The clinical characteristics, managements, and outcomes of acute myocardial infarction in osteoarthritis patients; a cross-sectional analysis of 6.5 million patients

References

• Hall AJ, Stubbs B, Mamas MA, et al. Association between osteoarthritis and cardiovascular disease: systematic review and meta-analysis. Eur J Prev Cardiol. 2016;23(9):938–946. doi: 10.1177/2047487315610663
   PubMed Web of Science ®Google Scholar
• Mathieu S, Couderc M, Tournadre A, et al. Cardiovascular profile in osteoarthritis: a meta-analysis of cardiovascular events and risk factors. Joint Bone Spine. 2019;86(6):679–684. doi: 10.1016/j.jbspin.2019.06.013
   PubMed Web of Science ®Google Scholar
• Murray CJL, Vos T, Lozano R, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2012;380(9859):2197–2223. doi: 10.1016/S0140-6736(12)61689-4
   PubMed Web of Science ®Google Scholar
• Ferrucci L, Fabbri E. Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty. Nat Rev Cardiol. 2018;15(9):505–522. doi: 10.1038/s41569-018-0064-2
   PubMed Web of Science ®Google Scholar
• Kapoor M, Martel-Pelletier J, Lajeunesse D, et al. Role of proinflammatory cytokines in the pathophysiology of osteoarthritis. Nat Rev Rheumatol. 2011;7(1):33–42. doi: 10.1038/nrrheum.2010.196
   PubMed Web of Science ®Google Scholar
• Mobasheri A, Batt M. An update on the pathophysiology of osteoarthritis. Ann Phys Rehabil Med. 2016;59(5–6):333–339. doi: 10.1016/j.rehab.2016.07.004
   PubMed Web of Science ®Google Scholar
• Symmons DPM, Gabriel SE. Epidemiology of CVD in rheumatic disease, with a focus on RA and SLE. Nat Rev Rheumatol. 2011;7(7):399–408. doi: 10.1038/nrrheum.2011.75
   PubMed Web of Science ®Google Scholar
• Rahman MM, Kopec JA, Anis AH, et al. Risk of cardiovascular disease in patients with osteoarthritis: a prospective longitudinal study. Arthritis Care Res. 2013;65(12):1951–1958. doi: 10.1002/acr.22092
   Web of Science ®Google Scholar
• Schieir O, Tosevski C, Glazier RH, et al. Incident myocardial infarction associated with major types of arthritis in the general population: a systematic review and meta-analysis. Ann Rheum Dis. 2017;76(8):1396–1404. doi: 10.1136/annrheumdis-2016-210275
   PubMed Web of Science ®Google Scholar
• Healthcare Cost and Utilisation Project. NIS Overview 2019 [accessed 2020 Mar 29]. Available from: https://www.hcup-us.ahrq.gov/nisoverview.jsp
   Google Scholar
• Bharadwaj A, Potts J, Mohamed MO, et al. Acute myocardial infarction treatments and outcomes in 6.5 million patients with a current or historical diagnosis of cancer in the USA. Eur Heart J. 2020;41(23):2183–2193. doi: 10.1093/eurheartj/ehz851
   PubMed Web of Science ®Google Scholar
• Mohamed MO, Rashid M, Farooq S, et al. Acute myocardial infarction in severe mental illness: prevalence, clinical outcomes, and process of care in U.S. hospitalizations. Can J Cardiol. 2019;35(7):821–830. doi: 10.1016/j.cjca.2019.04.021
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. ICD – ICD-9-CM – International classification of diseases, ninth revision, clinical modification. 2015 [accessed 2020 Mar 29]. Available from: https://www.cdc.gov/nchs/icd/icd9cm.htm
   Google Scholar
• Anderson JL, Morrow DA, Campion EW. Acute myocardial infarction. N Engl J Med. 2017;376(21):2053–2064. doi: 10.1056/NEJMra1606915
   PubMed Web of Science ®Google Scholar
• Yu D, Jordan KP, Peat G. Underrecording of osteoarthritis in united kingdom primary care electronic health record data. Clin Epidemiol. 2018;10:1195–1201. doi: 10.2147/CLEP.S160059
   Google Scholar
• Cisternas MG, Murphy L, Sacks JJ, et al. Alternative methods for defining osteoarthritis and the impact on estimating prevalence in a US population-based survey. Arthritis Care Res. 2016;68(5):574–580. doi: 10.1002/acr.22721
   PubMed Web of Science ®Google Scholar
• Thomas E, Wilkie R, Peat G, et al. The North Staffordshire Osteoarthritis Project – NorStOP: prospective, 3-year study of the epidemiology and management of clinical osteoarthritis in a general population of older adults. BMC Musculoskelet Disord. 2004;5(1):1–7. doi: 10.1186/1471-2474-5-2
   PubMedGoogle Scholar
• National Joint Registry. 16th Annual Report. 2019.
