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Kumar S, Soldatos G, Ranasinha S, Teede H, Pallin M. Continuous glucose monitoring versus self-monitoring of blood glucose in the management of cystic fibrosis related diabetes: A systematic review and meta-analysis. J Cyst Fibros 2023; 22:39-49. [PMID: 35906171 DOI: 10.1016/j.jcf.2022.07.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/20/2022] [Accepted: 07/20/2022] [Indexed: 10/16/2022]
Abstract
BACKGROUND Treatment of cystic fibrosis related diabetes (CFRD) can improve outcomes and use of continuous glucose monitoring (CGM) can positively impact glycemic control. We conducted a systematic review to assess current evidence on CGM compared to self-monitoring of blood glucose (SMBG) in the management of CFRD to determine its effect on glycemic, pulmonary, non-pulmonary and quality of life outcomes. METHODS Using pre-defined selection criteria, we searched MEDLINE, Embase, CENTRAL, Evidence-Based Medicine Reviews, grey literature and six relevant journals for studies using CGM and/or SMBG in CFRD with greater than 6 weeks of follow-up and reported change in HbA1c. The primary outcome was weighted mean difference (WMD) in plasma HbA1c between CGM and SMBG groups. Secondary outcomes included exploring interrelationships between CGM metrics and effects on disease-specific pulmonary, non-pulmonary and quality of life outcomes. RESULTS A total of 1671 references were retrieved, 862 studies screened and 124 full-texts assessed for eligibility. No studies directly compared CGM to SMBG. A meta-analysis of seventeen studies of 416 individuals (CGM = 138, SMBG = 278) found CGM group had 4.1 mmol/mol (95% CI -7.9 to -0.30, p = 0.034) lower HbA1c compared to SMBG group. Most studies demonstrated moderate-to-high risk of bias. Publication bias was also present. Heterogeneity was high and meta-regression identified duration of follow-up in SMBG group as main contributor. CONCLUSION Our findings suggest use of CGM may be associated with improved glycemic control compared to SMBG in CFRD, however evidence of benefit on pulmonary, non-pulmonary and psychosocial outcomes are lacking.
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Affiliation(s)
- Shanal Kumar
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Level 1, 43-51 Kanooka Grove, Clayton, VIC 3168, Australia; Diabetes and Vascular Medicine Unit, Monash Health, 246 Clayton Road, Clayton, VIC 3168, Australia
| | - Georgia Soldatos
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Level 1, 43-51 Kanooka Grove, Clayton, VIC 3168, Australia; Diabetes and Vascular Medicine Unit, Monash Health, 246 Clayton Road, Clayton, VIC 3168, Australia
| | - Sanjeeva Ranasinha
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Level 1, 43-51 Kanooka Grove, Clayton, VIC 3168, Australia
| | - Helena Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Level 1, 43-51 Kanooka Grove, Clayton, VIC 3168, Australia; Diabetes and Vascular Medicine Unit, Monash Health, 246 Clayton Road, Clayton, VIC 3168, Australia
| | - Michael Pallin
- Monash Lung and Sleep, Monash Health, 246 Clayton Road, Clayton, VIC 3168, Australia.
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Estrella ML, Pérez CM, Suárez E, Fuentes-Payán W, Thyagarajan B, Goldsmith JC, Daviglus ML, Avilés-Santa ML. Sex-Specific Associations of Iron-Anemia Status With Hemoglobin A1C Levels Among Hispanics/Latinos Without Self-Reported Diabetes Mellitus: The Hispanic Community Health Study/Study of Latinos. Endocr Pract 2022; 28:282-291. [PMID: 34896297 PMCID: PMC8901541 DOI: 10.1016/j.eprac.2021.11.086] [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: 09/17/2021] [Revised: 11/13/2021] [Accepted: 11/23/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The objective of this study was to examine the sex-specific associations of mutually exclusive iron-anemia status categories with hemoglobin A1C (HbA1C) levels among U.S. Hispanics/Latinos without self-reported diabetes mellitus. METHODS Baseline cross-sectional data (7247 women and 4904 men without self-reported diabetes mellitus) from the Hispanic Community Health Study/Study of Latinos were analyzed. Per the American Diabetes Association's defined criteria, based on HbA1C levels, the participants were categorized as having normoglycemia, prediabetes, or probable diabetes mellitus. The iron-anemia status categories were as follows: no anemia and no iron deficiency (reference), iron deficiency, iron deficiency anemia (IDA), and non-iron deficiency anemia (non-IDA). Survey multinomial logistic regression models were used to examine the sex-specific associations of iron-anemia status with HbA1C levels after adjusting for sociodemographic, lifestyle, and clinical factors. RESULTS The age-standardized prevalence of iron-anemia status categories differed by sex. Compared with those with no anemia and no iron deficiency and normoglycemia, women with IDA had higher odds of having prediabetes (odds ratio [OR], 2.18; 95% CI, 1.64-2.89) and probable diabetes mellitus (OR, 3.59; 95% CI, 1.62-7.99) based on HbA1C levels; men with non-IDA had higher odds of having probable diabetes mellitus (OR, 2.97; 95% CI, 1.13-7.78) based on HbA1C levels. All other associations did not reach statistical significance. CONCLUSION Among U.S. Hispanics/Latinos without self-reported diabetes mellitus, the age-standardized prevalence of iron deficiency, IDA, and non-IDA is high and varies by sex. Women with IDA had higher odds of having prediabetes and probable diabetes mellitus, defined based on HbA1C levels. Men with non-IDA had higher odds of having probable diabetes mellitus, defined based on HbA1C levels. Iron-anemia status should be considered while interpreting elevated HbA1C levels among U.S. Hispanics/Latinos without self-reported diabetes mellitus.
