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  • Predictors of Supratentorial Deep Intracerebral Hemorrhage Volume and the Effect of the Predictors on the Short Term Mortality in Asians

    Final Number:
    1048

    Authors:
    Myung-Hoon Han MD; Jae Min Kim MD., PhD; Hyeong-Joong Yi MD, PhD; Jin Hwan Cheong MD, PhD; Yong Ko MD; Choong Hyun Kim; Young Soo Kim

    Study Design:
    Other

    Subject Category:

    Meeting: Congress of Neurological Surgeons 2016 Annual Meeting

    Introduction: The volume of intracerebral hemorrhage (ICH) measured at hospital admission is the strongest predictor of clinical outcome in ICH. Despite the high incidence rate of ICH in Asian, there was relative absence of data regarding predictors of ICH volume in Asians. The purpose of the present study was to determine predictors of deep ICH volume and the effect of predictors on the short term mortality in Asians.

    Methods: Hematoma volume was measured using the ABC/2 method. ICH volume was transformed to the natural log to normalize distributions for all analyses. We estimated the coefficients of ICH volume based on relevant predictors using multivariable linear regression. We also determined the association between body mass index and ICH volume using a regression line and a line determined by a locally weighted scatter plot smoothing.

    Results: A total of 1039 consecutive patients with primary spontaneous supratentorial deep ICH were enrolled in this study over a 12-year period from two twin hospitals in Korea. The median ICH volume was 19.7 mL. The average patient age was 59.2 years, and 62.4% of patients were men. The mean ICH volume showed a gradual, approximately 2% decrease per one body mass index increase in the current study, after adjusting for all relevant variables. (ß=-0.024; standard error (SE)=0.004; P<0.001).Relative to overweight patients, there was a 47%, 11%, and 18% increase in admission mean ICH volume in underweight, normal weight and obese patients, respectively. Patients in the first quartile and underweight BMI groups had 1.45-fold (HR,1.45; 95% CI, 1.03 to 2.03; P=0.035) and 1.77-fold higher increased risk of death during the first 3 months after ICH, retrospectively.

    Conclusions: We demonstrated the association between various predictors and admission ICH volume and short term mortality in Asians. Further studies are needed to account for these observations and determine their underlying mechanisms.

    Patient Care: If we find out the predictors of ICH volume, we able to educate patients with high risk for increasing ICH volume.

    Learning Objectives: By the conclusion of this session, participants should be able to determine predictors of deep ICH volume and the effect of predictors on the short term mortality in Asians.

