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Chen J, Li YT, Niu Z, He Z, Xie YJ, Hernandez J, Huang W, Wang HHX. Investigating the causal association of generalized and abdominal obesity with microvascular complications in patients with type 2 diabetes: A community-based prospective study. Diabetes Obes Metab 2024; 26:2796-2810. [PMID: 38695216 DOI: 10.1111/dom.15598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 03/18/2024] [Accepted: 03/26/2024] [Indexed: 06/05/2024]
Abstract
AIM The paradoxical protective association between overweight/obesity and diabetic microvascular complications (DMC), a phenomenon well-known as the obesity paradox, has been considered a non-causal association based on methodological influences. We aimed to investigate the association of generalized and abdominal obesity, as measured by body mass index (BMI) and waist circumference (WC), respectively, with DMC in patients with type 2 diabetes (T2D), using a causal inference approach. MATERIALS AND METHODS We enrolled 1436 patients with clinically diagnosed T2D but not DMC at baseline in a community-based prospective cohort in China between 2017 and 2019 and followed them annually until 2022 with new-onset DMC recorded. Marginal structural Cox models with inverse probability weighting were constructed to determine the causal association. Subgroup analyses were performed to identify potential effect modifiers. RESULTS We observed 360 incident DMC cases, including 109 cases of diabetic nephropathy (DN) and 277 cases of diabetic retinopathy (DR) during four follow-up visits. Multivariable-adjusted hazard ratios (95% confidence intervals) for overall DMC, DN and DR were 1.037 (1.005-1.071), 1.117 (1.062-1.175) and 1.018 (0.980-1.059) for 1 kg/m2 increase in BMI, and 1.005 (0.994-1.017), 1.034 (1.018-1.051) and 1.000 (0.987-1.014) for 1 cm increase in WC, respectively. Similar patterns were observed across the BMI and WC categories, while the positive association appeared to be more pronounced in women. CONCLUSIONS Generalized but not abdominal obesity was associated with an increased risk for the overall DMC, whereas both obesities were causally related to DN, albeit not DR, in T2D. Routine weight management should not be neglected in diabetes care, particularly in women.
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Affiliation(s)
- Jiaheng Chen
- School of Public Health, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Yu Ting Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, People's Republic of China
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Zimin Niu
- School of Public Health, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Zhanpeng He
- Liwan Central Hospital of Guangzhou, Guangzhou, People's Republic of China
| | - Yao Jie Xie
- School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR
| | - Jose Hernandez
- Faculty of Medicine and Health, EDU, Digital Education Holdings Ltd., Kalkara, Malta
- Green Templeton College, University of Oxford, Oxford, UK
| | - Wenyong Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, People's Republic of China
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Harry H X Wang
- School of Public Health, Sun Yat-Sen University, Guangzhou, People's Republic of China
- JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR
- Usher Institute, Deanery of Molecular, Genetic & Population Health Sciences, The University of Edinburgh, Edinburgh, UK
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Kono T, Maimaituxun G, Tanabe H, Higa M, Saito H, Tanaka K, Masuzaki H, Sata M, Kazama JJ, Shimabukuro M. Role of perirenal adiposity in renal dysfunction among CKD individuals with or without diabetes: a Japanese cross-sectional study. BMJ Open Diabetes Res Care 2024; 12:e003832. [PMID: 38471672 PMCID: PMC10936520 DOI: 10.1136/bmjdrc-2023-003832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 01/12/2024] [Indexed: 03/14/2024] Open
Abstract
INTRODUCTION It remains unclear whether increased perirenal fat (PRF) accumulation is equally related to renal involvement in patients with and without diabetes mellitus (DM). We evaluated the association between PRF volume (PRFV) and low glomerular filtration rate (GFR) and proteinuria in people with or without type 2 diabetes mellitus (T2DM). RESEARCH DESIGN AND METHODS We performed a cross-sectional analysis of 473 individuals without T2DM (non-DM, n=202) and with T2DM (DM, n=271). PRFV (cm3), obtained from non-contrast CT, was indexed as PRF index (PRFV/body surface area, cm3/m2). Multivariate-adjusted models were used to determine the ORs of PRFV and PRFV index for detecting estimated GFR (eGFR) decrease of <60 mL/min/1.73 m2 proteinuria onset, or both. RESULTS Although body mass index (BMI), visceral fat area, and waist circumference were comparable between the non-DM and DM groups, kidney volume, PRFV, and PRFV index were higher in individuals with T2DM than in those without T2DM. In the multivariate analysis, after adjusting for age, sex, BMI, hypertension, smoking history, and visceral fat area ≥100 cm2, the cut-off values of PRFV index were associated with an eGFR<60 in individuals with DM (OR 6.01, 95% CI 2.20 to 16.4, p<0.001) but not in those without DM. CONCLUSIONS PRFV is associated with low eGFR in patients with T2DM but not in those without T2DM. This suggests that PRF accumulation is more closely related to the onset and progression of diabetic kidney disease (DKD) than non-DKD. Clarifying the mechanisms through which PRF influences DKD development could pave the way for novel prevention and treatment strategies.
