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Demlie TA, Alemu MT, Messelu MA, Wagnew F, Mekonen EG. Incidence and predictors of mortality among traumatic brain injury patients admitted to Amhara region Comprehensive Specialized Hospitals, northwest Ethiopia, 2022. BMC Emerg Med 2023; 23:55. [PMID: 37226098 DOI: 10.1186/s12873-023-00823-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 05/17/2023] [Indexed: 05/26/2023] Open
Abstract
INTRODUCTION Traumatic brain injury is a substantial cause of mortality and morbidity with a higher burden in low and middle-income countries due to healthcare systems that are unable to deliver effectively the acute and long-term care the patients require. Besides its burden, there is little information on traumatic brain injury-related mortality in Ethiopia, especially in the region. Therefore, this study aimed to assess the incidence and predictors of mortality among traumatic brain injury patients admitted to comprehensive specialized hospitals in the Amhara region, northwest Ethiopia, 2022. METHODS An institution-based retrospective follow-up study was conducted among 544 traumatic brain injury patients admitted from January 1, 2021, to December 31, 2021. A simple random sampling method was used. Data were extracted using a pre-tested and structured data abstraction sheet. Data were entered, coded, and cleaned into EPi-info version 7.2.0.1 software and exported to STATA version 14.1 for analysis. The Weibull regression model was fitted to determine the association between time to death and covariates. Variables with a P-value < 0.05 were declared statistically significant. RESULTS The overall incidence of mortality among traumatic brain injury patients was 1.23 per 100 person-day observation [95% (CI: 1.0, 1.5)] with a median survival time of 106 (95% CI: 60, 121) days. Age [AHR: 1.08 (95% CI; 1.06, 1.1)], severe traumatic brain injury [AHR: 10 (95% CI; 3.55, 28.2)], moderate traumatic brain injury [AHR: 9.2 (95% CI 2.97, 29)], hypotension [AHR: 6.9 (95% CI; 2.8, 17.1)], coagulopathy [AHR: 2.55 (95% CI: 1.27, 5.1)], hyperthermia [AHR: 2.79 (95% CI; 1.4, 5.5)], and hyperglycemia [AHR: 2.28 (95% CI; 1.13, 4.6)] were positively associated with mortality while undergoing neurosurgery were negatively associated with mortality [AHR: 0.47 (95% CI; 0.27-0 0.82)]. CONCLUSION The overall incidence of mortality was found to be high. Age, severe and moderate traumatic brain injury, hypotension at admission, coagulopathy, presence of associated aspiration pneumonia, undergoing a neurosurgical procedure, episode of hyperthermia, and hyperglycemia during hospitalization were the independent predictors of time to death. Therefore, interventions to reduce mortality should focus on the prevention of primary injury and secondary brain injury.
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Affiliation(s)
- Tiruye Azene Demlie
- Department of Surgical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
| | - Mahlet Temesgen Alemu
- Department of Surgical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mengistu Abebe Messelu
- Department of Nursing, College of Medicine and Health Sciences, Debre Markos University, Debre Markos, Ethiopia
| | - Fasil Wagnew
- College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia
- National Center for Epidemiology and Population Health (NCEPH), College of Health and Medicine, The Australian National University, Canberra, Australia
| | - Enyew Getaneh Mekonen
- Department of Surgical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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Hao J, Yao Q, Lin Y, Sun Y, Zhang B, Hu M, Zhang J, Zhao N, Pei J, Liu Z, Zhu C. Cost-effectiveness of two screening strategies based on Chinese diabetes risk score for pre-diabetes in China. Front Public Health 2022; 10:1018084. [PMID: 36530668 PMCID: PMC9747942 DOI: 10.3389/fpubh.2022.1018084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/14/2022] [Indexed: 12/05/2022] Open
Abstract
