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    蔡道章院长

    Custom Mod Mega1

    主任医师、教授、博导,南方医科大学第三附属医院(广东省骨科医院)院长

    • 中德骨科伤口管理学校校长
    • 广东省骨科研究院运动医学研究所所长
    • 广东省内运动医学专业唯一的博士研究生导师
    • 美国哈弗大学医学院骨科访问学者
    • 专业特长处于省内领先、国内或国际先进水平以上
    • 2018年获得“国之名医卓越建树”荣誉称号
    • 2017年被评为全国卫生计生系统先进工作者、广东省医学领军人才
    • 中国医师协会运动医师分会副会长
    • STCOT中国部运动医学分会副主任委员
    • 广东省医学会关节外科分会主任委员
    • 广东省医学会运动医学会分会名誉主任委员
    • 独立承担过国家“863”课题,主持过10余项省、部级科研项目
    • 多份专业杂志编委
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    • Metabolic challenges in rheumatoid arthritis: a translational overview from pathogenesis to patient care 2026-04-30 00:00

      Sara Ferrigno1  · Eneida Çela1  · Mauro Fatica1,2 · Benedetta Monosi1  · Arianna D’Antonio1  · Paola Conigliaro1  · Marina Cardellini3,4 · Susanna Longo3,4 · Massimo Federici3,4 · Maria Sole Chimenti1

      Received: 20 February 2026 / Accepted: 26 March 2026 © The Author(s) 2026

      Abstract

      Rheumatoid arthritis (RA) is an inflammatory disease characterized by a higher burden of cardiovascular and metabolic diseases than in the general population. Altered lipid and glucose metabolic pathways are widely observed, primarily due to chronic inflammation. However, metabolic dysfunction may also affect RA pathogenesis, further enhancing immune cell activation and joint damage. Glucose and lipid alterations observed in RA help define the comorbidity burden of this disease, significantly affecting disease activity and prognosis. The aim of the present review is to describe the role of metabolic dysfunctions in RA and to examine how disease activity and treatments can influence these conditions. We also summarized the main management strategies based on current literature and developed a cardiometabolic monitoring algorithm across different clinical settings to support daily patient care of these patients.

      Keywords Rheumatoid arthritis · Glucose metabolism · Lipid metabolism · Atherogenesis · Inflammation · Immune-metabolism · Cardiovascular risk

      Sara Ferrigno and Eneida Çela contributed equally to this manuscript

      Communicated by Salvatore Corrao, M.D

      Sara Ferrigno

      该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。

      1 Rheumatology, Allergology and Clinical Immunology, Department of Systems Medicine, Department of “Medicina dei Sistemi”, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy

      2 Academic Rheumatology Unit, Department of Medicine and Health Sciences “Vincenzo Tiberio”, University of Molise, Via Giovanni Paolo II, C/da Tappino, Campobasso 86100, Italy

      3 Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy

      4 Center for Atherosclerosis, Policlinico Tor Vergata, Viale Oxford 81, Rome 00133, Italy

    • Associations between cardiometabolic traits and diabetic cardiomyopathy: an imaging-based analysis 2026-04-29 00:00

      Georgios Mavraganis1  · Dimitrios Bampatsias1,2 · Christina Konstantaki1  · Kamil Stankowski3,4 ·Stavros Athanasopoulos1  · Chrysoula Moustou1  · Alexandros Alexandropoulos1  · Stefano Figliozzi3,4 ·Angelos Soranides1  · Ioannis Petropoulos1  · Dimitrios Klettas5  · Kimon Stamatelopoulos1,6 ·Georgios Georgiopoulos1,7

      Received: 12 December 2025 / Accepted: 15 March 2026 © The Author(s) 2026

      Abstract

      Introduction Diabetic cardiomyopathy (DCM) often evades diagnosis before manifestation of clinical symptoms. In this study we explored how cardiometabolic traits influence early cardiac structure and function in asymptomatic people living with diabetes (PwD), using advanced imaging.

      Methods We conducted a cross-sectional study of 88 participants: 57 people living with type 2 diabetes (PwT2D), 16 people living with type 1 diabetes (PwT1D) and 15 controls. All subjects underwent transthoracic echocardiography and/or cardiac magnetic resonance (CMR) imaging. Strain analysis, perfusion indices, and tissue characterization (T1, T2, and extracellular volume) were assessed. Arterial stiffness via pulse wave velocity (PWV), ventricular-arterial coupling (VAC), circulating biomarkers and liver fibrosis indices were evaluated.

      Results PwD had lower cardiac index than controls. Global longitudinal strain (GLS) and global radial strain were lower in both diabetes mellitus (DM) groups, while left atrial strain was most impaired in PwT2D (β-coefficient= − 11.77, P=0.003). DM duration≥10 years was associated with worse GLS (β-coefficient= − 2.18, P=0.033) and right VAC (β-coefficient= − 0.27, P=0.027) after multivariable analysis. While tissue characterization and perfusion indices showed no significant group differences, tight glycemic control in PwD correlated with improved myocardial strain parameters. PwT2D exhib-ited greater arterial stiffness (β-coefficient=1.52, P=0.003). In PwD, elevated non-alcoholic fatty liver disease score cor-related with increased left ventricular mass (β-coefficient=6,195, P=0.022) and decreased left ventricular ejection fraction (LVEF) (β-coefficient= − 3.12, P=0.017). Higher growth differentiation factor levels were associated with reduced LVEF (β-coefficient= − 0.005, P=0.029).

