Showing posts with label continuous glucose monitoring. Show all posts
Showing posts with label continuous glucose monitoring. Show all posts

Tuesday, 9 December 2025

The Importance of Continuous Glucose Monitoring in Managing Diabetes Mellitus| Chapter 13 | Medical Science: Updates and Prospects Vol. 2

 

Background: Continuous Glucose Monitoring (CGM) is arguably the most important technological advance in diabetes management over the past 15 years. It gives patients and healthcare providers real-time data on blood glucose trends. Most research on CGM has been done in specialised clinics, and there is little awareness of studies using CGM in a general internal medicine residency clinic.

 

Aim: This study aimed to assess whether continuous glucose monitoring (CGM) can be safely integrated into an Internal Medicine Residency Clinic.

 

Methodology: This is a 4-year retrospective extension study conducted in an Internal Medicine Residency Clinic, not solely in a specialised Endocrine clinic managing Diabetes Mellitus Type 1 and Type 2 in patients using 3-4 insulin injections daily and self-monitoring their blood glucose (SMBG) four times a day. The study was extended by an additional year to increase the sample size and statistical power and to evaluate whether longer-term CGM use results in a sustainable reduction in HbA1c, which also functions as a glucose management indicator. Initially, 51 patients were followed for 3 years, and now the study includes an extra year of data. Subsequently, 40 more patients were added. Additionally, the reduction in the glucose management indicator (GMI) was assessed. In total, 91 patients were monitored. Internal medicine and transitional year residents transitioned patients from SMBG to CGM devices to improve blood glucose monitoring due to uncontrolled diabetes. Each patient was assigned to a specific resident, who was initially trained by an endocrinologist to interpret CGM data and adjust insulin treatments accordingly. These residents contacted their assigned patients by phone every two weeks to adjust treatment as needed.

 

Results: Shapiro-Wilk's test indicated that the post-intervention data did not violate the normality assumption (p = .063), while the pre-intervention data did (p = .003). Participants’ A1c levels before the intervention were higher (M = 10.29, SD = 2.22) compared to after the intervention (M = 7.04, SD = 1.11). Levene’s test showed equal variances between pre- and post-intervention periods (p = .07). Regarding participants’ blood glucose levels, a significant mean decrease of 89.62, 95% CI [-102.76, -76.48], t(91) = -13.547, p < .001, d = 1.83 was observed. To summarise the findings, the mean HbA1c (GMI) decreased by 3.24%, the average blood sugar dropped by 89 mg/dL, and the mean Time in Range (TIR) increased by 45%.

 

Conclusion: The study highlights the potential of CGM to enhance medical residents’ education, a potential that larger prospective trials will further investigate. Expanding CGM use across US residency programs could raise the standard of diabetes care nationwide.

 

 

Author(s) Details

A. Manov
Department of Internal Medicine and Transitional Year, Mountain View Hospital, Sunrise Health GME Consortium, Las Vegas, Nevada, United States.

 

K. Mefferd
Department of Internal Medicine and Transitional Year, Mountain View Hospital, Sunrise Health GME Consortium, Las Vegas, Nevada, United States.

 

Y. Badi
Department of Internal Medicine and Transitional Year, Mountain View Hospital, Sunrise Health GME Consortium, Las Vegas, Nevada, United States.

 

R. Haddadin
Department of Internal Medicine and Transitional Year, Mountain View Hospital, Sunrise Health GME Consortium, Las Vegas, Nevada, United States.

 

V. Milan
Department of Internal Medicine and Transitional Year, Mountain View Hospital, Sunrise Health GME Consortium, Las Vegas, Nevada, United States.

 

Please see the book here :- https://doi.org/10.9734/bpi/msup/v2/6644

Friday, 18 July 2025

Continuous Glucose Monitoring (CGM) in Type-1 Diabetes Mellitus: A Promising Aid in Effective Management | Chapter 8 | Medical Research and Its Applications Vol. 11

Considering the large, global prevalence of diabetes mellitus, there is an increasing demand for effective and innovative management aids. Monitoring of glucose levels is an essential component of diabetes care. Continuous glucose monitoring (CGM) is becoming widely accepted as an adjunct to diabetes management. It can provide real-time data on ambulatory glucose fluctuations and carries the potential to become a very valuable tool for a large part of the population worldwide.  This chapter entails a thorough literature review of the evolution of CGM devices, its working principles, recent breakthroughs, patient selection, areas with scope for more research, merits as well as drawbacks of CGM in patients of Type-1 diabetes mellitus.

 

Author(s) Details

Kumud Dhankhar

JSS Medical College, Mysuru, Karnataka, India.

