None DOI Open Access

Izzatul Mardiah Saini,

Fatima Nur Misana,

Nurzahara Bagus

et al.

Jurnal Informasi Kesehatan Indonesia (JIKI), Journal Year: 2023, Volume and Issue: 9(1), P. 70 - 70

Published: May 26, 2023

Latar Belakang: Penyakit tidak menular telah menjadi penyebab utama kematian di Indonesia. Untuk menanggulanginya, pemerintah Republik Indonesia membuat beberapa kebijakan yang menghasilkan program seperti Pandu PTM. PANDU PTM merupakan suatu  pendekatan faktor risiko untuk deteksi dini dan pemantauan terintegrasi dilaksanakan melalui kegiatan Posbindu Tujuan Penelitian: Penelitian ini bertujuan mengetahui hubungan antara pelaksanaan dengan angka kejadian diabetes melitus Subjek Metode: dilakukan dari Maret-April 2023. menggunakan desain observasional analitik studi ekologi. Sampel dalam penelitian adalah provinsi berjumlah 34 Provinsi. Data digunakan data sekunder diperoleh Riskesdas Tahun 2018 Profil Kesehatan 2018. Variabel independen persentase capaian variabel dependen prevalensi melitus. dianalisis regresi linier sederhana Hasil: Hasil menunjukkan bahwa ada (Sig = 0,191) Kesimpulan: Pelaksanaan didukung adanya tenaga kesehatan ahli masih kurangnya kesadaran masyarakat.  Disarankan meningkatkan keahlian petugas masyarakat akan pentingnya melaksanakan resiko penyakit.

Comparative Analysis of AI Tools for Disseminating ADA 2025 Diabetes Care Standards: Implications for Cardiovascular Physicians DOI Creative Commons
Tengfei Zheng

Journal of Diabetes, Journal Year: 2025, Volume and Issue: 17(3)

Published: March 1, 2025

Language: Английский

Citations

0

Accuracy of the 15.5-Day G7 iCGM in Adults with Diabetes DOI

Satish K. Garg,

Timothy S. Bailey, Kristin Castorino

et al.

Diabetes Technology & Therapeutics, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Background: Continuous glucose monitors (CGM) are increasingly being used to manage diabetes. We evaluated the performance and safety of an investigational 15-day G7 integrated CGM (iCGM; Dexcom) in adults with Methods: This prospective, multicenter study enrolled (age ≥18 years) type 1 diabetes (T1D) or 2 (T2D) at six clinical sites United States. Four in-clinic visits were conducted on days 1-3, 4-7, 9-12, 13-15.5, frequent arterialized venous blood draws for comparator measurements using a Yellow Springs Instrument (YSI) 2300 Stat Plus analyzer. Participants T1D T2D intensive insulin therapy participated clinic sessions deliberate, closely monitored manipulations. Accuracy evaluations included mean absolute relative difference (MARD), proportion values within 15 mg/dL YSI <70 15% ≥70 (%15/15), as well %20/20, %30/30, %40/40 agreement rates. Performance related iCGM special controls, user experience, device also assessed. Results: The 130 (mean ± standard deviation age 43.0 14.4 years, 53.1% female, 86.9% T1D) analyzed 20,310 CGM-YSI matched pairs from devices. overall MARD was 8.0% %15/15, rates 87.7%, 94.2%, 98.9%, 99.8%, respectively. exceeded goals, experiences broadly positive. No serious adverse events reported. Conclusions: accurate safe throughout 15.5-day wear period. Clinicaltrials.gov: NCT05263258.

Language: Английский

Citations

0

Is the Impact of Sodium–Glucose Co-Transporter 2 (SGLT2) Inhibitors on Bone Metabolism and Fracture Incidence a Class or Drug Effect? A Narrative Review DOI Creative Commons
George Ι. Lambrou,

Athanasia Samartzi,

Eugenia Vlachou

et al.

Medicines, Journal Year: 2025, Volume and Issue: 12(2), P. 10 - 10

Published: April 16, 2025

Background/Objectives: Type 2 diabetes mellitus (T2DM) has a growing prevalence, even in developed countries. Because of the increase life expectancy, number older people with T2DM is also increasing. The management and handling these patients challenging due to its co-morbidities. Aim: In present study, we reviewed literature order investigate impact sodium–glucose co-transporter inhibitors (SGLT-2 inhibitors) on bone metabolism fracture incidence. Methods: We searched using databases PubMed, CENTRAL Cochrane Central Register Controlled Trials up December 2024. Results: There controversial position concerning effects SGLT2 when administered T2DM, respect Multiple studies suggest have disadvantageous effect incidence, while several others beneficial effect. Conclusions: Patients type are at high risk alterations their metabolism. novel class pleiotropic many organs, such as kidneys heart, although incidence still unclear. Until more clinical data, all caregivers (medical nursing staff) should be aware possible fractures receiving this agents.

Language: Английский

Citations

0

Inpatient Management of Hyperglycemia DOI

Jill K. Wagoner,

Palak Choksi

Oxford University Press eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 551 - 556

Published: April 1, 2025

Abstract This chapter guides the reader on general principles, clinical manifestations, and management of hyperglycemia in hospitalized patients.

Language: Английский

Citations

0

How to take action beyond ambulatory glucose profile: Latin American expert recommendations on CGM data interpretation DOI Creative Commons
Luís Eduardo Calliari, A. Sepúlveda, Nicolás Coronel-Restrepo

et al.

