AIM: To determine whether people with type 1 diabetes (T1D) initiating glucose sensor monitoring experience greater improvements in HbA1c when provided with education on carbohydrate counting and flexible insulin dosing than those who do not receive nutrition education. MATERIALS AND METHODS: Our retrospective observational study included 329 people with T1D initiating glucose sensor monitoring between 2015 and 2021. The participants were divided into two groups: one group attended at least one structured educational session with a registered dietitian (n = 126), while the other group did not receive structured education (n = 203). After 12 months of glucose sensor initiation, we compared glycaemic outcomes and CGM metrics between the two groups. RESULTS: At glucose sensor initiation, both groups with and without education had similar HbA1c levels (7.64% [60.0 mmol/mol] vs. 7.66% [60.2 mmol/mol]). After twelve months, the education group demonstrated greater improvement in glycemic outcomes (HbA1c 7.17% [54.9mmol/mol] vs. 7.37% [57.1 mmol/mol], p < 0.05) and spent significantly more time in the target range than did the group without structured education (68.8% vs. 64.1%, p < 0.05). We observed an inverse correlation between the number of completed educational sessions and HbA1c after 12 months, as well as between the number of educational sessions and the change in HbA1c. CONCLUSIONS: People with T1D who initiated glucose sensor monitoring alongside nutrition education showed greater improvements in HbA1c and increased time spent in the target glucose range compared to individuals who did not receive structured education. TRAIL REGISTRATION: ClinicalTrials.gov identifier: NCT06264271.
- MeSH
- diabetes mellitus 1. typu * krev MeSH
- dospělí MeSH
- glykovaný hemoglobin * analýza metabolismus MeSH
- hypoglykemika aplikace a dávkování MeSH
- inzulin aplikace a dávkování MeSH
- krevní glukóza * analýza metabolismus MeSH
- lidé středního věku MeSH
- lidé MeSH
- regulace glykemie MeSH
- retrospektivní studie MeSH
- selfmonitoring glykemie * MeSH
- vzdělávání pacientů jako téma * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- pozorovací studie MeSH
PURPOSE: This study aimed to compare general ophthalmologists, retina specialists, and Aireen AI screening system with the clinical reference standard of a three-member high-level expert committee for diabetic retinopathy (DR) in the evaluation of fundus images for DR. PATIENTS AND METHODS: The study was designed as a diagnostic, multicenter, cross-sectional, non-randomized diagnostic study. The cohort included in the clinical investigation consisted of 1274 patients with diabetes mellitus (DM) type I or II. Each patient underwent one-field fundus photography using a non-mydriatic camera to assess findings of DR. One hundred and nineteen subjects (9.3%) were excluded from the clinical investigation based on Aireen system assessment. In the clinical investigation, all images were assessed at three independent levels of evaluation: 1) general ophthalmologists (GO) - without subspecialty training in the retina; 2) retina specialists (RS); and 3) system Aireen. In cases where there may be disagreements amongst groups, the image is referred for assessment by the Diabetic Retinopathy Board (DRB). RESULTS: The overall prevalence of any DR was 31.9% (368 cases out of 1154 DM), according to the DRB. Overall concordance between AI system Aireen and GO and RS assessments in the detection of DR from fundus photography occurred in 734 cases (63.6%). The number of disagreements between Aireen system, GO and RS evaluation occurred in 420 (36.4%) cases. Sensitivity for GO was 87.0% (95% CI: 83.6; 90.4), for RS was 82.9% (95% CI: 79.1; 86.7), and for AI system Aireen was 92.1% (95% CI: 89.3; 94.9). Specificity was 76.5% (95% CI: 73.5; 79.5), 81.2% (95% CI: 78.5; 83.9), and 90.7% (95% CI: 88.7; 92.7) for GO, RS and AI system Aireen, respectively. CONCLUSION: This real-world study illustrates the potential use of AI system Aireen in screening for DR. It exhibits higher sensitivity and specificity compared to telemedicine evaluation of one field fundus image.
- Publikační typ
- časopisecké články MeSH
První vydání 231 stran : ilustrace ; 23 cm
Encyklopedie a příručka, která se zaměřuje na diabetes mellitus a jeho možné komplikace a na jejich management. Určeno široké veřejnosti.; Kniha nabízí lehce stravitelný souhrn aktuálních informací o cukrovce pro nemocné s diabetem a jejich blízké. Obsahuje více než 170 hesel, která srozumitelnou řečí vysvětlují podstatné pojmy, s nimiž se řada diabetiků během života s touto nemocí může setkat. Encyklopedie shrnuje a vysvětluje v psané i obrazové formě základy prevence, diagnostiky a léčby diabetu, jeho komplikací a nejčastějších přidružených nemocí. Cílem je umožnit se zorientovat v poměrně komplikované problematice diabetu a přispět tak k lepšímu vzájemnému porozumění mezi pacientem, lékařem a všemi dalšími, kteří pečují o jeho zdraví.
- MeSH
- diabetes mellitus * MeSH
- komplikace diabetu MeSH
- self-management MeSH
- Publikační typ
- encyklopedie MeSH
- populární práce MeSH
- příručky MeSH
- Konspekt
- Patologie. Klinická medicína
- NLK Obory
- diabetologie
- zdravotní výchova
