对“纵向HbA1c变异性在预测2型糖尿病患者糖尿病感觉运动多神经病变发展中的预后价值:一项前瞻性队列观察研究”的评论。

IF 3.1 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Fatemeh Rasulpur, Mohammad Barary, Mostafa Javanian, Soheil Ebrahimpour
{"title":"对“纵向HbA1c变异性在预测2型糖尿病患者糖尿病感觉运动多神经病变发展中的预后价值:一项前瞻性队列观察研究”的评论。","authors":"Fatemeh Rasulpur,&nbsp;Mohammad Barary,&nbsp;Mostafa Javanian,&nbsp;Soheil Ebrahimpour","doi":"10.1111/jdi.14408","DOIUrl":null,"url":null,"abstract":"<p>Dear Editor,</p><p>We read with great interest the article titled “Prognostic Value of Longitudinal HbA1c Variability in Predicting the Development of Diabetic Sensorimotor Polyneuropathy Among Patients with Type 2 Diabetes Mellitus: A Prospective Cohort Observational Study” by Lai <i>et al</i>.<span><sup>1</sup></span> The study identifies average real variability (HbA1c ARV) as the most predictive measure of HbA1c variability for anticipating new cases of diabetic sensorimotor polyneuropathy (DSPN) in patients with type 2 diabetes mellitus. The authors' meticulous investigation of HbA1c variability in the context of DSPN risk adds substantial value to the growing body of literature on glycemic control. However, we believe that addressing the following methodological aspects would enhance the robustness of the findings and provide broader clinical insights.</p><p>While the study convincingly establishes the predictive value of HbA1c ARV, the lack of additional laboratory parameters limits its scope. Biomarkers such as thyroid and liver function tests, vitamin B12, zinc, copper, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and the systemic immune-inflammation index (SII) have been implicated in diabetic complications and could potentially provide further insights into DSPN risk<span><sup>2</sup></span>. The absence of these markers leaves room for residual confounding, especially in a multifactorial condition like DSPN, where inflammation and micronutrient deficiencies play critical roles.</p><p>The article does not detail the concurrent use of other medications, such as lipid-lowering therapies, antihypertensives, and antibiotics, which could significantly influence the development or progression of neuropathy<span><sup>3</sup></span>. For example, statins have been linked to myopathy and neuropathy in specific populations, while the anti-inflammatory properties of some drugs might modulate DSPN risk. A more comprehensive medication profile would strengthen the causal attributions made in this study.</p><p>Comorbidities such as psychological disorders, autoimmune diseases, and thyroid dysfunctions were not adequately accounted for. Each of these conditions has been independently associated with neuropathy<span><sup>4</sup></span>. Their exclusion not only limits the generalizability of the findings but may also lead to overestimation of the role of HbA1c variability.</p><p>Socioeconomic determinants, including urban vs rural residency, educational attainment, and income, were overlooked. Additionally, lifestyle factors such as physical activity levels, alcohol consumption, and dietary habits could significantly modify the risk of DSPN. These factors are particularly relevant in assessing glycemic variability, as they influence both HbA1c levels and overall diabetes management.</p><p>The study does not report on insulin resistance or vitamin D status—both key players in the pathogenesis of neuropathy. Insulin resistance is a central mechanism in type 2 diabetes mellitus and has been closely linked with microvascular complications. Similarly, vitamin D deficiency is increasingly recognized as a risk factor for neuropathy and could serve as a modifiable target for intervention.</p><p>The methodology lacks specific details regarding the nerve conduction studies (NCS) and other diagnostic tools used. Standardization of these measures is critical for reproducibility and comparison with other studies. Providing this information would bolster confidence in the validity of the findings.</p><p>The authors excluded patients with advanced diabetic kidney disease (DKD) but noted a higher prevalence of DSPN in those with moderate kidney dysfunction. Given the complex interplay between DKD and neuropathy, further exploration into the role of HbA1c variability in advanced DKD populations is warranted.</p><p>Despite its limitations, this study offers valuable evidence linking HbA1c variability to the risk of DSPN in type 2 diabetes mellitus patients. Addressing the highlighted areas in future research will enhance our understanding of this relationship and provide a more comprehensive framework for clinical application. We commend the authors for their contributions to this critical field and hope our suggestions will pave the way for even more impactful studies.</p><p>No funding was received for this manuscript.</p><p>The authors declare no conflict of interest.</p><p>The authors have nothing to report.