1
|
Fang Y, Yuan X, Zhang Q, Liu J, Yao Q, Ye X. Causality between sarcopenia and diabetic neuropathy. Front Endocrinol (Lausanne) 2024; 15:1428835. [PMID: 39345878 PMCID: PMC11427279 DOI: 10.3389/fendo.2024.1428835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 08/27/2024] [Indexed: 10/01/2024] Open
Abstract
Background Past studies have demonstrated that diabetic neuropathy is related to sarcopenia, but the further causal relation is still unclear. We sought to investigate the causal relationship by combining data from cross-sectional and Mendelian randomization (MR) studies. Methods The genome-wide association studies data were collected from the UK Biobank and the European Working Group on Sarcopenia to conduct a bi-directional two-sample MR study to explore the causality between diabetic neuropathy and relevant clinical traits of sarcopenia, including appendicular lean mass (ALM), walking speed and low hand grip strength. The inverse-variance weighted and various sensitivity analyses were used to obtain MR estimates. We also enrolled a total of 196 Type 2 diabetes patients from April 2021 to April 2024 and divided them into the Distal peripheral neuropathy (DPN) group (n=51) and non-DPN group (n=145) via vibration perception threshold (VPT) and neuropathy deficit score. Logistic regression and ROC curve analysis were used to investigate the relationship between DPN and relevant sarcopenia clinical features. Results According to a forward MR analysis, decreased walking speed (OR: 0.04, 95% confidence interval (CI): 0.01-0.16; P<0.001) and increased ALM (1.25 [1.05-1.50], P=0.012) had a causal effect on developing diabetic neuropathy. According to reverse MR results, developing diabetic neuropathy had a causal effect on decreased walking speed (0.99 [0.99-1.00], P=0.007) and low grip strength (1.05 [1.02-1.08], P<0.001). The cross-sectional study showed that 5-time stand time (P=0.002) and 6-meter walking speed (P=0.009) had an inverse association with DPN. Additionally, we discovered that ASMI (P=0.030) and 5-time stand time (P=0.013) were separate risk factors for DPN.ConclusionThe MR study suggested that diabetic neuropathy may have a causality with relevant clinical traits of sarcopenia, and our cross-sectional study further proved that sarcopenia indexes are predictors of diabetic neuropathy.
Collapse
Affiliation(s)
- Yi Fang
- Department of Endocrinology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Xiaoqing Yuan
- Department of Endocrinology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Qing Zhang
- Department of Endocrinology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
- Changzhou Medical Center, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Juan Liu
- Department of Endocrinology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Qing Yao
- Department of Endocrinology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Xinhua Ye
- Department of Endocrinology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
- Changzhou Medical Center, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| |
Collapse
|
2
|
Chattopadhyay S, Goswami S, Sengupta N, Baidya A. Can the 128-Hz tuning fork be an alternative to the biothesiometer for diabetic peripheral neuropathy screening? A cross-sectional study in a tertiary hospital in East India. BMJ Open 2024; 14:e082193. [PMID: 38862223 PMCID: PMC11168183 DOI: 10.1136/bmjopen-2023-082193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 05/29/2024] [Indexed: 06/13/2024] Open
Abstract
INTRODUCTION Diabetic neuropathy is frequently underdiagnosed and undertreated. Logistic problems accompany the routine use of the biothesiometer. Hence, we attempted to find a more easily available alternative. RESEARCH DESIGN AND METHODS 149 patients with diabetes visiting the outpatient endocrinology clinic were assessed for vibration sense using a 128-Hz tuning fork (absolute timing method) and a biothesiometer. A reading of >25 V on the biothesiometer (known as vibration perception threshold or VPT) was taken as the diagnostic criterion for severe neuropathy while >15 V was used as an indicator of the mild form. The sensitivity and specificity were calculated by constructing the receiver operating characteristic curve (ROC). A p value of <0.05 was considered as statistically significant. RESULTS The timed tuning fork (TTF) test showed a statistically significant correlation with the VPT measurements (r=-0.5, p=0.000). Using the VPT findings as a reference, a timed tuning fork cut-off of 4.8 s was 76% sensitive and 77% specific in diagnosing mild neuropathy while absent tuning fork sensation demonstrated 70% sensitivity and 90% specificity in detecting severe neuropathy. CONCLUSIONS The tuning fork test demonstrated significant sensitivity and specificity in diagnosing diabetic peripheral neuropathy when compared against the biothesiometer. A cut-off of 4.8 s can be a useful indicator of the early stages of onset of the condition.
