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Association between body mass index and prognosis of patients hospitalized with heart failure

Seko, Yuta 京都大学 DOI:10.14989/doctor.k23795

2022.03.23

概要

【背景】
心不全患者において肥満が良好な予後と関連することが報告されているが、低体重と予後の関連の研究は不十分である。今回の研究の目的は、Kyoto Congestive HeartFailure (KCHF) registry のデータを用いて、急性非代償性心不全入院患者における退院時の体格指数 (BMI) の分類と予後との関連を検討することである。

【方法】
KCHF Registry は、日本の19 施設において2014 年10 月から2016 年3 月までの間に入院を要した急性非代償性心不全患者が連続で登録された多施設共同前向き研究である。その中で生存退院した 3509 例を対象に、世界保健機関による BMI 分類を用いて (1) BMI < 16 kg/m2 (238 例)、(2) 16 kg/m2 ≤ BMI < 18.5 kg/m2 (632 例)、(3) 18.5kg/m2 ≤ BMI < 25 kg/m2 (2064 例、普通体重)、(4) 25 kg/m2 ≤ BMI < 30 kg/m2 (448 例)、(5) BMI ≥ 30 kg/m2 (127 例)の5 群に分類し、解析を行った。各BMI 群でのイベントの累積発生率をカプランマイヤー曲線とログランク検定を用いて検討した。さらに、18.5kg/m2 ≤ BMI < 25 kg/m2群をreference として各BMI 群のリスクを比例ハザードモデルを用いて比較した。主要アウトカム評価項目は、全死亡とした。

【結果】
追跡期間中央値は 471 日で、退院後 1 年の追跡率は 96.4%であった。主要アウトカムの1 年での累積発生率は、 BMI < 16 kg/m2群: 36.3%、16 kg/m2 ≤ BMI < 18.5kg/m2群: 23.9%、18.5 kg/m2 ≤ BMI < 25 kg/m2群: 14.4%、25 kg/m2 ≤ BMI < 30 kg/m2群: 7.9%、BMI ≥ 30 kg/m2群: 9.0% (Log-rank P<0.001)であった。主要アウトカムの調整ハザード比は18.5 kg/m2 ≤ BMI < 25 kg/m2群と比較して、BMI < 16 kg/m2群 (HR,2.32; 95% CI, 1.83-2.94; P<0.001)、16 kg/m2 ≤ BMI < 18.5 kg/m2群 (HR, 1.31; 95% CI,1.08-1.59; P=0.005)において有意に高く、25 kg/m2 ≤ BMI < 30 kg/m2群 (HR, 0.82; 95%CI, 0.62-1.10; P=0.18)、BMI ≥ 30 kg/m2群 (HR, 1.09; 95% CI, 0.65-1.85; P=0.74)では有意差は認めなかった。

【結論】
体格指数が低い患者は、普通体重群と比較して全死亡の増加と関連を認め、体格指数が非常に低い患者ではその傾向が大きかった。

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参考文献

1. Calle, E. E., Tun, M. J., Petrelli, J. M., Rodriguez, C. & Heath, C. W. Jr. Body-mass index and mortality in a prospective cohort of US adults. N. Engl. J. Med. 341(15), 1097–1105. https://doi.org/10.1056/NEJM199910073411501 (1999).

2. Kenchaiah, S. et al. Obesity and the risk of heart failure. N. Engl. J. Med. 347, 305–313. https://doi.org/10.1056/NEJMoa020245 (2002).

3. Levitan, E. B., Yang, A. Z., Wolk, A. & Mittleman, M. A. Adiposity and incidence of heart failure hospitalization and mortality: a population-based prospective study. Circ. Heart Fail. 2, 202–208. https://doi.org/10.1161/CIRCHEARTFAILURE.108.794099 (2009).

4. Fonarow, G. C. et al. An obesity paradox in acute heart failure: analysis of body mass index and inhospital mortality for 108,927 patients in the Acute Decompensated Heart Failure National Registry. Am. Heart J. 153, 74–81. https://doi.org/10.1016/j. ahj.2006.09.007 (2007).

5. Kenchaiah, S. et al. Body mass index and prognosis in patients with chronic heart failure: insights from the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) program. Circulation 116, 627–636. https://doi. org/10.1161/CIRCULATIONAHA.106.679779 (2007).

