scholarly journals The effect of statin treatment on survival and on the use of healthcare resources among patients with acute myocardial infarction

2018 ◽  
pp. 30-48
Author(s):  
Lien Nguyen ◽  
Unto Häkkinen ◽  
Henna Jurvanen
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Linear Models ◽  
Statin Treatment ◽  
Data Set ◽  
Hospitalised Patients ◽  
Life Years ◽  
Matched Data ◽  
The Cost ◽  
Statin Use

The aim of this study was to investigate the cost-effectiveness of statin use by newly hospitalised patients with acute myocardial infarction (AMI) in Finland. The data were from the PERFECT database of patients hospitalised for AMI and discharged in 1998–2012 in Finland. Selected patients had first-time AMI and had not used statins earlier (N=60 404). We generated a matched data set from statin non-users for statin users based on propensity matching analysis (N=28 412), which was also used. Statin use was defined as statins purchased within the first week after hospital discharge. Healthcare costs included costs of inpatient and outpatient hospital care, costs of nursing homes and costs of prescribed medicines (at 2011 prices). The follow-up time was one year. Logit and generalised linear models were used. We measured the effects of statin use as life years (LYs) gained and computed costs per LY gained. Both data were analysed for the entire period and for subperiods 1998–2001, 2002–2007 and 2008–2011, without discount rates and with a 3% discount rate. An average patient would gain 0.26–0.51 more years. The estimated costs per LY gained ranged between EUR 800 and 15 000. They were highest (EUR 12 000–15 000) in 1998–2001 by the matched data, but were actually savings in 2008–2011. The estimated costs indicate that statin use in treating AMI was very cost-effective. However, our rather long study period may suggest that the cost estimates per LY gained could be overestimated, as the life expectancy of AMI patients is likely shorter than that of the general population.Published: Online April 2018.

scholarly journals Cost-effectiveness of percutaneous coronary intervention versus medical therapy in patients with acute myocardial infarction: real-world and lifetime-horizon data from Taiwan

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chia-Te Liao ◽  
Tung-Han Hsieh ◽  
Chia-Yin Shih ◽  
Ping-Yen Liu ◽  
Jung-Der Wang
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Cost Effectiveness ◽  
Survival Function ◽  
Coronary Intervention ◽  
Medical Costs ◽  
Life Years ◽  
Percutaneous Coronary ◽  
The Cost

AbstractAlthough some studies have assessed the cost-effectiveness of percutaneous coronary intervention (PCI) in acute myocardial infarction (AMI), there has been a lack of nationwide real-world studies estimating life expectancy (LE), loss-of-LE, life-years saved, and lifetime medical costs. We evaluated the cost-effectiveness of PCI versus non-PCI therapy by integrating a survival function and mean-cost function over a lifelong horizon to obtain the estimations for AMI patients without major comorbidities. We constructed a longitudinal AMI cohort based on the claim database of Taiwan's National Health Insurance during 1999–2015. Taiwan's National Mortality Registry Database was linked to derive a survival function to estimate LE, loss-of-LE, life-years saved, and lifetime medical costs in both therapies. This study enrolled a total of 38,441 AMI patients; AMI patients receiving PCI showed a fewer loss-of-LE (3.6 versus 5.2 years), and more lifetime medical costs (US$ 49,112 versus US$ 43,532). The incremental cost-effectiveness ratio (ICER) was US$ 3488 per life-year saved. After stratification by age, the AMI patients aged 50–59 years receiving PCI was shown to be cost-saving. From the perspective of Taiwan's National Health Insurance, PCI is cost-effective in AMI patients without major comorbidities. Notably, for patients aged 50–59 years, PCI is cost-saving.

