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Maximum insulin dose in patients admitted to the intensive care units with severe COVID-19 in the “Cross ICU Searchable Information System” study: A multicenter retrospective cohort study “跨ICU可检索信息系统”研究重症监护病房重症COVID-19患者的最大胰岛素剂量:一项多中心回顾性队列研究
IF 3.1 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Pub Date : 2024-12-10 DOI: 10.1111/jdi.14380
Emi Ushigome, Dan Imai, Masahide Hamaguchi, Satoru Hashimoto, Michiaki Fukui

Aims

This study aimed to determine the maximum daily insulin dose (MDI) and associated factors in critically ill patients with coronavirus disease 2019 (COVID-19) receiving insulin therapy, under ventilator and/or extracorporeal membrane oxygenation (ECMO) management.

Materials and Methods

This cross-sectional analysis used the Cross ICU Searchable Information System data from a Japanese multicenter retrospective observational cohort study of critically ill patients with COVID-19 receiving ventilation and/or ECMO, from February 2020 to March 2022. Maximum daily insulin dose was determined, and factors associated with it and maximum daily insulin dose per body weight were assessed using linear regression analysis.

Results

The analysis included 788 patients. Their mean age, glycated hemoglobin level, maximum daily insulin dose, and time from admission to the maximum daily insulin dose were 65.2 ± 13.0 years, 7.0 ± 1.5% (53.0 ± 7.1 mmol/mol), 46.0 ± 43.6 U/day, and 7.3 ± 7.0 days, respectively. Male sex (β = 6.902, P = 0.034), body mass index (β = 1.020, P = 0.001), glycated hemoglobin (β = 12.272, P < 0.001), and having renal failure (β = 20.637, P = 0.003) were independent determinants of maximum daily insulin dose. Age (β = 0.004, P = 0.035), glycated hemoglobin (β = 0.154, P < 0.001), and having renal failure (β = 0.282, P = 0.004) were independent determinants of maximum daily insulin dose per body weight.

Conclusions

In patients with COVID-19 on ventilator and/or ECMO management, the maximum daily insulin dose reached after about 1 week of hospitalization was approximately 46.0 U/day. Glycated hemoglobin and renal failure were both associated with the maximum daily insulin dose and maximum daily insulin dose per body weight.

目的:本研究旨在确定在呼吸机和/或体外膜氧合(ECMO)管理下接受胰岛素治疗的2019冠状病毒病(COVID-19)危重患者的最大每日胰岛素剂量(MDI)及相关因素。材料和方法:本横断面分析使用来自日本多中心回顾性观察队列研究的跨ICU可搜索信息系统数据,该研究包括2020年2月至2022年3月接受通气和/或ECMO的COVID-19危重患者。确定每日最大胰岛素剂量,并使用线性回归分析评估与其相关的因素和每体重每日最大胰岛素剂量。结果:共纳入788例患者。患者平均年龄为65.2±13.0岁,糖化血红蛋白水平为7.0±1.5%(53.0±7.1 mmol/mol),每日最大胰岛素剂量为46.0±43.6 U/天,入院至每日最大胰岛素剂量的时间为7.3±7.0天。结论:在使用呼吸机和/或ECMO治疗的COVID-19患者中,住院约1周后达到的最大每日胰岛素剂量约为46.0 U/d。糖化血红蛋白和肾衰竭都与每日最大胰岛素剂量和每体重的最大胰岛素剂量有关。
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引用次数: 0
Placental expression of GLUT-1, GLUT-3, and GLUT-4 mRNA and transcriptome profiling in pregnant women with diabetes 妊娠糖尿病患者胎盘中GLUT-1、GLUT-3和GLUT-4 mRNA的表达及转录组分析
IF 3.1 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Pub Date : 2024-12-09 DOI: 10.1111/jdi.14369
Rafal Sibiak, Pawel Gutaj, Urszula Mantaj, Lukasz Adamczak, Malgorzata Blatkiewicz, Marcin Rucinski, Ewa Wender-Ozegowska

Aims/Introduction

Placental glucose transport is regulated by glucose transporter proteins (GLUTs). The study aimed to examine placental expression of GLUT-1, GLUT-3, and GLUT-4 mRNA in patients with type 1 diabetes, early gestational diabetes (eGDM), and healthy controls, and to investigate correlations between GLUTs expression and clinical parameters. Additionally, we compared placental transcriptome profiles in recruited subgroups.

Materials and Methods

We recruited 59 pregnant women: 23 with type 1 diabetes, 17 with eGDM, and 19 controls. Patients with diabetes attended follow-up visits at each trimester. Transcriptome studies were performed in 4 patients per subgroup.

Results

The mean age was similar across all subgroups. eGDM patients had significantly higher BMI and were predominantly obese. We observed a significant 2-fold (P = 0.009) decrease in placental GLUT-3 mRNA expression in the type 1 diabetes and eGDM groups. GLUT-4 mRNA expression was significantly lower in the eGDM group compared to type 1 diabetes (3-fold) and controls (6-fold) (P = 0.007). There was a significant negative correlation between GLUT-3 (R = −0.29) and GLUT-4 (R = −0.27) mRNA expression and neonatal birth weight. GLUT-4 expression was negatively correlated with 1st trimester HbA1c (R = −0.72) and OGTT 120′ (R = −0.82) results in eGDM patients, and 3rd trimester glycemic variability (R = −0.49) in type 1 diabetes. Microarray analysis revealed significant transcriptomic changes, with 45 down-regulated and 365 up-regulated genes in type 1 diabetes, and 21 significant changes in eGDM.

Conclusions

Placental samples from patients with diabetes exhibit changes in GLUTs expression, which correlates with neonatal growth and several glycemic parameters. Additionally, multiple changes in transcriptomic profiles are observed in hyperglycemic patients.