6. Lavie, C. J. et al. Impact of obesity and the obesity paradox on prevalence and prognosis in heart failure. JACC Heart Fail. 1, 93–102. https://doi.org/10.1016/j.jchf.2013.01.006 (2013).

7. Shah, R. et al. Body mass index and mortality in acutely decompensated heart failure across the world: a global obesity paradox. J. Am. Coll. Cardiol. 63, 778–785. https://doi.org/10.1016/j.jacc.2013.09.072 (2014).

8. Sharma, A. et al. Meta-analysis of the relation of body mass index to all-cause and cardiovascular mortality and hospitalization in patients with chronic heart failure. Am. J. Cardiol. 115, 1428–1434. https://doi.org/10.1016/j.amjcard.2015.02.024 (2015).

9. Zhou, B. F. et al. Nutrient intakes of middle-aged men and women in China, Japan, United Kingdom, and United States in the late 1990s: the INTERMAP study. J. Hum. Hypertens. 17, 623–630. https://doi.org/10.1038/sj.jhh.1001605 (2003).

10. Filippatos, G. et al. Global diferences in characteristics, precipitants, and initial management of patients presenting with acute heart failure. JAMA Cardiol. https://doi.org/10.1001/jamacardio.2019.5108 (2020).

11. Yaku, H. et al. Demographics, management, and in-hospital outcome of hospitalized acute heart failure syndrome patients in contemporary real clinical practice in Japan- observations from the prospective, multicenter kyoto congestive heart failure (KCHF) registry. Circ. J. 82, 2811–2819. https://doi.org/10.1253/circj.CJ-17-1386 (2018).

12. Yamamoto, E. et al. Kyoto Congestive Heart Failure (KCHF) study: rationale and design. ESC Heart Fail. 4, 216–223. https://doi. org/10.1002/ehf2.12138 (2017).

13. Kanae, S. et al. Association of previous hospitalization for heart failure with increased mortality in patients hospitalized for acute decompensated heart failure. Circ. Rep. 1, 517–524 (2019).

14. Yaku, H. et al. Association of mineralocorticoid receptor antagonist use with all-cause mortality and hospital readmission in older adults with acute decompensated heart failure. JAMA Netw. Open 2, e195892. https://doi.org/10.1001/jamanetworkopen.2019.5892 (2019).

15. Kato, T. et al. Association with controlling nutritional status (CONUT) score and in-hospital mortality and infection in acute heart failure. Sci. Rep. 10, 3320. https://doi.org/10.1038/s41598-020-60404-9 (2020).

16. Yaku, H. et al. Risk factors and clinical outcomes of functional decline during hospitalisation in very old patients with acute decompensated heart failure: an observational study. BMJ Open 10, e032674. https://doi.org/10.1136/bmjopen-2019-032674 (2020).

17. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organization technical report series. 1995;854:1–452.

18. Ponikowski, P. et al. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: Te Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur. J. Heart Failure 18, 891–975. https://doi.org/10.1002/ ejhf.592 (2016).

19. Kappetein, A. P. et al. Updated standardized endpoint defnitions for transcatheter aortic valve implantation: the Valve Academic Research Consortium-2 consensus document. J. Am. Coll. Cardiol. 60, 1438–1454. https://doi.org/10.1016/j.jacc.2012.09.001 (2012).

20. Ministry of Education, Culture, Sports, Science and Technology Ministry of Health, Labour andWelfare. Ethical guidelines for epidemiologic research. https://www.lifescience.mext.go.jp/fles/pdf/n796_01.pdf. Accessed April 26 2020.

21. US Department of Health and Human Services. 45 CFR 46.116(d). https://www.hhs.gov/ohrp/regulations-andpolicy/regulation s/45-cfr-46/index.html#46.116. Published 2009. Accessed May 26 2020.

22. Matsushita, M. et al. Association between the body mass index and the clinical fndings in patients with acute heart failure: evaluation of the obesity paradox in patients with severely decompensated acute heart failure. Heart Vessels 32, 600–608. https://doi. org/10.1007/s00380-016-0908-9 (2017).

23. Curtis, J. P. et al. Te obesity paradox: body mass index and outcomes in patients with heart failure. Arch. Intern Med. 165, 55–61. https://doi.org/10.1001/archinte.165.1.55 (2005).