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Affiliation(s)
- Mayra L. Estrella
- University of Illinois at Chicago, Institute for Minority Health Research, 1819 West Polk Street, Suite 246 (M/C 764), Chicago, Illinois 60612
| | - Cynthia M. Pérez
- University of Puerto Rico Graduate School of Public Health, Department of Biostatistics and Epidemiology, Medical Sciences Campus, PO Box 365067, San Juan, Puerto Rico 00936-50677
| | - Erick Suárez
- University of Puerto Rico Graduate School of Public Health, Department of Biostatistics and Epidemiology, Medical Sciences Campus, PO Box 365067, San Juan, Puerto Rico 00936-50677
| | - Wilmarie Fuentes-Payán
- University of Puerto Rico Graduate School of Public Health, Department of Biostatistics and Epidemiology, Medical Sciences Campus, PO Box 365067, San Juan, Puerto Rico 00936-50677
| | - Bharat Thyagarajan
- University of Minnesota, Department of Laboratory Medicine and Pathology, 420 Delaware Minneapolis, Minnesota 55455
| | - Jonathan C. Goldsmith
- US Food and Drug Administration, Center for Drug Evaluation and Research, Office of New Drugs Rare Diseases Program (Retired), 10903 New Hampshire Ave, Silver Spring, Maryland 20993
| | - Martha L. Daviglus
- University of Illinois at Chicago, Institute for Minority Health Research, 1819 West Polk Street, Suite 246 (M/C 764), Chicago, Illinois 60612
| | - M. Larissa Avilés-Santa
- National Institute on Minority Health and Health Disparities, National Institutes of Health, 6707 Democracy Blvd, Suite 800, Room 830, Bethesda, Maryland 20892
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Loy SL, Lin J, Cheung YB, Sreedharan AV, Chin X, Godfrey KM, Tan KH, Shek LPC, Chong YS, Leow MKS, Khoo CM, Lee YS, Chan SY, Lek N, Chan JKY, Yap F. Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study. Sci Rep 2021; 11:20850. [PMID: 34675297 PMCID: PMC8531017 DOI: 10.1038/s41598-021-00445-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 10/12/2021] [Indexed: 12/16/2022] Open
Abstract
Abnormalities of red blood cell (RBC) indices may affect glycated haemoglobin (HbA1c) levels. We assessed the influence of haemoglobin (Hb) and mean corpuscular volume (MCV) on the performance of HbA1c in detecting dysglycaemia among reproductive aged women planning to conceive. Women aged 18-45 years (n = 985) were classified as normal (12 ≤ Hb ≤ 16 g/dL and 80 ≤ MCV ≤ 100 fL) and abnormal (Hb < 12 g/dL and/or MCV < 80 fL). The Area Under the Receiver Operating Characteristic (AUROC) curve was used to determine the performance of HbA1c in detecting dysglycaemic status (prediabetes and diabetes). There were 771 (78.3%) women with normal RBC indices. The AUROCs for the normal and abnormal groups were 0.75 (95% confidence interval 0.69, 0.81) and 0.80 (0.70, 0.90), respectively, and were not statistically different from one another [difference 0.04 (- 0.16, 0.08)]. Further stratification by ethnicity showed no difference between the two groups among Chinese and Indian women. However, Malay women with normal RBC indices displayed lower AUROC compared to those with abnormal RBC indices (0.71 (0.55, 0.87) vs. 0.98 (0.93, 1.00), p = 0.002). The results suggest that the performance of HbA1c in detecting dysglycaemia was not influenced by abnormal RBC indices based on low Hb and/or low MCV. However, there may be ethnic variations among them.
