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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05760157
Other study ID # RDGS2022-08
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date January 1, 2023
Est. completion date December 31, 2025

Study information

Verified date February 2023
Source Peking University People's Hospital
Contact Jian Liu
Phone 13801373121
Email drjianliu@163.com
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

This study aims to explore the heart failure risk model based on the dynamic data of patients with different outcome nodes after myocardial infarction to correct the heart failure risk of patients timely.


Description:

Heart failure (HF) is the most common complication of acute myocardial infarction (AMI), which seriously affects the prognosis and quality of life of patients. After successful revascularization, the risk of heart failure in patients with acute myocardial infarction is closely related to the state of coronary microcirculation, and the risk of heart failure also changes dynamically with the prognosis of patients. However, current heart failure prediction models only include routine baseline variables to assess short-and long-term risk and lack newly explored new risk factors for heart failure-coronary microcirculation function, there are static, single defects. Therefore, this study is intended to be based on patients with acute ST-segment elevation myocardial infarction who had an infarct artery in the anterior descending artery and underwent emergency percutaneous coronary intervention to open the culprit lesion within 12 hours, according to the multi-dimensional data of clinical epidemiology, serology, radiology, and microcirculation resistance index based on coronary angiography during hospitalization and 6 and 12 months after discharge, respectively, to construct a multimodal dynamic predictive model for heart failure risk at 0-24 months, 6-24 months, and 12-24 months after acute myocardial infarction, to explore the heart failure risk model based on the dynamic data of different outcome nodes of patients after myocardial infarction, and to achieve the goal of timely correction of heart failure risk of patients, which is multi-linear, dynamic and practical, to provide a stage-by-stage reference for follow-up.


Recruitment information / eligibility

Status Recruiting
Enrollment 567
Est. completion date December 31, 2025
Est. primary completion date December 31, 2025
Accepts healthy volunteers No
Gender All
Age group 18 Years to 75 Years
Eligibility Inclusion Criteria: 1. Age 18-75 years old (including threshold), gender unlimited 2. acute ST-segment elevation myocardial infarction was diagnosed, and the following two criteria were met: A) ischemic chest pain lasting =30 min;B) ECG indicating ST-segment elevation =0.1 mV in two or more limb leads and/or =0.2 mV in two or more adjacent chest leads 3. Coronary angiography confirmed that the culprit's vessel was located in the anterior descending branch, and the proximal and middle segments of the anterior descending branch were occluded (TIMI blood flow 0 or 1), Or TIMI blood flow grade 2 with obvious thrombus (TIMI thrombus score = 2 points, which is determined after the guide wire passes and restores the forward blood flow. The TIMI thrombus score is determined as follows: 0 point: no thrombus is determined;1 point: blurred thrombus image is visible;2 point: clear thrombus image, but the length of the thrombus image is less than 1/2 vessel diameter;3 point: clear thrombus image, the length of the thrombus image is 1/2~2 times the vessel diameter;4 point: clear thrombus image, the thrombus image is more than 2 times the vessel diameter;5 points : complete occlusion of blood vessels) 4:Emergency PCI revascularization was completed within 12 hours after the occurrence of myocardial infarction. Postoperative angiography confirmed that residual stenosis was less than 50%. 5: Sign the informed consent form voluntarily Exclusion Criteria: 1. Severe heart failure at discharge (NYHA III/IV, EF<30%);Or patients with severe hemodynamic instability and cardiogenic shock, defined as systolic blood pressure<90 mmHg, and/or cardiac index<2.2 L/min/m2 during continuous (>30 minutes) attacks, identified as secondary cardiac insufficiency, and/or requiring extraintestinal muscle strength or vasoconstrictor or mechanical support to maintain blood pressure and cardiac index above these specified levels. 2. patients undergoing coronary artery bypass grafting 3. Patients with mechanical complications after myocardial infarction 4. prolonged or invasive cardiopulmonary resuscitation 5. Patients with acute pericarditis, infective endocarditis, severe valvular heart disease and cardiomyopathy 6. Serious liver and kidney failure and other diseases, mental disorders or cognitive disorders 7. The expected survival of tumor patients is less than 2 years 8. patients who are participating in other interventional clinical trials 9. Those who refuse to participate or are clearly unable to complete the follow-up according to the established time point.

Study Design


Intervention

Other:
Possible risk factors of heart failure
Demographic data, previous medical history data, physical examination, ECG examination, blood routine, blood biochemistry, the peak value of myocardial injury markers, serum markers of heart failure, high-sensitivity C-reactive protein Coronary angiography, interventional treatment, microcirculation resistance index caIMR calculation based on coronary angiography Doppler echocardiography, medication during hospitalization, NYHA cardiac function grading before discharge, and 6-minute walk test before discharge.