Diabetology & Metabolic Syndrome, Journal Year: 2025, Volume and Issue: 17(1)

Published: May 8, 2025

Abstract Purpose This expert consensus provides a standardized methodology for interpreting continuous glucose monitoring (CGM) data to optimize diabetes management. It aims help healthcare professionals recognize glycemic patterns and apply targeted interventions based on real-time metrics. Methods A systematic literature review informed panel discussions. Specialists from Latin America assessed CGM interpretation challenges, reviewed key metrics, reached through an anonymous voting process. The recommendations align with international guidelines while addressing regional limitations in technology access infrastructure. Results Reliable requires at least 70% sensor use over 14 days. Ambulatory Glucose Profile (AGP) report serves as the primary tool, offering essential metrics such time range (TIR), below (TBR), above (TAR), coefficient of variation (CV), management indicator (GMI). Identifying hyperglycemia, hypoglycemia, variability allows personalized treatment adjustments. adopted targets, adapting them American settings. tight (TITR) was considered but not included due limited supporting evidence barriers advanced technology. Conclusions Standardized improves control decisions. These provide structured approach care, aiming enhance clinical outcomes address disparities America.

Language: Английский

Citations

0

Using Healthcare Claims Data to Identify Health Disparities for Individuals with Familial Hypercholesterolemia DOI
Mary P. McGowan, Chao Xing, Amit Khera

et al.

Journal of clinical lipidology, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

Citations

0

Recomendaciones preventivas vasculares. Actualización PAPPS 2024 DOI Creative Commons
Domingo Orozco‐Beltrán,

Carlos Brotons-Cuixart,

José R. Banegas

et al.

Atención Primaria, Journal Year: 2024, Volume and Issue: 56, P. 103123 - 103123

Published: Nov. 1, 2024

The recommendations of the semFYC's Program for Preventive Activities and Health Promotion (PAPPS) prevention vascular diseases (VD) are presented. New in this edition new sections such as obesity, chronic kidney disease metabolic hepatic steatosis, well a 'Don't Do' section different pathologies treated. have been updated: epidemiological review, where current morbidity mortality CVD Spain its evolution main risk factors described; (VR) calculation CV risk; arterial hypertension, dyslipidemia diabetes mellitus, describing method their diagnosis, therapeutic objectives lifestyle measures pharmacological treatment; indications antiplatelet therapy, screening atrial fibrillation, management conditions. quality testing strength recommendation included recommendations.

Language: Английский

Citations

1

A retrospective cohort study of a community-based primary care program’s effects on pharmacotherapy quality in low-income Peruvians with type 2 diabetes and hypertension DOI Creative Commons
John E. Deaver, Gabriela M. Uchuya, Wayne R. Cohen

et al.

PLOS Global Public Health, Journal Year: 2024, Volume and Issue: 4(8), P. e0003512 - e0003512

Published: Aug. 22, 2024

Little is known about the effects of Chronic Care Model (CCM) and community health workers (CHWs) on pharmacotherapy type 2 diabetes hypertension in resource-poor settings. This retrospective cohort implementation study evaluated a community-based program consisting CCM, CHWs, guidelines-based treatment protocols, inexpensive freely accessible medications quality. A door-to-door household survey identified 856 adults 35 years age older living low-income Peruvian community, whom 83% participated screening for hypertension. Patients with confirmed and/or program’s weekly to monthly visits < = 27 months. The was implemented as two care periods employed sequentially. During home care, CHWs made physician decisions remotely. subsequent clinic attended patients centralized clinic. compared (pre- versus post-) (N 262 observations), 211 observations) standards hypoglycemic antihypertensive agents, angiotensin converting enzyme inhibitors, low-dose aspirin. program, 80% 50% achieved standards, respectively, 35% 8% prior RRs 2.29 (1.72–3.04, p <0.001) 6.64 (3.17–13.9, p<0.001). Achievement not improved by (RRs 1.0 +/- 0.08). In both periods, longer retention (>50% allowable time) associated achievement all standards. 85% 56% standard shorter retention, RR 1.52 (1.13–2.06, p<0.001); 27% standard, 2.11 (1.29–3.45, dose-dependent manner,

Language: Английский

Citations

1

None DOI Open Access

Izzatul Mardiah Saini,

Fatima Nur Misana,

Nurzahara Bagus

et al.

Jurnal Informasi Kesehatan Indonesia (JIKI), Journal Year: 2023, Volume and Issue: 9(1), P. 70 - 70

Published: May 26, 2023

Latar Belakang: Penyakit tidak menular telah menjadi penyebab utama kematian di Indonesia. Untuk menanggulanginya, pemerintah Republik Indonesia membuat beberapa kebijakan yang menghasilkan program seperti Pandu PTM. PANDU PTM merupakan suatu  pendekatan faktor risiko untuk deteksi dini dan pemantauan terintegrasi dilaksanakan melalui kegiatan Posbindu Tujuan Penelitian: Penelitian ini bertujuan mengetahui hubungan antara pelaksanaan dengan angka kejadian diabetes melitus Subjek Metode: dilakukan dari Maret-April 2023. menggunakan desain observasional analitik studi ekologi. Sampel dalam penelitian adalah provinsi berjumlah 34 Provinsi. Data digunakan data sekunder diperoleh Riskesdas Tahun 2018 Profil Kesehatan 2018. Variabel independen persentase capaian variabel dependen prevalensi melitus. dianalisis regresi linier sederhana Hasil: Hasil menunjukkan bahwa ada (Sig = 0,191) Kesimpulan: Pelaksanaan didukung adanya tenaga kesehatan ahli masih kurangnya kesadaran masyarakat.  Disarankan meningkatkan keahlian petugas masyarakat akan pentingnya melaksanakan resiko penyakit.

Citations

0