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Venkatesan U, Amutha A, Jones AG, Shields BM, Anjana RM, Unnikrishnan R, Mappillairaju B, Mohan V. Performance of European prediction models for classification of type 1 and type 2 diabetes in Indians. Diabetes Metab Syndr 2024; 18:103007. [PMID: 38636306 DOI: 10.1016/j.dsx.2024.103007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 03/15/2024] [Accepted: 04/07/2024] [Indexed: 04/20/2024]
Abstract
AIM We aimed to determine the performance of European prediction models in an Indian population to classify type 1 diabetes(T1D) and type 2 diabetes(T2D). METHODS We assessed discrimination and calibration of published models of diabetes classification, using retrospective data from electronic medical records of 83309 participants aged 18-50 years living in India. Diabetes type was defined based on C-peptide measurement and early insulin requirement. Models assessed combinations of clinical measurements: age at diagnosis, body mass index(mean = 26.6 kg/m2), sex(male = 64.9 %), Glutamic acid decarboxylase(GAD) antibody, serum cholesterol, serum triglycerides, and high-density lipoprotein(HDL) cholesterol. RESULTS 67955 participants met inclusion criteria, of whom 0.8 % had T1D, which was markedly lower than model development cohorts. Model discrimination for clinical features was broadly similar in our Indian cohort compared to the European cohort: area under the receiver operating characteristic curve(AUC ROC) was 0.90 vs. 0.90 respectively, but was lower in the subset of young participants with measured GAD antibodies(n = 2404): and an AUC ROC of 0.87 when clinical features, sex, lipids and GAD antibodies were combined. All models substantially overestimated the likelihood of T1D, reflecting the lower prevalence of T1D in the Indian population. However, good model performance was achieved after recalibration by updating the model intercept and slope. CONCLUSION Models for diabetes classification maintain the discrimination of T1D and T2D in this Indian population, where T2D is far more common, but require recalibration to obtain appropriate model probabilities. External validation and recalibration are needed before these tools can be used in non-European populations.
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Affiliation(s)
- Ulagamadesan Venkatesan
- Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India; School of Public Health, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
| | | | - Angus G Jones
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, EX2 5DW, UK
| | - Beverley M Shields
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, EX2 5DW, UK
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India; Dr. Mohan's Diabetes Specialties Centre, Chennai, Tamil Nadu, India
| | - Ranjit Unnikrishnan
- Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India; Dr. Mohan's Diabetes Specialties Centre, Chennai, Tamil Nadu, India
| | - Bagavandas Mappillairaju
- Centre for Statistics, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India; Dr. Mohan's Diabetes Specialties Centre, Chennai, Tamil Nadu, India
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Aarthy R, Aston-Mourney K, Amutha A, Mikocka-Walus A, Anjana RM, Unnikrishnan R, Jebarani S, Venkatesan U, Gopi S, Radha V, Mohan V. Identification of appropriate biochemical parameters and cut points to detect Maturity Onset Diabetes of Young (MODY) in Asian Indians in a clinic setting. Sci Rep 2023; 13:11408. [PMID: 37452084 PMCID: PMC10349068 DOI: 10.1038/s41598-023-37766-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 06/27/2023] [Indexed: 07/18/2023] Open
Abstract
Maturity Onset Diabetes of the Young (MODY) is a monogenic form of diabetes which is detected by genetic testing. We looked at clinical and biochemcial variables that could help detect possible MODY among Asian Indians with youth-onset diabetes. From the diabetes electronic medical records of a diabetes care centre in Chennai in southern India, demographic, anthropometric, and biochemical details of 34 genetically confirmed MODY participants were extracted. They were compared with patients with type 1 diabetes (T1D) (n = 1011) and type 2 diabetes (T2D) (n = 1605), diagnosed below 30 years of age. Clinical and biochemical variables including body mass index (BMI), glycated hemoglobin, HDL cholesterol, and C-peptide (fasting and stimulated) were analyzed to determine whether cut points could be derived to identify individuals who could be sent for genetic testing to diagnose or rule out MODY in this ethnic group. The age at diagnosis was higher for T2D (26.5 ± 4.0 years) compared to T1D (18.2 ± 6.1 years) and MODY (17.8 ± 6.0 years). Individuals with MODY had BMI, glycated hemoglobin, total cholesterol, triglycerides, HDL cholesterol, and C-peptide levels which were intermediate between T1D and T2D. The identified probable parameters and their cut points to identify cases for MODY genetic screening were BMI 21.2-22.7 kg/m2, glycated hemoglobin 7.2-10%, HDL cholesterol 43-45 mg/dl, fasting C -peptide, 1.2-2.1 ng/ml and stimulated C-peptide, 2.1-4.5 ng/ml. Asian Indians with MODY have clinical features that are intermediate between T1D and T2D and selected biochemical parameters, especially stimulated C peptide cut points were the most useful to diagnose MODY.
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Affiliation(s)
- Ramasamy Aarthy
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Deakin University Geelong, Geelong, Australia
| | - Kathryn Aston-Mourney
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Deakin University Geelong, Geelong, Australia
| | - Anandakumar Amutha
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
| | | | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
- Dr. Mohan's Diabetes Specialties Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600086, India
| | - Ranjit Unnikrishnan
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
- Dr. Mohan's Diabetes Specialties Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600086, India
| | - Saravanan Jebarani
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
| | - Ulagamathesan Venkatesan
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
| | - Sundaramoorthy Gopi
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
| | - Venkatesan Radha
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India.
- Dr. Mohan's Diabetes Specialties Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600086, India.
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Aarthy R, Aston-Mourney K, Amutha A, Mikocka-Walus A, Anjana RM, Unnikrishnan R, Jebarani S, Venkatesan U, Gopi S, Radha V, Mohan V. Prevalence, clinical features and complications of common forms of Maturity Onset Diabetes of the Young (MODY) seen at a tertiary diabetes centre in south India. Prim Care Diabetes 2023:S1751-9918(23)00071-2. [PMID: 37055265 DOI: 10.1016/j.pcd.2023.04.004] [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: 09/30/2022] [Revised: 03/17/2023] [Accepted: 04/07/2023] [Indexed: 04/15/2023]
Abstract
BACKGROUND Maturity Onset Diabetes of the Young (MODY) is a form of monogenic diabetes caused by mutations in single genes, affecting adolescents or young adults. MODY is frequently misdiagnosed as type 1 diabetes (T1). Though several studies from India have reported on the genetic aspects of MODY, the clinical profile, complications and treatments given have not been reported so far, nor compared with T1D and type 2 diabetes (T2D). AIM To determine the prevalence, clinical features, and complications of common forms of genetically proven MODY seen at a tertiary diabetes centre in South India and compare them with matched individuals with T1D and T2D. METHODS Five hundred and thirty individuals identified as 'possible MODY' based on clinical criteria, underwent genetic testing for MODY. Diagnosis of MODY was confirmed based on pathogenic or likely pathogenic variants found using Genome Aggregation Database (gnomAD) and American College of Medical Genetics (ACMG) criteria. The clinical profile of MODY was compared with individuals with type 1 (T1D) and type 2 (T2D) diabetes, matched for duration of diabetes. Retinopathy was diagnosed by retinal photography; nephropathy by urinary albumin excretion > 30 µg/mg of creatinine and neuropathy by vibration perception threshold > 20 v on biothesiometry. RESULTS Fifty-eight patients were confirmed to have MODY (10.9%). HNF1A-MODY (n = 25) was the most common subtype followed by HNF4A-MODY (n = 11), ABCC8-MODY (n = 11), GCK-MODY (n = 6) and HNF1B-MODY (n = 5). For comparison of clinical profile, only the three 'actionable' subtypes - defined as those who may respond to sulphonylureas, namely, HNF1A, HNF4A and ABCC8-MODY, were included. Age at onset of diabetes was lower among HNF4A-MODY and HNF1A-MODY than ABCC8-MODY, T1D and T2D. Prevalence of retinopathy and nephropathy was higher among the three MODY subtypes taken together (n = 47) as compared to T1D (n = 86) and T2D (n = 86). CONCLUSION This is one of the first reports of MODY subtypes from India based on ACMG and gnomAD criteria. The high prevalence of retinopathy and nephropathy in MODY points to the need for earlier diagnosis and better control of diabetes in individuals with MODY.
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Affiliation(s)
- Ramasamy Aarthy
- Madras Diabetes Research Foundation, Chennai, India; Deakin University, School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Geelong, Australia
| | - Kathryn Aston-Mourney
- Deakin University, School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Geelong, Australia
| | | | | | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation, Chennai, India; Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Ranjit Unnikrishnan
- Madras Diabetes Research Foundation, Chennai, India; Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | | | | | | | | | - Viswanathan Mohan
- Madras Diabetes Research Foundation, Chennai, India; Dr. Mohan's Diabetes Specialties Centre, Chennai, India.
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Mohan V, Uma Sankari G, Amutha A, Anjana RM, Jeba Rani S, Unnikrishnan R, Venkatesan U, Shanthi Rani CS. Clinical and biochemical profile of childhood-adolescent-onset type 1 diabetes and adult-onset type 1 diabetes among Asian Indians. Acta Diabetol 2023; 60:579-586. [PMID: 36700996 DOI: 10.1007/s00592-023-02034-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: 11/11/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023]
Abstract
AIM To compare the clinical and biochemical profile and prevalence of complications among childhood/adolescent-onset (CAO; onset of diabetes< 20 years of age) and adult-onset (AO; onset of diabetes- ≥ 20 years of age) type 1 diabetes (T1D), seen at a tertiary care diabetes center in south India. METHOD Data of 5578 individuals with T1D, diagnosed based on a history of diabetic ketoacidosis or ketonuria, fasting C-peptide < 0.3 pmol/mL and stimulated C-peptide values < 0.6 pmol/mL, and requirement of insulin right from the time of diagnosis, presenting to our center between 1991 and 2021, were retrieved from our electronic medical records. Retinopathy was assessed by retinal photography, chronic kidney disease (CKD) by urinary albumin excretion ≥ 30 µg/mg of creatinine and/or eGFR < 60 mL/min, and neuropathy by vibration perception threshold >= 20v on biothesiometry. RESULTS Overall, 3559 (63.8%) of individuals with T1D, belonged to CAO group and 2019 (36.2%) to AO category. AO had higher prevalence of all microvascular complications compared to CAO at every diabetes duration interval, even after adjusting for A1c. Among the AO group, prevalence of retinopathy, CKD, and neuropathy was higher in the GAD negative group. Among CAO there were no differences between the GAD negative and GAD positive groups with respect to prevalence of complications of diabetes. CONCLUSION AO with T1D had higher prevalence of microvascular complications compared to CAO. Among AO, GAD negative individuals had higher percentage of retinopathy and CKD compared to GAD positive group.
