Construction and Validation of a Predictive Model for Coronary Artery Disease Using Extreme Gradient Boosting

References

• Vaduganathan M, Mensah GA, Turco JV, et al. The global burden of cardiovascular diseases and risk: a compass for future health. J Am Coll Cardiol. 2022;80:2361–2371. doi:10.1016/j.jacc.2022.11.005
   PubMed Web of Science ®Google Scholar
• Wolf D, Ley K. Immunity and Inflammation in Atherosclerosis. Circ Res. 2019;124:315–327. doi:10.1161/CIRCRESAHA.118.313591
   PubMed Web of Science ®Google Scholar
• Kong P, Cui ZY, Huang XF, et al. Inflammation and atherosclerosis: signaling pathways and therapeutic intervention. Signal Transduct Target Ther. 2022;7:131. doi:10.1038/s41392-022-00955-7
   PubMed Web of Science ®Google Scholar
• Peper J, Becker LM, Van Den Berg H, et al. Diagnostic Performance of CCTA and CT-FFR for the Detection of CAD in TAVR work-up. JACC: Cardiovasc Interv. 2022;15(11):1140–1149.
   PubMed Web of Science ®Google Scholar
• De Gonzalo-Calvo D, Vilades D, Martínez-Camblor P, et al. Circulating microRNAs in suspected stable coronary artery disease: a coronary computed tomography angiography study. J Intern Med. 2019;286(3):341–355.
   PubMed Web of Science ®Google Scholar
• Messerli M, Panadero AL, Giannopoulos AA, et al. Enhanced radiation exposure associated with anterior-posterior x-ray tube position in young women undergoing cardiac computed tomography. Am Heart J. 2019;215:91–94.
   PubMed Web of Science ®Google Scholar
• Fahed AC, Wang M, Patel AP, et al. Association of the interaction between familial hypercholesterolemia variants and adherence to a healthy lifestyle with risk of coronary artery disease. JAMA Network Open. 2022;5:e222687.
   PubMed Web of Science ®Google Scholar
• Ference BA, Graham I, Tokgozoglu L, et al. Impact of lipids on cardiovascular health. JACC Health Promotion Series. J Am Coll Cardiol. 2018;72:1141–1156.
   PubMed Web of Science ®Google Scholar
• Yang X, Li Q, Liu D, et al. Joint effect of physical activity and blood lipid levels on all-cause and cardiovascular disease mortality: the Rural Chinese Cohort Study. Nutr, Metab Cardiovasc Dis. 2022;32:1445–1453.
   PubMed Web of Science ®Google Scholar
• Haug CJ, Drazen JM. Artificial intelligence and machine learning in clinical medicine, 2023. N Engl J Med. 2023;388:1201–1208. doi:10.1056/NEJMra2302038
   PubMedGoogle Scholar
• Forrest IS, Petrazzini BO, Duffy Á, et al. Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts. Lancet. 2023;401:215–225. doi:10.1016/S0140-6736(22)02079-7
   PubMed Web of Science ®Google Scholar
• Al’aref SJ, Maliakal G, Singh G, et al. Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry. Eur Heart J. 2020;41:359–367. doi:10.1093/eurheartj/ehz565
   PubMed Web of Science ®Google Scholar
• Collins GS, Reitsma JB, Altman DG, et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMJ. 2015;350:g7594. doi:10.1136/bmj.g7594
   PubMed Web of Science ®Google Scholar
• Xue B, Li D, Lu C, et al. Use of machine learning to develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications. JAMA Network Open. 2021;4:e212240. doi:10.1001/jamanetworkopen.2021.2240
   PubMed Web of Science ®Google Scholar
• Tideman LEM, Migas LG, Djambazova KV, et al. Automated biomarker candidate discovery in imaging mass spectrometry data through spatially localized Shapley additive explanations. Anal Chim Acta. 2021;1177:338522. doi:10.1016/j.aca.2021.338522
   PubMed Web of Science ®Google Scholar
• Hamer M, O’donovan G, Stamatakis E. High-density lipoprotein cholesterol and mortality: too much of a good thing? Arterioscler Thromb Vasc Biol. 2018;38(3):669–672. doi:10.1161/ATVBAHA.117.310587
   PubMed Web of Science ®Google Scholar
• Chen Y, Zhang F, Sun J, et al. Identifying the natural products in the treatment of atherosclerosis by increasing HDL-C level based on bioinformatics analysis, molecular docking, and in vitro experiment. J Transl Med. 2023;21:920. doi:10.1186/s12967-023-04755-7
   PubMed Web of Science ®Google Scholar
• Rohatgi A, Westerterp M, Von Eckardstein A, et al. HDL in the 21st century: a multifunctional roadmap for future HDL research. Circulation. 2021;143:2293–2309. doi:10.1161/CIRCULATIONAHA.120.044221
   PubMed Web of Science ®Google Scholar
• Cupido AJ, Reeskamp LF, Hingorani AD, et al. Joint genetic inhibition of PCSK9 and CETP and the association with coronary artery disease: a factorial Mendelian randomization study. JAMA Cardiol. 2022;7:955–964. doi:10.1001/jamacardio.2022.2333