</p>","PeriodicalId":51250,"journal":{"name":"Journal of Diabetes Investigation","volume":"16 3","pages":"561-562"},"PeriodicalIF":3.1000,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jdi.14408","citationCount":"0","resultStr":"{\"title\":\"Commentary on “Prognostic value of longitudinal HbA1c variability in predicting the development of diabetic sensorimotor polyneuropathy among patients with type 2 diabetes mellitus: A prospective cohort observational study”\",\"authors\":\"Fatemeh Rasulpur,&nbsp;Mohammad Barary,&nbsp;Mostafa Javanian,&nbsp;Soheil Ebrahimpour\",\"doi\":\"10.1111/jdi.14408\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Dear Editor,</p><p>We read with great interest the article titled “Prognostic Value of Longitudinal HbA1c Variability in Predicting the Development of Diabetic Sensorimotor Polyneuropathy Among Patients with Type 2 Diabetes Mellitus: A Prospective Cohort Observational Study” by Lai <i>et al</i>.<span><sup>1</sup></span> The study identifies average real variability (HbA1c ARV) as the most predictive measure of HbA1c variability for anticipating new cases of diabetic sensorimotor polyneuropathy (DSPN) in patients with type 2 diabetes mellitus. The authors' meticulous investigation of HbA1c variability in the context of DSPN risk adds substantial value to the growing body of literature on glycemic control. However, we believe that addressing the following methodological aspects would enhance the robustness of the findings and provide broader clinical insights.</p><p>While the study convincingly establishes the predictive value of HbA1c ARV, the lack of additional laboratory parameters limits its scope. Biomarkers such as thyroid and liver function tests, vitamin B12, zinc, copper, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and the systemic immune-inflammation index (SII) have been implicated in diabetic complications and could potentially provide further insights into DSPN risk<span><sup>2</sup></span>. The absence of these markers leaves room for residual confounding, especially in a multifactorial condition like DSPN, where inflammation and micronutrient deficiencies play critical roles.</p><p>The article does not detail the concurrent use of other medications, such as lipid-lowering therapies, antihypertensives, and antibiotics, which could significantly influence the development or progression of neuropathy<span><sup>3</sup></span>. For example, statins have been linked to myopathy and neuropathy in specific populations, while the anti-inflammatory properties of some drugs might modulate DSPN risk. A more comprehensive medication profile would strengthen the causal attributions made in this study.</p><p>Comorbidities such as psychological disorders, autoimmune diseases, and thyroid dysfunctions were not adequately accounted for. Each of these conditions has been independently associated with neuropathy<span><sup>4</sup></span>. Their exclusion not only limits the generalizability of the findings but may also lead to overestimation of the role of HbA1c variability.</p><p>Socioeconomic determinants, including urban vs rural residency, educational attainment, and income, were overlooked. Additionally, lifestyle factors such as physical activity levels, alcohol consumption, and dietary habits could significantly modify the risk of DSPN. These factors are particularly relevant in assessing glycemic variability, as they influence both HbA1c levels and overall diabetes management.</p><p>The study does not report on insulin resistance or vitamin D status—both key players in the pathogenesis of neuropathy. Insulin resistance is a central mechanism in type 2 diabetes mellitus and has been closely linked with microvascular complications. Similarly, vitamin D deficiency is increasingly recognized as a risk factor for neuropathy and could serve as a modifiable target for intervention.</p><p>The methodology lacks specific details regarding the nerve conduction studies (NCS) and other diagnostic tools used. Standardization of these measures is critical for reproducibility and comparison with other studies. Providing this information would bolster confidence in the validity of the findings.</p><p>The authors excluded patients with advanced diabetic kidney disease (DKD) but noted a higher prevalence of DSPN in those with moderate kidney dysfunction. Given the complex interplay between DKD and neuropathy, further exploration into the role of HbA1c variability in advanced DKD populations is warranted.</p><p>Despite its limitations, this study offers valuable evidence linking HbA1c variability to the risk of DSPN in type 2 diabetes mellitus patients. Addressing the highlighted areas in future research will enhance our understanding of this relationship and provide a more comprehensive framework for clinical application. We commend the authors for their contributions to this critical field and hope our suggestions will pave the way for even more impactful studies.</p><p>No funding was received for this manuscript.</p><p>The authors declare no conflict of interest.</p><p>The authors have nothing to report.</p>\",\"PeriodicalId\":51250,\"journal\":{\"name\":\"Journal of Diabetes Investigation\",\"volume\":\"16 3\",\"pages\":\"561-562\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jdi.14408\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Diabetes Investigation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jdi.14408\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Investigation","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jdi.14408","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