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Affiliation(s)
- Viswanathan Mohan
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research On Diabetes) & Dr. Mohan's Diabetes Specialities Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India.
| | - Ganesan Uma Sankari
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research On Diabetes) & Dr. Mohan's Diabetes Specialities Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Anandakumar Amutha
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research On Diabetes) & Dr. Mohan's Diabetes Specialities Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research On Diabetes) & Dr. Mohan's Diabetes Specialities Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Saravanan Jeba Rani
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research On Diabetes) & Dr. Mohan's Diabetes Specialities Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Ranjit Unnikrishnan
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research On Diabetes) & Dr. Mohan's Diabetes Specialities Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Ulagamathesan Venkatesan
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research On Diabetes) & Dr. Mohan's Diabetes Specialities Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Coimbatore Subramanian Shanthi Rani
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research On Diabetes) & Dr. Mohan's Diabetes Specialities Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
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Singh I, Reddy C, Saini AG, Dayal D, Sharawat IK, Kasinathan A, Sachdeva N, Attri S, Sankhyan N. Prevalence of peripheral neuropathy and associated risk factors in children with type 1 diabetes. Prim Care Diabetes 2022; 16:287-292. [PMID: 34998692 DOI: 10.1016/j.pcd.2022.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 12/20/2021] [Accepted: 01/01/2022] [Indexed: 10/19/2022]
Abstract
AIM To detect the prevalence of diabetic polyneuropathy (DPN) in children with type 1 diabetes (T1D) and to identify associated the risk factors. METHODS This cross-sectional study evaluated children aged between 2 and 16y with T1D for ≥2 y. Detailed neurological examination, neuropathy symptom score, and nerve conduction studies were done in all children to assess nerve dysfunction. Disease-related factors were evaluated for the prediction of neuropathy. RESULTS Sixty-six children (67% boys) were enrolled. The mean age at the time of diagnosis of T1D was 7.1 ± 2.6 years. The mean duration of diabetes was 4 ± 1.8 years. None of the patients had neuropathy on clinical examination or on the neuropathy symptom score. The prevalence of subclinical DPN was 18.2% (n = 12/66). The type of neuropathy was pure motor (n = 11, 91.6%) and mixed sensorimotor (n = 1, 8.3%). The common peroneal nerve was most commonly affected (n = 6, 50%), followed by the tibial (n = 4, 33.3%) nerve. The most common patterns of nerve involvement were mixed axonal and demyelination (n = 7, 58.3%), followed by axonal (n = 3, 25%) and demyelinating type (n = 2, 16.6%). Children with subclinical DPN had a significant reduction in velocity of tibial, common peroneal, median motor, and ulnar motor nerves; delayed latency in common peroneal, median motor, ulnar motor, and median sensory nerves compared to those without DPN (p value <0.05). A higher body mass index predicted the development of subclinical DPN (p value <0.05). CONCLUSION Nearly one-fifth of children with T1D have subclinical neuropathy as early as two years of the disease. A higher body mass index is significantly associated with DPN. Electrophysiological studies should be performed regularly to screen for nerve dysfunction and its progression.
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Affiliation(s)
- Indrabhushan Singh
- Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
| | - Chaithanya Reddy
- Pediatric Neurology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
| | - Arushi Gahlot Saini
- Pediatric Neurology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
| | - Devi Dayal
- Endocrinology and Diabetes Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
| | - Indar Kumar Sharawat
- Pediatric Neurology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
| | - Ananthanarayanan Kasinathan
- Pediatric Neurology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
| | - Naresh Sachdeva
- Department of Endocrinology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
| | - Savita Attri
- Pediatric Biochemistry Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
| | - Naveen Sankhyan
- Pediatric Neurology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
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Yen F, Hwu C. Similarities and differences in the natural history of youth‐onset type 2 diabetes between the West and Asia. J Diabetes Investig 2022; 13:941-943. [PMID: 35124889 PMCID: PMC9153830 DOI: 10.1111/jdi.13767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 01/30/2022] [Accepted: 02/01/2022] [Indexed: 11/29/2022] Open
Affiliation(s)
- Fu‐Shun Yen
- Dr. Yen’s Clinic 15, Shanying Rd. Gueishan District Taoyuan 333 Taiwan
| | - Chii‐Min Hwu
- Section of Endocrinology and Metabolism Department of Medicine Taipei Veterans General Hospital 201, Shi‐Pai Rd. Sec. 2, Chung‐Cheng Build. 11F Room 522 Taipei 112 Taiwan
- Faculty of Medicine National Yang Ming Chiao Tung University School of Medicine 155, Linong St. Sec. 2 Taipei 112 Taiwan
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7
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Mohan V, Shanthi Rani CS, Saboo B, Mukhopadhyay S, Chatterjee S, Dharmarajan P, Gupta S, Pendsey S, Chandrakanta J, Umasankari G, Amutha A, Salis S, Datta S, Gupta PK, Routray P, Jebarani S, Sastry NG, Venkatesan U, Anjana RM, Unnikrishnan R. Clinical Profile of Long-Term Survivors and Nonsurvivors with Type 1 Diabetes in India. Diabetes Technol Ther 2022; 24:120-129. [PMID: 34569820 DOI: 10.1089/dia.2021.0284] [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] [Indexed: 11/12/2022]
Abstract
Objective: To compare the clinical profile of long-term survivors and nonsurvivors with type 1 diabetes (T1D) in India. Research Design and Methods: This is a retrospective study of 76 individuals with T1D who had survived for at least 40 years ("survivors") and 51 individuals with T1D who had died with shorter duration of diabetes ("non-survivors"), from diabetes clinics in different cities of India. Prevalence of complications in both groups and causes of death of the nonsurvivors were analyzed. Retinopathy was diagnosed by retinal photography; chronic kidney disease (CKD) by urinary albumin excretion (micro-or macroalbuminuria) and estimated glomerular filtration rate; peripheral vascular disease (PVD) by doppler measurement of ankle-brachial pressure index; coronary artery disease (CAD) based on history of myocardial infarction or coronary revascularization, and neuropathy by biothesiometry. Results: Mean glycated hemoglobin (8.4% ± 1.5% vs. 10.7% ± 2.2%, P < 0.001), serum low-density lipoprotein cholesterol (91 ± 29 mg/dL vs. 107 ± 22 mg/dL, P = 0.004), and systolic blood pressure (135 ± 16 mmHg vs. 153 ± 37 mmHg, P = 0.003) were lower, and high-density lipoprotein cholesterol (51 ± 11 mg/dL vs. 43 ± 15 mg/dL, P = 0.002) higher, among survivors compared to nonsurvivors. Diabetic retinopathy, CKD, neuropathy, PVD, and CAD were more frequent among nonsurvivors. CAD [25.5%] and renal failure [23.5%] were the most frequent causes of death. Conclusions: In this first report of long-term survivors with T1D from India, we report that survivors had better glycemic and blood pressure control, more favorable lipid profiles and lower prevalence of complications compared to nonsurvivors. However, there could be other protective factors as well, which merit further studies.
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Affiliation(s)
- Viswanathan Mohan
- Dr. Mohan's Diabetes Specialities Centre & Madras Diabetes Research Foundation, Chennai, India
| | | | - Banshi Saboo
- Diabetes Care & Hormone Clinic, Ahmedabad, India
| | | | | | | | - Sunil Gupta
- Sunil's Diabetes Care n' Research Pvt Ltd., Nagpur, India
| | | | - Jha Chandrakanta
- Dr. Mohan's Diabetes Specialities Centre & Madras Diabetes Research Foundation, Chennai, India
| | - Ganesan Umasankari
- Dr. Mohan's Diabetes Specialities Centre & Madras Diabetes Research Foundation, Chennai, India
| | - Anandakumar Amutha
- Dr. Mohan's Diabetes Specialities Centre & Madras Diabetes Research Foundation, Chennai, India
| | | | - Supriya Datta
- Dr. Mohan's Diabetes Specialities Centre & Madras Diabetes Research Foundation, Chennai, India
| | - Prasanna Kumar Gupta
- Dr. Mohan's Diabetes Specialities Centre & Madras Diabetes Research Foundation, Chennai, India
| | - Philips Routray
- Dr. Mohan's Diabetes Specialities Centre & Madras Diabetes Research Foundation, Chennai, India
| | - Saravanan Jebarani
- Dr. Mohan's Diabetes Specialities Centre & Madras Diabetes Research Foundation, Chennai, India
| | | | | | - Ranjit Mohan Anjana
- Dr. Mohan's Diabetes Specialities Centre & Madras Diabetes Research Foundation, Chennai, India
| | - Ranjit Unnikrishnan
- Dr. Mohan's Diabetes Specialities Centre & Madras Diabetes Research Foundation, Chennai, India
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Cioana M, Deng J, Nadarajah A, Hou M, Qiu Y, Chen SSJ, Rivas A, Banfield L, Alfaraidi H, Alotaibi A, Thabane L, Samaan MC. Prevalence of Polycystic Ovary Syndrome in Patients With Pediatric Type 2 Diabetes: A Systematic Review and Meta-analysis. JAMA Netw Open 2022; 5:e2147454. [PMID: 35166782 PMCID: PMC8848210 DOI: 10.1001/jamanetworkopen.2021.47454] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
IMPORTANCE The prevalence of pediatric type 2 diabetes (T2D) is increasing globally. Girls with T2D are at risk of developing polycystic ovary syndrome (PCOS), but the prevalence of PCOS among girls with T2D is unknown. OBJECTIVE To determine the prevalence of PCOS in girls with T2D and to assess the association of obesity and race with this prevalence. DATA SOURCES In this systematic review and meta-analysis, MEDLINE, Embase, CINAHL, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Web of Science: Conference Proceedings Citation Index-Science, and the gray literature were searched from inception to April 4, 2021. STUDY SELECTION Two reviewers independently screened for studies with observational study design that recruited 10 or more participants and reported the prevalence of PCOS in girls with T2D. DATA EXTRACTION AND SYNTHESIS Risk of bias was evaluated using a validated tool, and level of evidence was assessed using the Oxford Centre for Evidence-Based Medicine criteria. A random-effects meta-analysis was performed. This study follows the Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guideline. MAIN OUTCOMES AND MEASURES The main outcome of this systematic review was the prevalence of PCOS in girls with T2D. Secondary outcomes included assessing the associations of obesity and race with PCOS prevalence. RESULTS Of 722 screened studies, 6 studies involving 470 girls with T2D (mean age at diagnosis, 12.9-16.1 years) met the inclusion criteria. The prevalence (weighted percentage) of PCOS was 19.58% (95% CI, 12.02%-27.14%; I2 = 74%; P = .002). Heterogeneity was moderate to high; however, it was significantly reduced after excluding studies that did not report PCOS diagnostic criteria, leading to a calculated prevalence (weighted percentage) of 24.04% (95% CI, 15.07%-33.01%; I2 = 0%; P = .92). Associations with obesity and race could not be determined because of data paucity. CONCLUSIONS AND RELEVANCE In this meta-analysis, approximately 1 in 5 girls with T2D had PCOS, but the results of this meta-analysis should be considered with caution because studies including the larger numbers of girls did not report the criteria used to diagnose PCOS, which is a challenge during adolescence. The associations of obesity and race with PCOS prevalence among girls with T2D need further evaluation to help define at-risk subgroups and implement early assessment and treatment strategies to improve management of this T2D-related comorbidity.