Collapse
Affiliation(s)
| | - Soumik Goswami
- Department of Endocrinology, Nilratan Sircar Medical College, Kolkata, West Bengal, India
| | - Nilanjan Sengupta
- Department of Endocrinology, Nilratan Sircar Medical College, Kolkata, West Bengal, India
| | - Arjun Baidya
- Department of Endocrinology, Nilratan Sircar Medical College, Kolkata, West Bengal, India
| |
Collapse
|
3
|
Zhang Y, Zheng B, Li Y, Shen X, Huang L, Zhao F, Yan S. Association of high vibration perception threshold with reduced renal function in patients with type 2 diabetes. Front Endocrinol (Lausanne) 2024; 15:1357294. [PMID: 38872969 PMCID: PMC11169863 DOI: 10.3389/fendo.2024.1357294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 05/14/2024] [Indexed: 06/15/2024] Open
Abstract
Objective To investigate the correlation between vibration sensory threshold (VPT) and renal function, including glomerulus and renal tubule, in patients with type 2 diabetes mellitus (T2DM). Methods A total of 1274 patients with T2DM who were enrolled in the Department of Endocrinology of the First Affiliated Hospital of Fujian Medical University between January 2017 and June 2020 were included. Patients were grouped according to VPT levels and divided into three groups, including the normal VPT group (VPT<15V), the mild-moderate elevated VPT group (VPT15~25V), and the severely elevated VPT group (VPT≥25 V). Linear correlation analysis was used to analyze the correlation between VPT and renal functions, including glomerulus markers urine microalbumin (MA) and urinary immunoglobulin G (U-IgG), and renal tubule marker α1-microglobulin (α1-MG). Chronic kidney disease (CKD) was defined according to Kidney Disease Improving Global Outcomes (KDIGO) criteria. The binary logistic regression of the relation between VPT and CKD, eGFR<60 ml/min, and UACR >30 mg/g were expressed. Results In the mild-moderate and severely elevated VPT group, injury biomarkers of glomerulus (MA and U-IgG), renal tubule (α1-MG), and the incidence of CKD, eGFR<60 ml/min, and UACR > 30 mg/g were gradually increased compared with the normal VPT group. Furthermore, patients with diabetes and severely elevated VPT had significantly higher levels of MA (β=197.54, p=0.042) and α1-MG (β=11.69, p=0.023) compared to those with normal VPT. Also, patients with mild-moderate elevated VPT demonstrate significantly higher levels of MA (β=229.02, p=0.005). Patients in mild-moderate elevated VPT group (OR=1.463, 95% CI 1.005-2.127; OR=1.816, 95% CI 1.212-2.721) and severely elevated VPT group (OR=1.704, 95% CI 1.113-2.611; OR=2.027, 95% CI 1.248-3.294) are at a higher incidence of CKD and elevated levels of UACR>30mg/g compared to those in the VPT normal group. Moreover, the incidence of positive Upro was notably higher in the severely elevated VPT group (OR=1.738, 95% CI 1.182-2.556). However, this phenomenon was not observed in the incidence of eGFR <60 ml/min. Conclusion A higher VPT is positively associated with the incidence of CKD in patients with T2DM, particularly with elevated UACR. VPT may serve as a marker for glomerulus and renal tubule injury.
