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Shen I, Usala RL, Mohseni M, Bouxsein ML, Mitchell DM, Scheller EL. Adolescent girls with type 1 diabetes develop changes in bone prior to evidence of clinical neuropathy. J Clin Endocrinol Metab 2024:dgae511. [PMID: 39056255 DOI: 10.1210/clinem/dgae511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/30/2024] [Accepted: 07/23/2024] [Indexed: 07/28/2024]
Abstract
CONTEXT Neuropathy and fracture are prevalent complications of type 1 diabetes (T1D). Although correlated in the clinical literature, it remains unknown whether neuropathy contributes to the initiation of bone loss at the earliest stages of disease. METHODS We performed a single-center, cross-sectional study to quantify parameters of nerve and bone health in adolescent girls with T1D (n=21) and associated controls (n=12). Groups were well matched for age, height, strength, and physical activity. RESULTS By HR-pQCT, participants with T1D had lower trabecular bone volume fraction at the distal radius (-14.6%, p-adj=0.095) and the tibia (-12.8%, p-adj=0.017) and decreased trabecular thickness (-8.3% radius, p-adj=0.007; -7.5% tibia, p-adj=0.034) after adjustment for body size. In the tibia only, cortical bone mineral density was increased by 8.6% (p-adj=0.024) and porosity was decreased by 52.9% with T1D (p-adj=0.012). There were no significant differences in bone density by DXA. Participants with T1D also had lower circulating levels of osteocalcin (-30%, p=0.057), and type I collagen cross-linked C-telopeptide (-36%, p=0.035), suggesting low bone formation and turnover in T1D. Based on the Michigan Neuropathy Screening Instrument, 9.5% of those with T1D had clinical evidence of diabetic peripheral neuropathy. However, consideration of neuropathy status failed to explain the widespread T1D-associated changes in bone. CONCLUSION Our study defines early deficits in trabecular bone microarchitecture, decreased cortical porosity in the tibia, and suppression of biomarkers of bone turnover in adolescent girls with T1D, prior to the onset of symptomatic peripheral neuropathy. These findings inform our understanding of the rapid progression of skeletal disease in young girls with T1D and suggests that early detection and management strategies may help to prevent fracture and related co-morbidities later in life.
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Affiliation(s)
- Ivana Shen
- Division of Bone and Mineral Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Rachel L Usala
- Division of Bone and Mineral Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Division of Endocrinology, Metabolism, and Lipid Research, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Mahshid Mohseni
- Division of Bone and Mineral Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Mary L Bouxsein
- Endocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Deborah M Mitchell
- Endocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Erica L Scheller
- Division of Bone and Mineral Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center of Regenerative Medicine, Washington University, St. Louis, MO, USA
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Gao L, Qin J, Chen Y, Jiang W, Zhu D, Zhou X, Ding J, Qiu H, Zhou Y, Dong Q, Guan Y. Risk Factors for Subclinical Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus. Diabetes Metab Syndr Obes 2024; 17:417-426. [PMID: 38288341 PMCID: PMC10823870 DOI: 10.2147/dmso.s433024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 12/21/2023] [Indexed: 01/31/2024] Open
Abstract
Purpose To investigate the risk factors associated with subclinical diabetic peripheral neuropathy (sDPN) in patients with type 2 diabetes mellitus (T2DM). Patients and Methods This cross-sectional, retrospective study involved 311 patients with T2DM who were successively admitted from January 2018 to December 2021 without any neurological symptoms. All participants underwent a nerve conduction study (NCS), and those asymptomatic patients with abnormal nerve conduction were diagnosed with sDPN. Differences between groups were evaluated by the chi-squared, Wilcoxon, or Fisher's exact test. Binary logistic regression analysis was performed to determine the independent risk factors for sDPN. Receiver operating characteristic (ROC) curves were constructed, and the areas under curves (AUCs) were detected. Results Among 311 asymptomatic patients with T2DM, 142 (45.7%) with abnormal nerve conduction were diagnosed with sDPN. Patients with sDPN significantly differed from those without diabetic peripheral neuropathy (DPN) in age, history of hypertension, duration of diabetes, anemia, neutrophil-to-lymphocyte ratio, fasting C-peptide level, serum creatinine level, and albuminuria (all p<0.05). Furthermore, the duration of diabetes (odds ratio [OR]: 1.062, 95% confidence interval [CI]: 1.016-1.110), fasting C-peptide level (OR: 2.427, 95% CI: 1.126-5.231), and presence of albuminuria (OR: 2.481, 95% CI: 1.406-4.380) were independently associated with the development of sDPN (all p<0.05). The AUCs for fasting C-peptide level, duration of diabetes, and the two factors combined were 0.6229 (95% CI: 0.5603-0.6855, p=0.0002), 0.6738 (95% CI: 0.6142-0.7333, p<0.0001), and 0.6808 (95% CI: 0.6212-0.7404, p<0.0001), respectively. Conclusion For patients with T2DM and longer duration of diabetes, lower fasting C-peptide levels, and presence with albuminuria, the risk for developing DPN is higher even if they have no clinical signs or symptoms. Identifying potential risk factors for the development of sDPN and effectively controlling them early are critical for the successful management of DPN.
