A simple method of sarcopenia detection can predict adverse cardiovascular events in patients with abdominal obesity

被引:10
|
作者
Hanatani, Shinsuke [1 ]
Izumiya, Yasuhiro [1 ,2 ]
Yamamoto, Masahiro [1 ]
Araki, Satoshi [1 ]
Fujisue, Koichiro [1 ]
Arima, Yuichiro [1 ,3 ]
Takashio, Seiji [1 ]
Yamamoto, Eiichiro [1 ]
Kaikita, Koichi [1 ]
Matsushita, Kenichi [1 ]
Tsujita, Kenichi [1 ,4 ]
机构
[1] Kumamoto Univ, Grad Sch Med Sci, Dept Cardiovasc Med, Kumamoto, Japan
[2] Osaka City Univ, Dept Cardiovasc Med, Grad Sch Med, Osaka, Japan
[3] Kumamoto Univ, Int Res Ctr Med Sci IRCMS, Kumamoto, Japan
[4] Kumamoto Univ, Ctr Metab Regulat Hlth Aging CMHA, Kumamoto, Japan
关键词
BODY-MASS INDEX; SCREENING-TEST; OLDER MEN; MORTALITY; ASSOCIATION; TISSUE; CONSENSUS; DISEASE; PROTEIN; ADULTS;
D O I
10.1038/s41366-021-00895-2
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Although sarcopenic obesity is associated with a higher risk of cardiovascular events compared with obesity without sarcopenia, it is difficult to diagnose sarcopenia in daily clinical settings. Recently, a simple scoring system has been developed to identify sarcopenia patients based on three variables (age, hand grip strength, and calf circumference). However, the utility of this score for cardiovascular risk stratification in patients with abdominal obesity is unknown. Methods We calculated the sarcopenia score in 262 patients with abdominal obesity, defined as a waist circumference >= 90 cm in women or >= 85 cm in men. The composite endpoint of this study was cardiovascular mortality, nonfatal myocardial infarction, stroke, unstable angina, and heart failure hospitalization. Results Of the 262 patients, 108 had a high sarcopenia score based on previously established criteria (>= 105 in men and >= 120 in women). The patients with a high sarcopenia score had a significantly higher plasma level of B-type natriuretic peptide compared with those with a low sarcopenia score (median 56.7, interquartile range [28.2-142.9] vs. 37.9 [13.8-76.1] pg/mL; p < 0.0001). Kaplan-Meier curves revealed a significantly lower event-free survival rate in those with a high compared with a low sarcopenia score (log-rank test p = 0.001), even after adjustment for confounding factors using propensity score matching (log-rank test p = 0.009). Multivariate Cox proportional hazard analysis identified a high sarcopenia score (hazard ratio: 2.46; 95% confidence interval: 1.31-4.64, p = 0.005) as an independent predictor of the primary endpoints. The combination of a high sarcopenia score and low body mass index (<25 kg/m(2)) predicted a significantly higher risk of future adverse events (p = 0.005). Furthermore, patients with a high sarcopenia score and high B-type natriuretic peptide level (>= 200 pg/mL) had the poorest prognosis (p < 0.0001). Conclusions This simple screening test for sarcopenia can predict future adverse cardiovascular events in patients with abdominal obesity.
引用
收藏
页码:2214 / 2220
页数:7
相关论文
共 50 条
  • [1] A simple method of sarcopenia detection can predict adverse cardiovascular events in patients with abdominal obesity
    Shinsuke Hanatani
    Yasuhiro Izumiya
    Masahiro Yamamoto
    Satoshi Araki
    Koichiro Fujisue
    Yuichiro Arima
    Seiji Takashio
    Eiichiro Yamamoto
    Koichi Kaikita
    Kenichi Matsushita
    Kenichi Tsujita
    International Journal of Obesity, 2021, 45 : 2214 - 2220
  • [2] Simple Screening Test for Sarcopenia is a Useful Tool to Predict Future Adverse Events in Male Patients with Cardiovascular Risk
    Onoue, Yoshiro
    Izumiya, Yasuhiro
    Hanatani, Shinsuke
    Tanaka, Tomoko
    Yamamura, Satoru
    Kimura, Yuichi
    Araki, Satoshi
    Ogawa, Hisao
    JOURNAL OF CARDIAC FAILURE, 2015, 21 (10) : S185 - S185
  • [3] A Body Shape Index as a Simple Anthropometric Marker of Abdominal Obesity and Risk of Cardiovascular Events
    Kajikawa, Masato
    Maruhashi, Tatsuya
    Kishimoto, Shinji
    Yamaji, Takayuki
    Harada, Takahiro
    Saito, Yusuke
    Mizobuchi, Aya
    Tanigawa, Shunsuke
    Nakano, Yukiko
    Chayama, Kazuaki
    Goto, Chikara
    Yusoff, Farina Mohamad
    Nakashima, Ayumu
    Higashi, Yukihito
    JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2024, 109 (12): : 3272 - 3281
  • [4] A simple sarcopenia screening test predicts future adverse events in patients with heart failure
    Onoue, Yoshiro
    Izumiya, Yasuhiro
    Hanatani, Shinsuke
    Tanaka, Tomoko
    Yamamura, Satoru
    Kimura, Yuichi
    Araki, Satoshi
    Sakamoto, Kenji
    Tsujita, Kenichi
    Yamamoto, Eiichiro
    Yamamuro, Megumi
    Kojima, Sunao
    Kaikita, Koichi
    Hokimoto, Seiji
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2016, 215 : 301 - 306
  • [5] Can C-Reactive Protein and Fibrinogen Predict Major Adverse Cardiac Events in Cardiovascular and Cerebrovascular Patients?
    Golshahi, Jafar
    Khalesi, Somayeh
    Sadeghi, Masoumeh
    Sarrafzadegan, Nizal
    Gharipour, Mojgan
    Dianatkhah, Minoo
    Salehi, Asma
    IRANIAN HEART JOURNAL, 2015, 16 (04): : 19 - 27
  • [6] Machine learning algorithms to predict major adverse cardiovascular events in patients with diabetes
    Abegaz, Tadesse M.
    Baljoon, Ahmead
    Kilanko, Oluwaseun
    Sherbeny, Fatimah
    Ali, Askal Ayalew
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 164
  • [7] Simple screening tools predict death and cardiovascular events in patients with rheumatic disease
    Breunig, M.
    Kleinert, S.
    Lehmann, S.
    Kneitz, C.
    Feuchtenberger, M.
    Tony, H-P
    Angermann, C. E.
    Ertl, G.
    Stoerk, S.
    SCANDINAVIAN JOURNAL OF RHEUMATOLOGY, 2018, 47 (02) : 102 - 109
  • [8] CAN ADMINISTRATIVE DATA PREDICT CHEMOTHERAPY ADVERSE EVENTS?
    Pearce, A. M.
    Haas, M.
    Viney, R.
    VALUE IN HEALTH, 2013, 16 (07) : A392 - A392
  • [9] Association of Abdominal Obesity in Children With Perioperative Respiratory Adverse Events
    Nafiu, Olubukola O.
    Onyewuche, Vivian
    JOURNAL OF PERIANESTHESIA NURSING, 2014, 29 (02) : 84 - 93
  • [10] Inflammatory Biomarkers to Predict Major Adverse Cardiovascular Events in Patients with Carotid Artery Stenosis
    Li, Ben
    Shaikh, Farah
    Zamzam, Abdelrahman
    Abdin, Rawand
    Qadura, Mohammad
    MEDICINA-LITHUANIA, 2024, 60 (06):