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Affiliation(s)
- See Ling Loy
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, 229899, Singapore.
- Duke-NUS Medical School, Singapore, 169857, Singapore.
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore.
| | - Jinjie Lin
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Yin Bun Cheung
- Program in Health Services and Systems Research and Center for Quantitative Medicine, Duke-NUS Medical School, Singapore, 169857, Singapore
- Tampere Center for Child, Adolescent and Maternal Health Research, Tampere University, 33014, Tampere, Finland
| | | | - Xinyi Chin
- Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, SO16 6YD, UK
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Lynette Pei-Chi Shek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, 119074, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, 119228, Singapore
| | - Melvin Khee-Shing Leow
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore
- Cardiovascular and Metabolic Disorder Programme, Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Endocrinology, Tan Tock Seng Hospital, Singapore, 308433, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 636921, Singapore
| | - Chin Meng Khoo
- Cardiovascular and Metabolic Disorder Programme, Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Medicine, National University Hospital, Singapore, 119074, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, 119074, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
| | - Ngee Lek
- Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Jerry Kok Yen Chan
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, 229899, Singapore
- Duke-NUS Medical School, Singapore, 169857, Singapore
| | - Fabian Yap
- Duke-NUS Medical School, Singapore, 169857, Singapore.
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, 229899, Singapore.
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 636921, Singapore.
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Bindayel IA. Influence of iron deficiency anemia on glycated hemoglobin levels in non-diabetic Saudi women. J Int Med Res 2021; 49:300060521990157. [PMID: 33641472 PMCID: PMC7923997 DOI: 10.1177/0300060521990157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Objective Studies of patients with iron deficiency anemia (IDA) have shown a relationship between high glycated hemoglobin (HbA1c) and low hemoglobin (Hb) concentration. The present study was conducted to determine the influence of IDA on HbA1c in non-diabetic women. Methods Fifty-nine Saudi women (20 to 50 years old) were enrolled and categorized into groups according to their circulating hemoglobin concentration: Non-IDA (Hb ≥7.45 mmol/L; n = 38) and IDA (Hb ≤7.44 mmol/L; n = 21). The IDA group was further subdivided according to the severity of the IDA, as follows: mild (Hb 6.83 to 7.44 mmol/L; n = 9) and moderate–severe (Hb <6.83 mol/L; n = 12). HbA1c, Hb, ferritin, fasting blood glucose, and red blood cell (RBC) count were measured in each participant. Results HbA1c did not significantly differ between the groups, but the absolute HbA1c level was significantly lower in the mild and moderate–severe anemia groups than the non-anemic group, and was positively associated with Hb, ferritin, and RBC count. In addition, the HbA1c level was inversely associated with the Hb concentration. Conclusions HbA1c is significantly associated with parameters related to IDA in non-diabetic Saudi women. Therefore, assessment of IDA-related parameters is recommended prior to making a diagnosis of diabetes.
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Affiliation(s)
- Iman Abdullah Bindayel
- Department of Community Health Sciences, College of Applied Medical Sciences, 37850King Saud University, Riyadh, Saudi Arabia
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5
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Jagannathan R, Neves JS, Dorcely B, Chung ST, Tamura K, Rhee M, Bergman M. The Oral Glucose Tolerance Test: 100 Years Later. Diabetes Metab Syndr Obes 2020; 13:3787-3805. [PMID: 33116727 PMCID: PMC7585270 DOI: 10.2147/dmso.s246062] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 09/24/2020] [Indexed: 12/15/2022] Open
Abstract
For over 100 years, the oral glucose tolerance test (OGTT) has been the cornerstone for detecting prediabetes and type 2 diabetes (T2DM). In recent decades, controversies have arisen identifying internationally acceptable cut points using fasting plasma glucose (FPG), 2-h post-load glucose (2-h PG), and/or HbA1c for defining intermediate hyperglycemia (prediabetes). Despite this, there has been a steadfast global consensus of the 2-h PG for defining dysglycemic states during the OGTT. This article reviews the history of the OGTT and recent advances in its application, including the glucose challenge test and mathematical modeling for determining the shape of the glucose curve. Pitfalls of the FPG, 2-h PG during the OGTT, and HbA1c are considered as well. Finally, the associations between the 30-minute and 1-hour plasma glucose (1-h PG) levels derived from the OGTT and incidence of diabetes and its complications will be reviewed. The considerable evidence base supports modifying current screening and diagnostic recommendations with the use of the 1-h PG. Measurement of the 1-h PG level could increase the likelihood of identifying high-risk individuals when the pancreatic ß-cell function is substantially more intact with the added practical advantage of potentially replacing the conventional 2-h OGTT making it more acceptable in the clinical setting.
