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Bak JCG, de Vries SAG, Serné EH, Groenwold RHH, de Valk HW, Mul D, Sas TCJ, Bizino M, Nieuwdorp M, Kramer MHH, Verheugt CL. Mortality patterns in Dutch diabetes outpatients. Diabetes Obes Metab 2024; 26:4213-4224. [PMID: 39072872 DOI: 10.1111/dom.15750] [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: 01/29/2024] [Revised: 05/29/2024] [Accepted: 05/31/2024] [Indexed: 07/30/2024]
Abstract
AIM Diabetes mellitus is a major cause of death. Outpatients with diabetes have more complications than patients in general practice; mortality patterns have only been studied in the total diabetes population. This study aims to assess mortality, causes, and predictors in outpatients with diabetes. MATERIALS AND METHODS A cohort study, included people with diabetes mellitus from the nationwide Dutch Paediatric and Adult Registry of Diabetes (DPARD) visiting diabetes outpatient clinics in 2016-2020. DPARD data were linked to Statistics Netherlands (CBS), comprising data on mortality, ethnicity and education. All-cause and cardiovascular mortality rates were estimated using Cox proportional hazard regression. RESULTS During a median follow-up of 3.1 years among 12 992 people with diabetes, mortality rates per 10 000 person-years were 67.7 in adult type 1 diabetes and 324.2 in type 2 diabetes. The major cause of non-cardiovascular death was malignancy. During the pandemic years of influenza (2018) and COVID (2020), mortality rates peaked. Age, smoking and an estimated glomerular filtration rate of <60 ml/min were associated with all-cause mortality. In type 2 diabetes, additional factors were male sex, body mass index <20 kg/m2, diabetes duration <1 year and hypertension. CONCLUSIONS Mortality among Dutch outpatients with diabetes is high. Smoking and renal failure were associated with mortality in both types. Further focus on early detection and treatment of mortality-associated factors may improve clinical outcomes.
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Affiliation(s)
- Jessica C G Bak
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands
- Dutch Institute for Clinical Auditing, Leiden, Netherlands
| | - Silvia A G de Vries
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands
- Dutch Institute for Clinical Auditing, Leiden, Netherlands
| | - Erik H Serné
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Rolf H H Groenwold
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands
| | - Harold W de Valk
- Department of Internal Medicine, University Medical Center Utrecht, Utrecht, Netherlands
| | - Dick Mul
- Diabeter, Center for Pediatric and Adult Diabetes Care and Research, Rotterdam, Netherlands
| | - Theo C J Sas
- Diabeter, Center for Pediatric and Adult Diabetes Care and Research, Rotterdam, Netherlands
- Department of Pediatric Endocrinology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Maurice Bizino
- Department of Internal Medicine, Groene Hart Ziekenhuis, Gouda, The Netherlands
| | - Max Nieuwdorp
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Mark H H Kramer
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Carianne L Verheugt
- Department of Vascular Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands
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Zhang TY, Zhang ZM, Wang XN, Kuang HY, Xu Q, Li HX, Xu CY, Zhao KQ, Zhang C, Hao M. Relationship between weight-adjusted-waist index and all-cause and cardiovascular mortality in individuals with type 2 diabetes. Diabetes Obes Metab 2024. [PMID: 39295078 DOI: 10.1111/dom.15929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 08/21/2024] [Accepted: 08/21/2024] [Indexed: 09/21/2024]
Abstract
AIM To investigate the relationship between the weight-adjusted-waist index (WWI) and all-cause mortality as well as cardiovascular mortality in individuals with type 2 diabetes. METHODS We used data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 and the UK Biobank database. Restricted cubic spline curves and Cox proportional hazards models were employed to assess hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality. RESULTS In the UK Biobank database, compared with the lowest WWI quartile, the HR for all-cause and cardiovascular death in the highest quartile was 1.846 (95% CI 1.687-2.019) and 2.118 (95% CI 1.783-2.517), respectively, in the fully adjusted model. In the NHANES database, compared with the lowest WWI quartile, the highest quartile had an HR of 1.727 (95% CI 1.378-2.163) for all-cause death and 1.719 (95% CI 1.139-2.595) for cardiovascular death in the fully adjusted model. CONCLUSIONS Our study indicates that WWI has a long-term synergistic negative impact on all-cause mortality and cardiovascular mortality in individuals with type 2 diabetes. The WWI is an independent predictor of mortality in individuals with type 2 diabetes.
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Affiliation(s)
- Tian-Yu Zhang
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zi-Meng Zhang
- Department of Ophthalmology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xue-Ning Wang
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hong-Yu Kuang
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Qian Xu
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hong-Xue Li
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Cheng-Ye Xu
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Kang-Qi Zhao
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Cong Zhang
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ming Hao
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
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Rifin HM, Omar MA, Wan KS, Rodzlan Hasani WS. 10-year risk for cardiovascular diseases according to the WHO prediction chart: findings from the National Health and Morbidity Survey (NHMS) 2019. BMC Public Health 2024; 24:2513. [PMID: 39285436 PMCID: PMC11403776 DOI: 10.1186/s12889-024-19993-7] [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] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 09/04/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND There has been a significant increase in the incidence of cardiovascular disease (CVD) in Malaysia. It is important to identify the group at high risk of CVD. This study aimed to assess the population distribution and factors associated with 10-year CVD risk among adults aged 40 to 74 years in Malaysia. METHODS This study used secondary data from the NHMS 2019, a nationally representative cross-sectional population study. The following measurements were collected: anthropometric, systolic blood pressure, fasting blood glucose, total cholesterol, smoking, and sociodemographic. The 2019 WHO Southeast Asia laboratory-based charts were used to estimate individuals' CVD risk. These charts predict significant cardiovascular events over ten years. Multiple logistic regression analysis was employed to ascertain the factors that are linked to elevated or extremely elevated risk of CVD. RESULTS A total of 5,503 respondents were included in the analysis. Less than one-quarter of the respondents were current smokers and obese. Approximately 41.7%, 30.9%, and 22.5% of the participants had extremely low risk (less than 5%), low risk (between 5% and less than 10%), and moderate risk (between 10% and less than 20%), respectively. A total of 4.9% of the participants were categorised as having high (20% to < 30%) or very high (CVD) risk (≥ 30%). This classification was more prevalent among males (7.3%) than among females (2.5%; p < 0.001). The factors associated with high/very high CVD risk were unemployment (aOR = 1.88, 95% CI = 1.47-2.40), those with non-formal and primary education level (aOR = 2.36, 95% CI = 1.36 - 4.12 and aOR = 3.28, 95% CI = 2.10 - 5.12, respectively), and being physically inactive with obesity (aOR = 2.19, 95% CI = 1.18 - 4.08). CONCLUSIONS This study revealed that almost 5% of the population in Malaysia has a high 10-year CVD risk. These findings highlight Malaysia's urgent need for comprehensive CVD prevention efforts.
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Affiliation(s)
- Halizah Mat Rifin
- Institute for Public Health, National Institutes of Health, Ministry of Health, Blok B5 & B6, Kompleks NIH, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam, 40170, Selangor, Malaysia.
| | - Mohd Azahadi Omar
- Sector for Biostatistics & Data Repository, National Institutes of Health, Ministry of Health, Kompleks NIH, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam, 40170, Selangor, Malaysia
| | - Kim Sui Wan
- Institute for Public Health, National Institutes of Health, Ministry of Health, Blok B5 & B6, Kompleks NIH, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam, 40170, Selangor, Malaysia
| | - Wan Shakira Rodzlan Hasani
- Institute for Public Health, National Institutes of Health, Ministry of Health, Blok B5 & B6, Kompleks NIH, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam, 40170, Selangor, Malaysia
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Janota O, Mantovani M, Kwiendacz H, Irlik K, Bucci T, Lam SHM, Huang B, Alam U, Boriani G, Hendel M, Piaśnik J, Olejarz A, Włosowicz A, Pabis P, Wójcik W, Gumprecht J, Lip GYH, Nabrdalik K. Metabolically "extremely unhealthy" obese and non-obese people with diabetes and the risk of cardiovascular adverse events: the Silesia Diabetes - Heart Project. Cardiovasc Diabetol 2024; 23:326. [PMID: 39227929 PMCID: PMC11373332 DOI: 10.1186/s12933-024-02420-x] [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: 07/22/2024] [Accepted: 08/23/2024] [Indexed: 09/05/2024] Open
Abstract
BACKGROUND There is a growing burden of non-obese people with diabetes mellitus (DM). However, their cardiovascular risk (CV), especially in the presence of cardiovascular-kidney-metabolic (CKM) comorbidities is poorly characterised. The aim of this study was to analyse the risk of major CV adverse events in people with DM according to the presence of obesity and comorbidities (hypertension, chronic kidney disease, and dyslipidaemia). METHODS We analysed persons who were enrolled in the prospective Silesia Diabetes Heart Project (NCT05626413). Individuals were divided into 6 categories according to the presence of different clinical risk factors (obesity and CKM comorbidities): (i) Group 1: non-obese with 0 CKM comorbidities; (ii) Group 2: non-obese with 1-2 CKM comorbidities; (iii) Group 3: non-obese with 3 CKM comorbidities (non-obese "extremely unhealthy"); (iv) Group 4: obese with 0 CKM comorbidities; (v) Group 5: obese with 1-2 CKM comorbidities; and (vi) Group 6: obese with 3 CKM comorbidities (obese "extremely unhealthy"). The primary outcome was a composite of CV death, myocardial infarction (MI), new onset of heart failure (HF), and ischemic stroke. RESULTS 2105 people with DM were included [median age 60 (IQR 45-70), 48.8% females]. Both Group 1 and Group 6 were associated with a higher risk of events of the primary composite outcome (aHR 4.50, 95% CI 1.20-16.88; and aHR 3.78, 95% CI 1.06-13.47, respectively). On interaction analysis, in "extremely unhealthy" persons the impact of CKM comorbidities in determining the risk of adverse events was consistent in obese and non-obese ones (Pint=0.824), but more pronounced in individuals aged < 65 years compared to older adults (Pint= 0.028). CONCLUSION Both non-obese and obese people with DM and 3 associated CKM comorbidities represent an "extremely unhealthy" phenotype which are at the highest risk of CV adverse events. These results highlight the importance of risk stratification of people with DM for risk factor management utilising an interdisciplinary approach.
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Affiliation(s)
- Oliwia Janota
- Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland.
- Doctoral School, Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland.
- Department of Internal Medicine, Diabetology and Nephrology, Medical University of Silesia, Katowice, 40-055, Poland.
| | - Marta Mantovani
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Hanna Kwiendacz
- Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland
| | - Krzysztof Irlik
- Doctoral School, Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland
- Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Student's Scientific Association, Medical University of Silesia, Katowice, Poland
| | - Tommaso Bucci
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
- Department of General and Specialized Surgery, Sapienza University of Rome, Rome, Italy
| | - Steven H M Lam
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Bi Huang
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
- Department of Cardiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Uazman Alam
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
- Diabetes & Endocrinology Research and Pain Research Institute, Institute of Life Course and Medical Sciences, University of Liverpool and Liverpool University Hospital National Health Service Foundation Trust, Liverpool, UK
- Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke-on-Trent, UK
| | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Mirela Hendel
- Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Student's Scientific Association, Medical University of Silesia, Katowice, Poland
| | - Julia Piaśnik
- Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Student's Scientific Association, Medical University of Silesia, Katowice, Poland
| | - Anna Olejarz
- Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Student's Scientific Association, Medical University of Silesia, Katowice, Poland
| | - Aleksandra Włosowicz
- Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Student's Scientific Association, Medical University of Silesia, Katowice, Poland
| | - Patrycja Pabis
- Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Student's Scientific Association, Medical University of Silesia, Katowice, Poland
| | - Wiktoria Wójcik
- Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Student's Scientific Association, Medical University of Silesia, Katowice, Poland
| | - Janusz Gumprecht
- Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
- Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Katarzyna Nabrdalik
- Department of Internal Medicine, Diabetology and Nephrology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
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Li X, Huang Y, Chen M. Correlation of weight-adjusted waist index with diabetic retinopathy in US adults aged ≥ 40 years: the NHANES 2005-2008. Sci Rep 2024; 14:19369. [PMID: 39169035 PMCID: PMC11339398 DOI: 10.1038/s41598-024-69404-5] [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: 06/29/2023] [Accepted: 08/05/2024] [Indexed: 08/23/2024] Open
Abstract
The effect of obesity on diabetic retinopathy (DR) has been under scrutiny in recent years. The weight-adjusted waist index (WWI) has been reported to better assess the degree of centripetal obesity in humans, with a higher WWI indicating a higher amount of body fat. The present study is the first to investigate the relationship between WWI and DR and to assess the difference in the predictive ability of WWI and other obesity indices for DR. This cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2008. Researchers collected complete anthropometric data (weight and waist circumference), dilated fundus images, and adult baseline information. Independent interactions between WWI and DR were investigated using multivariate regression and subgroup analyses. In addition, nonlinear associations and threshold effects between WWI and DR were searched for by smoothed curve fitting and by two-stage linear regression modeling. Finally, the receiver operating characteristic curve (ROC) was plotted to compare the predictive power of WWI with other indices of obesity for DR. A total of 1228 eligible patients with diabetes were collected in this study. There were 631 (51.38%) males and 597 (48.62%) females. Among them, 545 (44.38%) were without diabetic retinopathy, 555 (45.20%) had mild diabetic retinopathy, 100 (8.14%) had moderate/severe diabetic retinopathy and 28 (2.28%) had proliferative diabetic retinopathy (PDR). In the fully adjusted model, each unit increase in WWI was associated with a corresponding 31% reduction in the prevalence of DR [OR (95% CI) = 0.69 (0.58, 0.83)]. Compared with subjects in the lowest quartile (quartile 1), subjects in the highest quartile of WWI levels (quartile 4) were 45% less likely to have DR [OR (95% CI) = 0.55 (0.38, 0.78)]. In the case of female participants, a U-shaped correlation was observed between WWI and DR with an inflection point of 11.49. WWI also possesses a better predictive ability for DR compared to obesity indicators such as weight, BMI, and ABSI. This study showed a negative association between WWI and DR in the U.S. population aged 40 years and older.
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Affiliation(s)
- Xiao Li
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yanqin Huang
- Department of Endocrinology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
| | - Meirong Chen
- Department of Ophthalmology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
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Pandey S, Changela M, Manvar K, Bellamkonda A, Rayapureddy AK, Aryal B, Kunwar K, Adhikari S, Patel D, Panigrahi K, Kalavar M. A Retrospective Cohort Study From the National Inpatient Sample Database (2016-2019): Does Obesity Affect the Outcomes of Hospitalization Due to Hepatocellular Carcinoma? Cureus 2024; 16:e62352. [PMID: 39006727 PMCID: PMC11246773 DOI: 10.7759/cureus.62352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/13/2024] [Indexed: 07/16/2024] Open
Abstract
INTRODUCTION Obesity is commonly reported to be associated with hepatocellular carcinoma (HCC) along with higher risks of mortality. However, there is a significant research gap regarding the outcomes of hospitalization due to HCC among obese patients compared to those without obesity. This study compares the outcomes of hospitalization among those two groups. METHODS A total of 50,845 patients admitted from 2016 to 2019 with a principal admission diagnosis of HCC were identified using the International Classification of Disease 10 (ICD-10) coding from the National Inpatient Sample (NIS) database. Patients with a body mass index (BMI) >30 were stratified into the obese cohort, and those with BMI ≤30 into the non-obese cohort as per the ICD-10 coding criteria for obesity based on BMI. The primary outcome of the study was mortality, whereas the length of stay, total hospitalization charges, acute kidney injury (AKI), sepsis, and shock were the secondary outcomes. We also compared additional complications such as ascites, portal hypertension, acute liver failure, disseminated intravascular coagulation (DIC), hepatic encephalopathy, and hepatorenal syndrome between the two groups. A multivariate regression model was used to estimate the effect of obesity on outcomes of hospitalization due to HCC. RESULTS The obese cohort comprised 10.64% of the study population, whereas the non-obese cohort comprised 89.36% of the study population. Compared to the non-obese cohort, the obese cohort of patients with HCC were more likely to have a higher comorbidity index (CCI ≥4: 79.76% in the obese vs 71.17 % in the non-obese cohort). Obesity was found to be a protective factor for in-hospital mortality; that is, the odds of in-hospital mortality among the obese cohort was 0.713 times than that of the non-obese group of patients with HCC. The obese cohort had a higher mean length of stay (6.3 days vs 5.6 days; p value: <0.001) and total hospitalization charges (109,108$ vs 85,406$; p value: <0.001), which was further validated on multivariate analysis. The obese cohort had 1.26 times odds of developing AKI compared to the non-obese cohort (p value: 0.005). Sepsis, shock, and other complications such as acute liver failure, DIC, hepatic encephalopathy, hepatorenal syndrome, and portal hypertension were not significantly different between the two groups. CONCLUSION Obesity was associated with reduced in-hospital mortality among patients with HCC. However, obese patients with HCC were found to have higher healthcare resource utilization in terms of length of stay and total hospitalization charge along with the development of AKI. Clinicians should be mindful of the potential longer length of stay and associated complications such as AKI while managing obese patients with HCC. Contrary to commonly held notions, obesity and its relation with in-hospital mortality reported in this study warrants further explorative research.