AN EFFICIENT MACHINE LEARNING MODEL FOR PREDICTION OF ACUTE MYOCARDIAL INFARCTION

2020 ◽  
Vol 13 ◽  
Author(s):  
Dhilsath Fathima.M ◽  
S. Justin Samuel ◽  
R. Hari Haran
Keyword(s):  
Machine Learning ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Logistic Regression ◽  
Decision Tree ◽  
Learning Model ◽  
Training Dataset ◽  
Data Set ◽  
Machine Learning Model ◽  
Proposed Model

Aim: This proposed work is used to develop an improved and robust machine learning model for predicting Myocardial Infarction (MI) could have substantial clinical impact. Objectives: This paper explains how to build machine learning based computer-aided analysis system for an early and accurate prediction of Myocardial Infarction (MI) which utilizes framingham heart study dataset for validation and evaluation. This proposed computer-aided analysis model will support medical professionals to predict myocardial infarction proficiently. Methods: The proposed model utilize the mean imputation to remove the missing values from the data set, then applied principal component analysis to extract the optimal features from the data set to enhance the performance of the classifiers. After PCA, the reduced features are partitioned into training dataset and testing dataset where 70% of the training dataset are given as an input to the four well-liked classifiers as support vector machine, k-nearest neighbor, logistic regression and decision tree to train the classifiers and 30% of test dataset is used to evaluate an output of machine learning model using performance metrics as confusion matrix, classifier accuracy, precision, sensitivity, F1-score, AUC-ROC curve. Results: Output of the classifiers are evaluated using performance measures and we observed that logistic regression provides high accuracy than K-NN, SVM, decision tree classifiers and PCA performs sound as a good feature extraction method to enhance the performance of proposed model. From these analyses, we conclude that logistic regression having good mean accuracy level and standard deviation accuracy compared with the other three algorithms. AUC-ROC curve of the proposed classifiers is analyzed from the output figure.4, figure.5 that logistic regression exhibits good AUC-ROC score, i.e. around 70% compared to k-NN and decision tree algorithm. Conclusion: From the result analysis, we infer that this proposed machine learning model will act as an optimal decision making system to predict the acute myocardial infarction at an early stage than an existing machine learning based prediction models and it is capable to predict the presence of an acute myocardial Infarction with human using the heart disease risk factors, in order to decide when to start lifestyle modification and medical treatment to prevent the heart disease.

scholarly journals Statin Use After Acute Myocardial Infarction by Patient Complexity

Medical Care ◽  
2015 ◽  
Vol 53 (4) ◽  
pp. 324-331 ◽  
Author(s):  
John M. Brooks ◽  
Elizabeth Cook ◽  
Cole G. Chapman ◽  
Mary C. Schroeder ◽  
Elizabeth A. Chrischilles ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Patient Complexity ◽  
Statin Use

scholarly journals Lyubertsy Study of mortality in patients with acute myocardial infarction (LIS): the analysis of anamnestic predictors of in-hospital mortality

2012 ◽  
Vol 11 (1) ◽  
pp. 45-48 ◽  
Author(s):  
S. Yu. Martsevich ◽  
M. L. Ginsburg ◽  
N. P. Kutishenko ◽  
A. D. Deev ◽  
A. V. Fokina ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Psychosocial Risk ◽  
Hospital Death ◽  
Hospitalised Patients ◽  
District Hospitals ◽  
The Russian Federation ◽  
Age And Sex

Aim. To identify the main anamnestic predictors of mortality in the acute phase of acute myocardial infarction (AMI). Material and methods. The study included all patients admitted to Lyubertsy District hospitals and diagnosed with AMI (n=1133). Results. Out of 1133 hospitalised patients, 172 died in the hospital; in-hospital lethality was 15,2%. Mean age of diseased patients was significantly higher than that in those survived. The risk of in-hospital death was significantly and independently associated with older age (relative risk 1,07). After adjustment for age and sex, other independent predictors of in-hospital AMI death included diabetes mellitus (DM), low physical activity, and selected psychosocial factors. Conclusion. The in-hospital lethality levels, observed in the LIS Study, were typical for the Russian Federation. The main anamnestic predictors of in-hospital death were low physical activity, DM, and psychosocial risk factors.

Abstract 18272: The Increasing Proportion of Acute Myocardial Infarction Represented by the Uninsured: a Growing Financial Burden in the United States

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Bethany Doran ◽  
Yu Guo ◽  
Jinfeng Xu ◽  
Sripal Bangalore
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Health Insurance ◽  
Financial Burden ◽  
Insurance Coverage ◽  
The United States ◽  
The Us ◽  
Hospital Stays ◽  
Nationally Representative ◽  
The Cost

Introduction: Under the provisions of the Affordable Care Act, insurance coverage will markedly increase with the Congressional Budgetary Office estimating the number of insured to increase by approximately 13 million in 2014 and 25 million in 2016. However, approximately 31 million non-elderly US citizens are expected to remain without health insurance in 2016. Acute myocardial infarction (AMI) remains a source of significant morbidity and mortality, as well as cost to society. No prior studies have examined temporal rates of uninsured among patients presenting with an AMI using a nationally representative database. Hypothesis: We tested the hypothesis that the proportion of uninsured individuals with AMI and cost of uninsured to society will vary by year. Methods: We used the Nationwide Inpatient Sample (NIS), which contains estimates from approximately 8 million hospital visits and information related to number of discharges, aggregate charges, and principal diagnoses of all patients discharged in the US. We calculated the percentage of acute myocardial infarction by insurance status, and the sum of all charges of hospital stays in the US adjusted for inflation. Results: The cost to society due to acute myocardial infarction in the uninsured increased substantially from 1997 to 2012, with total cost in 1997 of $852,596,272 and $3,446,893,954 in 2012 after adjustment for inflation. In addition, although rates of AMI decreased in the general population (from 268.6/100,000 individuals in 1997 to 193.8/100,000 individuals in 2012), the proportion of individuals with AMI who were uninsured increased (from 3.83% in 1997 to 7.37% in 2012). Conclusions: The proportion of those experiencing AMI who are uninsured is rising, as is cost to society. It remains to be seen what the effects of expanding health insurance will have on the rate of AMI as well as proportion of AMI represented by the uninsured.

Early Initiation of Statin Treatment Immediately after Acute Myocardial Infarction Improves Clinical Outcomes

2010 ◽  
Vol 46 (1) ◽  
pp. 25
Author(s):  
Young Joon Hong ◽  
Myung Ho Jeong ◽  
Keun Ho Park ◽  
Doo Sun Sim ◽  
Kye Hun Kim ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Clinical Outcomes ◽  
Statin Treatment ◽  
Early Initiation

scholarly journals Association of hyperlipidaemia with 5-year survival after hospitalisation for acute myocardial infarction: a propensity score matched analysis

Open Heart ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. e001163
Author(s):  
Mohammed Yousufuddin ◽  
Ye Zhu ◽  
Ruaa Al Ward ◽  
Jessica Peters ◽  
Taylor Doyle ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Propensity Score ◽  
Primary Objective ◽  
Life Years ◽  
Statin Prescription ◽  
Statin Adherence ◽  
The Impact

ObjectivesThe primary objective was to examine the association between hyperlipidaemia (HLP) and 5-year survival after incident acute myocardial infarction (AMI). The secondary objectives were to assess the effect of HLP on survival to discharge across patient subgroups, and the impact of statin prescription, intensity and long-term statin adherence on 5-year survival.MethodsRetrospective cohort study of 7071 patients hospitalised for AMI at Mayo Clinic from 2001 through 2011. Of these, 2091 patients with HLP (age (mean±SD) 69.7±13.5) were propensity score matched to 2091 patients without HLP (age 70.6±14.2).ResultsIn matched patients, HLP was associated with higher rate of survival to discharge than no HLP (95% vs 91%; log-rank <0.0001). At year 5, the adjusted HR for all-cause mortality in patients with HLP versus no HLP was 0.66 (95% CI 0.58–0.74), and patients with prescription statin versus no statin was 0.24 (95% CI 0.21 to 0.28). The mean survival was 0.35 year greater in patients with HLP than in those with no HLP (95% CI 0.25 to 0.46). Patients with HLP gained on an average 0.17 life year and those treated with statin 0.67 life year at 5 years after AMI. The benefit of concurrent HLP was consistent across study subgroups.ConclusionsIn patients with AMI, concomitant HLP was associated with increased survival and a net gain in life years, independent of survival benefit from statin therapy. The results also reaffirm the role of statin prescription, intensity and adherence in reducing the mortality after incident AMI.

scholarly journals Cost-Effectiveness of a Multifaceted Podiatry Intervention for the Prevention of Falls in Older People: The REducing Falls with Orthoses and a Multifaceted Podiatry Intervention Trial Findings

Gerontology ◽  
2018 ◽  
Vol 64 (5) ◽  
pp. 503-512 ◽  
Author(s):  
Belen Corbacho ◽  
Sarah Cockayne ◽  
Caroline Fairhurst ◽  
Catherine E. Hewitt ◽  
Kate Hicks ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Older People ◽  
Usual Care ◽  
Incidence Rate ◽  
Intervention Group ◽  
Cost Effective ◽  
Falls Prevention ◽  
Data Set ◽  
Life Years ◽  
The Cost

Background: Falls are a major cause of morbidity among older people. Multifaceted interventions may be effective in preventing falls and related fractures. Objective: To evaluate the cost-effectiveness alongside the REducing Falls with Orthoses and a Multifaceted podiatry intervention (REFORM) trial. Methods: REFORM was a pragmatic multicentre cohort randomised controlled trial in England and Ireland; 1,010 participants (> 65 years) were randomised to receive either a podiatry intervention (n = 493), including foot and ankle strengthening exercises, foot orthoses, new footwear if required, and a falls prevention leaflet, or usual podiatry treatment plus a falls prevention leaflet (n = 517). Primary outcome: incidence of falls per participant in the 12 months following randomisation. Secondary outcomes: proportion of fallers and quality of life (EQ-5D-3L) which was converted into quality-adjusted life years (QALYs) for each participant. Differences in mean costs and QALYs at 12 months were used to assess the cost-effectiveness of the intervention relative to usual care. Cost-effectiveness analyses were conducted in accordance with National Institute for Health and Clinical Excellence reference case standards, using a regression-based approach with costs expressed in GBP (2015 price). The base case analysis used an intention-to-treat approach on the imputed data set using multiple imputation. Results: There was a small, non-statistically significant reduction in the incidence rate of falls in the intervention group (adjusted incidence rate ratio 0.88, 95% CI 0.73–1.05, p = 0.16). Participants allocated to the intervention group accumulated on average marginally higher QALYs than the usual care participants (mean difference 0.0129, 95% CI –0.0050 to 0.0314). The intervention costs were on average GBP 252 more per participant compared to the usual care participants (95% CI GBP –69 to GBP 589). Incremental cost-effectiveness ratios ranged between GBP 19,494 and GBP 20,593 per QALY gained, below the conventional National Health Service cost-effectiveness thresholds of GBP 20,000 to GBP 30,000 per additional QALY. The probability that the podiatry intervention is cost-effective at a threshold of GBP 30,000 per QALY gained was 0.65. The results were robust to sensitivity analyses. Conclusion: The benefits of the intervention justified the moderate cost. The intervention could be a cost-effective option for falls prevention when compared with usual care in the UK.

scholarly journals Reduced regional flow in the left ventricle after anterior acute myocardial infarction: a case control study using 4D flow MRI

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Philip A. Corrado ◽  
Jacob A. Macdonald ◽  
Christopher J. François ◽  
Niti R. Aggarwal ◽  
Jonathan W. Weinsaft ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Linear Models ◽  
Left Ventricular ◽  
Short Axis ◽  
Flow Data ◽  
4D Flow Mri ◽  
4D Flow ◽  
Regional Flow ◽  
Flow Mri

Abstract Background Acute myocardial infarction (AMI) alters left ventricular (LV) hemodynamics, resulting in decreased global LV ejection fraction and global LV kinetic energy. We hypothesize that anterior AMI effects localized alterations in LV flow and developed a regional approach to analyze these local changes with 4D flow MRI. Methods 4D flow cardiac magnetic resonance (CMR) data was compared between 12 anterior AMI patients (11 males; 66 ± 12yo; prospectively acquired in 2016–2017) and 19 healthy volunteers (10 males; 40 ± 16yo; retrospective from 2010 to 2011 study). The LV cavity was contoured on short axis cine steady-state free procession CMR and partitioned into three regions: base, mid-ventricle, and apex. 4D flow data was registered to the short axis segmentation. Peak systolic and diastolic through-plane flows were compared region-by-region between groups using linear models of flow with age, sex, and heart rate as covariates. Results Peak systolic flow was reduced in anterior AMI subjects compared to controls in the LV mid-ventricle (fitted reduction = 3.9 L/min; P = 0.01) and apex (fitted reduction = 1.4 L/min; P = 0.02). Peak diastolic flow was also lower in anterior AMI subjects compared to controls in the apex (fitted reduction = 2.4 L/min; P = 0.01). Conclusions A regional method to analyze 4D LV flow data was applied in anterior AMI patients and controls. Anterior AMI patients had reduced regional flow relative to controls.

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