   PubMed Web of Science ®Google Scholar
• Smith ML, Bull CJ, Holmes MV, et al. Distinct metabolic features of genetic liability to type 2 diabetes and coronary artery disease: a reverse Mendelian randomization study. EBioMedicine. 2023;90:104503. doi:10.1016/j.ebiom.2023.104503
   PubMed Web of Science ®Google Scholar
• Soppert J, Lehrke M, Marx N, et al. Lipoproteins and lipids in cardiovascular disease: from mechanistic insights to therapeutic targeting. Adv Drug Deliv Rev. 2020;159:4–33. doi:10.1016/j.addr.2020.07.019
   PubMed Web of Science ®Google Scholar
• Ouimet M, Barrett TJ, Fisher EA. HDL and Reverse cholesterol transport. Circ Res. 2019;124:1505–1518. doi:10.1161/CIRCRESAHA.119.312617
   PubMed Web of Science ®Google Scholar
• Lavie CJ, Laddu D, Arena R, et al. Healthy weight and obesity prevention: JACC health promotion series. J Am Coll Cardiol. 2018;72:1506–1531. doi:10.1016/j.jacc.2018.08.1037
   PubMed Web of Science ®Google Scholar
• Powell-Wiley TM, Poirier P, Burke LE, et al. Obesity and cardiovascular disease: a scientific statement from the American heart association. Circulation. 2021;143:e984–e1010. doi:10.1161/CIR.0000000000000973
   PubMed Web of Science ®Google Scholar
• Rotariu D, Babes EE, Tit DM, et al. Oxidative stress - Complex pathological issues concerning the hallmark of cardiovascular and metabolic disorders. Biomed Pharmacother. 2022;152:113238. doi:10.1016/j.biopha.2022.113238
   PubMed Web of Science ®Google Scholar
• Eley VA, Thuzar M, Navarro S, et al. Obesity, metabolic syndrome, and inflammation: an update for anaesthetists caring for patients with obesity. Anaesth Crit Care Pain Med. 2021;40(6):100947. doi:10.1016/j.accpm.2021.100947
   PubMed Web of Science ®Google Scholar
• Ait-Aissa K, Nguyen QM, Gabani M, et al. MicroRNAs and obesity-induced endothelial dysfunction: key paradigms in molecular therapy. Cardiovasc Diabetol. 2020;19:136. doi:10.1186/s12933-020-01107-3
   PubMed Web of Science ®Google Scholar
• Zheng X, Yu H, Qiu X, et al. The effects of a nurse-led lifestyle intervention program on cardiovascular risk, self-efficacy and health promoting behaviours among patients with metabolic syndrome: randomized controlled trial. Int J Nurs Stud. 2020;109:103638. doi:10.1016/j.ijnurstu.2020.103638
   PubMed Web of Science ®Google Scholar
• Ma C, Avenell A, Bolland M, et al. Effects of weight loss interventions for adults who are obese on mortality, cardiovascular disease, and cancer: systematic review and meta-analysis. BMJ. 2017;359:j4849. doi:10.1136/bmj.j4849
   PubMed Web of Science ®Google Scholar
• Jamshed H, Steger FL, Bryan DR, et al. Effectiveness of early time-restricted eating for weight loss, fat loss, and cardiometabolic health in adults with obesity: a randomized clinical trial. JAMA Intern Med. 2022;182:953–962.
   PubMed Web of Science ®Google Scholar
• Aminian A, Al-Kurd A, Wilson R, et al. Association of bariatric surgery with major adverse liver and cardiovascular outcomes in patients with biopsy-proven nonalcoholic steatohepatitis. JAMA. 2021;326:2031–2042. doi:10.1001/jama.2021.19569
   PubMed Web of Science ®Google Scholar
• Courcoulas AP, Daigle CR, Arterburn DE. Long term outcomes of metabolic/bariatric surgery in adults. BMJ. 2023;383:e071027. doi:10.1136/bmj-2022-071027
   PubMedGoogle Scholar
• Mundal LJ, Igland J, Veierød MB, et al. Impact of age on excess risk of coronary heart disease in patients with familial hypercholesterolaemia. Heart. 2018;104:1600–1607. doi:10.1136/heartjnl-2017-312706
   PubMed Web of Science ®Google Scholar
• Peng J, Xing CY, Zhao K, et al. Associations of pro-protein convertase subtilisin-like kexin type 9, soluble low-density lipoprotein receptor and coronary artery disease: a case-control study. Int J Cardiol. 2022;350:9–15. doi:10.1016/j.ijcard.2022.01.014
   PubMed Web of Science ®Google Scholar
• Matyas C, Trojnar E, Zhao S, et al. PCSK9, A promising novel target for age-related cardiovascular dysfunction. JACC Basic Transl Sci. 2023;8:1334–1353. doi:10.1016/j.jacbts.2023.06.005
   PubMedGoogle Scholar
• Mohammad S, Nguyen H, Nguyen M, et al. Pleiotropic effects of statins: untapped potential for statin pharmacotherapy. Curr Vasc Pharmacol. 2019;17:239–261. doi:10.2174/1570161116666180723120608
   PubMed Web of Science ®Google Scholar
• Fici F, Faikoglu G, Tarim BA, et al. Pitavastatin: coronary atherosclerotic plaques changes and cardiovascular prevention. High Blood Press Cardiovasc Prev. 2022;29:137–144.