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Affiliation(s)
- Sagar Pandey
- Internal Medicine, One Brooklyn Health/Interfaith Medical Center, Brooklyn, USA
| | - Madhav Changela
- Internal Medicine, One Brooklyn Health/Interfaith Medical Center, Brooklyn, USA
| | - Kapilkumar Manvar
- Hematology and Medical Oncology, One Brooklyn Health/Brookdale University Hospital Medical Center, Brooklyn, USA
| | - Amulya Bellamkonda
- Internal Medicine, One Brooklyn Health/Interfaith Medical Center, Brooklyn, USA
| | | | - Binit Aryal
- Internal Medicine, One Brooklyn Health/Interfaith Medical Center, Brooklyn, USA
| | - Kalendra Kunwar
- Internal Medicine, One Brooklyn Health/Interfaith Medical Center, Brooklyn, USA
| | - Samaj Adhikari
- Internal Medicine, Decatur Memorial Hospital, Decatur, USA
| | - Dhruvanshu Patel
- Internal Medicine, St. Luke's University Health Network, Bethlehem, USA
| | - Kalpana Panigrahi
- Internal Medicine, One Brooklyn Health/Interfaith Medical Center, Brooklyn, USA
| | - Madhumati Kalavar
- Hematology and Medical Oncology, One Brooklyn Health/Interfaith Medical Center, Brooklyn, USA
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Yue Z, Jin Y, Sha H, Wu Q, Li L, Xia Y, Hu K. The Therapeutic Effectiveness of Laparoscopic Sleeve Gastrectomy Among Individuals with Low BMI Obesity (30-35 Kg/m 2) and the Relationship of BMI to Weight Loss. Int J Gen Med 2024; 17:1521-1531. [PMID: 38680193 PMCID: PMC11055552 DOI: 10.2147/ijgm.s454052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 03/27/2024] [Indexed: 05/01/2024] Open
Abstract
Purpose Investigating the therapeutic efficacy of Laparoscopic Sleeve Gastrectomy (LSG) in low BMI (30-35 kg/m2) patients with obesity, and exploring the correlation between patients' preoperative BMI and postoperative weight loss. Methods Comparing the weight loss, remission of comorbidities, occurrence of complications, and quality of life among the different BMI patients who underwent LSG. Analyzing the relationship between BMI and percentage of excess weight loss (%EWL) by using Spearman correlation analysis and linear regression analysis. Results The %EWL at 12 months after the surgical procedure was (104.26±16.41)%, (90.36±9.98)%, and (78.30±14.64)% for patients with Class I, II, and III obesity, respectively, P<0.05. Spearman correlation coefficients between %EWL and BMI at 1, 3, 6, and 12 months after surgery were R=-0.334 (P<0.001), R=-0.389 (P<0.001), and R=-0.442 (P<0.001), R=-0.641 (P<0.001), respectively. The remission of hypertension, diabetes and dyslipidaemia did not differ significantly between groups (P>0.05). Conclusion Individuals with obesity for varying BMI can experience favorable outcomes following LSG surgery. It is advisable to consider LSG treatment for patients with Class I obesity.
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Affiliation(s)
- Zilong Yue
- Department of Gastrointestinal Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, People’s Republic of China
- General Surgery Department, Guoyang Branch of Anhui Provincial Hospital, Bozhou, Anhui, People’s Republic of China
| | - Yan Jin
- Department of Gastrointestinal Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, People’s Republic of China
- Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Hui Sha
- Department of Gastrointestinal Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, People’s Republic of China
| | - Qin Wu
- Department of Gastrointestinal Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, People’s Republic of China
| | - Lele Li
- Department of Gastrointestinal Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, People’s Republic of China
| | - Yabin Xia
- Department of Gastrointestinal Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, People’s Republic of China
| | - Kaifeng Hu
- Department of Gastrointestinal Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, People’s Republic of China
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Wang Z, Lavikainen P, Wikström K, Laatikainen T. Trajectories of Body Mass Index and Risk for Diabetes Complications and All-Cause Mortality in Finnish Type 2 Diabetes Patients. Clin Epidemiol 2024; 16:203-212. [PMID: 38567371 PMCID: PMC10986625 DOI: 10.2147/clep.s450455] [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] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/05/2024] [Indexed: 04/04/2024] Open
Abstract
Objective We aimed to assess how longitudinal body mass index (BMI) trajectories are associated with diabetes complications and all-cause mortality in Finnish patients with type 2 diabetes (T2D). Methods In this cohort study, electronic health records from public primary and specialized healthcare services in all 13 municipalities of North Karelia, Finland, were utilized. This study included a total of 889 adults with newly diagnosed T2D in 2011 or 2012 (mean age at baseline 62.0 years). Individual BMI trajectories from the T2D diagnosis until 2014 were estimated and grouped by growth mixture modeling (GMM). Hazard ratios (HRs) with 95% confidence intervals (CIs) for microvascular complications, macrovascular complications, any diabetes complications, and all-cause mortality from 2015 to 2022 across BMI trajectory groups were estimated using Cox regression models. Results Three distinct BMI trajectory groups were identified using GMM and labeled as follows: "stable" (n = 774, 87.1%), "decreasing" (n = 87, 9.8%), and "increasing" (n = 28, 3.1%). During a median follow-up of 8 years, there were 119 (13.3%) patients with microvascular complications, 187 (21.0%) with macrovascular complications, 258 (29.0%) with any diabetes complications, and 180 (20.2%) deaths. Compared with the "stable" BMI, the "increasing" BMI was associated with an increased risk of microvascular complications (HR = 2.88, 95% CI: 1.32 to 6.28), macrovascular complications (HR = 2.52, 95% CI: 1.17 to 5.43), and any diabetes complications (HR = 2.21, 95% CI: 1.16 to 4.20). The "decreasing" BMI was associated with an increased risk of all-cause mortality (HR = 1.90, 95% CI: 1.14 to 3.15), compared to the "stable" BMI. Conclusion Our findings underscore the significance of continuous BMI monitoring and weight management in patients with T2D. Tailored treatments are crucial for efficiently preventing weight gain and reducing the risk of diabetes complications.
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Affiliation(s)
- Zhiting Wang
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Piia Lavikainen
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Katja Wikström
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Tiina Laatikainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Joint Municipal Authority for North Karelia Social and Health Services, Joensuu, Finland
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9
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Agius R, Pace NP, Fava S. Phenotyping obesity: A focus on metabolically healthy obesity and metabolically unhealthy normal weight. Diabetes Metab Res Rev 2024; 40:e3725. [PMID: 37792999 DOI: 10.1002/dmrr.3725] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 07/23/2023] [Accepted: 08/11/2023] [Indexed: 10/06/2023]
Abstract
Over the past 4 decades, research has shown that having a normal body weight does not automatically imply preserved metabolic health and a considerable number of lean individuals harbour metabolic abnormalities typically associated with obesity. Conversely, excess adiposity does not always equate with an abnormal metabolic profile. In fact, evidence exists for the presence of a metabolically unhealthy normal weight (MUHNW) and a metabolically healthy obese (MHO) phenotype. It has become increasingly recognised that different fat depots exert different effects on the metabolic profile of each individual by virtue of their location, structure and function, giving rise to these different body composition phenotypes. Furthermore, other factors have been implicated in the aetiopathogenesis of the body composition phenotypes, including genetics, ethnicity, age and lifestyle/behavioural factors. Even though to date both MHO and MUHNW have been widely investigated and documented in the literature, studies report different outcomes on long-term cardiometabolic morbidity and mortality. Future large-scale, observational and population-based studies are required for better profiling of these phenotypes as well as to further elucidate the pathophysiological role of the adipocyte in the onset of metabolic disorders to allow for better risk stratification and a personalised treatment paradigm.
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Affiliation(s)
- Rachel Agius
- University of Malta Medical School, Msida, Malta
- Mater Dei Hospital, Msida, Malta
| | | | - Stephen Fava
- University of Malta Medical School, Msida, Malta
- Mater Dei Hospital, Msida, Malta
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10
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Belger C, Abrahams C, Imamdin A, Lecour S. Doxorubicin-induced cardiotoxicity and risk factors. IJC HEART & VASCULATURE 2024; 50:101332. [PMID: 38222069 PMCID: PMC10784684 DOI: 10.1016/j.ijcha.2023.101332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 12/14/2023] [Accepted: 12/16/2023] [Indexed: 01/16/2024]
Abstract
Doxorubicin (DOX) is an anthracycline antibiotic widely used as a chemotherapeutic agent to treat solid tumours and hematologic malignancies. Although useful in the treatment of cancers, the benefit of DOX is limited due to its cardiotoxic effect that is observed in a large number of patients. In the literature, there is evidence that the presence of various factors may increase the risk of developing DOX-induced cardiotoxicity. A better understanding of the role of these different factors in DOX-induced cardiotoxicity may facilitate the choice of the therapeutic approach in cancer patients suffering from various cardiovascular risk factors. In this review, we therefore discuss the latest findings in both preclinical and clinical research suggesting a link between DOX-induced cardiotoxicity and various risk factors including sex, age, ethnicity, diabetes, dyslipidaemia, obesity, hypertension, cardiovascular disease and co-medications.
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Affiliation(s)
| | | | - Aqeela Imamdin
- Cardioprotection Group, Cape Heart Institute, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Sandrine Lecour
- Cardioprotection Group, Cape Heart Institute, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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11
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Kuo CS, Kuo NR, Yeh YK, Lee YJ, Chuang LM, Chen HF, Chen CC, Lee CC, Hsu CC, Li HY, Ou HY, Hwu CM. Residual risk of cardiovascular complications in statin-using patients with type 2 diabetes: the Taiwan Diabetes Registry Study. Lipids Health Dis 2024; 23:24. [PMID: 38263010 PMCID: PMC10804647 DOI: 10.1186/s12944-023-02001-z] [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: 11/05/2023] [Accepted: 12/31/2023] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND The residual risks of atherosclerotic cardiovascular disease in statin-treated patients with diabetes remain unclear. This study was conducted to identify factors associated with these residual risks in patients with no prior vascular event. METHODS Data on 683 statin-using patients with type 2 diabetes mellitus (T2DM) from the Taiwan Diabetes Registry were used in this study. Patients aged < 25 or > 65 years at the time of diabetes diagnosis and those with diabetes durations ≥ 20 years were excluded. The United Kingdom Prospective Diabetes Study risk engine (version 2.01; https://www.dtu.ox.ac.uk/riskengine/ ) was used to calculate 10-year residual nonfatal and fatal coronary heart disease (CHD) and stroke risks. Associations of these risks with physical and biochemical variables, including medication use and comorbidity, were examined. RESULTS The 10-year risks of nonfatal CHD in oral anti-diabetic drug (OAD), insulin and OAD plus insulin groups were 11.8%, 16.0%, and 16.8%, respectively. The 10-year risks of nonfatal stroke in OAD, insulin and OAD plus insulin groups were 3.0%, 3.4%, and 4.3%, respectively. In the multivariate model, chronic kidney disease (CKD), neuropathy, insulin use, calcium-channel blocker (CCB) use, higher body mass indices (BMI), low-density lipoprotein (LDL), fasting glucose, log-triglyceride (TG), and log-alanine transaminase (ALT) levels were associated with an increased CHD risk. The residual risk of stroke was associated with CKD, neuropathy, CCB use, and lower LDL cholesterol levels, higher BMI and diastolic blood pressure. CONCLUSION This study indicated that insulin was probably a residual risk factor of CHD but not stroke, and that there was a possible presence of obesity paradox in patients with T2DM on statin therapy. In addition to lowering TG and normalizing fasting glucose levels, lower LDL cholesterol level is better for reduction of risk of CHD on statin therapy. On the other hand, lower LDL cholesterol level could potentially be related to higher risk of stroke among populations receiving statin therapy. These findings suggest potential therapeutic targets for residual cardiovascular risk reduction in patients with T2DM on statin therapy.
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Affiliation(s)
- Chin-Sung Kuo
- Division of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, 112, No. 201, Sec. 2, Shih-Pai Road, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Nai-Rong Kuo
- Division of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, 112, No. 201, Sec. 2, Shih-Pai Road, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yun-Kai Yeh
- Division of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, 112, No. 201, Sec. 2, Shih-Pai Road, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yau-Jiunn Lee
- Department of Internal Medicine, Lee's Endocrinology Clinic, Pingtung, Taiwan
| | - Lee-Ming Chuang
- Division of Endocrinology & Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan, ROC
| | - Hua-Fen Chen
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Ching-Chu Chen
- Division of Endocrinology and Metabolism, Department of Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Chun-Chuan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
| | - Chih-Cheng Hsu
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan
| | - Hung-Yuan Li
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Horng-Yih Ou
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Cheng Kung University Hospital, Tainan, Taiwan.
- College of Medicine, National Cheng Kung University, Tainan, Taiwan.
| | - Chii-Min Hwu
- Division of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, 112, No. 201, Sec. 2, Shih-Pai Road, Taipei, Taiwan.
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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12
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Ahmad A, Lim LL, Morieri ML, Tam CHT, Cheng F, Chikowore T, Dudenhöffer-Pfeifer M, Fitipaldi H, Huang C, Kanbour S, Sarkar S, Koivula RW, Motala AA, Tye SC, Yu G, Zhang Y, Provenzano M, Sherifali D, de Souza RJ, Tobias DK, Gomez MF, Ma RCW, Mathioudakis N. Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis. COMMUNICATIONS MEDICINE 2024; 4:11. [PMID: 38253823 PMCID: PMC10803333 DOI: 10.1038/s43856-023-00429-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 12/14/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with Type 2 diabetes (T2D). METHODS We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies. RESULTS Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort. CONCLUSIONS Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.
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Affiliation(s)
- Abrar Ahmad
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Asia Diabetes Foundation, Hong Kong SAR, China
| | - Mario Luca Morieri
- Metabolic Disease Unit, University Hospital of Padova, Padova, Italy
- Department of Medicine, University of Padova, Padova, Italy
| | - Claudia Ha-Ting Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Feifei Cheng
- Health Management Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Tinashe Chikowore
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Hugo Fitipaldi
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Chuiguo Huang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | - Sudipa Sarkar
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Robert Wilhelm Koivula
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Sok Cin Tye
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, the Netherlands
- Sections on Genetics and Epidemiology, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Gechang Yu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yingchai Zhang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Michele Provenzano
- Nephrology, Dialysis and Renal Transplant Unit, IRCCS-Azienda Ospedaliero-Universitaria di Bologna, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Diana Sherifali
- Heather M. Arthur Population Health Research Institute, McMaster University, Ontario, Canada
| | - Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences Corporation, Hamilton, Ontario, Canada
| | | | - Maria F Gomez
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden.
- Faculty of Health, Aarhus University, Aarhus, Denmark.
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Nestoras Mathioudakis
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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13
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Di Fusco SA, Mocini E, Gulizia MM, Gabrielli D, Grimaldi M, Oliva F, Colivicchi F. ANMCO (Italian Association of Hospital Cardiologists) scientific statement: obesity in adults-an approach for cardiologists. Eat Weight Disord 2024; 29:1. [PMID: 38168872 PMCID: PMC10761446 DOI: 10.1007/s40519-023-01630-8] [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: 08/29/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024] Open
Abstract
Obesity is a complex, chronic disease requiring a multidisciplinary approach to its management. In clinical practice, body mass index and waist-related measurements can be used for obesity screening. The estimated prevalence of obesity among adults worldwide is 12%. With the expected further increase in overall obesity prevalence, clinicians will increasingly be managing patients with obesity. Energy balance is regulated by a complex neurohumoral system that involves the central nervous system and circulating mediators, among which leptin is the most studied. The functioning of these systems is influenced by both genetic and environmental factors. Obesity generally occurs when a genetically predisposed individual lives in an obesogenic environment for a long period. Cardiologists are deeply involved in evaluating patients with obesity. Cardiovascular risk profile is one of the most important items to be quantified to understand the health risk due to obesity and the clinical benefit that a single patient can obtain with weight loss. At the individual level, appropriate patient involvement, the detection of potential obesity causes, and a multidisciplinary approach are tools that can improve clinical outcomes. In the near future, we will probably have new pharmacological tools at our disposal that will facilitate achieving and maintaining weight loss. However, pharmacological treatment alone cannot cure such a complex disease. The aim of this paper is to summarize some key points of this field, such as obesity definition and measurement tools, its epidemiology, the main mechanisms underlying energy homeostasis, health consequences of obesity with a focus on cardiovascular diseases and the obesity paradox.Level of evidence V: report of expert committees.