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Affiliation(s)
- Teruyuki Kono
- Department of Diabetes, Endocrinology and Metabolism, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Gulinu Maimaituxun
- Department of Diabetes, Endocrinology and Metabolism, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Hayato Tanabe
- Department of Diabetes, Endocrinology and Metabolism, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Moritake Higa
- Department of Diabetes and Lifestyle-Related Disease Center, Tomishiro Central Hospital, Tomishiro, Okinawa, Japan
| | - Haruka Saito
- Department of Diabetes, Endocrinology and Metabolism, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Kenichi Tanaka
- Department of Nephrology and Hypertension, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Hiroaki Masuzaki
- Division of Endocrinology and Metabolism, Second Department of Internal Medicine, University of the Ryukyus Graduate School of Medicine, Nishihara, Okinawa, Japan
| | - Masataka Sata
- Department of Cardiovascular Medicine, Tokushima University Hospital, Tokushima, Japan
| | - Junichiro J Kazama
- Department of Nephrology and Hypertension, Fukushima Medical University, Fukushima, Japan
| | - Michio Shimabukuro
- Department of Diabetes, Endocrinology and Metabolism, Fukushima Medical University, Fukushima, Japan
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Zhang H, Zhang Q, Song Y, Wang L, Cai M, Bao J, Yu Q. Separating the effects of life course adiposity on diabetic nephropathy: a comprehensive multivariable Mendelian randomization study. Front Endocrinol (Lausanne) 2024; 15:1285872. [PMID: 38390197 PMCID: PMC10881683 DOI: 10.3389/fendo.2024.1285872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 01/19/2024] [Indexed: 02/24/2024] Open
Abstract
Aims Previous Mendelian randomization (MR) of obesity and diabetic nephropathy (DN) risk used small sample sizes or focused on a single adiposity metric. We explored the independent causal connection between obesity-related factors and DN risk using the most extensive GWAS summary data available, considering the distribution of adiposity across childhood and adulthood. Methods To evaluate the overall effect of each obesity-related exposure on DN (Ncase = 3,676, Ncontrol = 283,456), a two-sample univariate MR (UVMR) analysis was performed. The independent causal influence of each obesity-related feature on DN was estimated using multivariable MR (MVMR) when accounting for confounding variables. It was also used to examine the independent effects of adult and pediatric obesity, adjusting for their interrelationships. We used data from genome-wide association studies, including overall general (body mass index, BMI) and abdominal obesity (waist-to-hip ratio with and without adjustment for BMI, i.e., WHR and WHRadjBMI), along with childhood obesity (childhood BMI). Results UVMR revealed a significant association between adult BMI (OR=1.24, 95%CI=1.03-1.49, P=2.06×10-2) and pediatric BMI (OR=1.97, 95%CI=1.59-2.45, P=8.55×10-10) with DN risk. At the same time, adult WHR showed a marginally significant increase in DN (OR =1.27, 95%CI = 1.01-1.60, P=3.80×10-2). However, the outcomes were adverse when the influence of BMI was taken out of the WHR (WHRadjBMI). After adjusting for childhood BMI, the causal effects of adult BMI and adult abdominal obesity (WHR) on DN were significantly attenuated and became nonsignificant in MVMR models. In contrast, childhood BMI had a constant and robust independent effect on DN risk(adjusted for adult BMI: IVW, OR=1.90, 95% CI=1.60-2.25, P=2.03×10-13; LASSO, OR=1.91, 95% CI=1.65-2.21, P=3.80×10-18; adjusted for adult WHR: IVW, OR=1.80, 95% CI=1.40-2.31, P=4.20×10-6; LASSO, OR=1.90, 95% CI=1.56-2.32, P=2.76×10-10). Interpretation Our comprehensive analysis illustrated the hazard effect of obesity-related exposures for DN. In addition, we showed that childhood obesity plays a separate function in influencing the risk of DN and that the adverse effects of adult obesity (adult BMI and adult WHR) can be substantially attributed to it. Thus, several obesity-related traits deserve more attention and may become a new target for the prevention and treatment of DN and warrant further clinical investigation, especially in childhood obesity.