目的/简介:胎盘葡萄糖转运受葡萄糖转运蛋白(GLUTs)调控。本研究旨在检测 1 型糖尿病患者、早期妊娠糖尿病(eGDM)患者和健康对照组的胎盘 GLUT-1、GLUT-3 和 GLUT-4 mRNA 的表达,并研究 GLUTs 表达与临床参数之间的相关性。此外,我们还比较了所招募亚组的胎盘转录组概况:我们招募了 59 名孕妇:23 名 1 型糖尿病患者、17 名 eGDM 患者和 19 名对照组。糖尿病患者参加了每个孕期的随访。对每个亚组的 4 名患者进行了转录组研究:所有亚组的平均年龄相似。eGDM 患者的体重指数(BMI)明显较高,且以肥胖为主。我们观察到 1 型糖尿病组和 eGDM 组的胎盘 GLUT-3 mRNA 表达量明显下降了 2 倍(P = 0.009)。eGDM 组的 GLUT-4 mRNA 表达明显低于 1 型糖尿病组(3 倍)和对照组(6 倍)(P = 0.007)。GLUT-3 (R = -0.29) 和 GLUT-4 (R = -0.27)mRNA表达与新生儿出生体重呈明显负相关。在 eGDM 患者中,GLUT-4 的表达与怀孕头三个月的 HbA1c(R = -0.72)和 OGTT 120'(R = -0.82)结果呈负相关;在 1 型糖尿病患者中,GLUT-4 的表达与怀孕第三个月的血糖变异性(R = -0.49)呈负相关。微阵列分析表明转录组发生了重大变化,1 型糖尿病患者有 45 个基因下调,365 个基因上调,而 eGDM 患者有 21 个基因发生了重大变化:结论:糖尿病患者的胎盘样本显示出 GLUTs 表达的变化,这与新生儿的生长和多个血糖参数相关。结论:糖尿病患者的胎盘样本显示出 GLUTs 表达的变化,这种变化与新生儿的生长和几种血糖参数相关。此外,在高血糖患者中还观察到转录组特征的多种变化。
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引用次数: 0
Volume 15 卷15
IF 3.1 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Pub Date : 2024-12-04 DOI: 10.1111/jdi.14374
<p>50-g Oral glucose challenge test</p><p>Problems in screening for gestational diabetes mellitus by measurement of casual blood glucose levels at 24–28 gestational weeks, Tomimoto 1797–1802.</p><p>β-Cell dysfunction</p><p>Glucose metabolism partially regulates β-cell function through epigenomic changes, Kim 649–655.</p><p>β-Cells</p><p>Role of β-cell autophagy in β-cell physiology and the development of diabetes, Yasasilka 656–668.</p><p>β-Cell mass</p><p>Effects of glucokinase haploinsufficiency on the pancreatic β-cell mass and function of long-term high-fat, high-sucrose diet-fed mice, Shigesawa 1732–1742.</p><p>Accuracy</p><p>Impact of hematocrit levels on the accuracy of specific blood glucose meters: A hospital-based study, Pham 1472–1482.</p><p>Acyl-coenzyme A synthetase long-chain family member 4</p><p>Tanshinone IIA suppresses ferroptosis to attenuate renal podocyte injury in diabetic nephropathy through the embryonic lethal abnormal visual-like protein 1 and acyl-coenzyme A synthetase long-chain family member 4 signaling pathway, Zhu 1003–1016.</p><p>Adherence</p><p>Modification effect of receipt of diabetes care on the association between COVID-19 infection and HbA1c level during the first year of the coronavirus pandemic using a nationwide population-based database, Okada 953–963.</p><p>Prevalence of adherence to oral antidiabetic drugs in patients with type 2 diabetes: A systematic review and meta-analysis, Boonpattharatthiti 1614–1625.</p><p>Aging</p><p>Association of biomarkers and Barthel Index with occurrence of age-related adverse health outcomes in individuals with diabetes, Umamoto 1675–1683.</p><p>Alcohol drinking</p><p>The association between alcohol drinking and glycemic management among people with type 2 diabetes in China, Ye 237–244.</p><p>Aldehyde dehydrogenase 2</p><p>Mitochondrial ALDH2 improves β-cell survival and function against doxorubicin-induced apoptosis by targeting CK2 signaling, Karunakaran 684–692.</p><p>Algorithm</p><p>A consensus statement from the Japan Diabetes Society: A proposed algorithm for pharmacotherapy in people with type 2 diabetes—2nd edition (English version), Bouchi 1326–1342.</p><p>Alzheimer's disease-like complications of DM</p><p>Calpeptin improves the cognitive function in Alzheimer's disease-like complications of diabetes mellitus rats by regulating TXNIP/NLRP3 inflammasome, Qiao 1365–1376.</p><p>Angiopoietin-like 4</p><p>Angiopoietin-like 4 is a potential biomarker for diabetic kidney disease in type 2 diabetes patients, Wang 1763–1772.</p><p>Antidiabetic drugs</p><p>Cancer biology in diabetes update: Focusing on antidiabetic drugs, Kawakita 525–540.</p><p>Pancreatic beta-cell mass and function and therapeutic implications of using antidiabetic medications in type 2 diabetes, Moon 669–683.</p><p>Anti-inflammatory activity</p><p>High-density lipoprotein in diabetes: Structural and functional relevance, Lui 805–816.</p><p>Anti-oxidative activity</p><p>High-density lipoprotein in diabete
