Dataset Information

Years of optimum health lost due to complications after acute ischemic stroke: disability-adjusted life-years analysis.

ABSTRACT: Complications after stroke increase disability or death. The disability-adjusted life-year (DALY) metric, developed by the World Health Organization to measure the global burden of disease, integrates both mortality and disability. Widely used in population-level data analyses, it has not been applied to individual patient-level data captured in outcome registries.We analyzed patient-level data from the outcome registry of 1254 consecutive patients with acute ischemic stroke enrolled between September 1, 2004, and August 31, 2005, in South Korea. For each subject, we calculated DALY lost due to the qualifying stroke and then analyzed additional DALY lost due to complications after stroke.For 1233 patients with available 3-month outcomes, the average DALY lost due to the index stroke was 3.82 (95% CI, 3.68 to 3.96). Any complications, neurological complications, and medical complications occurred in 34.0%, 20.8%, and 24.0%, respectively. The additional DALYs lost associated with any, neurological, and medical complications were 2.11 (95% CI, 1.78 to 2.44), 2.15 (95% CI, 1.72 to 2.59), and 1.99 (95% CI, 1.59 to 2.40), respectively. Patients with 1 complication had 1.52 (95% CI, 1.15 to 1.89) additional DALY lost, and those with >or=2 complications had 2.69 (95% CI, 2.18 to 3.20) additional DALY lost.Early poststroke complications deprive patients of approximately 2 years of optimum health. Greater numbers of complications are associated with greater loss of healthy life-years. DALY analysis quantifies the burden of poststroke complications with a uniform metric potentially useful for health system planners.

SUBMITTER: Hong KS

PROVIDER: S-EPMC2937160 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Years of optimum health lost due to complications after acute ischemic stroke: disability-adjusted life-years analysis.

Hong Keun-Sik KS Saver Jeffrey L JL Kang Dong-Wha DW Bae Hee-Joon HJ Yu Kyung-Ho KH Koo Jaseong J Han Moon-Ku MK Cho Yong-Jin YJ Park Jong-Moo JM Lee Byung-Chul BC

Stroke 20100701 8

<h4>Background and purpose</h4>Complications after stroke increase disability or death. The disability-adjusted life-year (DALY) metric, developed by the World Health Organization to measure the global burden of disease, integrates both mortality and disability. Widely used in population-level data analyses, it has not been applied to individual patient-level data captured in outcome registries.<h4>Methods</h4>We analyzed patient-level data from the outcome registry of 1254 consecutive patients ...[more]

PMID: 20595674

Similar Datasets

Project description:Background: Ischaemic stroke remains a significant contributor to permanent disability world-wide. Therapeutic interventions for acute ischaemic stroke (AIS) are available, but need to be administered early after symptom onset in order to be effective. Currently, one of the main factors responsible for poor clinical outcome is an unnecessary long time between symptom onset and arrival at a hospital (pre-hospital delay). In the future, technological devices with the capability of real-time detection of AIS may become available. The health economic implications of such devices have not been explored. Methods: We developed a novel probabilistic model to estimate the maximally allowable annual costs of different hypothetical real-time AIS detection devices in different populations given currently accepted willingness-to-pay thresholds. Distributions of model parameters were extracted from the literature. Effectiveness of the intervention was quantified as reduction in disability-adjusted life-years associated with faster access to thrombolysis and mechanical thrombectomy. Incremental costs were calculated from a societal perspective including acute treatment costs and long-term costs for nursing care, home help, and loss of production. The impact of individual model parameters was explored in one-way and multi-way sensitivity analyses. Results: The model yields significantly shorter prehospital delays and a higher proportion of acute ischaemic patients that fulfill the time-based eligibility criteria for thrombolysis or mechanical thrombectomy in the scenario with a real-time stroke detection device as compared to the control scenario. Depending on the sociodemographic and geographic characteristics of the study population and operating characteristics of the device, the maximally allowable annual cost for the device to operate in a cost-effective manner assuming a willingness-to-pay threshold of GBP 30.000 ranges from GBP 22.00 to GBP 9,952.00. Considering the results of multiway sensitivity analyses, the upper bound increases to GBP 29,449.10 in the subgroup of young patients with a very high annual risk of ischaemic stroke (50 years/20% annual risk). Conclusion: Data from probabilistic modeling suggest that real-time AIS detection devices can be expected to be cost-effective only for a small group of highly selected individuals.