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Affiliation(s)
- Li Gao
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Jiexing Qin
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Ying Chen
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Wenqun Jiang
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Desheng Zhu
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Xiajun Zhou
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Jie Ding
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Huiying Qiu
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Yan Zhou
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Qing Dong
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Yangtai Guan
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
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Erandathi MA, Wang WYC, Mayo M, Lee CC. Comprehensive Factors for Predicting the Complications of DiabetesMellitus: A Systematic Review. Curr Diabetes Rev 2024; 20:e040124225240. [PMID: 38178670 PMCID: PMC11327746 DOI: 10.2174/0115733998271863231116062601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND This article focuses on extracting a standard feature set for predicting the complications of diabetes mellitus by systematically reviewing the literature. It is conducted and reported by following the guidelines of PRISMA, a well-known systematic review and meta-analysis method. The research articles included in this study are extracted using the search engine "Web of Science" over eight years. The most common complications of diabetes, diabetic neuropathy, retinopathy, nephropathy, and cardiovascular diseases are considered in the study. METHOD The features used to predict the complications are identified and categorised by scrutinising the standards of electronic health records. RESULT Overall, 102 research articles have been reviewed, resulting in 59 frequent features being identified. Nineteen attributes are recognised as a standard in all four considered complications, which are age, gender, ethnicity, weight, height, BMI, smoking history, HbA1c, SBP, eGFR, DBP, HDL, LDL, total cholesterol, triglyceride, use of insulin, duration of diabetes, family history of CVD, and diabetes. The existence of a well-accepted and updated feature set for health analytics models to predict the complications of diabetes mellitus is a vital and contemporary requirement. A widely accepted feature set is beneficial for benchmarking the risk factors of complications of diabetes. CONCLUSION This study is a thorough literature review to provide a clear state of the art for academicians, clinicians, and other stakeholders regarding the risk factors and their importance.
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Affiliation(s)
| | | | | | - Ching-Chi Lee
- National Chen Kung University Hospital, Tainan, Taiwan
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Soheilipour F, Abbasi Kasbi N, Imankhan M, Eskandari D. Complications and Treatment of Early-Onset Type 2 Diabetes. Int J Endocrinol Metab 2023; 21:e135004. [PMID: 38028250 PMCID: PMC10676662 DOI: 10.5812/ijem-135004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 07/12/2023] [Accepted: 07/15/2023] [Indexed: 12/01/2023] Open
Abstract
Context Global reports have revealed a dramatic rise in the number of patients diagnosed with type 2 diabetes (T2DM) over the past three decades in all age groups, even in children and adolescents. The physiologic phenomenon of insulin resistance during puberty, as well as genetic and epigenetic factors, are implicated in this phenomenon. It seems that patients with early-onset T2DM experience a more aggressive clinical course; however, limited treatments available for these patients pose a challenge. This narrative review intends to scrutinize the micro- and macrovascular complications and treatments of patients with early-onset T2DM. Methods The literature search was conducted in the PubMed database to identify all relevant original English articles published from the beginning of 2018 until January 2023. Results Vascular complications, such as albuminuria, hypertension, cardiovascular diseases, and retinopathy, were seen to be more common in early-onset T2DM compared to type 1 diabetes. The odds ratio of vascular complications was higher in early-onset compared to late-onset T2DM. In children and adolescents with T2DM, the only approved medications included metformin, insulin, and glucagon-like peptide-1 agonists. Treatment of early-onset T2DM with metformin monotherapy cannot yield durable glycemic control, and most patients need early combination therapy. Conclusions During the past years, the frequency of early-onset T2DM has been growing at an alarming rate. Vascular complications in these patients seem more aggressive and more challenging to control. Hence, further clinical trials should be conducted to develop novel therapeutic approaches and evaluate their long-term benefits in terms of glycemic control and preventing future complications.