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Affiliation(s)
| | | | | | | | | | | | - Qing Yu
- Department of Nephrology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Lu F, Fan J, Li F, Liu L, Chen Z, Tian Z, Zuo L, Yu D. Abdominal adipose tissue and type 2 diabetic kidney disease: adipose radiology assessment, impact, and mechanisms. Abdom Radiol (NY) 2024; 49:560-574. [PMID: 37847262 DOI: 10.1007/s00261-023-04062-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/09/2023] [Accepted: 09/11/2023] [Indexed: 10/18/2023]
Abstract
Diabetic kidney disease (DKD) is a significant healthcare burden worldwide that substantially increases the risk of kidney failure and cardiovascular events. To reduce the prevalence of DKD, extensive research is being conducted to determine the risk factors and consequently implement early interventions. Patients with type 2 diabetes mellitus (T2DM) are more likely to be obese. Abdominal adiposity is associated with a greater risk of kidney damage than general obesity. Abdominal adipose tissue can be divided into different fat depots according to the location and function, including visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), perirenal adipose tissue (PAT), and renal sinus adipose tissue (RSAT), which can be accurately measured by radiology techniques, such as computed tomography (CT) and magnetic resonance imaging (MRI). Abdominal fat depots may affect the development of DKD through different mechanisms, and radiologic abdominal adipose characteristics may serve as imaging indicators of DKD risk. This review will first describe the CT/MRI-based assessment of abdominal adipose depots and subsequently describe the current studies on abdominal adipose tissue and DKD development, as well as the underlying mechanisms in patients of T2DM with DKD.
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Affiliation(s)
- Fei Lu
- School of Medical Imaging, Weifang Medical University, Weifang, 261053, Shandong, China
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Jinlei Fan
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Fangxuan Li
- Department of Ultrasound, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Lijing Liu
- Department of Imaging, Yantaishan Hospital, Yantai, 264001, Shandong, China
| | - Zhiyu Chen
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Ziyu Tian
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Liping Zuo
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Dexin Yu
- School of Medical Imaging, Weifang Medical University, Weifang, 261053, Shandong, China.
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
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Rossing P, Anker SD, Filippatos G, Pitt B, Ruilope LM, Billings LK, Green JB, Koya D, Mosenzon O, Pantalone KM, Ahlers C, Lage A, Lawatscheck R, Scalise A, Bakris GL. The impact of obesity on cardiovascular and kidney outcomes in patients with chronic kidney disease and type 2 diabetes treated with finerenone: Post hoc analysis of the FIDELITY study. Diabetes Obes Metab 2023; 25:2989-2998. [PMID: 37402696 DOI: 10.1111/dom.15197] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 06/02/2023] [Accepted: 06/09/2023] [Indexed: 07/06/2023]
Abstract
AIM To assess the effect of finerenone on the risk of cardiovascular and kidney outcomes in patients with chronic kidney disease and type 2 diabetes, with and without obesity. MATERIALS AND METHODS A post hoc analysis of the prespecified pooled FIDELITY dataset assessed the association between waist circumference (WC), composite cardiovascular and kidney outcomes, and the effects of finerenone. Participants were stratified by WC risk groups (representing visceral obesity) as low-risk or high-very high-risk (H-/VH-risk). RESULTS Of 12 986 patients analysed, 90.8% occupied the H-/VH-risk WC group. Incidence of the composite cardiovascular outcome was similar between finerenone and placebo in the low-risk WC group (hazard ratio [HR] 1.03; 95% confidence interval [CI], 0.72-1.47); finerenone reduced the risk in the H-/VH-risk WC group (HR 0.85; 95% CI, 0.77-0.93). For the kidney outcome, the risk was similar in the low-risk WC group (HR 0.98; 95% CI, 0.66-1.46) and reduced within the H-/VH-risk WC group (HR 0.75; 95% CI, 0.65-0.87) with finerenone versus placebo. There was no significant heterogeneity between the low-risk and H-/VH-risk WC groups for cardiovascular and kidney composite outcomes (P interaction = .26 and .34, respectively). The apparent greater benefit of finerenone on cardiorenal outcomes but lack of significant heterogeneity observed in H-/VH-risk WC patients may be because of the small size of the low-risk group. Adverse events were consistent across WC groups. CONCLUSION In FIDELITY, benefits of finerenone in lowering the risk of cardiovascular and kidney outcomes were not significantly modified by patient obesity.