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Affiliation(s)
- Milena Cioana
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
| | - Jiawen Deng
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
| | - Ajantha Nadarajah
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
| | - Maggie Hou
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
| | - Yuan Qiu
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
- Michael G. De Groote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Sondra Song Jie Chen
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
| | - Angelica Rivas
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
- Michael G. De Groote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Laura Banfield
- Health Sciences Library, McMaster University, Hamilton, Ontario, Canada
| | - Haifa Alfaraidi
- College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Division of Endocrinology, Department of Pediatrics, Ministry of the National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Ahlam Alotaibi
- Department of Pediatrics, Division of Pediatric Endocrinology, King Abdullah bin Abdulaziz University Hospital, Princess Noura University, Riyadh, Saudi Arabia
| | - Lehana Thabane
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada
- Centre for Evaluation of Medicines, St Joseph’s Health Care, Hamilton, Ontario, Canada
- Biostatistics Unit, St Joseph’s Healthcare, Hamilton, Ontario, Canada
| | - M. Constantine Samaan
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
- Michael G. De Groote School of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
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9
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Long C, Feng H, Duan W, Chen X, Zhao Y, Lan Y, Yue R. Prevalence of polycystic ovary syndrome in patients with type 2 diabetes: A systematic review and meta-analysis. Front Endocrinol (Lausanne) 2022; 13:980405. [PMID: 36120432 PMCID: PMC9471325 DOI: 10.3389/fendo.2022.980405] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/10/2022] [Indexed: 11/13/2022] Open
Abstract
PURPOSE With type 2 diabetes mellitus (T2DM) occurring at a younger age, a greater number of women with T2DM experience reproductive health problems. The prevalence of polycystic ovary syndrome (PCOS), a common reproductive disease associated with T2DM, remains unknown in women with T2DM. This systematic review and meta-analysis aimed to determine the prevalence of PCOS in women with T2DM. METHODS Stata 15.1 was used to perform a meta-analysis on the prevalence of PCOS in patients with T2DM included in this study. Additionally, a narrative review of the effects of different diagnostic methods, obesity, state, and other factors on the prevalence of PCOS was conducted. RESULTS Meta-analysis showed that the overall prevalence of PCOS in women with T2DM was approximately 21%. Subgroup analysis showed that the incidence of PCOS in female patients aged 25-45 years was higher than that in female patients aged < 25 years. The prevalence of PCOS in obese women was 14%, which was lower than that in normal weight women and normal weight or overweight or obese women. Women with T2DM in Oceania had the highest incidence of PCOS, followed by those in Europe and Asia; women with T2DM in North America had the lowest incidence. In terms of PCOS diagnostic standards, the prevalence of PCOS diagnosed by the National Institutes of Health was the lowest. The prevalence of PCOS diagnosed on the basis of clinical symptoms and biochemical characteristics was the highest, and the prevalence of PCOS diagnosed on the basis of medical records was 20%. CONCLUSIONS PCOS is a common disease in female patients with T2DM. The prevalence of PCOS in women with T2DM at childbearing age was higher than that in adolescent females. Women with T2DM at childbearing age should pay attention to the screening and prevention of PCOS to avoid the hazards of PCOS to reproductive health. SYSTEMATIC REVIEW REGISTRATION PROSPERO, identifier CRD42022318657.
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Affiliation(s)
- Caiyi Long
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Haoyue Feng
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Wen Duan
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xin Chen
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yuemeng Zhao
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ying Lan
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- *Correspondence: Rensong Yue, ; Ying Lan,
| | - Rensong Yue
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- *Correspondence: Rensong Yue, ; Ying Lan,
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10
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Misra A, Ramachandran A, Saboo B, Kesavadev J, Sosale A, Joshi S, Das AK. Screening for diabetes in India should be initiated at 25 years age. Diabetes Metab Syndr 2021; 15:102321. [PMID: 34739907 DOI: 10.1016/j.dsx.2021.102321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
BACKGROUND Current guidelines state that screening for diabetes should be done at 30 years of age in India. METHODS Investigators from multiple sites in India were involved in providing data regarding patients with type 2 diabetes (T2D) aged 30 years or less. Other relevant studies were also reviewed. RESULTS Overview of published and unpublished data show increasing prevalence of T2D in individuals 30 years and less. About 3/4th of them had overweight/obesity. CONCLUSION Screening for diabetes in India should start at 25 years in non-pregnant adults instead of 30 years as currently stipulated.
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Affiliation(s)
- Anoop Misra
- Fortis-C-DOC Centre of Excellence for Diabetes, Metabolic Diseases and Endocrinology, India; National Diabetes, Obesity and Cholesterol Foundation (N-DOC), India; Diabetes Foundation (India) (DFI), India.
| | - Ambady Ramachandran
- India Diabetes Research Foundation, Dr.A.Ramachandran's Diabetes Hospitals, Chennai, India
| | - Banshi Saboo
- Diacare, Diabetes Care & Hormone Clinic, Ahmedabad, India
| | | | | | | | - Ashok Kumar Das
- Sri Aurobindo Heath System, New Medical Center, Pondicherry, India
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11
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Cioana M, Deng J, Hou M, Nadarajah A, Qiu Y, Chen SSJ, Rivas A, Banfield L, Chanchlani R, Dart A, Wicklow B, Alfaraidi H, Alotaibi A, Thabane L, Samaan MC. Prevalence of Hypertension and Albuminuria in Pediatric Type 2 Diabetes: A Systematic Review and Meta-analysis. JAMA Netw Open 2021; 4:e216069. [PMID: 33929524 PMCID: PMC8087958 DOI: 10.1001/jamanetworkopen.2021.6069] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 02/24/2021] [Indexed: 12/11/2022] Open
Abstract
Importance Hypertension and albuminuria are markers of diabetes-related nephropathy and important factors associated with kidney outcomes in pediatric type 2 diabetes. However, their prevalence in these patients is unknown. Objective To measure the prevalence of hypertension and albuminuria in pediatric patients with type 2 diabetes and to evaluate the association of sex and race/ethnicity with these conditions. Data Sources MEDLINE, Embase, CINAHL, Cochrane Library, Web of Science, the gray literature, and references of the screened articles were searched for human studies from date of database inception to February 20, 2020. Study Selection Observational studies with at least 10 participants reporting the prevalence of hypertension and/or albuminuria in pediatric patients with type 2 diabetes were included. Three teams of 2 independent reviewers screened 7614 papers, of which 60 fulfilled the eligibility criteria. Data Extraction and Synthesis Three teams of 2 independent reviewers performed data extraction, risk of bias analysis, and level of evidence analyses. The meta-analysis was conducted using a random-effects model and followed the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines. Main Outcomes and Measures The primary outcomes included the pooled prevalence rates (percentages with 95% CI) for hypertension and albuminuria. The secondary outcomes assessed pooled prevalence rates by sex and racial/ethnic group. Results Sixty studies were included in the systematic review. Diabetes duration varied from inclusion at diagnosis to 15.0 years after diagnosis, and the reported mean age at diagnosis ranged from 6.5 to 21.0 years. Hypertension prevalence among 3463 participants was 25.33% (95% CI, 19.57%-31.53%). Male participants had higher hypertension risk than female participants (odds ratio [OR], 1.42 [95% CI, 1.10-1.83]), with Pacific Islander and Indigenous youth having the highest prevalence of all racial/ethnic groups (Pacific Islander youth: 26.71% [95% CI, 14.54%-40.72%]; Indigenous youth: 26.48% [95% CI, 17.34%-36.74%]; White youth: 20.95% [95% CI, 12.65%-30.57%]; African American youth: 19.04% [95% CI, 12.01%-27.23%]; Hispanic/Latino youth: 15.11% [95% CI, 6.56%-26.30%]; Asian youth: 18.37% [95% CI, 9.49%-29.23%]). Albuminuria prevalence among 2250 participants was 22.17% (95% CI, 17.34%-27.38%). Pacific Islander youth, Indigenous youth, and Asian youth had higher prevalence rates than White youth (Pacific Islander youth: 31.84% [95% CI, 11.90%-55.47%]; Indigenous youth: 24.27% [95% CI, 14.39%-35.73%]; Asian youth: 23.00% [95% CI, 18.85%-27.41%]; White youth: 12.59% [95% CI, 7.75%-18.33%]), with no sex differences (OR for male vs female participants, 0.68 [95% CI, 0.46-1.01]). Heterogeneity was high among studies, with a low to moderate risk of bias. Conclusions and Relevance In this study, markers of diabetes-related nephropathy were commonly detected in pediatric patients with type 2 diabetes, with a disproportionate burden noted among Pacific Islander and Indigenous youth. Personalized management strategies to target kidney outcomes are urgently needed in pediatric patients with type 2 diabetes to alleviate the burden of this condition on the kidneys.
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Affiliation(s)
- Milena Cioana
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
| | - Jiawen Deng
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
| | - Maggie Hou
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
| | - Ajantha Nadarajah
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
| | - Yuan Qiu
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
- Michael G. De Groote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Sondra Song Jie Chen
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
| | - Angelica Rivas
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
- Michael G. De Groote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Laura Banfield
- Health Sciences Library, McMaster University, Hamilton, Ontario, Canada
| | - Rahul Chanchlani
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Nephrology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
| | - Allison Dart
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada
- Children’s Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Brandy Wicklow
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada
- Children’s Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Haifa Alfaraidi
- College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Division of Endocrinology, Department of Pediatrics, Ministry of the National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Ahlam Alotaibi
- Department of Pediatrics, Division of Pediatric Endocrinology, King Abdullah bin Abdulaziz University Hospital, Princess Noura University, Riyadh, Saudi Arabia
| | - Lehana Thabane
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada
- Centre for Evaluation of Medicines, St Joseph’s Health Care, Hamilton, Ontario, Canada
- Biostatistics Unit, St Joseph’s Healthcare, Hamilton, Ontario, Canada
| | - M. Constantine Samaan
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
- Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Michael G. De Groote School of Medicine, McMaster University, Hamilton, Ontario, Canada
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12
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Seng JJB, Monteiro AY, Kwan YH, Zainudin SB, Tan CS, Thumboo J, Low LL. Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review. BMC Med Res Methodol 2021; 21:49. [PMID: 33706717 PMCID: PMC7953703 DOI: 10.1186/s12874-021-01209-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 01/13/2021] [Indexed: 12/25/2022] Open
Abstract
Background Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among Type 2 diabetes mellitus (T2DM) patients. Methods The literature search was conducted in Medline®, Embase®, Scopus® and PsycInfo®. Articles which utilized expert-based or data-driven population segmentation methodologies for evaluation of outcomes among T2DM patients were included. Population segmentation variables were grouped into five domains (socio-demographic, diabetes related, non-diabetes medical related, psychiatric / psychological and health system related variables). A framework for PopulAtion Segmentation Study design for T2DM patients (PASS-T2DM) was proposed. Results Of 155,124 articles screened, 148 articles were included. Expert driven population segmentation approach was most commonly used, of which judgemental splitting was the main strategy employed (n = 111, 75.0%). Cluster based analyses (n = 37, 25.0%) was the main data driven population segmentation strategies utilized. Socio-demographic (n = 66, 44.6%), diabetes related (n = 54, 36.5%) and non-diabetes medical related (n = 18, 12.2%) were the most used domains. Specifically, patients’ race, age, Hba1c related parameters and depression / anxiety related variables were most frequently used. Health grouping/profiling (n = 71, 48%), assessment of diabetes related complications (n = 57, 38.5%) and non-diabetes metabolic derangements (n = 42, 28.4%) were the most frequent population segmentation objectives of the studies. Conclusions Population segmentation has a wide range of clinical applications for evaluating clinical outcomes among T2DM patients. More studies are required to identify the optimal set of population segmentation framework for T2DM patients. Supplementary Information The online version contains supplementary material available at 10.1186/s12874-021-01209-w.
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Affiliation(s)
- Jun Jie Benjamin Seng
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.,SingHealth Regional Health System PULSES Centre, Singapore Health Services, Outram Rd, Singapore, 169608, Singapore
| | | | - Yu Heng Kwan
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Outram Rd, Singapore, 169608, Singapore.,Program in Health Services and Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.,Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Sueziani Binte Zainudin
- Department of General Medicine (Endocrinology), Sengkang General Hospital, Singapore, Singapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Republic of Singapore
| | - Julian Thumboo
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Outram Rd, Singapore, 169608, Singapore.,Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore.,SingHealth Regional Health System, Singapore Health Services, Singapore, Singapore
| | - Lian Leng Low
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Outram Rd, Singapore, 169608, Singapore. .,SingHealth Regional Health System, Singapore Health Services, Singapore, Singapore. .,Department of Family Medicine and Continuing Care, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore. .,SingHealth Duke-NUS Family Medicine Academic Clinical Program, Singapore, Singapore. .,Outram Community Hospital, SingHealth Community Hospitals, 10 Hospital Boulevard, Singapore, 168582, Singapore.