      Conclusion This multimodal imaging study highlights myocardial and vascular changes in asymptomatic PwD. Early com-prehensive cardiovascular assessment may help identify dysfunction before overt heart failure develops.

      Keywords Diabetic cardiomyopathy · Cardiac magnetic resonance · Echocardiography · Arterial stiffness · Ventricular-arterial coupling · Liver fibrosis

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Pharmacologic Impact (aka "Breaking Bad") of Medications on Wound Healing and Wound Development: A Literature-based Overview

Pharmacologic Impact (aka "Breaking Bad") of Medications on Wound Healing and Wound Development: A Literature-based Overview

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2019-10-30 00:00
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Janice M. Beitz

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Pressure Injury Risk Factors in Adult Critical Care Patients: A Review of the Literature

Pressure Injury Risk Factors in Adult Critical Care Patients: A Review of the Literature

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Jill Cox

An Overview of Clinical and Health Economic Evidence Regarding Porcine Small Intestine Submucosa Extracellular Matrix in the Management of Chronic Wounds and Burns

An Overview of Clinical and Health Economic Evidence Regarding Porcine Small Intestine Submucosa Extracellular Matrix in the Management of Chronic Wounds and Burns

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Leo M. Nherera

Marco Romanelli

Paul Trueman

Attitude Isn't the Only Thing, It's Everything: Humanistic Care of the Bariatric Patient Using Donabedian's Perspective on Quality of Care

Attitude Isn't the Only Thing, It's Everything: Humanistic Care of the Bariatric Patient Using Donabedian's Perspective on Quality of Care

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  • Metabolic challenges in rheumatoid arthritis: a translational overview from pathogenesis to patient care 2026-04-30 00:00

    Sara Ferrigno1  · Eneida Çela1  · Mauro Fatica1,2 · Benedetta Monosi1  · Arianna D’Antonio1  · Paola Conigliaro1  · Marina Cardellini3,4 · Susanna Longo3,4 · Massimo Federici3,4 · Maria Sole Chimenti1

    Received: 20 February 2026 / Accepted: 26 March 2026 © The Author(s) 2026

    Abstract

    Rheumatoid arthritis (RA) is an inflammatory disease characterized by a higher burden of cardiovascular and metabolic diseases than in the general population. Altered lipid and glucose metabolic pathways are widely observed, primarily due to chronic inflammation. However, metabolic dysfunction may also affect RA pathogenesis, further enhancing immune cell activation and joint damage. Glucose and lipid alterations observed in RA help define the comorbidity burden of this disease, significantly affecting disease activity and prognosis. The aim of the present review is to describe the role of metabolic dysfunctions in RA and to examine how disease activity and treatments can influence these conditions. We also summarized the main management strategies based on current literature and developed a cardiometabolic monitoring algorithm across different clinical settings to support daily patient care of these patients.

    Keywords Rheumatoid arthritis · Glucose metabolism · Lipid metabolism · Atherogenesis · Inflammation · Immune-metabolism · Cardiovascular risk

    Sara Ferrigno and Eneida Çela contributed equally to this manuscript

    Communicated by Salvatore Corrao, M.D

    Sara Ferrigno

    该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。

    1 Rheumatology, Allergology and Clinical Immunology, Department of Systems Medicine, Department of “Medicina dei Sistemi”, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy

    2 Academic Rheumatology Unit, Department of Medicine and Health Sciences “Vincenzo Tiberio”, University of Molise, Via Giovanni Paolo II, C/da Tappino, Campobasso 86100, Italy

    3 Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy

    4 Center for Atherosclerosis, Policlinico Tor Vergata, Viale Oxford 81, Rome 00133, Italy

  • Associations between cardiometabolic traits and diabetic cardiomyopathy: an imaging-based analysis 2026-04-29 00:00

    Georgios Mavraganis1  · Dimitrios Bampatsias1,2 · Christina Konstantaki1  · Kamil Stankowski3,4 ·Stavros Athanasopoulos1  · Chrysoula Moustou1  · Alexandros Alexandropoulos1  · Stefano Figliozzi3,4 ·Angelos Soranides1  · Ioannis Petropoulos1  · Dimitrios Klettas5  · Kimon Stamatelopoulos1,6 ·Georgios Georgiopoulos1,7

    Received: 12 December 2025 / Accepted: 15 March 2026 © The Author(s) 2026

    Abstract

    Introduction Diabetic cardiomyopathy (DCM) often evades diagnosis before manifestation of clinical symptoms. In this study we explored how cardiometabolic traits influence early cardiac structure and function in asymptomatic people living with diabetes (PwD), using advanced imaging.