妊娠24-28周随机血糖水平筛查妊娠糖尿病的问题,Tomimoto 1797-1802。β-细胞功能障碍葡萄糖代谢通过表观基因组改变部分调节β-细胞功能,Kim 649-655。β细胞自噬在β细胞生理和糖尿病发生中的作用,Yasasilka 656-668。β-细胞质量葡萄糖激酶单倍体不足对长期高脂高糖饮食小鼠胰腺β-细胞质量和功能的影响,Shigesawa 1732-1742。准确性红细胞压积水平对特定血糖仪准确性的影响:一项基于医院的研究,Pham 1472-1482。丹参酮IIA通过胚胎致死性异常视样蛋白1和酰基辅酶A合成酶长链家族成员4信号通路抑制铁下垂减轻糖尿病肾病肾足细胞损伤,Zhu 1003-1016。在冠状病毒大流行的第一年,接受糖尿病护理对COVID-19感染和HbA1c水平之间关系的影响,使用基于全国人口的数据库Okada 953-963。2型糖尿病患者口服降糖药依从性的患病率:一项系统回顾和荟萃分析,boonpathatharatthiti 1614-1625。生物标志物和Barthel指数与糖尿病患者年龄相关不良健康结局发生的关系,Umamoto 1675-1683。中国2型糖尿病患者饮酒与血糖控制之间的关系,叶237-244。醛脱氢酶2线粒体ALDH2通过靶向CK2信号通路改善β细胞存活和抗阿霉素诱导的凋亡功能,Karunakaran 684-692日本糖尿病学会的共识声明:2型糖尿病患者药物治疗的建议算法-第2版(英文版),Bouchi 1326-1342。DMCalpeptin通过调节TXNIP/NLRP3炎性体改善糖尿病大鼠阿尔茨海默病样并发症的认知功能,乔1365-1376。血管生成素样4是2型糖尿病患者糖尿病肾病的潜在生物标志物,Wang 1763-1772。糖尿病中的肿瘤生物学更新:聚焦于降糖药,Kawakita 525-540。2型糖尿病患者胰岛β细胞质量、功能及抗糖尿病药物的治疗意义。高密度脂蛋白在糖尿病中的抗炎活性:结构和功能的相关性,吕氏,805-816。高密度脂蛋白在糖尿病中的抗氧化活性:结构和功能的相关性。c肽曲线下面积:口服糖耐量试验中c肽曲线下面积与2型糖尿病视网膜病变的关系,Zhang 315-325。精氨酸加压素缺乏症2型糖尿病、精氨酸加压素缺乏症和马凡氏综合征共存:1例报告,Le 964-967。2型糖尿病患者血糖危险指数与动脉僵硬度的关系,蔡614-622。亚洲不断变化的糖尿病状况——有哪些未满足的需求?路加福音402-409。阿司匹林:低剂量阿司匹林预防2型糖尿病和慢性肾脏疾病患者心血管死亡:一项真实世界的全国队列研究,Lin 459-467。社区老年2型糖尿病患者血清asprosin与左室舒张功能障碍的相关性[j], Liang 608-613。2型糖尿病不同病程患者血清asprosin与代谢特征及并发症的相关性分析,Ma 1781-1787。哮喘1例2型糖尿病患者在使用tezepelumab治疗严重支气管哮喘后体重增加和血糖管理恶化,Umamoto 388-390。高葡萄糖通过调节miRNA let7d-5p水平促进动脉粥样硬化,Wang 711-724。高内脏脂肪区和肌肉减少的共存与老年糖尿病患者的动脉粥样硬化标志物相关:一项横断面研究,Sato 1510-1518。肠道上皮细胞转化为胰岛素生成细胞治疗糖尿病,Accili 797-804。β细胞自噬在β细胞生理和糖尿病发生中的作用,Yasasilka 656-668。基于2011-2020年期间68,555例调查结果的日本糖尿病患者死亡原因:糖尿病死亡原因委员会报告,日本糖尿病学会(英文版),Nakamura 1821-1837。 氯吡格雷致复发性低血糖1例,文献回顾,[j]。2型糖尿病患者自我报告低血糖风险预测模型的建立和验证:一项纵向队列研究,Xu 468-482。胰岛移植在韩国的应用,Lee 1165-1170。连续血糖监测对胃切除术后低血糖的诊断价值,Son 1696-1699。低镁血症肝细胞核因子1B缺失,而非基因内突变,可能更容易发生低镁血症,Wang 121-130。不同心血管健康状态下代谢综合征和胰岛素抵抗与心血管事件风险的关系,Hosseinpour-Niazi 208-218。2型糖尿病患者使用专业连续血糖监测甘精胰岛素U-100/利昔那肽的疗效和安全性比较,Kawaguchi 598-607。免疫球蛋白重定γ 1沉默降低强直反应增强结合蛋白的表达以减轻糖尿病肾病,Hu 572-583。iglarlix1 2型糖尿病患者使用专业连续血糖监测胰岛素葡糖苷/利拉鲁肽与甘精胰岛素U-100/利利塞那肽的疗效和安全性比较,Kawaguchi 598-607。imegliminmeglimin通过间接机制促进胰高血糖素分泌,改善高脂肪、高蔗糖饮食喂养小鼠的脂肪肝,Kikuchi 1177-1190。影响日本2型糖尿病患者伊米霉素单药治疗临床疗效的因素,Hagi 1239-1247。炎症调节性T细胞对db/db小鼠糖尿病性心肌病的保护作用,Zhang 1191-1201。中国东南部地区2型糖尿病的患病率、认知、治疗和控制:一项基于人群的研究,胡1034-1041。注射:在12个月的随访中,口服西马鲁肽和每周一次西马鲁肽注射的依从性和治疗停药:日本真实世界数据,Horii 1578-1584。胰岛素靶向PI3K/AKT和MEK/ERK通路改善周围性糖尿病神经病变特征的协同作用,Pham 1537-1544。Kasuga 1803-1808: 75 g口服糖耐量试验中多个阳性点是妊娠24周前诊断的妊娠期糖尿病早期胰岛素治疗的良好预测指标。胰岛素自身免疫性综合征氯吡格雷致低血糖1例报告及回顾性分析,文献275-281。胰岛素输注系统混合闭环系统对传感器增强泵治疗1型糖尿病患者血糖控制和心理方面的影响:一项前瞻性单中心观察研究,Akiyama 219-226。胰岛素样生长因子-1水平降低可能是2型糖尿病患者周围神经病变的危险因素。胰岛素抵抗:代谢综合征和胰岛素抵抗与不同心血管健康状态下心血管事件风险的关系,Hosseinpour-Niazi 208-218。美国人群中血清尿酸与高密度脂蛋白胆固醇比值与胰岛素抵抗的关系:一项基于人群的分析,Zhou 762-771。胰岛素分泌进食后胰岛素分泌的短期恢复与2型糖尿病患者未来的血糖控制有关,Enkaku, 437-448。2型糖尿病患者胰岛β细胞质量、功能及抗糖尿病药物的治疗意义。胰岛素分泌能力:使用黄嘌呤氧化还原酶抑制剂与2型糖尿病患者胰岛素分泌能力的关系,Kitamura 1500-1509。胰岛素敏感性评估1型糖尿病胰岛素敏感性的交互式计算器,Januszewski 594-597。与对照组相比,间歇禁食16:8和14:10对肥胖合并2型糖尿病患者体重减轻和代谢结局的影响:一项随机对照试验,Sukkriang 1297-1305。间歇性扫描连续血糖监测2型糖尿病患者报告的结果和使用自然语言处理的治疗依从性:观察性国际糖尿病管理实践研究的第8波,1306-1316。物联网2型糖尿病患者血糖控制的物联网方法:Bouchi
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引用次数: 0
IF 3.1 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Pub Date : 2024-12-04 DOI: 10.1111/jdi.14324
<p>The publication of invaluable papers in the Journal of Diabetes Investigation depends on the prompt, careful review of submitted manuscripts. We would like to thank the Editorial Board members, the International Editorial Board members, the Assistant Editorial Board members and the following experts for reviewing manuscripts from September 1, 2023 to August 31, 2024.</p><p>Mohammed S. Abusamaan</p><p>Adegbenga B. Ademolu</p><p>Houssein Ahmadi</p><p>Zubair Ahmed</p><p>Ken-Ichi Aihara</p><p>Yoichi Ajiro</p><p>Satoru Akazawa</p><p>Hamed Akbari</p><p>Gulali Aktas</p><p>Nurshad Ali</p><p>Shigeru Aoki</p><p>Tomohisa Aoyama</p><p>Keiko Arai</p><p>Atsushi Araki</p><p>Osamu Arisaka</p><p>Shunichiro Asahara</p><p>Kenji Ashida</p><p>Yoshimasa Aso</p><p>Hande Atalay</p><p>Ahmad Khusairi Azemi</p><p>Kengo Azushima</p><p>Masayuki Baba</p><p>Asaad Ma Babker</p><p>Mohamed F. Balaha</p><p>Ryotaro Bouchi</p><p>David S. Boyer</p><p>Ali Cetin</p><p>Chi-Ming Chan</p><p>Te-Fu Chan</p><p>Min-Cheol Chang</p><p>Deqing Chen</p><p>Deyan Chen</p><p>Harn-Shen Chen</p><p>Juncao Chen</p><p>Ming-Wei Chen</p><p>Yang Ching Chen</p><p>Yen-Lin Chen</p><p>Yi-Rong Chen</p><p>Kenneth Cheng</p><p>Kyu Yong Cho</p><p>Soo Choi</p><p>Chih-Hsun Chu</p><p>Daisuke Chujo</p><p>Seung Min Chung</p><p>Dana Mihaela Ciobanu</p><p>Flávia Campos Corgosinho</p><p>Andre Luiz Costa</p><p>Xiaona Cui</p><p>Makoto Daimon</p><p>Taura Daisuke</p><p>Undurti Das</p><p>Takahisa Deguchi</p><p>Masashi Demura</p><p>Wuquan Deng</p><p>Sunil Deshpande</p><p>Domenico Di Raimondo</p><p>Yu Ding</p><p>Kentaro Doi</p><p>Jocelyn J. Drinkwater</p><p>Joao M. N. Duarte</p><p>Tuba Duman</p><p>Jun Eguchi</p><p>Akira Endo</p><p>Kang-Chih Fan</p><p>Lei Feng</p><p>Gabor Ferneisz</p><p>Chia-Po Fu</p><p>Toshihito Fujii</p><p>Rumi Fujikawa</p><p>Junji Fujikura</p><p>Shimpei Fujimoto</p><p>Shiho Fujisaka</p><p>Yoshihito Fujita</p><p>Yukihiro Fujita</p><p>Yoshio Fujitani</p><p>Michiaki Fukui</p><p>Masato Furuhashi</p><p>Shinya Furukawa</p><p>Hiroto Furuta</p><p>Yechiel N. Gellman</p><p>Stacey Gorniak</p><p>Atsushi Goto</p><p>Weaam Gouda</p><p>Alpesh Goyal</p><p>Tanja Groten</p><p>Xuejiang Gu</p><p>Yunjuan Gu</p><p>Keyu Guo</p><p>Kyoung