Dataset Information

Menopausal symptoms and risk of heart failure: a retrospective analysis from Taiwan National Health Insurance Database.

ABSTRACT:

Aims

Women with menopausal symptoms show evidence of accelerated epigenetic ageing, vascular aging and low-grade systemic inflammation status. However, data are limited regarding menopausal symptoms and risk of heart failure (HF). We aimed to explore the impact of menopausal symptoms on risk of HF.

Methods

We included 14 340 symptomatic menopausal women without a history of coronary heart disease (CHD) or HF from the Taiwan National Health Insurance Research Database as the experimental cohort. We included 14 340 asymptomatic women matched for age and comorbidities as controls. We surveyed possible comorbidity-attributable risks of HF and assessed whether menopausal symptoms play a role in risk of HF. Additional analyses were conducted to ascertain the association of CHD and HF in different risk factor burdens categories in both cohorts and CHD was applied as a sensitivity analysis.

Results

The incidence of HF was not significantly lower in the experimental than in the control cohort (4.87 vs. 5.06 per 1000 person-years, P = 0.336). Participants with a higher comorbidity burden had a proportionally increased risk of HF and CHD in both cohorts. The burden of risk factors had a greater impact on risk of HF in the control than in the experimental cohort (≥five risk factors, adjusted hazard ratio 25.69 vs. 14.75). Participants undergoing hormone therapy had no significant effect on the risk of HF, regardless of the presence or absence of menopausal symptoms. Subgroup analysis revealed that compared with the control cohort, the risk of HF in the experimental cohort did not increase significantly in all subgroups.

Conclusions

Menopausal symptoms were associated with CHD risk but not with risk of HF. Traditional risk factors rather than menopausal symptoms play important roles in the HF risk among middle-aged women.

SUBMITTER: Huang CH

PROVIDER: S-EPMC8318496 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:ObjectiveStatins have been commonly used to treat patients with hypercholesterolaemia and to prevent cardiovascular disease (CVD) worldwide. This study examined trends in use of statins in Taiwan from 2002 to 2011.DesignThis is a retrospective observational study focusing on the utilisation of statins.SettingThe monthly claims data for statins between 2002 and 2011 were retrieved from Taiwan's National Health Insurance Research Database.Main outcome measuresWe calculated the yearly prescription rate per new user for each statin. Products were classified as high-intensity/moderate-intensity/low-intensity statins by type of statin and dosage. Users were also classified based on disease histories.ResultsThe number of statin users increased from 10 299 (~1.4% of adults) in 2002 to 50 687 (~6.3% of adults) in 2011. Atorvastatin was the most commonly used agent (28.4%-36.7%) during the study period. After 2007, simvastatin ranked second with 21.7% market share, followed by rosuvastatin, a newer agent that exhibited a substantial growth in prescription rates (3.4% in 2005 and 19.5% in 2011). In 2011, 94.0% of new statin users used statin monotherapies, and 6.0% used combination therapies. Use of moderate-intensity statins increased from 49.0% in 2002 to 71.0% in 2011, while high-intensity statins remained low. Patients with history of coronary events or cerebrovascular events were more likely to be prescribed higher intensity statins compared with those without. Prescribing of higher intensity statins was not greater among people with diabetes compared with those without during 2007-2011. Selection of statins did not differ between people with versus without history of myopathy or liver injury.ConclusionAtorvastatin was the most commonly used statin in Taiwan during 2002-2011. While patients with history of CVD were more likely to be prescribed higher intensity statins compared with those without, this difference was not found comparing those with and without diabetes.