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13
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Praveen PA, Madhu SV, Viswanathan M, Das S, Kakati S, Shah N, Chadha M, Bhadada SK, Kaur T, Dhaliwal RS, Das AK, Yajnik CS, Tandon N. Demographic and clinical profile of youth onset diabetes patients in India-Results from the baseline data of a clinic based registry of people with diabetes in India with young age at onset-[YDR-02]. Pediatr Diabetes 2021; 22:15-21. [PMID: 31885113 DOI: 10.1111/pedi.12973] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 11/25/2019] [Accepted: 12/19/2019] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND We here report the demographic and clinical profile of the patients enrolled in the Indian Council of Medical Research funded Registry of people with diabetes in India with young age at onset (YDR) from 1 January 2000 to 31 July 2011. METHODS The YDR registry recruits all diabetes cases (newly diagnosed or treated) reporting on or after 1 January 2000 with age of diagnosis ≤25 years, and residing within the assigned geographical area of the reporting centres. A baseline proforma was used to obtain information on demographic and clinical details at registration. RESULTS The registry has enrolled 5546 patients (49.5% male; 50.5% female) with youth onset diabetes from 205 reporting centres linked to 8 regional collaborating centres (RCC) across India. T1DM (63.9%; n = 3545) and T2DM (25.3%; n = 1401) were the commonest variants of youth onset diabetes, though their relative proportion varied across RCCs. The mean (SD) age at diagnosis for T1DM was 12.9 (6.5) years, while that for T2DM was 21.7 (3.7) years. Nearly half the T1DM patients were registered within 6 months of the onset of disease. Most cases of T2DM (47.3%) were registered after 3 years from their date of diagnosis. 56.1% of patients had at least one episode of hospitalization at registration. CONCLUSION The observations from YDR registry indicate the need to establish a surveillance system in India to monitor diabetes in youth, not only to understand its complex etiology and natural history but also due to its detrimental socio economic impact.
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Affiliation(s)
- Pradeep A Praveen
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | | | - Mohan Viswanathan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India
| | - Siddhartha Das
- SCB Medical College and Hospital, Cuttack, Odisha, India
| | - Sanjeeb Kakati
- Department of Medicine, Assam Medical College, Dibrugarh, Assam, India
| | - Nalini Shah
- Department of Endocrinology, Seth G S Medical College, K.E.M. Hospital Parel, Mumbai, Maharashtra, India
| | - Manoj Chadha
- P. D. Hinduja Hospital and Medical Research Centre, Veer Savarkar Marg, Mumbai, Maharashtra, India
| | - Sanjay K Bhadada
- Department of Endocrinology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Tanvir Kaur
- Division of Non Communicable Diseases, Indian Council of Medical Research, New Delhi, India
| | | | - Ashok K Das
- Department of Endocrinology, Pondicherry Institute of Medical Sciences, Puducherry, India
| | - C S Yajnik
- Diabetes Unit, King Edward Memorial Hospital Research Centre, Pune, Maharashtra, India
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
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14
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Amutha A, Ranjit U, Anjana RM, Shanthi R CS, Rajalakshmi R, Venkatesan U, Muthukumar S, Philips R, Kayalvizhi S, Gupta PK, Sastry NG, Mohan V. Clinical profile and incidence of microvascular complications of childhood and adolescent onset type 1 and type 2 diabetes seen at a tertiary diabetes center in India. Pediatr Diabetes 2021; 22:67-74. [PMID: 32333449 DOI: 10.1111/pedi.13033] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 04/09/2020] [Accepted: 04/15/2020] [Indexed: 12/22/2022] Open
Abstract
AIM To study the clinical characteristics and incidence of microvascular complications among childhood and adolescent onset type 1 (T1DM) and type 2 diabetes (T2DM) seen at a tertiary care diabetes center in India. METHODS From our electronic medical records, we retrieved clinical and biochemical details of 4555 individuals with childhood and adolescent onset diabetes (diagnosed below the age of 20 years) seen between 1992 and 2017. T1DM was diagnosed if there was history of ketoacidosis or fasting C-peptide <0.3 PMol/mL and stimulated C-peptide <0.6 PMol/mL or if insulin treatment was required from the time of diagnosis. T2DM was diagnosed based on absence of ketosis, or fasting C-peptide ≥0.6 PMol/mL and stimulated >1.0 PMoL/mL, or response to oral hypoglycemic agents for more than 2 years. We calculated the incidence rates of retinopathy (presence of at least one definite microaneurysm by retinal photography), nephropathy (urinary albumin excretion ≥30 μg/mg of creatinine) and neuropathy (vibration perception threshold ≥20 V) per 1000 person-years of follow up. RESULTS Among the 4555 individuals with childhood and adolescent-onset diabetes, 71.4% had T1DM, 19.5% T2DM and 9.1% other forms of diabetes. Age at first visit and duration of diabetes were significantly higher in T2DM when compared to T1DM. The age adjusted incidence of retinopathy was 52.9/1000 person years (Confidence Intervals [CI]: 42.9-62.8) in T1DM and 49.8/1000 person years (CI 30.8-68.8) in T2DM; nephropathy, 6.2 (CI 3.3-9.0) and 13.8 (CI 5.6-22.0); and neuropathy, 8.8(CI 3.6-14.0) and 24.0 (CI 9.8-38.2) in T1DM and T2DM, respectively. CONCLUSION The incidence of microvascular complications is high among childhood and adolescent-onset T1DM and T2DM and these calls for more aggressive control of diabetes.
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Affiliation(s)
- Anandakumar Amutha
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Unnikrishnan Ranjit
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | | | | | | | | | - Routray Philips
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Sengottuvel Kayalvizhi
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Prasanna Kumar Gupta
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | | | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
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15
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Essuman VA, Tagoe NN, Akpalu J, Essuman A, Sackey AH, Hayfron-Benjamin CF, Asare G, Abaidoo B, Amoah A, Ndanu T, Ofori-Adjei I, Barnes NA, Appiah-Thompson BL, Amoaku WM. Morbidity and Complications of Diabetes Mellitus in Children and Adolescents in Ghana: Protocol for a Longitudinal Study. JMIR Res Protoc 2021; 10:e21440. [PMID: 33404517 PMCID: PMC7817364 DOI: 10.2196/21440] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 10/21/2020] [Accepted: 11/10/2020] [Indexed: 12/19/2022] Open
Abstract
Background Diabetes is associated with premature morbidity and mortality from its many complications. There are limited data on the chronic complications of diabetes in children and adolescents in sub-Saharan Africa. Objective The study aims to determine the (1) burden and related factors of chronic systemic complications of diabetes, including diabetic and nondiabetic ocular conditions in children and adolescents, and (2) quality of life (QoL) of participants compared to healthy controls. This manuscript describes the study methodology. Methods Demographic information, medical history, anthropometric measurements, and laboratory characteristics were collected, and the participants were screened for microvascular and macrovascular complications as well as nondiabetic ocular disease. QoL questionnaires were administered to participants, their caregivers, and controls. Participants were followed up annually up to 3 years to determine the natural history of and trends in these conditions. SPSS Version 25.0 will be used for data analysis. Continuous and categorical data will be presented as mean (SD) and as percentages (%), respectively. t tests and analysis of variance will be used to compare means, and chi-square tests will be used to compare categorical data. Correlation, regression, and logistic regression analyses will be employed to establish linear associations and causal associations as appropriate. Relative risk and odds ratios will be used to estimate risk. QoL outcomes in Ghanaian children and adolescents with diabetes mellitus compared with caregivers and healthy controls will be assessed using the Pediatric Quality of Life inventory. Significance will be set at α=.05. Results Institutional approval from the Ethical and Protocol Review Committee of the University of Ghana Medical School was received on August 22, 2014 (Protocol Identification Number: MS-Et/M.12-P4.5/2013-2014). Funding for the project was received from the University of Ghana Research Fund (#UGRF/9/LMG-013/2015-2016) in March 2016. Patient recruitment, clinical examination, and data collection commenced in August 2016 and was completed in September 2019. A total of 58 children and adolescents with diabetes mellitus have been recruited. Blood samples were stored at –80 °C for analysis, which was completed at the end of July 2020. Data analysis is ongoing and will be completed by the end of December 2020. Investigators plan to submit the results for publication by the end of February 2021. Conclusions The prevalence, natural history, trends in diabetic complications and nondiabetic ocular disease, and QoL will be provided. Our data may inform policies and interventions to improve care given to children and adolescents with diabetes. International Registered Report Identifier (IRRID) DERR1-10.2196/21440
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Affiliation(s)
- Vera Adobea Essuman
- Ophthalmology Unit, Department of Surgery, University of Ghana Medical School, Accra, Ghana
| | | | - Josephine Akpalu
- Department of Medicine and Tharapeutics, University of Ghana Medical School, Accra, Ghana
| | - Akye Essuman
- Department of Community Health, University of Ghana Medical School, Accra, Ghana
| | - Adziri H Sackey
- Department of Child Health, University of Ghana Medical School, Accra, Ghana
| | - C F Hayfron-Benjamin
- Department of Physiology, University of Ghana Medical School, Accra, Ghana.,Department of Anaesthesia, Korle Bu Teaching Hospital, Accra, Ghana
| | - George Asare
- Chemical Pathology Unit, Department of Medical Laboratory Sciences, School of Biomedical and Allied Health Sciences, University of Ghana, Accra, Ghana
| | - Benjamin Abaidoo
- Ophthalmology Unit, Department of Surgery, University of Ghana Medical School, Accra, Ghana
| | - Agb Amoah
- Department of Medicine and Tharapeutics, University of Ghana Medical School, Accra, Ghana.,National Diabetes Management and Research Centre, Korle Bu Teaching Hospital, Accra, Ghana
| | - Thomas Ndanu
- Department of Preventive and Community Dentistry, University of Ghana Dental School, Accra, Ghana
| | | | - N A Barnes
- Eye Department, Cape Coast Teaching Hospital, Accra, Ghana
| | | | - Winfried M Amoaku
- Ophthalmology and Visual Sciences (DCN), Faculty of Medicine and Health Sciences, School of Clinical Sciences, University Hospital, Nottingham, United Kingdom
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16
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Miravet-Jiménez S, Pérez-Unanua M, Alonso-Fernández M, Escobar-Lavado F, González-Mohino Loro B, Piera-Carbonell A. Manejo de la diabetes mellitus tipo 2 en adolescentes y adultos jóvenes en atención primaria. Semergen 2020; 46:415-424. [DOI: 10.1016/j.semerg.2019.11.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 11/04/2019] [Accepted: 11/05/2019] [Indexed: 12/20/2022]
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17
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Arora M, Mathur C, Rawal T, Bassi S, Lakshmy R, Nazar G, Gupta V, Park M, Kinra S. Socioeconomic differences in prevalence of biochemical, physiological, and metabolic risk factors for non-communicable diseases among urban youth in Delhi, India. Prev Med Rep 2018; 12:33-39. [PMID: 30155404 PMCID: PMC6111063 DOI: 10.1016/j.pmedr.2018.08.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 07/15/2018] [Accepted: 08/07/2018] [Indexed: 11/19/2022] Open
Abstract
This study examined whether the distribution of biochemical, physiological, and metabolic risk factors for non-communicable diseases (NCDs) among children and youth in urban India vary by socioeconomic status (SES). Data were derived from a cross-sectional survey of students enrolled in the 2nd and 11th grades in 19 randomly selected schools in Delhi (N = 1329) in 2014-15. Mixed-effect regression models were used to determine the prevalence of risk factors for NCDs among private (higher SES) and government (lower SES) school students. After adjusting for age, gender, and grade we found the percentage of overweight (13.16% vs. 3.1%, p value < 0.01) and obese (8.7% vs. 0.3%, p value < 0.01) students was significantly higher among private relative to government school students. Similarly, significantly higher percentage of private school students had higher waist circumference values (7.72% vs. 0.58%, p value < 0.01) than government school students. Furthermore, similar trend was observed across schools in the distribution of other NCD risk factors: raised blood pressure, raised total cholesterol, and low-density lipoprotein. Surprisingly, despite a higher prevalence of all risk factors, significantly higher percentage of private school students had adequate/ideal levels of high-density lipoprotein. Overall, the risk profile of private school students suggests they are more vulnerable to future NCDs.