 

Rakesh Dhankhar
Department of Radiation Oncology, Pt. BD Sharma PGIMS, Rohtak, Haryana, India.

 

Kiran Dahiya
Department of Biochemistry, Pt. BD Sharma PGIMS, Rohtak, Haryana, India.

 

Kabir Dhankhar
Amdocs, Pune, Maharashtra, India.

 

Rajandeep Singh
Pt. BD Sharma PGIMS, Rohtak, Haryana, India.

 

Chandini Dash
Department of Biochemistry, Pt. BD Sharma PGIMS, Rohtak, Haryana, India.

 

Ajay Momi
Department of Biochemistry, Pt. BD Sharma PGIMS, Rohtak, Haryana, India

 

Please see the book here:- https://doi.org/10.9734/bpi/mria/v11/1582


Monday, 7 April 2025

Impact of Continuous Glucose Monitoring (CGM) Devices in Managing Uncontrolled Diabetes Mellitus: A Retrospective Observational Study | Chapter 8 | Achievements and Challenges of Medicine and Medical Science Vol. 2

In the United States, there are around 90 million individuals affected by impaired glucose tolerance and impaired fasting blood glucose(pre-diabetes), with an additional 34 million diagnosed with diabetes mellitus (DM). Among those diagnosed, the majority (90-95%) have type 2 diabetes mellitus (T2DM), while 5-10% have type 1 diabetes mellitus (T1DM) or other rare forms of the disease. This retrospective study aimed to assess the effectiveness of continuous glucose monitoring (CGM) devices in managing uncontrolled diabetes mellitus (DM). The study cohort comprised 25 patients with uncontrolled diabetes who received treatment at an internal medicine resident clinic. The objective was to evaluate the impact of transitioning from self-monitoring of blood glucose (SMBG) to CGM devices on glycemic control, as measured by changes in hemoglobin A1c (HbA1c) levels, average blood glucose levels, hypoglycemic events, time spent within the target blood sugar range, and glucose variability. The main objective of the study was also to see if this can be done by Internal medicine residents in the Residency clinic after appropriate education by a Board Certified Endocrinologist. It is known that this is the first project of introduction of CGM in an Internal medicine clinic and not a specialized endocrine clinic in a project driven by Internal medicine residents. This can be introduced in other internal medicine residency programs in the United States to improve the quality of treatment of Diabetes and the quality of education of Internal medicine Residents. The findings indicated significant improvements in glycemic control with the adoption of CGM devices, highlighting their potential benefits for optimizing diabetes management. The mean HbA1c after transitioning from self-monitoring blood glucose (SMBG) to CGM decreased from 11.21% to 7.04% and average blood glucose decreased from 286 mg/dl to 158 mg/dl. Time in range increased after the transition to CGM from 18% to 74%, and mild hypoglycemia decreased from 4.75% to 0.78%. The dangerous more pronounced hypoglycemia of less than 54 mg/dl decreased after the switch from SMBG to CGM from 3.01% to 0.2%. All patients were using 3-4 injections of Insulin per day plus other injectable or peroral antidiabetic medications.

The study is fascinating because it was done in an internal medicine continuity clinic with the main participation of the internal medicine residents under the supervision of an endocrinologist. It was not done as the majority of the other studies used CGM in specialized endocrinology clinics.

 

Author (s) Details

 

Andre E. Manov
Department of Internal Medicine, Mountain View Hospital, Sunrise Health Graduate Medical Education (GME), Consortium, Las Vegas, USA.

 

Rakahn Haddadin
Department of Internal Medicine, Mountain View Hospital, Sunrise Health Graduate Medical Education (GME), Consortium, Las Vegas, USA.

 

Sukhjinder Chauhan
Department of Internal Medicine, Mountain View Hospital, Sunrise Health Graduate Medical Education (GME), Consortium, Las Vegas, USA.

 

Gundip Dhillon
Department of Internal Medicine, Mountain View Hospital, Sunrise Health Graduate Medical Education (GME), Consortium, Las Vegas, USA.

 

Athena Dhaliwal
Department of Internal Medicine, Mountain View Hospital, Sunrise Health Graduate Medical Education (GME), Consortium, Las Vegas, USA.

 

Sabrina Antonio
Department of Anesthesiology, Mountain View Hospital, Sunrise Health Graduate Medical Education (GME) Consortium, Las Vegas, USA.

 

Ashrita Donepudi
Department of Internal Medicine, Mountain View Hospital, Sunrise Health Graduate Medical Education (GME), Consortium, Las Vegas, USA.