Hwa Ha</p><p>Masahide Hamaguchi</p><p>Akihiro Hamasaki</p><p>Toshiaki Hanafusa</p><p>Rikinari Hanayama</p><p>Shinichi Harashima</p><p>Goji Hasegawa</p><p>Koshi Hashimoto</p><p>Yoshitaka Hashimoto</p><p>Nabil A. Hasona</p><p>Yuji Hataya</p><p>Yoshitaka Hayashi</p><p>Yasuaki Hayashino</p><p>Sakoda Hideyuki</p><p>Shinji Higuchi</p><p>Tatsuhito Himeno</p><p>Tsutomu Hirano</p><p>Satoshi Hirayama</p><p>Takahisa Hirose</p><p>Inoue Hiroshi</p><p>Yushi Hirota</p><p>Takanori Honda</p><p>Minha Hong</p><p>Ruby Hoo</p><p>Ichiro Horie</p><p>Takeshi Horii</p><p>Yukio Horikawa</p><p>Masayuki Hosoi</p><p>Yi-Ting Hsieh</p><p>Paul Hsu</p><p>Cheng Hu</p><p>Haofei Hu</p><p>Chia-Luen Huang</p><p>Chuiguo Huang</p><p>Cn Huang</p><p>Yu-Tung Huang</p><p>Zhimin Huang</p><p>Mikael S Huhtala</p><p>Sartaj Hussain</p><p>You-Cheol H
在《糖尿病调查杂志》上发表有价值的论文取决于对提交的手稿的及时、仔细的审查。感谢编辑委员会成员、国际编辑委员会成员、助理编辑委员会成员和以下专家在2023年9月1日至2024年8月31日期间对稿件的审阅。穆罕默德S. abusamaadegenga B.阿德米德houssein AhmadiZubair ahmedkenichi aiharayichi ajirosatu akazaulali akazakulali akazaigeru青木知久青山明子aratakiakisamamu asakakisamichi青木明子青木明子青木明子青木明子青木明子青木明子,青木明子青木明子,青木明子,青木明,青木明,青木明,青木明,青木明,青木明,青木明,青木明,青木明,青木明,青木明,青木明,青木明,青木明,青木明,青木明,青木明陈义荣陈kenneth cheng - yu Yong ChoSoo choichi - hsun ChuDaisuke ChujoSeung Min chungana Mihaela CiobanuFlávia Campos corgosinhoandandluiz CostaXiaona CuiMakoto DaimonTaura daisukedastakahisa deguakahashi demurawahquan densunil DeshpandeDomenico Di RaimondoYu DingKentaro dojcelyn J. DrinkwaterJoao M. N. DuarteTuba DumanJun EguchiAkira EndoKang-Chih FanLei FengGabor ferneiszchio - po FuToshihito FujiiRumi FujikawaJunji FujikuraShimpei FujimotoShiho fujiisakakyohihito fujitaykihirofujityosho fujitanimicaki fukuimato furuhashishya FurukawaHiroto furuteshihihiya guuteshihiya grojmanstacey GorniakAtsushi GotoWeaam goudaesh gopesh GoyalTanja grojonya GuKeyu GuoKyoung和HaMasahide滨口昭昭滨口昭昭,滨口昭昭,滨口昭昭,滨口昭昭,滨口昭昭,滨口昭昭,桥下昭昭,桥下昭昭,桥下昭昭,桥下昭昭,桥下昭昭,桥下昭昭,桥下昭昭,桥下昭昭,桥下昭昭,桥下昭昭,桥下昭昭,桥下昭昭,桥下昭昭,桥下昭昭,桥下昭昭HiroshiYushi hirotakanori HondaMinha HongRuby HooIchiro堀田武堀田雄雄堀川昌之细社义亭谢宝成HsuCheng HuHaofei huchiluen黄翠国黄玉东黄志敏黄友哲黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明黄志明池池池池池池池池池池池池池池池池团今文明今村明石村石孝石川石川昌岩武川美岩村一宏岩本丰彦出云田靖姜尚万,金思,郑惠承,郑贞河。金本昭夫金泽昭夫金泽昭夫金泽昭夫,金泽昭夫,金泽昭夫,金泽昭夫,金泽昭夫,卡拉曼昭夫,kasayamasumi kasugasaka, kataginaoto, katakamichi, kawaguichi, kawaguichi, kawaguichi, kawaguichi, kawaguichi, kawagueiji, kawasaki, kawasaki, keammohammad, KhalajiTouch, KhunChong, Hwa, kimkyho, KimMi, KimSo, Hun, KimYong, KimTomohiko, kimurathihiro, kitamhihihiko, kitanochi, yuan, KoKazuo, kobayashitsuya, KondoGuilan, konshizakapawa, kishangry, kuanmitnobu, KubotaSodai, KubotaAkihiroKumaShinji KumeCc KuoChun-Heng KuoMakoto KuranoAkio KurodaYoshiki KusunokiC-H LaiNitchakarn LaichuthaiIvana LapicDavide LauroYunyi LeEun年轻LeeI-Te LeeJoonyub LeeTing-Wei LeeQifu LiYonghong LiYuanying理塘寺易LiaoChia-Hung LinKuan-Hung LinShin-Yu LinXiahong LinFeng LiuJing LiuYe LiuJingyi LuDavid LuiSihui LuoXiaoping LuoShuquan LvYasutaka MaedaHiroshi MaegawaZhila MaghbooliRayaz MalikMaria亚松森Martinez-BroccaMasafumi MatsudaMunehide MatsuhisaMichihiro MatsumotoTakeshi MatsumuraTakashi松冈雅芳松冈雅芳茂茂茂茂茂茂茂润堂孟高树三木明明南广南庆一郎三木全辅三浦三浦三浦三浦由敏宫本武宫本广水俣一菲MoMasoud mohammadnezhahhimel monasoud何文俊成文敏京文博雅森俊森胜太郎森野友明森野孝孝村山孝一村上孝一村上孝一村上孝一村上孝一村上孝一村上孝一村上孝一村上孝一村上孝一永永义夫永永孝永永都NagayamaGojiro NakagamiHiroki NakajimaMiki NakajimaAkinobu NakamuraNobuhisa NakamuraShuhei NakanishiEitaro NakashimaAtsuko NakatsukaJakub NalepaTakao NammoAkihiko NarisadaYuya NishidaAkihiko NishikimiRimei NishimuraWataru NishimuraDaisuke NishiokaMitsuhiko NodaHiroyuki NoderaTakashi NomiyamaHiroshi NomotoSeitaro NomuraShinsuke NosoAdetunji ObadejiMakiko OgataSumito OgawaMasahito OguraKen OhashiToshiaki OhkumaYasuharu OhtaYoichi OikawaKenta OkadaYosuke OkadaYukiko OkazakiTsuyoshi OkuraTakeshionouman
{"title":"","authors":"","doi":"10.1111/jdi.14324","DOIUrl":"https://doi.org/10.1111/jdi.14324","url":null,"abstract":"&lt;p&gt;The publication of invaluable papers in the Journal of Diabetes Investigation depends on the prompt, careful review of submitted manuscripts. We would like to thank the Editorial Board members, the International Editorial Board members, the Assistant Editorial Board members and the following experts for reviewing manuscripts from September 1, 2023 to August 31, 2024.