Objective Studies have shown that screening for pre-diabetes mellitus (pre-DM) is essential to prevent type 2 diabetes mellitus (T2DM). This study evaluates the cost-effectiveness of two screening strategies that apply the Chinese Diabetes Risk Score (CDRS) to screen for pre-DM in China. Methods A Markov microsimulation model was conducted from a social perspective, and the input parameters were obtained from published literature or publicly available data. Two screening strategies for pre-DM based on CDRS were built and compared with the control group to determine the cost-effective strategy. The screening strategy of the control group was screening for pre-DM by fasting plasma glucose (FPG) test in adults undergoing annual health examination and no screening in adults without an annual health examination (status quo). Two screening strategies were strategy 1: screening for pre-DM using CDRS in all adults (including with or without an annual health examination); and strategy 2: supplemental self-screening for pre-DM using CDRS in adults without an annual health examination, based on the status quo. We focus on the cumulative prevalence of T2DM and the incremental cost-effectiveness ratio which signifies the cost per case of T2DM prevented. We also evaluated the cost-effectiveness from the health system perspective. One-way and probabilistic sensitivity analyses were conducted to verify the robustness of the results. Results The costs a case of T2DM prevented for strategy 1 compared with the control group and strategy 2 were $299.67 (95% CI 298.88, 300.46) and $385.89 (95% CI 381.58, 390.20), respectively. In addition, compared with the control group, the cost of strategy 2 to prevent a case of T2DM was $272.23 (95% CI 271.50, 272.96). Conclusions Screening for pre-DM using CDRS in all adults was the most cost-effective health policy. We suggest that medical institutions replace FPG with CDRS for pre-DM screening; at the same time, self-screening for pre-DM using CDRS is widely promoted among adults without an annual health examination. There were still some disputes about how CDRS is included in the health examination projects, so strategy 2 should be considered as an alternative screening strategy. Findings provide a reference for the application of the CDRS in pre-DM screening and contribute to T2DM prevention.
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Affiliation(s)
- Jingjing Hao
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Qiang Yao
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yidie Lin
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yue Sun
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Baiyang Zhang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Meijing Hu
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jing Zhang
- Department of Cardiology, Daping Hospital, The Third Military Medical University, Chongqing, China
| | - Ningxuan Zhao
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiao Pei
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Zhonghua Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China,*Correspondence: Zhonghua Liu
| | - Cairong Zhu
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China,Cairong Zhu
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Lee JH, Chon S, Cha SA, Lim SY, Kim KR, Yun JS, Rhee SY, Yoon KH, Ahn YB, Woo JT, Ko SH. Impaired fasting glucose levels in overweight or obese subjects for screening of type 2 diabetes in Korea. Korean J Intern Med 2021; 36:382-391. [PMID: 32114752 PMCID: PMC7969057 DOI: 10.3904/kjim.2019.171] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 07/01/2019] [Accepted: 07/05/2019] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND/AIMS We examined the concordance rate among fasting plasma glucose (FPG), 2-hour post-challenge glucose (2hr PG), and hemoglobin A1c (HbA1c) in the diagnosis of diabetes in a population with a high-risk for type 2 diabetes mellitus (T2DM) in Korea. METHODS Among the participants from the Korean Diabetes Prevention Study, individuals with FPG ≥ 100 mg/dL, body mass index (BMI) ≥ 23.0 kg/m2, and no previous history of T2DM were consecutively enrolled after a 75 g glucose tolerance test. We analyzed the differences in the clinical characteristics in subjects with stage 1 (FPG, 100 to 109 mg/dL) and stage 2 (FPG, 110 to 125 mg/dL) impaired fasting glucose (IFG). RESULTS Of 1,637 participants, 27.2% had T2DM and 59.3% had IFG and/or impaired glucose tolerance (IGT). The mean age was 55.0 ± 8.1 years and the mean BMI was 26.3 ± 2.7 kg/m2. Based on FPG criteria, 515 (31.4%) and 352 (21.5%) subjects were classified as having stage 1 and stage 2 IFG, respectively. The 19.0% of stage 1 and 43.5% of stage 2 subjects showed 2hr PG levels in the diabetic range. Even for those in the normal FPG range, 63 (9.5%) participants showed a 2hr PG level of ≥ 200 mg/dL. Of 446 subjects with newly-diagnosed diabetes, 340 (76.2%) showed FPG levels < 126 mg/dL. CONCLUSION The oral glucose tolerance test should be actively considered for Korean adults who are overweight or obese with the IFG range (FPG, 100 to 125 mg/ dL) to allow for early detection of diabetes and prompt intervention.