 

Yema N. Jalal
Department of Internal Medicine, Mountain View Hospital, Sunrise Health Graduate Medical Education (GME), Consortium, Las Vegas, USA.

 

Jonathan Nazha
Department of Radiology, Mountain View Hospital, Sunrise Health Graduate Medical Education (GME) Consortium, Las Vegas, USA.

 

Melissa Banal
Department of Radiology, Mountain View Hospital, Sunrise Health Graduate Medical Education (GME) Consortium, Las Vegas, USA.

Joseph House
Department of Radiology, Mountain View Hospital, Sunrise Health Graduate Medical Education (GME) Consortium, Las Vegas, USA.

 

Please see the book here:- https://doi.org/10.9734/bpi/acmms/v2/2997

Thursday, 20 February 2025

Optimizing Insulin Delivery in Clinical Practice: Evidence-Based FITTER Guidelines for Improved Diabetes Management | Chapter 11 | Medicine Essentials in Clinical Practice

Insulin delivery methods play a pivotal role in the management of diabetes mellitus. Subcutaneous injections remain the cornerstone of insulin administration, offering flexibility with different insulin types—rapid-acting, short-acting, intermediate-acting, and long-acting, tailored to individual patient needs. Insulin pens provide a convenient alternative, offering prefilled cartridges or disposable units that simplify dosing and enhance patient adherence. For patients requiring intensive insulin therapy, insulin pumps offer continuous subcutaneous infusion, delivering basal insulin throughout the day with bolus doses at meal times. These devices provide flexibility in dosing and lifestyle management, although they require regular monitoring and maintenance. Implantable insulin pumps, though less common, provide continuous insulin infusion via surgically placed devices under the skin. They enhance predictability and flexibility in insulin therapy, reducing the risk of hypo- and hyperglycemia. Continuous glucose monitoring (CGM) systems complement insulin delivery methods by providing real-time glucose readings, and facilitating personalized insulin adjustments based on glucose trends. Selecting the appropriate insulin delivery method is pivotal in diabetes management, considering patient preferences, lifestyle factors, and treatment goals. Tailored approaches ensure optimal glycemic control and improve quality of life for individuals with diabetes mellitus. This chapter provides an overview of various insulin delivery methods utilized in clinical practice. It highlights various delivery options, including subcutaneous injections, insulin pens, and pumps, tailored to individual patient needs. The FITTER guidelines, developed through a rigorous review of international practices and evidence, address key challenges such as needle reuse, lipohypertrophy, and patient adherence.

 

Author (s) Details

 

Rohit Raina
Department of General Medicine, AIIMS Bathinda, Punjab- 151001, India.

 

Preeti Singh Dhoat
Department of General Medicine, AIIMS Bathinda, Punjab- 151001, India.

 

Deepak Chaudhary
Department of General Medicine, AIIMS Bathinda, Punjab- 151001, India.

 

Rajat Singh
Department of General Medicine, AIIMS Bathinda, Punjab- 151001, India.

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-49238-92-3/CH11

Monday, 17 October 2022

A Randomized Crossover Study Highlighting the Resistant Starch Consumption Effects on Glycemic Control and Glycemic Variability in Type 2 Diabetes Patients | Chapter 2 | Current Overview on Disease and Health Research Vol. 5

 This study was designed to determine the goods of native banana bounce and high- amylose sludge bounce on glycemic control and glycemic variability in cases with type 2 diabetes when treatments were matched for digestible bounce content. In a randomized, crossover study, nonstop glucose monitoring was performed in 17 actors( aged 28 – 65 times, BMI( ge) 25 kg/ m2, both genders) consuming native banana bounce, high- amylose sludge bounce or digestible sludge bounce for 4 days. Native banana bounce and high- amylose sludge bounce convinced an increase in 24 h mean blood glucose during days 2 to 4( p<0.05). nonstop lapping net glycemic action, glycemic threat assessment in diabetes equation and J- indicator values were advanced in high- amylose sludge bounce compared with digestible sludge bounce only at day 4( p<0.05). Yet, native banana bounce input provoked a reduction in fasting glycemia changes from birth compared with digestible sludge bounce( p = 0.0074).

In conclusion, under the experimental conditions, resistant bounce from two sources didn't ameliorate glycemic control or glycemic variability. unborn longer studies are demanded to determine whether these findings were affected by a different birth microbiota or other environmental factors.

Author(s) Details:

Yolanda Arias-Córdova,
Centro de Investigación, División Académica de Ciencias de la Salud (DACS), Universidad Juárez Autónoma de Tabasco (UJAT), Villahermosa 86150, Mexico.

