Predicted clinical and economic burden associated with reduction in access to acute coronary interventional care during the COVID-19 lockdown in two European countries.

AIMS: As a consequence of untimely or missed revascularization of ST-elevation myocardial infarction (STEMI) patients during the COVID-19 pandemic, many patients died at home or survived with serious sequelae, resulting in potential long-term worse prognosis and related health-economic implications.This analysis sought to predict long-term health outcomes [survival and quality-adjusted life-years (QALYs)] and cost of reduced treatment of STEMIs occurring during the first COVID-19 lockdown. METHODS AND RESULTS: Using a Markov decision-analytic model, we incorporated probability of hospitalization, timeliness of PCI, and projected long-term survival and cost (including societal costs) of mortality and morbidity, for STEMI occurring during the first UK and Spanish lockdowns, comparing them with expected pre-lockdown outcomes for an equivalent patient group.STEMI patients during the first UK lockdown were predicted to lose an average of 1.55 life-years and 1.17 QALYs compared with patients presenting with a STEMI pre-pandemic. Based on an annual STEMI incidence of 49 332 cases, the total additional lifetime costs calculated at the population level were £36.6 million (€41.3 million), mainly driven by costs of work absenteeism. Similarly in Spain, STEMI patients during the lockdown were expected to survive 2.03 years less than pre-pandemic patients, with a corresponding reduction in projected QALYs (-1.63). At the population level, reduced PCI access would lead to additional costs of €88.6 million. CONCLUSION: The effect of a 1-month lockdown on STEMI treatment led to a reduction in survival and QALYs compared to the pre-pandemic era. Moreover, in working-age patients, untimely revascularization led to adverse prognosis, affecting societal productivity and therefore considerably increasing societal costs.

Parkinson's disease with early motor complications: predicting EQ-5D- 3L utilities from PDQ-39 data in the EARLYSTIM trial.

BACKGROUND: A utility value is a health-related quality of life metric (HRQoL) metric used in a cost-effectiveness analysis. While utilities as outcomes in the treatment of advanced Parkinson's disease (PD) with deep brain stimulation (DBS) are available, they do not currently exist for PD with early motor complications. The objectives of this study were to predict utilities from observed disease-specific HRQoL data using two mapping algorithms, and investigate their performance in terms of longitudinal changes within and between treatment groups, and distribution by PD severity. METHODS: This is a post hoc analysis of data from the EARLYSTIM trial of DBS compared with best medical therapy (BMT) in PD patients with early motor complications We used two published algorithms comprising ordinal and multinomial regression models to map EQ-5D-3L utilities from observed PD-specific 39 item Questionnaire (PDQ-39) scores in EARLYSTIM. Utilities were calculated using the predicted functioning levels of EQ-5D-3L dimensions and the established EQ-5D-3L UK tariffs. Statistical analyses (analysis of variance, two-tailed Student's t-test) were used to test the change from baseline within groups and difference in change from baseline between groups in utilities. Boxplots were developed to investigate the distribution of predicted utilities by PD severity, measured using the Hoehn and Yahr scale. RESULTS: The change from baseline in predicted mean utilities was statistically significant at all visits up to 24 months for the DBS group (p < 0.001) with both algorithms, and statistically significant at 12 months only (p = 0.04) for the BMT group with one algorithm. With both algorithms, the between-groups difference in change from baseline in predicted mean utilities favored DBS at all follow-up visits (p < 0.001). Based on the Hoehn and Yahr scale, predicted utilities deteriorated with increasing disease severity. CONCLUSIONS: Among PD patients with early motor complications, utilities predicted by both mapping algorithms using PDQ-39 data demonstrated a statistically and clinically meaningful improvement with DBS compared with BMT. It was not possible to conclude if one algorithm was more responsive than other. In the absence of utilities collected directly from patients, mapping is an acceptable option permitting economic evaluations to be undertaken.

Short- and long-term cost and utilization of health care resources in Parkinson's disease in the UK.

BACKGROUND: There is currently no robust long-term data on costs of treating patients with Parkinson's disease. The objective of this study was to report levels of health care utilization and associated costs in the 10 years after diagnosis among PD patients in the United Kingdom. METHODS: We undertook a retrospective population-based cohort study using linked data from the UK Clinical Practice Research Datalink and Hospital Episode Statistics databases. Total health care costs of PD patients were compared with those of a control group of patients without PD selected using 1:1 propensity score matching based on age, sex, and comorbidity. RESULTS: Between 1994 and 2013, 7271 PD patients who met study inclusion criteria were identified in linked Clinical Practice Research Datalink-Hospital Episode Statistics; 7060 were matched with controls. The mean annual health care cost difference (at 2013 costs) between PD patients and controls was £2471 (US$3716) per patient in the first year postdiagnosis (P < 0.001), increasing to £4004 (US$6021) per patient (P < 0.001) 10 years following diagnosis because of higher levels of use across all categories of health care utilization. Costs in patients with markers of advanced PD (ie, presence of levodopa-equivalent daily dose > 1100 mg, dyskinesias, falls, dementia, psychosis, hospital admission primarily due to PD, or nursing home placement) were on average higher by £1069 (US$1608) per patient than those with PD without these markers. CONCLUSIONS: This study provides comprehensive estimates of health care costs in PD patients based on routinely collected data. Health care costs attributable to PD increase in the year following diagnosis and are higher for patients with indicators of advanced disease. © 2018 International Parkinson and Movement Disorder Society.