&lt;/p&gt;&lt;p&gt;Mohammed S. Abusamaan&lt;/p&gt;&lt;p&gt;Adegbenga B. Ademolu&lt;/p&gt;&lt;p&gt;Houssein Ahmadi&lt;/p&gt;&lt;p&gt;Zubair Ahmed&lt;/p&gt;&lt;p&gt;Ken-Ichi Aihara&lt;/p&gt;&lt;p&gt;Yoichi Ajiro&lt;/p&gt;&lt;p&gt;Satoru Akazawa&lt;/p&gt;&lt;p&gt;Hamed Akbari&lt;/p&gt;&lt;p&gt;Gulali Aktas&lt;/p&gt;&lt;p&gt;Nurshad Ali&lt;/p&gt;&lt;p&gt;Shigeru Aoki&lt;/p&gt;&lt;p&gt;Tomohisa Aoyama&lt;/p&gt;&lt;p&gt;Keiko Arai&lt;/p&gt;&lt;p&gt;Atsushi Araki&lt;/p&gt;&lt;p&gt;Osamu Arisaka&lt;/p&gt;&lt;p&gt;Shunichiro Asahara&lt;/p&gt;&lt;p&gt;Kenji Ashida&lt;/p&gt;&lt;p&gt;Yoshimasa Aso&lt;/p&gt;&lt;p&gt;Hande Atalay&lt;/p&gt;&lt;p&gt;Ahmad Khusairi Azemi&lt;/p&gt;&lt;p&gt;Kengo Azushima&lt;/p&gt;&lt;p&gt;Masayuki Baba&lt;/p&gt;&lt;p&gt;Asaad Ma Babker&lt;/p&gt;&lt;p&gt;Mohamed F. Balaha&lt;/p&gt;&lt;p&gt;Ryotaro Bouchi&lt;/p&gt;&lt;p&gt;David S. Boyer&lt;/p&gt;&lt;p&gt;Ali Cetin&lt;/p&gt;&lt;p&gt;Chi-Ming Chan&lt;/p&gt;&lt;p&gt;Te-Fu Chan&lt;/p&gt;&lt;p&gt;Min-Cheol Chang&lt;/p&gt;&lt;p&gt;Deqing Chen&lt;/p&gt;&lt;p&gt;Deyan Chen&lt;/p&gt;&lt;p&gt;Harn-Shen Chen&lt;/p&gt;&lt;p&gt;Juncao Chen&lt;/p&gt;&lt;p&gt;Ming-Wei Chen&lt;/p&gt;&lt;p&gt;Yang Ching Chen&lt;/p&gt;&lt;p&gt;Yen-Lin Chen&lt;/p&gt;&lt;p&gt;Yi-Rong Chen&lt;/p&gt;&lt;p&gt;Kenneth Cheng&lt;/p&gt;&lt;p&gt;Kyu Yong Cho&lt;/p&gt;&lt;p&gt;Soo Choi&lt;/p&gt;&lt;p&gt;Chih-Hsun Chu&lt;/p&gt;&lt;p&gt;Daisuke Chujo&lt;/p&gt;&lt;p&gt;Seung Min Chung&lt;/p&gt;&lt;p&gt;Dana Mihaela Ciobanu&lt;/p&gt;&lt;p&gt;Flávia Campos Corgosinho&lt;/p&gt;&lt;p&gt;Andre Luiz Costa&lt;/p&gt;&lt;p&gt;Xiaona Cui&lt;/p&gt;&lt;p&gt;Makoto Daimon&lt;/p&gt;&lt;p&gt;Taura Daisuke&lt;/p&gt;&lt;p&gt;Undurti Das&lt;/p&gt;&lt;p&gt;Takahisa Deguchi&lt;/p&gt;&lt;p&gt;Masashi Demura&lt;/p&gt;&lt;p&gt;Wuquan Deng&lt;/p&gt;&lt;p&gt;Sunil Deshpande&lt;/p&gt;&lt;p&gt;Domenico Di Raimondo&lt;/p&gt;&lt;p&gt;Yu Ding&lt;/p&gt;&lt;p&gt;Kentaro Doi&lt;/p&gt;&lt;p&gt;Jocelyn J. Drinkwater&lt;/p&gt;&lt;p&gt;Joao M. N. Duarte&lt;/p&gt;&lt;p&gt;Tuba Duman&lt;/p&gt;&lt;p&gt;Jun Eguchi&lt;/p&gt;&lt;p&gt;Akira Endo&lt;/p&gt;&lt;p&gt;Kang-Chih Fan&lt;/p&gt;&lt;p&gt;Lei Feng&lt;/p&gt;&lt;p&gt;Gabor Ferneisz&lt;/p&gt;&lt;p&gt;Chia-Po Fu&lt;/p&gt;&lt;p&gt;Toshihito Fujii&lt;/p&gt;&lt;p&gt;Rumi Fujikawa&lt;/p&gt;&lt;p&gt;Junji Fujikura&lt;/p&gt;&lt;p&gt;Shimpei Fujimoto&lt;/p&gt;&lt;p&gt;Shiho Fujisaka&lt;/p&gt;&lt;p&gt;Yoshihito Fujita&lt;/p&gt;&lt;p&gt;Yukihiro Fujita&lt;/p&gt;&lt;p&gt;Yoshio Fujitani&lt;/p&gt;&lt;p&gt;Michiaki Fukui&lt;/p&gt;&lt;p&gt;Masato Furuhashi&lt;/p&gt;&lt;p&gt;Shinya Furukawa&lt;/p&gt;&lt;p&gt;Hiroto Furuta&lt;/p&gt;&lt;p&gt;Yechiel N. Gellman&lt;/p&gt;&lt;p&gt;Stacey Gorniak&lt;/p&gt;&lt;p&gt;Atsushi Goto&lt;/p&gt;&lt;p&gt;Weaam Gouda&lt;/p&gt;&lt;p&gt;Alpesh Goyal&lt;/p&gt;&lt;p&gt;Tanja Groten&lt;/p&gt;&lt;p&gt;Xuejiang Gu&lt;/p&gt;&lt;p&gt;Yunjuan Gu&lt;/p&gt;&lt;p&gt;Keyu Guo&lt;/p&gt;&lt;p&gt;Kyoung Hwa Ha&lt;/p&gt;&lt;p&gt;Masahide Hamaguchi&lt;/p&gt;&lt;p&gt;Akihiro Hamasaki&lt;/p&gt;&lt;p&gt;Toshiaki Hanafusa&lt;/p&gt;&lt;p&gt;Rikinari Hanayama&lt;/p&gt;&lt;p&gt;Shinichi Harashima&lt;/p&gt;&lt;p&gt;Goji Hasegawa&lt;/p&gt;&lt;p&gt;Koshi Hashimoto&lt;/p&gt;&lt;p&gt;Yoshitaka Hashimoto&lt;/p&gt;&lt;p&gt;Nabil A. Hasona&lt;/p&gt;&lt;p&gt;Yuji Hataya&lt;/p&gt;&lt;p&gt;Yoshitaka Hayashi&lt;/p&gt;&lt;p&gt;Yasuaki Hayashino&lt;/p&gt;&lt;p&gt;Sakoda Hideyuki&lt;/p&gt;&lt;p&gt;Shinji Higuchi&lt;/p&gt;&lt;p&gt;Tatsuhito Himeno&lt;/p&gt;&lt;p&gt;Tsutomu Hirano&lt;/p&gt;&lt;p&gt;Satoshi Hirayama&lt;/p&gt;&lt;p&gt;Takahisa Hirose&lt;/p&gt;&lt;p&gt;Inoue Hiroshi&lt;/p&gt;&lt;p&gt;Yushi Hirota&lt;/p&gt;&lt;p&gt;Takanori Honda&lt;/p&gt;&lt;p&gt;Minha Hong&lt;/p&gt;&lt;p&gt;Ruby Hoo&lt;/p&gt;&lt;p&gt;Ichiro Horie&lt;/p&gt;&lt;p&gt;Takeshi Horii&lt;/p&gt;&lt;p&gt;Yukio Horikawa&lt;/p&gt;&lt;p&gt;Masayuki Hosoi&lt;/p&gt;&lt;p&gt;Yi-Ting Hsieh&lt;/p&gt;&lt;p&gt;Paul Hsu&lt;/p&gt;&lt;p&gt;Cheng Hu&lt;/p&gt;&lt;p&gt;Haofei Hu&lt;/p&gt;&lt;p&gt;Chia-Luen Huang&lt;/p&gt;&lt;p&gt;Chuiguo Huang&lt;/p&gt;&lt;p&gt;Cn Huang&lt;/p&gt;&lt;p&gt;Yu-Tung Huang&lt;/p&gt;&lt;p&gt;Zhimin Huang&lt;/p&gt;&lt;p&gt;Mikael S Huhtala&lt;/p&gt;&lt;p&gt;Sartaj Hussain&lt;/p&gt;&lt;p&gt;You-Cheol H","PeriodicalId":51250,"journal":{"name":"Journal of Diabetes Investigation","volume":"15 12","pages":"1838-1840"},"PeriodicalIF":3.1,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jdi.14324","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Gestational diabetes in early pregnancy is associated with postpartum glucose intolerance: A perspective from the diabetes and pregnancy outcome for mother and baby study in Japan 妊娠早期妊娠糖尿病与产后葡萄糖耐受不良相关:来自日本糖尿病与妊娠结局的母婴研究
IF 3.1 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Pub Date : 2024-11-28 DOI: 10.1111/jdi.14368
Maki Yokoyama, Kei Miyakoshi, Noriyuki Iwama, Hiroshi Yamashita, Ichiro Yasuhi, Maki Kawasaki, Naoko Arata, Shiori Sato, Yuko Imura, Masako Waguri, Haruna Kawaguchi, Naoki Masaoka, Yoshiyuki Nakajima, Yuji Hiramatsu, Takashi Sugiyama, DREAMBee Study Gestational Diabetes Mellitus Group