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Affiliation(s)
- Ram Jagannathan
- Division of Hospital Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - João Sérgio Neves
- Department of Surgery and Physiology, Cardiovascular Research and Development Center, Faculty of Medicine, University of Porto, Porto, Portugal
- Department of Endocrinology, Diabetes and Metabolism, Sa˜o Joa˜ o University Hospital Center, Porto, Portugal
| | - Brenda Dorcely
- NYU Grossman School of Medicine, Division of Endocrinology, Diabetes, Metabolism, New York, NY10016, USA
| | - Stephanie T Chung
- Diabetes, Obesity, and Endocrinology Branch, National Institute of Diabetes & Digestive & Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Kosuke Tamura
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD20892, USA
| | - Mary Rhee
- Emory University School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Lipids, Atlanta VA Health Care System, Atlanta, GA30322, USA
| | - Michael Bergman
- NYU Grossman School of Medicine, NYU Diabetes Prevention Program, Endocrinology, Diabetes, Metabolism, VA New York Harbor Healthcare System, Manhattan Campus, New York, NY10010, USA
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Guo W, Zhou Q, Jia Y, Xu J. Increased Levels of Glycated Hemoglobin A1c and Iron Deficiency Anemia: A Review. Med Sci Monit 2019; 25:8371-8378. [PMID: 31696865 PMCID: PMC6857442 DOI: 10.12659/msm.916719] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 07/22/2019] [Indexed: 12/22/2022] Open
Abstract
Worldwide, the prevalence of diabetes remains high. Studies have shown that iron deficiency anemia (IDA) is associated with increased levels of glycated hemoglobin A1c (HbA1c), but the mechanism remains unclear. Hematological changes, iron metabolism, study methodology, and other factors could affect the results of diagnostic investigations, leading to false results. Red blood cell turnover in the bone marrow and the quality and heterogeneity of erythrocytes may influence the rate of hemoglobin glycation. By changing the structure of hemoglobin and inducing peroxidation, iron deficiency accelerates glycation. This review aims to discuss the possible causes of the association between increased levels of HbA1c and IDA.
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Affiliation(s)
- Wenjia Guo
- Department of Laboratory Medicine, First Hospital of Jilin University, Changchun, Jilin, P.R. China
| | - Qi Zhou
- Department of Pediatrics, First Hospital of Jilin University, Changchun, Jilin, P.R. China
| | - Yanan Jia
- Department of Laboratory Medicine, First Hospital of Jilin University, Changchun, Jilin, P.R. China
| | - Jiancheng Xu
- Department of Laboratory Medicine, First Hospital of Jilin University, Changchun, Jilin, P.R. China
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7
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Shareef AM, Ahmedani MY, Waris N. Strong association of anemia in people with diabetic foot ulcers (DFUs): Study from a specialist foot care center. Pak J Med Sci 2019; 35:1216-1220. [PMID: 31488981 PMCID: PMC6717462 DOI: 10.12669/pjms.35.5.1421] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Background & Objective Anemia is common finding in people with diabetes and diabetic foot ulcers. Therefore, our objective was to observe and compare the association of anemia in people with diabetic foot ulcers (DFUs) with age and sex matched people without DFUs. Method This prospective case control study was undertaken at a multidisciplinary diabetic foot clinic of Baqai Institute of Diabetology and Endocrinology (BIDE) between October 2014 and October 2015. Participants were categorized into two groups; Case group (people with DFUs) and Control group (people without DFUs). Baseline demographic characteristics, biochemical and hematological parameters were recorded. University of Texas (UT) classification system was used to grade and stage DFU in case group. Subjects with other apparent causes of anaemia were excluded. Age and sex matched controls were taken from diabetic clinic presented during same time period. Data was analyzed by using statistical package for social science (SPSS) version 20. Results Total of 161 participants in case group were compared with similar number of age and sex matched participants of control group. Most of the participants were males 119(73.9%). Age and sex matched case and control groups were comparable except for duration of diabetes, BMI and HDL levels. Overall, 85.67% case group (males 64.56%); females 21.11%) and 35.3% control group (males 22.9%; females12.4%) have anemia. Mean Hb level was 10.49g/dl in case group and 13.39g/dl in control group. Significant differences were also noted in other blood parameters. Conclusion Our study concludes that anaemia is strongly associated with DFU disease. Anaemia should be considered and treated as co-morbidity while managing patients with foot ulcers.
