Wing Chan

Patient Decision to Initiate Therapy for Osteoporosis: The Influence of Knowledge and Beliefs

BackgroundThere are effective treatments to prevent osteoporotic fractures, but these treatments are underutilized.ObjectiveTo evaluate the influence of patient characteristics, perceptions, knowledge and beliefs about osteoporosis on the decision to initiate osteoporotic treatment.ParticipantsWe identified female members of a managed care plan who had a dual energy x-ray absorptiometry (DXA) bone density test and fulfilled World Health Organization criteria for osteoporosis. Patients were excluded if they received osteoporotic medications in the prior 6 months.MeasurementsPatients were sent a questionnaire that included items assessing satisfaction with physician–patient communication, trust in the physician, osteoporosis knowledge and beliefs, beliefs about prescription medications, and perceptions of barriers to medication use. Administrative electronic health records were used to identify prescription drug use and health care utilization.ResultsTwo hundred and thirty-six women returned surveys and research authorization forms out of 465 contacted for participation. One hundred and thirty-five (57.2%) filled a prescription for an osteoporotic drug in the first 3 months after the DXA exam. The largest differences between initiators and non-initiators were in beliefs in the benefits of medications, and distrust of medications, with initiators believing more strongly in the benefits and effectiveness of medications (p < .001), and non-initiators reporting more distrust of medications (p < .001). Osteoporosis knowledge and the belief that osteoporosis is a serious disease were also related to therapy initiation in bivariate analysis.ConclusionsOnly 57% of patients initiated osteoporotic medication within 3 months of diagnosis. The decision to start osteoporosis treatment appeared to be related to a patient’s beliefs in the effectiveness of osteoporosis medications and distrust of medications.

Cost-effectiveness Analysis of Sacubitril/Valsartan vs Enalapril in Patients With Heart Failure and Reduced Ejection Fraction

IMPORTANCE The angiotensin receptor neprilysin inhibitor sacubitril/valsartan was associated with a reduction in cardiovascular mortality, all-cause mortality, and hospitalizations compared with enalapril. Sacubitril/valsartan has been approved for use in heart failure (HF) with reduced ejection fraction in the United States and cost has been suggested as 1 factor that will influence the use of this agent. OBJECTIVE To estimate the cost-effectiveness of sacubitril/valsartan vs enalapril in the United States. DESIGN, SETTING, AND PARTICIPANTS Data from US adults (mean [SD] age, 63.8 [11.5] years) with HF with reduced ejection fraction and characteristics similar to those in the PARADIGM-HF trial were used as inputs for a 2-state Markov model simulated HF. Risks of all-cause mortality and hospitalization from HF or other reasons were estimated with a 30-year time horizon. Quality of life was based on trial EQ-5D scores. Hospital costs combined Medicare and private insurance reimbursement rates; medication costs included the wholesale acquisition cost for sacubitril/valsartan and enalapril. A discount rate of 3% was used. Sensitivity analyses were performed on key inputs including: hospital costs, mortality benefit, hazard ratio for hospitalization reduction, drug costs, and quality-of-life estimates. MAIN OUTCOMES AND MEASURES Hospitalizations, quality-adjusted life-years (QALYs), costs, and incremental costs per QALY gained. RESULTS The 2-state Markov model of US adult patients (mean age, 63.8 years) calculated that there would be 220 fewer hospital admissions per 1000 patients with HF treated with sacubitril/valsartan vs enalapril over 30 years. The incremental costs and QALYs gained with sacubitril/valsartan treatment were estimated at

Bone density consequences of initiation and compliance with therapy for osteoporosis

35 512 and 0.78, respectively, compared with enalapril, equating to an incremental cost-effectiveness ratio (ICER) of

Association between cardiac, renal, and hepatic biomarkers and outcomes in patients with acute heart failure

45 017 per QALY for the base-case. Sensitivity analyses demonstrated ICERs ranging from

Evaluation of mortality and readmissions following hospitalization with heart failure

35 357 to

The economic and humanistic burden of patients in receipt of current available therapies for nAMD

75 301 per QALY. CONCLUSIONS AND RELEVANCE For eligible patients with HF with reduced ejection fraction, the Markov model calculated that sacubitril/valsartan would increase life expectancy at an ICER consistent with other high-value accepted cardiovascular interventions. Sensitivity analyses demonstrated sacubitril/valsartan would remain cost-effective vs enalapril.

HEART FAILURE WITH REDUCED EJECTION FRACTION CARE PATTERNS IN THE OUTPATIENT PRACTICE SETTING: INITIAL FINDINGS FROM CHAMP-HF

There are many effective osteoporosis (OP) medications with a variety of dosing intervals and delivery options, but even when diagnosed, OP is often undertreated. We sought to determine the bone density consequences of the decision to initiate and comply with therapy for OP.