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Affiliation(s)
- M. Arora
- Health Promotion Division, Public Health Foundation of India, Plot no. 47, Sector 44, Institutional Area Gurgaon, Haryana 122002, India
| | - C. Mathur
- Indian Institute of Health Management and Research University, Jaipur, Rajasthan 302029, India
| | - T. Rawal
- Health Promotion Division, Public Health Foundation of India, Plot no. 47, Sector 44, Institutional Area Gurgaon, Haryana 122002, India
| | - S. Bassi
- Health Promotion Division, Public Health Foundation of India, Plot no. 47, Sector 44, Institutional Area Gurgaon, Haryana 122002, India
| | - R. Lakshmy
- Department of Bio-chemistry, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
| | - G.P. Nazar
- Health Promotion Division, Public Health Foundation of India, Plot no. 47, Sector 44, Institutional Area Gurgaon, Haryana 122002, India
| | - V.K. Gupta
- Health Promotion Division, Public Health Foundation of India, Plot no. 47, Sector 44, Institutional Area Gurgaon, Haryana 122002, India
| | - M.H. Park
- Department of Health Services Research and Policy, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, UK
| | - S. Kinra
- Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, UK
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18
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Arslanian S, Bacha F, Grey M, Marcus MD, White NH, Zeitler P. Evaluation and Management of Youth-Onset Type 2 Diabetes: A Position Statement by the American Diabetes Association. Diabetes Care 2018; 41:2648-2668. [PMID: 30425094 PMCID: PMC7732108 DOI: 10.2337/dci18-0052] [Citation(s) in RCA: 192] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Silva Arslanian
- Division of Pediatric Endocrinology, Metabolism, and Diabetes Mellitus, University of Pittsburgh, Pittsburgh, PA
- Center for Pediatric Research in Obesity and Metabolism, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA
| | - Fida Bacha
- Children's Nutrition Research Center, Texas Children's Hospital and Baylor College of Medicine, Houston, TX
| | - Margaret Grey
- Yale School of Nursing, New Haven, CT
- Yale School of Medicine, New Haven, CT
| | | | - Neil H White
- Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Philip Zeitler
- Children's Hospital Colorado and University of Colorado School of Medicine, Aurora, CO
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19
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Pandey U, Midha T, Rao YK, Katiyar P, Wal P, Kaur S, Martolia DS. Anthropometric indicators as predictor of pre-diabetes in Indian adolescents. Indian Heart J 2017; 69:474-479. [PMID: 28822514 PMCID: PMC5560888 DOI: 10.1016/j.ihj.2017.06.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Revised: 05/20/2017] [Accepted: 06/14/2017] [Indexed: 01/20/2023] Open
Abstract
Introduction In India, there are approximately 41 million diabetics to date. Impaired glucose tolerance or pre-diabetes may occur as early as adolescence. Objective To find out the cut-off values of body mass index (BMI) and waist circumference to predict pre-diabetes in adolescents in north India. Methods A cross-sectional study was conducted among 526 students aged 17–19 years, in the Institute of Paramedical Sciences, Chatrapati Shahuji Maharaj University, Kanpur. A pre-tested questionnaire was used and the diagnostic criteria of the American Diabetic Association were applied. Receiver operating characteristic(ROC) analysis was used to assess the cut-offs of BMI and waist circumference for predicting prediabetes. Results ROC analysis showed that BMI is a good predictor of prediabetes for both boys and girls.Area under the ROC curve was 0.828 for boys and 0.838 for girls, respectively. The cut-off values of BMI for predicting prediabetes were identified as ≥22.8 kg/m2 in boys and ≥20.5 kg/m2 in girls. Upon ROC analysis for waist circumference, it was observed that it was a good predictor of prediabetes both for boys (area under the curve 0.804) and girls (area under the curve 0.795). The cut-offs for waist circumference for predicting prediabetes were found to be ≥82.5 cm for boys and ≥80.3 cm for girls. Conclusion BMI and waist circumference estimation can be done for early detection of prediabetes in adolescents for further diagnostic evaluation and management.
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Affiliation(s)
| | - Tanu Midha
- Department of Community Medicine, Government Medical College, Kannauj, Uttar Pradesh, India.
| | - Yashwant Kumar Rao
- Department of Pediatrics, GSVM Medical College, Kanpur, Uttar Pradesh, India
| | - Pravin Katiyar
- University Institute of Medical Sciences, CSJM University Kanpur, India
| | | | - Samarjeet Kaur
- Department of Community Medicine, Government Medical College, Kannauj, Uttar Pradesh, India
| | - Dinesh Singh Martolia
- Department of Community Medicine, Government Medical College, Kannauj, Uttar Pradesh, India
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20
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Reddy S, Amutha A, Rajalakshmi R, Bhaskaran R, Monickaraj F, Rangasamy S, Anjana RM, Abhijit S, Gokulakrishnan K, Das A, Mohan V, Balasubramanyam M. Association of increased levels of MCP-1 and cathepsin-D in young onset type 2 diabetes patients (T2DM-Y) with severity of diabetic retinopathy. J Diabetes Complications 2017; 31:804-809. [PMID: 28336215 DOI: 10.1016/j.jdiacomp.2017.02.017] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2016] [Revised: 01/25/2017] [Accepted: 02/13/2017] [Indexed: 02/08/2023]
Abstract
AIM Young onset type 2 diabetes patients (T2DM-Y) have been shown to possess an increased risk of developing microvascular complications particularly diabetic retinopathy. However, the molecular mechanisms are not clearly understood. In this study, we investigated the serum levels of monocyte chemotactic protein 1 (MCP-1) and cathepsin-D in patients with T2DM-Y without and with diabetic retinopathy. METHODS In this case-control study, participants comprised individuals with normal glucose tolerance (NGT=40), patients with type 2 diabetes mellitus (T2DM=35), non-proliferative diabetic retinopathy (NPDR=35) and proliferative diabetic retinopathy (PDR=35). Clinical characterization of the study subjects was done by standard procedures and MCP-1 and cathepsin-D were measured by ELISA. RESULTS Compared to control individuals, patients with T2DM-Y, NPDR and PDR exhibited significantly (p<0.001) higher levels of MCP-1. Cathepsin-D levels were also significantly (p<0.001) higher in patients with T2DM-Y without and with diabetic retinopathy. Correlation analysis revealed a positive association (p<0.001) between MCP-1 and cathepsin-D levels. There was also a significant negative correlation of MCP1/cathepsin-D with C-peptide levels. The association of increased levels of MCP-1/cathepsin-D in patients with DR persisted even after adjusting for all the confounding factors. CONCLUSION As both MCP-1 and cathepsin-D are molecular signatures of cellular senescence, we suggest that these biomarkers might be useful to predict the development of retinopathy in T2DM-Y patients.
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Affiliation(s)
- Sruthi Reddy
- Department of Cell and Molecular Biology and Dr. Rema Mohan High-Throughput Screening (HTS) Lab, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai 600086, India
| | - Anandakumar Amutha
- Department of Cell and Molecular Biology and Dr. Rema Mohan High-Throughput Screening (HTS) Lab, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai 600086, India
| | - Ramachandran Rajalakshmi
- Department of Cell and Molecular Biology and Dr. Rema Mohan High-Throughput Screening (HTS) Lab, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai 600086, India
| | - Regin Bhaskaran
- Department of Cell and Molecular Biology and Dr. Rema Mohan High-Throughput Screening (HTS) Lab, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai 600086, India
| | - Finny Monickaraj
- Department of Surgery and Department of Cell Biology and Physiology, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Sampathkumar Rangasamy
- Neurogenomics Division, Translational Genomics Research Institute, (TGen), Phoenix, AZ, USA
| | - Ranjit Mohan Anjana
- Department of Cell and Molecular Biology and Dr. Rema Mohan High-Throughput Screening (HTS) Lab, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai 600086, India
| | - Shiny Abhijit
- Department of Cell and Molecular Biology and Dr. Rema Mohan High-Throughput Screening (HTS) Lab, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai 600086, India
| | - Kuppan Gokulakrishnan
- Department of Cell and Molecular Biology and Dr. Rema Mohan High-Throughput Screening (HTS) Lab, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai 600086, India
| | - Arup Das
- Department of Surgery and Department of Cell Biology and Physiology, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Viswanathan Mohan
- Department of Cell and Molecular Biology and Dr. Rema Mohan High-Throughput Screening (HTS) Lab, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai 600086, India
| | - Muthuswamy Balasubramanyam
- Department of Cell and Molecular Biology and Dr. Rema Mohan High-Throughput Screening (HTS) Lab, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai 600086, India..
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Abstract
Adolescence is the period in human growth and development that occurs after childhood and before adulthood, from ages 10 to 19 years. It is a period of dynamic brain development. During this period, adolescents learn from the social behavior and environmental surroundings of their community. Because of rapid urbanization without accounting for the basic health-care amenities, health disparities tend to arise. In this review, we have tried to describe the health profile of adolescents in urban India. Relevant articles were extracted from PubMed and related websites. Adolescents in urban areas perceive their physical environment as very poor. Social capital and social cohesion are very important in their development. Increasing child marriage and poor antenatal care among adolescents are key challenges in improving the reproductive and sexual health. More than half of adolescents are undernourished. About 56% of adolescent girls are anemic. At this time of fighting against under-nutrition, burden of overweight and obesity is increasing among the urban adolescents. Mass media use and increased sedentary lifestyle increase the risk factors for noncommunicable diseases. Labile mental and emotional behavior makes them prone to suicide and intentional self-harm. Another avoidable key challenge among adolescents is addiction. Urban living and regular media exposure are positively associated with smoking and alcohol consumption. Among unintentional injuries, road traffic accidents dominate the picture. Various health programs targeting adolescent health have been launched in the recent past.