摘要

尊敬的编辑,我们怀着极大的兴趣阅读了一篇题为《HbA1c纵向变异性在预测2型糖尿病患者糖尿病感觉运动多发性神经病变发展中的预后价值》的文章:该研究确定平均真实变异性(HbA1c ARV)是预测2型糖尿病患者糖尿病感觉运动多神经病变(DSPN)新病例的最具预测性的HbA1c变异性指标。作者对DSPN风险背景下HbA1c变异性的细致研究为越来越多的血糖控制文献增加了实质性的价值。然而,我们相信解决以下方法学方面的问题将增强研究结果的稳健性,并提供更广泛的临床见解。虽然该研究令人信服地确立了HbA1c ARV的预测价值,但缺乏额外的实验室参数限制了其范围。甲状腺和肝功能测试、维生素B12、锌、铜、中性粒细胞与淋巴细胞比率(NLR)、血小板与淋巴细胞比率(PLR)和全身免疫炎症指数(SII)等生物标志物与糖尿病并发症有关,并可能为进一步了解DSPN风险提供可能。这些标记物的缺失为残留的混淆留下了空间,特别是在像DSPN这样的多因素疾病中,炎症和微量营养素缺乏起着关键作用。文章没有详细说明其他药物的同时使用,如降脂疗法、抗高血压药物和抗生素,这些药物可能会显著影响神经病变的发生或进展3。例如,他汀类药物与特定人群的肌病和神经病变有关,而一些药物的抗炎特性可能会调节DSPN的风险。更全面的药物档案将加强本研究中所做的因果归因。合并症如心理障碍、自身免疫性疾病和甲状腺功能障碍没有得到充分的解释。每一种情况都与神经病变独立相关。它们的排除不仅限制了研究结果的普遍性,而且可能导致对HbA1c变异性作用的高估。社会经济决定因素,包括城市与农村居住、受教育程度和收入,都被忽视了。此外,生活方式因素,如体力活动水平,饮酒和饮食习惯可以显著改变DSPN的风险。这些因素在评估血糖变异性时尤为重要,因为它们既影响糖化血红蛋白水平,也影响糖尿病的整体管理。该研究没有报道胰岛素抵抗或维生素D状态,这两者都是神经病变发病机制的关键因素。胰岛素抵抗是2型糖尿病的中心机制,与微血管并发症密切相关。同样,维生素D缺乏被越来越多地认为是神经病变的一个危险因素,可以作为一个可修改的干预目标。该方法缺乏关于神经传导研究(NCS)和其他诊断工具的具体细节。这些措施的标准化对于可重复性和与其他研究的比较至关重要。提供这些信息将增强对调查结果有效性的信心。作者排除了晚期糖尿病肾病(DKD)患者,但注意到中度肾功能障碍患者中DSPN的患病率较高。鉴于DKD与神经病变之间复杂的相互作用,进一步探索HbA1c变异性在晚期DKD人群中的作用是有必要的。尽管有其局限性,但本研究提供了将HbA1c变异性与2型糖尿病患者DSPN风险联系起来的有价值的证据。解决未来研究中突出的领域将增强我们对这种关系的理解,并为临床应用提供更全面的框架。我们赞扬作者对这一关键领域的贡献,并希望我们的建议将为更有影响力的研究铺平道路。本文未收到任何资助。作者声明无利益冲突。作者没有什么可报告的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Commentary on “Prognostic value of longitudinal HbA1c variability in predicting the development of diabetic sensorimotor polyneuropathy among patients with type 2 diabetes mellitus: A prospective cohort observational study”