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Affiliation(s)
- Stefania Angela Di Fusco
- Emergency Department, Clinical and Rehabilitation Cardiology Unit, San Filippo Neri Hospital, ASL Roma 1, Rome, Italy
| | - Edoardo Mocini
- Department of Experimental Medicine, Sapienza University, 00161, Rome, Italy.
| | | | - Domenico Gabrielli
- Cardio-Thoracic-Vascular Department, San Camillo-Forlanini Hospital, Rome, Italy
- Heart Care Foundation, Florence, Italy
| | - Massimo Grimaldi
- Department of Cardiology, General Regional Hospital "F. Miulli", Acquaviva delle Fonti, 70021, Bari, Italy
| | - Fabrizio Oliva
- De Gasperis Cardio Center, Niguarda Hospital, 20162, Milan, Italy
| | - Furio Colivicchi
- Emergency Department, Clinical and Rehabilitation Cardiology Unit, San Filippo Neri Hospital, ASL Roma 1, Rome, Italy
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14
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Li YS, Li JB, Wang JJ, Wang XH, Jiang WR, Qiu HN, Xia LF, Wu F, Lin CY, Liu YL, Lin JN. Risk factors for cognitive impairment in middle-aged type 2 diabetic patients: a cross-sectional study. BMJ Open 2024; 14:e074753. [PMID: 38167287 PMCID: PMC10773412 DOI: 10.1136/bmjopen-2023-074753] [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: 04/17/2023] [Accepted: 12/11/2023] [Indexed: 01/05/2024] Open
Abstract
OBJECTIVE The aim of this study was to investigate risk factors for cognitive impairment (CI) and explore the relationship between obesity and cognition in hospitalised middle-aged patients with type 2 diabetes (T2DM). METHODS Subjects were divided into normal cognitive function (NCF) (n=320) and CI (n=204) groups based on the results of the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE). The risk factors for CI were determined by logistic regression analysis and generalised linear modelling. The associations between obesity parameters (body mass index (BMI) and waist circumference (WC)) and cognitive ability were studied with the use of linear regression analysis, piecewise regression modelling and interaction analysis. The receiver operating characteristic curve analysis was used to examine the diagnostic value of influencing factors for cc RESULTS: The prevalence of CI was 38.9% in hospitalised middle-aged T2DM patients (median age, 58 years). Age, WC, hypoglycaemic episode within past 3 months and cerebrovascular disease (CVD) were identified as independent risk factors for CI, while the independent protective factors were education, diabetic dietary pattern, overweight and obesity. BMI was a protective factor for the MoCA score within a certain range, whereas WC was a risk factor for the MMSE and MoCA scores. The area under the curve for the combination of BMI and WC was 0.754 (p<0.001). CONCLUSION Age, education, diabetic dietary pattern, WC, overweight, obesity, hypoglycaemic episode in 3 months and CVD may be potential influencing factors for the occurrence of CI in hospitalised middle-aged population with T2DM. The combination of BMI and WC may represent a good predictor for early screening of CI in this population. Nevertheless, more relevant prospective studies are still needed.
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Affiliation(s)
- Yao-Shuang Li
- Tianjin Union Medical Center, Tianjin Medical University, Heping, Tianjin, China
- Department of Endocrinology, Tianjin Union Medical Center Tianjin People's Hospital, Hongqiao, Tianjin, China
| | - Jing-Bo Li
- Department of Endocrinology, Tianjin Union Medical Center Tianjin People's Hospital, Hongqiao, Tianjin, China
| | - Jun-Jia Wang
- Department of Endocrinology, Tianjin Union Medical Center Tianjin People's Hospital, Hongqiao, Tianjin, China
- Tianjin Union Medical Center, Tianjin University of Traditional Chinese Medicine, Jinghai, Tianjin, China
| | - Xiao-He Wang
- Institute of Non-Communicable Diseases Control and Prevention, Tianjin Centers for Disease Control and Prevention, Hedong, Tianjin, China
| | - Wei-Ran Jiang
- Eastman Institute for Oral Health, University of Rochester Medical Center, Rochester, New York, USA
| | - Hui-Na Qiu
- Department of Endocrinology, Tianjin Union Medical Center Tianjin People's Hospital, Hongqiao, Tianjin, China
| | - Long-Fei Xia
- Tianjin Union Medical Center, Tianjin Medical University, Heping, Tianjin, China
- Department of Endocrinology, Tianjin Union Medical Center Tianjin People's Hospital, Hongqiao, Tianjin, China
| | - Fan Wu
- Department of Endocrinology, Tianjin Union Medical Center Tianjin People's Hospital, Hongqiao, Tianjin, China
| | - Chen-Ying Lin
- Tianjin Union Medical Center, Tianjin Medical University, Heping, Tianjin, China
- Department of Endocrinology, Tianjin Union Medical Center Tianjin People's Hospital, Hongqiao, Tianjin, China
| | - Yan-Lan Liu
- Department of Endocrinology, Tianjin Union Medical Center Tianjin People's Hospital, Hongqiao, Tianjin, China
| | - Jing-Na Lin
- Department of Endocrinology, Tianjin Union Medical Center Tianjin People's Hospital, Hongqiao, Tianjin, China
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15
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Cai X, Song S, Hu J, Zhu Q, Yang W, Hong J, Luo Q, Yao X, Li N. Body roundness index improves the predictive value of cardiovascular disease risk in hypertensive patients with obstructive sleep apnea: a cohort study. Clin Exp Hypertens 2023; 45:2259132. [PMID: 37805984 DOI: 10.1080/10641963.2023.2259132] [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: 04/10/2023] [Accepted: 09/06/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Obesity, especially visceral obesity, plays an important role in the progression of cardiovascular disease (CVD). The body roundness index (BRI) is a new measure of obesity that is considered to reflect visceral obesity more comprehensively than other measures. This study aims to evaluate the relationship between BRI and CVD risk in hypertensive patients with obstructive sleep apnea (OSA) and explore its superiority in predicting CVD. METHODS The Cox proportional hazards model was used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident CVD. The area under the curve (AUC), continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to assess which measures of obesity had the best predictive value for CVD risk. RESULTS During a median follow-up period of 6.8 years, 324 participants suffered a CVD event. After multivariable adjustment, compared with the reference group (the first tertile), the HRs (95% CI) of CVD were 1.25 (95% CI, 0.93-1.70) and 1.74 (95% CI, 1.30-2.33) for subjects in the tertile 2 and tertile 3 groups, respectively. Compared with other measurement indicators, BRI has the highest predictive value for CVD risk [AUC: 0.627, 95% CI: 0.593-0.661]. The addition of the BRI to the fully adjusted multivariate model improved the predictive power for CVD, which was validated in the continuous NRI and the IDI (all P < .05). CONCLUSIONS BRI was significantly associated with the risk of CVD in hypertensive patients with OSA. Furthermore, BRI may improve CVD risk prediction in hypertensive patients with OSA.
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Affiliation(s)
- Xintian Cai
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Shuaiwei Song
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Junli Hu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Qing Zhu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Wenbo Yang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Jing Hong
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Qin Luo
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Xiaoguang Yao
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Nanfang Li
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
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Laanani M, Viallon V, Coste J, Rey G. Collider and reporting biases involved in the analyses of cause of death associations in death certificates: an illustration with cancer and suicide. Popul Health Metr 2023; 21:21. [PMID: 38098030 PMCID: PMC10722743 DOI: 10.1186/s12963-023-00320-y] [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: 05/09/2019] [Accepted: 12/03/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Mortality data obtained from death certificates have been studied to explore causal associations between diseases. However, these analyses are subject to collider and reporting biases (selection and information biases, respectively). We aimed to assess to what extent associations of causes of death estimated from individual mortality data can be extrapolated as associations of disease states in the general population. METHODS We used a multistate model to generate populations of individuals and simulate their health states up to death from national health statistics and artificially replicate collider bias. Associations between health states can then be estimated from such simulated deaths by logistic regression and the magnitude of collider bias assessed. Reporting bias can be approximated by comparing the estimates obtained from the observed death certificates (subject to collider and reporting biases) with those obtained from the simulated deaths (subject to collider bias only). As an illustrative example, we estimated the association between cancer and suicide in French death certificates and found that cancer was negatively associated with suicide. Collider bias, due to conditioning inclusion in the study population on death, increasingly downwarded the associations with cancer site lethality. Reporting bias was much stronger than collider bias and depended on the cancer site, but not prognosis. RESULTS The magnitude of the biases ranged from 1.7 to 9.3 for collider bias, and from 4.7 to 64 for reporting bias. CONCLUSIONS These results argue for an assessment of the magnitude of both collider and reporting biases before performing analyses of cause of death associations exclusively from mortality data. If these biases cannot be corrected, results from these analyses should not be extrapolated to the general population.
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Affiliation(s)
- Moussa Laanani
- French Centre for Epidemiology on Medical Causes of Death (CépiDc-Inserm), Le Kremlin-Bicêtre, France.
- Biostatistics and Epidemiology Department, Cochin Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), Paris Cité University, Paris, France.
- Strategy and Research Department, French National Health Insurance, Paris, France.
| | - Vivian Viallon
- Nutritional Methodology and Biostatistics Group (NMB), International Agency for Research on Cancer (IARC) - World Health Organization, Lyon, France
| | - Joël Coste
- Biostatistics and Epidemiology Department, Cochin Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), Paris Cité University, Paris, France
- French National Public Health Agency, Saint-Maurice, France
| | - Grégoire Rey
- French Centre for Epidemiology on Medical Causes of Death (CépiDc-Inserm), Le Kremlin-Bicêtre, France
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Khan SS, Coresh J, Pencina MJ, Ndumele CE, Rangaswami J, Chow SL, Palaniappan LP, Sperling LS, Virani SS, Ho JE, Neeland IJ, Tuttle KR, Rajgopal Singh R, Elkind MSV, Lloyd-Jones DM. Novel Prediction Equations for Absolute Risk Assessment of Total Cardiovascular Disease Incorporating Cardiovascular-Kidney-Metabolic Health: A Scientific Statement From the American Heart Association. Circulation 2023; 148:1982-2004. [PMID: 37947094 DOI: 10.1161/cir.0000000000001191] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
Cardiovascular-kidney-metabolic (CKM) syndrome is a novel construct recently defined by the American Heart Association in response to the high prevalence of metabolic and kidney disease. Epidemiological data demonstrate higher absolute risk of both atherosclerotic cardiovascular disease (CVD) and heart failure as an individual progresses from CKM stage 0 to stage 3, but optimal strategies for risk assessment need to be refined. Absolute risk assessment with the goal to match type and intensity of interventions with predicted risk and expected treatment benefit remains the cornerstone of primary prevention. Given the growing number of therapies in our armamentarium that simultaneously address all 3 CKM axes, novel risk prediction equations are needed that incorporate predictors and outcomes relevant to the CKM context. This should also include social determinants of health, which are key upstream drivers of CVD, to more equitably estimate and address risk. This scientific statement summarizes the background, rationale, and clinical implications for the newly developed sex-specific, race-free risk equations: PREVENT (AHA Predicting Risk of CVD Events). The PREVENT equations enable 10- and 30-year risk estimates for total CVD (composite of atherosclerotic CVD and heart failure), include estimated glomerular filtration rate as a predictor, and adjust for competing risk of non-CVD death among adults 30 to 79 years of age. Additional models accommodate enhanced predictive utility with the addition of CKM factors when clinically indicated for measurement (urine albumin-to-creatinine ratio and hemoglobin A1c) or social determinants of health (social deprivation index) when available. Approaches to implement risk-based prevention using PREVENT across various settings are discussed.
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18
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Nabrdalik K, Bisson A, Irlik K, Fauchier G, Ducluzeau PH, Lip GYH, Fauchier L. Metabolically 'extremely unhealthy' obese and non-obese patients with diabetes and the risk of cardiovascular events: a French nationwide cohort study. Clin Res Cardiol 2023:10.1007/s00392-023-02344-8. [PMID: 38047924 DOI: 10.1007/s00392-023-02344-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 11/10/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND Non-obese patients with diabetes mellitus (DM) are becoming more prevalent, but their cardiovascular risk (CV) especially when accompanied with cardio-renal-metabolic co-morbidities (hypertension, chronic kidney disease, hyperlipidemia) is not well characterised. The aim of the study was to assess the CV risk among patients with DM in relation to obesity and cardio-renal-metabolic co-morbidities. MATERIALS AND METHODS This was a cohort study of all patients with DM without a history of major adverse cardiovascular event who were hospitalized for any reason in France in 2013 with at least 5 years of follow-up. They were categorized by the presence of obesity vs no obesity, as well as three cardio-renal-metabolic co-morbidities: hypertension, chronic kidney disease, hyperlipidemia. 'Extremely unhealthy' patients with DM were defined as those having all 3 co-morbidities. RESULTS There were 196,112 patients (mean age 65.7 (SD 13.7) years; 54.3% males) included into the analysis. During a mean follow-up of 4.69 ± 1.79 years, when adjusted for multiple covariates, the non-obese and 'extremely unhealthy' obese patients had the highest risk of CV death [aHR 1.40 (95% CI, 1.22-1.61) and 1.48 (95% CI, 1.25-1.75), respectively]. The 'extremely unhealthy' obese had the highest risk of MACE-HF [aHR 1.84 (95% CI, 1.72-1.97)] and new-onset AF [aHR 1.64 (95% CI, 1.47-1.83)]. CONCLUSION Both non-obese and obese patients with DM with associated cardio-renal-metabolic co-morbidities are an 'extremely unhealthy' phenotype with the highest risk of CV death and CV events.
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Affiliation(s)
- Katarzyna Nabrdalik
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
- Faculty of Medical Sciences in Zabrze, Department of Internal Medicine, Diabetology and Nephrology, Medical University of Silesia, Katowice, Poland
| | - Arnaud Bisson
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
- Service de Cardiologie, Centre Hospitalier Universitaire et Faculté de Médecine, Université de Tours, Tours, France
- Service de Cardiologie, Centre Hospitalier Universitaire d'Orléans, Orléans, France
| | - Krzysztof Irlik
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
- Faculty of Medical Sciences in Zabrze, Student's Scientific Association at the Department of Internal Medicine, Diabetology and Nephrology, Medical University of Silesia, Katowice, Poland
| | - Gregoire Fauchier
- Service de Médecine Interne, Unité d'Endocrinologie Diabétologie et Nutrition, Centre Hospitalier Universitaire et Faculté de Médecine, Université de Tours, Tours, France
| | - Pierre Henri Ducluzeau
- Service de Médecine Interne, Unité d'Endocrinologie Diabétologie et Nutrition, Centre Hospitalier Universitaire et Faculté de Médecine, Université de Tours, Tours, France
- INRA, UMR 85, Unit SENSOR, Nouzilly, France
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK.
- Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
| | - Laurent Fauchier
- Service de Cardiologie, Centre Hospitalier Universitaire et Faculté de Médecine, Université de Tours, Tours, France
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Kobayashi Y, Nishi T, Christle JW, Cauwenberghs N, Kuznetsova T, Palaniappan L, Haddad F. Epicardial fat and Stage B heart failure among overweight/obese and normal weight individuals with diabetes mellitus. Int J Cardiovasc Imaging 2023; 39:2451-2461. [PMID: 37695438 PMCID: PMC11088949 DOI: 10.1007/s10554-023-02944-5] [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: 06/08/2023] [Accepted: 08/25/2023] [Indexed: 09/12/2023]
Abstract
PURPOSE Although up to 20% of people with type 2 diabetes (DM) have normal BMI (< 25 kg/m2), it remains unclear whether there is a difference in the development of cardiac dysfunction between those with normal and higher BMI. Furthermore, little is known about the relationship of visceral fat with BMI or fitness in asymptomatic patients with DM. METHODS We prospectively enrolled asymptomatic patients with DM and divided into two groups: BMI ≥ 25kg/m2 (overweight/obese group) versus < 25kg/m2(normal-weight group). Resting echocardiogram followed by exercise stress echocardiogram and exercise gas exchange analysis (in a subgroup) was performed. Cardiac function was evaluated using left ventricular longitudinal strain (LVLS), E/e', and relative wall thickness (RWT). In addition, epicardial fat thickness (EFT) was measured to estimate visceral fat. RESULTS Normal-weight patients with DM had more EFT compared with overweight/obese patients (0.66 ± 0.17 cm vs. 0.59 ± 0.22 cm, p < 0.05), despite the overlap between the groups. There was no significant difference in the prevalence of LV remodeling (p = 0.49), impaired LVLS (p = 0.22), or increased E/e' (p = 0.26), and these were consistently observed when matched for race. The majority of patients (63%) achieved ≥ 85% of percent peak-predicted VO2. At peak, there was no significant difference in peak VO2 normalized by eLBM (36.4 ± 7.7 vs. 37.8 ± 7.1 ml/kg eLBM/min, p = 0.43) while VO2 normalized by weight (23.6 ± 6.5 vs. 29.6 ± 6.7 ml/kg/min, p < 0.001) and VO2 ratio (5.7 ± 1.7 vs. 7.3 ± 2.4 METs, p = 0.001) were significantly lower in patients with obese/overweight group. There was no significant difference between patients with higher and lower EFT. CONCLUSIONS Patients with DM and normal BMI have excess epicardial fat compared to those with overweight/obese. Epicardial fat was not directly linked to prevalence of subclinical dysfunction.
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Affiliation(s)
- Yukari Kobayashi
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Cardiovascular Institute, Stanford, CA, USA.