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Affiliation(s)
- Jin-Hee Lee
- Catholic Institute of Smart Healthcare Center, Institute of Biomedical Industry, The Catholic University of Korea, Seoul, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea
| | - Seon-Ah Cha
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, St. Vincent’s Hospital, The Catholic University of Korea, Suwon, Korea
| | - Sun-Young Lim
- Catholic Institute of Smart Healthcare Center, Institute of Biomedical Industry, The Catholic University of Korea, Seoul, Korea
| | - Kook-Rye Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, St. Vincent’s Hospital, The Catholic University of Korea, Suwon, Korea
| | - Jae-Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, St. Vincent’s Hospital, The Catholic University of Korea, Suwon, Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea
| | - Kun-Ho Yoon
- Catholic Institute of Smart Healthcare Center, Institute of Biomedical Industry, The Catholic University of Korea, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Yu-Bae Ahn
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, St. Vincent’s Hospital, The Catholic University of Korea, Suwon, Korea
| | - Jeong-Taek Woo
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea
| | - Seung-Hyun Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, St. Vincent’s Hospital, The Catholic University of Korea, Suwon, Korea
| | - Korean Diabetes Prevention Study Investigators
- Catholic Institute of Smart Healthcare Center, Institute of Biomedical Industry, The Catholic University of Korea, Seoul, Korea
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, St. Vincent’s Hospital, The Catholic University of Korea, Suwon, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
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Kaur G, Lakshmi PVM, Rastogi A, Bhansali A, Jain S, Teerawattananon Y, Bano H, Prinja S. Diagnostic accuracy of tests for type 2 diabetes and prediabetes: A systematic review and meta-analysis. PLoS One 2020; 15:e0242415. [PMID: 33216783 PMCID: PMC7678987 DOI: 10.1371/journal.pone.0242415] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Accepted: 11/02/2020] [Indexed: 12/16/2022] Open
Abstract
AIM This systematic review aimed to ascertain the diagnostic accuracy (sensitivity and specificity) of screening tests for early detection of type 2 diabetes and prediabetes in previously undiagnosed adults. METHODS This systematic review included published studies that included one or more index tests (random and fasting tests, HbA1c) for glucose detection, with 75-gram Oral Glucose Tolerance Test (or 2-hour post load glucose) as a reference standard (PROSPERO ID CRD42018102477). Seven databases were searched electronically (from their inception up to March 9, 2020) accompanied with bibliographic and website searches. Records were manually screened and full text were selected based on inclusion and exclusion criteria. Subsequently, data extraction was done using standardized form and quality assessment of studies using QUADAS-2 tool. Meta-analysis was done using bivariate model using Stata 14.0. Optimal cut offs in terms of sensitivity and specificity for the tests were analysed using R software. RESULTS Of 7,151 records assessed by title and abstract, a total of 37 peer reviewed articles were included in this systematic review. The pooled sensitivity, specificity, positive (LR+) and negative likelihood ratio (LR-) for diagnosing diabetes with HbA1c (6.5%; venous sample; n = 17 studies) were 50% (95% CI: 42-59%), 97.3% (95% CI: 95.3-98.4), 18.32 (95% CI: 11.06-30.53) and 0.51 (95% CI: 0.43-0.60), respectively. However, the optimal cut-off for diagnosing diabetes in previously undiagnosed adults with HbA1c was estimated as 6.03% with pooled sensitivity of 73.9% (95% CI: 68-79.1%) and specificity of 87.2% (95% CI: 82-91%). The optimal cut-off for Fasting Plasma Glucose (FPG) was estimated as 104 milligram/dL (mg/dL) with a sensitivity of 82.3% (95% CI: 74.6-88.1%) and specificity of 89.4% (95% CI: 85.2-92.5%). CONCLUSION Our findings suggest that at present recommended threshold of 6.5%, HbA1c is more specific and less sensitive in diagnosing the newly detected diabetes in undiagnosed population from community settings. Lowering of thresholds for HbA1c and FPG to 6.03% and 104 mg/dL for early detection in previously undiagnosed persons for screening purposes may be considered.
