with DLBCL between January 1999 and December 2005 who had claims through December 2007. Included patients began chemotherapy with or without rituximab within 180 days of diagnosis. Multivariate analyses were conducted to estimate the impact of rituximab on mortality and costs to Medicare. The cost per life-year gained of rituximab was calculated using cost and survival estimates from the multivariate analyses. RESULTS: The mean patient age was 76 years, 43% of patients had stage III or IV disease, and 64% received rituximab. In a Cox regression model, rituximab resulted in lower 4-year all-cause mortality (hazard ratio [HR], 0.68; 95% confidence interval [CI], 0.61-0.74) and cancer mortality, and the incremental cumulative survival was 0.37 years. In least-squares regression, rituximab resulted in higher 4-year total costs ($23,097; 95% CI, $19,129-$27,298), immunochemotherapy costs ($12,069; 95% CI, $10,687-$13,634), other cancer costs ($7655; 95% CI, $5067-$10,489), and noncancer costs ($3461; 95% CI, $1319-$5650). The cost per life-year gained was $62,424. CONCLUSIONS: In routine clinical practice, rituximab was associated with survival benefits comparable to those observed in clinical trials. However, these benefits did not translate into the previously reported cost savings.

Epidemiology and outcomes of previously undiagnosed diabetes in older women with breast cancer: an observational cohort study based on SEER-Medicare.

BACKGROUND: In breast cancer, diabetes diagnosed prior to cancer (previously diagnosed) is associated with advanced cancer stage and increased mortality. However, in the general population, 40% of diabetes is undiagnosed until glucose testing, and evidence suggests one consequence of increased evaluation and management around breast cancer diagnosis is the increased detection of previously undiagnosed diabetes. Biological factors - for instance, higher insulin levels due to untreated disease - and others underlying the association between previously diagnosed diabetes and breast cancer could differ in those whose diabetes remains undiagnosed until cancer. Our objectives were to identify factors associated with previously undiagnosed diabetes in breast cancer, and to examine associations between previously undiagnosed diabetes and cancer stage, treatment patterns, and mortality. METHODS: Using Surveillance, Epidemiology, and End Results-Medicare, we identified women diagnosed with breast cancer and diabetes between 01/2001 and 12/2005. Diabetes was classified as previously diagnosed if it was identified within Medicare claims between 24 and 4 months before cancer diagnosis, and previously undiagnosed if it was identified from 3 months before to ≤ 3 months after cancer. Patients were followed until 12/2007 or death, whichever came first. Multivariate analyses were performed to examine risk factors for previously undiagnosed diabetes and associations between undiagnosed (compared to previously diagnosed) diabetes, cancer stage, treatment, and mortality. RESULTS: Of 2,418 patients, 634 (26%) had previously undiagnosed diabetes; the remainder had previously diagnosed diabetes. The mean age was 77.8 years, and 49.4% were diagnosed with in situ or stage I disease. Age > 80 years (40% of the cohort) and limited health system contact (primary care physician and/or preventive services) prior to cancer were associated with higher adjusted odds of previously undiagnosed diabetes. Previously undiagnosed diabetes was associated with higher adjusted odds of advanced stage (III/IV) cancer (Odds Ratio = 1.37: 95% Confidence Interval (CI) 1.05 - 1.80; P = 0.02), and a higher adjusted mortality rate due to causes other than cancer (Hazard Ratio = 1.29; 95% CI 1.02 - 1.63; P = 0.03). CONCLUSIONS: In breast cancer, previously undiagnosed diabetes is associated with advanced stage cancer and increased mortality. Identifying biological factors would require further investigation.

Inverse probability weighted least squares regression in the analysis of time-censored cost data: an evaluation of the approach using SEER-Medicare.

