This document discusses a study that examined the effect of a ketogenic diet on HbA1c levels in patients with type 2 diabetes. Seven studies were identified that met criteria for inclusion. All studies found a decrease in HbA1c levels with the ketogenic diet. Four studies found these decreases to be statistically significant. The ketogenic diet also resulted in weight loss and reduced use of diabetes medications. While the studies had small sample sizes and some limitations, the findings suggest that a ketogenic diet may improve glycemic control in patients with type 2 diabetes. Larger and more rigorous studies are still needed.
study of compliance of diabetic patients to prescribed mediationTehreemRashid
This research comprises of data which depicts the prevalence of adherence to medication by diabetic patients and different factors that affect their compliance
Slides to Guide Reducing Cardiovascular Risk in Type 2 Diabetes: What I Do an...hivlifeinfo
Slides to Guide Reducing Cardiovascular Risk in Type 2 Diabetes: What I Do and Why.2018
Zachary T. Bloomgarden, MD, MACE
Program Director
Mikhail N. Kosiborod, MD
Pamela Kushner, MD, FAAFP
Format: Microsoft PowerPoint (.ppt)
File Size: 923 KB
Released: June 29, 2018
Recently, several novel glucose-lowering targets have had drugs developed. This has resulted in several new drugs that have been approved for the local market to treat hyperglycaemia in patients with type 2 diabetes.
This presentation will attempt to provide:
A concise summary of these drugs for an Intensive Care Physician.
A pragmatic framework for what the non-Endocrinology Doctor should do with these drugs whilst the patient is in, and being discharged from, the Intensive Care Unit.
An outline of current trials evaluating glycaemia in the Intensive Care Unit.
Novel Approach Of Diabetes Disease Classification By Support Vector Machine W...IJARIIT
Early diagnosis of any disease with less cost is always preferable. Diabetes is one such disease. It has become the fourth leading cause of death in developed countries and is also reaching epidemic proportions in many developing and newly industrialized nations. Diabetes leads to increase in the risks of developing kidney disease, blindness, nerve damage, blood vessel damage and heart disease also. In this study, we investigate an automatic approach to diagnose Diabetes disease based on Bacterial Foraging Optimization and Artificial Neural Network .firstly, we applied Bacterial Foraging Optimization for features selection and then we implement artificial neural network for finding out the classification accuracy. The proposed SVM method obtains 87.23% accuracy on UCI diabetes dataset which is better than other models.
Secondly, we applied again Bacterial foraging optimization for features selection and then we applied support vector machine for finding out the classification accuracy .The proposed Correlation with SVM method obtains on UCI dataset.
Team as Treatment: Driving Improvement in DiabetesCHC Connecticut
NCA Clinical Workforce Development, Team-Based Care 2019 Webinar Series
Webinar broadcast on: June 11, 2019 | 3 p.m. EST
This webinar will share evidence-based models that will provide a framework for health centers to optimize the team in primary care. Experts will describe how utilization of extended team members and technology can reduce gaps in care for prediabetics and diabetics. With a focus on lifestyle and community based projects, this webinar will highlight the strategies and resources to improve the health and behaviors of patients at risk for diabetes and manage uncontrolled diabetes. Through early detection and providing diabetes management through a team-based care, health centers can help patients’ live long, healthy lives.
study of compliance of diabetic patients to prescribed mediationTehreemRashid
This research comprises of data which depicts the prevalence of adherence to medication by diabetic patients and different factors that affect their compliance
Slides to Guide Reducing Cardiovascular Risk in Type 2 Diabetes: What I Do an...hivlifeinfo
Slides to Guide Reducing Cardiovascular Risk in Type 2 Diabetes: What I Do and Why.2018
Zachary T. Bloomgarden, MD, MACE
Program Director
Mikhail N. Kosiborod, MD
Pamela Kushner, MD, FAAFP
Format: Microsoft PowerPoint (.ppt)
File Size: 923 KB
Released: June 29, 2018
Recently, several novel glucose-lowering targets have had drugs developed. This has resulted in several new drugs that have been approved for the local market to treat hyperglycaemia in patients with type 2 diabetes.