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Affiliation(s)
- Gunjeet Kaur
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - P. V. M. Lakshmi
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Ashu Rastogi
- Department of Endocrinology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Anil Bhansali
- Department of Endocrinology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Sanjay Jain
- Department of Internal Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Yot Teerawattananon
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Health Intervention Technology Assessment Program, Nonthaburi, Thailand
| | - Henna Bano
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Shankar Prinja
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India
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Sadabadi F, Gholoobi A, Heidari-Bakavol A, Mouhebati M, Javandoost A, Asadi Z, Saberi-Karimian M, Darroudi S, Khorrami Mohebbseraj MS, Rahmani F, Malekzadeh Gonabadi N, Jafari Sheshtamad F, Samadi S, Bahrami A, Ferns G, Ghayour-Mobarhan M, Esmaeili H. Decreased Threshold of Fasting Serum Glucose for Cardiovascular Events: MASHAD Cohort Study. Rep Biochem Mol Biol 2020; 9:64-70. [PMID: 32821753 DOI: 10.29252/rbmb.9.1.64] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally, and specifically in Iran. Generally, diabetes mellitus is the result of impaired glucose tolerance which together with dyslipidemia are considered as important risk factors of CVD. The aim of this study was to determine the relationship between fasting serum glucose (FSG), lipid profile and CVD endpoints, and to establish an optimal FSG cut-off in the MASHAD cohort study after nearly 6 years of follow-up. Methods All the participants of MASHAD study were followed up for 6 years to determine their cardiovascular status. FSG, fasting lipids, and physical examinations were all recorded. To identify the optimal cut- off point of FSG, we carried out receiver operating curve (ROC) analysis. Results We determined MASHAD cutoff point of blood glucose as 90 mg/dl predicting the CVD outcome. The sensitivity and specificity of the FSG criterion were 54.34% and 71.68%, respectively. The AUC was 0.665 (95% CI 0.656-0.675, P< 0.0001). The adjusted hazard ratio show that FSG is associated with 2.34 increase in CVD risk using MASHAD cutoff point (HR 2.34, 95% 1.73-3.17, P< 0.001). Conclusion These findings suggest that not only FSG and lipid profile are related to CVD outcome in the MASHAD study, but also elevated fasting glucose levels is strongly associated with cardiovascular events in this population. Besides, the fasting glucose at a threshold of 90 mg/dl can be used for screening cardiovascular events among the Iranian population.
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Affiliation(s)
- Fatemeh Sadabadi
- - Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Aida Gholoobi
- Medical Genetics Research Centre, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Alireza Heidari-Bakavol
- Cardiovascular Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohsen Mouhebati
- Cardiovascular Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ali Javandoost
- - Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Zahra Asadi
- - Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Maryam Saberi-Karimian
- - Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Susan Darroudi
- - Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Farzad Rahmani
- - Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | | | - Sara Samadi
- - Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Afsane Bahrami
- Cellular and Molecular Research Center, Birjand University of Medical Sciences, Birjand, Iran
| | - Gordon Ferns
- Department of Medical Education, Brighton & Sussex Medical School, Brighton, BN1 9PH, UK
| | - Majid Ghayour-Mobarhan
- - Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.,International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Department of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Habibollah Esmaeili
- Department of Biostatistics & Epidemiology, School of Health, Management & Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
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Paalanen L, Koponen P, Laatikainen T, Tolonen H. Public health monitoring of hypertension, diabetes and elevated cholesterol: comparison of different data sources. Eur J Public Health 2019; 28:754-765. [PMID: 29462296 DOI: 10.1093/eurpub/cky020] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background Three data sources are generally used in monitoring health on the population level. Health interview surveys (HISs) are based on participants' self-report. Health examination surveys (HESs) yield more objective data, and also persons who are unaware of their elevated risks can be detected. Medical records (MRs) and other administrative registers also provide objective data, but their availability, coverage and quality vary between countries. We summarized studies comparing self-reported data with (i) measured data from HESs or (ii) MRs. We aimed to describe differences in feasibility and comparability of different data sources for monitoring (i) elevated blood pressure or hypertension (ii) elevated blood glucose or diabetes and (iii) elevated total cholesterol. Methods We conducted a literature search to identify studies, which validated self-reported measures against objective measures. We found 30 studies published since the year 2000 fulfilling our inclusion criteria (targeted to adults and comparing prevalence among the same persons). Results Hypertension and elevated total cholesterol were prone to be under-estimated in HISs. The under-estimate was more pronounced, when the HIS data were compared with HES data, and lower when compared with MRs. For diabetes, the HISs and the objective methods resulted in fairly similar prevalence rates. Conclusion The three data sources measure different manifestations of the risk factors and cannot be expected to yield similar prevalence rates. Using HIS data only may lead to under-estimation of elevated risk factor levels or disease prevalence. Whenever possible, information from the three data sources should be evaluated and combined.