Jorge Luis Ble-Castillo,
Centro de Investigación, División Académica de Ciencias de la Salud (DACS), Universidad Juárez Autónoma de Tabasco (UJAT), Villahermosa 86150, Mexico.

Carlos García-Vázquez,
Centro de Investigación, División Académica de Ciencias de la Salud (DACS), Universidad Juárez Autónoma de Tabasco (UJAT), Villahermosa 86150, Mexico.

Viridiana Olvera-Hernández,
Centro de Investigación, División Académica de Ciencias de la Salud (DACS), Universidad Juárez Autónoma de Tabasco (UJAT), Villahermosa 86150, Mexico.

Meztli Ramos-García,
Centro de Investigación, División Académica de Ciencias de la Salud (DACS), Universidad Juárez Autónoma de Tabasco (UJAT), Villahermosa 86150, Mexico.

Adrián Navarrete-Cortes,
Departamento de Medicina Interna, Hospital General de Zona No. 46, Instituto Mexicano del Seguro Social (IMSS), Villahermosa 86060, Mexico.

Guadalupe Jiménez-Domínguez,
Departamento de Medicina Interna, Hospital General de Zona No. 46, Instituto Mexicano del Seguro Social (IMSS), Villahermosa 86060, Mexico.

Sela Esther Juárez-Rojop,
Centro de Investigación, División Académica de Ciencias de la Salud (DACS), Universidad Juárez Autónoma de Tabasco (UJAT), Villahermosa 86150, Mexico.

Carlos Alfonso Tovilla-Zárate,
División Académica Multidisciplinaria de Comalcalco (DAMC), Universidad Juárez Autónoma de Tabasco (UJAT), Comalcalco 86650, Mexico.

Mirian Carolina Martínez-López,
Centro de Investigación, División Académica de Ciencias de la Salud (DACS), Universidad Juárez Autónoma de Tabasco (UJAT), Villahermosa 86150, Mexico.

José D. Méndez,
Hospital de Cardiología, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social (IMSS), Ciudad de México 06703, Mexico.

Please see the link here: https://stm.bookpi.org/CODHR-V5/article/view/8435

Effects of Banana Starch on Glycemic Response in Obese and Lean Subjects | Chapter 1 | Current Overview on Disease and Health Research Vol. 5

 Former studies have shown the salutary goods of habitual native banana bounce supplementation. In this study, the goods of acute ingestion of native banana bounce on glycemic biographies by means of nonstop glucose monitoring in fat and spare subjects was examined. All actors consumed potables containing either38.3 g of native banana bounce or38.3 g of digestible sludge bounce doubly daily for 4 days. On day 5, a 3- h mess forbearance test was performed to estimate glucose and insulin responses. After 1 week of flop period, treatments were reversed. Native banana bounce supplementation reduced the 48- h glycemia area under the wind in spare, fat, and in the combined group of spare and fat subjects in comparison with digestible sludge bounce. Postprandial glucose and insulin responses at mess forbearance test were reduced after native banana bounce in comparison with digestible sludge bounce in all groups. still, no changes were observed in glycemic variability indicators between groups. In conclusion, acute native banana bounce supplementation bettered postprandial glucose and insulin responses in fat and spare subjects during 48 h of everyday life and at mess forbearance test. farther exploration to interpret the medium behind these changes is needed.


Author(s) Details:

Guadalupe Jiménez-Domínguez,
Endocrinology Department, General Hospital No. 46, Mexican Institute for Social Security, Villahermosa - 86060, Mexico.

Jorge L. Ble-Castillo,
Metabolic Diseases Lab, Research Center, Academic Division of Health Sciences, Juarez Autonomous University of Tabasco, Villahermosa - 86150, Mexico.

María A. Aparicio-Trápala,
Academic Division of Agricultural Sciences, Juarez Autonomous University of Tabasco, Villahermosa - 86280, Mexico.

Isela E. Juárez-Rojop,
Metabolic Diseases Lab, Research Center, Academic Division of Health Sciences, Juarez Autonomous University of Tabasco, Villahermosa - 86150, Mexico.

Carlos A. Tovilla-Zárate,
Multidisciplinary Academic Division of Comalcalco, Comalcalco - 86650, Mexico.

Deysi J. Ble-Castillo,
Scool of Medicine, Montemorelos University, Montemorelos - 67530 Mexico.

Carlos García-Vázquez,
Metabolic Diseases Lab, Research Center, Academic Division of Health Sciences, Juarez Autonomous University of Tabasco, Villahermosa - 86150, Mexico.

Viridiana Olvera-Hernández,
Metabolic Diseases Lab, Research Center, Academic Division of Health Sciences, Juarez Autonomous University of Tabasco, Villahermosa - 86150, Mexico.

