Plasma BNP Levels and Diuretics Use as Predictors of Cardiovascular Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance

Purpose Although impaired glucose tolerance (IGT) promotes cardiovascular events, our Alpha-glucosidase-inhibitor Blocks Cardiac Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance (ABC) study showed that alpha-glucosidase inhibitors do not prevent cardiovascular events in p...

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Veröffentlicht in:Cardiovascular drugs and therapy 2020-02, Vol.34 (1), p.79-88
Hauptverfasser: Shindo, Kazuhiro, Fukuda, Hiroki, Hitsumoto, Tatsuro, Ito, Shin, Kim, Jiyoong, Washio, Takashi, Kitakaze, Masafumi
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container_end_page 88
container_issue 1
container_start_page 79
container_title Cardiovascular drugs and therapy
container_volume 34
creator Shindo, Kazuhiro
Fukuda, Hiroki
Hitsumoto, Tatsuro
Ito, Shin
Kim, Jiyoong
Washio, Takashi
Kitakaze, Masafumi
description Purpose Although impaired glucose tolerance (IGT) promotes cardiovascular events, our Alpha-glucosidase-inhibitor Blocks Cardiac Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance (ABC) study showed that alpha-glucosidase inhibitors do not prevent cardiovascular events in patients with myocardial infarction (MI) and IGT. The aim of the present study was to identify potential clinical factors for cardiovascular events in patients with MI and IGT. Methods Using the limitless-arity multiple testing procedure, an artificial intelligence (AI)–based data mining method, we analyzed 385,391 combinations of fewer than four clinical parameters. Results We identified 380 combinations predicting the occurrence of (1) all-cause hospitalization, (2) hospitalization due to worsening of heart failure (HF), (3) hospitalization due to non-fatal MI, and (4) hospitalization due to percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) for stable angina among 385,391 combinations in 853 patients. Among these, either plasma BNP levels ≥ 200 pg/dl or diuretic use exclusively predicted (1) all-cause hospitalization, (2) hospitalization due to worsening of HF, and (3) hospitalization due to a non-fatal MI, with plasma BNP levels ≥ 200 pg/dl being the sole predictor of hospitalization due to PCI and CABG. Importantly, each finding was verified by independently drawn Kaplan–Meier curves, revealing the unexpected role of plasma BNP levels in the progression of coronary stenosis determined as the necessity of PCI and CABG for stable angina. Conclusions In patients with MI and IGT, high plasma BNP levels predicted the occurrence of coronary stenosis, recurrent MI, and worsening of HF, whereas diuretic use did not predict the progression of coronary stenosis but non-fatal MI and worsening of HF.
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The aim of the present study was to identify potential clinical factors for cardiovascular events in patients with MI and IGT. Methods Using the limitless-arity multiple testing procedure, an artificial intelligence (AI)–based data mining method, we analyzed 385,391 combinations of fewer than four clinical parameters. Results We identified 380 combinations predicting the occurrence of (1) all-cause hospitalization, (2) hospitalization due to worsening of heart failure (HF), (3) hospitalization due to non-fatal MI, and (4) hospitalization due to percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) for stable angina among 385,391 combinations in 853 patients. Among these, either plasma BNP levels ≥ 200 pg/dl or diuretic use exclusively predicted (1) all-cause hospitalization, (2) hospitalization due to worsening of HF, and (3) hospitalization due to a non-fatal MI, with plasma BNP levels ≥ 200 pg/dl being the sole predictor of hospitalization due to PCI and CABG. Importantly, each finding was verified by independently drawn Kaplan–Meier curves, revealing the unexpected role of plasma BNP levels in the progression of coronary stenosis determined as the necessity of PCI and CABG for stable angina. Conclusions In patients with MI and IGT, high plasma BNP levels predicted the occurrence of coronary stenosis, recurrent MI, and worsening of HF, whereas diuretic use did not predict the progression of coronary stenosis but non-fatal MI and worsening of HF.</description><identifier>ISSN: 0920-3206</identifier><identifier>EISSN: 1573-7241</identifier><identifier>DOI: 10.1007/s10557-019-06922-9</identifier><identifier>PMID: 32076931</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Angina ; Angina pectoris ; Artificial intelligence ; Cardiology ; Congestive heart failure ; Coronary artery ; Data mining ; Diuretics ; Electrocardiography ; Glucose ; Glucose tolerance ; Glucosidase ; Health risk assessment ; Heart attacks ; Heart surgery ; Immunological tolerance ; Medicine ; Medicine &amp; Public Health ; Myocardial infarction ; Original Article ; Parameter identification ; Plasma ; Stenosis ; α-Glucosidase</subject><ispartof>Cardiovascular drugs and therapy, 2020-02, Vol.34 (1), p.79-88</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>Cardiovascular Drugs and Therapy is a copyright of Springer, (2020). 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The aim of the present study was to identify potential clinical factors for cardiovascular events in patients with MI and IGT. Methods Using the limitless-arity multiple testing procedure, an artificial intelligence (AI)–based data mining method, we analyzed 385,391 combinations of fewer than four clinical parameters. Results We identified 380 combinations predicting the occurrence of (1) all-cause hospitalization, (2) hospitalization due to worsening of heart failure (HF), (3) hospitalization due to non-fatal MI, and (4) hospitalization due to percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) for stable angina among 385,391 combinations in 853 patients. 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The aim of the present study was to identify potential clinical factors for cardiovascular events in patients with MI and IGT. Methods Using the limitless-arity multiple testing procedure, an artificial intelligence (AI)–based data mining method, we analyzed 385,391 combinations of fewer than four clinical parameters. Results We identified 380 combinations predicting the occurrence of (1) all-cause hospitalization, (2) hospitalization due to worsening of heart failure (HF), (3) hospitalization due to non-fatal MI, and (4) hospitalization due to percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) for stable angina among 385,391 combinations in 853 patients. Among these, either plasma BNP levels ≥ 200 pg/dl or diuretic use exclusively predicted (1) all-cause hospitalization, (2) hospitalization due to worsening of HF, and (3) hospitalization due to a non-fatal MI, with plasma BNP levels ≥ 200 pg/dl being the sole predictor of hospitalization due to PCI and CABG. Importantly, each finding was verified by independently drawn Kaplan–Meier curves, revealing the unexpected role of plasma BNP levels in the progression of coronary stenosis determined as the necessity of PCI and CABG for stable angina. Conclusions In patients with MI and IGT, high plasma BNP levels predicted the occurrence of coronary stenosis, recurrent MI, and worsening of HF, whereas diuretic use did not predict the progression of coronary stenosis but non-fatal MI and worsening of HF.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>32076931</pmid><doi>10.1007/s10557-019-06922-9</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-5157-4213</orcidid></addata></record>
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subjects Angina
Angina pectoris
Artificial intelligence
Cardiology
Congestive heart failure
Coronary artery
Data mining
Diuretics
Electrocardiography
Glucose
Glucose tolerance
Glucosidase
Health risk assessment
Heart attacks
Heart surgery
Immunological tolerance
Medicine
Medicine & Public Health
Myocardial infarction
Original Article
Parameter identification
Plasma
Stenosis
α-Glucosidase
title Plasma BNP Levels and Diuretics Use as Predictors of Cardiovascular Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance
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