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Affiliation(s)
- Laura Paalanen
- Department of Public Health Solutions, National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Päivikki Koponen
- Department of Public Health Solutions, National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Tiina Laatikainen
- Department of Public Health Solutions, National Institute for Health and Welfare (THL), Helsinki, Finland.,Institute of Public Health and Clinical Nutrition, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.,Siun Sote-Joint Municipal Authority for North Karelia Social and Health Services, Joensuu, Finland
| | - Hanna Tolonen
- Department of Public Health Solutions, National Institute for Health and Welfare (THL), Helsinki, Finland
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Hu X, Zhang Q, Zeng TS, Zhang JY, Min J, Tian SH, Huang H, Peng M, Zhang N, Li M, Wan Q, Xiao F, Chen Y, Wu C, Chen LL. Not performing an OGTT results in underdiagnosis, inadequate risk assessment and probable cost increases of (pre)diabetes in Han Chinese over 40 years: a population-based prospective cohort study. Endocr Connect 2018; 7:1507-1517. [PMID: 30521481 PMCID: PMC6311461 DOI: 10.1530/ec-18-0372] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 12/05/2018] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To explore the influence by not performing an oral glucose tolerance test (OGTT) in Han Chinese over 40 years. DESIGN Overall, 6682 participants were included in the prospective cohort study and were followed up for 3 years. METHODS Fasting plasma glucose (FPG), 2-h post-load plasma glucose (2h-PG), FPG and 2h-PG (OGTT), and HbA1c testing using World Health Organization (WHO) or American Diabetes Association (ADA) criteria were employed for strategy analysis. RESULTS The prevalence of diabetes is 12.4% (95% CI: 11.6-13.3), while the prevalence of prediabetes is 34.1% (95% CI: 32.9-35.3) and 56.5% (95% CI: 55.2-57.8) using WHO and ADA criteria, respectively. 2h-PG determined more diabetes individuals than FPG and HbA1c. The testing cost per true positive case of OGTT is close to FPG and less than 2h-PG or HbA1c. FPG, 2h-PG and HbA1c strategies would increase costs from complications for false-positive (FP) or false-negative (FN) results compared with OGTT. Moreover, the least individuals identified as normal by OGTT at baseline developed (pre)diabetes, and the most prediabetes individuals identified by HbA1c or FPG using ADA criteria developed diabetes. CONCLUSIONS The prevalence of isolated impaired glucose tolerance and isolated 2-h post-load diabetes were high, and the majority of individuals with (pre)diabetes were undetected in Chinese Han population. Not performing an OGTT results in underdiagnosis, inadequate developing risk assessment and probable cost increases of (pre)diabetes in Han Chinese over 40 years and great consideration should be given to OGTT in detecting (pre)diabetes in this population. Further population-based prospective cohort study of longer-term effects is necessary to investigate the risk assessment and cost of (pre)diabetes.