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Affiliation(s)
- Fahimeh Soheilipour
- Minimally Invasive Surgery Research Center, Aliasghar Children Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Naghmeh Abbasi Kasbi
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Delaram Eskandari
- Department of Endocrinology, Rasool Akram Medical Complex, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
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Pan Q, Fei S, Zhang L, Chen H, Luo J, Wang W, Xiao F, Guo L. How does diabetic peripheral neuropathy impact patients' burden of illness and the economy? A retrospective study in Beijing, China. Front Public Health 2023; 11:1164536. [PMID: 37250086 PMCID: PMC10213523 DOI: 10.3389/fpubh.2023.1164536] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/12/2023] [Indexed: 05/31/2023] Open
Abstract
Objective Diabetic peripheral neuropathy (DPN) causes significant illness in patients and has a negative impact on the economy. The objective of this study is to evaluate the cost and quantity of anti-diabetic drugs needed by patients with or without DPN, as well as their variation trends in Beijing between 2016 and 2018. Methods This observational cross-sectional study used data on diabetic patients with outpatient medication records obtained from Beijing Medical Insurance from 2016 to 2018. The medications, comorbidities, diabetes-related complications, treatment strategies, and costs of drug treatment were compared between DPN patients and non-DPN patients. Results Of the 28,53,036 diabetic patients included in the study, 3,75,216 (13.15%) had DPN and 1,87,710 (50.03%) of the DPN patients were women. Compared with non-DPN patients, DPN patients used more mediations (4.7 ± 2.47 vs. 3.77 ± 2.32, p < 0.0001, in 2018) to treat related complications and comorbidities (2.03 ± 1.2 vs. 1.71 ± 1.05; 2.68 ± 1.93 vs. 2.06 ± 1.86, p < 0.0001, respectively, in 2018). The total annual costs of drug treatment were higher in DPN patients than in non-DPN patients (¥12583.25 ± 10671.48 vs. ¥9810.91 ± 9234.14, p < 0.0001, in 2018). The usage of DDP4i increased from 2.55 to 6.63% in non-DPN patients and from 4.45 to 10.09% in DPN patients from 2017 to 2018. Conclusions The number of comorbidities, diabetic complications, medications, and annual drug treatment costs were greater in DPN patients than in non-DPN patients.
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Affiliation(s)
- Qi Pan
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Sijia Fei
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Lina Zhang
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Huan Chen
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Jingyi Luo
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Weihao Wang
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Fei Xiao
- The Key Laboratory of Geriatrics, Beijing Institution of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Lixin Guo
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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Rodriquez IM, O’Sullivan KL. Youth-Onset Type 2 Diabetes: Burden of Complications and Socioeconomic Cost. Curr Diab Rep 2023; 23:59-67. [PMID: 36961664 PMCID: PMC10037371 DOI: 10.1007/s11892-023-01501-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/08/2023] [Indexed: 03/25/2023]
Abstract
PURPOSE OF REVIEW With the rise in prevalence of youth-onset type 2 diabetes (T2DM), it is imperative to understand the clinical burden of the disease and the socioeconomic burden this disease imposes. We review the most recent data on youth-onset T2DM, including its pathophysiology, complications, and treatment. We also review existing data to determine the socioeconomic burden of youth-onset T2DM. RECENT FINDINGS The incidence of youth-onset T2DM is rising, and significantly accelerated following the COVID-19 pandemic. Youth with T2DM are more frequently from families of racial/ethnic minorities and lower socioeconomic status. Youth-onset T2DM has more rapid disease progression compared to adult-onset type 2 diabetes. It results in earlier and more severe microvascular and macrovascular complications compared to both adult-onset T2DM and youth-onset type 1 diabetes (T1DM). While there is a lack of data describing the socioeconomic cost of youth-onset T2DM, based on extrapolation from analyses of the burden of T2DM in adults and T1DM in youth, we propose that youth-onset T2DM has higher direct and indirect costs than adult-onset T2DM. Youth-onset T2DM presents a significant clinical and socioeconomic burden due to its aggressive presentation and earlier appearance of complications. Additional research is needed regarding the cost of illness in this population.