   PubMed Web of Science ®Google Scholar
• Ginsberg HN, Packard CJ, Chapman MJ, et al. Triglyceride-rich lipoproteins and their remnants: metabolic insights, role in atherosclerotic cardiovascular disease, and emerging therapeutic strategies-A consensus statement from the European Atherosclerosis Society. Eur Heart J. 2021;42:4791–4806.
   PubMed Web of Science ®Google Scholar
• Sarwar N, Danesh J, Eiriksdottir G, et al. Triglycerides and the risk of coronary heart disease: 10,158 incident cases among 262,525 participants in 29 Western prospective studies. Circulation. 2007;115:450–458.
   PubMed Web of Science ®Google Scholar
• Faergeman O, Holme I, Fayyad R, et al. Plasma triglycerides and cardiovascular events in the treating to new targets and incremental decrease in end-points through aggressive lipid lowering trials of statins in patients with coronary artery disease. Am J Cardiol. 2009;104:459–463.
   PubMed Web of Science ®Google Scholar
• Do R, Willer CJ, Schmidt EM, et al. Common variants associated with plasma triglycerides and risk for coronary artery disease. Nat Genet. 2013;45:1345–1352.
   PubMed Web of Science ®Google Scholar
• Thomsen M, Varbo A, Tybjærg-Hansen A, et al. Low nonfasting triglycerides and reduced all-cause mortality: a Mendelian randomization study. Clin Chem. 2014;60:737–746.
   PubMed Web of Science ®Google Scholar
• Tyrrell DJ, Goldstein DR. Ageing and atherosclerosis: vascular intrinsic and extrinsic factors and potential role of IL-6. Nat Rev Cardiol. 2021;18:58–68.
   PubMed Web of Science ®Google Scholar
• Man JJ, Beckman JA, Jaffe IZ. Sex as a Biological Variable in Atherosclerosis. Circ Res. 2020;126:1297–1319.
   PubMed Web of Science ®Google Scholar
• Higashi Y. Smoking cessation and vascular endothelial function. Hypertens Res. 2023;46:2670–2678.
   PubMed Web of Science ®Google Scholar
• Hu C, Huang C, Li J, et al. Causal associations of alcohol consumption with cardiovascular diseases and all-cause mortality among Chinese males. Am J Clin Nutr. 2022;116:771–779.
   PubMed Web of Science ®Google Scholar
• Razo C, Welgan CA, Johnson CO, et al. Effects of elevated systolic blood pressure on ischemic heart disease: a burden of proof study. Nat Med. 2022;28:2056–2065.
   PubMed Web of Science ®Google Scholar
• Dąbrowska E, Narkiewicz K. Hypertension and dyslipidemia: the two partners in endothelium-related crime. Curr Atheroscler Rep. 2023;25:605–612.
   PubMed Web of Science ®Google Scholar
• Tagi VM, Mainieri F, Chiarelli F. Hypertension in patients with Insulin Resistance: etiopathogenesis and management in children. Int J Mol Sci. 2022;23:5814.
   PubMed Web of Science ®Google Scholar
• Berger S, Raman G, Vishwanathan R, et al. Dietary cholesterol and cardiovascular disease: a systematic review and meta-analysis. Am J Clin Nutr. 2015;102:276–294.
   PubMed Web of Science ®Google Scholar
• Poznyak A, Grechko AV, Poggio P, et al. The diabetes mellitus-atherosclerosis connection: the role of lipid and glucose metabolism and chronic inflammation. Int J Mol Sci. 2020;21:1835.
   PubMed Web of Science ®Google Scholar
• Chen G, Levy D. Contributions of the Framingham heart study to the epidemiology of coronary heart disease. JAMA Cardiol. 2016;1:825–830.
   PubMed Web of Science ®Google Scholar
• Cheng J, Zhao D, Zeng Z, et al. The impact of demographic and risk factor changes on coronary heart disease deaths in Beijing, 1999–2010. BMC Public Health. 2009;9:30.
   PubMed Web of Science ®Google Scholar
• Wang C, Zhao Y, Jin B, et al. Development and validation of a predictive model for coronary artery disease using machine learning. Front Cardiovasc Med. 2021;8:614204.
   PubMed Web of Science ®Google Scholar
• Damen JA, Hooft L, Schuit E, et al. Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ. 2016;353:i2416.
   PubMed Web of Science ®Google Scholar
• He T, Liu X, Xu N, et al. Diagnostic models of the pre-test probability of stable coronary artery disease: a systematic review. Clinics. 2017;72:188–196.
   PubMed Web of Science ®Google Scholar