   Google Scholar
• Mohamed MO, Roddy E, Ya’qoub L, et al. Acute myocardial infarction in autoimmune rheumatologic disease: a nationwide analysis of clinical outcomes and predictors of management strategy. Mayo Clin Proc. 2021;96(2):388–399. doi: 10.1016/j.mayocp.2020.04.044
   PubMed Web of Science ®Google Scholar
• Zhang F, Bharadwaj A, Mohamed MO, et al. Impact of Charlson co-morbidity index score on management and outcomes after scute coronary syndrome. Am J Cardiol. 2020;130:15–23. doi: 10.1016/j.amjcard.2020.06.022
   PubMed Web of Science ®Google Scholar
• Zhang F, Mohamed MO, Ensor J, et al. Temporal trends in comorbidity burden and impact on prognosis in patients with acute coronary syndrome using the elixhauser comorbidity index score. Am J Cardiol. 2020;125(11):1603–1611. doi: 10.1016/j.amjcard.2020.02.044
   PubMed Web of Science ®Google Scholar
• Keeley EC, Boura JA, Grines CL. Primary angioplasty versus intravenous thrombolytic therapy for acute myocardial infarction: a quantitative review of 23 randomised trials. Lancet. 2003;361(9351):13–20. doi: 10.1016/S0140-6736(03)12113-7
   PubMed Web of Science ®Google Scholar
• Elgendy IY, Mahmoud AN, Wen X, et al. Meta-analysis of randomized trials of long-term all-cause mortality in patients with non–sT-elevation acute coronary syndrome managed with routine invasive versus selective invasive strategies. Am J Cardiol. 2017;119(4):560–564. doi: 10.1016/j.amjcard.2016.11.005
   PubMed Web of Science ®Google Scholar
• Elgendy IY, Kumbhani DJ, Mahmoud AN, et al. Routine invasive versus selective invasive strategies for non-ST-elevation acute coronary syndromes: an updated meta-analysis of randomized trials. Catheter Cardiovasc Interv. 2016;88(5):765–774. doi: 10.1002/ccd.26679
   PubMed Web of Science ®Google Scholar
• Andersen HR, Nielsen TT, Rasmussen K, et al. A comparison of coronary angioplasty with fibrinolytic therapy in acute myocardial infarction. N Engl J Med. 2003;349(8):733–742. doi: 10.1056/NEJMoa025142
   PubMed Web of Science ®Google Scholar
• Wilkie R, Parmar SS, Blagojevic-Bucknall M, et al. Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model. RMD Open. 2019;5(2):e001048. doi: 10.1136/rmdopen-2019-001048
   PubMed Web of Science ®Google Scholar
• Lee Y-H, Armstrong EJ, Kim G, et al. Undiagnosed diabetes is prevalent in younger adults and associated with a higher risk cardiometabolic profile compared to diagnosed diabetes. Am Heart J. 2015;170(4):760–769.e2. doi: 10.1016/j.ahj.2015.07.024
   PubMed Web of Science ®Google Scholar
• O’Neill TW, McCabe PS, McBeth J. Update on the epidemiology, risk factors and disease outcomes of osteoarthritis. Best Pract Res Clin Rheumatol. 2018;32(2):312–326. doi: 10.1016/j.berh.2018.10.007
   PubMed Web of Science ®Google Scholar
• Zhang Y, Jordan JM. Epidemiology of osteoarthritis. Clin Geriatr Med. 2010;26(3):355–369. doi: 10.1016/j.cger.2010.03.001
   PubMed Web of Science ®Google Scholar
• McCormick N, Lacaille D, Bhole V, et al. Validity of myocardial infarction diagnoses in administrative databases: a systematic review. PloS One. 2014;9(3):e92286. doi: 10.1371/journal.pone.0092286
   PubMed Web of Science ®Google Scholar
• Petersen LA, Wright S, Normand SLT, et al. Positive predictive value of the diagnosis of acute myocardial infarction in an administrative database. J Gen Intern Med. 1999;14(9):555–558. doi: 10.1046/j.1525-1497.1999.10198.x
   PubMed Web of Science ®Google Scholar
• Quan H, Parsons GA, Ghali WA. Validity of procedure codes in international classification of diseases, 9th revision, clinical modification administrative data. Med care. 2004;42(8):801–809. doi: 10.1097/01.mlr.0000132391.59713.0d
   PubMed Web of Science ®Google Scholar
• Quan H, Parsons GA, Ghali WA. Validity of information on comorbidity derived from ICD-9-CCM administrative data. Med Care. 2002;40(8):675–685. doi: 10.1097/00005650-200208000-00007
   PubMed Web of Science ®Google Scholar