- Instructor of Medicine, Stanford Cardiovascular Institute, 300 Pasteur Dr H2170, Stanford, CA, 94305, USA.
| | - Tomoko Nishi
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford, CA, USA
| | - Jeffery W Christle
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Sports Cardiology, Stanford University, Stanford, CA, USA
| | - Nicholas Cauwenberghs
- Research Unit Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Sciences, Leuven, Belgium
| | - Tatiana Kuznetsova
- Research Unit Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Sciences, Leuven, Belgium
| | - Latha Palaniappan
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford, CA, USA
| | - Francois Haddad
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford, CA, USA
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20
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Zhong P, Tan S, Zhu Z, Zhu Z, Liang Y, Huang W, Wang W. Normal-weight central obesity and risk of cardiovascular and microvascular events in adults with prediabetes or diabetes: Chinese and British cohorts. Diabetes Metab Res Rev 2023; 39:e3707. [PMID: 37525502 DOI: 10.1002/dmrr.3707] [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: 03/30/2023] [Revised: 06/16/2023] [Accepted: 07/14/2023] [Indexed: 08/02/2023]
Abstract
OBJECTIVE To investigate the relationship between body fat distribution and risk of cardiometabolic and microvascular events among individuals with prediabetes or diabetes with normal body mass index (BMI). METHODS A total of 17,232 participants with prediabetes or diabetes from UK Biobank (UKB) with 12-year follow-up and 499 diabetic participants from China with 2-year follow-up with normal BMI were included. Anthropometric measurements of waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR), and body fat composition assessment of trunk-to-leg fat ratio (TLFR) were obtained. Outcomes included incident all-cause and cardiovascular mortality and macrovascular and microvascular diseases. RESULTS In British cohort, participants with central obesity defined by WHR had 27%-54% higher risk of incident all-cause mortality (hazard ratio (HR) 1.42, 95% confidence interval (CI): 1.23-1.64), cardiovascular mortality (HR 1.54 [1.15-2.07]), myocardial infarction (HR = 1.43 [1.15, 1.78]), stroke (HR 1.26 [0.90, 1.75]), heart failure (HR = 1.27 [1.00, 1.61]), diabetic nephropathy (HR 1.33 [1.07, 1.65]), and diabetic retinopathy (DR) (HR = 1.48 [1.12, 1.96]) than those without obesity. Central obesity defined by WC and WHtR was associated with 40%-44% and 23%-98% higher risks of developing diabetic events, respectively. In the Chinese cohort, individuals with abdominal obesity, defined by WC (HR 1.44) or WHtR (HR 1.43) but not by WHR, carried more than 40% higher risk of developing DR than those without it. Higher TLFR carried 1.30-2.85 times higher risk of CVD and microvascular diseases among the dysglycemic population. CONCLUSIONS Body fat distribution diseases among individuals with prediabetes or diabetes are associated with an increased risk of cardiometabolic and microvascular diseases independent of BMI.
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Affiliation(s)
- Pingting Zhong
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Shaoying Tan
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong, China
- Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Hong Kong, China
- Centre for Eye and Vision Research (CEVR), Hong Kong, China
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
| | - Ziyu Zhu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yi Liang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Wenyong Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
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Li Y, Hu Z, Guo Y, Zhao Z, Li K, Wang X, Zhang J, Liang D, Zhang J, Hu X, Zhu J, Huang F. Do disease-modifying antirheumatic drugs and non-steroidal anti-inflammatory drugs increase the burden on ankylosing spondylitis patients with mild-moderate COVID-19? evidence from a retrospective cohort study. Front Pharmacol 2023; 14:1266915. [PMID: 37964869 PMCID: PMC10642246 DOI: 10.3389/fphar.2023.1266915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 10/10/2023] [Indexed: 11/16/2023] Open
Abstract
Objectives: The impact of non-steroidal anti-inflammatory drugs (NSAIDs), conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) and tumor necrosis factor inhibitors (TNFi) on the outcomes of mild-moderate COVID-19 in patients with ankylosing spondylitis (AS) remains unclear. This study aimed to evaluate the effects of NSAIDs, csDMARDs, and TNFi on AS patients with mild-moderate COVID-19. Methods: This cohort study utilized patient-reported PCR/antigen tests to determine the occurrence of COVID-19 and assessed clinical manifestations to determine its severity. The study focused on two primary outcomes: an increased number of COVID-19 symptoms and a prolonged disease course (longer than 10 or 28 days). Modified Poisson regression was performed to analyze the association between exposures and outcomes. Results: A total of 521 patients were included in the analysis. The median age was 34.8 (inter-quartile range: 27.2-46.7), with 420 (80.6%) being men. Among the patients, 52 (10.0%) had comorbidities and 443 (85%) had been vaccinated. After adjusting for confounding factors, there was no significant association between csDMARDs or TNFi and the presence of more than 5 symptoms in mild-moderate COVID-19 (adjusted relative risk (RRa) 1.08, 95% CI: 0.84-1.40 or 1.09, 0.92-1.29 for csDMARDs or TNFi, respectively), whereas the prevalence of experiencing more than 5 symptoms increased in patients with NSAID monotherapy (RRa 1.22, 95% CI: 1.01-1.46). Similarly, there was no significant association with having more than 10 symptoms (RRa 0.65, 95% CI: 0.26-1.64; 0.95, 0.36-2.54; and 1.01, 0.53-1.91 for NSAIDs, csDMARDs, and TNFi, respectively). Patients who had pre-existing use of NSAIDs, csDMARDs and TNFi had similar odds of experiencing a disease course longer than 10 days (RRa 1.17, 95% CI: 0.82-1.66; 1.18, 0.78-1.77; and 1.22, 0.92-1.63 for NSAIDs, csDMARDs, and TNFi, respectively) and longer than 28 days (RRa 0.94, 95% CI: 0.31-2.81; 0.97, 0.25-3.74 and 1.05, 0.44-2.49, respectively) compared to those not using medication. Conclusion: AS patients treated with csDMARDs or TNFi did not show inferior outcomes in terms of symptom burden or recovery compared to those not using medication in mild-moderate COVID-19. The observed inverse association between pre-existing NSAIDs use and COVID-19 symptom burden in AS deserves further investigation.
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Affiliation(s)
- Yan Li
- Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Zhengyuan Hu
- Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yufei Guo
- Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Zheng Zhao
- Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Kunpeng Li
- Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xiuru Wang
- Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Jie Zhang
- Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Dongfeng Liang
- Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Jianglin Zhang
- Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xiaoyue Hu
- School of Social Development and Public Policy, Fudan University, Shanghai, China
| | - Jian Zhu
- Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Feng Huang
- Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
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22
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Kobayashi Y, Long J, Dan S, Johannsen NM, Talamoa R, Raghuram S, Chung S, Kent K, Basina M, Lamendola C, Haddad F, Leonard MB, Church TS, Palaniappan L. Strength training is more effective than aerobic exercise for improving glycaemic control and body composition in people with normal-weight type 2 diabetes: a randomised controlled trial. Diabetologia 2023; 66:1897-1907. [PMID: 37493759 PMCID: PMC10527535 DOI: 10.1007/s00125-023-05958-9] [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: 12/14/2022] [Accepted: 04/27/2023] [Indexed: 07/27/2023]
Abstract
AIMS/HYPOTHESIS Type 2 diabetes in people in the healthy weight BMI category (<25 kg/m2), herein defined as 'normal-weight type 2 diabetes', is associated with sarcopenia (low muscle mass). Given this unique body composition, the optimal exercise regimen for this population is unknown. METHODS We conducted a parallel-group RCT in individuals with type 2 diabetes (age 18-80 years, HbA1c 47.5-118.56 mmol/mol [6.5-13.0%]) and BMI <25 kg/m2). Participants were recruited in outpatient clinics or through advertisements and randomly assigned to a 9 month exercise programme of strength training alone (ST), aerobic training alone (AER) or both interventions combined (COMB). We used stratified block randomisation with a randomly selected block size. Researchers and caregivers were blinded to participants' treatment group; however, participants themselves were not. Exercise interventions were conducted at community-based fitness centres. The primary outcome was absolute change in HbA1c level within and across the three groups at 3, 6 and 9 months. Secondary outcomes included changes in body composition at 9 months. Per adherence to recommended exercise protocol (PP) analysis included participants who completed at least 50% of the sessions. RESULTS Among 186 individuals (ST, n=63; AER, n=58; COMB, n=65) analysed, the median (IQR) age was 59 (53-66) years, 60% were men and 83% were Asian. The mean (SD) HbA1c level at baseline was 59.6 (13.1) mmol/mol (7.6% [1.2%]). In intention-to-treat analysis, the ST group showed a significant decrease in HbA1c levels (mean [95% CI] -0.44 percentage points [-0.78, -0.12], p=0.002), while no significant change was observed in either the COMB group (-0.35 percentage points, p=0.13) or the AER group (-0.24 percentage points, p=0.10). The ST group had a greater improvement in HbA1c levels than the AER group (p=0.01). Appendicular lean mass relative to fat mass increased only in the ST group (p=0.0008), which was an independent predictor of HbA1c change (beta coefficient -7.16, p=0.01). Similar results were observed in PP analysis. Only one adverse event, in the COMB group, was considered to be possibly associated with the exercise intervention. CONCLUSIONS/INTERPRETATION In normal-weight type 2 diabetes, strength training was superior to aerobic training alone, while no significant difference was observed between strength training and combination training for HbA1c reduction. Increased lean mass relative to decreased fat mass was an independent predictor of reduction in HbA1c level. TRIAL REGISTRATION ClinicalTrials.gov NCT02448498. FUNDING This study was funded by the National Institutes of Health (NIH; R01DK081371).
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Affiliation(s)
- Yukari Kobayashi
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Cardiovascular Institute, Stanford, CA, USA.
| | - Jin Long
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Shozen Dan
- Center for Asian Health Research and Education, Stanford University School of Medicine, Stanford, CA, USA
| | - Neil M Johannsen
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
- Louisiana State University, Baton Rouge, LA, USA
| | - Ruth Talamoa
- Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Sonia Raghuram
- Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Sukyung Chung
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Kyla Kent
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Marina Basina
- Division of Endocrinology, Gerontology, and Metabolism, Stanford University School of Medicine, Stanford, CA, USA
| | - Cynthia Lamendola
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Francois Haddad
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford, CA, USA
| | - Mary B Leonard
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Timothy S Church
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
- Louisiana State University, Baton Rouge, LA, USA
- Wondr Health, Dallas, TX, USA
| | - Latha Palaniappan
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
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23
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Yu HJ, Ho M, Chau PH, Fong DYT. Trajectories of fasting glucose and glycated haemoglobin in obese and non-obese incident diabetes: Results from two large cohort studies. Diabetes Obes Metab 2023; 25:2835-2845. [PMID: 37336785 DOI: 10.1111/dom.15173] [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: 04/04/2023] [Revised: 05/22/2023] [Accepted: 05/30/2023] [Indexed: 06/21/2023]
Abstract
AIMS Diabetes development mechanisms vary by weight status. We aimed to compare cardiometabolic risk and characterize fasting plasma glucose (FPG) and glycated haemoglobin (HbA1c) trajectories before diagnosing type 2 diabetes in individuals with/without obesity. METHODS Data from the China Health and Retirement Longitudinal Study (CHARLS) and English Longitudinal Study of Ageing (ELSA) were analysed. Participants without diabetes and with a body mass index of 18.5-40 kg/m2 at baseline were included. Incident diabetes was ascertained by self-reported physician diagnosis and/or antidiabetic drug use, FPG ≥126 mg/dl and/or HbA1c ≥6.5%. The difference in the FPG/HbA1c trajectory before the diabetes diagnosis in participants with/without obesity was examined using mixed-effects models. RESULTS Among 11 925 eligible participants, 1361 incident diabetes cases (mean age: 61.4 years; male: 46.2%) were identified within 15 years of follow-up. Obese diabetes showed higher levels of diastolic blood pressure and C-reactive protein at diagnosis than non-obese diabetes. Mixed-effects models indicated the difference in the FPG trajectory before diagnosis by weight status was non-significant with a slope difference of 0.149 mg/dl (SE = 0.642, p = .816, CHARLS) and 0.013 mg/dl (SE = 0.013, p = .337, ELSA). However, obese diabetes showed a steep increase in HbA1c before diagnosis with a slope difference of 0.036% (SE = 0.016, p = .021) in the CHARLS and 0.032% (SE = 0.014, p = .027) in the ELSA, respectively. Sex-stratified analyses showed that the difference in HbA1c trajectory before the diabetes diagnosis by weight status was only significant in males. CONCLUSIONS Obese and non-obese diabetes developments may share a similar FPG but distinct HbA1c trajectory. Obese diabetes interventions require more attention to cardiometabolic risks. Moreover, studies addressing weight/sex-related differences in diabetes aetiologies and treatments are warranted.
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Affiliation(s)
- Hong-Jie Yu
- School of Nursing, the University of Hong Kong, Hong Kong, SAR, China
| | - Mandy Ho
- School of Nursing, the University of Hong Kong, Hong Kong, SAR, China
| | - Pui Hing Chau
- School of Nursing, the University of Hong Kong, Hong Kong, SAR, China
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Sprockel Díaz JJ, Coral Zuñiga VE, Angarita Gonzalez E, Tabares Rodríguez SC, Carrillo Ayerbe MP, Acuña Cortes IS, Montoya Rumpf RP, Martínez Arias LO, Parra JE, Diaztagle Fernández JJ. Obesity and the obesity paradox in patients with severe COVID-19. Med Intensiva 2023; 47:565-574. [PMID: 37088658 PMCID: PMC10036300 DOI: 10.1016/j.medine.2023.03.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 03/01/2023] [Indexed: 03/26/2023]
Abstract
OBJECTIVE To test the presence of the obesity paradox in two cohorts of patients hospitalized for COVID-19. DESIGN Two multicenter prospective cohorts. SETTING Three fourth level institutions. PATIENTS Adults hospitalized in the general ward for confirmed COVID-19 in the three institutions and those admitted to one of the 9 critical care units of one of the institutions. INTERVENTIONS None. MAIN VARIABLES OF INTEREST Categorized weight and its relationship with admission to the ICU in hospitalized patients and death in the ICU. RESULT Of 402 hospitalized patients, 30.1% were obese. Of these, 36.1% were admitted to the ICU vs. 27.1% of non-obese patients. Of the 302 ICU patients, 46.4% were obese. Of these, mortality was 45.0% vs. 52.5% for non-obese. The requirement to transfer hospitalized patients to the ICU admission get a HR of 1.47 (95%CI 0.87-2.51, p = 0.154) in the multivariate analysis. In intensive care patients, an HR of 0.99 (95%CI: 0.92-1.07, p = 0.806) was obtained to the association of obesity with mortality. CONCLUSIONS The present study does not demonstrate an association between obesity and risk of inpatient transfer to intensive care or death of intensive care patients due to COVID-19 therefore, the presence of an obesity paradox is not confirmed.
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Affiliation(s)
- John Jaime Sprockel Díaz
- Internal Medicine Department, Hospital San Jose (San Jose Hospital), Bogota, Colombia; Fundacion Universitaria De Ciencias De La Salud (University Foundation of Health Sciences), Bogota, Colombia; Intensive Care Unit of El Tunal Hospital - Comprehensive Health Services Southern Sub-network (Unidad de Cuidados Intensivos del Hospital El Tunal - Subred Integrada de Servicios de Salud del Sur), Bogota, Colombia.
| | | | - Eliana Angarita Gonzalez
- Fundacion Universitaria De Ciencias De La Salud (University Foundation of Health Sciences), Bogota, Colombia
| | | | - María Paula Carrillo Ayerbe
- Fundacion Universitaria De Ciencias De La Salud (University Foundation of Health Sciences), Bogota, Colombia
| | - Iván Santiago Acuña Cortes
- Fundacion Universitaria De Ciencias De La Salud (University Foundation of Health Sciences), Bogota, Colombia
| | - Ruddy Paola Montoya Rumpf
- Fundacion Universitaria De Ciencias De La Salud (University Foundation of Health Sciences), Bogota, Colombia
| | - Luis Oswaldo Martínez Arias
- Internal Medicine Department, Hospital San Jose (San Jose Hospital), Bogota, Colombia; Fundacion Universitaria De Ciencias De La Salud (University Foundation of Health Sciences), Bogota, Colombia
| | - Jhon Edisson Parra
- Intensive Care Unit of El Tunal Hospital - Comprehensive Health Services Southern Sub-network (Unidad de Cuidados Intensivos del Hospital El Tunal - Subred Integrada de Servicios de Salud del Sur), Bogota, Colombia
| | - Juan José Diaztagle Fernández
- Internal Medicine Department, Hospital San Jose (San Jose Hospital), Bogota, Colombia; Fundacion Universitaria De Ciencias De La Salud (University Foundation of Health Sciences), Bogota, Colombia; Department of Physiological Sciences, School of Medicine, National University of Colombia - Bogota, Bogota, Colombia
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Liu H, Ma Y, Shi L. Higher weight-adjusted waist index is associated with increased likelihood of kidney stones. Front Endocrinol (Lausanne) 2023; 14:1234440. [PMID: 37800142 PMCID: PMC10548222 DOI: 10.3389/fendo.2023.1234440] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 08/29/2023] [Indexed: 10/07/2023] Open
Abstract
Objectives The objective of this study was to evaluate the association between weight-adjusted waist index (WWI) and the prevalence of kidney stones among adults in the United States. Methods The cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2007-2018. A total of 31,344 participants were categorized into two groups: those with kidney stones and those without. WWI was determined by dividing waist circumference (cm) by the square root of body weight (kg). To examine the relationship between kidney stones and WWI, multivariate logistic regression models, smoothed curve fitting, and weighted generalized additive model (GAM) regression were employed. Subgroup analysis and interaction tests were conducted to explore the stability of this association across different groups. Results The final analysis comprised a total of 31,344 participants, including 2,928 individuals who had a history of kidney stones. In the fully adjusted model, an increase in WWI exhibited a positive correlation with the prevalence of kidney stones (OR=1.34, 95% CI: 1.18-1.51). When WWI was converted into quartiles (Q1-Q4), participants in the highest quartile (Q4) had a 69% greater risk of developing kidney stones compared to those in the lowest quartile (Q1) (OR=1.69, 95% CI: 1.28-2.25). This positive association was particularly notable among non-diabetic patients. Conclusion Our study demonstrates a significant positive association between weight-adjusted waist index levels and an elevated prevalence of kidney stones among US adults. Furthermore, this research highlights the potential utility of weight-adjusted waist index in the prevention of kidney stones in the overall population. This relationship is limited and further research is needed to test this hypothesis.
