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
  • [11] Letter to the editor: A simple sarcopenia screening test predicts future adverse events in patients with heart failure
    Sasaki, Kosuke
    Kataoka, Tsuyoshi
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2018, 256 : 27 - 27
  • [12] Functional liver imaging score (FLIS) can predict adverse events in HCC patients
    Maino, Cesare
    Romano, Fabrizio
    Franco, Paolo Niccolo
    Ciaccio, Antonio
    Garancini, Mattia
    Franzesi, Cammillo Talei
    Scotti, Mauro Alessandro
    Gandola, Davide
    Fogliati, Alessandro
    Bernasconi, Davide Paolo
    Del Castello, Lorenzo
    Corso, Rocco
    Ciulli, Cristina
    Ippolito, Davide
    EUROPEAN JOURNAL OF RADIOLOGY, 2024, 180
  • [13] Mitochondrial metabolites predict adverse cardiovascular events in individuals with diabetes
    Regan, Jessica A.
    Mentz, Robert J.
    Nguyen, Maggie
    Green, Jennifer B.
    Truby, Lauren K.
    Ilkayeva, Olga
    Newgard, Christopher B.
    Buse, John B.
    Sourij, Harald
    Sjostrom, C. David
    Sattar, Naveed
    Mcgarrah, Robert W.
    Zheng, Yinggan
    Mcguire, Darren K.
    Standl, Eberhard
    Armstrong, Paul
    Peterson, Eric D.
    Hernandez, Adrian F.
    Holman, Rury R.
    Shah, Svati H.
    JCI INSIGHT, 2023, 8 (17)
  • [14] Can we use proteomics to predict cardiovascular events?
    Gregorich, Zachery R.
    EXPERT REVIEW OF PROTEOMICS, 2024, 21 (12) : 501 - 504
  • [15] Sarcopenia and sarcopenic obesity in patients with complex abdominal wall hernias
    Rinaldi, John M.
    Geletzke, Abby K.
    Phillips, Brett E.
    Miller, Jamie
    Dykes, Thomas M.
    Soybel, David I.
    AMERICAN JOURNAL OF SURGERY, 2016, 212 (05): : 903 - 911
  • [16] Can Sarcopenia Quantified by CT Predict Adverse Outcomes in Emergency General Surgery?
    Ho, Cathy
    Jehan, Faisal
    Sakran, Joseph V.
    O'Keeffe, Terence
    Kulvatunyou, Narong
    Vercruysse, Gary A.
    Jain, Arpana
    Joseph, Bellal
    JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2017, 225 (04) : S80 - S80
  • [17] Impact of Discrepancies in General and Abdominal Obesity on Major Adverse Cardiac Events
    Choi, Daein
    Choi, Seulggie
    Son, Joung Sik
    Oh, Sang Woo
    Park, Sang Min
    JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2019, 8 (18): : 1 - 8
  • [18] Can an algorithm for appropriate prescribing predict adverse drug events?
    Rask, KJ
    Wells, KJ
    Teitel, GS
    Hawley, JN
    Richards, C
    Gazmararian, JA
    AMERICAN JOURNAL OF MANAGED CARE, 2005, 11 (03): : 145 - 151
  • [19] ASSOCIATION OF PHASE ANGLE WITH NUTRITION, MORTALITY, MAJOR ADVERSE CARDIOVASCULAR EVENTS AND SARCOPENIA IN MAINTENANCE HEMODIALYSIS PATIENTS.
    Bae, Eunjin
    Lee, Tae Won
    Jang, Ha Nee
    Cho, Hyun Seop
    Kim, Hyun-Jung
    Chang, Se-Ho
    Park, Dong Jun
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2020, 35 : 1275 - 1275
  • [20] Reply to letter to the editor: "A simple sarcopenia screening test predicts future adverse events in patients with heart failure"
    Izumiya, Yasuhiro
    Hanatani, Shinsuke
    Onoue, Yoshiro
    Tsujita, Kenichi
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2018, 256 : 28 - 28