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Affiliation(s)
- Peter Rossing
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Stefan D Anker
- Department of Cardiology (CVK) of German Heart Center Charité; Institute of Health Center for Regenerative Therapies (BCRT), German Centre for Cardiovascular Research (DZHK) Partner Site Berlin, Charité Universitätsmedizin, Berlin, Germany
- Institute of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland
| | - Gerasimos Filippatos
- Department of Cardiology, School of Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Bertram Pitt
- Department of Medicine, School of Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Luis M Ruilope
- Cardiorenal Translational Laboratory and Hypertension Unit, Institute of Research imas12, Madrid, Spain
- CIBER-CV, Hospital Universitario 12 de Octubre, Madrid, Spain
- Faculty of Sport Sciences, European University of Madrid, Madrid, Spain
| | - Liana K Billings
- Department of Medicine, NorthShore University HealthSystem, University of Chicago Pritzker School of Medicine, Skokie, Illinois, USA
| | - Jennifer B Green
- Division of Endocrinology, Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA
| | - Daisuke Koya
- Department of Diabetology and Endocrinology, Kanazawa Medical University, Uchinada, Japan
- General Internal Medicine, Omi Medical Center, Kusatu, Japan
| | - Ofri Mosenzon
- Diabetes Unit, Department of Endocrinology and Metabolism, Hadassah Medical Center, Jerusalem, Israel
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Kevin M Pantalone
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Andrea Lage
- Cardiology and Nephrology Clinical Development, Bayer SA, São Paulo, Brazil
| | - Robert Lawatscheck
- Cardiology and Nephrology Clinical Development, Bayer AG, Berlin, Germany
| | - Andrea Scalise
- Cardiology and Nephrology Clinical Development, Bayer Hispania S.L., Barcelona, Spain
| | - George L Bakris
- Department of Medicine, University of Chicago Medicine, Chicago, Illinois, USA
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Kibirige D, Sekitoleko I, Lumu W. Burden and predictors of diabetic kidney disease in an adult Ugandan population with new-onset diabetes. BMC Res Notes 2023; 16:234. [PMID: 37770935 PMCID: PMC10540316 DOI: 10.1186/s13104-023-06500-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 09/04/2023] [Indexed: 09/30/2023] Open
Abstract
BACKGROUND Despite the growing evidence of diabetic kidney disease (DKD) in adult patients with long-standing diabetes in sub-Saharan Africa, data on its burden and correlates in adult African patients with new-onset diabetes are limited. We, therefore, undertook this study to determine the burden and predictors of DKD in an adult population with new-onset diabetes in Uganda. METHODS We collected data on the relevant sociodemographic, clinical, anthropometric, and metabolic characteristics in 519 participants with newly diagnosed diabetes recruited from seven tertiary hospitals. A spot mid-stream urine sample was collected for determination of the urine albumin creatinine ratio (UACR) using Clinitek® microalbumin strips and a point-of-care Clinitek® status analyser. The estimated glomerular filtration rate (e-GFR) was determined using the Chronic Kidney Disease Epidemiology formula. The presence of DKD was defined as a spot UACR ≥ 3 mg/mmol with or without an e-GFR < 60 ml/min/1.73m2. RESULTS The median (IQR) age, UACR, and e-GFR of the participants were 48 years (39-57), 2.27 mg/mmol (1.14-3.41), and 121.8 ml/min/1.73m2 (105.4-133.9). UACR ≥ 3 mg/mmol and e-GFR < 60 ml/min/1.73m2 was noted in 175 (33.7%) and 7 (1.4%) participants, respectively. DKD was documented in 175 participants (33.7%). Compared with those without DKD, participants with DKD were more likely to be ≥ 50 years of age (53.7% vs. 43%, p = 0.02) and to have co-existing hypertension at the time of diagnosis (40.6% vs. 30.1%, p = 0.02). On multivariate analysis, self-reported hypertension comorbidity (OR 1.76 95% CI 1.24-2.48, p = 0.002) and body mass index (BMI) ≥ 30 kg/m2 (OR 0.61 95% CI 0.41-0.91, p = 0.02) were noted to independently predict DKD. CONCLUSION In this study population, DKD was relatively common and was independently associated with self-reported hypertension comorbidity and BMI ≥ 30 kg/m2.