    Methods We conducted a cross-sectional study of 88 participants: 57 people living with type 2 diabetes (PwT2D), 16 people living with type 1 diabetes (PwT1D) and 15 controls. All subjects underwent transthoracic echocardiography and/or cardiac magnetic resonance (CMR) imaging. Strain analysis, perfusion indices, and tissue characterization (T1, T2, and extracellular volume) were assessed. Arterial stiffness via pulse wave velocity (PWV), ventricular-arterial coupling (VAC), circulating biomarkers and liver fibrosis indices were evaluated.

    Results PwD had lower cardiac index than controls. Global longitudinal strain (GLS) and global radial strain were lower in both diabetes mellitus (DM) groups, while left atrial strain was most impaired in PwT2D (β-coefficient= − 11.77, P=0.003). DM duration≥10 years was associated with worse GLS (β-coefficient= − 2.18, P=0.033) and right VAC (β-coefficient= − 0.27, P=0.027) after multivariable analysis. While tissue characterization and perfusion indices showed no significant group differences, tight glycemic control in PwD correlated with improved myocardial strain parameters. PwT2D exhib-ited greater arterial stiffness (β-coefficient=1.52, P=0.003). In PwD, elevated non-alcoholic fatty liver disease score cor-related with increased left ventricular mass (β-coefficient=6,195, P=0.022) and decreased left ventricular ejection fraction (LVEF) (β-coefficient= − 3.12, P=0.017). Higher growth differentiation factor levels were associated with reduced LVEF (β-coefficient= − 0.005, P=0.029).

    Conclusion This multimodal imaging study highlights myocardial and vascular changes in asymptomatic PwD. Early com-prehensive cardiovascular assessment may help identify dysfunction before overt heart failure develops.

    Keywords Diabetic cardiomyopathy · Cardiac magnetic resonance · Echocardiography · Arterial stiffness · Ventricular-arterial coupling · Liver fibrosis

  • Role of automated insulin delivery (AID) systems in glucose control in patients with diabetes mellitus undergoing dialysis in Calabria: AID-DIAL-CAL 2026-04-28 00:00

    Elena Succurro1,2  · Giuseppe Cersosimo3  · Paola Sarnelli4  · Francesco Brisinda1  · Ilaria Gattuso1  · Valeria Mazza1  ·Giuseppe Fabiano1  · Fiorella Iorio3  · Roberta Arena3  · Giovanni Mazzitello5  · Ramona Nicotera5  · Maria Capria1  ·Gianluigi Zaza6  · Michele Andreucci1  · Raffaele Mancini5  · Francesco Andreozzi1,2

    Received: 22 December 2025 / Accepted: 16 March 2026© The Author(s) 2026

    Abstract

    Aims To describe the main glycemic outcomes and the Quality of Life (QOL) observed in a cohort of people with type 1(T1D) or type 2 (T2D) insulin-treated diabetes under dialysis who started an Automated Insulin Delivery (AID) system.

    Methods This is a longitudinal retrospective pilot real-world analysis of 14 individuals with T1D and T2D undergoingdialysis who began using an AID system to optimize glycemic control. All subjects used the MiniMed™ 780G system. Glu-cose metrics were collected at baseline, 3, 6, and 12 months after initiating the SmartGuard™ feature. The WHOQoL-Bref questionnaire was administered at the last follow-up to evaluate the QOL.

    Results Out of the 14 people, 8 reached 1-year follow-up. Time in Range (TIR) increased from 63% at baseline to 69% at 12 months, Time Below Range <70 mg/dL (TBR70) decreased from 0.3% to 0%, and Time Above Range >250 mg/dL (TAR250) decreased from 6.7% to 3.9%. Seven out of eight subjects who reached a 12-month follow-up achieved all three glycemic targets for this fragile population (TIR>50%, TBR70<1% and TAR250<10%). At the last follow-up, 58.3% of the users were satisfied or very satisfied with their health status, versus only 25% with the previous treatment, and 81.7% had a good or very good QOL, whereas only 8.3% had a good QOL, and no one had a very good QOL with the previous

    Conclusion This pilot real-world study showed how the use of an AID system is safe and can help to improve the glycemic outcomes and the QOL of people with diabetes in dialysis.

    Keywords Automated insulin delivery system · End-stage kidney disease · Dialysis · Time in range · Diabetes mellitus · Quality of Life

    Communicated by Salvatore Corrao, M.D

    Elena Succurro

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    1 Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Viale Europa, Catanzaro 88100, Italy

    2 Research Center for the Prevention and Treatment of Metabolic Diseases (CR METDIS), University Magna Graecia of Catanzaro, Catanzaro, Italy

    3 Azienda Ospedaliera Annunziata Cosenza, Cosenza, Italy

    4 ASL Viterbo, Viterbo, Italy

    5 ASP Catanzaro, Catanzaro, Italy

    6 Department of Civil Engineering, University of Calabria, Rende, Italy

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