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INTRODUCTION AND OBJECTIVES: Type 1 diabetes is an autoimmune disease that destroys insulin-producing cells in the pancreas. Education is the cornerstone of effective diabetes care. In this implementation project, we aimed to improve compliance with best practices regarding type 1 diabetes educational interventions for adult hospitalized patients. METHODS: This project was guided by the JBI Evidence Implementation Framework. A baseline audit was conducted involving 20 nurses and 20 type 1 diabetes patients who received regular educational measures. Areas of non-compliance were identified and an improvement strategy was implemented. A follow-up audit was then conducted to evaluate the effectiveness of the improvement strategy. The project was conducted in Poland in 2021 in a tertiary referral unit that specializes in the diagnosis and treatment of diabetes. RESULTS: Substantial improvements were noted for all audit criteria after the implementation of strategies to address areas of non-compliance. Use of the education program improved from 0% to 100%. Compliance regarding patients receiving handouts and personalization of the program increased to 100%. We observed a significant improvement from 0% to 80% in the structuring of the program content. CONCLUSIONS: This project successfully improved the quality of education provided for type 1 diabetes patients in all relevant areas. We devised an education program, covering important aspects of diabetes education, with the patients reporting increased satisfaction with the personalized educational measures during their hospital stay. SPANISH ABSTRACT: http://links.lww.com/IJEBH/A215.
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OBJECTIVES: We aimed to assess the impact of the change of 1-hour postprandial glycemic target from < 6.7 mmol/L (120 mg/dL) to < 7.8 mmol/L (140 mg/dL) on gestational diabetes mellitus (GDM) treatment and pregnancy outcomes. MATERIAL AND METHODS: In a retrospective analysis of 1021 GDM patients from the Department of Metabolic Diseases, University Hospital in Cracow, Poland, we compared insulin therapy regimens and pregnancy outcomes between women admitted in 2014-2016 (before the change) and in 2018-2019 (after it). RESULTS: A total of 377 patients were admitted between 2014 and 2016 (TIGHT group) and 644 between 2018 and 2019 (LESS TIGHT group). Women from the LESS TIGHT group were older (32 vs 30 years, p < 0.001) and gained less weight during pregnancy (7.0 vs 9.0 kg, p < 0.001). There was no change in the frequency of any insulin therapy (51.6% vs 56.1%, p = 0.168). In the LESS TIGHT group, the basal insulin-only model was used more frequently (32.5% vs 10.2%, p < 0.001), while the prandial insulin and basal-bolus model less frequently (23.6% vs 42.6% and 21.4% vs 36.7%, p < 0.001, respectively) than in the TIGHT group. There were no differences in the frequency of cesarean sections, preterm births, Hbd of delivery, mean birth weight or prevalence of perinatal complications. CONCLUSIONS: Less tight glycemic targets in women with GDM, compared to tighter targets, were associated with less frequent use of prandial insulin, with insulin therapy often limited to basal administration. The change in glycemic targets did not affect the prevalence of adverse pregnancy outcomes, providing evidence supporting new recommendations.
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INTRODUCTION: We still lack studies providing analysis of changes in glucose and lipid metabolism after laparoscopic sleeve gastrectomy (LSG) in patients with type 2 diabetes mellitus (DM2). We aimed to investigate postoperative changes in glucose and lipid metabolism after LSG in patients with DM2. MATERIAL AND METHODS: Prospective, observational study included patients with BMI ≥ 35 kg/m2 and ≤ 50 kg/m2, DM2 < 10 years of duration, who were qualified for LSG. Perioperative 14-day continuous glucose monitoring (CGM) began after preoperative clinical assessment and OGTT, then reassessment 1 and 12 months after LSG. Thirty-three patients in mean age of 45 ± 10 years were included in study (23 females). RESULTS: EBMIL before LSG was 17 ± 11.7%, after 1 month-36.3 ± 12.8%, while after 12 months-66.1 ± 21.7%. Fifty-two percent of the patients had DM2 remission after 12 months. None required then insulin therapy. 16/33 patients initially on oral antidiabetics still required them after 12 months. Significant decrease in HbA1C was observed: 5.96 ± 0.73%; 5.71 ± 0.80; 5.54 ± 0.52%. Same with HOMA-IR: 5.34 ± 2.84; 4.62 ± 3.78; 3.20 ± 1.99. In OGTT, lower increase in blood glucose with lesser insulin concentrations needed to recover glucose homeostasis was observed during follow-ups. Overtime perioperative average glucose concentration in CGM of 5.03 ± 1.09 mmol/L significantly differed after 12 months, 4.60 ± 0.53 (p = 0.042). Significantly higher percentage of glucose concentrations above targeted compartment (3.9-6.7 mmol/L) was observed in perioperative period (7% ± 4%), than in follow-up (4 ± 6% and 2 ± 1%). HDL significantly rose, while triglyceride levels significantly decreased. CONCLUSIONS: Significant improvement in glucose and lipid metabolism was observed 12 months after LSG and changes began 1 month after procedure.
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Diabetes Mellitus Tipo 2 , Laparoscopía , Obesidad Mórbida , Femenino , Humanos , Adulto , Persona de Mediana Edad , Obesidad Mórbida/cirugía , Diabetes Mellitus Tipo 2/complicaciones , Diabetes Mellitus Tipo 2/cirugía , Glucemia/metabolismo , Glucosa , Automonitorización de la Glucosa Sanguínea , Estudios Prospectivos , Metabolismo de los Lípidos , Laparoscopía/métodos , Obesidad/cirugía , Insulina/metabolismo , Gastrectomía/métodos , Resultado del Tratamiento , Índice de Masa CorporalRESUMEN
Aims: This study aimed to assess the gingival crevicular fluid (GCF) microbiome and metabolome of adults with type 1 diabetes (T1D) treated with continuous subcutaneous insulin infusion (CSII). Methods: In this cross-sectional study, the GCF of adults with T1D treated with CSII and non-diabetic controls were sampled, and metagenomic/metabolomic analyses were performed. Results: In total, 65 participants with T1D and 45 healthy controls with a mean age of 27.05 ± 5.95 years were investigated. There were 22 cases of mild gingivitis (G) in the T1D group. There were no differences considering the Shannon and Chao indices and ß-diversity between people with T1D and G, with T1D without G, and healthy controls. Differential taxa were identified, which were mainly enriched in people with T1D and G. Acetic acid concentration was higher in people with T1D, regardless of the presence of G, than in healthy controls. Propionic acid was higher in people with T1D and G than in healthy controls. Isobutyric and isovaleric acid levels were higher in individuals with T1D and G than in the other two subgroups. The concentration of valeric acid was lower and that of caproic acid was higher in people with T1D (regardless of gingival status) than in healthy controls. Conclusions: The identification of early changes in periodontal tissues by targeting the microbiome and metabolome could potentially enable effective prevention and initial treatment of periodontal disease in people with T1D.