Introduction: Type 2 diabetes mellitus (T2D) has acquired epidemic proportions worldwide. In recent years, new oral glucose-lowering drugs (OGLD) have emerged that improve the cardiovascular-kidney-metabolic control in T2D people.
Objectives: To compare the baseline clinical-biological characteristics among T2D people to whom had added-on dapagliflozin (DAPA group) or another OGLD (SOC group) second-line hypoglycaemic therapies among the AGORA study population.
Methods: This is a multicentre cross-sectional observational study of the baseline characteristics of T2D people recruited through competitive sampling among 46 primary care health centres in Spain for the AGORA study. The inclusion and exclusion criteria of participants, and justification of the sample size are reported. After verifying the data necessary to be evaluated and informed consent, 317 subjects were included to the DAPA group and 288 to the SOC group. Both categorical and continuous variables were analysed and compared with the usual statistics. Cohen's d was used to assess the standardised difference in means.
Results: Six hundred and five patients with T2D were assessed (mean age 63.5 [SD±8.1] years, 61.8% men), whom 17.4% were smokers, 47.6% had obesity, 74.8% hypertension, 87.3% dyslipidaemia, and 41.7% reported physical inactivity, with no significant differences between both comparison groups. The mean (SD) evolution time of T2D was 10.1 (5.6) years. Most baseline clinical-biological characteristics at recruitment were similar in both groups. However, DAPA group was younger (2.9 years), and had lower systolic blood pressure (SBP) (2.8mmHg), higher body weight (BW) (3.7kg), and higher glycated haemoglobin A (HbA) (0.3%) than SOC group. Only 11.5% of participants had poor glycaemic control (HbA>8%) at recruitment, 54.9% had good glycaemic control (HbA<7%), being significantly lower in the DAPA group (47.3%) than in the SOC group (63.4%). The percentage of T2D patients with high vascular risk (VR) was 46.3%, and 53.7% with very high VR, being significantly higher in the DAPA group (57.4%) than in the SOC group (49.6%).
Conclusions: Most baseline cardiovascular-kidney-metabolic characteristics were similar in T2D patients whom had added dapagliflozin on second-line hypoglycaemic therapy as those whom had added-on another OGLD. However, patients whom had added-on dapagliflozin had higher VR, lower SBP, higher BW, and slightly worse HbA control. Future research is necessary to explain the causes of these differences in cardiometabolic control.
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http://dx.doi.org/10.1016/j.arteri.2024.05.001 | DOI Listing |
medRxiv
December 2024
Program in Immunology, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Acute myeloid leukemia (AML) that is relapsed and/or refractory post-allogeneic hematopoietic cell transplantation (HCT) is usually fatal. In a prior study, we demonstrated that AML relapse in high-risk patients was prevented by post-HCT immunotherapy with Epstein-Barr virus (EBV)-specific donor CD8 T cells engineered to express a high-affinity Wilms Tumor Antigen 1 (WT1)-specific T-cell receptor (T). However, in the present study, infusion of EBV- or Cytomegalovirus (CMV)-specific T did not clearly improve outcomes in fifteen patients with active disease post-HCT.
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January 2025
Laboratory Genes and Disease, Department of Laboratory Medicine, Medical University of Vienna (MUW), Vienna, Austria.
Genetically engineered mouse models (GEMMs) are instrumental for modelling local and systemic features of complex diseases such as cancer. Non-invasive, longitudinal cell detection and monitoring in tumors, metastases and/or the micro-environment is paramount to achieve a better spatiotemporal understanding of cancer progression and to evaluate therapies in preclinical studies. Bioluminescent and fluorescent reporters marking tumor cells or their microenvironment are valuable for non-invasive cell detection and monitoring in vivo.
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Infectious Disease Epidemiology and Dynamics, London School of Hygiene and Tropical Medicine, London, UK.
Since the COVID-19 pandemic, considerable advances have been made to improve epidemic preparedness by accelerating diagnostics, therapeutics, and vaccine development. However, we argue that it is crucial to make equivalent efforts in the field of outbreak analytics to help ensure reliable, evidence-based decision making. To explore the challenges and key priorities in the field of outbreak analytics, the Epiverse-TRACE initiative brought together a multidisciplinary group of experts, including field epidemiologists, data scientists, academics, and software engineers from public health institutions across multiple countries.
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December 2024
Division of Thoracic Surgery, University Hospital of Lausanne, Rue du Bugnon 46 1011, Lausanne, Switzerland. Electronic address:
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December 2024
Research Group MITI, TUM University Hospital, School of Medicine and Health, Technical University of Munich, Munich, Germany.
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