Collapse
Affiliation(s)
- Yongze Zhang
- Department of Endocrinology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Endocrinology, National Regional Medical Center, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Metabolic Diseases of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolism, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Diabetes Research Institute of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Metabolic Diseases Research Institute, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Biao Zheng
- Department of Endocrinology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Endocrinology, National Regional Medical Center, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Metabolic Diseases of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolism, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Diabetes Research Institute of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Metabolic Diseases Research Institute, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Yimei Li
- Department of Endocrinology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Endocrinology, National Regional Medical Center, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Metabolic Diseases of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolism, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Diabetes Research Institute of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Metabolic Diseases Research Institute, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Ximei Shen
- Department of Endocrinology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Endocrinology, National Regional Medical Center, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Metabolic Diseases of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolism, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Diabetes Research Institute of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Metabolic Diseases Research Institute, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Lingning Huang
- Department of Endocrinology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Endocrinology, National Regional Medical Center, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Metabolic Diseases of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolism, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Diabetes Research Institute of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Metabolic Diseases Research Institute, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Fengying Zhao
- Department of Endocrinology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Endocrinology, National Regional Medical Center, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Metabolic Diseases of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolism, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Diabetes Research Institute of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Metabolic Diseases Research Institute, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Sunjie Yan
- Department of Endocrinology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Endocrinology, National Regional Medical Center, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Clinical Research Center for Metabolic Diseases of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Glycolipid and Bone Mineral Metabolism, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Diabetes Research Institute of Fujian Province, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Metabolic Diseases Research Institute, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| |
Collapse
|
4
|
Zhong Y, Liu X, Lin T. The Relationship between Muscle Ultrasound Parameters and Diabetic Peripheral Neuropathy among Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study. J Diabetes Res 2023; 2023:8897065. [PMID: 38148834 PMCID: PMC10751167 DOI: 10.1155/2023/8897065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 11/20/2023] [Accepted: 12/07/2023] [Indexed: 12/28/2023] Open
Abstract
Background Muscle dysfunction is an early complication of diabetic peripheral neuropathy (DPN). As a convenient and low-cost tool, muscle ultrasound has been used to assess muscle quality and muscle mass. However, the relationship between different muscle ultrasound parameters and DPN is unclear. Objectives This study was designed to investigate the relationship between ultrasound parameters of different muscles and DPN among patients with type 2 diabetes mellitus, including the rectus femoris (RF), tibialis anterior (TA), and medial head of gastrocnemius (MG). Materials and Methods The research enrolled 90 patients with type 2 diabetes mellitus (T2DM). All images were attained from both sides. Muscle measurements contained muscle thickness (MT), cross-sectional area (CSA), echo intensity (EI), and corrected EI. The binary logistic regression and multiple linear regression were used to investigate the association between muscle ultrasound parameters and DPN or vibration perception threshold (VPT). Results EI, corrected EI, MT of MG, and EI of TA were associated with DPN separately after adjusting other clinical variates. Among these muscle parameters, the EI of MG had a better predictive value (OR: 1.114, 95% CI: 1.039, 1.196) of DPN. Combined with CSA of RF, peripheral artery disease (PAD), and sex, the corrected EI of MG was associated with the vibration perception threshold (VPT) (standard β = 0.242, p < 0.001), better than the EI of MG (standard β = 0.215, p = 0.002). Conclusions MG (MT, EI, and corrected EI) and TA (EI) were associated with DPN, respectively. CSA of RF and corrected EI or EI of MG combined with PAD and sex were associated with VPT significantly, which supported that muscle ultrasound might be a substantial quantitative tool for detecting the exercise benefits for DPN.