Project description:BackgroundTo understand the magnitude and spatial-temporal distribution of the regional burden attributable to severe mental disorders is of great essential and high policy relevance. The study aimed to address the burden of severe mental disorders by evaluating the years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) in Guangdong, China.MethodsWe undertook a longitudinal study based on a multicenter database established by the Health Commission of Guangdong, involving a total of 21 prefectures and four economic regions in the Guangdong province. A total of 520,731 medical records from patients with severe mental disorders were collected for 2010-2020. Data were analyzed via an integrated evaluation framework by synthesizing prevalence estimates, epidemiological adjustment as well as comorbidity assessment to develop internally consistent estimates of DALY. DALY changes during 2010-2020 were decomposed by population growth and aging and further grouped by Socio-demographic Index (SDI). DALYs were projected to 2030 by the weighted median annualized rate of change in 2010-2020.ResultsIn 2010-2020, the average DALYs for severe mental disorders reached 798,474 (95% uncertainty interval [UI]: 536,280-1,270,465) person-years (52.2% for males, and 47.8% for females). Severe mental disorders led to a great amount of disease burden, especially in Guangzhou, Shenzhen, and Foshan cities. Schizophrenia and mental retardation with mental disorders were the two leading sources of the burden ascribed to severe mental disorders. Population growth and aging could be accountable for the increasing burden of severe mental disorders. Economic regions with higher SDI carried a greater burden but had lower annualized rates of change in DALYs. The overall burden of severe mental disorders is projected to rise modestly over the next decade.ConclusionsThe findings urge prioritization of initiatives focused on public mental health, prevention strategies, health resources reallocation, and active involvement of authorities to effectively address the anticipated needs.

Project description:Aims/hypothesisType 2 diabetes can lead to reduced productivity during working age. We aimed to estimate productive life years lost associated with type 2 diabetes on the individual and population level in Germany in 2020 and 2040, while accounting for future trends in mortality.MethodsBased on a mathematical projection model, we estimated age- and sex-specific productivity losses associated with type 2 diabetes during working age (20-69 years) in Germany in 2020 and 2040. Productivity losses in terms of excess mortality (years of life lost, YLL) and reductions in labour force participation, presenteeism and absenteeism (years of productivity lost, YPL) were summed to calculate productivity-adjusted life years (PALY) lost. Input data for the projection were based on meta-analyses, representative population-based studies and population projections to account for future trends in mortality.ResultsCompared with a person without type 2 diabetes, mean PALY lost per person with type 2 diabetes in 2020 was 2.6 years (95% CI 2.3, 3.0). Of these 2.6 years, 0.4 (95% CI 0.3, 0.4) years were lost due to YLL and 2.3 (95% CI 1.9, 2.6) years were lost due to YPL. Age- and sex-specific results show that younger age groups and women are expected to lose more productive life years than older age groups and men. Population-wide estimates suggest that 4.60 (95% CI 4.58, 4.63) million people with prevalent type 2 diabetes in 2020 are expected to lose 12.06 (95% CI 10.42, 13.76) million PALY (1.62 million years due to YLL and 10.44 million years due to YPL). In 2040, individual-level PALY lost are projected to slightly decrease due to reductions in YLL. In contrast, population-wide PALY lost are projected to increase to 15.39 (95% CI 13.19, 17.64) million due to an increase in the number of people with type 2 diabetes to 5.45 (95% CI 5.41, 5.50) million.Conclusions/interpretationOn the population level, a substantial increase in productivity burden associated with type 2 diabetes was projected for Germany between 2020 and 2040. Efforts to reduce the incidence rate of type 2 diabetes and diabetes-related complications may attenuate this increase.

Project description:BackgroundTaenia solium is the most significant global foodborne parasite and the leading cause of preventable human epilepsy in low and middle-income countries in the form of neurocysticercosis.ObjectivesThis scoping review aimed to examine the methodology of peer-reviewed studies that estimate the burden of T. solium using disability-adjusted life years.Eligibility criteriaStudies must have calculated disability-adjusted life years relating to T. solium.Charting methodsThe review process was managed by a single reviewer using Rayyan. Published data relating to disease models, data sources, disability-adjusted life years, sensitivity, uncertainty, missing data, and key limitations were collected.Results15 studies were included for review, with seven global and eight national or sub-national estimates. Studies primarily employed attributional disease models that relied on measuring the occurrence of epilepsy before applying an attributable fraction to estimate the occurrence of neurocysticercosis-associated epilepsy. This method relies heavily on the extrapolation of observational studies across populations and time periods; however, it is currently required due to the difficulties in diagnosing neurocysticercosis. Studies discussed that a lack of data was a key limitation and their results likely underestimate the true burden of T. solium. Methods to calculate disability-adjusted life years varied across studies with differences in approaches to time discounting, age weighting, years of life lost, and years of life lived with disability. Such differences limit the ability to compare estimates between studies.ConclusionsThis review illustrates the complexities associated with T. solium burden of disease studies and highlights the potential need for a burden of disease reporting framework. The burden of T. solium is likely underestimated due to the challenges in diagnosing neurocysticercosis and a lack of available data. Advancement in diagnostics, further observational studies, and new approaches to parameterising disease models are required if estimates are to improve.

Dataset Information

Years of optimum health lost due to complications after acute ischemic stroke: disability-adjusted life-years analysis.

Publications

Years of optimum health lost due to complications after acute ischemic stroke: disability-adjusted life-years analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets