Unique ID issued by UMIN | UMIN000040282 |
---|---|
Receipt number | R000045959 |
Scientific Title | Health economics-based verification of functional myocardial ischemia evaluation of stable coronary artery disease |
Date of disclosure of the study information | 2020/05/01 |
Last modified on | 2020/05/01 14:06:12 |
Health economics-based verification of functional myocardial ischemia evaluation of stable coronary artery disease
Health economics-based verification of functional myocardial ischemia evaluation of stable coronary artery disease
Health economics-based verification of functional myocardial ischemia evaluation of stable coronary artery disease
Health economics-based verification of functional myocardial ischemia evaluation of stable coronary artery disease
Japan |
stable coronary artery disease
Cardiology | Vascular surgery |
Others
NO
To contribute to the appropriate elective percutaneous coronary intervention (PCI), this study evaluate the health economics of testing and diagnosis for stable coronary artery disease (stable CAD) as long-term longitudinal study.
Others
long-term clinical outcomes and cumulative public medical costs
Others
Not applicable
The primary endpoint is cost-effectiveness analysis (CEA).
The secondary endpoints are major adverse coronary events (MACEs) or life years (LYs unit: year) and medical costs. CEA was the ratio of the related medical costs for over 36 months and LYs (US$/LY).
Others,meta-analysis etc
20 | years-old | <= |
100 | years-old | > |
Male and Female
This study identified a stable CAD in the subjects for analysis from the database using information including age when treatment was received, main disease (International Classification of Diseases 10th Revision: ICD-10), and treatment history. Out of ICD-10 code I11.0 through I50.9, eligibility criteria included patients with a disease code indicating stable CAD, adults aged 20 years or older, and patients undergoing testing or diagnosis related to the degree of anatomical coronary stenosis or functional ischemia severity for the first time: computed tomography angiography (CTA), stress myocardial perfusion imaging (MPI), coronary angiography (CAG), or coronary fractional flow reserve (FFR). Subjects were followed up for at least 1 year (excluding cases of mortality).
The exclusion criteria were as follows: prior coronary revascularization, history of ACS within 1 year before the index day, and any latent risk factors that could affect the evaluation of cardiac disease diagnosis and treatment, such as cardiac-related surgery, assisted circulation or arrhythmia device implantation. We also excluded cases thought to have a low risk of cardiac disease. These included patients undergoing CTA alone for whom stress electrocardiogram (ECG) or stress echocardiography had not been performed within 1 year before the index day, patients undergoing CAG alone who had undergone the same testing two or more times (excluding follow-up CAG), and patients not treated with anti-platelet agents within 6 months after CAG (excluding cases considered to have no coronary stenosis). Patients who underwent coronary revascularization within 5 days after the index day were excluded because they were considered to have a very high risk of coronary disease and/or to be high priority emergency cases. Patients with concurrent systemic diseases, including malignant tumors or Kawasaki disease (sequela), as well as general injuries, were excluded because these factors could affect prognosis and medical costs.
3500
1st name | Tomoyuki |
Middle name | |
Last name | Takura |
The University of Tokyo
Department of Healthcare Economics and Health Policy, Graduate School of Medicine,
113-8655
7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
+81-3-5800-9523
ttakura@m.u-tokyo.ac.jp
1st name | Tomoyuki |
Middle name | |
Last name | Takura |
The University of Tokyo
Department of Healthcare Economics and Health Policy, Graduate School of Medicine,
113-8655
7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
+81-3-5800-9523
http://plaza.umin.ac.jp/hehp/thebd.html
acishea@gmail.com
Department of Healthcare Economics and Health Policy, Graduate School of Medicine, The University of Tokyo
The University of Tokyo
Self funding
Tokyo Hospital IRB
7-3-1, Hongo, Bunkyo-ku, Tokyo
03-5841-0818
acishea@gmail.com
NO
東京大学附属病院
2020 | Year | 05 | Month | 01 | Day |
Unpublished
3500
No longer recruiting
2019 | Year | 03 | Month | 26 | Day |
2019 | Year | 03 | Month | 26 | Day |
2020 | Year | 01 | Month | 07 | Day |
2020 | Year | 03 | Month | 31 | Day |
This retrospective cohort study used a large database obtained from the public medical insurance system of Japan. The data source comprised medical economic big data that mainly included medical service bills gathered from public insurers (health insurance societies of companies and so on) throughout Japan (TheBD). We examined the medical service received at hospitals, clinics, and pharmacies between April 2012 and March 2019 based on therapy performed (testing/diagnosis, pharmacotherapy, treatment/surgery, hospitalized recuperation, and so on), outcomes (death, hospital transfer, and so on), and medical costs and chronologically linked subjects with unified IDs.
An analysis of related testing combinations was performed after dividing subjects into groups depending on whether or not functional myocardial ischemia was evaluated and considering the degree of invasiveness. Specifically, we broadly divided subjects into the anatomical and functional evaluation groups and also categorized subjects according to whether they entered the catheterization laboratory. Subjects were divided into the following groups according to the modality: those who only underwent CTA, those who underwent only CAG or, in some cases, CAG and CTA, those who underwent only MPI or, in some cases, MPI and CTA, and a those who underwent either CAG and FFR or MPI and CAG.
The bias related to patient backgrounds was reduced as much as possible using propensity score. For PS, we applied a multiple logistic regression analysis model using backward stepwise regression to predict dependent factors with functional ischemia evaluation being performed described as 1 and not being performed described as 0. To identify explanatory factors (covariance), we calculated PS for each case as sex, age/disease/pharmacotherapy/risk factors and matched the sample size with greedy matching. We then confirmed data distribution and balance for both groups (detailed testing of summary statistics per group).
2020 | Year | 05 | Month | 01 | Day |
2020 | Year | 05 | Month | 01 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000045959