Aims

To compare perinatal outcomes and postpartum glucose tolerance between women diagnosed with gestational diabetes mellitus (GDM) before 20 weeks of gestation (EGDM) and those diagnosed at or after 24 weeks of gestation (LGDM) in a Japanese population.

Materials and Methods

Data were obtained from a prospective GDM registry. Multivariate analysis was conducted to examine the association between the timing of GDM diagnosis (EGDM vs LGDM) and perinatal outcomes (preterm birth, small for gestational age, large for gestational age, pregnancy-induced hypertension, and neonatal hypoglycemia), as well as postpartum glucose intolerance.

Results

A total of 1,275 mother-infant pairs were analyzed for perinatal outcomes. Of these, 924 women underwent postpartum testing for glucose intolerance. No significant differences in perinatal outcomes were observed between the EGDM and LGDM groups, except that overweight/obese women with EGDM had 2.5-fold higher rate of preterm birth than those with LGDM. Postpartum glucose intolerance was 1.5 times more likely in the EGDM group than in the LGDM group.

Conclusions

Women with EGDM had a significantly higher risk of postpartum glucose intolerance than those with LGDM, despite similar perinatal outcomes between the two groups.

目的:比较日本人群中妊娠20周前(EGDM)和妊娠24周(LGDM)诊断为妊娠糖尿病(GDM)的妇女的围产期结局和产后糖耐量。材料和方法:数据来自前瞻性GDM注册表。通过多因素分析,研究GDM诊断时间(EGDM vs LGDM)与围产期结局(早产、小胎龄、大胎龄、妊娠高血压、新生儿低血糖)以及产后葡萄糖耐受不良之间的关系。结果:共对1275对母婴进行围产期结局分析。其中,924名妇女在产后接受了葡萄糖耐受不良的检测。EGDM组和LGDM组的围产期结局没有显著差异,除了超重/肥胖的EGDM妇女早产率比LGDM妇女高2.5倍。EGDM组发生产后葡萄糖耐受不良的可能性是LGDM组的1.5倍。结论:EGDM患者发生产后葡萄糖耐受不良的风险明显高于LGDM患者,尽管两组围产儿结局相似。
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引用次数: 0
Diabetes remission in newly diagnosed type 2 diabetes mellitus through short-term continuous subcutaneous insulin infusion intensive therapy combined with low-carbohydrate diet treatment 通过短期持续皮下胰岛素输注强化治疗结合低碳水化合物饮食治疗新诊断的2型糖尿病的缓解。
IF 3.1 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Pub Date : 2024-11-28 DOI: 10.1111/jdi.14371
Xuemei Huang, Jiajin Jiang, Li Liu, Yuanyuan Lin, Feng Zhang, Xiaoshan Ling, Haitao Wei, Guangjing Huang, Jinqun Ye, Cen Huang, Jianli Huang, Wenfu Tao, Xinyu Zou

Aim/Introduction

To evaluate the therapeutic efficacy short-term continuous subcutaneous insulin infusion (CSII) intensive therapy combined with a low-carbohydrate diet (LCD) for diabetes remission in patients with newly diagnosed type 2 diabetes mellitus.

Materials and Methods

This study included patients newly diagnosed with type 2 diabetes mellitus, who were randomly divided into two groups: conventional (conventional CSII + traditional lifestyle guidance); and intensive (intensive CSII + LCD lifestyle guidance). CSII was used for blood glucose control, with continuous glucose monitoring (CGM) used to monitor blood glucose levels. The primary outcome measure was hemoglobin A1c (HbA1c) level; secondary outcomes included body weight, body mass index (BMI), waist circumference, glycemic control, and biochemical indices.

Results

The time in range (TIR) in the intensive treatment group was greater than that in the conventional treatment group (P < 0.05). There was no significant difference in the incidence of hypoglycemia between the two groups (P > 0.05). Compared with the conventional treatment group, diabetes remission rates were significantly greater in the intensive treatment group (P < 0.05). In the intensive treatment group, fasting plasma glucose (FPG), HbA1c, Homeostasis Model assessment of Insulin Resistance (HOMA-IR), triglycerides (TG), low-density lipoprotein cholesterol (LDL-c), and changes in body weight, BMI, visceral fat area (VFA), and subcutaneous fat area (SFA) decreased significantly (P < 0.05). FPG, HOMA-IR, TG, LDL-c, and changes in body weight, BMI, waist circumference, and VFA were significantly correlated with HbA1c levels (P < 0.05).

Conclusions

The combination of intensive CSII and LCD lifestyle guidance had been improved the remission rate in patients with newly diagnosed type 2 diabetes mellitus.