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Affiliation(s)
- Davis Kibirige
- Non-Communicable Diseases Program, Medical Research Council, Research Unit, Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda, Entebbe, Uganda.
- Department of Medicine, Uganda Martyrs Hospital Lubaga, Kampala, Uganda.
| | - Isaac Sekitoleko
- Non-Communicable Diseases Program, Medical Research Council, Research Unit, Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda, Entebbe, Uganda
| | - William Lumu
- Department of Medicine, Mengo Hospital, Kampala, Uganda
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Sun Z, Wang K, Yun C, Bai F, Yuan X, Lee Y, Lou Q. Correlation Between the Variability of Different Obesity Indices and Diabetic Kidney Disease: A Retrospective Cohort Study Based on Populations in Taiwan. Diabetes Metab Syndr Obes 2023; 16:2791-2802. [PMID: 37720422 PMCID: PMC10504903 DOI: 10.2147/dmso.s425198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 08/31/2023] [Indexed: 09/19/2023] Open
Abstract
Purpose To investigate the association of five obesity indices and the variability of these indices with diabetic kidney disease (DKD) in patients with type 2 diabetes and compare the predictive validity of these markers for the risk of DKD in this large longitudinal cohort study. Patients and Methods A total of 2659 patients with type 2 diabetes who did not have DKD were enrolled between 2006 and 2019 at Lee's United Clinic in Taiwan. Data were collected for each subject, including demographic data, personal medical history, clinical parameters and calculated Body mass index (BMI), visceral adiposity index (VAI), lipid accumulation product (LAP), body roundness index (BRI) and variability of five obesity indices. Cox regression analysis was performed to determine the relationship between different obesity indicators and DKD risk. Cox's proportional hazards model was evaluated the predictive effect of obesity indices on DKD. Results The risk of developing DKD increased with an increase in the BRI, LAP, VAI, WC and BMI (all P trend<0.05), and the variability of VAI was significantly associated with DKD [HR=1.132, 95% CI (1.001, 1.281)] after adjusting for corresponding variables. BRI had the strongest predictive effect on DKD. BRI had the best predictive performance, with AUC of 0.807, 0.663 and 0.673 at 1, 3 and 5 years, respectively. Cox regression analysis of risk factors for DKD in patients stratified by BRI quartiles showed that patients in the Q4 group had the highest risk of developing DKD [HR=1.356, 95% CI (1.131, 1.626)]. Conclusion BMI, WC, VAI, LAP, BRI and VAI variability were associated with a significant increase in the risk of DKD events, and BRI was superior and alternative obesity index for predicting DKD.