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Affiliation(s)
- Hangyu Liu
- Department of Plastic Surgery and Burn Center, the Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Yang Ma
- Department of Plastic Surgery, Meizhou Clinical Institute of Shantou University Medical College, Meizhou, Guangdong, China
| | - Lungang Shi
- Department of Plastic Surgery, Meizhou Clinical Institute of Shantou University Medical College, Meizhou, Guangdong, China
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Hjalmarsson A, Rawshani A, Råmunddal T, Rawshani A, Hjalmarsson C, Myredal A, Höskuldsdottir G, Hessulf F, Hirlekar G, Angerås O, Petursson P. No obesity paradox in out-of-hospital cardiac arrest: Data from the Swedish registry of cardiopulmonary resuscitation. Resusc Plus 2023; 15:100446. [PMID: 37601410 PMCID: PMC10432953 DOI: 10.1016/j.resplu.2023.100446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 07/25/2023] [Accepted: 07/28/2023] [Indexed: 08/22/2023] Open
Abstract
Background Although an "obesity paradox", which states an increased chance of survival for patients with obesity after myocardial infarction has been proposed, it is less clear whether this phenomenon even exists in patients suffering out-of-hospital cardiac arrest (OHCA) and if diabetes, which is often associated with obesity, implies an additional risk. Objective To investigate if and how obesity, with or without diabetes, affects the survival of patients with OHCA. Methods This study included 55,483 patients with OHCA reported to the Swedish Registry of Cardiopulmonary Resuscitation between 2010 and 2020. Patients were classified in five groups: obesity only (Ob), type 1 diabetes only (T1D), type 2 diabetes only (T2D), obesity and any diabetes (ObD), or belonging to the group other (OTH). Patient characteristics and outcomes were studied using descriptive statistics, logistic, and Cox proportional regression. Results Obesity only was found in 2.7% of the study cohort, while 3.2% had obesity and any type of diabetes. Ob patients were significantly younger than all other patients (p ≤ 0.001); the 30 day-survival was 9.6% in Ob, and 10.6%, 7.3%, 6.9%, and 12.7% in T1D, T2D, ObD, and OTH, respectively, with OR (95% CI) of 0.69 (0.57-0.82), 0.78 (0.56-1.05), 0.65 (0.59-0.71), and 0.55 (0.45-0.66) for Ob, T1D, T2D, and ObD, respectively (reference group OTH). No time-related trends in 30-days survival were found. Conclusion Obesity was present in 6% of the population and was associated with younger age and a 30% reduction in survival; a combination of obesity and diabetes further reduced the survival rate.
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Affiliation(s)
- Alfred Hjalmarsson
- Institute of Medicine, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Araz Rawshani
- Institute of Medicine, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- The Swedish Cardiopulmonary Resuscitation Registry, Västra Götaland County, Gothenburg, Sweden
| | - Truls Råmunddal
- Institute of Medicine, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Aidin Rawshani
- Institute of Medicine, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Clara Hjalmarsson
- Institute of Medicine, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Anna Myredal
- Institute of Medicine, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Gudrun Höskuldsdottir
- Institute of Medicine, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Fredrik Hessulf
- Institute of Medicine, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Anaesthesiology and Intensive Care Medicine, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Geir Hirlekar
- Institute of Medicine, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Oskar Angerås
- Institute of Medicine, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Petur Petursson
- Institute of Medicine, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Ahmad A, Lim LL, Morieri ML, Tam CHT, Cheng F, Chikowore T, Dudenhöffer-Pfeifer M, Fitipaldi H, Huang C, Kanbour S, Sarkar S, Koivula RW, Motala AA, Tye SC, Yu G, Zhang Y, Provenzano M, Sherifali D, de Souza R, Tobias DK, Gomez MF, Ma RCW, Mathioudakis NN. Precision Prognostics for Cardiovascular Disease in Type 2 Diabetes: A Systematic Review and Meta-analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.26.23289177. [PMID: 37162891 PMCID: PMC10168509 DOI: 10.1101/2023.04.26.23289177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Background Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with type 2 diabetes (T2D). Methods We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies. Results Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort. Conclusions Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.
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He J, Jia L, Zhang Y, Tian Y, Hao P, Li T, Xiao Y, Peng L, Feng Y, Cheng X, Deng H, Wang P, Chong W, Hai Y, Chen L, You C, Fang F. Obesity Paradox for Postoperative Mortality in Young Chinese Patients Undergoing Craniotomy for Brain Tumor Resection. J Neurosurg Anesthesiol 2023:00008506-990000000-00076. [PMID: 37550895 DOI: 10.1097/ana.0000000000000932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 06/29/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND There is little evidence regarding the association of body mass index (BMI) with postoperative mortality after craniotomy, especially in the Asian population. Our study aimed to explore the association between BMI and postoperative 30-day mortality in Chinese patients undergoing craniotomy for brain tumor resection. METHODS This large retrospective cohort study, Supplemental Digital Content 9, http://links.lww.com/JNA/A634 collected data from 7519 patients who underwent craniotomy for brain tumor resection. On the basis of the World Health Organization obesity criteria for Asians, included patients were categorized as underweight (<18.5 kg/m2), normal weight (18.5 to 22.9 kg/m2), overweight (23to 24.9 kg/m2), obese I (25 to 29.9 kg/m2), and obese II (≥30 kg/m2). We used a multivariable logistic regression model to explore the association between different BMI categories and 30-day postoperative mortality. In addition, we also conducted stratified analyses based on age and sex. RESULTS Overweight (adjusted odds ratio 0.63, 95% CI 0.40-0.99) and obese I (adjusted odds ratio 0.44, 95% CI 0.28-0.72) were associated with decreased 30-day postoperative mortality compared with normal-weight counterparts. Such associations were prominent among younger (age younger than 65 y) patients but not older patients, and there was an interaction between age and overweight versus normal weight on mortality (P for interaction=0.04). CONCLUSIONS We found that among Chinese patients undergoing craniotomy for brain tumors, there was a J-shaped association between BMI and postoperative 30-day mortality, with lowest mortality at 27 kg/m². Moreover, in young patients, overweight and obese I were both associated with decreased risk of 30-day mortality.
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Affiliation(s)
- Jialing He
- Department of Neurosurgery, West China Hospital, Sichuan University
- Department of Neurosurgery, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong
| | - Lu Jia
- Department of Neurosurgery, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China
| | | | - Yixin Tian
- Department of Neurosurgery, West China Hospital, Sichuan University
| | - Pengfei Hao
- Department of Neurosurgery, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China
| | - Tiangui Li
- Department of Neurosurgery, Longquan Hospital, Chengdu, Sichuan
| | | | | | | | - Xin Cheng
- Department of Neurosurgery, West China Hospital, Sichuan University
| | | | - Peng Wang
- Affiliated Hospital of Chengdu University
| | | | - Yang Hai
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA
| | - Lvlin Chen
- Affiliated Hospital of Chengdu University
| | - Chao You
- Department of Neurosurgery, West China Hospital, Sichuan University
| | - Fang Fang
- Department of Neurosurgery, West China Hospital, Sichuan University
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Zhong P, Tan S, Zhu Z, Bulloch G, Long E, Huang W, He M, Wang W. Metabolomic phenotyping of obesity for profiling cardiovascular and ocular diseases. J Transl Med 2023; 21:384. [PMID: 37308902 DOI: 10.1186/s12967-023-04244-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 06/02/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND We aimed to evaluate the impacts of metabolomic body mass index (metBMI) phenotypes on the risks of cardiovascular and ocular diseases outcomes. METHODS This study included cohorts in UK and Guangzhou, China. By leveraging the serum metabolome and BMI data from UK Biobank, this study developed and validated a metBMI prediction model using a ridge regression model among 89,830 participants based on 249 metabolites. Five obesity phenotypes were obtained by metBMI and actual BMI (actBMI): normal weight (NW, metBMI of 18.5-24.9 kg/m2), overweight (OW, metBMI of 25-29.9 kg/m2), obesity (OB, metBMI ≥ 30 kg/m2), overestimated (OE, metBMI-actBMI > 5 kg/m2), and underestimated (UE, metBMI-actBMI < - 5 kg/m2). Additional participants from the Guangzhou Diabetes Eye Study (GDES) were included for validating the hypothesis. Outcomes included all-cause and cardiovascular (CVD)-cause mortality, as well as incident CVD (coronary heart disease, heart failure, myocardial infarction [MI], and stroke) and age-related eye diseases (age-related macular degeneration [AMD], cataracts, glaucoma, and diabetic retinopathy [DR]). RESULTS In the UKB, although OE group had lower actBMI than NW group, the OE group had a significantly higher risk of all-cause mortality than those in NW prediction group (HR, 1.68; 95% CI 1.16-2.43). Similarly, the OE group had a 1.7-3.6-fold higher risk than their NW counterparts for cardiovascular mortality, heart failure, myocardial infarction, and coronary heart disease (all P < 0.05). In addition, risk of age-related macular denegation (HR, 1.96; 95% CI 1.02-3.77) was significantly higher in OE group. In the contrast, UE and OB groups showed similar risks of mortality and of cardiovascular and age-related eye diseases (all P > 0.05), though the UE group had significantly higher actBMI than OB group. In the GDES cohort, we further confirmed the potential of metabolic BMI (metBMI) fingerprints for risk stratification of cardiovascular diseases using a different metabolomic approach. CONCLUSIONS Gaps of metBMI and actBMI identified novel metabolic subtypes, which exhibit distinctive cardiovascular and ocular risk profiles. The groups carrying obesity-related metabolites were at higher risk of mortality and morbidity than those with normal health metabolites. Metabolomics allowed for leveraging the future of diagnosis and management of 'healthily obese' and 'unhealthily lean' individuals.
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Affiliation(s)
- Pingting Zhong
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Shaoying Tan
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong, China
- Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Hong Kong, China
- Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Hong Kong, China
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Level 7, 32 Gisborne Street, Melbourne, VIC, 3002, Australia
| | - Gabriella Bulloch
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Level 7, 32 Gisborne Street, Melbourne, VIC, 3002, Australia
| | - Erping Long
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Wenyong Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong, China.
- Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Hong Kong, China.
- Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Hong Kong, China.
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Level 7, 32 Gisborne Street, Melbourne, VIC, 3002, Australia.
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
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Zhang C, Wang W, Chang X, Zhan S, Wang S, Feng L, Song Y. Obesity and risk of hearing loss in the middle-aged and elderly: a national cohort of Chinese adults. BMC Public Health 2023; 23:1048. [PMID: 37264346 DOI: 10.1186/s12889-023-15974-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 05/24/2023] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND The relationship between obesity and hearing loss among the middle-aged and older population remained unclear. Moreover, few studies have focused on the impact of gender on this association. METHODS This cohort study extracted the data from the China Health and Retirement Longitudinal Study, a national survey of adults aged 45 years or over. Waist circumference was categorized into three groups: normal, pre-central obesity, and central obesity. We classified BMI into four categories: underweight, normal weight, overweight, and obese. The primary endpoint was the incidence of self-reported hearing loss. RESULTS Of the 14,237 participants, 1972 incidents of hearing loss were identified during a median 6.9 years of follow-up. The cumulative incidence of hearing loss was 13.9% (95% CI 13.3% -14.4%). Our study showed that central obesity was significantly associated with hearing loss (HR 0.84, 95%CI 0.75-0.94), and this relationship was more prominent in males (HR 0.76, 95%CI 0.63-0.91). Among male participants, the underweight group was at the highest risk of hearing loss (HR 1.39, 95%CI 1.08-1.79). Compared with the normal weight group, the adjusted HR for hearing loss in the obese groups was 0.69 (95%CI 0.51-0.94) among men. Among female participants, only the overweight group had a lower risk of hearing loss than the normal weight group (HR 0.83, 95%CI 0.71-0.96). CONCLUSIONS Being overweight and obese were significantly associated with a decreased risk of hearing loss, whereas being underweight was associated with an increased risk of hearing loss.
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Affiliation(s)
- Chen Zhang
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jing 5 road, Huaiyin District, Jinan, 250021, China
| | - Weiwei Wang
- National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Xicheng District, Beijing, 100088, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Xiaotian Chang
- Department of Counseling and Clinical Psychology, Teachers College, Columbia University, 525 W 120th Street, New York, NY, 10027, USA
| | - Siyan Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
- Research Center of Clinical Epidemiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China
- Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, 100191, China.
| | - Lei Feng
- National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Xicheng District, Beijing, 100088, China.
| | - Yongfeng Song
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jing 5 road, Huaiyin District, Jinan, 250021, China.
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, 324 Jing 5 road, Huaiyin District, Jinan, 250021, China.
- Shandong Institute of Endocrine and Metabolic Diseases, 324 Jing 5 road, Huaiyin District, Jinan, 250021, China.
- Central Hospital Affiliated to Shandong First Medical University, 105 Jiefang road, Lixia District, Jinan, 250013, China.
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Masters RK. Sources and severity of bias in estimates of the BMI-mortality association. POPULATION STUDIES 2023; 77:35-53. [PMID: 36756765 PMCID: PMC9992219 DOI: 10.1080/00324728.2023.2168035] [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: 06/18/2021] [Accepted: 07/13/2022] [Indexed: 02/10/2023]
Abstract
Estimates of mortality differences by body mass index (BMI) are likely biased by: (1) confounding bias from heterogeneity in body shape; (2) positive survival bias in high-BMI samples due to recent weight gain; and (3) negative survival bias in low-BMI samples due to recent weight loss. I investigate these sources of bias in the National Health and Nutrition Examination Survey (NHANES) 1988-94 and 1999-2006 linked to mortality up to 2015 (17,784 cases; 4,468 deaths). I use Cox survival models to estimate BMI differences in all-cause mortality risks among adults aged [45-85) in the United States. I test for age-based differences in BMI-mortality associations and estimate functional forms of the association using nine BMI levels. Estimates of the BMI-mortality association in NHANES data are significantly affected by all three biases, and obesity-mortality associations adjusted for bias are substantively strong at all ages. The mortality consequences of overweight and obesity have likely been underestimated, especially at older ages.
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Affiliation(s)
- Ryan K. Masters
- Department of Sociology, University of Colorado Boulder
- University of Colorado Population Center
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Cheng H, Yu X, Li YT, Jia Z, Wang JJ, Xie YJ, Hernandez J, Wang HHX, Wu HF. Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1053. [PMID: 36673809 PMCID: PMC9859146 DOI: 10.3390/ijerph20021053] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 06/17/2023]
Abstract
The metabolic score for insulin resistance (METS-IR) was recently proposed as a non-insulin-based, novel index for assessing insulin resistance (IR) in the Western population. However, evidence for the link between METS-IR and prediabetes or type 2 diabetes mellitus (T2DM) among the elderly Chinese population was still limited. We aimed to investigate the associations between METS-IR and prediabetes or T2DM based on large-scale, cross-sectional, routine physical examination data. In a total of 18,112 primary care service users, an increased METS-IR was independently associated with a higher prevalence of prediabetes (adjusted odds ratio [aOR] = 1.457, 95% confidence interval [CI]: 1.343 to 1.581, p < 0.001) and T2DM (aOR = 1.804, 95%CI: 1.720 to 1.891, p < 0.001), respectively. The aOR for prediabetes in subjects with the highest quartile of METS-IR was 3.060-fold higher than that in those with the lowest quartile of METS-IR. The aOR for T2DM in subjects with the highest quartile of METS-IR was 6.226-fold higher than that in those with the lowest quartile of METS-IR. Consistent results were obtained in subgroup analyses. Our results suggested that METS-IR was significantly associated with both prediabetes and T2DM. The monitoring of METS-IR may add value to early identification of individuals at risk for glucose metabolism disorders in primary care.