    References: 1. Bazzano LA, Gu D, Whelton MR, Wu X, Chen C-S, Duan X, et al.: Body Mass Index and Risk of Stroke among Chinese Men and Women. Ann Neurol 2010;67:11–20. 2. Thrift AG, McNeil JJ, Forbes A, Donnan GA, Group for the MRFS (MERFS): Risk Factors for Cerebral Hemorrhage in the Era of Well-Controlled Hypertension. Stroke 1996;27:2020–2025. 3. Yi S-W, Odongua N, Nam CM, Sull JW, Ohrr H: Body Mass Index and Stroke Mortality by Smoking and Age at Menopause Among Korean Postmenopausal Women. Stroke 2009;40:3428–3435. 4. Park JW, Lee S-Y, Kim SY, Choe H, Jee SH: BMI and stroke risk in Korean women. Obes Silver Spring Md 2008;16:396–401. 5. Zhou M, Offer A, Yang G, Smith M, Hui G, Whitlock G, et al.: Body Mass Index, Blood Pressure, and Mortality From Stroke A Nationally Representative Prospective Study of 212 000 Chinese Men. Stroke 2008;39:753–759. 6. Song Y-M, Sung J, Davey Smith G, Ebrahim S: Body mass index and ischemic and hemorrhagic stroke: a prospective study in Korean men. Stroke 2004;35:831–836. 7. Kim S-H, Lee Y-S, Lee S-M, Yoon B-W, Park B-J: Body mass index and risk of hemorrhagic stroke in Korean adults: case-control study. J Prev Med Public Health 2007;40:313–320. 8. Al-Roomi K, Heller RF, Holland T, Floate D, Wlodarczyk J: The importance of hypertension in the aetiology of infarctive and haemorrhagic stroke. The Lower Hunter Stroke Study. Med J Aust 1992;157:452–455. 9. Falcone GJ, Biffi A, Brouwers HB, Anderson CD, Battey TWK, Ayres AM, et al.: Predictors of hematoma volume in deep and lobar supratentorial intracerebral hemorrhage. JAMA Neurol 2013;70:988–994. 10. Broderick JP, Brott TG, Duldner JE, Tomsick T, Huster G: Volume of intracerebral hemorrhage. A powerful and easy-to-use predictor of 30-day mortality. Stroke 1993;24:987–993. 11. Wasay M, Yousuf A, Lal D, Awan S: Predictors of the intracerebral hemorrhage volume in hypertensive patients. Cerebrovasc Dis Extra 2011;1:1–5. 12. Lee S-M, Park H-S, Choi J-H, Huh J-T: Location and characteristics of warfarin associated intracranial hemorrhage. J Cerebrovasc Endovasc Neurosurg 2014;16:184–192. 13. Adeleye AO, Osazuwa UA, Ogbole GI: The clinical epidemiology of spontaneous ICH in a sub-Sahara African country in the CT scan era: a neurosurgical in-hospital cross-sectional survey. Stroke 2015;169. 14. Kothari RU, Brott T, Broderick JP, Barsan WG, Sauerbeck LR, Zuccarello M, et al.: The ABCs of measuring intracerebral hemorrhage volumes. Stroke 1996;27:1304–1305. 15. Cleveland WS, Devlin SJ: Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting. J Am Stat Assoc 1988;83:596–610. 16. Yano K, Reed DM, MacLean CJ: Serum cholesterol and hemorrhagic stroke in the Honolulu Heart Program. Stroke 1989;20:1460–1465. 17. Biffi A, Cortellini L, Nearnberg CM, Ayres AM, Schwab K, Gilson AJ, et al.: Body mass index and etiology of intracerebral hemorrhage. Stroke 2011;42:2526–2530. 18. Silventoinen K, Magnusson PKE, Tynelius P, Batty GD, Rasmussen F: Association of body size and muscle strength with incidence of coronary heart disease and cerebrovascular diseases: a population-based cohort study of one million Swedish men. Int J Epidemiol 2009;38:110–118. 19. Okada H, Horibe H, Yoshiyuki O, Hayakawa N, Aoki N: A prospective study of cerebrovascular disease in Japanese rural communities, Akabane and Asahi. Part 1: evaluation of risk factors in the occurrence of cerebral hemorrhage and thrombosis. Stroke 1976;7:599–607. 20. Lin CH, Shimizu Y, Kato H, Robertson TL, Furonaka H, Kodama K, et al.: Cerebrovascular diseases in a fixed population of Hiroshima and Nagasaki, with special reference to relationship between type and risk factors. Stroke 1984;15:653–660. 21. Ueda K, Hasuo Y, Kiyohara Y, Wada J, Kawano H, Kato I, et al.: Intracerebral hemorrhage in a Japanese community, Hisayama: incidence, changing pattern during long-term follow-up, and related factors. Stroke 1988;19:48–52. 22. Rexrode KM, Hennekens CH, Willett WC, Colditz GA, Stampfer MJ, Rich-Edwards JW, et al.: A prospective study of body mass index, weight change, and risk of stroke in women. JAMA 1997;277:1539–1545. 23. Gostynski M, Gutzwiller F, Kuulasmaa K, Döring A, Ferrario M, Grafnetter D, et al.: Analysis of the relationship between total cholesterol, age, body mass index among males and females in the WHO MONICA Project. Int J Obes Relat Metab Disord J Int Assoc Study Obes 2004;28:1082–1090. 24. Woo D, Kissela BM, Khoury JC, Sauerbeck LR, Haverbusch MA, Szaflarski JP, et al.: Hypercholesterolemia, HMG-CoA Reductase Inhibitors, and Risk of Intracerebral Hemorrhage A Case–Control Study. Stroke 2004;35:1360–1364. 25. Juvela S: Prevalence of risk factors in spontaneous intracerebral hemorrhage and aneurysmal subarachnoid hemorrhage. Arch Neurol 1996;53:734–740. 26. Woo D, Sauerbeck LR, Kissela BM, Khoury JC, Szaflarski JP, Gebel J, et al.: Genetic and Environmental Risk Factors for Intracerebral Hemorrhage Preliminary Results of a Population-Based Study. Stroke 2002;33:1190–1196. 27. Qureshi AI, Suri MA, Safdar K, Ottenlips JR, Janssen RS, Frankel MR: Intracerebral hemorrhage in blacks. Risk factors, subtypes, and outcome. Stroke 1997;28:961–964. 28. González-Duarte A, Cantú C, Ruíz-Sandoval JL, Barinagarrementeria F: Recurrent primary cerebral hemorrhage: frequency, mechanisms, and prognosis. Stroke 1998;29:1802–1805. 29. Thrift AG, McNeil JJ, Forbes A, Donnan GA: Risk of primary intracerebral haemorrhage associated with aspirin and non-steroidal anti-inflammatory drugs: case-control study. BMJ 1999;318:759–764. 30. McGuirk AM, Driscoll P: The Hot Air in R2 and Consistent Measures of Explained Variation. Am J Agric Econ 1995;77:319–328. 31. King G: How Not to Lie With Statistics: Avoiding Common Mistakes in Quantitative Political Science. Am J Polit Sci 1986;30:666–687.

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