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Affiliation(s)
- Zhenzhen Sun
- The First Affiliated Hospital of Hainan Medical University, Hainan Clinical Research Center for Metabolic Disease, Haikou, Hainan, People’s Republic of China
| | - Kun Wang
- The First Affiliated Hospital of Hainan Medical University, Hainan Clinical Research Center for Metabolic Disease, Haikou, Hainan, People’s Republic of China
| | - Chuan Yun
- The First Affiliated Hospital of Hainan Medical University, Hainan Clinical Research Center for Metabolic Disease, Haikou, Hainan, People’s Republic of China
| | - Fang Bai
- The First Affiliated Hospital of Hainan Medical University, Hainan Clinical Research Center for Metabolic Disease, Haikou, Hainan, People’s Republic of China
| | - Xiaodan Yuan
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, People’s Republic of China
| | - Yaujiunn Lee
- Department of Endocrinology, Lee’s Clinic, Pingtung City, Pingtung County, Taiwan
| | - Qingqing Lou
- The First Affiliated Hospital of Hainan Medical University, Hainan Clinical Research Center for Metabolic Disease, Haikou, Hainan, People’s Republic of China
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Wang Y, Pang X, Gu C, Li C, Li B, Zhou C, Chen H, Zheng Z. Different associations of anthropometric indices with diabetic retinopathy and diabetic kidney disease in chinese patients with type 2 diabetes mellitus. Acta Diabetol 2023; 60:1187-1198. [PMID: 37179497 DOI: 10.1007/s00592-023-02111-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 04/27/2023] [Indexed: 05/15/2023]
Abstract
AIMS To investigate the associations of anthropometric indices, including body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), waist circumference (WC) and hip circumference (HC), with diabetic retinopathy (DR) and diabetic kidney disease (DKD) in Chinese patients with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS This cross-sectional study evaluated 5226 Chinese participants with T2DM at three hospitals between 2005 and 2016. Logistic regression models and restricted cubic spline analysis were used to assess the associations of anthropometric indices with DR and DKD. RESULTS A BMI of around 25 kg/m2 was related to a low risk of DR (OR based on the third fifth: 0.752, 95%CI: 0.615-0.920). Besides, HC had an inverse association with DR in men independently of BMI (OR based on the highest fifth: 0.495, 95%CI: 0.350-0.697). In the restricted cubic spline models, BMI, WHtR, WC, and HC showed J-shaped associations with DKD, while WHR showed an S-shaped association with DKD. Compared to the lowest fifth, the odds ratios (OR) based on the highest fifth of BMI, WHR, WHtR, WC and HC for DKD were 1.927 (1.572-2.366), 1.566 (1.277-1.923), 1.910 (1.554-2.351), 1.624 (1.312-2.012) and 1.585 (1.300-1.937) respectively in multivariable models. CONCLUSIONS A median BMI and a large hip might be related to a low risk of DR, while lower levels of all the anthropometric indices were associated with a lower risk of DKD. Our findings suggested maintain a median BMI, a low WHR, a low WHtR and a large hip for prevention of DR and DKD.
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Affiliation(s)
- Yujie Wang
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100 Haining Road, Hongkou District, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China
| | - Xin Pang
- Department of Ophthalmology, Haiyan County People's Hospital, No.901 Yanhu West Road, Wuyuan Street, Haiyan County, Jiaxing, Zhejiang Province, China
| | - Chufeng Gu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100 Haining Road, Hongkou District, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China
| | - Chenxin Li
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100 Haining Road, Hongkou District, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China
| | - Bo Li
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100 Haining Road, Hongkou District, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China
| | - Chuandi Zhou
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100 Haining Road, Hongkou District, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China
| | - Haibing Chen
- Department of Endocrinology and Metabolism, Shanghai 10th People's Hospital, Tongji University, No.301 Yanan Zhong Road, Shanghai, China.
| | - Zhi Zheng
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100 Haining Road, Hongkou District, Shanghai, China.
- National Clinical Research Center for Eye Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China.
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Tang M, Yao S, Cao H, Wei X, Zhen Q, Tan Y, Liu F, Wang Y, Peng Y, Fan N. Interrelation between the lipid accumulation product index and diabetic kidney disease in patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2023; 14:1224889. [PMID: 37645414 PMCID: PMC10461558 DOI: 10.3389/fendo.2023.1224889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 07/31/2023] [Indexed: 08/31/2023] Open
Abstract
Objective The purpose of this study was to determine the relation between the lipid accumulation product index (LAPI) and diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM). Methods Herein, 931 patients were enrolled and their data were collected. Then the interrelation between LAPI and DKD was assessed using multivariate logistic regression analyses (LRAs) and by a restricted cubic spline (RCS). Results In total, 931 participants (352 females and 579 males) aged 55 years on average were included in the study. After adjusting for several confounders, the odds ratio for DKD was increased evidently in the third LAPI tertile compared with that in the first LAPI tertile. In addition, the RCS revealed a positive interrelation between LAPI and DKD. In the subgroup analyses, age, sex, hyperlipidemia, hypertension, and HbA1c did not significantly interact with LAPI. Conclusions LAPI was higher in the DKD group than in the no-DKD group, and LAPI is positively linked with DKD, which may have potential value to diagnose DKD in clinical practice.
