Skip to main content

Advertisement

Log in

Different independent susceptibility markers for first-ever cerebral infarction and myocardial infarction in young patients

  • Original Communication
  • Published:
Journal of Neurology Aims and scope Submit manuscript

Abstract

Cerebral infarction (CI) and myocardial infarction (MI) share some common features, but there are other differences in risk factors. The aim of our study is to determine whether there are some significantly independent susceptibility markers for them. All consecutive patients between the ages of 18 and 45 years with first-ever CI and MI during 2001–2010 were recruited to participate in the study. Using multivariate logistic regression modeling, we explore many different data, such as age at onset, sex ratio, numbers of patients with history of hypertension, smoking, drinking, and serum lipid, uric acid, prealbumin (PA), and white blood cell (WBC) count levels. Logistic regression analysis adjusted for confounders confirmed the following independent susceptibility markers for young CI patients: hypertension, admission serum PA levels, daily alcohol [odds ratio (OR), 0.251; 95% confidence interval (CI), 0.097–0.648, p = 0.004; OR, 0.994; 95% CI, 0.988–0.999, p = 0.031; OR, 0.150; 95% CI, 0.047–0.473, p = 0.001], and for MI patients: age at onset, current smoking, serum WBC, and glucose levels (OR, 1.293; 95% CI, 1.146–1.457, p = 0.000; OR, 8.914; 95% CI, 3.575–22.231, p = 0.000; OR, 1.344; 95% CI, 1.169–1.544, p = 0.000; OR, 1.149; 95% CI, 1.022–1.291, p = 0.020). We conclude that there are some significantly different independent susceptibility markers for young CI and MI patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Tunstall-Pedoe H, Kuulasmaa K, Amouyel P, Arveiler D, Rajakangas AM, Pajak A (1994) Myocardial infarction and coronary deaths in the World Health Organization MONICA Project. Registration procedures, event rates, and case-fatality rates in 38 populations from 21 countries in four continents. Circulation 90:583–612

    Article  PubMed  CAS  Google Scholar 

  2. Hankey GJ, Warlow CP (1999) Treatment and secondary prevention of stroke: evidence, costs, and effects on individuals and populations. Lancet 354:1457–1463

    Article  PubMed  CAS  Google Scholar 

  3. Coca A, Messerli FH, Benetos A, Zhou Q, Champion A, Cooper-DeHoff RM, Pepine CJ (2008) Predicting stroke risk in hypertensive patients with coronary artery disease: a report from the INVEST. Stroke 39(2):343–348

    Article  PubMed  Google Scholar 

  4. Ikram MA, van Oijen M, de Jong FJ, Kors JA, Koudstaal PJ, Hofman A, Witteman JC, Breteler MM (2008) Unrecognized myocardial infarction in relation to risk of dementia and cerebral small vessel disease. Stroke 39(5):1421–1426

    Article  PubMed  Google Scholar 

  5. Adams HP Jr, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, Marsh EE (1993) Classification of subtype of acute ischemic stroke: definitions for use in a multicenter clinical trial. TOAST: trial of Org 10172 in acute stroke treatment. Stroke 24:35–41

    Article  PubMed  Google Scholar 

  6. Gillum RF, Fortmann SP, Prineas RJ, Kottke TE (1984) International diagnosis criteria for acute myocardial infarction and acute stroke. Am Heart J 108:150–158

    Article  PubMed  CAS  Google Scholar 

  7. Uchiyama S, Shibata Y, Hirabayashi T, Mihara B, Hamashige N, Kitagawa K, Goto S, Origasa H, Shimada K, Kobayashi H, Isozaki M, Ikeda Y (2010) J-TRACE Investigators. Risk factor profiles of stroke, myocardial infarction, and atrial fibrillation: a Japanese Multicenter Cooperative Registry. J Stroke Cerebrovasc Dis 19(3):190–197

    Google Scholar 

  8. Bang OY, Park HY, Lee PH, Kim GM, Chung CS, Lee KH (2007) Improved outcome after atherosclerotic stroke in male smoker. J Neurol Sci 15; 260(1–2):43–8

