Cardiac Surgery - The effect of the socioeconomic status on the preoperative clinical state and on the postoperative prognosis Ofer Habakuk Summary: Cardiac surgery has become possible in an increasing number of patients due to the progress in surgical methods and the ability to give a better postoperative care. Mortality rates were once the tool for estimating the quality of care. Nevertheless, a need to distinguish between different groups of patients has risen. To answer that need, a tool which can classify every patient to a specific group according to his medical history was developed, the EuroSCORE. This tool can estimate the mortality rate of a patient after a heart surgery. Recent studies have shown that there are other factors which may attribute to the estimation of the prognosis of many patients. In the past few years there has been growing awareness to the socioeconomic background of the patient and to the level of influence that this background has on the results of the treatment. Researches that were conducted around the world shown that the socioeconomic status (SES) can influence the general level of patient’s health and his life span. These data appears to be also true in the field of cardiology. A statistically marked influence has been measured in different studies to the SES from which the patient arrived in relation to the mortality due to ischemic heart disease. Thus, the question of the degree of influence of the SES on the prognosis in the field of cardiac surgery has risen. There has been only a few studies examining this question in this area of expert, but the accumulating data shows similar results. Our study examined two questions: 1. Is there a relationship between the SES and the EuroSCORE ? 2. Is there a relationship between the SES and the postoperative mortality? In order to answer these questions the database of the cardiac surgery department of “sha’arey zedek” hospital was analyzed. Each patient from the 4205 patients that went through a cardiac surgery between 03/01/1993 and 29/01/2003 was clustered to a specific SES using the “Israeli LAMAS”. In order to answer the first question, a cross-match was made between the assigned SES and the EuroSCORE of the patient. In order to answer the second question, a cross-match was made between the 30 days mortality and the SES of the patients. Surprisingly, according to our results the patients who arrived to the surgery in a worse medical condition were the patients from the higher SES. A 2% difference in the EuroSCORE mortality prediction was shown in favor of the lower SES patients ( p<0.01 ). 1 Nevertheless, we failed to show a mortality difference between the different SES groups. Among the explanations for these findings we can offer : younger patients in the lower SES group and thus a better mortality prediction; different types of heart surgeries in the different SES groups; a better access of the higher SES group to the private medical system. The findings should be further investigated. 2 6. Bibliography 1. Nashef SA, Roques F, Michel P, Gauducheau E, Lemeshow S, Salamon R. European system for cardiac operative risk evaluation (EuroSCORE). Eur J Cardiothorac Surg. 1999 Jul;16(1):9-13. 2. Nashef SA, Roques F, Hammill BG, Peterson ED, Michel P, Grover FL, Wyse RK, Ferguson TB. Validation of European System for Cardiac Operative Risk Evaluation (EuroSCORE) in North American cardiac surgery. Eur J Cardiothorac Surg. 2002 Jul;22(1):101-5. 3. Sorlie PD, Backlund E, Keller JB. US mortality by economic, demographic, and social characteristics: the National Longitudinal Mortality Study.. Am J Public Health. 1995 Jul;85(7):949-56. 4. Lin CC, Rogot E, Johnson NJ, Sorlie PD, Arias E.US Census Bureau, Washington, DC 20233-8700, USA. charles.c.lin@census.gov . A further study of life expectancy by socioeconomic factors in the National Longitudinal Mortality Study. Ethn Dis. 2003 Spring;13(2):240-7. 5. Breeze E, 1Sloggett A, Fletcher A. Socioeconomic and demographic predictors of mortality and institutional residence among middle aged and older people: results from the Longitudinal Study. J Epidemiol Community Health. 1999 Dec;53(12):765-74. 6. Bopp M, Minder CE; Mortality by education in German speaking Switzerland, 1990-1997: results from the Swiss National Cohort. Int J Epidemiol. 2003 Jun;32(3):346-54. 7. Vescio MF, Smith GD, Giampaoli S; MATISS Research Group. Socio-economicposition overall and cause-specific mortality in an Italian rural population. Eur J Epidemiol. 2003;18(11):1051-8. 8. Manor O, Eisenbach Z, Israeli A, Friedlander Y. Mortality differentials among women: the Israel Longitudinal Mortality Study. Soc Sci Med. 2000 Oct;51(8):1175-88. 9. Manor O, Eisenbach Z, Peritz E, Friedlander Y. Mortality differentials among Israeli men. Am J Public Health. 1999 Dec;89(12):1807-13. 10. Suadicani P, Hein HO, Gyntelberg F. Strong mediators of social inequalities in risk of ischaemic heart disease: a six-year follow-up in the Copenhagen Male Study. Int J Epidemiol. 1997 Jun;26(3):516-22. 11. Suadicani P, Hein HO, Gyntelberg F. Socioeconomic status and ischaemic heart disease mortality in middle-aged men: importance of the duration of follow-up. The Copenhagen Male Study. Int J Epidemiol. 2001 Apr;30(2):248-55. 12. Strand BH, Tverdal A. Can cardiovascular risk factors and lifestyle explain the educational inequalities in mortality from ischaemic heart disease and from other heart diseases? 26 year follow up of 50,000 Norwegian men and women. J Epidemiol Community Health. 2004 Aug;58(8):705-9. 13. Boscarino JA, Chang J. Survival after coronary artery bypass graft surgery and community socioeconomic status: clinical and research implications. Med Care. 1999 Feb;37(2):210-6. 14. Carla Ancona, Nera Agabiti, Francesco Forastiere, Massimo Arcà, Danilo Fusco, Salvatore Ferro, Carlo A Perucci. Coronary artery bypass graft surgery: socioeconomic inequalities in access and in 30 day mortality. A populationbased study in Rome, Italy. J Epidemiol Community Health 2000;54:930-935 (December). 3