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Affiliation(s)
- Min Tang
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangshuang Yao
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Han Cao
- Department of Endocrinology and Metabolism, Shanghai General Hospital of Nanjing Medical University, Shanghai, China
- Department of Endocrinology, Songjiang District Central Hospital, Shanghai, China
| | - Xiaohui Wei
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qin Zhen
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yijiong Tan
- Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fang Liu
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufan Wang
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongde Peng
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Endocrinology and Metabolism, Shanghai General Hospital of Nanjing Medical University, Shanghai, China
| | - Nengguang Fan
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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10
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Fu S, Zhang L, Xu J, Liu X, Zhu X. Association between abdominal obesity and diabetic retinopathy in patients with diabetes mellitus: A systematic review and meta-analysis. PLoS One 2023; 18:e0279734. [PMID: 36603004 PMCID: PMC9815584 DOI: 10.1371/journal.pone.0279734] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 12/14/2022] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE Previous studies have reported different opinions regarding the association between abdominal obesity and diabetic retinopathy (DR) in patients with diabetes mellitus (DM). In this study, we aimed to investigate this problem through a systematic review and meta-analysis to provide a basis for clinical interventions. METHODS A comprehensive search was conducted in the PubMed, Embase, and Web of Science databases up to May 1, 2022, for all eligible observational studies. Standardized mean differences (SMD) and 95% confidence intervals (CI) were evaluated using a random-effects model in the Stata software. We then conducted, publication bias assessment, heterogeneity, subgroup and sensitivity analyses. RESULTS A total of 5596 DR patients and 17907 non-DR patients were included from 24 studies. The results of the meta-analysis of abdominal obesity parameters showed statistically significant differences between DR and non-DR patients in both type 1 and type 2 diabetes. Waist circumference (WC) was higher in patients with DR than in the non-DR patients. In the waist-hip ratio (WHR) subgroup, the level of WHR was higher in patients with DR than that in non-DR patients. The association between abdominal obesity and mild to moderate nonproliferative DR or vision-threatening DR groups did not show any statistical difference. Subgroup analysis according to ethnicity showed that Caucasians had higher levels of combined abdominal obesity parameters than Asians. CONCLUSION We found that abdominal obesity measured by WC and WHR is associated with DR in patients with type 1 and type 2 diabetes. This association is stronger in Caucasians than in Asians, where isolated abdominal obesity might be more related to DR. However, no correlation was found between abdominal obesity and varying degrees of diabetic retinopathy. Further prospective cohort studies with larger sample sizes are yet to be conducted to clarify our findings.
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Affiliation(s)
- Shouqiang Fu
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Liwei Zhang
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jing Xu
- Department of Encephalopathy, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Ximing Liu
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- * E-mail: (XL); (XZ)
| | - Xiaoyun Zhu
- Department of Endocrinology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- * E-mail: (XL); (XZ)
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11
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Lin X, Chen Z, Huang H, Zhong J, Xu L. Diabetic kidney disease progression is associated with decreased lower-limb muscle mass and increased visceral fat area in T2DM patients. Front Endocrinol (Lausanne) 2022; 13:1002118. [PMID: 36277706 PMCID: PMC9582837 DOI: 10.3389/fendo.2022.1002118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 09/20/2022] [Indexed: 11/17/2022] Open
Abstract
AIM This study aimed to explore the relationship between lower-limb muscle mass/visceral fat area and diabetic kidney disease (DKD) progression in patients with type 2 diabetes mellitus (T2DM). METHODS A total of 879 participants with T2DM were divided into 4 groups according to the prognosis of CKD classification from Kidney Disease: Improving Global Outcomes (KDIGO). Rectus femoris cross-sectional area (RFCSA) was measured through ultrasound, and visceral fat area (VFA) was evaluated with bioelectric impedance analysis (BIA). RESULTS T2DM patients with high to very high prognostic risk of DKD showed a reduced RFCSA (male P < 0.001; female P < 0.05), and an enlarged VFA (male P < 0.05; female P < 0.05). The prognostic risk of DKD was negatively correlated with RFCSA (P < 0.05), but positively correlated with VFA (P < 0.05). Receiver-operating characteristic analysis revealed that the cutoff points of T2DM duration combined with RFCSA and VFA were as follows: (male: 7 years, 6.60 cm2, and 111 cm2; AUC = 0.82; 95% CI: 0.78-0.88; sensitivity, 78.0%; specificity, 68.6%, P < 0.001) (female: 9 years, 5.05 cm2, and 91 cm2; AUC = 0.73; 95% CI: 0.66-0.81; sensitivity, 73.9%; specificity, 63.3%, P < 0.001). CONCLUSION A significant association was demonstrated between reduced RFCSA/increased VFA and high- to very high-prognostic risk of DKD. T2DM duration, RFCSA, and VFA may be valuable markers of DKD progression in patients with T2DM. CLINICAL TRIAL REGISTRATION http://www.chictr.org.cn, identifier ChiCTR2100042214.