OBJECTIVES: To assess the accuracy and precision of inverse probability weighted (IPW) least squares regression analysis for censored cost data. METHODS: By using Surveillance, Epidemiology, and End Results-Medicare, we identified 1500 breast cancer patients who died and had complete cost information within the database. Patients were followed for up to 48 months (partitions) after diagnosis, and their actual total cost was calculated in each partition. We then simulated patterns of administrative and dropout censoring and also added censoring to patients receiving chemotherapy to simulate comparing a newer to older intervention. For each censoring simulation, we performed 1000 IPW regression analyses (bootstrap, sampling with replacement), calculated the average value of each coefficient in each partition, and summed the coefficients for each regression parameter to obtain the cumulative values from 1 to 48 months. RESULTS: The cumulative, 48-month, average cost was $67,796 (95% confidence interval [CI] $58,454-$78,291) with no censoring, $66,313 (95% CI $54,975-$80,074) with administrative censoring, and $66,765 (95% CI $54,510-$81,843) with administrative plus dropout censoring. In multivariate analysis, chemotherapy was associated with increased cost of $25,325 (95% CI $17,549-$32,827) compared with $28,937 (95% CI $20,510-$37,088) with administrative censoring and $29,593 ($20,564-$39,399) with administrative plus dropout censoring. Adding censoring to the chemotherapy group resulted in less accurate IPW estimates. This was ameliorated, however, by applying IPW within treatment groups. CONCLUSION: IPW is a consistent estimator of population mean costs if the weight is correctly specified. If the censoring distribution depends on some covariates, a model that accommodates this dependency must be correctly specified in IPW to obtain accurate estimates.

Treatment patterns and outcomes in older patients with advanced malignant pleural mesothelioma: Analyses of Surveillance, Epidemiology, and End Results-Medicare data.

BACKGROUND: Malignant mesothelioma is a rare neoplasm associated with asbestos exposure. Characterizing treatment patterns and outcomes of older patients with advanced malignant pleural mesothelioma (MPM) is important to understand the unmet needs of this population. AIM: To evaluate the demographic and clinical characteristics, treatment patterns, and outcomes among older patients diagnosed with advanced MPM in the United States between 2007 and 2013. METHODS: This was a retrospective cohort study using Surveillance, Epidemiology, and End Results (SEER) data linked with Medicare claims. We included patients who were age 66 or older at the time of their primary MPM diagnosis between 2007 and 2013 and followed them through 2014. Treated patients who received first-line chemotherapy with pemetrexed and platinum within 90 days of diagnosis, second-line, or third-line therapy were identified for evaluation of outcomes. RESULTS: There were 666 older patients with advanced MPM, of whom 82% were male, 87% White, 78% stage IV, and 70% had no mobility limitation indicators at diagnosis. There were 262 patients who received first-line chemotherapy for advanced MPM, most of whom (80%; n = 209) received pemetrexed-platinum. Of these 209 patients, 41% (n = 86) initiated second-line therapy, and 26% (n = 22) initiated third-line therapy. Median overall survival for the cohort of 209 patients was 7.2 months. Patients with epithelioid histology had better median overall survival (12.2 months) compared with other histologies (4.4-5.6 months). Within 90 days of diagnosis of advanced MPM, 78% of patients were hospitalized, 52% visited an emergency department, and 21% had hospice care. The 2-year cost of care was over $100 000 for all patients with advanced MPM treated with first-line pemetrexed-platinum. CONCLUSIONS: Although first-line systemic anticancer treatment was generally consistent with guidelines (e.g., pemetrexed-platinum), poor patient outcomes highlight the need for effective treatment options for older patients with advanced MPM.

Association Between Granulocyte Colony-Stimulating Factor (G-CSF) Use and Myelodysplastic Syndrome (MDS) or Acute Myeloid Leukemia (AML) Among Elderly Patients with Breast, Lung, or Prostate Cancer.