目的/简介:评价短期持续皮下胰岛素输注(CSII)强化治疗联合低碳水化合物饮食(LCD)对新诊断的2型糖尿病患者糖尿病缓解的疗效。材料与方法:本研究纳入新诊断的2型糖尿病患者,随机分为常规组(常规CSII +传统生活方式指导);强化(强化CSII + LCD生活方式指导)。CSII用于控制血糖,连续血糖监测(CGM)用于监测血糖水平。主要结局指标为血红蛋白A1c (HbA1c)水平;次要结局包括体重、身体质量指数(BMI)、腰围、血糖控制和生化指标。结果:强化治疗组的范围内时间(TIR)大于常规治疗组(p0.05)。与常规治疗组比较,强化治疗组糖尿病缓解率显著高于常规治疗组(P)。结论:强化CSII结合LCD生活方式指导可提高新诊断2型糖尿病患者的缓解率。
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引用次数: 0
Comments on “Non-classical monocytes frequency and serum vitamin D3 levels are linked to diabetic foot ulcer associated with peripheral artery disease” 关于 "非典型单核细胞频率和血清维生素 D3 水平与糖尿病足溃疡和外周动脉疾病相关 "的评论
IF 3.1 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Pub Date : 2024-11-26 DOI: 10.1111/jdi.14356
Mostafa Javanian, Mohammad Barary, Soheil Bakhshinasab, Soheil Ebrahimpour
<p>We read with great interest the article titled “Non-classical Monocyte Frequency and Serum Vitamin D3 Levels are Linked to Diabetic Foot Ulcer Associated with Peripheral Artery Disease,” published in your esteemed journal<span><sup>1</sup></span>. The research highlights the reduced frequency of non-classical monocytes and low vitamin D3 levels in patients with diabetic foot ulcers (DFUs) associated with peripheral artery disease (PAD), shedding light on the potential role of these factors in DFU pathogenesis. We commend the authors for this valuable contribution, but we believe several methodological improvements could further enhance the study's impact.</p><p>The study's focus on limited laboratory markers may have overlooked other potential indicators. Additional biomarkers, such as calcium, potassium, uric acid, liver function tests, and indices like the systemic immune-inflammation index (SII) and the systemic inflammation response index (SIRI), could provide deeper insights into the inflammatory processes at play in DFU patients<span><sup>2</sup></span>. This might help better predict poor outcomes.</p><p>Although the Meggitt–Wagner classification provided useful data, it lacks a clear focus on vascular involvement. Other classification systems, such as the PEDIS and SINBAD systems, which evaluate factors like perfusion, depth, infection, and ischemia, could offer a more comprehensive assessment of DFUs and their correlation with PAD<span><sup>3</sup></span>.</p><p>The study did not explore other medications beyond antidiabetic drugs that patients might have been using, nor did it address the impact of conditions like cancer, hematologic disorders, or autoimmune diseases. These factors can influence immune function and thus alter the study outcomes.</p><p>Alcohol consumption was not investigated, despite its known role in DFU outcomes. Additionally, categorizing smoking status into non-smokers, former smokers, and current smokers could provide a clearer picture of its impact on DFU development and progression.</p><p>Classifying PAD into mild, moderate, and severe categories and comparing the frequency of non-classical monocytes and vitamin D3 levels across these groups would enrich the analysis, offering more nuanced insights into the relationship between PAD severity and immune response.</p><p>The relatively small sample size of the study could limit its statistical power, leading to wider margins of error. A larger cohort would increase the robustness of the findings, ensuring better generalizability and precision<span><sup>4</sup></span>.</p><p>In conclusion, while this study makes a significant contribution to our understanding of the relationship between non-classical monocytes, vitamin D3, and DFUs associated with PAD, addressing the outlined limitations would strengthen the findings and their implications. We believe that future studies incorporating these factors could further advance research in this critical area.</p><p>The aut
{"title":"Comments on “Non-classical monocytes frequency and serum vitamin D3 levels are linked to diabetic foot ulcer associated with peripheral artery disease”","authors":"Mostafa Javanian,&nbsp;Mohammad Barary,&nbsp;Soheil Bakhshinasab,&nbsp;Soheil Ebrahimpour","doi":"10.1111/jdi.14356","DOIUrl":"10.1111/jdi.14356","url":null,"abstract":"&lt;p&gt;We read with great interest the article titled “Non-classical Monocyte Frequency and Serum Vitamin D3 Levels are Linked to Diabetic Foot Ulcer Associated with Peripheral Artery Disease,” published in your esteemed journal&lt;span&gt;&lt;sup&gt;1&lt;/sup&gt;&lt;/span&gt;. The research highlights the reduced frequency of non-classical monocytes and low vitamin D3 levels in patients with diabetic foot ulcers (DFUs) associated with peripheral artery disease (PAD), shedding light on the potential role of these factors in DFU pathogenesis. We commend the authors for this valuable contribution, but we believe several methodological improvements could further enhance the study's impact.&lt;/p&gt;&lt;p&gt;The study's focus on limited laboratory markers may have overlooked other potential indicators. Additional biomarkers, such as calcium, potassium, uric acid, liver function tests, and indices like the systemic immune-inflammation index (SII) and the systemic inflammation response index (SIRI), could provide deeper insights into the inflammatory processes at play in DFU patients&lt;span&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;/span&gt;. This might help better predict poor outcomes.&lt;/p&gt;&lt;p&gt;Although the Meggitt–Wagner classification provided useful data, it lacks a clear focus on vascular involvement. Other classification systems, such as the PEDIS and SINBAD systems, which evaluate factors like perfusion, depth, infection, and ischemia, could offer a more comprehensive assessment of DFUs and their correlation with PAD&lt;span&gt;&lt;sup&gt;3&lt;/sup&gt;&lt;/span&gt;.&lt;/p&gt;&lt;p&gt;The study did not explore other medications beyond antidiabetic drugs that patients might have been using, nor did it address the impact of conditions like cancer, hematologic disorders, or autoimmune diseases. These factors can influence immune function and thus alter the study outcomes.&lt;/p&gt;&lt;p&gt;Alcohol consumption was not investigated, despite its known role in DFU outcomes. Additionally, categorizing smoking status into non-smokers, former smokers, and current smokers could provide a clearer picture of its impact on DFU development and progression.&lt;/p&gt;&lt;p&gt;Classifying PAD into mild, moderate, and severe categories and comparing the frequency of non-classical monocytes and vitamin D3 levels across these groups would enrich the analysis, offering more nuanced insights into the relationship between PAD severity and immune response.&lt;/p&gt;&lt;p&gt;The relatively small sample size of the study could limit its statistical power, leading to wider margins of error. A larger cohort would increase the robustness of the findings, ensuring better generalizability and precision&lt;span&gt;&lt;sup&gt;4&lt;/sup&gt;&lt;/span&gt;.&lt;/p&gt;&lt;p&gt;In conclusion, while this study makes a significant contribution to our understanding of the relationship between non-classical monocytes, vitamin D3, and DFUs associated with PAD, addressing the outlined limitations would strengthen the findings and their implications. We believe that future studies incorporating these factors could further advance research in this critical area.&lt;/p&gt;&lt;p&gt;The aut","PeriodicalId":51250,"journal":{"name":"Journal of Diabetes Investigation","volume":"16 2","pages":"350-351"},"PeriodicalIF":3.1,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786170/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142724424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Trends in prescribing sodium-glucose cotransporter 2 inhibitors for individuals with type 2 diabetes with and without cardiovascular-renal disease in South Korea, 2015–2021 2015-2021 年韩国为患有或未患有心血管肾脏疾病的 2 型糖尿病患者开具钠-葡萄糖共转运体 2 抑制剂处方的趋势。
IF 3.1 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Pub Date : 2024-11-22 DOI: 10.1111/jdi.14363
Kyoung Hwa Ha, Soyoung Shin, EunJi Na, Dae Jung Kim

Background

This study evaluates shifts in oral glucose-lowering drug prescription patterns and the adoption of sodium-glucose cotransporter 2 inhibitors (SGLT2is) in South Korea.

Methods

A cross-sectional and retrospective cohort analysis of the Korean National Health Insurance database (2015–2021) assessed the prescription patterns of oral glucose-lowering drugs by therapy level, SGLT2i prescriptions by cardiovascular-renal disease (CVRD) status, and the mean duration for SGLT2i therapy initiation and intensification.

Results

From 2015 to 2021, the number of individuals prescribed oral glucose-lowering drugs across all regimen levels increased. However, the proportion of individuals receiving monotherapy or dual combination therapy decreased by 9.2 percentage points, whereas the proportion prescribed triple or more combination therapy increased. SGLT2i prescriptions increased from 2.5% in 2015 to 13.9% in 2021, marking an 11.4 percentage point growth. This trend was consistent among individuals with and without CVRD, with the most significant increase observed in individuals with heart failure—from 2.2% in 2015 to 16.6%. The mean time to SGLT2i initiation post-diagnosis was shortened from 249 days in 2015 to 158 days in 2019.

Conclusions

The adoption of SGLT2i therapy was on the rise, especially among individuals with heart failure, accompanied by a notable decrease in time to treatment initiation. Despite these positive trends, the overall use of SGLT2i among individuals with CVRD remained limited.