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Affiliation(s)
- Xiaopu Lin
- Department of Huiqiao Medical Centre, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhenguo Chen
- Department of Endocrinology, Shenzhen Hospital, Southern Medical University, Shenzhen, China
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Haishan Huang
- Department of Endocrinology, Shenzhen Hospital, Southern Medical University, Shenzhen, China
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Jingyi Zhong
- Department of Endocrinology, Shenzhen Hospital, Southern Medical University, Shenzhen, China
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Lingling Xu
- Department of Endocrinology, Shenzhen Hospital, Southern Medical University, Shenzhen, China
- *Correspondence: Lingling Xu,
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He ZY, Gu X, Du LJ, Hu X, Zhang XX, Yang LJ, Li YQ, Li J, Pan LY, Yang B, Gu XJ, Lin XL. Neck-to-height ratio is positively associated with diabetic kidney disease in Chinese patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2022; 13:1100354. [PMID: 36704030 PMCID: PMC9871585 DOI: 10.3389/fendo.2022.1100354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023] Open
Abstract
INTRODUCTION The aim of this study was to investigate the associations of neck circumference (NC) and neck-to-height (NHR) with diabetic kidney disease (DKD) in Chinese patients with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS A total of 2,615 patients with prevalent T2DM were enrolled. NHR was calculated through NC (cm) divided by height (cm), and prevalent DKD was defined as the urinary albumin-to-creatinine ratio (UACR) ≥ 30 mg/g or the estimated glomerular filtration rate (eGFR) < 60 ml/min per 1.73 m2 in the absence of other primary kidney diseases. RESULTS The levels of NC and NHR were higher in DKD patients compared with non-DKD patients (38.22 vs. 37.71, P = 0.003; 0.232 vs. 0.227, P < 0.001, respectively). After full adjustments, individuals at the highest tertile of NHR had higher odds of DKD than those at the lowest tertile (multivariate-adjusted OR = 1.63, 95% CI: 1.22, 2.18), but this association was not pronounced with NC (multivariate-adjusted OR = 1.24, 95% CI: 0.87, 1.76). Individuals at the highest tertile of NHR had lower eGFR (β = -4.64, 95% CI: -6.55, -2.74) and higher UACR levels (β = 0.27, 95% CI: 0.10, 0.45) than those at the lowest tertile. The adverse association between NHR and prevalent DKD remained statistically significant among most of the subgroups analyzed and no interaction effects were observed. CONCLUSION The increase in NHR was adversely and independently associated with DKD in this Chinese T2DM population.
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Affiliation(s)
- Zhi-Ying He
- Department of Endocrine and Metabolic Disease, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiao Gu
- Department of Endocrine and Metabolic Disease, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Lin-Jia Du
- Department of Endocrine and Metabolic Disease, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiang Hu
- Department of Endocrine and Metabolic Disease, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xing-Xing Zhang
- Department of Endocrine and Metabolic Disease, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Li-Juan Yang
- Department of Endocrine and Metabolic Disease, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Ying-Qian Li
- Department of Endocrine and Metabolic Disease, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jing Li
- Department of Endocrine and Metabolic Disease, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Lin-Yu Pan
- Department of Endocrine and Metabolic Disease, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Bo Yang
- Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, China
- Institute of Lipids Medicine, Wenzhou Medical University, Wenzhou, China
| | - Xue-Jiang Gu
- Department of Endocrine and Metabolic Disease, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Institute of Lipids Medicine, Wenzhou Medical University, Wenzhou, China
- *Correspondence: Xiu-Li Lin, ; Xue-Jiang Gu,
| | - Xiu-Li Lin
- Department of Infection, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- *Correspondence: Xiu-Li Lin, ; Xue-Jiang Gu,
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