Collapse
Affiliation(s)
- Yanling Zhong
- Department of Ultrasound, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, China
- Shantou University Medical College, Shantou, Guangdong 515000, China
| | - Xiaojia Liu
- Department of Ultrasound, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, China
| | - Teng Lin
- Department of Ultrasound, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, China
| |
Collapse
|
5
|
Li J, Zhang X, Zhang Y, Dan X, Wu X, Yang Y, Chen X, Li S, Xu Y, Wan Q, Yan P. Increased Systemic Immune-Inflammation Index Was Associated with Type 2 Diabetic Peripheral Neuropathy: A Cross-Sectional Study in the Chinese Population. J Inflamm Res 2023; 16:6039-6053. [PMID: 38107379 PMCID: PMC10723178 DOI: 10.2147/jir.s433843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/08/2023] [Indexed: 12/19/2023] Open
Abstract
Background Systemic immune-inflammation index (SII), a novel inflammatory marker, has been demonstrated to be associated with type 2 diabetes mellitus (T2DM) and its vascular complications, however, the relation between SII and diabetic peripheral neuropathy (DPN) has been never reported. We aimed to explore whether SII is associated with DPN in Chinese population. Methods A cross-sectional study was conducted among 1460 hospitalized patients with T2DM. SII was calculated as the platelet count × neutrophil count/lymphocyte count, and its possible association with DPN was investigated by correlation and multivariate logistic regression analysis, and subgroup analyses. Results Patients with higher SII quartiles had higher vibration perception threshold and prevalence of DPN (all P<0.01), and SII was independently positively associated with the prevalence of DPN (P<0.01). Multivariate logistic regression analysis showed that the risk of prevalence of DPN increased progressively across SII quartiles (P for trend <0.01), and participants in the highest quartile of SII was at a significantly increased risk of prevalent DPN compared to those in the lowest quartile after adjustment for potential confounding factors (odds rate: 1.211, 95% confidence intervals 1.045-1.404, P<0.05). Stratified analysis revealed positive associations of SII quartiles with risk of prevalent DPN only in men, people less than 65 years old, with body mass index <24 kg/m2, duration of diabetes >5 years, hypertension, dyslipidaemia, poor glycaemic control, and estimated glomerular filtration rate <90 mL/min/1.73 m2 (P for trend <0.01 or P for trend <0.05). The receiver operating characteristic curve analysis revealed that the optimal cut-off point of SII for predicting DPN was 617.67 in patients with T2DM, with a sensitivity of 45.3% and a specificity of 73%. Conclusion The present study showed that higher SII is independently associated with increased risk of DPN, and SII might serve as a new risk biomarker for DPN in Chinese population.
Collapse
Affiliation(s)
- Jia Li
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of China
| | - Xing Zhang
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of China
| | - Yi Zhang
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of China
| | - Xiaofang Dan
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of China
| | - Xian Wu
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of China
| | - Yuxia Yang
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of China
| | - Xiping Chen
- Clinical medical college, Southwest Medical University, Luzhou, People’s Republic of China
| | - Shengxi Li
- Basic Medical College, Southwest Medical University, Luzhou, People’s Republic of China
| | - Yong Xu
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of China
| | - Qin Wan
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of China
| | - Pijun Yan
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of China
| |
Collapse
|
6
|
Sharma K N S, Kumar H A. Assessment of the diagnostic accuracy of Vibrasense compared to a biothesiometer and nerve conduction study for screening diabetic peripheral neuropathy. J Foot Ankle Res 2023; 16:65. [PMID: 37770911 PMCID: PMC10537102 DOI: 10.1186/s13047-023-00667-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/19/2023] [Indexed: 09/30/2023] Open
Abstract
AIMS Peripheral neuropathy is a common microvascular complication in diabetes and a risk factor for the development of diabetic foot ulcers and amputations. Vibrasense (Ayati Devices) is a handheld, battery-operated, rapid screening device for diabetic peripheral neuropathy (DPN) that works by quantifying vibration perception threshold (VPT). In this study, we compared Vibrasense against a biothesiometer and nerve conduction study for screening DPN. METHODS A total of 562 subjects with type 2 diabetes mellitus underwent neuropathy assessments including clinical examination, 10-g monofilament test, VPT evaluation with Vibrasense and a standard biothesiometer. Those with an average VPT ≥ 15 V with Vibrasense were noted to have DPN. A subset of these patients (N = 61) underwent nerve conduction study (NCS). Diagnostic accuracy of Vibrasense was compared against a standard biothesiometer and abnormal NCS. RESULTS Average VPTs measured with Vibrasense had a strong positive correlation with standard biothesiometer values (Spearman's correlation 0.891, P < 0.001). Vibrasense showed sensitivity and specificity of 87.89% and 86.81% compared to biothesiometer, and 82.14% and 78.79% compared to NCS, respectively. CONCLUSIONS Vibrasense demonstrated good diagnostic accuracy for detecting peripheral neuropathy in type 2 diabetes and can be an effective screening device in routine clinical settings. TRIAL REGISTRATION Clinical trials registry of India (CTRI/2022/11/047002). Registered 3 November 2022. https://ctri.nic.in/Clinicaltrials/pmaindet2.php?trialid=76167 .