Locations

Country Name City State
China Jian Liu Beijing

Sponsors (6)

Lead Sponsor Collaborator
Jian Liu Beijing Anzhen Hospital, Beijing Chao Yang Hospital, Beijing Luhe Hospital, Navy General Hospital, Beijing, Peking University Third Hospital

Country where clinical trial is conducted

China, 

References & Publications (25)

Agarwal SK, Chambless LE, Ballantyne CM, Astor B, Bertoni AG, Chang PP, Folsom AR, He M, Hoogeveen RC, Ni H, Quibrera PM, Rosamond WD, Russell SD, Shahar E, Heiss G. Prediction of incident heart failure in general practice: the Atherosclerosis Risk in Communities (ARIC) Study. Circ Heart Fail. 2012 Jul 1;5(4):422-9. doi: 10.1161/CIRCHEARTFAILURE.111.964841. Epub 2012 May 15. — View Citation

Ali AS, Rybicki BA, Alam M, Wulbrecht N, Richer-Cornish K, Khaja F, Sabbah HN, Goldstein S. Clinical predictors of heart failure in patients with first acute myocardial infarction. Am Heart J. 1999 Dec;138(6 Pt 1):1133-9. doi: 10.1016/s0002-8703(99)70080-3. — View Citation

Bahit MC, Kochar A, Granger CB. Post-Myocardial Infarction Heart Failure. JACC Heart Fail. 2018 Mar;6(3):179-186. doi: 10.1016/j.jchf.2017.09.015. — View Citation

Bozkurt B, Coats AJ, Tsutsui H, Abdelhamid M, Adamopoulos S, Albert N, Anker SD, Atherton J, Bohm M, Butler J, Drazner MH, Felker GM, Filippatos G, Fonarow GC, Fiuzat M, Gomez-Mesa JE, Heidenreich P, Imamura T, Januzzi J, Jankowska EA, Khazanie P, Kinugawa K, Lam CSP, Matsue Y, Metra M, Ohtani T, Francesco Piepoli M, Ponikowski P, Rosano GMC, Sakata Y, SeferoviC P, Starling RC, Teerlink JR, Vardeny O, Yamamoto K, Yancy C, Zhang J, Zieroth S. Universal Definition and Classification of Heart Failure: A Report of the Heart Failure Society of America, Heart Failure Association of the European Society of Cardiology, Japanese Heart Failure Society and Writing Committee of the Universal Definition of Heart Failure. J Card Fail. 2021 Mar 1:S1071-9164(21)00050-6. doi: 10.1016/j.cardfail.2021.01.022. Online ahead of print. — View Citation

Bulluck H, Zheng H, Chan MY, Foin N, Foo DC, Lee CW, Lim ST, Sahlen A, Tan HC, Tan JW, Tong KL, Wong AS, Wong PE, Yeo KK, Foo LL, Chua TS, Koh TH, Hausenloy DJ. Independent Predictors of Cardiac Mortality and Hospitalization for Heart Failure in a Multi-Ethnic Asian ST-segment Elevation Myocardial Infarction Population Treated by Primary Percutaneous Coronary Intervention. Sci Rep. 2019 Jul 11;9(1):10072. doi: 10.1038/s41598-019-46486-0. — View Citation

Camici PG, d'Amati G, Rimoldi O. Coronary microvascular dysfunction: mechanisms and functional assessment. Nat Rev Cardiol. 2015 Jan;12(1):48-62. doi: 10.1038/nrcardio.2014.160. Epub 2014 Oct 14. — View Citation

Choi KH, Dai N, Li Y, Kim J, Shin D, Lee SH, Joh HS, Kim HK, Jeon KH, Ha SJ, Kim SM, Jang MJ, Park TK, Yang JH, Song YB, Hahn JY, Doh JH, Shin ES, Choi SH, Gwon HC, Lee JM. Functional Coronary Angiography-Derived Index of Microcirculatory Resistance in Patients With ST-Segment Elevation Myocardial Infarction. JACC Cardiovasc Interv. 2021 Aug 9;14(15):1670-1684. doi: 10.1016/j.jcin.2021.05.027. Erratum In: JACC Cardiovasc Interv. 2022 Oct 10;15(19):2001. — View Citation