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Affiliation(s)
- Hui Cheng
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiao Yu
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yu-Ting Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Zhihui Jia
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Jia-Ji Wang
- Centre for General Practice, The Seventh Affiliated Hospital, Southern Medical University, Foshan 528244, China
- School of Public Health, Guangzhou Medical University, Guangzhou 510182, China
| | - Yao-Jie Xie
- School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Kowloon 852, Hong Kong, China
| | - Jose Hernandez
- Medicine and Health, EDU Institute of Higher Education, 1320 Kalkara, Malta
- Green Templeton College, University of Oxford, Oxford OX2 6HG, UK
| | - Harry H. X. Wang
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Hua-Feng Wu
- Shishan Community Health Centre of Nanhai, Foshan 528234, China
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Moon MK, Noh J, Rhee EJ, Park SH, Kim HC, Kim BJ, Kim HJ, Choi S, Na JO, Hyun YY, Kim BJ, Han KD, Jeong IK. Cardiovascular Outcomes according to Comorbidities and Low-Density Lipoprotein Cholesterol in Korean People with Type 2 Diabetes Mellitus. Diabetes Metab J 2023; 47:45-58. [PMID: 36727163 PMCID: PMC9925148 DOI: 10.4093/dmj.2021.0344] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 05/19/2022] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND There are no clear data to support the cardiovascular (CV) risk categories and low-density lipoprotein cholesterol (LDL-C) treatment goals in Korean people with type 2 diabetes mellitus (T2DM). We evaluated the incidence of cardiovascular disease (CVD) according to comorbidities and suggested LDL-C treatment goals in Korean people with T2DM in nationwide cohort data. METHODS Using the Korean National Health Insurance Service database, 248,002 people aged 30 to 90 years with T2DM who underwent routine health check-ups during 2009 were included. Subjects with previous CVD were excluded from the study. The primary outcome was incident CVD, defined as a composite of myocardial infarction and ischemic stroke during the follow-up period from 2009 to 2018. RESULTS The mean age of the study participants was 59.6±10.9 years, and median follow-up period was 9.3 years. CVD incidence increased in the order of DM duration of 5 years or more (12.04/1,000 person-years), hypertension (HT) (12.27/1,000 personyears), three or more CV risk factors (14.10/1,000 person-years), and chronic kidney disease (18.28/1,000 person-years). The risk of incident CVD increased linearly from an LDL-C level of ≥70 mg/dL in most patients with T2DM. In T2DM patients without HT or with a DM duration of less than 5 years, the CVD incidence increased from LDL-C level of ≥100 mg/dL. CONCLUSION For primary prevention of CVD in Korean adults with T2DM, it can be helpful to lower LDL-C targets when there are chronic kidney disease, HT, a long duration of diabetes mellitus, or three or more CV risk factors.
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Affiliation(s)
- Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Junghyun Noh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Eun-Jung Rhee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sang Hyun Park
- Department of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyeon Chang Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Byung Jin Kim
- Division of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hae Jin Kim
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea
| | - Seonghoon Choi
- Division of Cardiology, Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, Seoul, Korea
| | - Jin Oh Na
- Cardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea
| | - Young Youl Hyun
- Division of Nephrology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Bum Joon Kim
- Department of Neurology, Stroke Center, Asan Medical Center, Seoul, Korea
| | - Kyung-Do Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - In-Kyung Jeong
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, Korea
- Corresponding author: In-Kyung Jeong https://orcid.org/0000-0001-7857-546X Division of Endocrinology and Metabolism, Department of Internal Medicine, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, 892 Dongnam-ro, Gangdong-gu, Seoul 05278, Korea
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Geng T, Zhu K, Lu Q, Wan Z, Chen X, Liu L, Pan A, Liu G. Healthy lifestyle behaviors, mediating biomarkers, and risk of microvascular complications among individuals with type 2 diabetes: A cohort study. PLoS Med 2023; 20:e1004135. [PMID: 36626356 PMCID: PMC9831321 DOI: 10.1371/journal.pmed.1004135] [Citation(s) in RCA: 39] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 10/26/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND The influence of overall lifestyle behaviors on diabetic microvascular complications remains unknown. In addition, the potential mediating biomarkers underlying the association is unclear. This study aimed to examine the associations of the combined lifestyle factors with risks of total and individual microvascular complications among patients with type 2 diabetes (T2D) and to explore the potential mediation effects of metabolic biomarkers. METHODS AND FINDINGS This retrospective cohort study included 15,104 patients with T2D free of macro- and microvascular complications at baseline (2006 to 2010) from the UK Biobank. Healthy lifestyle behaviors included noncurrent smoking, recommended waist circumference, regular physical activity, healthy diet, and moderate alcohol drinking. Outcomes were ascertained using electronic health records. Over a median of 8.1 years of follow-up, 1,296 cases of the composite microvascular complications occurred, including 558 diabetic retinopathy, 625 diabetic kidney disease, and 315 diabetic neuropathy, with some patients having 2 or 3 microvascular complications simultaneously. After multivariable adjustment for sociodemographic characteristics, history of hypertension, glycemic control, and medication histories, the hazard ratios (95% confidence intervals (CIs)) for the participants adhering 4 to 5 low-risk lifestyle behaviors versus 0 to 1 were 0.65 (0.46, 0.91) for diabetic retinopathy, 0.43 (0.30, 0.61) for diabetic kidney disease, 0.46 (0.29, 0.74) for diabetic neuropathy, and 0.54 (0.43, 0.68) for the composite outcome (all Ps-trend ≤0.01). Further, the population-attributable fraction (95% CIs) of diabetic microvascular complications for poor adherence to the overall healthy lifestyle (<4 low-risk factors) ranged from 25.3% (10.0%, 39.4%) to 39.0% (17.7%, 56.8%). In addition, albumin, HDL-C, triglycerides, apolipoprotein A, C-reactive protein, and HbA1c collectively explained 23.20% (12.70%, 38.50%) of the associations between overall lifestyle behaviors and total diabetic microvascular complications. The key limitation of the current analysis was the potential underreporting of microvascular complications because the cases were identified via electronic health records. CONCLUSIONS Adherence to overall healthy lifestyle behaviors was associated with a significantly lower risk of microvascular complications in patients with T2D, and the favorable associations were partially mediated through improving biomarkers of glycemic control, systemic inflammation, liver function, and lipid profile.
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Affiliation(s)
- Tingting Geng
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kai Zhu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhenzhen Wan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xue Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liegang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- * E-mail: (AP); (GL)
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- * E-mail: (AP); (GL)
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Parini S, Azzolina D, Massera F, Mastromarino MG, Papalia E, Baietto G, Curcio C, Crisci R, Rena O, Alloisio M, Amore D, Ampollini L, Ardò N, Argnani D, Baisi A, Bandiera A, Benato C, Benvenuti MR, Bertani A, Bortolotti L, Bottoni E, Breda C, Camplese P, Carbognani P, Cardillo G, Carleo F, Cavallesco G, Cherchi R, De Palma A, Dell'Amore A, Della Beffa V, Divisi D, Dolci G, Droghetti A, Ferrari P, Fontana D, Gasparri R, Gavezzoli D, Ghisalberti M, Giovanardi M, Gonfiotti A, Guerrera F, Imperatori A, Infante M, Lausi P, Lo Giudice F, Londero F, Lopez C, Mancuso M, Maniscalco P, Margaritora S, Marulli G, Mazza F, Meacci E, Melloni G, Morelli A, Mucilli F, Natali P, Negri G, Nicotra S, Nosotti M, Paladini P, Pariscenti G, Perkmann R, Pernazza F, Pirondini E, Puma F, Raveglia F, Refai M, Rinaldo A, Risso C, Rizzardi G, Rotolo N, Scarci M, Solli P, Sollitto F, Spaggiari L, Stefani A, Stella F, Surrente C, Tancredi G, Terzi A, Torre M, Tosi D, Vinci D, Viti A, Voltolini L, Zaraca F. The Overweight Paradox: Impact of Body Mass Index on Patients Undergoing VATS Lobectomy or Segmentectomy. Semin Thorac Cardiovasc Surg 2023; 35:164-176. [PMID: 35182733 DOI: 10.1053/j.semtcvs.2022.02.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 02/02/2022] [Indexed: 11/12/2022]
Abstract
The aim of this study was to assess the impact of BMI on perioperative outcomes in patients undergoing VATS lobectomy or segmentectomy. Data from 5088 patients undergoing VATS lobectomy or segmentectomy, included in the VATS Group Italian Registry, were collected. BMI (kg/m2) was categorized according to the WHO classes: underweight, normal, overweight, obese. The effects of BMI on outcomes (complications, 30-days mortality, DFS and OS) were evaluated with a linear regression model, and with a logistic regression model for binary endpoints. In overweight and obese patients, operative time increased with BMI value. Operating room time increased by 5.54 minutes (S.E. = 1.57) in overweight patients, and 33.12 minutes (S.E. = 10.26) in obese patients (P < 0.001). Compared to the other BMI classes, overweight patients were at the lowest risk of pulmonary, acute cardiac, surgical, major, and overall postoperative complications. In the overweight range, a BMI increase from 25 to 29.9 did not significantly affect the length of stay, nor the risk of any complications, except for renal complications (OR: 1.55; 95% CI: 1.07-2.24; P = 0.03), and it reduced the risk of prolonged air leak (OR: 0.8; 95% CI: 0.71-0.90; P < 0.001). 30-days mortality is higher in the underweight group compared to the others. We did not find any significant difference in DFS and OS. According to our results, obesity increases operating room time for VATS major lung resection. Overweight patients are at the lowest risk of pulmonary, acute cardiac, surgical, major, and overall postoperative complications following VATS resections. The risk of most postoperative complications progressively increases as the BMI deviates from the point at the lowest risk, towards both extremes of BMI values. Thirty days mortality is higher in the underweight group, with no differences in DFS and OS.
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Affiliation(s)
- Sara Parini
- Division of Thoracic Surgery, Ospedale Maggiore della Carità, Novara, Italy; Università degli Studi di Torino, Turin, Italy
| | - Danila Azzolina
- Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Fabio Massera
- Division of Thoracic Surgery, Ospedale Maggiore della Carità, Novara, Italy
| | | | - Esther Papalia
- Division of Thoracic Surgery, Ospedale Maggiore della Carità, Novara, Italy
| | - Guido Baietto
- Division of Thoracic Surgery, Ospedale Maggiore della Carità, Novara, Italy
| | - Carlo Curcio
- Division of Thoracic Surgery, Ospedale Monaldi, Naples, Italy
| | - Roberto Crisci
- Division of Thoracic Surgery, Ospedale G. Mazzini, Teramo, Italy
| | - Ottavio Rena
- Division of Thoracic Surgery, Ospedale Maggiore della Carità, Novara, Italy; Department of Health Sciences, Università del Piemonte Orientale, Novara, Italy.
| | | | | | - Dario Amore
- Division of Thoracic Surgery, Ospedale Monaldi, Naples, Italy
| | - Luca Ampollini
- Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Nicoletta Ardò
- Azienda Ospedaliero-Universitaria "Ospedali Riuniti", Foggia, Italy
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Duilio Divisi
- Division of Thoracic Surgery, Ospedale G. Mazzini, Teramo, Italy
| | | | | | | | | | | | | | | | | | | | - Francesco Guerrera
- AOU Città della Salute e della Scienza di Torino, Ospedale Molinette, Torino, Italy
| | | | | | - Paolo Lausi
- AOU Città della Salute e della Scienza di Torino, Ospedale Molinette, Torino, Italy
| | | | | | | | - Maurizio Mancuso
- Azienda Ospedaliera Santi Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
| | - Pio Maniscalco
- Azienda Ospedaliero-Universitaria di Ferrara, Ferrara, Italy
| | | | | | | | - Elisa Meacci
- Policlinico Universitario Agostino Gemelli, Roma, Italy
| | | | | | | | - Pamela Natali
- Azienda Ospedaliero-Universitaria di Modena, Modena, Italy
| | | | | | - Mario Nosotti
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | | | | | | | - Fausto Pernazza
- Azienda Ospedaliera Santi Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
| | | | - Francesco Puma
- Azienda Ospedaliera Santa Maria della Misericordia, Perugia, Italy
| | | | - Majed Refai
- Azienda Ospedaliero-Universitaria Ospedali Riuniti di Ancona, Ancona, Italy
| | | | - Carlo Risso
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | | | - Nicola Rotolo
- Ospedale di Circolo e Fondazione Macchi, Varese, Italy
| | | | | | | | | | | | | | | | | | - Alberto Terzi
- IRCCS Ospedale Sacro Cuore Don Calabria, Negrar, Verona, Italy
| | - Massimo Torre
- ASST Grande Ospedale Metropolitano Niguarda, Milano, Italy
| | - Davide Tosi
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Damiano Vinci
- Azienda Ospedaliera Santa Maria della Misericordia, Perugia, Italy
| | - Andrea Viti
- IRCCS Ospedale Sacro Cuore Don Calabria, Negrar, Verona, Italy
| | - Luca Voltolini
- AOUC Azienda Ospedaliero-Universitaria Careggi, Firenze, Italy
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Yoo MC, Won CW, Soh Y. Association of high body mass index, waist circumference, and body fat percentage with sarcopenia in older women. BMC Geriatr 2022; 22:937. [PMID: 36471279 PMCID: PMC9724283 DOI: 10.1186/s12877-022-03643-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/22/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Age-related obesity and body composition changes include loss of muscle mass and increased body fat. This study aimed to investigate sex differences in the impact of sarcopenia, defined by the Asian Working Group for Sarcopenia (AWGS), on obesity in Korean older adults. METHODS In this 2-year longitudinal study, 3014 participants were excluded based on AWGS sarcopenia parameters (if any one of the sarcopenic parameter criteria was satisfied), including low handgrip strength (HGS), low appendicular skeletal muscle mass index (ASMI), and low short physical performance battery (SPPB). A total of 926 non-sarcopenic participants were recruited for the study. The obese and non-obese groups were compared according to the sarcopenia parameters. The following variables were selected for obesity analysis: body mass index (BMI), waist circumference (WC), and body fat percentage. Unadjusted and fully adjusted logistic regression analyses were performed for each variable to predict sarcopenia and sarcopenic obesity according to sex. RESULTS Among the sarcopenia parameters, reduction in ASMI was significantly lower in the obese group with high WC and percentage of body fat (PBF) in both men and women (P < 0.01). Multivariable analysis revealed that different obesity parameters were associated with AWGS criteria: women in the high BMI group presented significantly lower ASMI and sarcopenia (ASMI, OR = 0.289, 95% CI = 0.174-0.480; sarcopenia, OR = 0.152, 95% CI = 0.048-0.483). Women in the high WC group had significantly lower ASMI and sarcopenia (ASMI, OR = 0.307, 95% CI = 0.189-0.500; sarcopenia, OR = 0.262, 95% CI = 0.106-0.649). Women in the high PBF group had a lower incidence of sarcopenia (OR = 0.214, 95% CI = 0.068-0.278). CONCLUSIONS Our study identified that high BMI had a protective effect on the reduction of muscle mass in men and women. However, obesity parameters including BMI, WC, and PBF were positively correlated with a lower incidence of sarcopenia only in women. Obesity in older women may have a protective effect in reducing ASMI and the incidence of sarcopenia.