Collapse
Affiliation(s)
- Srihari Sharma K N
- College of Physiotherapy, Dayananda Sagar University, Shavige Malleshwara Hills, 1st Stage, Kumaraswamy Layout, Bangalore, Karnataka, India, 560111.
| | - Anil Kumar H
- Department of Medicine, Dr Chandramma Dayananda Sagar Institute of Medical Education and Research (CDSIMER), Kanakapura, Karnataka, India
| |
Collapse
|
7
|
Kojima C, Himeno T, Akao M, Kamiya H, Nakamura J. Multifocal Neuroarthropathy of the Knee and Foot Induced by Physical Training of the Lower Extremities in a Patient With Latent Autoimmune Diabetes in Adults. Cureus 2022; 14:e28163. [PMID: 36148208 PMCID: PMC9482758 DOI: 10.7759/cureus.28163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2022] [Indexed: 11/05/2022] Open
|
8
|
Zheng Y, Du X, Yin L, Liu H. Effect of electrical stimulation on patients with diabetes-related ulcers: a systematic review and meta-analysis. BMC Endocr Disord 2022; 22:112. [PMID: 35477391 PMCID: PMC9044601 DOI: 10.1186/s12902-022-01029-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 04/20/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND This study aimed to systematically review the literature to better understand the efficacy of electrical stimulation (ES) for the treatment of patients with diabetes-related ulcers. METHODS We searched the Embase, Medline, and Cochrane Library databases through July 31, 2021. Original trials for ES treatment of patients with diabetes-related ulcers with placebo or standard care as the control group were included. The primary outcomes were ulcer area reduction and healing rates. Meta-analyses were performed to compare the standardized mean difference (SMD) in the percentage of ulcer reduction and risk ratio of non-healing rates between ES treatment and placebo or standard care. We used the Revised Cochrane risk-of-bias tool for randomized trials to assess the risk of bias for each included article. Funnel plots and Egger's test were used to assess publication bias. RESULTS Compared to placebo or standard care, ES had a significant benefit for the treatment of patients with diabetes-related ulcers in terms of percentage of ulcer reduction (SMD = 2.56, 95% CI: 1.43-3.69; P < 0.001 (Q-test), I2 = 93.9%) and ulcer healing rates [risk ratio of non-healing rates for the ES group was 0.72 (95% CI: 0.54-0.96; P = 0.38 (Q-test), I2 = 2.3%)]. Two, four, and three of the included studies were categorized into low risk of bias, some concerns, and high risk of bias, respectively. No publication bias was found. CONCLUSIONS Based on the findings of this meta-analysis, ES could be used to treat patients with diabetes-related ulcers. ES treatment was effective for ulcer area reduction and ulcer healing, although it had a high heterogeneity level among the included studies. Pulsed current ES has the potential benefit of increasing ulcer healing compared to direct current ES. Further large-scale clinical trials are needed to define the adverse events and potentiators of ES in the treatment of patients with diabetes-related ulcers.
Collapse
Affiliation(s)
- Yinhua Zheng
- Department of Rehabilitation Medicine, The First Hospital of Jilin University, No.1, Xinmin Street, Chang Chun, 130021, Jilin Province, China.
| | - Xue Du
- Department of Clinical Laboratory Medicine, Affiliated Hospital, Changchun University of Chinese Medicine, Changchun, 130021, China
| | - Liquan Yin
- Department of Rehabilitation Medicine, The Third Hospital of Jilin University, Changchun, 130033, China
| | - Hongying Liu
- Department of Rehabilitation Medicine, The First Hospital of Jilin University, No.1, Xinmin Street, Chang Chun, 130021, Jilin Province, China
| |
Collapse
|