24. Shiraishi, Y. et al. 9-year trend in the management of acute heart failure in Japan: a report from the national consortium of acute heart failure registries. J. Am. Heart Assoc. 7, e008687 (2018).

25. Coles, A. H. et al. Magnitude of and prognostic factors associated with 1-year mortality afer hospital discharge for acute decompensated heart failure based on ejection fraction fndings. J. Am. Heart Assoc. 4, e002303. https://doi.org/10.1161/JAHA.115.00230 3 (2015).

26. Okoshi, M. P., Capalbo, R. V., Romeiro, F. G. & Okoshi, K. Cardiac cachexia: perspectives for prevention and treatment. Arq Bras Cardiol. 108, 74–80. https://doi.org/10.5935/abc.20160142 (2017).

27. Curcio, F. et al. Sarcopenia and heart failure. Nutrients https://doi.org/10.3390/nu12010211 (2020).

28. Yin, J., Lu, X., Qian, Z., Xu, W. & Zhou, X. New insights into the pathogenesis and treatment of sarcopenia in chronic heart failure. Teranostics 9, 4019–4029 (2019).

29. Springer, J., Springer, J. I. & Anker, S. D. Muscle wasting and sarcopenia in heart failure and beyond: update 2017. ESC Heart Fail. 4, 492–498. https://doi.org/10.7150/thno.33000 (2017).

30. Takiguchi, M. et al. Impact of body mass index on mortality in heart failure patients. Eur. J. Clin. Invest. 44, 1197–1205. https:// doi.org/10.1111/eci.12354 (2014).

31. Inoue, H. et al. Impact of body mass index on the prognosis of Japanese patients with non-valvular atrial fbrillation. Am. J. Cardiol. 118, 215–221. https://doi.org/10.1016/j.amjcard.2016.04.036 (2016).

32. Clark, A. L. et al. Efect of beta-adrenergic blockade with carvedilol on cachexia in severe chronic heart failure: results from the COPERNICUS trial. J. Cachexia Sarcopenia Muscle 8, 549–556. https://doi.org/10.1002/jcsm.12191 (2017).

33. Vaz, M. et al. Regional sympathetic nervous activity and oxygen consumption in obese normotensive human subjects. Circulation 96, 3423–3429. https://doi.org/10.1161/01.cir.96.10.3423 (1997).

34. Weber, M. A., Neutel, J. M. & Smith, D. H. G. Contrasting clinical properties and exercise responses in obese and lean hypertensive patients. J. Am. Coll. Cardiol. 37, 169–174. https://doi.org/10.1016/s0735-1097(00)01103-7 (2001).

35. Anker, S. D. et al. Tumor necrosis factor and steroid metabolism in chronic heart failure: possible relation to muscle wasting. J. Am. Coll. Cardiol. 30, 997–1001. https://doi.org/10.1016/s0735-1097(97)00262-3 (1997).

36. Yoshihisa, A. et al. Heterogeneous impact of body mass index on in-hospital mortality in acute heart failure syndromes: an analysis from the ATTEND Registry. Eur. Heart J. Acute Cardiovasc. Care 8, 589–598. https://doi.org/10.1177/2048872617703061 (2019).

37. Reddy, Y. N. V. et al. Characterization of the obese phenotype of heart failure with preserved ejection fraction: a RELAX Trial Ancillary Study. Mayo Clin. Proc. 94, 1199–1209. https://doi.org/10.1016/j.mayocp.2018.11.037 (2019).

38. Adamopoulos, C. et al. Absence of obesity paradox in patients with chronic heart failure and diabetes mellitus: a propensitymatched study. Eur. J. Heart Fail. 13, 200–206. https://doi.org/10.1093/eurjhf/hfq159 (2011).

39. Nagarajan, V., Cauthen, C. A., Starling, R. C. & Tang, W. H. Prognosis of morbid obesity patients with advanced heart failure. Congest Heart Fail. 19, 160–164. https://doi.org/10.1111/chf.12038 (2013).

40. Hamaguchi, S. et al. Body mass index is an independent predictor of long-term outcomes in patients hospitalized with heart failure in Japan. Circ. J. 74, 2605–2611. https://doi.org/10.1253/circj.cj-10-0599 (2010).

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