Aims: The uptake of continuous subcutaneous insulin infusion (CSII) is low in adults with type 1 diabetes mellitus (T1DM) in Ireland, compared to other countries where CSII is reimbursed. To explore the reasons for the low uptake, this study aims to investigate the availability of CSII in adult diabetes clinics in Ireland.
Methods: A national survey of all adult diabetes clinics (public and private) in Ireland was conducted and completed anonymously by the lead physician/diabetes nurse specialist in each clinic. Descriptive statistics and comparisons between clinics offering different levels of care for CSII are presented.
Results: Of 50 diabetes clinics invited, 47 (94%) participated in the study. Fifteen clinics (32%) offered no support for CSII, while 21 (45%) reported offering both training to commence CSII and ongoing support. Based on the survey findings, access to CSII was unavailable for 2426 (11%) of those with T1DM. The majority (n = 15,831, 71% of 22,321 T1DM population) received diabetes care from clinics offering CSII training, but only 2165 were using CSII (10% of T1DM population). Uptake of CSII was higher in clinics offering training than in those offering follow-up care for CSII only (12% vs. 5%, p < 0.001). Clinics offering all CSII services had more specialists (p = 0.005 for endocrinologists and p < 0.001 for dietitians). Reasons for not offering CSII services included staff shortages and heavy workload.
Conclusions: This study highlights the low uptake of CSII in Ireland and demonstrates that, even when reimbursed, other barriers to uptake of CSII can limit its use.
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http://dx.doi.org/10.1007/s00592-020-01497-6 | DOI Listing |
J Am Med Inform Assoc
January 2025
Institute of Data Science, National University of Singapore, 117602, Singapore.
Objectives: This study introduces Smart Imitator (SI), a 2-phase reinforcement learning (RL) solution enhancing personalized treatment policies in healthcare, addressing challenges from imperfect clinician data and complex environments.
Materials And Methods: Smart Imitator's first phase uses adversarial cooperative imitation learning with a novel sample selection schema to categorize clinician policies from optimal to nonoptimal. The second phase creates a parameterized reward function to guide the learning of superior treatment policies through RL.
Eur Thyroid J
January 2025
D Yabe, Department of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine Faculty of Medicine, Kyoto, Japan.
Immune checkpoint inhibitors (ICIs) frequently cause immune-related adverse events (irAEs), with thyroid irAEs being the most common endocrine-related irAEs. The incidence of overt thyroid irAEs ranged 8.9-22.
View Article and Find Full Text PDFOptom Vis Sci
January 2025
Department of Medical Surgical Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Significance: Epidemiological information about the epiretinal membrane is important for better clinical management and understanding of the nature and burden of this disease. There are some gaps in our understanding of the epidemiology of epiretinal membranes, particularly in Africa and the Middle East.
Purpose: This study aimed to determine the prevalence and risk factors of epiretinal membrane using spectral-domain optical coherence tomography (OCT) in an Iranian elderly population.
Eur Heart J Cardiovasc Imaging
January 2025
Heart Institute, Department of Cardiology. Germans Trias i Pujol University Hospital, Barcelona,Spain.
Aims: To investigate the distribution of left atrioventricular coupling index (LACI) among patients with heart failure and left ventricular ejection fraction (LVEF)<50% and to explore its association with the combined endpoint of all-cause death or HF hospitalization at long term follow-up.
Methods And Results: Patients with HF and LVEF<50% undergoing cardiac magnetic resonance (CMR) were evaluated. Patients with atrial fibrillation or flutter were excluded.
J Bras Nefrol
January 2025
Santa Casa de Porto Alegre, Porto Alegre, RS, Brazil.
Introduction: Acute kidney injury (AKI) in the setting of COVID-19 is associated with worse clinical and renal outcomes, with limited long-term data.
Aim: To evaluate critically ill COVID-19 patients with AKI that required nephrologist consultation (NC-AKI) in a tertiary hospital.
Methods: Prospective single-center cohort of critically ill COVID-19 adult patients with NC-AKI from May 1st, 2020, to April 30th, 2021.
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