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Affiliation(s)
- Abdul Majid Shareef
- Dr. Abdul Majid Shareef, MBBS. Podiatric Surgeon, Department of Foot, Baqai Institute of Diabetology and Endocrinology (BIDE), Baqai Medical University (BMU), Karachi-Pakistan
| | - Muhammad Yakoob Ahmedani
- Prof. Muhammad Yakoob Ahmedani, FCPS. Professor of Medicine (BMU), Department of Medicine, Baqai Institute of Diabetology and Endocrinology (BIDE), Baqai Medical University (BMU), Karachi-Pakistan
| | - Nazish Waris
- Dr. Nazish Waris, Ph.D. Research Officer, Research Department, Baqai Institute of Diabetology and Endocrinology (BIDE), Baqai Medical University (BMU), Karachi-Pakistan
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Misra A, Gopalan H, Jayawardena R, Hills AP, Soares M, Reza-Albarrán AA, Ramaiya KL. Diabetes in developing countries. J Diabetes 2019; 11:522-539. [PMID: 30864190 DOI: 10.1111/1753-0407.12913] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 02/27/2019] [Accepted: 03/08/2019] [Indexed: 12/24/2022] Open
Abstract
There has been a rapid escalation of type 2 diabetes (T2D) in developing countries, with varied prevalence according to rural vs urban habitat and degree of urbanization. Some ethnic groups (eg, South Asians, other Asians, and Africans), develop diabetes a decade earlier and at a lower body mass index than Whites, have prominent abdominal obesity, and accelerated the conversion from prediabetes to diabetes. The burden of complications, both macro- and microvascular, is substantial, but also varies according to populations. The syndemics of diabetes with HIV or tuberculosis are prevalent in many developing countries and predispose to each other. Screening for diabetes in large populations living in diverse habitats may not be cost-effective, but targeted high-risk screening may have a place. The cost of diagnostic tests and scarcity of health manpower pose substantial hurdles in the diagnosis and monitoring of patients. Efforts for prevention remain rudimentary in most developing countries. The quality of care is largely poor; hence, a substantial number of patients do not achieve treatment goals. This is further amplified by a delay in seeking treatment, "fatalistic attitudes", high cost and non-availability of drugs and insulins. To counter these numerous challenges, a renewed political commitment and mandate for health promotion and disease prevention are urgently needed. Several low-cost innovative approaches have been trialed with encouraging outcomes, including training and deployment of non-medical allied health professionals and the use of mobile phones and telemedicine to deliver simple health messages for the prevention and management of T2D.
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Affiliation(s)
- Anoop Misra
- National-Diabetes, Obesity and Cholesterol Foundation, Safdarjung Development Area, New Delhi, India
- Diabetes Foundation (India), New Delhi, India
- Fortis C-DOC Center of Excellence for Diabetes, Metabolic Diseases, and Endocrinology, New Delhi, India
| | - Hema Gopalan
- National-Diabetes, Obesity and Cholesterol Foundation, Safdarjung Development Area, New Delhi, India
| | | | - Andrew P Hills
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Mario Soares
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Alfredo A Reza-Albarrán
- Endocrinology and Metabolism Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
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9
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Affiliation(s)
- Anoop Misra
- Fortis C-DOC Hospital for Diabetes and Metabolic Diseases, New Delhi, India
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10
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Mayer-Davis EJ, Kahkoska AR, Jefferies C, Dabelea D, Balde N, Gong CX, Aschner P, Craig ME. ISPAD Clinical Practice Consensus Guidelines 2018: Definition, epidemiology, and classification of diabetes in children and adolescents. Pediatr Diabetes 2018; 19 Suppl 27:7-19. [PMID: 30226024 PMCID: PMC7521365 DOI: 10.1111/pedi.12773] [Citation(s) in RCA: 334] [Impact Index Per Article: 55.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 07/27/2018] [Indexed: 12/16/2022] Open
Affiliation(s)
- Elizabeth J. Mayer-Davis
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Anna R. Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Craig Jefferies
- Starship Children’s Hospital, Auckland District Health Board, Auckland, New Zealand
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, Colorado