背景:本研究评估了韩国口服降糖药处方模式的变化以及钠-葡萄糖共转运体 2 抑制剂(SGLT2is)的采用情况:本研究评估了韩国口服降糖药处方模式的变化以及钠-葡萄糖共转运体2抑制剂(SGLT2is)的采用情况:方法:通过对韩国国民健康保险数据库(2015-2021年)进行横断面和回顾性队列分析,评估了按治疗级别划分的口服降糖药处方模式、按心血管肾脏疾病(CVRD)状态划分的SGLT2i处方以及SGLT2i治疗启动和强化的平均持续时间:结果:从 2015 年到 2021 年,所有疗程水平的口服降糖药处方人数均有所增加。但是,接受单一疗法或双重联合疗法的人数比例下降了 9.2 个百分点,而接受三重或更多联合疗法的人数比例则有所增加。SGLT2i处方从2015年的2.5%增至2021年的13.9%,增长了11.4个百分点。这一趋势在有 CVRD 和无 CVRD 的患者中一致,在心力衰竭患者中观察到最显著的增长--从 2015 年的 2.2% 增长到 16.6%。诊断后开始使用 SGLT2i 的平均时间从 2015 年的 249 天缩短到 2019 年的 158 天:SGLT2i疗法的采用率呈上升趋势,尤其是在心衰患者中,同时开始治疗的时间明显缩短。尽管出现了这些积极的趋势,但SGLT2i在CVRD患者中的总体使用仍然有限。
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引用次数: 0
The health-economic impact of urine albumin-to-creatinine ratio testing for chronic kidney disease in Japanese patients with type 2 diabetes 日本 2 型糖尿病患者尿白蛋白-肌酐比值检测对慢性肾病的健康经济影响。
IF 3.1 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Pub Date : 2024-11-22 DOI: 10.1111/jdi.14293
Koichi Asahi, Tsuneo Konta, Kouichi Tamura, Fumitaka Tanaka, Akira Fukui, Yusuke Nakamura, Junichi Hirose, Kenichi Ohara, Yoko Shijoh, Matthew Carter, Kimberley Meredith, James Harris, Örjan Åkerborg, Naoki Kashihara, Takashi Yokoo

Aims/Introduction

This analysis seeks to evaluate the cost-effectiveness of urine albumin-to-creatinine ratio testing compared with urine protein-creatinine ratio testing and no urine testing for the identification of kidney damage in individuals with type 2 diabetes who have, or are at risk of, chronic kidney disease in Japan.

Materials and Methods

A health-economic model estimated the clinical and economic consequences of different tests to evaluate kidney damage in line with Japanese guidelines, taking a Japanese healthcare perspective. Differences in the diagnostic performance of tests were considered by the integration of real-world Japanese data. Outcomes were considered over a lifetime horizon, and included costs, prevented dialyses, life years gained, quality-adjusted life years, and incremental cost-effectiveness ratios.

Results

Repeated urine albumin-to-creatinine ratio testing was found to be cost-effective compared with both urine protein-creatinine ratio testing and no urine testing, yielding incremental cost-effectiveness ratios of ¥2,652,693 and ¥2,460,453, respectively.

Conclusions

Repeated urine albumin-to-creatinine ratio testing is cost-effective compared with urine protein-creatinine ratio testing and no urine testing in Japanese individuals with type 2 diabetes, supporting existing clinical evidence that albumin-to-creatinine ratio testing should be used more widely, particularly compared with other urine tests such as urine protein-creatinine ratio testing.

目的/简介:本分析旨在评估尿液白蛋白-肌酐比值检测与尿蛋白-肌酐比值检测和不进行尿液检测相比,在识别日本患有或有慢性肾脏病风险的2型糖尿病患者肾脏损伤方面的成本效益:健康经济模型从日本医疗保健的角度出发,估算了根据日本指南评估肾脏损伤的不同检测方法的临床和经济后果。通过整合日本的实际数据,考虑了各种检查诊断性能的差异。结果包括成本、避免的透析次数、延长的生命年数、质量调整生命年数以及增量成本效益比:结果:重复尿液白蛋白-肌酐比值检测与尿蛋白-肌酐比值检测和不进行尿液检测相比具有成本效益,其增量成本效益比分别为 2,652,693 日元和 2,460,453 日元:结论:在日本的 2 型糖尿病患者中,与尿蛋白-肌酐比值检测和不进行尿液检测相比,重复尿液白蛋白-肌酐比值检测具有成本效益,这支持了现有的临床证据,即白蛋白-肌酐比值检测应得到更广泛的应用,尤其是与尿蛋白-肌酐比值检测等其他尿液检测相比。
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引用次数: 0
Association between severity of diabetic complications and risk of cancer in middle-aged patients with type 2 diabetes 中年 2 型糖尿病患者糖尿病并发症严重程度与癌症风险之间的关系。
IF 3.1 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Pub Date : 2024-11-22 DOI: 10.1111/jdi.14364
Yao-Hsien Tseng, Yu-Tse Tsan, Pau-Chung Chen

Aim

Hyperglycemia was found to be associated with an increased risk of cancer in a general population cohort. However, it remains to be established whether the severity of diabetic complications is associated with cancer risk in patients with diabetes.

Materials and Methods

We used the National Health Insurance Research Database from 2000 through 2013, including those with newly diagnosed diabetic patients (n = 616,742). We collected all vascular and metabolic complications to develop an adapted diabetic complication severity index (aDCSI), ranging from 0 to 13 annually, as proxies of the severity of diabetic complications and performed follow-up from the onset of diabetes until incident cancer, death, or the study end.

Results

Within the mean follow-up period of 9 years, the rates of cancer incidence per 100,000 person-years were 815.2 vs 482.0 and 611.1 vs 358.9 for the top vs bottom quartiles, respectively, of aDCSI in men and women (adjusted HRs 1.17 (95% CI 1.10–1.25) and 1.20 (95% CI 1.10–1.30), respectively). The risk of cancer was 1.7- to 1.9-fold for the top vs bottom quartiles of aDCSI in diabetic onset age of 40–44 (HRs 1.74 (95% CI, 1.39–2.18) in men and HRs 1.93 (95% CI, 1.39–2.66) in women). However, among patients with diabetic onset age of 60–64, the associations between the severity of diabetic complications and cancer risk were attenuated.

Conclusions

Patients with higher severity of diabetic complications have an increased risk of cancer compared to those with the lowest severity, particularly for those with earlier onset and greater severity of diabetic complications.

目的:在一个普通人群队列中发现,高血糖与癌症风险增加有关。然而,糖尿病并发症的严重程度是否与糖尿病患者的癌症风险有关,仍有待确定:我们使用了 2000 年至 2013 年的全国健康保险研究数据库,其中包括新诊断的糖尿病患者(n = 616,742 人)。我们收集了所有血管并发症和代谢并发症,制定了经调整的糖尿病并发症严重程度指数(aDCSI),每年从0到13不等,作为糖尿病并发症严重程度的代用指标,并从糖尿病发病开始进行随访,直至癌症发生、死亡或研究结束:在平均 9 年的随访期内,男性和女性 aDCSI 四分位数的最高值和最低值每 10 万人年的癌症发病率分别为 815.2 vs 482.0 和 611.1 vs 358.9(调整后 HR 分别为 1.17 (95% CI 1.10-1.25) 和 1.20 (95% CI 1.10-1.30))。在发病年龄为 40-44 岁的糖尿病患者中,aDCSI 的最高四分位数与最低四分位数的癌症风险分别为 1.7 倍至 1.9 倍(男性的 HRs 为 1.74(95% CI,1.39-2.18),女性的 HRs 为 1.93(95% CI,1.39-2.66))。然而,在发病年龄为 60-64 岁的糖尿病患者中,糖尿病并发症的严重程度与癌症风险之间的关系有所减弱:结论:与并发症严重程度最低的患者相比,糖尿病并发症严重程度较高的患者罹患癌症的风险增加,尤其是那些发病较早、糖尿病并发症严重程度较高的患者。
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Journal of Diabetes Investigation
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