Dear Editor,

We read with great interest the article titled “Prognostic Value of Longitudinal HbA1c Variability in Predicting the Development of Diabetic Sensorimotor Polyneuropathy Among Patients with Type 2 Diabetes Mellitus: A Prospective Cohort Observational Study” by Lai et al.1 The study identifies average real variability (HbA1c ARV) as the most predictive measure of HbA1c variability for anticipating new cases of diabetic sensorimotor polyneuropathy (DSPN) in patients with type 2 diabetes mellitus. The authors' meticulous investigation of HbA1c variability in the context of DSPN risk adds substantial value to the growing body of literature on glycemic control. However, we believe that addressing the following methodological aspects would enhance the robustness of the findings and provide broader clinical insights.

While the study convincingly establishes the predictive value of HbA1c ARV, the lack of additional laboratory parameters limits its scope. Biomarkers such as thyroid and liver function tests, vitamin B12, zinc, copper, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and the systemic immune-inflammation index (SII) have been implicated in diabetic complications and could potentially provide further insights into DSPN risk2. The absence of these markers leaves room for residual confounding, especially in a multifactorial condition like DSPN, where inflammation and micronutrient deficiencies play critical roles.

The article does not detail the concurrent use of other medications, such as lipid-lowering therapies, antihypertensives, and antibiotics, which could significantly influence the development or progression of neuropathy3. For example, statins have been linked to myopathy and neuropathy in specific populations, while the anti-inflammatory properties of some drugs might modulate DSPN risk. A more comprehensive medication profile would strengthen the causal attributions made in this study.

Comorbidities such as psychological disorders, autoimmune diseases, and thyroid dysfunctions were not adequately accounted for. Each of these conditions has been independently associated with neuropathy4. Their exclusion not only limits the generalizability of the findings but may also lead to overestimation of the role of HbA1c variability.

Socioeconomic determinants, including urban vs rural residency, educational attainment, and income, were overlooked. Additionally, lifestyle factors such as physical activity levels, alcohol consumption, and dietary habits could significantly modify the risk of DSPN. These factors are particularly relevant in assessing glycemic variability, as they influence both HbA1c levels and overall diabetes management.

The study does not report on insulin resistance or vitamin D status—both key players in the pathogenesis of neuropathy. Insulin resistance is a central mechanism in type 2 diabetes mellitus and has been closely linked with microvascular complications. Similarly, vitamin D deficiency is increasingly recognized as a risk factor for neuropathy and could serve as a modifiable target for intervention.

The methodology lacks specific details regarding the nerve conduction studies (NCS) and other diagnostic tools used. Standardization of these measures is critical for reproducibility and comparison with other studies. Providing this information would bolster confidence in the validity of the findings.

The authors excluded patients with advanced diabetic kidney disease (DKD) but noted a higher prevalence of DSPN in those with moderate kidney dysfunction. Given the complex interplay between DKD and neuropathy, further exploration into the role of HbA1c variability in advanced DKD populations is warranted.

Despite its limitations, this study offers valuable evidence linking HbA1c variability to the risk of DSPN in type 2 diabetes mellitus patients. Addressing the highlighted areas in future research will enhance our understanding of this relationship and provide a more comprehensive framework for clinical application. We commend the authors for their contributions to this critical field and hope our suggestions will pave the way for even more impactful studies.

No funding was received for this manuscript.

The authors declare no conflict of interest.

The authors have nothing to report.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Diabetes Investigation
Journal of Diabetes Investigation ENDOCRINOLOGY & METABOLISM-
CiteScore
6.50
自引率
9.40%
发文量
218
审稿时长
6-12 weeks
期刊介绍: Journal of Diabetes Investigation is your core diabetes journal from Asia; the official journal of the Asian Association for the Study of Diabetes (AASD). The journal publishes original research, country reports, commentaries, reviews, mini-reviews, case reports, letters, as well as editorials and news. Embracing clinical and experimental research in diabetes and related areas, the Journal of Diabetes Investigation includes aspects of prevention, treatment, as well as molecular aspects and pathophysiology. Translational research focused on the exchange of ideas between clinicians and researchers is also welcome. Journal of Diabetes Investigation is indexed by Science Citation Index Expanded (SCIE).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信