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Affiliation(s)
- Myung Chul Yoo
- grid.411231.40000 0001 0357 1464Department of Physical Medicine and Rehabilitation, Kyung Hee University Medical Center, 23 Kyungheedae-ro, Dongdaemoon-gu, Seoul, 02447 Republic of Korea ,grid.289247.20000 0001 2171 7818Department of Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea
| | - Chang Won Won
- grid.411231.40000 0001 0357 1464Department of Family Medicine, Kyung Hee University Medical Center, 23 Kyungheedae-ro, Dongdaemoon-gu, Seoul, 02447 South Korea
| | - Yunsoo Soh
- grid.411231.40000 0001 0357 1464Department of Physical Medicine and Rehabilitation, Kyung Hee University Medical Center, 23 Kyungheedae-ro, Dongdaemoon-gu, Seoul, 02447 Republic of Korea
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Orsi E, Solini A, Penno G, Bonora E, Fondelli C, Trevisan R, Vedovato M, Cavalot F, Lamacchia O, Haxhi J, Nicolucci A, Pugliese G. Body mass index versus surrogate measures of central adiposity as independent predictors of mortality in type 2 diabetes. Cardiovasc Diabetol 2022; 21:266. [PMID: 36461034 PMCID: PMC9716975 DOI: 10.1186/s12933-022-01706-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 11/22/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND An "obesity paradox" for mortality has been shown in chronic disorders such as diabetes, and attributed to methodological bias, including the use of body mass index (BMI) for obesity definition. This analysis investigated the independent association of BMI versus surrogate measures of central adiposity with all-cause mortality in individuals with type 2 diabetes. METHODS The Renal Insufficiency And Cardiovascular Events Italian Multicentre Study is a prospective cohort study that enrolled 15,773 patients in 19 Italian centres in 2006-2008. Exposures were BMI and the surrogate measures of central adiposity waist circumference (WC), waist-to-height ratio (WHtR), and A Body Shape Index (ABSI). Vital status was retrieved on 31 October 2015 for 15,656 patients (99.3%), RESULTS: Age- and sex-adjusted hazard ratios and 95% confidence intervals were significantly higher in BMI-based underweight (1.729 [1.193-2.505), P = 0.004), moderately obese (1.214 [1.058-1.392), P = 0.006) and severely obese (1.703 [1.402-2.068), P < 0.0001), lower in overweight (0.842 [0.775-0.915), P < 0.0001) and similar in mildly obese (0.950 [0.864-1.045), P = 0.292), compared to normal-weight individuals. When further adjusting for smoking, physical activity (PA), and comorbidities, risk was lower also in mildly obese versus normal-weight patients. The BMI-mortality relationship did not change after sequentially excluding ever smokers, individuals with comorbidities, and those died within two years from enrollment and when analyzing separately participants below and above the median age. Conversely, a paradox relationship was observed among inactive/moderately inactive, but not moderately/highly active patients. Mortality risk adjusted for age, gender, smoking, PA and comorbidities was significantly higher in the highest tertile of WC (1.279 [1.089-1.501], P = 0.003), WHtR (1.372 [1.165-1.615], P < 0.0001), and ABSI (1.263 [1.067-1.495], P = 0.007) versus the lowest tertile. However, risk was lower in the intermediate versus lowest tertile for WC (0.823 [0.693-0.979], P = 0.028), similar for WHtR, and higher, though not significantly, for ABSI. CONCLUSIONS An "overweight paradox" remained after controlling for age, smoking, and comorbidities, arguing against a collider bias or reverse causation. However, it could be partly explained by confounding from PA level, possibly through its impact on lean mass and cardiorespiratory fitness. No obesity paradox was observed with WHtR and especially ABSI, which predicted mortality risk associated with central adiposity better than WC. Trial registration ClinicalTrials.gov, NCT00715481, 15 July, 2008.
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Affiliation(s)
- Emanuela Orsi
- grid.414818.00000 0004 1757 8749Diabetes Unit, Foundation IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Anna Solini
- grid.5395.a0000 0004 1757 3729Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Pisa, Italy
| | - Giuseppe Penno
- grid.5395.a0000 0004 1757 3729Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Enzo Bonora
- grid.411475.20000 0004 1756 948XDivision of Endocrinology, Diabetes and Metabolism, University and Hospital Trust of Verona, Verona, Italy
| | - Cecilia Fondelli
- grid.9024.f0000 0004 1757 4641Diabetes Unit, University of Siena, Siena, Italy
| | - Roberto Trevisan
- grid.460094.f0000 0004 1757 8431Endocrinology and Diabetes Unit, Azienda Ospedaliera Papa Giovanni XXIII, Bergamo, Italy
| | - Monica Vedovato
- grid.5608.b0000 0004 1757 3470Department of Clinical and Experimental Medicine, University of Padua, Padua, Italy
| | - Franco Cavalot
- grid.7605.40000 0001 2336 6580Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy
| | - Olga Lamacchia
- grid.10796.390000000121049995Department of Medical Sciences, University of Foggia, Foggia, Italy
| | - Jonida Haxhi
- grid.7841.aDepartment of Clinical and Molecular Medicine, “La Sapienza” University, Via Di Grottarossa, 1035-1039, 00189 Rome, Italy
| | - Antonio Nicolucci
- grid.512242.2Center for Outcomes Research and Clinical Epidemiology (CORESEARCH), Pescara, Italy
| | - Giuseppe Pugliese
- grid.7841.aDepartment of Clinical and Molecular Medicine, “La Sapienza” University, Via Di Grottarossa, 1035-1039, 00189 Rome, Italy
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Zhang YB, Pan XF, Lu Q, Wang YX, Geng TT, Zhou YF, Liao LM, Tu ZZ, Chen JX, Xia PF, Wang Y, Wan ZZ, Guo KQ, Yang K, Yang HD, Chen SH, Wang GD, Han X, Wang YX, Yu D, He MA, Zhang XM, Liu LG, Wu T, Wu SL, Liu G, Pan A. Associations of combined healthy lifestyles with cancer morbidity and mortality among individuals with diabetes: results from five cohort studies in the USA, the UK and China. Diabetologia 2022; 65:2044-2055. [PMID: 36102938 PMCID: PMC9633429 DOI: 10.1007/s00125-022-05754-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 05/30/2022] [Indexed: 01/11/2023]
Abstract
AIMS/HYPOTHESIS Cancer has contributed to an increasing proportion of diabetes-related deaths, while lifestyle management is the cornerstone of both diabetes care and cancer prevention. We aimed to evaluate the associations of combined healthy lifestyles with total and site-specific cancer risks among individuals with diabetes. METHODS We included 92,239 individuals with diabetes but without cancer at baseline from five population-based cohorts in the USA (National Health and Nutrition Examination Survey and National Institutes of Health [NIH]-AARP Diet and Health Study), the UK (UK Biobank study) and China (Dongfeng-Tongji cohort and Kailuan study). Healthy lifestyle scores (range 0-5) were constructed based on current nonsmoking, low-to-moderate alcohol drinking, adequate physical activity, healthy diet and optimal bodyweight. Cox regressions were used to calculate HRs for cancer morbidity and mortality, adjusting for sociodemographic, medical and diabetes-related factors. RESULTS During 376,354 person-years of follow-up from UK Biobank and the two Chinese cohorts, 3229 incident cancer cases were documented, and 6682 cancer deaths were documented during 1,089,987 person-years of follow-up in the five cohorts. The pooled multivariable-adjusted HRs (95% CIs) comparing participants with 4-5 vs 0-1 healthy lifestyle factors were 0.73 (0.61, 0.88) for incident cancer and 0.55 (0.46, 0.67) for cancer mortality, and ranged between 0.41 and 0.63 for oesophagus, lung, liver, colorectum, breast and kidney cancers. Findings remained consistent across different cohorts and subgroups. CONCLUSIONS/INTERPRETATION This international cohort study found that adherence to combined healthy lifestyles was associated with lower risks of total cancer morbidity and mortality as well as several subtypes (oesophagus, lung, liver, colorectum, breast and kidney cancers) among individuals with diabetes.
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Affiliation(s)
- Yan-Bo Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiong-Fei Pan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Centre, Vanderbilt University Medical Centre, Nashville, TN, USA
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Xiu Wang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Ting-Ting Geng
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Feng Zhou
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linda M Liao
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhou-Zheng Tu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun-Xiang Chen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng-Fei Xia
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhen-Zhen Wan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun-Quan Guo
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Kun Yang
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Han-Dong Yang
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Shuo-Hua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Guo-Dong Wang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xu Han
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Yi-Xin Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Centre, Vanderbilt University Medical Centre, Nashville, TN, USA
| | - Mei-An He
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-Min Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lie-Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shou-Ling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Moon J, Oh PC, Lee K, Jang HJ, Kim TH, Park SD, Kwon SW, Kong MG, Suh J, Kang WC. Association of height loss and cardiovascular disease: Data from a large Korean cohort. Front Cardiovasc Med 2022; 9:1026597. [PMID: 36407463 PMCID: PMC9671925 DOI: 10.3389/fcvm.2022.1026597] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 10/19/2022] [Indexed: 11/06/2022] Open
Abstract
Background Height declines with age, and its degree differs among individuals. Despite epidemiologic evidence for the inverse relationship between adult height and cardiovascular disease (CVD) incidence, the clinical significance of height loss in CVD remains to be elucidated. Therefore, this study investigated the association between height loss and CVD incidence. Methods In total, 127,573 Korean participants were enrolled; their heights were monitored from 2002 to 2011. The annual height loss (cm/year) was the difference between the first and last height measurements within the observation period divided by the number of years. The participants were classified as Group 1 (height loss: <0.3 cm/year; n = 102,554), Group 2 (height loss: 0.3– < 0.6 cm/year; n = 17,324), or Group 3 (height loss: ≥0.6 cm/year; n = 7,695). Results The cumulative major adverse cardiac and cerebral event (MACCE: cardiac death, non-fatal myocardial infarction, and unplanned hospitalization for heart failure or stroke) incidence rate was 3.6% for Group 1, 4.5% for Group 2, and 5.2% for Group 3. Group 2 (hazard ratio [HR] = 1.27, 95% confidence interval [CI] = 1.17–1.37) and Group 3 (HR = 1.46, 95% CI = 1.32–1.62) had a significantly higher incidence of MACCE than Group 1. In the model adjusted for age, sex, comorbidities, income level, body mass index, smoking, and drinking status, the MACCE risk was higher in Group 2 (HR = 1.11, 95% CI = 1.07–1.20) and Group 3 (HR = 1.25, 95% CI = 1.13–1.39) than in Group 1. Conclusion The degree of height loss was independently associated with CVD occurrences in the Korean population.
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Affiliation(s)
- Jeonggeun Moon
- Division of Cardiology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Pyung Chun Oh
- Division of Cardiology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Kyounghoon Lee
- Division of Cardiology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Ho-Jun Jang
- Department of Cardiology, Sejong General Hospital, Bucheon, South Korea
| | - Tae-Hoon Kim
- Division of Cardiology, CHA Medical Center, Ilsan Hospital, Ilsan, South Korea
| | - Sang-Don Park
- Department of Cardiology, Inha University Hospital, Incheon, South Korea
| | - Sung Woo Kwon
- Department of Cardiology, Inha University Hospital, Incheon, South Korea
| | - Min Gyu Kong
- Department of Cardiology, Soonchunhyang University Bucheon Hospital, Bucheon, South Korea
| | - Jon Suh
- Department of Cardiology, Soonchunhyang University Bucheon Hospital, Bucheon, South Korea
| | - Woong Chol Kang
- Division of Cardiology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
- *Correspondence: Woong Chol Kang,
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Gaesser GA. Type 2 Diabetes Incidence and Mortality: Associations with Physical Activity, Fitness, Weight Loss, and Weight Cycling. Rev Cardiovasc Med 2022; 23:364. [PMID: 39076198 PMCID: PMC11269068 DOI: 10.31083/j.rcm2311364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 08/21/2022] [Accepted: 09/06/2022] [Indexed: 07/31/2024] Open
Abstract
Cardiometabolic diseases, including cardiovascular disease (CVD) and type 2 diabetes (T2D), are the leading cause of death globally. Because T2D and obesity are strongly associated, weight loss is the cornerstone of treatment. However, weight loss is rarely sustained, which may lead to weight cycling, which is associated with increased mortality risk in patients with T2D. Meta-analyses show that weight loss is not generally associated with reduced mortality risk in T2D, whereas weight cycling is associated with increased all-cause and CVD mortality. This may be attributable in part to increased variability in CVD risk factors that often accompany weight cycling, which studies show is consistently associated with adverse CVD outcomes in patients with T2D. The inconsistent associations between weight loss and mortality risk in T2D, and consistent findings of elevated mortality risk associated with weight cycling, present a conundrum for a weight-loss focused T2D prevention and treatment strategy. This is further complicated by the findings that among patients with T2D, mortality risk is lowest in the body mass index (BMI) range of ~25-35 kg/ m 2 . Because this "obesity paradox" has been consistently demonstrated in 7 meta-analyses, the lower mortality risk for individuals with T2D in this BMI range may not be all that paradoxical. Physical activity (PA), cardiorespiratory fitness (CRF), and muscular fitness (MF) are all associated with reduced risk of T2D, and lower risk of CVD and all-cause mortality in individuals with T2D. Reducing sedentary behavior, independent of PA status, also is strongly associated with reduced risk of T2D. Improvements in cardiometabolic risk factors with exercise training are comparable to those observed in weight loss interventions, and are largely independent of weight loss. To minimize risks associated with weight cycling, it may be prudent to adopt a weight-neutral approach for prevention and treatment of individuals with obesity and T2D by focusing on increasing PA and improving CRF and MF without a specific weight loss goal.
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Affiliation(s)
- Glenn A. Gaesser
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA
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Polat F, Durmaz E, Yalın K, İkitimur B, Karadağ B, Öngen Z. Effects of obesity on arrhythmic events and survival in patients with an implantable cardioverter defibrillator. KARDIOLOGIIA 2022; 62:56-65. [DOI: 10.18087/cardio.2022.10.n1915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 03/28/2022] [Indexed: 11/18/2022]
Abstract
Background Studies have shown that increased body weight and obesity may be associated with an increased risk of arrhythmic events. The aim of this study was to evaluate the effect of obesity on the risk of arrhythmic events, hospitalization, and death in patients who received implantable cardioverter defibrillator (ICD) therapy for primary or secondary prevention.Material and Methods A single-center, prospective, observational study was conducted. Patients with body mass index (BMI) <30 kg / m2 were classified as non-obese, and patients with BMI ≥30 kg / m2 were classified as obese. The primary endpoints were arrhythmic events and device interventions. The secondary endpoints were all-cause mortality, cardiac mortality, cardiac rehospitalization, and a composite endpoint of mortality and hospitalization.Results Among a total of 340 patients, 78.2 % were male, and 22.1 % were obese. The mean age was 60.9 yrs. Ventricular tachycardia (VT) was more frequent in non-obese patients (HR 0.57, [CI] 0.38–0.87, p=0.009). All-cause mortality and cardiac mortality in all patients tended to be more frequent in non-obese (HR 2.71, [CI] 0.93–7.93, p= 0.069 for all-cause mortality; HR 3.29, [CI] 0.97–11.17, p=0.056 for cardiac mortality). In the subgroup analysis, VT, all-cause mortality, and cardiac mortality were more common for non-obese patients in primary prevention and ischemic heart failure (HF) groups.Conclusion While VT was more frequent in non-obese patients, VF, ICD appropriate shock, inappropriate shock, and antitachycardia pacing were similar in obese and non-obese patients. All-cause mortality and cardiac mortality were more frequent in non-obese patients.
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Affiliation(s)
| | - Eser Durmaz
- Istanbul University-Cerrahpasa Cerrahpasa Faculty of Medicine
| | - Kıvanç Yalın
- Istanbul University-Cerrahpasa Cerrahpasa Faculty of Medicine
| | - Barış İkitimur
- Istanbul University-Cerrahpasa Cerrahpasa Faculty of Medicine
| | | | - Zeki Öngen
- Istanbul University-Cerrahpasa Cerrahpasa Faculty of Medicine
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Eslam M, El-Serag HB, Francque S, Sarin SK, Wei L, Bugianesi E, George J. Metabolic (dysfunction)-associated fatty liver disease in individuals of normal weight. Nat Rev Gastroenterol Hepatol 2022; 19:638-651. [PMID: 35710982 DOI: 10.1038/s41575-022-00635-5] [Citation(s) in RCA: 78] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/13/2022] [Indexed: 12/12/2022]
Abstract
Metabolic (dysfunction)-associated fatty liver disease (MAFLD) affects up to a third of the global population; its burden has grown in parallel with rising rates of type 2 diabetes mellitus and obesity. MAFLD increases the risk of end-stage liver disease, hepatocellular carcinoma, death and liver transplantation and has extrahepatic consequences, including cardiometabolic disease and cancers. Although typically associated with obesity, there is accumulating evidence that not all people with overweight or obesity develop fatty liver disease. On the other hand, a considerable proportion of patients with MAFLD are of normal weight, indicating the importance of metabolic health in the pathogenesis of the disease regardless of body mass index. The clinical profile, natural history and pathophysiology of patients with so-called lean MAFLD are not well characterized. In this Review, we provide epidemiological data on this group of patients and consider overall metabolic health and metabolic adaptation as a framework to best explain the pathogenesis of MAFLD and its heterogeneity in individuals of normal weight and in those who are above normal weight. This framework provides a conceptual schema for interrogating the MAFLD phenotype in individuals of normal weight that can translate to novel approaches for diagnosis and patient care.
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Affiliation(s)
- Mohammed Eslam
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, New South Wales, Australia.
| | - Hashem B El-Serag
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Sven Francque
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium.,Laboratory of Experimental Medicine and Paediatrics (LEMP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Shiv K Sarin
- Department of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Lai Wei
- Hepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Elisabetta Bugianesi
- Department of Medical Sciences, Division of Gastroenterology and Hepatology, A.O. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Jacob George
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, New South Wales, Australia.