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Affiliation(s)
- Isabella Marranzini Rodriquez
- Medical Center, Section of Adult & Pediatric Endocrinology, Diabetes & Metabolism, University of Chicago, 5841 S. Maryland Avenue, MC 5053, Chicago, IL 60637 USA
| | - Katie L. O’Sullivan
- Medical Center, Section of Adult & Pediatric Endocrinology, Diabetes & Metabolism, University of Chicago, 5841 S. Maryland Avenue, MC 5053, Chicago, IL 60637 USA
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Perng W, Conway R, Mayer-Davis E, Dabelea D. Youth-Onset Type 2 Diabetes: The Epidemiology of an Awakening Epidemic. Diabetes Care 2023; 46:490-499. [PMID: 36812420 PMCID: PMC10090267 DOI: 10.2337/dci22-0046] [Citation(s) in RCA: 44] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 11/26/2022] [Indexed: 02/24/2023]
Abstract
In this narrative review, we describe the epidemiology (prevalence, incidence, temporal trends, and projections) of type 2 diabetes among children and adolescents (<20 years), focusing on data from the U.S. and reporting global estimates where available. Secondarily, we discuss the clinical course of youth-onset type 2 diabetes, from prediabetes to complications and comorbidities, drawing comparisons with youth type 1 diabetes to highlight the aggressive course of this condition, which, only recently, has become recognized as a pediatric disease by health care providers. Finally, we end with an overview of emerging topics in type 2 diabetes research that have potential to inform strategies for effective preventive action at the community and individual levels.
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Affiliation(s)
- Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Rebecca Conway
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | | | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
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Zhang W, Chen L. A Nomogram for Predicting the Possibility of Peripheral Neuropathy in Patients with Type 2 Diabetes Mellitus. Brain Sci 2022; 12:brainsci12101328. [PMID: 36291262 PMCID: PMC9599450 DOI: 10.3390/brainsci12101328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 09/25/2022] [Accepted: 09/28/2022] [Indexed: 11/21/2022] Open
Abstract
Background and Purpose: Diabetic peripheral neuropathy (DPN) leads to ulceration, noninvasive amputation, and long-term disability. This study aimed to develop and validate a nomogram for forecasting the probability of DPN in type 2 diabetes mellitus patients. Methods: From February 2017 to May 2021, 778 patients with type 2 diabetes mellitus were included in this study. We confirmed the diagnosis of DPN according to the Toronto Expert Consensus. Patients were randomly divided into a training cohort (n = 519) and a validation cohort (n = 259). In the training cohort, univariate and multivariate logistic regression analyses were performed, and a simple nomogram was built using the stepwise method. The receiver operating characteristic (ROC), calibration curve, and decision curve analysis were computed in order to validate the discrimination and clinical value of the nomogram model. Results: About 65.7% and 72.2% of patients were diagnosed with DPN in the training and validation cohorts. We developed a novel nomogram to predict the probability of DPN based on the parameters of age, gender, duration of diabetes, body mass index, uric acid, hemoglobin A1c, and free triiodothyronine. The areas under the curves (AUCs) of the nomogram model were 0.763 in the training cohort and 0.755 in the validation cohort. The calibration plots revealed well-fitted accuracy between the predicted and actual probability in the training and validation cohorts. Decision curve analysis confirmed the clinical value of the nomogram. In subgroup analysis, the predictive ability of the nomogram model was strong. Conclusions: The nomogram of age, gender, duration of diabetes, body mass index, uric acid, hemoglobin A1c, and free triiodothyronine may assist clinicians with the early identification of DPN in patients with type 2 diabetes mellitus.
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Affiliation(s)
| | - Lingli Chen
- Correspondence: ; Tel./Fax: +86-577-555-54543
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