Bedelia Pérez-Pimienta,
Rodolfo Nieto Padrón Children’s Hospital, Secretaria de Salud, Villahermosa - 86150, Mexico.

Juan C. Diaz-Zagoya,
Metabolic Diseases Lab, Research Center, Academic Division of Health Sciences, Juarez Autonomous University of Tabasco, Villahermosa - 86150, Mexico.

José D. Méndez,
Medical Research Unit in Metabolic Diseases. Cardiology Hospital. National Medical Center, Mexican Institute of Social Security. México City, México.

Please see the link here: https://stm.bookpi.org/CODHR-V5/article/view/8434

Monday, 16 August 2021

Study on Ademolus Hypoglycemic Index | Chapter 15 | Highlights on Medicine and Medical Science Vol. 17

 The ADEMOLUS HYPOGLYCEMIC INDEX (AHI) is proposed in this article as a mathematical depiction of a hypoglycemic event over a three-month period in a patient with recurrent hypoglycemia.


Methodology: A retrospective examination of 65 hypoglycemia episodes (HE) in six randomly selected diabetes mellitus patients from 86 case files examined at the Lagos State University Teaching Hospital in Ikeja, Lagos, Nigeria.

To detect hypoglycemia, the data was analysed using the Ademolus Hypoglycemia Classification and the 2018 ADA/EASD Hypoglycemia Classification. To calculate AHI from HE, the given mathematical formula was employed. SPSS version 23 was used to analyse the data.

Results: In six diabetic individuals, the ADEMOLUS Hypoglycemia INDEX was employed to analyse 65 hypoglycemic episodes. Over the course of three months, each of the six people had a series of hypoglycemic episodes. Patient 1 had an AHI of 0.53, according to both the ACH and the ADA/EASD classifications.Patient 1 had an AHI that was not in the severe range. In patient 3, her AHI was 0.60 in the fourth quarter of 2016, zero in the first quarter of 2017, and then 0.64 in June, July, and August 2017. It would be prudent to investigate the aetiological causes in this diabetic patient with chronic kidney disease who suffers recurrent hypoglycemia, as it was six months ago, at this point in the patient's care. The formula can be programmed or automated into a device such as a calculator, or a web-based ADEMOLUS HYPOGLYCEMIC INDEX calculator can be created.

Conclusion: The Ademolus Hypoglycemic Index (AHI) can help diabetic and non-diabetic patients track chronic or long-term recurring HE.

Author (S) Details

Adegbenga B. Ademolu
Department of Medicine, Lagos State University Teaching Hospital, Nigeria.

View Book :- https://stm.bookpi.org/HMMS-V17/article/view/2618

Monday, 9 August 2021

A Review of Gestational Diabetes Mellitus and Ademolus Classification of Hypogly| Chapter 5| Highlights on Medicine and Medical Science Vol. 11

Hyperglycemia found at any stage during pregnancy should be classed as diabetes mellitus in pregnancy or gestational diabetes mellitus, according to the World Health Organization. Women with diabetes and women with intermediate hyperglycemia, impaired glucose tolerance (IGT), and impaired fasting glycemia (IFG) as described in non-pregnant individuals are included in current definitions of gestational diabetes. The use of insulin in gestational diabetes mellitus is recommended at a category B level, whereas the use of an oral hypoglycemic medication is recommended at a category C level. The risk of hypoglycemia in both the mother and the foetus is the same regardless of whether glucose lowering drug is taken, whether injectable or oral. This feature is what makes the Ademolus Classification of Hypoglycaemia (ACH) a useful tool in evaluating hypoglycemia complicating the management of gestational diabetes mellitus. It's worth noting that outcomes from research on maternal hypoglycemia varied, owing in part to discrepancies in hypoglycemia definitions. This is one of the knowledge gaps and disputes that Ademolus Classification of Hypoglycemia in Gestational Diabetes Mellitus Management Complication will help to address. It will assist to unify the concept of hypoglycemia regardless of race and allow for objective data comparison. ACH will make continuous glucose monitoring interpretation easier. The more we use ACH, the more we will notice gaps in our existing knowledge, gain insight into hypoglycemia complicating gestational diabetes mellitus, and become more scientifically knowledgeable, as it will open up a new path of scientific understanding of fetomaternal pathophysiology for the benefit of mankind.

Author (s) Details

Dr. Adegbenga B. Ademolu
Medicine Department, Lagos State University Teaching Hospital, Lagos, Nigeria.

View Book :- https://stm.bookpi.org/HMMS-V11/article/view/2498