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Affiliation(s)
- S Ramadass
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Sanjeev Kumar Gupta
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Baridalyne Nongkynrih
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
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22
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Amutha A, Anjana RM, Venkatesan U, Ranjani H, Unnikrishnan R, Narayan KMV, Mohan V, Ali MK. Incidence of complications in young-onset diabetes: Comparing type 2 with type 1 (the young diab study). Diabetes Res Clin Pract 2017; 123:1-8. [PMID: 27912129 DOI: 10.1016/j.diabres.2016.11.006] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Revised: 10/06/2016] [Accepted: 11/14/2016] [Indexed: 10/20/2022]
Abstract
BACKGROUND There is little data on the incidence of diabetes complications in young onset type 1 diabetes (T1DM) and type 2 diabetes (T2DM) in non European populations. METHODS From a tertiary diabetes centre, Chennai, India, we recruited 108 T1DM (defined by abrupt onset of symptoms or diabetic ketoacidosis, absent insulin reserve requiring insulin treatment) and 90 T2DM participants (defined by absence of ketosis, good beta-cell reserve, and good response to oral agents) who were diagnosed between the ages of 10 and 25years, and without any evidence of diabetes complications at diagnosis. We estimated the incidence of various complications (median follow up of five years); retinopathy was defined by presence of at least one definite microaneurysm by retinal photography, nephropathy by urinary albumin excretion ⩾30μg/mg of creatinine, neuropathy by vibration perception threshold ⩾20V on biothesiometry, peripheral vascular disease by an ankle-brachial index <0.9, and ischemic heart disease (IHD) by history of myocardial infarction or coronary revascularization or Q waves on ECG or on drug treatment for IHD. RESULTS The mean ages at diagnosis of T1DM and T2DM participants were 17.1±4.2vs. 21.6±3.6years respectively. The incidence of various complications reported in numbers/1000 person years of follow up of T1DM and T2DM were: retinopathy 77.4vs. 78.0/1000 person years, nephropathy, 62.0vs. 58.8, neuropathy 7.8 vs. 13.9 and ischemic heart disease 1.2vs. 5.4. In Cox regression analysis, after adjustment for age, glycated hemoglobin, systolic blood pressure and serum cholesterol, T2DM participants had 2.11 times (95%CI: 1.27-3.51) higher risk of developing any diabetes complication, compared to T1DM. CONCLUSIONS Young-onset T2DM have a more aggressive disease course than T1DM.
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Affiliation(s)
- Anandakumar Amutha
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, Gopalapuram, Chennai, India
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, Gopalapuram, Chennai, India
| | - Ulagamathesan Venkatesan
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, Gopalapuram, Chennai, India
| | - Harish Ranjani
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, Gopalapuram, Chennai, India
| | - Ranjit Unnikrishnan
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, Gopalapuram, Chennai, India
| | - K M V Narayan
- Emory Global Diabetes Research Center, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, Gopalapuram, Chennai, India. http://www.drmohansdiabetes.com
| | - Mohammed K Ali
- Emory Global Diabetes Research Center, Rollins School of Public Health, Emory University, Atlanta, USA
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23
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Chidambaram M, Liju S, Saboo B, Sathyavani K, Viswanathan V, Pankratz N, Gross M, Mohan V, Radha V. Replication of genome-wide association signals in Asian Indians with early-onset type 2 diabetes. Acta Diabetol 2016; 53:915-923. [PMID: 27488727 DOI: 10.1007/s00592-016-0889-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Accepted: 07/12/2016] [Indexed: 01/22/2023]
Abstract
AIMS To evaluate the association of 87 genetic variants previously associated with type 2 diabetes mellitus (T2DM) in genome-wide association studies of populations of European ancestry in an Asian Indian population with early-onset type 2 diabetes mellitus (EOT2DM). METHODS The study groups comprised of 877 type 2 diabetes individuals, 436 individuals with EOT2DM (age at diagnosis below 35 years), 441 individuals with older T2DM (diagnosis at 35 years or greater) and controls with normal glucose tolerance (NGT) (n = 400 younger than 35 years; n = 438 older than 35 years). The participants were genotyped for 87 SNPs from 44 genes and 27 intergenic loci. Associations were tested using logistic regression. RESULTS All the variants in TCF7L2 and CDKN2A/2B showed study-wide significance (p < 1.4 × 10-4) with T2DM, but only rs7903146, rs12243326, rs12255372 of TCF7L2 and rs7020996 of CDKN2A/2B showed study-wide significance (p < 1.4 × 10-4) with EOT2DM in this population. In addition, an intergenic SNP on chromosome 1 (rs10493685) was also shown to be study-wide significant (p = 7.1 × 10-6). Several additional SNPs previously associated with T2DM reached borderline significance in this study, but may have been limited by relatively low sample numbers. Various other SNPs of T2DM were not associated with EOT2DM. CONCLUSIONS Some of the variants in TCF7L2 and CDKN2A/2B associated with T2DM are associated with EOT2DM as well. An intergenic SNP on chromosome 1p31 showed association only with early-onset T2DM in this Asian Indian population. The lack of association with many other SNPs of T2DM may be a reflection of the lack of power of the study, sample size, differences in the frequencies of genetic polymorphisms in different ethnic groups, effect sizes, as well as ancestral differences in pattern of LD between the genetic variants involved in early- and late-onset T2DM.
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Affiliation(s)
- Manickam Chidambaram
- Madras Diabetes Research Foundation, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
- Division of Cardiovascular Research, Sidra Medical and Research Center, Doha, Qatar
| | - Samuel Liju
- Madras Diabetes Research Foundation, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Banshi Saboo
- Diabetologist and Endocrine and Metabolic Physician at Diabetes Care and Hormone Clinic, Ahmedabad, Gujarat, India
| | - Kumpatla Sathyavani
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre, Chennai, Tamil Nadu, India
| | - Vijay Viswanathan
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre, Chennai, Tamil Nadu, India
| | - Nathan Pankratz
- Department of Laboratory Medicine Pathology, Medical School University of Minnesota, Minneapolis, MN, USA
| | - Myron Gross
- Department of Laboratory Medicine Pathology, Medical School University of Minnesota, Minneapolis, MN, USA
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
- Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre of Education, Chennai, India
| | - Venkatesan Radha
- Madras Diabetes Research Foundation, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India.
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24
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Praveen PA, Madhu SV, Mohan V, Das S, Kakati S, Shah N, Chaddha M, Bhadada SK, Das AK, Shukla DK, Kaur T, Tandon N. Registry of Youth Onset Diabetes in India (YDR): Rationale, Recruitment, and Current Status. J Diabetes Sci Technol 2016; 10:1034-41. [PMID: 27179010 PMCID: PMC5032954 DOI: 10.1177/1932296816645121] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND With the aim of addressing the relative scarcity of information on youth-onset diabetes in India, the Indian Council of Medical Research (ICMR) decided to establish the Registry of People with Diabetes with Young Age at Onset (YDR) in 2006. The major objectives of YDR are to generate information on disease pattern or types of youth-onset diabetes including their geographical variations within India and to estimate the burden of diabetes complications. METHODS YDR is an observational multicenter clinic based registry enlisting physician diagnosed diabetes in individuals below 25 years of age. Diabetes was classified using symptom based clinical criteria. YDR data collection is coordinated through regional collaborating centers and their interacting reporting centers across India. A baseline and an annual follow-up proformas are used to obtain information on sociodemographic details, clinical profile, and anthropometric and laboratory measurements of the patients. RESULTS In phase 1, the registry has enrolled 5546 patients, in which type 1 diabetes mellitus (T1DM) was the most prevalent (63.9%), followed by youth-onset type 2 diabetes mellitus (T2DM) (25.3%). CONCLUSION This registry provides a unique opportunity to study the natural history of youth-onset diabetes in India.
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Affiliation(s)
| | | | | | | | | | - Nalini Shah
- Seth G S Medical College & K.E.M. Hospital, Mumbai, India
| | - Manoj Chaddha
- PD Hinduja Hospital and Medical Research Centre, Mumbai, India
| | | | - Ashok Kumar Das
- Pondicherry Institute of Medical Sciences, Puducherry, India
| | | | - Tanvir Kaur
- Indian Council of Medical Research, New Delhi, India
| | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
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25
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Jevalikar G, Kohli C, Bansal B, Mishra SK, Wasir JS, Singh S, Ahuja JK, Kaur P, Farooqui KJ, Mithal A. Childhood and Youth Onset Diabetes: A Single Centre Experience. Indian J Pediatr 2016; 83:792-8. [PMID: 26816135 DOI: 10.1007/s12098-015-2009-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Accepted: 12/23/2015] [Indexed: 12/16/2022]
Abstract
OBJECTIVES To identify proportion of various types of diabetes and differences between type 1 and type 2 diabetes in patients with youth onset diabetes (onset below 25 completed years of age). In addition, concurrent autoimmune diseases in type 1 diabetes were studied in a subset of patients. METHODS A total of 577 patients (192 girls) with diabetes onset at median age of 14 y (range 1 mo-25 y) with median duration of 1 y (range day of diagnosis- 43 y) were included. Clinical details, investigations and complications were recorded in a proforma. Diabetes was classified using clinical criteria supported by laboratory tests of C peptide and anti GAD-65 antibody in a subset of patients. RESULTS Type 1 diabetes accounted for 368/421 (87.4 %) patients with age of onset <18 y and 99/156 (63.5 %) of patients with onset between 19 and 25 y of age. Proportion of type 2 diabetes was 36/421 (8.5 %) and 41/156 (26.2 %) in these two groups. Older age at onset, diabetes in one or both parents, absence of ketosis /weight loss and presence of acanthosis were significant predictors of type 2 diabetes. Hypothyroidism (TSH >10) and biopsy proven celiac disease was found in 11.6 and 9.7 % of type 1 diabetes patients respectively. CONCLUSIONS Type 1 diabetes is the most common type of diabetes in youth, however, a significant proportion of youth have type 2 diabetes. In these patients a combination of clinical factors, biochemical parameters and course over few months helps to guide the diagnosis.
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Affiliation(s)
- Ganesh Jevalikar
- Division of Endocrinology and Diabetes, Medanta The Medicity, Sector 38, Gurgaon, Haryana, 122 001, India.
| | - Chhavi Kohli
- Division of Endocrinology and Diabetes, Medanta The Medicity, Sector 38, Gurgaon, Haryana, 122 001, India
| | - Beena Bansal
- Division of Endocrinology and Diabetes, Medanta The Medicity, Sector 38, Gurgaon, Haryana, 122 001, India
| | - Sunil Kumar Mishra
- Division of Endocrinology and Diabetes, Medanta The Medicity, Sector 38, Gurgaon, Haryana, 122 001, India
| | - Jasjeet Singh Wasir
- Division of Endocrinology and Diabetes, Medanta The Medicity, Sector 38, Gurgaon, Haryana, 122 001, India
| | - Shweta Singh
- Division of Endocrinology and Diabetes, Medanta The Medicity, Sector 38, Gurgaon, Haryana, 122 001, India
| | - Jasmine Kaur Ahuja
- Division of Endocrinology and Diabetes, Medanta The Medicity, Sector 38, Gurgaon, Haryana, 122 001, India
| | - Parjeet Kaur
- Division of Endocrinology and Diabetes, Medanta The Medicity, Sector 38, Gurgaon, Haryana, 122 001, India
| | - Khalid J Farooqui
- Division of Endocrinology and Diabetes, Medanta The Medicity, Sector 38, Gurgaon, Haryana, 122 001, India
| | - Ambrish Mithal
- Division of Endocrinology and Diabetes, Medanta The Medicity, Sector 38, Gurgaon, Haryana, 122 001, India
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Amutha A, Mohan V. Diabetes complications in childhood and adolescent onset type 2 diabetes-a review. J Diabetes Complications 2016; 30:951-7. [PMID: 26970673 DOI: 10.1016/j.jdiacomp.2016.02.009] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2015] [Revised: 01/09/2016] [Accepted: 02/07/2016] [Indexed: 12/15/2022]
Abstract
Diabetes mellitus is one of the most common endocrine disorders in children. Earlier, diabetes in children was almost exclusively type 1 diabetes. Recently, the scenario has changed and increasing numbers of children and adolescent T2DM are being diagnosed. As the epidemic of T2DM shifts to children and adolescents, there is an increased risk of development of micro and macrovascular complications. This could potentially affect the economy of the nation apart from posing a large burden to the individual and his or her family. Prevention and treatment are especially important, given the fact that onset at an early age increases the risk of developing micro and macrovascular complications due to increased duration of exposure to hyperglycemia and other metabolic abnormalities. Diagnosing children and adolescents with T2DM early and instituting good control of all risk factors could yield good results in the prevention of long term complications of diabetes. This review focuses on the prevalence of complications of diabetes among children and adolescents with T2DM.