• Fisher ES, Whaley FS, Krushat WM, et al. The accuracy of Medicare’s hospital claims data: progress has been made, but problems remain. Am J Public Health. 1992;82(2):243–248. doi: 10.2105/AJPH.82.2.243
   PubMed Web of Science ®Google Scholar
• Cattaruzzi C, Troncon MG, Agostinis L, et al. Positive predictive value of ICD–9th codes for upper gastrointestinal bleeding and perforation in the Sistema Informativo Sanitario Regionale database. J Clin Epidemiol. 1999;52(6):499–502. doi: 10.1016/S0895-4356(99)00004-9
   PubMed Web of Science ®Google Scholar
• Roumie CL, Mitchel E, Gideon PS, et al. Validation of ICD-9 codes with a high positive predictive value for incident strokes resulting in hospitalization using Medicaid health data. Pharmacoepidemiol Drug Saf. 2008;17:20–26. doi: 10.1002/pds.1518
   PubMed Web of Science ®Google Scholar
• Cheng C-L, Chien H-C, Lee C-H, et al. Validity of in-hospital mortality data among patients with acute myocardial infarction or stroke in National Health Insurance Research database in Taiwan. Int J Cardiol. 2015;201:96–101. doi: 10.1016/j.ijcard.2015.07.075
   PubMed Web of Science ®Google Scholar
• Khera R, Krumholz HM. With great power comes great responsibility: big data research from the national inpatient sample. Circ Cardiovasc Qual Outcomes. 2017;10(7):10. doi: 10.1161/CIRCOUTCOMES.117.003846
   Web of Science ®Google Scholar
• Shrestha S, Dave AJ, Losina E, et al. Diagnostic accuracy of administrative data algorithms in the diagnosis of osteoarthritis: a systematic review. BMC Med Inform Decis Mak. 2016;16(1). doi: 10.1186/s12911-016-0319-y
   PubMedGoogle Scholar
• Jencks SF, Williams DK, Kay TL. Assessing hospital-associated deaths from discharge data: the role of length of stay and comorbidities. JAMA J Am Med Assoc. 1988;260(15):2240–2246. doi: 10.1001/jama.1988.03410150088036
   PubMed Web of Science ®Google Scholar
• Iezzoni LI, Foley SM, Daley J, et al. Comorbidities, complications, and coding bias: does the number of diagnosis codes matter in predicting in-hospital mortality? JAMA J Am Med Assoc. JAMA. 1992;267(16):2197–2203. doi: 10.1001/jama.1992.03480160055034
   PubMed Web of Science ®Google Scholar
• Francis ML, Varghese JJ, Mathew JM, et al. Outcomes in patients with rheumatoid arthritis and myocardial infarction. Am J Med. 2010;123(10):922–928. doi: 10.1016/j.amjmed.2010.05.017
   PubMed Web of Science ®Google Scholar
• Elbadawi A, Ahmed HMA, Elgendy IY, et al. Outcomes of acute myocardial infarction in patients with rheumatoid arthritis. Am J Med. 2020;133(10):1168–1179.e4. doi: 10.1016/j.amjmed.2020.02.039
   PubMed Web of Science ®Google Scholar
• Varghese JJ, Koneru S, Scaife SL, et al. Mortality after coronary artery revascularization of patients with rheumatoid arthritis. J Thorac Cardiovasc Surg. 2010;140(1):91–96. doi: 10.1016/j.jtcvs.2009.09.036
   PubMed Web of Science ®Google Scholar
• McCoy SS, Crowson CS, Maradit-Kremers H, et al. Longterm outcomes and treatment after myocardial infarction in patients with rheumatoid arthritis. J Rheumatol. 2013;40(5):605–610. doi: 10.3899/jrheum.120941
   PubMed Web of Science ®Google Scholar
• Södergren A, Stegmayr B, Lundberg V, et al. Increased incidence of and impaired prognosis after acute myocardial infarction among patients with seropositive rheumatoid arthritis. Ann Rheum Dis. 2006;66(2):263–266. doi: 10.1136/ard.2006.052456
   PubMed Web of Science ®Google Scholar
• Healthcare cost and utilisation project. Nationwide inpatient sample (NIS) redesign final report. 2014.
   Google Scholar
• Varga Z, Sabzwari SRA, Vargova V. Cardiovascular Risk of Nonsteroidal Anti-Inflammatory Drugs: An Under-Recognized Public Health Issue. Cureus. 2017;9. doi: 10.7759/cureus.1144
   Google Scholar
• Atiquzzaman M, Karim ME, Kopec J, et al. Role of nonsteroidal antiinflammatory drugs in the association between osteoarthritis and cardiovascular diseases: a longitudinal study. Arthritis & Rheumat. 2019;71(11):1835–1843. doi: 10.1002/art.41027
   PubMed Web of Science ®Google Scholar