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Affiliation(s)
- Xiang Hu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Correspondence should be addressed to L-L Chen or X Hu: or
| | - Qiao Zhang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tian-Shu Zeng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiao-Yue Zhang
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jie Min
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sheng-Hua Tian
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | | | - Miaomiao Peng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Nan Zhang
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengjiao Li
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qing Wan
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fei Xiao
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Chen
- Institute of Big Data and Internet Innovation, Hunan University of Commerce, Changsha, China
| | - Chaodong Wu
- Department of Nutrition and Food Science, Texas A&M University, College Station, Texas, USA
| | - Lu-Lu Chen
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Correspondence should be addressed to L-L Chen or X Hu: or
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He X, Ying L, Ma X, Shen Y, Su H, Peng J, Wang Y, Bao Y, Zhou J, Jia W. An additional measurement of glycated albumin can help prevent missed diagnosis of diabetes in Chinese population. Clin Chim Acta 2017; 475:188-192. [PMID: 29061312 DOI: 10.1016/j.cca.2017.10.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 10/18/2017] [Accepted: 10/19/2017] [Indexed: 12/14/2022]
Abstract
BACKGROUND In subjects who present a first fasting plasma glucose (FPG1) ≥7.0mmol/l without classic symptoms of diabetes, diagnosis of diabetes will likely be missed without an additional oral glucose tolerance test (OGTT) in the Chinese population. Recent studies have shown that glycated albumin (GA) has advantages in reflecting postprandial hyperglycemia. Therefore, the present study evaluated whether additional measurement of GA could reduce the rate of missed diagnosis of diabetes. METHODS A total of 1287 participants (711 men, 576 women) with a FPG1≥7.0mmol/l without classic symptoms of diabetes were enrolled and underwent a 75-g OGTT. Serum GA was measured by a liquid enzyme method. Diabetes was diagnosed based on the 2010 American Diabetes Association (ADA) criteria. RESULTS A total of 992 (77.08%) participants were diagnosed diabetes by OGTT and glycated hemoglobin A1c (HbA1c). The diagnostic validity of 2-h postload plasma glucose (2hPG) was superior to other glycemic index (the diagnostic sensitivity of 2hPG, HbA1c, the second FPG (FPG2) was 87.50%, 73.99%, 63.21%, respectively). Without 2hPG after OGTT, repeat testing of FPG2 alone would result in missed diagnosis of 36.79% of diabetic participants, whereas testing FPG2 with HbA1c was associated with a missed diagnosis rate of 14.31%. While using the combined criteria of FPG2≥7.0mmol/l and/or HbA1c≥6.5% and/or GA≥17.1%, the rate of missed diagnosis was merely 9.48%. That is, the rate of missed diagnosis was reduced by 33.75% with the addition of GA measurement. The k value reflecting the consistency of diagnosis between the FPG2 and/or HbA1c and/or GA criteria and the 2010 ADA criteria was 0.788. CONCLUSIONS For subjects with FPG1 ≥7.0mmol/l without classic symptoms of diabetes, additional measurement of GA can help prevent missed diagnosis of diabetes in Chinese population.
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Affiliation(s)
- Xingxing He
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - Lingwen Ying
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - Xiaojing Ma
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China.
| | - Yun Shen
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - Hang Su
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - Jiahui Peng
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - Yufei Wang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China.
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
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Wang S, Ma W, Yuan Z, Wang SM, Yi X, Jia H, Xue F. Association between obesity indices and type 2 diabetes mellitus among middle-aged and elderly people in Jinan, China: a cross-sectional study. BMJ Open 2016; 6:e012742. [PMID: 27810975 PMCID: PMC5129047 DOI: 10.1136/bmjopen-2016-012742] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The relationship between obesity and type 2 diabetes mellitus (T2DM) varies with geographical area and race. OBJECTIVES To investigate the prevalence of T2DM and the proportion of subjects with undiagnosed T2DM. In addition, to compare the associations between different obesity indices and T2DM for middle-aged and elderly people from six communities in Jinan, China. SETTING A cross-sectional study was designed and the study subjects were chosen from blocks which were randomly selected in the 6 communities of Jinan, China in 2011-2012. PARTICIPANTS A total of 3277 residents aged ≥50 years were eligible for this study, but 1563 people were excluded because they did not provide anthropometric data such as height, weight, waist circumference (WC), hip circumference, systolic blood pressure, diastolic blood pressure, fasting plasma glucose, triglyceride (TG), total cholesterol (TC) or information about their current medication use. Hence, 1714 participants were included in the final data analysis. RESULTS The prevalence of T2DM among people aged ≥50 years was 16.6% (19.3% for men and 15.3% for women) and the proportion of patients with undiagnosed T2DM was 32.7%. Compared with the lowest levels of body mass index (BMI), WC, waist-to-hip ratio or waist-to-stature ratio (WSR), the ORs and 95% CIs of the highest levels for men, after adjusting for age, smoking, alcohol drinking, regular exercise, hypertension, TG and TC, were 1.607 (0.804 to 3.210), 2.189 (1.118 to 4.285), 1.873 (0.968 to 3.623) and 2.572 (1.301 to 5.083), respectively, and for women, 2.764 (1.622 to 4.712), 2.407 (1.455 to 3.985), 2.500 (1.484 to 4.211) and 2.452 (1.447 to 4.155), respectively. CONCLUSIONS Among adults aged ≥50 years in Jinan, China, the best indicator of the relationship between obesity and T2DM is WSR for men and BMI for women, respectively.