De Maria GL, Scarsini R, Shanmuganathan M, Kotronias RA, Terentes-Printzios D, Borlotti A, Langrish JP, Lucking AJ, Choudhury RP, Kharbanda R, Ferreira VM; Oxford Acute Myocardial Infarction (OXAMI) Study Investigators; Channon KM, Garcia-Garcia HM, Banning AP. Angiography-derived index of microcirculatory resistance as a novel, pressure-wire-free tool to assess coronary microcirculation in ST elevation myocardial infarction. Int J Cardiovasc Imaging. 2020 Aug;36(8):1395-1406. doi: 10.1007/s10554-020-01831-7. Epub 2020 May 14. — View Citation

Ezekowitz JA, Kaul P, Bakal JA, Armstrong PW, Welsh RC, McAlister FA. Declining in-hospital mortality and increasing heart failure incidence in elderly patients with first myocardial infarction. J Am Coll Cardiol. 2009 Jan 6;53(1):13-20. doi: 10.1016/j.jacc.2008.08.067. — View Citation

Fearon WF, Low AF, Yong AS, McGeoch R, Berry C, Shah MG, Ho MY, Kim HS, Loh JP, Oldroyd KG. Prognostic value of the Index of Microcirculatory Resistance measured after primary percutaneous coronary intervention. Circulation. 2013 Jun 18;127(24):2436-41. doi: 10.1161/CIRCULATIONAHA.112.000298. Epub 2013 May 16. — View Citation

Gaibazzi N, Reverberi C, Lorenzoni V, Molinaro S, Porter TR. Prognostic value of high-dose dipyridamole stress myocardial contrast perfusion echocardiography. Circulation. 2012 Sep 4;126(10):1217-24. doi: 10.1161/CIRCULATIONAHA.112.110031. Epub 2012 Aug 7. Erratum In: Circulation. 2014 Apr 1;129(13):e429. — View Citation

Granger CB, Goldberg RJ, Dabbous O, Pieper KS, Eagle KA, Cannon CP, Van De Werf F, Avezum A, Goodman SG, Flather MD, Fox KA; Global Registry of Acute Coronary Events Investigators. Predictors of hospital mortality in the global registry of acute coronary events. Arch Intern Med. 2003 Oct 27;163(19):2345-53. doi: 10.1001/archinte.163.19.2345. — View Citation

Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, Funck-Brentano C, Prescott E, Storey RF, Deaton C, Cuisset T, Agewall S, Dickstein K, Edvardsen T, Escaned J, Gersh BJ, Svitil P, Gilard M, Hasdai D, Hatala R, Mahfoud F, Masip J, Muneretto C, Valgimigli M, Achenbach S, Bax JJ; ESC Scientific Document Group. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J. 2020 Jan 14;41(3):407-477. doi: 10.1093/eurheartj/ehz425. No abstract available. Erratum In: Eur Heart J. 2020 Nov 21;41(44):4242. — View Citation

Lazzarini V, Mentz RJ, Fiuzat M, Metra M, O'Connor CM. Heart failure in elderly patients: distinctive features and unresolved issues. Eur J Heart Fail. 2013 Jul;15(7):717-23. doi: 10.1093/eurjhf/hft028. Epub 2013 Feb 20. — View Citation

Lewis EF, Moye LA, Rouleau JL, Sacks FM, Arnold JM, Warnica JW, Flaker GC, Braunwald E, Pfeffer MA; CARE Study. Predictors of late development of heart failure in stable survivors of myocardial infarction: the CARE study. J Am Coll Cardiol. 2003 Oct 15;42(8):1446-53. doi: 10.1016/s0735-1097(03)01057-x. — View Citation

Riley RD, Ensor J, Snell KIE, Harrell FE Jr, Martin GP, Reitsma JB, Moons KGM, Collins G, van Smeden M. Calculating the sample size required for developing a clinical prediction model. BMJ. 2020 Mar 18;368:m441. doi: 10.1136/bmj.m441. No abstract available. — View Citation

Rush CJ, Berry C, Oldroyd KG, Rocchiccioli JP, Lindsay MM, Touyz RM, Murphy CL, Ford TJ, Sidik N, McEntegart MB, Lang NN, Jhund PS, Campbell RT, McMurray JJV, Petrie MC. Prevalence of Coronary Artery Disease and Coronary Microvascular Dysfunction in Patients With Heart Failure With Preserved Ejection Fraction. JAMA Cardiol. 2021 Oct 1;6(10):1130-1143. doi: 10.1001/jamacardio.2021.1825. — View Citation

Schnabel RB, Rienstra M, Sullivan LM, Sun JX, Moser CB, Levy D, Pencina MJ, Fontes JD, Magnani JW, McManus DD, Lubitz SA, Tadros TM, Wang TJ, Ellinor PT, Vasan RS, Benjamin EJ. Risk assessment for incident heart failure in individuals with atrial fibrillation. Eur J Heart Fail. 2013 Aug;15(8):843-9. doi: 10.1093/eurjhf/hft041. Epub 2013 Apr 17. — View Citation