This presentation will attempt to provide:
A concise summary of these drugs for an Intensive Care Physician.
A pragmatic framework for what the non-Endocrinology Doctor should do with these drugs whilst the patient is in, and being discharged from, the Intensive Care Unit.
An outline of current trials evaluating glycaemia in the Intensive Care Unit.
Novel Approach Of Diabetes Disease Classification By Support Vector Machine W...IJARIIT
Early diagnosis of any disease with less cost is always preferable. Diabetes is one such disease. It has become the fourth leading cause of death in developed countries and is also reaching epidemic proportions in many developing and newly industrialized nations. Diabetes leads to increase in the risks of developing kidney disease, blindness, nerve damage, blood vessel damage and heart disease also. In this study, we investigate an automatic approach to diagnose Diabetes disease based on Bacterial Foraging Optimization and Artificial Neural Network .firstly, we applied Bacterial Foraging Optimization for features selection and then we implement artificial neural network for finding out the classification accuracy. The proposed SVM method obtains 87.23% accuracy on UCI diabetes dataset which is better than other models.
Secondly, we applied again Bacterial foraging optimization for features selection and then we applied support vector machine for finding out the classification accuracy .The proposed Correlation with SVM method obtains on UCI dataset.
Team as Treatment: Driving Improvement in DiabetesCHC Connecticut
NCA Clinical Workforce Development, Team-Based Care 2019 Webinar Series
Webinar broadcast on: June 11, 2019 | 3 p.m. EST
This webinar will share evidence-based models that will provide a framework for health centers to optimize the team in primary care. Experts will describe how utilization of extended team members and technology can reduce gaps in care for prediabetics and diabetics. With a focus on lifestyle and community based projects, this webinar will highlight the strategies and resources to improve the health and behaviors of patients at risk for diabetes and manage uncontrolled diabetes. Through early detection and providing diabetes management through a team-based care, health centers can help patients’ live long, healthy lives.
What Spine Surgeons Need to Know About Dietary Strategies for Heart Disease a...James McCarter
Presentation to the North American Spine Society Annual Meeting. Interdisciplinary Spine Forum: Obesity and Diabetes: Impact on the Spine and Evidence-Based Management Strategies. Organized by Dr. Carrie Diulus
Diabetes and obesity have reached epidemic proportion. It is imperative that spine providers take these factors into consideration. We also have the opportunity to be powerful motivators to our patients with some straight forward evidence-based strategies.
Upon completion of this session, participants should gain strategies to:
Understand impact of metabolic syndrome on spine conditions/degeneration and treatment outcomes
Learn dietary strategies to have a positive impact on these conditions and the most current science behind these recommendations
Understanding the impact of strategies on heart disease and lipids
How to implement recommendations in a busy clinical setting
A correlation study to determine the effect of diabetes self management on di...Kurt Naugles M.D., M.P.H.
Self-Management in this presentation refers to those activities people undertake in an effort to promote health, prevent disease, limit illness, and restore well being. Several investigators contend that self-management be made a major component of many patient health-care strategy (Glasgow, et al., 2001; Wagner, et al., 2001). Currently, nearly 125 million Americans suffer from chronic debilitating illnesses (Anderson, 2000). These national figures clearly underscore the need to develop a multidimensional approach in regards to disease management. Accordingly, measures that incorporate the patient’s perspective in managing his or her health should be explored.
Diabetes mellitus is among those conditions suspected to be highly influenced by self-management activities (Sprangers, et. al., 2000). If benefits do indeed exist, they need to be fully evidenced. The investigation presented here sought to examine the role self management plays in the health outcomes of individuals living with diabetes.
Data Driven is just the beginning, why the details of evidence matter by Dr. ...James McCarter
At Virta Health, our values include being evidence-based and prioritizing data and science over opinion in our decision-making. But how does this apply to the data we provide employers? Here are three questions we think employers should be asking healthcare providers and vendors offering health solutions to make smarter data-driven decisions (and some examples of vendor data that doesn’t stand up to scrutiny).