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Affiliation(s)
- Shukang Wang
- Department of Biostatistics, School of Public Health, Shandong University, Jinan, China
| | - Wei Ma
- Department of Epidemiology, School of Public Health, Shandong University, Jinan, China
| | - Zhongshang Yuan
- Department of Biostatistics, School of Public Health, Shandong University, Jinan, China
| | - Shu-mei Wang
- Department of Epidemiology, School of Public Health, Shandong University, Jinan, China
| | - Xiangren Yi
- The College of Physical Education, Shandong University, Jinan, China
| | - Hongying Jia
- The Second Hospital of Shandong University, Jinan, China
| | - Fuzhong Xue
- Department of Biostatistics, School of Public Health, Shandong University, Jinan, China
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10
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Guo X, Meng G, Liu F, Zhang Q, Liu L, Wu H, Du H, Shi H, Xia Y, Liu X, Li C, Bao X, Su Q, Gu Y, Fang L, Yu F, Yang H, Yu B, Sun S, Wang X, Zhou M, Jia Q, Chen X, Huang G, Song K, Niu K. Serum levels of immunoglobulins in an adult population and their relationship with type 2 diabetes. Diabetes Res Clin Pract 2016; 115:76-82. [PMID: 27242126 DOI: 10.1016/j.diabres.2016.03.007] [Citation(s) in RCA: 19] [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: 10/21/2015] [Revised: 01/29/2016] [Accepted: 03/04/2016] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Some studies have found patients with diabetes had an impaired humoral immune response. Immunoglobulins provide key information on the humoral immune status. But few population-based studies comprehensively estimated the serum immunoglobulins concentration in type 2 diabetes (T2D). So we design a cross-sectional study to investigate the relationships between immunoglobulin levels and prevalence of T2D in a large-scale adult population. METHODS A cross-sectional assessment was performed in 10,691 participants living in Tianjin, China. Type 2 diabetes was defined in accordance with the criteria of the world health organization, and serum levels of immunoglobulins were determined by the immunonephelometric technique. Adjusted logistic models were used to assess relationships between the quintiles of immunoglobulins concentration and the prevalence of T2D. RESULTS In this study, the prevalence of T2D was 11.7%, and the means (standard deviation) of immunoglobulins (IgG, IgE, IgM, IgA) were 1192.3 (241.1)mg/dL, 92.3 (234.6)IU/mL, 104.8 (55.8)mg/dL, 234.1 (96.2)mg/dL, respectively. The adjusted odds ratio (95% confidence interval) of T2D for the highest immunoglobulins (IgG, IgE, IgM, IgA) quintile, when compared to the lowest quintile were 0.64 (0.52, 0.78), 1.00 (0.81, 1.22), 0.77 (0.62, 0.95) and 1.57 (1.29, 1.92), respectively. CONCLUSIONS Decreased IgG and IgM, and increased IgA levels were independently related to the prevalence of T2D among the adult population. Our findings indicate that the immunoglobulins might useful predictive factors for T2D in the general adult population. Further studies are needed to explore the causality and exact mechanisms of immunoglobulins in T2D.
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Affiliation(s)
- Xiaoyan Guo
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Fangfang Liu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Huanmin Du
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hongbin Shi
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Yang Xia
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xing Liu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Chunlei Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xue Bao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qian Su
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Liyun Fang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Fei Yu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Huijun Yang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Bin Yu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xin Chen
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Guowei Huang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
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