Interactive effects of intrinsic capacity and obesity on the KDIGO chronic kidney disease risk classification in older patients with type 2 diabetes mellitus

被引:6
作者
Tang, Wei-Hua [1 ,2 ]
Yu, Teng-Hung [3 ,4 ]
Lee, Hui-Lan [5 ]
Lee, Yau-Jiunn [6 ]
机构
[1] Taipei Vet Gen Hosp, Dept Internal Med, Div Cardiol, Yuli Branch, Hualien 98142, Taiwan
[2] Natl Yang Ming Chiao Tung Univ, Fac Med, Sch Med, Taipei 112304, Taiwan
[3] E Da Hosp, Dept Internal Med, Div Cardiol, Kaohsiung 82445, Taiwan
[4] I Shou Univ, Coll Med, Sch Med, Kaohsiung 82445, Taiwan
[5] Minist Hlth & Welf, Hlth Promot Adm, Taipei 10320, Taiwan
[6] Lees Endocrinol Clin, 130 Min Tzu Rd, Pingtung 90000, Taiwan
关键词
KDIGO chronic kidney disease risk classification; Intrinsic capacity; Obesity; Synergistic interaction; Type 2 diabetes mellitus; BODY-MASS INDEX; SARCOPENIC OBESITY; MUSCLE STRENGTH; ASSOCIATION; EPIDEMIOLOGY; INFLAMMATION; EQUATION; HORMONE; ADULTS; MEN;
D O I
10.1186/s13098-022-00975-x
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Intrinsic capacity (IC) is a novel concept focusing on normal and healthy aging. The effect of IC on the risk of chronic kidney disease (CKD) according to KDIGO category in older type 2 diabetes mellitus (T2DM) patients has rarely been studied. We investigated whether a decline in IC is associated with the risk of CKD according to KDIGO 2012 categories. Methods: This is a cross-sectional study. The exposure variables (IC score and body mass index) and outcome variable (KDIGO categories of the risk of CKD) were collected at the same timepoint. A total of 2482 older subjects with T2DM managed through a disease care program were enrolled. The five domains of IC, namely locomotion, cognition, vitality, sensory, and psychological capacity were assessed. Based on these domains, the IC composite score was calculated. CKD risk was classified according to the KDIGO 2012 CKD definition. Univariate and multivariate analyses were used to assess the association between IC score and KDIGO categories of risk of CKD. Results: The KDIGO CKD risk category increased in parallel with IC score (p for trend < 0.0001). In multivariate analysis, compared to those with an IC score 0, the odds ratio of having a KDIGO moderately increased to very high risk category of CKD was 1.76 (1.31-2.37) times higher for those with an IC score of 2-5. Furthermore, an increased IC score was associated with a higher prevalence of moderate and severe obesity. Moreover, there was a synergistic interaction between IC score and obesity on the KDIGO moderately increased to very high risk category of CKD (synergy index = 1.683; 95% CI 0.630-3.628), and the proportion of the KDIGO moderately increased to very high risk category of CKD caused by this interaction was 25.6% (attributable proportion of interaction = 0.256). Conclusions: Our findings indicate that IC score may be closely related to the KDIGO moderately increased to very high risk category of CKD. In addition, there may be a synergistic interaction between IC score and obesity, and this synergistic interaction may increase the KDIGO CKD risk stage.
引用
收藏
页数:10
相关论文
共 55 条
  • [1] Update on Inflammation in Chronic Kidney Disease
    Akchurin, Oleh M.
    Kaskel, Frederick
    [J]. BLOOD PURIFICATION, 2015, 39 (1-3) : 84 - 92
  • [2] Diabetic Kidney Disease Challenges, Progress, and Possibilities
    Alicic, Radica Z.
    Rooney, Michele T.
    Tuttle, Katherine R.
    [J]. CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2017, 12 (12): : 2032 - 2045
  • [3] Amer Diabet Assoc, 2014, DIABETES CARE, V37, pS81, DOI [10.2337/dc11-S062, 10.2337/dc14-S081, 10.2337/dc10-S062, 10.2337/dc12-s011, 10.2337/dc12-s064, 10.2337/dc11-S011, 10.2337/dc10-S011, 10.2337/dc13-S011, 10.2337/dc13-S067]
  • [4] Calculating measures of biological interaction
    Andersson, T
    Alfredsson, L
    Källberg, H
    Zdravkovic, S
    Ahlbom, A
    [J]. EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2005, 20 (07) : 575 - 579
  • [5] Association of Obesity and Frailty in Older Adults, 2019, J NUTR HEALTH AGING, V23, P138
  • [6] Effect of sarcopenia on cardiovascular disease risk factors in obese postmenopausal women
    Aubertin-Leheudre, Mylene
    Lord, Christine
    Goulet, Eric D. B.
    Khalil, Abdelouahed
    Dionne, Isabelle J.
    [J]. OBESITY, 2006, 14 (12) : 2277 - 2283
  • [7] Baumgartner RN, 2000, ANN NY ACAD SCI, V904, P437
  • [8] Quantification of biological aging in young adults
    Belsky, Daniel W.
    Caspi, Avshalom
    Houts, Renate
    Cohen, Harvey J.
    Corcoran, David L.
    Danese, Andrea
    Harrington, HonaLee
    Israel, Salomon
    Levine, Morgan E.
    Schaefer, Jonathan D.
    Sugden, Karen
    Williams, Ben
    Yashin, Anatoli I.
    Poulton, Richie
    Moffitt, Terrie E.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (30) : E4104 - E4110
  • [9] The last two decades of life course epidemiology, and its relevance for research on ageing
    Ben-Shlomo, Yoav
    Cooper, Rachel
    Kuh, Diana
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2016, 45 (04) : 973 - 988
  • [10] Health, functioning, and disability in older adults-present status and future implications
    Chatterji, Somnath
    Byles, Julie
    Cutler, David
    Seeman, Teresa
    Verdes, Emese
    [J]. LANCET, 2015, 385 (9967) : 563 - 575