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Affiliation(s)
- Anandakumar Amutha
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, Gopalapuram, Chennai, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, Gopalapuram, Chennai, India.
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Pradeepa R, Anjana RM, Joshi SR, Bhansali A, Deepa M, Joshi PP, Dhandania VK, Madhu SV, Rao PV, Geetha L, Subashini R, Unnikrishnan R, Shukla DK, Kaur T, Mohan V, Das AK. Authors' response. Indian J Med Res 2016; 143:374-5. [PMID: 27241655 PMCID: PMC4892088 DOI: 10.4103/0971-5916.182632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Affiliation(s)
- Rajendra Pradeepa
- Department of Epidemiology & Diabetology, Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Ranjit Mohan Anjana
- Department of Epidemiology & Diabetology, Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | | | - Anil Bhansali
- Department of Endocrinology, Postgraduate Institute of Medical Education & Research, Chandigarh, India
| | - Mohan Deepa
- Department of Epidemiology & Diabetology, Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Prashant P Joshi
- Department of Medicine, Indira Gandhi Government Medical College, Nagpur, India
| | | | - Sri Venkata Madhu
- Department of Medicine, University College of Medical Sciences & GTB Hospital, Delhi, India
| | - Paturi Vishnupriya Rao
- Department of Endocrinology & Metabolism, Nizam's Institute of Medical Sciences, Hyderabad, India
| | - Loganathan Geetha
- Department of Epidemiology & Diabetology, Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Radhakrishnan Subashini
- Department of Epidemiology & Diabetology, Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Ranjit Unnikrishnan
- Department of Epidemiology & Diabetology, Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Deepak Kumar Shukla
- Division of Non Communicable Diseases, Indian Council of Medical Research, New Delhi, India
| | - Tanvir Kaur
- Division of Non Communicable Diseases, Indian Council of Medical Research, New Delhi, India
| | - Viswanathan Mohan
- Department of Epidemiology & Diabetology, Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Ashok Kumar Das
- Department of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, India
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Sosale B, Sosale AR, Mohan AR, Kumar PM, Saboo B, Kandula S. Cardiovascular risk factors, micro and macrovascular complications at diagnosis in patients with young onset type 2 diabetes in India: CINDI 2. Indian J Endocrinol Metab 2016; 20:114-118. [PMID: 26904479 PMCID: PMC4743371 DOI: 10.4103/2230-8210.172277] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
CONTEXT Type 2 diabetes mellitus (T2DM) in young adults is increasing in India. Data on the prevalence of cardiovascular (CV) risk factors and complications associated with young-onset T2DM (YOD) at the time of diagnosis of diabetes are limited. This data can aid in aggressive diabetes management, CV risk reduction, and prevention of complications. AIM To determine the prevalence of CV risk factors, micro and macrovascular complications in patients with newly diagnosed YOD. To assess the percentage of patients who require statin therapy based on current American Diabetes Association (ADA) guidelines. SETTINGS AND DESIGN This was a retrospective cross-sectional study of 1500 patients with newly detected YOD across seven centers from 2013 to 2015. DESIGNS AND METHODS Patients were evaluated for complications of diabetes and CV risk factors such as body mass index (BMI), hypertension, dyslipidemia, and smoking. STATISTICAL ANALYSIS Measurements have been presented as mean ± standard deviation; results on categorical measurements have been presented in percentages. RESULTS The mean age, glycated hemoglobin and BMI were 34.7 ± 4.2 years, 9.9 ± 2.4%, and 26.8 ± 4.7 kg/m(2). Hypertension, dyslipidemia, BMI >23 kg/m(2), and smoking were presented in 27.6%, 62.4%, 84.2%, and 24%. Diabetic retinopathy, neuropathy, and nephropathy were seen in 5.1%, 13.2%, and 0.9%. Ischemic heart disease, peripheral vascular disease, and stroke were presented in 0.7%, 2%, and 0.1%. As per current guidelines, 95.33% needed statin therapy. CONCLUSION This study demonstrates that patients with YOD have micro and macrovascular complications at diagnosis. Nearly, every patient required a statin to reduce CV risk. This highlights the importance of screening patients with YOD for CV risk factors and complications of diabetes at the time of diagnosis.
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Affiliation(s)
| | | | - Anjana R. Mohan
- Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India
| | | | - Banshi Saboo
- Diabetes and Hormones Centre, Ahmedabad, Gujarat, India
| | - Sai Kandula
- Diabetes Hospital, Rajahmundry, Andhra Pradesh, India
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Abstract
PURPOSE OF REVIEW The purpose of this study was to review the epidemiology and pathogenesis of diabetes in Asian Indians with a particular focus on 'Asian Indian type 2 diabetes phenotype'. RECENT FINDINGS The prevalence of diabetes is rapidly increasing among Asian Indians, particularly in the past two decades. The diabetes rates in urban India now exceed that seen in Indians migrated to developed nations. Urbanization, changes from traditional healthier diets to high-refined carbohydrate intake, and sedentary lifestyle have contributed to this steep increase in the prevalence of diabetes in India. Type 2 diabetes among Asian Indians is characterized by onset at a younger age, greater abdominal obesity despite relatively lower BMI, greater insulin resistance, and early decline in beta cell function. Asian Indians are also at a higher risk for premature coronary artery disease. SUMMARY The clinical profile of type 2 diabetes in Asian Indians differs from Caucasians with higher central obesity, increased inflammatory markers such as high sensitive C-reactive protein, greater insulin resistance, early loss of beta cell function, and a higher risk of coronary artery disease. Mechanistic studies are needed to characterize the pathophysiology of the Asian Indian phenotype.
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Affiliation(s)
- Viral N Shah
- aBarbara Davis Center for Diabetes, University of Colorado Anschutz Campus, Aurora, Colorado, USA bMadras Diabetes Research Foundation and Dr Mohan's Diabetes Specialties Centre, Chennai, India *Viral N. Shah and Viswanathan Mohan contributed equally to the writing of this article
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Gokulakrishnan K, Manokaran K, Pandey GK, Amutha A, Ranjani H, Anjana RM, Mohan V. Relationship of betatrophin with youth onset type 2 diabetes among Asian Indians. Diabetes Res Clin Pract 2015; 109:71-6. [PMID: 25981323 DOI: 10.1016/j.diabres.2015.04.028] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2014] [Revised: 03/23/2015] [Accepted: 04/27/2015] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND AIMS Betatrophin is emerging as a marker for compensatory beta cell proliferation. While betatrophin has been mainly investigated in adults, there is a lack of data on betatrophin levels in youth-onset type 2 diabetes mellitus (T2DM-Y). The aim of this study was to determine levels of betatrophin and its association with T2DM-Y in Asian Indian participants. METHODS We recruited 100 individuals with normal glucose tolerance (NGT; n=50) and newly-diagnosed cases (within 18 months of first diagnosis) of T2DM-Y (n=50) with onset between 12 and 24 years of age from a large tertiary diabetes center in Chennai in southern India. Insulin resistance was measured by homeostatic model (HOMA-IR) and insulin secretion by oral disposition index (DIO). Betatrophin levels were measured by enzyme-linked immunosorbent assay. RESULTS Betatrophin levels were significantly lower in the T2DM-Y group compared with the NGT group (803 vs 1104 pg/ml, p<0.001). Betatrophin showed a significant inverse correlation with waist circumference (p=0.035), HOMA-IR (p<0.001), fasting and 2 h postprandial glucose (p<0.01), glycated hemoglobin (p=0.019) and a positive correlation with fasting C-peptide (p<0.001) and DIO (p=0.012). In regression analysis, betatrophin was independently associated with T2DM-Y even after adjustment for age, gender, and waist circumference (OR per standard deviation: 0.562, 95% CI: 0.342-0.899, p=0.019). However, the association was lost when HOMA-IR was included in the model (OR: 1.141, 95% CI: 0.574-2.249; p=0.646). CONCLUSION Betatrophin levels are lower in T2DM-Y and this association is likely mediated through insulin resistance.
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Affiliation(s)
- Kuppan Gokulakrishnan
- Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai 600086, India.
| | - Kalaivani Manokaran
- Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai 600086, India
| | - Gautam Kumar Pandey
- Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai 600086, India
| | - Anandakumar Amutha
- Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai 600086, India
| | - Harish Ranjani
- Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai 600086, India
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai 600086, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai 600086, India
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Ke C, Sohal P, Qian H, Quan H, Khan NA. Diabetes in the young: a population-based study of South Asian, Chinese and White people. Diabet Med 2015; 32:487-96. [PMID: 25472769 DOI: 10.1111/dme.12657] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/01/2014] [Indexed: 12/16/2022]
Abstract
AIMS Rates of diabetes mellitus in the young have not been quantified on a population level, particularly in South Asian and Chinese populations, which bear high rates of diabetes. We determined the incidence of diabetes (Type 2 diabetes and diabetes using insulin only) and rates of hospitalizations among South Asian, Chinese and White people aged 5-29 years with newly diagnosed diabetes. METHODS People with newly diagnosed diabetes (1997-2006) in British Columbia, Canada were identified using population-based administrative data and pharmacy databases. Age-standardized incidence rates were calculated for people with diabetes prescribed insulin only and those with Type 2 diabetes. They were followed for up to 8 years for all hospitalizations and diabetes-related complications. RESULTS There were 712 South Asians, 498 Chinese and 6176 White people aged 5-29 years with diabetes. Most youth with diabetes had Type 2 diabetes (South Asian 86.4%; Chinese 87.1% and White 61.8%). The incidence of diabetes on insulin only was highest in White people compared with the other groups. The incidence of Type 2 diabetes was highest in South Asians, particularly in 20-29-year-olds, with rates 2.2 times that of White people and 3.1 times that of Chinese people. Hospitalization and diabetes-related complications were uncommon in all groups. CONCLUSION The incidence of Type 2 diabetes is higher than previously estimated among youth and is now surpassing diabetes on insulin only. Significant reductions in Type 2 diabetes screening ages in South Asians need to be considered and prevention efforts are urgently required in childhood and adolescence. Global estimates need to consider the epidemic of Type 2 diabetes in the young.