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Song DK, Hong YS, Sung YA, Lee H. Body mass index and stroke risk among patients with diabetes mellitus in Korea. PLoS One 2022; 17:e0275393. [PMID: 36178901 PMCID: PMC9524704 DOI: 10.1371/journal.pone.0275393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 09/15/2022] [Indexed: 11/19/2022] Open
Abstract
Background Obesity and diabetes mellitus (DM) are both associated with cardiovascular disease. This study aimed to evaluate the association between body mass index (BMI) and stroke risk among patients with DM in Korea since relatively few studies have analyzed this area in detail. Methods We analyzed a total of 56,051 DM patients aged >30 years from the Korean National Health Insurance Service Cohort who had undergone at least one national health examination between 2002 and 2012. BMI scores were divided into six categories, while hazard ratios for stroke were calculated using Cox proportional hazard models. Results Overall stroke risk was positively associated with BMI for both men and women. For ischemic stroke, the risk was positively associated with BMI in women. However, for me, only patients with the highest BMI were at increased risk compared with patients with a BMI of 20–22.4 kg/m2. For hemorrhagic stroke, the risk was significantly associated with BMI with a U-shaped association in men. In women, only patients with the lowest BMI had an increased risk of hemorrhagic stroke compared with patients that have a BMI of 20–22.4 kg/m2. Conclusion BMI was positively associated with the overall risk of stroke among DM patients in Korea. The risk of ischemic stroke was higher in obese patients compared to overweight or normal-weight patients. However, the risk of hemorrhagic stroke was higher in slimmer patients compared with overweight or obese patients.
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Affiliation(s)
- Do Kyeong Song
- Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea
| | - Young Sun Hong
- Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea
| | - Yeon-Ah Sung
- Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea
| | - Hyejin Lee
- Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea
- * E-mail:
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Song R, Chen X, He K, Hu X, Bai K, Shi W, Shi S. Associations of BMI with all-cause mortality in normoglycemia, impaired fasting glucose and type 2 diabetes mellitus among an elderly Chinese population: a cohort study. BMC Geriatr 2022; 22:690. [PMID: 35987565 PMCID: PMC9392914 DOI: 10.1186/s12877-022-03382-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 08/10/2022] [Indexed: 11/17/2022] Open
Abstract
Aim To explore the associations of body mass index (BMI) and mortality among people with normal fasting glucose (NFG), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM) in an elderly Chinese population. Methods A retrospective cohort study was conducted that included 59,874 elderly people who were aged 60 and older at baseline. Data for the study came from a health check-up program in China between 2011 and 2019. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using multivariable Cox proportional hazard models of BMI categories by glycemic status. Results During the median of 5.96 years of follow-up, 7928 participants died (6457/49057 with NFG, 712/5898 with IFG and 759/4919 with T2DM). In adjusted Cox models, risk of mortality showed a decreasing trend with BMI < 18.5 kg/m2, 24 ≤ BMI < 28 kg/m2, and BMI ≥ 28 kg/m2 compared to 18.5 ≤ BMI < 24 kg/m2: HR (95% CI): 1.33 (1.18 to 1.49), 0.88 (0.83 to 0.93), and 0.90 (0.82 to 0.98), respectively, for NFG; 0.89 (0.55 to 1.46), 0.84 (0.71 to 0.99), and 0.88 (0.70 to 1.11), respectively, for IFG; and 1.42 (0.88 to 2.29), 0.75 (0.64 to 0.89), and 0.76 (0.62 to 0.93), respectively, for T2DM. There were curvilinear-shaped associations between BMI and mortality in the NFG and T2DM groups (P overall < 0.001 and P overall < 0.001, respectively; P nonlinearity < 0.001 and P nonlinearity = 0.027, respectively) and no significantly association between BMI and all-cause mortality was observed in the IFG group (P overall = 0.170). Conclusion High BMI compared to normal BMI was associated with decreased mortality, especially in the old populations with NFG and T2DM. Future studies are needed to explain the obesity paradox in elderly patients with T2DM.
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Cai S, Zhou L, Zhang Y, Cheng B, Zhang A, Sun J, Li M, Su Y, Bao Q, Zhang Y, Ma S, Zhu P, Wang S. Association of the Weight-Adjusted-Waist Index With Risk of All-Cause Mortality: A 10-Year Follow-Up Study. Front Nutr 2022; 9:894686. [PMID: 35694172 PMCID: PMC9174751 DOI: 10.3389/fnut.2022.894686] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 05/06/2022] [Indexed: 01/06/2023] Open
Abstract
Background To explore the relationship between weight-adjusted-waist index (WWI) and the risk of all-cause mortality in one urban community-dwelling population in China. Methods This is a prospective cohort study with a sample of 1,863 older adults aged 60 years or over in Beijing who completed baseline examinations in 2009-2010 and a 10-year follow-up in 2020. WWI was calculated as waist circumference (cm) divided by the square root of weight (kg). Cox regression analysis was performed to investigate the significance of the association of WWI with all-cause mortality. The area under the receiver operating characteristic (ROC) curves were used to compare the ability of each obesity index to predict mortality. Results During a median follow-up of 10.8 years (1.0 to 11.3 years), 339 deaths occurred. After adjusted for covariates, the hazard ratios (HRs) for all-cause mortality progressively increased across the tertile of WWI. Compared with the lowest WWI category (tertile1 <10.68 cm/√kg), with WWI 10.68 to 11.24cm/√kg, and≥11.25 cm/√kg, the HRs (95% confidence intervals (CIs)) for all-cause mortality were 1.58 (1.12-2.22), and 2.66 (1.80-3.92), respectively. In stratified analyses, the relationship between WWI and the risk of all-cause mortality persisted. The area under ROC for WWI was higher for all-cause mortality than BMI, WHtR, and WC. Conclusion WWI was associated with a higher risk for all-cause mortality, and the association was more robust with the highest WWI category.
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Affiliation(s)
- Shuang Cai
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLAl, Beijing, China
| | - Lin Zhou
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yue Zhang
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Bokai Cheng
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLAl, Beijing, China
| | - Anhang Zhang
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLAl, Beijing, China
| | - Jin Sun
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLAl, Beijing, China
| | - Man Li
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLAl, Beijing, China
| | - Yongkang Su
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLAl, Beijing, China
| | - Qiligeer Bao
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLAl, Beijing, China
| | - Yan Zhang
- Department of Outpatient, the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Shouyuan Ma
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Ping Zhu
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLAl, Beijing, China
| | - Shuxia Wang
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLAl, Beijing, China
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Salmon MK, Gordon NF, Constantinou D, Reid KS, Wright BS, Kridl TL, Faircloth GC. Comparative Effectiveness of Lifestyle Intervention on Fasting Plasma Glucose in Normal Weight Versus Overweight and Obese Adults With Prediabetes. Am J Lifestyle Med 2022; 16:334-341. [DOI: 10.1177/15598276211019012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background. It is hypothesized that normal weight individuals develop diabetes through different pathophysiological mechanisms and that methods of prevention may differ in the absence of overweight/obesity. In this study, we compared the effect of lifestyle health coaching (LHC) on fasting plasma glucose (FPG) in normal weight, overweight, and obese US adults with prediabetes. Methods. Subjects were 1358 individuals who completed baseline and follow-up evaluations as part of an LHC program (follow-up = ~6 months). Participants were stratified, based on baseline body mass index (BMI), into normal weight (n = 129), overweight (n = 345), and obese (n = 884) cohorts. LHC included counseling, predominantly via telehealth, on exercise and nutrition. Results. BMI decreased ( P < .001) in the overweight and obese participants but was unchanged in the normal weight participants. FPG decreased ( P < .001) in all 3 cohorts, and the magnitude of decrease did not differ significantly among cohorts. FPG decreased to <5.6 mmol/L in 58.1%, 49.3%, and 41.4% of the normal weight, overweight, and obese participants, respectively. Conclusions. To our knowledge, this study is the first outside of Asia to show that LHC is as effective in managing FPG in normal weight adults with prediabetes versus those who are overweight/obese.
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Affiliation(s)
- Mandy K. Salmon
- Medical and Science Office, INTERVENT International, Savannah, Georgia
| | - Neil F. Gordon
- Medical and Science Office, INTERVENT International, Savannah, Georgia
- Centre for Exercise Science and Sports Medicine, FIMS Collaborating Center of Sports Medicine, School of Therapeutic Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Demitri Constantinou
- Centre for Exercise Science and Sports Medicine, FIMS Collaborating Center of Sports Medicine, School of Therapeutic Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Kevin S. Reid
- Medical and Science Office, INTERVENT International, Savannah, Georgia
| | - Brenda S. Wright
- Medical and Science Office, INTERVENT International, Savannah, Georgia
| | - Terri L. Kridl
- Medical and Science Office, INTERVENT International, Savannah, Georgia
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Hong JS, Kang HC. Body mass index and all-cause mortality in patients with newly diagnosed type 2 diabetes mellitus in South Korea: a retrospective cohort study. BMJ Open 2022; 12:e048784. [PMID: 35365507 PMCID: PMC8977808 DOI: 10.1136/bmjopen-2021-048784] [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] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES The lower risk of death in overweight or obese patients, compared with normal-weight individuals, has caused confusion for patients with diabetes and healthcare providers. This study investigated the relationship between body mass index (BMI) and mortality in patients with type 2 diabetes. DESIGN A retrospective cohort study. SETTING We established a national population database by merging the Korea National Health Insurance (KNHI) claims database, the National Health Check-ups Database and the KNHI Qualification Database of South Korea. PARTICIPANTS A total of 53 988 patients who were newly diagnosed with type 2 diabetes (E11 in International Classification of Diseases, 10th Edition) in 2007, had available BMI data, lacked a history of any serious comorbidity, received diabetes medication and did not die during the first 2 years were followed up for a median of 8.6 years. PRIMARY OUTCOME MEASURES All-cause mortality. RESULTS The mean BMI was 25.2 (SD 3.24) kg/m2, and the largest proportion of patients (29.4%) had a BMI of 25-27.4 kg/m2. Compared with a BMI of 27.5-29.9 kg/m2 (the reference), mortality risk continuously increased as BMI decreased while the BMI score was under 25 (BMI <18.5 kg/m2: adjusted HR (aHR) 2.71, 95% CI 2.24 to 3.27; BMI 18.5-20.9 kg/m2: aHR 1.94, 95% CI 1.70 to 2.22; BMI 21-22.9 kg/m2: aHR 1.51, 95% CI 1.34 to 1.70; and BMI 23-24.9 kg/m2: aHR 1.14, 95% CI 1.01 to 1.28). For patients aged ≥65 years, the inverse association was connected up to a BMI ≥30 kg/m2 group (aHR 0.76, 95% CI 0.59 to 0.98). However, the associations for men, patients aged <65 years and ever smokers resembled a reverse J curve, with a significantly greater risk of death in patients with a BMI ≥30 kg/m2. CONCLUSIONS This study suggests that, for patients with type 2 diabetes at a normal weight, distinct approaches are needed in terms of promoting muscle mass improvement or cardiorespiratory fitness, rather than maintaining weight status. Improved early diagnosis considering the inverse association between BMI and mortality is also needed.
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Affiliation(s)
- Jae-Seok Hong
- Division of Health Administration and Healthcare, Cheongju University College of Health and Medical Sciences, Cheongju, Republic of Korea
| | - Hee-Chung Kang
- Department of Health Care Policy Research, Korea Institute for Health and Social Affairs (KIHASA), Sejong, Republic of Korea
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Alam NN, Wright AK, Rutter MK, Buchan I, Ashcroft DM, Sperrin M, Renehan AG. Body mass index and cancer mortality in patients with incident type 2 diabetes: A population-based study of adults in England. Diabetes Obes Metab 2022; 24:620-630. [PMID: 34866302 DOI: 10.1111/dom.14614] [Citation(s) in RCA: 2] [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: 07/04/2021] [Revised: 11/14/2021] [Accepted: 12/01/2021] [Indexed: 01/08/2023]
Abstract
AIMS We evaluated the relationship between body mass index (BMI) and cancer mortality in incident type 2 diabetes. METHODS We used the Clinical Practice Research Datalink GOLD (1998-2015), linked with the Office of National Statistics mortalities, and derived an incident type 2 diabetes cohort (N = 176 886; aged 30-85 years). We determined BMI ±12 months diabetes diagnosis. The primary outcome was cancer mortality, categorized into deaths from obesity-related cancers (ORCs) and non-ORCs. Secondary outcomes were site-specific cancer mortality and main causes of deaths [cancer, cardiovascular disease (CVD), non-cancer non-CVD]. We developed gender-specific Cox models and expressed risk as hazard ratios and 95% confidence intervals, stratified by smoking status. RESULTS With 886 850 person-years follow-up, 7593 cancer deaths occurred. Among women who never smoked, there were positive associations between BMI and deaths from endometrial (hazard ratios per 5 kg/m2 : 1.43; 95% confidence interval 1.26-1.61). Among men, associations between BMI and ORC mortality were inverse but attenuated towards null among never smokers and excluding deaths in the first 2 years. In men, the proportion of CVD deaths increased from 36.8% in BMI category 22.5 to 24.9 kg/m2 to 43.6% in BMI category ≥40 kg/m2 (p < .001). CONCLUSIONS We found some relationships between BMI and cancer mortality in patients with type 2 diabetes, but interpretations need to account for smoking status, reverse causality and deaths from CVD.
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Affiliation(s)
- Nasra N Alam
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Alison K Wright
- Centre for Pharmacoepidemiology and Drug Safety, Division of Pharmacy and Optometry, School of Health Sciences, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, University of Manchester, Manchester, UK
| | - Martin K Rutter
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, University of Manchester, Manchester, UK
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Iain Buchan
- Department of Public Health and Policy, Institute of Population Health, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Darren M Ashcroft
- Centre for Pharmacoepidemiology and Drug Safety, Division of Pharmacy and Optometry, School of Health Sciences, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Matthew Sperrin
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Andrew G Renehan
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Manchester Cancer Research Centre, NIHR Manchester Biomedical Research Centre, University of Manchester, Manchester, UK
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Vipin VA, Blesson CS, Yallampalli C. Maternal low protein diet and fetal programming of lean type 2 diabetes. World J Diabetes 2022; 13:185-202. [PMID: 35432755 PMCID: PMC8984567 DOI: 10.4239/wjd.v13.i3.185] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 12/30/2021] [Accepted: 02/10/2022] [Indexed: 02/06/2023] Open
Abstract
Maternal nutrition is found to be the key factor that determines fetal health in utero and metabolic health during adulthood. Metabolic diseases have been primarily attributed to impaired maternal nutrition during pregnancy, and impaired nutrition has been an immense issue across the globe. In recent years, type 2 diabetes (T2D) has reached epidemic proportion and is a severe public health problem in many countries. Although plenty of research has already been conducted to tackle T2D which is associated with obesity, little is known regarding the etiology and pathophysiology of lean T2D, a variant of T2D. Recent studies have focused on the effects of epigenetic variation on the contribution of in utero origins of lean T2D, although other mechanisms might also contribute to the pathology. Observational studies in humans and experiments in animals strongly suggest an association between maternal low protein diet and lean T2D phenotype. In addition, clear sex-specific disease prevalence was observed in different studies. Consequently, more research is essential for the understanding of the etiology and pathophysiology of lean T2D, which might help to develop better disease prevention and treatment strategies. This review examines the role of protein insufficiency in the maternal diet as the central driver of the developmental programming of lean T2D.
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Affiliation(s)
- Vidyadharan Alukkal Vipin
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX 77030, United States
| | - Chellakkan Selvanesan Blesson
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX 77030, United States
- Family Fertility Center, Texas Children's Hospital, Houston, TX 77030, United States
| | - Chandra Yallampalli
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX 77030, United States
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Time-varying association between body mass index and all-cause mortality in patients with hypertension. Int J Obes (Lond) 2022; 46:316-324. [PMID: 34697410 DOI: 10.1038/s41366-021-00994-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 09/21/2021] [Accepted: 10/11/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND Relationship between BMI and all-cause mortality in patients with hypertension remains controversial. This study aimed to evaluate the time-varying association between BMI in patients with hypertension and all-cause mortality. METHODS This population-based cohort study included 212,394 Chinese adults with hypertension from 2007 to 2015 and was followed up until death, loss-to-follow-up, or December 31, 2018. According to the World Health Organization criteria for Asians, BMI was categorized into five groups: underweight (BMI < 18.5 kg/m2), normal weight (18.5-22.9 kg/m2), overweight (23-24.9 kg/m2), class I obesity (25-29.9 kg/m2) and class II obesity (BMI ≥ 30 kg/m2). Cox model was used to estimate the time-varying association of BMI on the risk of mortality by including the interaction term between BMI and time using restricted cubic spline. RESULTS Compared with normal weight, underweight and class II obesity were associated with higher mortality (Hazard ratio [HRs] at 1 and 10 years of follow-up: 1.51 [95% CI: 1.39-1.65], and 1.27 (1.15-1.41) for underweight, respectively; 1.08 (0.96-1.21), and 1.16 (1.03-1.30) for class II obesity, respectively). However, overweight and class I obesity were associated with lower mortality, although the protective effects gradually attenuated over time (HRs at 1 and 10 years of follow-up: 0.85 (0.81-0.90), and 0.96 (0.91-1.02) for overweight, respectively; 0.80 (0.76-0.84), and 1.04 (0.99-1.10) for class I obesity, respectively). CONCLUSIONS We found increased mortality among hypertensive patients with underweight and class II obesity while decreased mortality with overweight and class I obesity was observed during the first 5 years of follow-up. Management efforts for hypertension may target controlling body weight in a reasonable range for patients, and probably more attention should be given to underweight patients.
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