| | - Naby Balde
- Department of Endocrinology, University Hospital, Conakry, Guinea
| | - Chun X. Gong
- Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | | | - Maria E. Craig
- The Children’s Hospital at Westmead, University of Sydney, Sydney, New South Wales, Australia,School of Women’s and Children’s Health, University of NSW, Sydney, New South Wales, Australia
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Punthakee Z, Goldenberg R, Katz P. Definition, Classification and Diagnosis of Diabetes, Prediabetes and Metabolic Syndrome. Can J Diabetes 2018; 42 Suppl 1:S10-S15. [PMID: 29650080 DOI: 10.1016/j.jcjd.2017.10.003] [Citation(s) in RCA: 372] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Indexed: 12/16/2022]
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12
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Owora AH. Commentary: Diagnostic Validity and Clinical Utility of HbA1c Tests for Type 2 Diabetes Mellitus. Curr Diabetes Rev 2018; 14:196-199. [PMID: 27897108 PMCID: PMC5872347 DOI: 10.2174/1573399812666161129154559] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 11/15/2016] [Accepted: 11/20/2016] [Indexed: 01/15/2023]
Affiliation(s)
- Arthur H. Owora
- Address correspondence to this author at the Public Health, Falk College, Syracuse University, 344E White Hall, 150 Crouse Dr. Syracuse, New York 13244 Public Health, United States; E-mail:
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Pannu PK, Piers LS, Soares MJ, Zhao Y, Ansari Z. Vitamin D status is inversely associated with markers of risk for type 2 diabetes: A population based study in Victoria, Australia. PLoS One 2017; 12:e0178825. [PMID: 28575036 PMCID: PMC5456387 DOI: 10.1371/journal.pone.0178825] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Accepted: 05/21/2017] [Indexed: 12/24/2022] Open
Abstract
A growing body of evidence suggests a protective role of vitamin D on the risk of type 2 diabetes mellitus (T2DM). We investigated this relationship in a population sample from one Australian state. The data of 3,393 Australian adults aged 18-75 years who participated in the 2009-2010 Victorian Health Monitor survey was analyzed. Socio-demographic information, biomedical variables, and dietary intakes were collected and fasting blood samples were analyzed for 25, hydroxycholecalciferol (25OHD), HbA1c, fasting plasma glucose (FPG), and lipid profiles. Logistic regression analyses were used to evaluate the association between tertiles of serum 25OHD and categories of FPG (<5.6 mmol/L vs. 5.6-6.9 mmol/L), and HbA1c (<5.7% vs. 5.7-6.4%). After adjusting for social, dietary, biomedical and metabolic syndrome (MetS) components (waist circumference, HDL cholesterol, triglycerides, and blood pressure), every 10 nmol/L increment in serum 25OHD significantly reduced the adjusted odds ratio (AOR) of a higher FPG [AOR 0.91, (0.86, 0.97); p = 0.002] and a higher HbA1c [AOR 0.94, (0.90, 0.98); p = 0.009]. Analysis by tertiles of 25OHD indicated that after adjustment for socio-demographic and dietary variables, those with high 25OHD (65-204 nmol/L) had reduced odds of a higher FPG [AOR 0.60, (0.43, 0.83); p = 0.008] as well as higher HbA1c [AOR 0.67, (0.53, 0.85); p = 0.005] compared to the lowest 25OHD (10-44 nmol/L) tertile. On final adjustment for other components of MetS, those in the highest tertile of 25OHD had significantly reduced odds of higher FPG [AOR 0.61, (0.44, 0.84); p = 0.011] and of higher HbA1c [AOR 0.74, (0.58, 0.93); p = 0.041] vs. low 25OHD tertile. Overall, the data support a direct, protective effect of higher 25OHD on FPG and HbA1c; two criteria for assessment of risk of T2DM.
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Affiliation(s)
- Poonam K. Pannu
- Food, Nutrition & Health, School of Public Health, Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia, Australia
| | - Leonard S. Piers
- Health Intelligence Unit, System Intelligence and Analytics Branch, Health Strategy, Productivity and Analytics Division, Department of Health, Melbourne, Victoria, Australia
| | - Mario J. Soares
- Food, Nutrition & Health, School of Public Health, Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia, Australia
| | - Yun Zhao
- Occupation and the Environment, School of Public Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - Zahid Ansari
- Health Intelligence Unit, System Intelligence and Analytics Branch, Health Strategy, Productivity and Analytics Division, Department of Health, Melbourne, Victoria, Australia
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