INTRODUCTION: Patients diagnosed with cancer have an increased risk both for myelodysplastic syndromes (MDS) and for acute myeloid leukemia (AML) following treatment. METHODS: Using SEER-Medicare data, we selected patients aged 66 years and older who completed systemic therapy between 2002 and 2014 for breast (stage I-III), lung (stage I-III), or prostate (stage I-IV) cancer. For each cancer, we estimated the risk of a composite endpoint of MDS or AML in patients receiving granulocyte colony-stimulating factor (G-CSF) vs. not. RESULTS: The 10-year cumulative risk difference (granulocyte colony-stimulating factor [G-CSF] - no G-CSF) for MDS-AML was 0.45% (95% CI 0.13-0.77%) in breast cancer and 0.39% (95% CI 0.15-0.62%) in lung cancer. G-CSF use was associated with a hazard ratio of 1.60 (95% CI 1.07-2.40) in breast cancer and 1.50 (95% CI 0.99-2.29) in lung cancer. Filgrastim use was associated with a hazard ratio of 1.01 (95% CI 1.00-1.03) per administration in breast cancer and 1.02 (95% CI 0.99-1.05) per administration in lung cancer. Pegfilgrastim was associated with a hazard ratio of 1.08 (95% CI 1.01-1.15) per administration in breast cancer and 1.12 (95% CI 1.00-1.25) per administration in lung cancer. Analyses in prostate cancer were limited because of the low number of events. CONCLUSIONS: The use of G-CSF in patients diagnosed with breast and lung cancer is associated with an increased risk of MDS-AML. However, the MDS-AML absolute risk difference is very low.

Infused therapy and survival in older patients diagnosed with metastatic breast cancer who received trastuzumab.

We used Surveillance, Epidemiology, and End Results-Medicare data (2000-2006) to describe treatment and survival in women diagnosed with metastatic breast cancer (MBC) who received trastuzumab. There were 610 patients with a mean age of 74 years. Overall, 32% received trastuzumab alone and 47% received trastuzumab plus a taxane. In multivariate analysis, trastuzumab plus chemotherapy was associated with a lower adjusted cancer mortality rate (Hazard Ratio [HR] 0.54; 95% Confidence Interval [CI] 0.39-0.74; p < .001) than trastuzumab alone among patients who received trastuzumab as part of first-line therapy. Adding chemotherapy to first-line trastuzumab for metastatic breast cancer is associated with improved cancer survival.

The association of vitamin D use with hypercalcemia and hyperphosphatemia in hemodialysis patients: a case-crossover study.

PURPOSE: Elevated levels of phosphorus (P) and calcium (Ca) have been shown in observational studies to be associated with an increased risk of adverse clinical outcomes including mortality. Vitamin D sterols have been shown to increase the risk of hypercalcemia and hyperphosphatemia in clinical trials. We sought to explore these risks in real-world clinical practice. METHODS: We employed a case-crossover design, which eliminates confounding by non-time-varying patient characteristics by comparing, within each patient, vitamin D doses before the event with those at an earlier period. Using this method, we estimated the risk of hypercalcemic (Ca ≥ 11 g/dL) and hyperphosphatemic (P ≥ 8 g/dL) events for patients at different dose quartiles of vitamin D relative to patients not on a vitamin D sterol. RESULTS: There was a dose-dependent association between vitamin D dose quartile and risk of hypercalcemia or hyperphosphatemia. In adjusted analyses, each increase in vitamin D quartile was associated with a multiple of hypercalcemia risk between 1.7 and 19 times compared with those not on vitamin D and a multiple of hyperphosphatemia risk between 1.8 and 4. CONCLUSION: Use of vitamin D sterols is associated with an increased risk of hypercalcemic and hyperphosphatemic events in real-world clinical practice. Other potential predictors of these events, such as phosphate binder use and dialysate Ca levels, were not examined in this analysis.

Estimation of the increased risk associated with recurrent events or polyvascular atherosclerotic cardiovascular disease in the United Kingdom.