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Affiliation(s)
- C Ke
- Department of Medicine, University of British Columbia, Vancouver, Canada
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Oya J, Vistisen D, Christensen DL, Faurholt-Jepsen D, Mohan V, Ramachandran A, Chew SKH, Shaw JE, Jørgensen ME. Geographic differences in the associations between impaired glucose regulation and cardiovascular risk factors among young adults. Diabet Med 2015; 32:497-504. [PMID: 25523878 DOI: 10.1111/dme.12674] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/11/2014] [Indexed: 01/26/2023]
Abstract
AIMS To assess geographic differences in the association between BMI, blood pressure and lipid levels with impaired glucose regulation among young adults from various geographical regions. METHODS This was a cross-sectional study including data from 6987 participants aged ≤ 30 years from India, Singapore, Australia, Greenland, Kenya and Tanzania. Impaired glucose regulation was determined by the 75-g oral glucose tolerance test. For each geographical region, BMI, blood pressure and lipids were examined and compared between participants with normal glucose tolerance and those with impaired glucose regulation. Multiple logistic regression models were used to assess the association between risk factors and impaired glucose regulation. RESULTS Indian and East African people had a higher prevalence of impaired glucose regulation compared with participants from other regions, despite their lower BMI. Compared with the other regions, blood pressure was lower among Indian and Singaporean people but higher in those from Greenland. Greenlanders had the highest, while Indian and East-African people, had the lowest level of HDL cholesterol. BMI was positively associated with impaired glucose regulation in all regions, and there were no statistically significant geographic differences. In the Indian, Singaporean and Australian participants, there was a positive association between blood pressure and impaired glucose regulation. Triglycerides were positively associated with and HDL cholesterol had no association with impaired glucose regulation in all geographical regions. CONCLUSIONS Higher BMI and triglyceride levels were positively associated with prevalent impaired glucose regulation in all geographical regions. There were geographic differences in the association between impaired glucose regulation and blood pressure and lipids, probably reflecting environmental and genetic factors.
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Affiliation(s)
- J Oya
- Steno Diabetes Center, Gentofte, Denmark
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Rajalakshmi R, Amutha A, Ranjani H, Ali MK, Unnikrishnan R, Anjana RM, Narayan KMV, Mohan V. Prevalence and risk factors for diabetic retinopathy in Asian Indians with young onset type 1 and type 2 diabetes. J Diabetes Complications 2014; 28:291-7. [PMID: 24512748 DOI: 10.1016/j.jdiacomp.2013.12.008] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2013] [Revised: 11/29/2013] [Accepted: 12/23/2013] [Indexed: 11/22/2022]
Abstract
AIM To assess the prevalence and risk factors for diabetic retinopathy (DR) in people with young onset type 1 (T1DM-Y) and type 2 diabetes (T2DM-Y). METHODS T1DM-Y(n=150) and T2DM-Y(n=150) participants, age between 10 and 25 years at diagnosis, had a complete clinical evaluation, biochemical assessment, and four field digital retinal colour photography. The Early Treatment Diabetic Retinopathy Study grading system was used to grade DR. Proliferative diabetic retinopathy (PDR) and diabetic macular edema (DME) were considered as sight threatening DR. RESULTS The prevalence of any DR was 53.3% [95% CI 45.3-61.3] in T1DM-Y (duration of diabetes: 12.4±7.4 years) and 52.7% [44.7-60.7] in T2DM-Y (11.8±8.3 years). The age and gender adjusted prevalence of DR, DME and PDR was 62.5%, 10% and 7.3% in T1DM-Y, whereas it was 65.8%,12.7% and 9.3% in T2DM-Y respectively. In multivariable logistic regression, diabetes duration [Odds ratio (OR) 1.99 per 5 years; CI 1.42-2.79], waist circumference [1.28 per 5 cm;1.05-1.56] and microalbuminuria [2.39 per 50 μg;1.07-5.31] were associated with DR in T1DM-Y, and diabetes duration [2.21 per 5 years; 1.61-3.02], diastolic blood pressure [1.54 per 5 mmHg;1.18-2.02], Glycated hemoglobin [1.37 per %;1.07-1.75] and lower stimulated C-peptide [1.54 per 0.5 pmol/ml;1.15-2.05;] were associated with DR in T2DM-Y. CONCLUSION Over half of the people with young-onset diabetes, regardless of type, have retinopathy within 10-12 years of diabetes duration, emphasizing the need for regular eye screening and aggressive control of glucose and blood pressure to prevent DR.
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Affiliation(s)
- Ramachandran Rajalakshmi
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
| | - Anandakumar Amutha
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
| | - Harish Ranjani
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Ranjit Unnikrishnan
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
| | - K M Venkat Narayan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India.
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Gokulakrishnan K, Aravindhan V, Amutha A, Abhijit S, Ranjani H, Anjana RM, Unnikrishnan R, Miranda P, Narayan KV, Mohan V. Serum adiponectin helps to differentiate type 1 and type 2 diabetes among young Asian Indians. Diabetes Technol Ther 2013; 15:696-702. [PMID: 23902401 PMCID: PMC3746282 DOI: 10.1089/dia.2012.0306] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE This study assessed whether serum adiponectin could be used as a biochemical marker to differentiate type 1 diabetes mellitus (T1DM) from type 2 diabetes mellitus (T2DM) among young Asian Indians. RESEARCH DESIGN AND METHODS We recruited age- and sex-matched individuals with physician-diagnosed T1DM (n=70) and T2DM (n=72). All were 12-27 years of age with a duration of diabetes of >2 years, at a large tertiary-care diabetes center in Chennai, southern India. Age- and sex-matched individuals with normal glucose tolerance (NGT) (n=68) were selected from an ongoing population study. NGT was defined using World Health Organization criteria. Serum total adiponectin was measured by enzyme-linked immunosorbent assay. Receiver operating characteristic (ROC) curves were used to identify adiponectin cut points for discriminating T1DM from T2DM. RESULTS Adiponectin levels were higher in T1DM and lower in T2DM compared with the NGT group (9.89, 3.88, and 6.84 μg/mL, respectively; P<0.001). In standardized polytomous regression models, adiponectin was associated with T1DM (odds ratio [OR]=1.131 per SD; 95% confidence interval [CI], 1.025-1.249) and T2DM (OR=0.628 per SD; 95% CI, 0.504-0.721) controlled for age, gender, waist circumference, body mass index, hypertension, glycated hemoglobin, total cholesterol, serum triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, family history of T2DM, and estimated glomerular filtration rate. Using ROC analysis, an adiponectin cut point of 5.1 μg/mL had a C statistic of 0.886 (95% CI, 0.836-0.953), sensitivity of 80.6%, and specificity of 80.6% to differentiate T1DM from T2DM. Using the 5.1 μg/mL cut point, 80.6% of T1DM and 81.8% of T2DM would be correctly classified. CONCLUSIONS Serum adiponectin is a useful biochemical marker for differentiating T1DM and T2DM among young Asian Indians.
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Affiliation(s)
- Kuppan Gokulakrishnan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
| | - Vivekanandhan Aravindhan
- Laboratory of Molecular Immunology, Anna University-K.B. Chandrashekar Research Centre, Chennai, India
| | - Anandakumar Amutha
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
| | - Shiny Abhijit
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
| | - Harish Ranjani
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
| | - Ranjith Unnikrishnan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
| | - Priya Miranda
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
| | - K.M. Venkat Narayan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Gopalapuram, Chennai, India
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Mohan V, Amutha A, Ranjani H, Unnikrishnan R, Datta M, Anjana RM, Staimez L, Ali MK, Narayan KMV. Associations of β-cell function and insulin resistance with youth-onset type 2 diabetes and prediabetes among Asian Indians. Diabetes Technol Ther 2013; 15:315-22. [PMID: 23484483 DOI: 10.1089/dia.2012.0259] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
AIM This study examined β-cell function and insulin resistance (homeostasis model assessment-insulin resistance [HOMA-IR]) in Asian Indian youth with type 2 diabetes mellitus (T2DM-Y) and prediabetes. SUBJECTS AND METHODS Eighty-two subjects with non-insulin-requiring type 2 diabetes and age of onset below 25 years were recruited within 18 months of diagnosis and compared with age- and sex-matched subjects with prediabetes (n=31) and normal glucose tolerance (NGT) (n = 83). Body mass index (BMI) and waist circumference were measured, and blood samples were taken in the fasting state and after 30, 60, 90, and 120 min of an oral glucose load for assessment of plasma glucose and insulin levels. Insulin sensitivity/resistance measures was calculated by using the reciprocal of the fasting insulin, the HOMA-IR equation, and the composite whole body insulin sensitivity index (Matsuda Index), and β-cell function was calculated by the oral disposition index (DIo). RESULTS T2DM-Y and prediabetes subjects had higher BMI, waist circumference, and fasting insulin than NGT subjects (P<0.05 for each). The 30-min insulin levels were lower in T2DM-Y and higher in prediabetes subjects compared with NGT (57 and 140 vs. 129 μIU/mL, P<0.001). The T2DM-Y group had greater insulin resistance (HOMA-IR, 1.87 vs. 0.97; P<0.05) and lower β-cell function (DIo, 0.36 vs. 3.28; P<0.001) than NGT. In separate models, the Matsuda Index and DIo were independently associated with prediabetes and T2DM-Y (P<0.05). However, when both were included together, only DIo remained associated with T2DM-Y, whereas both DIo and Matsuda Index were associated with prediabetes (P<0.05). When controlled for adiposity (BMI and waist circumference), an association was observed but in opposite directions, with waist being positively associated with prediabetes (P = 0.016) and BMI negatively associated with T2DM-Y (P = 0.009). CONCLUSIONS Among Asian Indians, β-cell dysfunction appears to be more strongly associated with T2DM-Y than insulin resistance.
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Affiliation(s)
- Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control and IDF Centre for Education, Gopalapuram, Chennai, India.
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Ranjani H, Sonya J, Anjana RM, Mohan V. Prevalence of glucose intolerance among children and adolescents in urban South India (ORANGE-2). Diabetes Technol Ther 2013; 15:13-9. [PMID: 23151017 DOI: 10.1089/dia.2012.0236] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
AIM This study was designed to determine the prevalence of glucose intolerance (prediabetes or diabetes) in children and adolescents in urban South India. SUBJECTS AND METHODS Children (6-11 years old) and adolescents (12-19 years old) (n=1,519; 777 boys and 742 girls) were randomly selected from residential apartments representing the 10 corporation zones of Chennai city. Height, weight, waist circumference, body fat percentage, and blood pressure were measured using standardized techniques. Investigations included oral glucose tolerance test (OGTT), lipid profile, and fasting insulin. Insulin resistance (IR) was assessed by homeostasis model assessment (HOMA-IR). RESULTS The overall prevalence of glucose intolerance was 3.7% but was higher in girls compared with boys (4.2% vs. 3.2%, P<0.001) and increased to 12.7% in girls with abdominal obesity. On univariate regression, the following risk factors showed significant association with glucose intolerance in girls: adolescent age group (odds ratio [OR] 2.94; confidence interval (CI) 1.12, 7.76), waist circumference (OR 4.45; CI 1.95, 10.14), body mass index (OR 2.73; CI 1.32, 5.65), acanthosis nigricans (OR 2.35; CI 1.14, 4.83), family history of diabetes (OR 2.52; CI 1.07, 5.92), and HOMA-IR (OR 9.30; CI 3.59, 24.12). On multivariate analysis, only family history of diabetes (OR 4.11; CI 1.28, 13.22; P=0.018) and HOMA-IR (OR 11.22; CI 4.19, 30.05; P<0.001) remained significant. In boys only HOMA-IR (OR 5.19; CI 1.54, 17.44; P=0.008) was associated with glucose intolerance. CONCLUSIONS The prevalence of glucose intolerance is high in Asian Indian adolescents, particularly in girls with abdominal obesity.
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Affiliation(s)
- Harish Ranjani
- Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre for Education, Chennai, India
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Jordan DN, Jordan JL. Pediatric type 2 diabetes mellitus complications: a systematic review of the literature. ACTA ACUST UNITED AC 2012. [DOI: 10.7243/2050-0866-1-24] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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