Shah RV, Holmes D, Anderson M, Wang TY, Kontos MC, Wiviott SD, Scirica BM. Risk of heart failure complication during hospitalization for acute myocardial infarction in a contemporary population: insights from the National Cardiovascular Data ACTION Registry. Circ Heart Fail. 2012 Nov;5(6):693-702. doi: 10.1161/CIRCHEARTFAILURE.112.968180. Epub 2012 Oct 9. — View Citation

Sulo G, Igland J, Vollset SE, Nygard O, Ebbing M, Sulo E, Egeland GM, Tell GS. Heart Failure Complicating Acute Myocardial Infarction; Burden and Timing of Occurrence: A Nation-wide Analysis Including 86 771 Patients From the Cardiovascular Disease in Norway (CVDNOR) Project. J Am Heart Assoc. 2016 Jan 7;5(1):e002667. doi: 10.1161/JAHA.115.002667. — View Citation

Tebaldi M, Biscaglia S, Di Girolamo D, Erriquez A, Penzo C, Tumscitz C, Campo G. Angio-Based Index of Microcirculatory Resistance for the Assessment of the Coronary Resistance: A Proof of Concept Study. J Interv Cardiol. 2020 Oct 25;2020:8887369. doi: 10.1155/2020/8887369. eCollection 2020. — View Citation

Wong YW, Thomas L, Sun JL, McMurray JJ, Krum H, Hernandez AF, Rutten GE, Leiter LA, Standl E, Haffner SM, Mazzone T, Martinez FA, Tognoni G, Giles T, Califf RM. Predictors of incident heart failure hospitalizations among patients with impaired glucose tolerance: insight from the Nateglinide And Valsartan in Impaired Glucose Tolerance Outcomes Research study. Circ Heart Fail. 2013 Mar;6(2):203-10. doi: 10.1161/CIRCHEARTFAILURE.112.000086. Epub 2013 Feb 6. — View Citation

Xie F, Qian L, Goldsweig A, Xu D, Porter TR. Event-Free Survival Following Successful Percutaneous Intervention in Acute Myocardial Infarction Depends on Microvascular Perfusion. Circ Cardiovasc Imaging. 2020 Jun;13(6):e010091. doi: 10.1161/CIRCIMAGING.119.010091. Epub 2020 Jun 12. — View Citation

Yoon GS, Ahn SG, Woo SI, Yoon MH, Lee MJ, Choi SH, Seo JY, Kwon SW, Park SD, Seo KW. The Index of Microcirculatory Resistance after Primary Percutaneous Coronary Intervention Predicts Long-Term Clinical Outcomes in Patients with ST-Segment Elevation Myocardial Infarction. J Clin Med. 2021 Oct 16;10(20):4752. doi: 10.3390/jcm10204752. — View Citation

Zheng H, Foo LL, Tan HC, Richards AM, Chan SP, Lee CH, Low AFH, Hausenloy DJ, Tan JWC, Sahlen AO, Ho HH, Chai SC, Tong KL, Tan DSY, Yeo KK, Chua TSJ, Lam CSP, Chan MY. Sex Differences in 1-Year Rehospitalization for Heart Failure and Myocardial Infarction After Primary Percutaneous Coronary Intervention. Am J Cardiol. 2019 Jun 15;123(12):1935-1940. doi: 10.1016/j.amjcard.2019.03.021. Epub 2019 Mar 19. — View Citation

* Note: There are 25 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Composite endpoint of death or re-admission due to heart failure or aggravation of heart failure symptoms. Readmission due to heart failure was defined as admission with a primary diagnosis of heart failure presenting as a new or worsening heart failure symptom or sign accompanied by elevated natriuretic peptide levels or objective evidence of imaging suggestive of pulmonary systemic congestion; He was treated for heart failure during his hospital stay. Heart failure symptoms aggravate refers to aggravate to New York cardiac function class (NYHA) III/IV Within 24 months after discharge
Secondary Changes in left ventricular ejection fraction The difference in left ventricular ejection fraction during follow-up Within 24 months after discharge
Secondary The change of BNP/NT-pro-BNP. The difference in BNP/NT-pro-BNP during follow-up Within 24 months after discharge
Secondary Changes in 6-minute walking experiment. Distance difference of 6-minute walking test during follow-up Within 24 months after discharge
Secondary Changes in patients' subjective quality of life score The difference in quality of life scores during follow-up Within 24 months after discharge
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