AIMS: The aims of this study were to re-estimate the international REduction of Atherothrombosis for Continued Health (REACH) risk equation using United Kingdom data and to distinguish different relative hazards for specific atherosclerotic cardiovascular disease event histories. METHODS AND RESULTS: Patients in the UK Clinical Research Practice Datalink (CPRD) were included as of 1 January 2005 if they were 40 years or older, had 2 or more years of prior data, received one or more moderate or high-intensity statin in the previous year, and had a history of myocardial infarction, ischemic stroke, or other atherosclerotic cardiovascular disease. Patients were followed until a composite endpoint of myocardial infarction, ischemic stroke or cardiovascular death, loss to follow-up, or end of observation. We re-estimated the REACH risk equation hazard ratios (HRs) using CPRD data (re-estimated REACH model). Our event history model replaced the REACH vascular bed variables with more specific event histories. There were 60,838 patients with 5.25 years of mean follow-up. In the validation model, HRs were in the same direction, and generally greater than REACH. In the event history model, HRs compared to other atherosclerotic cardiovascular disease alone included: recurrent myocardial infarction (HR 1.19, 95% confidence interval (CI) 1.05-1.34), recurrent ischemic stroke (HR 1.36, 95% CI 1.03-1.80), myocardial infarction and other atherosclerotic cardiovascular disease (HR 1.31, 95% CI 1.23-1.38), ischemic stroke and other atherosclerotic cardiovascular disease (HR 1.40, 95% CI 1.23-1.60), myocardial infarction and ischemic stroke (HR 1.94, 95% CI 1.23-3.04), and myocardial infarction, ischemic stroke and other atherosclerotic cardiovascular disease (HR 1.93, 95% CI 1.47-2.54). CONCLUSION: A detailed cardiovascular event history may be useful for estimating the relative risk of future cardiovascular events.

Fibroblast growth factor 23 as a risk factor for cardiovascular events and mortality in patients in the EVOLVE trial.

INTRODUCTION: High mortality rates in patients with chronic kidney disease-mineral and bone disorder (CKD-MBD) receiving maintenance hemodialysis are largely due to cardiovascular (CV) events. METHODS: We evaluated associations between MBD parameters, fibroblast growth factor 23 (FGF23) concentrations, and clinically adjudicated CV events from the Evaluation of Cinacalcet Hydrochloride Therapy to Lower Cardiovascular Events (EVOLVE) trial. Patients enrolled in EVOLVE, who had not experienced any study endpoints between randomization and week 20 with evaluable baseline and week 20 values for key laboratory parameters (parathyroid hormone, calcium, phosphate, and FGF23), were assessed. We used adjusted Cox proportional hazards regression models to estimate relative risk of outcomes (primary composite, all-cause mortality, and CV events) based on FGF23 and MBD parameters. Laboratory values were modeled with linear terms and using natural cubic splines with two degrees of freedom. FINDINGS: For the primary endpoint, patients assessed (N = 2309) were followed up over a mean duration of 3.1 years, during which 1037 CV events (497 deaths, 540 nonfatal events) occurred. Adjusted models showed an association between FGF23 and the risk of CV events. Hazard ratio per log unit of FGF23 at week 20 was 1.09 [95% CI: 1.03-1.16], and the hazard ratio per log unit change in FGF23 from week 0 to week 20 was 1.09 [95% CI: 1.00-1.17]. DISCUSSION: Our data highlight FGF23 as an independent CV risk factor and potential biomarker and therapeutic target for patients with CKD-MBD receiving maintenance hemodialysis.

Cost and mortality associated with hospitalizations in patients with immune thrombocytopenic purpura.

Immune thrombocytopenic purpura (ITP) is associated with low platelet counts and, consequently, a high risk of adverse events leading to hospitalization. However, there are few data on the clinical and economic burden of hospitalizations for ITP. The Nationwide Inpatient Sample (NIS) database of discharges, a stratified 20% sample of all United States (US) community hospitals across all payers, was used to evaluate discharges in ITP patients. We developed nationally representative numbers of discharges in ITP patients from 2003 to 2006 based on diagnosis codes. Using appropriate weights for each NIS discharge, we created national estimates of average cost, length of stay, and in-hospital mortality for specific groups of ITP-related hospitalizations. Approximately 129,000 discharges occurred between 2003 and 2006 in ITP patients. The average cost associated with all discharges in 2008 dollars was 16,476, with a 6.4-day length of stay and in-hospital mortality of 3.8%. In contrast, the average cost of all hospitalizations in the US population during the same period was 10,039, the average length of stay was 4.8 days, and in-hospital mortality was 2.5%. Mortality risk was higher for ITP patients than for the standard US population adjusted for age and gender, with a relative mortality ratio of 1.5 (95% CI: 1.4-1.6). On the basis of a nationally representative sample of US discharge records from 2003 to 2006, hospitalization with ITP represents an economically and clinically important event. ITP was associated with higher costs, longer stays, and more in-hospital deaths on average than all other hospitalized patients combined.