Project description:BackgroundPatients with heart failure (HF) are the most commonly readmitted group of adult patients in Germany. Most patients with HF are readmitted for noncardiovascular reasons. Understanding the relevance of HF management outside the hospital setting is critical to understanding HF and factors that lead to readmission. Application of machine learning (ML) on data from statutory health insurance (SHI) allows the evaluation of large longitudinal data sets representative of the general population to support clinical decision-making.ObjectiveThis study aims to evaluate the ability of ML methods to predict 1-year all-cause and HF-specific readmission after initial HF-related admission of patients with HF in outpatient SHI data and identify important predictors.MethodsWe identified individuals with HF using outpatient data from 2012 to 2018 from the AOK Baden-Württemberg SHI in Germany. We then trained and applied regression and ML algorithms to predict the first all-cause and HF-specific readmission in the year after the first admission for HF. We fitted a random forest, an elastic net, a stepwise regression, and a logistic regression to predict readmission by using diagnosis codes, drug exposures, demographics (age, sex, nationality, and type of coverage within SHI), degree of rurality for residence, and participation in disease management programs for common chronic conditions (diabetes mellitus type 1 and 2, breast cancer, chronic obstructive pulmonary disease, and coronary heart disease). We then evaluated the predictors of HF readmission according to their importance and direction to predict readmission.ResultsOur final data set consisted of 97,529 individuals with HF, and 78,044 (80%) were readmitted within the observation period. Of the tested modeling approaches, the random forest approach best predicted 1-year all-cause and HF-specific readmission with a C-statistic of 0.68 and 0.69, respectively. Important predictors for 1-year all-cause readmission included prescription of pantoprazole, chronic obstructive pulmonary disease, atherosclerosis, sex, rurality, and participation in disease management programs for type 2 diabetes mellitus and coronary heart disease. Relevant features for HF-specific readmission included a large number of canonical HF comorbidities.ConclusionsWhile many of the predictors we identified were known to be relevant comorbidities for HF, we also uncovered several novel associations. Disease management programs have widely been shown to be effective at managing chronic disease; however, our results indicate that in the short term they may be useful for targeting patients with HF with comorbidity at increased risk of readmission. Our results also show that living in a more rural location increases the risk of readmission. Overall, factors beyond comorbid disease were relevant for risk of HF readmission. This finding may impact how outpatient physicians identify and monitor patients at risk of HF readmission.

Project description:BackgroundCancer is a major cause of global morbidity and mortality. Since a high prevalence of functional impairments has been observed among cancer patients, rehabilitation has been proposed as a strategy to restore patients' functional independence. The increasing number of cancer patients combined with a growing need for rehabilitation may result in increased utilization of rehabilitation services. This study aimed to investigate the utilization of rehabilitation services among hospitalized cancer patients in Taiwan between 2004 and 2008.MethodsAnnual admissions and total inpatient expenditures for admissions with a cancer diagnosis were calculated from the National Health Insurance Research Database (NHIRD). Rehabilitation services used by cancer and non-cancer patients, as well as the distributions of rehabilitation service type among the different hospital departments were also analyzed.ResultsThe percentages of inpatient admissions with a cancer diagnosis increased from 14.01% to 17.1% between 2004 and 2008. During 2004, 5.25% of all inpatient admissions received rehabilitation services; this percentage increased to 5.62% by 2008. Among cancer admissions, 2.26% to 2.62% received rehabilitation services from 2004 to 2008. By comparison, 5.68% to 6.24% of non-cancer admissions received rehabilitation services during this period. Of the admissions who received rehabilitation services, only 6.44% and 7.96% had a cancer diagnosis in 2004 and 2008, respectively. Sixty-one percent of rehabilitation services were delivered in the departments of orthopedics (25.6%), neurology (14.4%), rehabilitation (11.9%), and neurosurgery (9.2%).ConclusionsIn Taiwan, the utilization of rehabilitation services during hospitalization increased from 2004 to 2008. Although this trend was noted for cancer and non-cancer admissions, the utilization of rehabilitation services was generally greater by non-cancer admissions. Despite the benefits of rehabilitation, the actual rehabilitation needs of cancer patients remain unmet.

Project description:ObjectivesDementia is common in people over the age of 65 years, with 80% of people with dementia older than 75 years. Previous studies have linked dementia to late-life depression, but the association between dementia and mid-life depression is poorly understood. Depression is a preventable and treatable medical condition, which means it is a modifiable factor that can potentially prevent or delay dementia. This study aimed to identify the association between dementia and depression within the life course.DesignA nationwide, retrospective propensity score matched cohort study associating dementia with depression. Depression diagnosed between the ages of 45 and 64 years was classified as 'mid-life' and 'late-life' if diagnosed at 65 years or older. Patients were considered to have depression when one or more International Statistical Classification of Diseases and Related Health Problems, 10th revision codes for depression were recorded as primary or secondary diagnosis.SettingNational Health Insurance Service-National Sample Cohort database of the National Health Insurance Service in South Korea, containing patient data from 2002 to 2013.ParticipantsThe study included 1824 and 374 852 patients in the case and control groups, respectively. A logistic regression analysis with complex sampling design was performed after adjusting for covariates, using the propensity score matching method without callipers, with a 1:1 nearest neighbour matching algorithm.Primary and secondary outcome measuresThe association of mid-onset and late-onset depression with dementia in terms of sociodemographic characteristics, such as sex and age, within the Korean population.ResultsDementia was significantly associated with the presence of depression (OR=2.20, 95% CI=1.53-3.14); in particular, female patients with depression and patients aged 45-64 years with depression had increased odds of dementia (OR=2.65, 95% CI=1.78-3.93 and OR=2.72, 95% CI=1.41-5.24, respectively) CONCLUSION: Depression is an associated factor for dementia, especially among people aged 45-64 years (mid-life).