    Google Scholar 

  9. Bos S, Grobbee DE, Boer JM, Verschuren WM, Beulens JW (2010) Alcohol consumption and risk of cardiovascular disease among hypertensive women. Eur J Cardiovasc Prev Rehabil 17(1):119–126

    Article  PubMed  Google Scholar 

  10. Russell M, Chu BC, Banerjee A, Fan AZ, Trevisan M, Dorn JM, Gruenewald P (2009) Drinking patterns and myocardial infarction: a linear dose-response model. Alcohol Clin Exp Res 33(2):324–331

    Article  PubMed  Google Scholar 

  11. O’Donnell MJ, Xavier D, Liu L, Zhang H, Chin SL, Rao-Melacini P, Rangarajan S, Islam S, Pais P, McQueen MJ, Mondo C, Damasceno A, Lopez-Jaramillo P, Hankey GJ, Dans AL, Yusoff K, Truelsen T, Diener HC, Sacco RL, Ryglewicz D, Czlonkowska A, Weimar C, Wang X, Yusuf S (2010) INTERSTROKE investigators. Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study. Lancet 10; 376(9735):112–23

    Google Scholar 

  12. Wasay M, Kaul S, Menon B, Venketasubramanian N, Gunaratne P, Khalifa A, Poungvarin N, Saadatnia M, Gan RN, Dai A, Mehndiratta MM (2010) Ischemic stroke in young Asian women: risk factors, subtypes and outcome. Cerebrovasc Dis 30(4):418–422

    Article  PubMed  Google Scholar 

  13. Fang XH, Zhang XH, Yang QD, Dai XY, Su FZ, Rao ML, Wu SP, Du XL, Wang WZ (2006) Li SC.Subtype hypertension and risk of stroke in middle-aged and older Chinese: A 10-year follow-up study. Stroke 37:38–43

    Article  PubMed  Google Scholar 

  14. Franklin SS, Larson MG, Khan SA, Wong ND, Leip EP, Kannel WB, Levy D (2001) Does the relation of blood pressure to coronary heart disease risk change with aging? The Framingham heart study. Circulation 103(9):1245–1249

    Article  PubMed  CAS  Google Scholar 

  15. Kannel WB (2000) Fifty years of Framingham study contributions to understanding hypertension. J Hum Hypertens 14:83–90

    Article  PubMed  CAS  Google Scholar 

  16. Nakamura H, Arakawa K, Itakura H, Kitabatake A, Goto Y, Toyota T, Nakaya N, Nishimoto S, Muranaka M, Yamamoto A, Mizuno K, Ohashi Y (2006) MEGA Study Group. Primary prevention of cardiovascular disease with pravastatin in Japan (MEGA study): a prospective randomized controlled trial. Lancet 368:1155–1163

    Article  PubMed  CAS  Google Scholar 

  17. Okayama A, Kadowaki T, Okamura T, Hayakawa T, Ueshima H (2006) NIPPON DATA80 research group: age-specific effects of systolic and diastolic blood pressure on mortality due to cardiovascular diseases among Japanese men. J Hypertens 24:459–462

    Article  PubMed  CAS  Google Scholar 

  18. Madjid M, Awan I, Willerson JT, Casscells SW (2004) Leukocyte count and coronary heart disease: implications for risk assessment. J Am Coll Cardiol 44:1945–1956

    Article  PubMed  Google Scholar 

  19. Ruggiero C, Metter EJ, Cherubini A, Maggio M, Sen R, Najjar SS, Windham GB, Ble A, Senin U, Ferrucci L (2007) White blood cell count and mortality in the Baltimore longitudinal study of aging. J Am Coll Cardiol 49:1841–1850

    Article  PubMed  Google Scholar 

  20. Horne BD, Anderson JL, John JM, Weaver A, Bair TL, Jensen KR, Renlund DG, Muhlestein JB (2005) Intermountain Heart Collaborative Study Group: which white blood cell subtypes predict increased cardiovascular risk? J Am Coll Cardiol 45:1638–1643