ASSOCIATION BETWEEN CARDIAC, INFLAMMATORY, RENAL, AND HEPATIC BIOMARKERS AND OUTCOMES IN PATIENTS WITH A HEART FAILURE HOSPITALIZATION

ABSTRACT Objectives: Myocardial injury, worsening renal function, and hepatic impairment are independent risk factors for poor patient acute heart failure (AHF) outcomes. Biomarkers of organ damage may be useful in identifying patients at risk for poor outcomes. The objective of this analysis was to assess the relationship between abnormal AHF biomarkers and outcomes in AHF patients. Methods: AHF admissions (N = 104,794) data from the Cerner Health Facts® inpatient database were analyzed retrospectively. Multivariate predictive models determined the impact of biomarkers on mortality, readmission, length of stay (LOS), and cost from index admission through 180 days post discharge. Thirty and 60 day time windows are reported but 180 day results were consistent with 60 day outcomes. Biomarkers evaluated were aspartate transaminase (AST), estimated glomerular filtration rate (eGFR), high sensitivity cardiac troponin, bilirubin, alanine transaminase (ALT), sodium, high sensitivity C-reactive protein (hs-CRP), uric acid, B-type natriuretic peptide (BNP), NT-ProBNP, blood urea nitrogen (BUN), serum creatinine (SCr), and hemoglobin. Results: All biomarkers evaluated except hs-CRP, uric acid, and NT-ProBNP were significant (p < 0.0001) predictors of mortality at all timepoints; non-significance for these 3 biomarkers is likely due to low patient counts (1%–2%). Odds ratios for significant biomarkers of mortality ranged from 1.168–2.076 at index admission, 1.205–1.946 at 30 days post-discharge, and 1.233–1.991 at 60 days post-discharge. AST, eGFR, troponin, ALT, BNP, BUN, SCr, and hemoglobin were significant (p < 0.0001) predictors of readmission risk at all timepoints. AST, eGFR, troponin, bilirubin, BUN, SCr, and hemoglobin were significant (p < 0.0001) predictors of cumulative LOS at all timepoints. AST, eGFR, troponin, ALT, sodium, BUN, and hemoglogin were significant (p < 0.0001) cost predictors at 30 and 60 days post-discharge. Conclusions: Renal function measures were associated with outcomes in patients hospitalized for AHF. Increased vigilance of renal biomarkers may be warranted to assess risk and promote proactive clinical management to improve outcomes.

Relation of Acute Heart Failure Hospital Length of Stay to Subsequent Readmission and All-Cause Mortality

Abstract Objective: To examine the association of patient/clinical characteristics with mortality and readmission following a heart failure (HF)-related hospitalization. Research design and methods: Claims data, linked to laboratory, race/ethnicity, and mortality data, from a large US health plan were utilized to identify individuals with ≥1 inpatient claim with a diagnosis code for HF (1 January 2008–30 September 2012). Study variables were analyzed using descriptive and multivariable approaches to identify patient/clinical characteristics associated with post-discharge outcomes. Main outcome measures: Primary outcomes included post-discharge mortality and readmission. Results: A total of 126,214 individuals were identified with a HF-related hospitalization; 19.1% with data to calculate chronic kidney disease (CKD) stage. For the overall sample, mortality probability was 4.9% and 13.4% at 1 and 6 months post-discharge, respectively (4.5% and 12.4% for subset with calculated CKD stage), while readmission (all-cause) probability was 14.8% and 39.6% at 1 and 6 months post-discharge, respectively (18.4% and 44.5% for subset with calculated CKD stage). Within the subset with calculated CKD stage, mortality and readmission probabilities differed by CKD stage (p < 0.001), with decreased renal function corresponding with increased risk of mortality and readmission. After multivariable adjustment, increasing age was associated with increased risk of mortality, while advancing CKD stage, various index hospitalization variables (i.e., pre-admission emergency room visit, intensive care unit during hospitalization), and baseline all-cause hospitalization were associated with both increased risk of mortality and all-cause 1 month readmission. Conclusions: Calculated CKD, various index hospitalization variables, and baseline all-cause hospitalization were associated with increased risk of mortality and all-cause 1 month readmission among patients hospitalized with HF. Risk of post-discharge readmission and mortality increased with worse renal function, suggesting that improved management of this subset may reduce the burden and cost of this disease. Key study limitations include those related to retrospective claims-based studies and that renal function data were available for a subset of study patients.

Comparison of Risk of Re-hospitalization, All-Cause Mortality, and Medical Care Resource Utilization in Patients With Heart Failure and Preserved Versus Reduced Ejection Fraction.

AIM To determine the economic and humanistic burden of neovascular age-related macular degeneration (nAMD) in a cohort of patients treated with anti-VEGF in Europe and the US. PATIENTS & METHODS 79 respondents from the EU and 63 from the US with a self-reported diagnosis of nAMD and in current receipt of treatment, as reported in an international, general population survey, were compared with non-nAMD controls. RESULTS Anti-VEGF-treated nAMD patients in the EU had a greater utilization of healthcare resources, poorer quality of life and greater overall activity impairment versus non-nAMD controls. In the US cohort, treated nAMD patients had significantly greater resource utilization for ophthalmologist visits only. CONCLUSION The burden of care associated with nAMD on EU and US healthcare systems, and on patients who are in receipt of nAMD therapy, is significant and likely to be unsustainable.