    Article  PubMed  Google Scholar 

  21. Hajj-Ali R, Zareba W, Ezzeddine R, Moss AJ (2001) Relation of the leukocyte count to recurrent cardiac events in stable patients after acute myocardial infarction. Am J Cardiol 88:1221–1224

    Article  PubMed  CAS  Google Scholar 

  22. Kojima S, Sakamoto T, Ishihara M, Kimura K, Miyazaki S, Tei C, Hiraoka H, Sonoda M, Tsuchihashi K, Yamagishi M, Inoue T, Asada Y, Ikeda Y, Shirai M, Ogawa H (2004) Japanese Acute Coronary Syndrome Study investigators: the white blood cell count is an independent predictor of non-reflow and mortality following acute myocardial infarction in the coronary intervention era. Ann Med 36:153–160

    Article  PubMed  Google Scholar 

  23. Menon V, Lessard D, Yarzebski J, Furman MI, Gore JM, Goldberg RJ (2003) Leukocytosis and adverse hospital outcomes after acute myocardial infarction. Am J Cardiol 92:368–372

    Article  PubMed  Google Scholar 

  24. Li C, Engström G, Hedblad B (2010) Leukocyte count is associated with incidence of coronary events, but not with stroke: a prospective cohort study. Atherosclerosis 209(2):545–550

    Article  PubMed  CAS  Google Scholar 

  25. Hsu CW, Chen HH, Sheu WH, Chu SJ, Shen YS, Wu CP, Chien KL (2007) Initial serum glucose level as a prognostic factor in the first acute myocardial infarction. Ann Emerg Med 49:618–626

    Article  PubMed  Google Scholar 

  26. Chen JH, Tseng CL, Tsai SH, Chiu WT (2010) Initial serum glucose level and white blood cell predict ventricular arrhythmia after first acute myocardial infarction. Am J Emerg Med 28(4):418–423

    Article  PubMed  Google Scholar 

  27. Kopple JD, Mehrotra R, Suppasyndh O, Kalantar-Zadeh K (2002) Observations with regard to the National Kidney Foundation K/DOQI clinical practice guidelines concerning serum transthyretin in chronic renal failure. Clin Chem Lab Med 40:1308–1312

    Article  PubMed  CAS  Google Scholar 

  28. Kaysen GA (2005) Effects of inflammation on plasma composition and endothelial structure and function. J Ren Nutr 15:94–98

    Article  PubMed  Google Scholar 

  29. Gao C, Zhang B, Zhang W, Pu S, Yin J, Gao Q (2010) Serum prealbumin (transthyretin) predict good outcome in young patients with cerebral infarction. Clin Exp Med. 2010 Jun 10 (Epub ahead of print)

  30. Kaysen GA, Don BR (2003) Factors that affect albumin concentration in dialysis patients and their relationship to vascular disease. Kidney Int Suppl 84:94–97

    Article  Google Scholar 

  31. Beddhu S, Kaysen GA, Yan G, Sarnak M, Agodoa L, Ornt D, Cheung AK (2002) HEMO Study Group: association of serum albumin and atherosclerosis in chronic hemodialysis patients. Am J Kidney Dis 40(4):721–727

    Article  PubMed  CAS  Google Scholar 

  32. Terrier N, Senécal L, Dupuy AM, Jaussent I, Delcourt C, Leray H, Rafaelsen S, Bosc JY, Maurice F, Canaud B, Cristol JP (2005) Association between novel indices of malnutrition-inflammation complex syndrome and cardiovascular disease in hemodialysis patients. Hemodial Int 9(2):159–168

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This study was supported by grant Guangdong Provincial Science and Technology Program, grant 2009B030801363 and Guangzhou pearl rivers science and technology star plan, 2012017.

Conflicts of interest

The authors declare that they have no competing interests.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cong Gao.

Additional information

Bin Zhang and Cong Gao are the co-first authors.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, B., Gao, C., Hou, Q. et al. Different independent susceptibility markers for first-ever cerebral infarction and myocardial infarction in young patients. J Neurol 259, 1420–1425 (2012). https://doi.org/10.1007/s00415-011-6368-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00415-011-6368-3

Keywords

Navigation