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- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
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Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
New Drug Discovery and Development .....NEHA GUPTA
The "New Drug Discovery and Development" process involves the identification, design, testing, and manufacturing of novel pharmaceutical compounds with the aim of introducing new and improved treatments for various medical conditions. This comprehensive endeavor encompasses various stages, including target identification, preclinical studies, clinical trials, regulatory approval, and post-market surveillance. It involves multidisciplinary collaboration among scientists, researchers, clinicians, regulatory experts, and pharmaceutical companies to bring innovative therapies to market and address unmet medical needs.
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
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Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...
Keto and DM2
1. THE EFFECT OF NUTRITIONAL KETOSIS ON HBA1C
IN PATIENTS WITH TYPE 2 DIABETES
Jillian Messina, BSN, RN, CCRN
University of Texas Houston Health Science Center
2. TYPE 2 DIABETES: A MODERN EPIDEMIC
➤ Hyperglycemia
➤ Due to insulin resistance and decreased insulin production
➤ ~9.4% of population in U.S. have DM
• 90-95% of those have type 2 DM
➤ 7th leading cause of death in U.S.
➤ Estimated annual cost to U.S.: $327 billion
(ADA, 2018b; ADA, 2019; CDC, 2017a)
3. COMPLICATIONS OF DIABETES
➤ Microvascular
• Nephropathy
• Neuropathy
• Retinopathy
➤ Macrovascular
• Atherosclerotic cardiovascular disease/Coronary
artery disease (CAD)
• Cerebral vascular attack (CVA)
(CDC, 2014; Fowler, 2008; Healthy People
2020, 2014; National Eye Institute, 2015)
4. CURRENT STANDARDS OF CARE
➤ 1st line pharmacologic agent: Metformin
➤ Other medications selected by co-morbidities
➤ Lifestyle modifications:
• Diabetes self-management education and support
(DSMES)
• Medical nutrition therapy (MNT)
• Physical activity
• Smoking cessation
• Psychosocial care
(ADA, 2018a)
5. MEDICAL NUTRITION THERAPY (MNT)
Current dietary advice from the ADA includes:
➤ Individualized diets with consideration to
• Current eating patterns
• Personal preferences (i.e. tradition, culture,
religion, health beliefs and goals, economics)
• Goals for weight loss and glycemic control
➤ Mediterranean diet
➤ Dietary approaches to stop hypertension (DASH) diet
➤ Plate method
(ADA, 2018a)
6. WHAT IS A KETOGENIC DIET?
Daily Caloric Intake
70%
20%
10%
Carbohydrates
Protein
Fat
7. WHY KETO?
➤ Quick and effective weight loss
➤ Established therapeutic uses:
• Epilepsy
➤ Current areas of research for application:
• Cancer
• Metabolic syndrome, PCOS
• Obesity management (Alder, Caplin, Filloux, Henderson & Lyon, 2006;
Bueno, de Rocha Ataide, de Melo & de Oliveira, 2013;
Gibas & Gibas, 2017; Masood & Uppaluri, 2019)
8. THE RESEARCH QUESTION…
➤What is the effect of nutritional
ketosis on HbA1c in patients
with type 2 diabetes mellitus?
9. THEORETICAL FRAMEWORK
Natural History of Disease
➤ Preclinical phase
➤ Clinical phase
➤ Levels of prevention:
• Primary
• Secondary
• Tertiary
(Sahoo, 2014)
10. VARIABLES
➤ Independent: ketogenic diet
➤ Dependent: HbA1c
➤ Controls: Diagnosis of T2DM, measurement of urinary
ketones to confirm state of ketosis
11. SEARCH METHODS
➤ Databases
• Ovid Medline
• Cumulative Index to Nursing and Allied Health Literature (CINAHL)
• Embase
➤ Titles, abstracts, keywords and database subject headings
➤ Terms
➤ Ketogenic diet: ketosis, keto and diet within 3 words, vlcld (very low
carbohydrate ketogenic diet), very low carb within 3 words of diet
➤ HbA1c: glycated hemoglobin A, hba1c, hgba1c, hemoglobin a1c,
haemoglobin a1c, glycosylated/glycated within 3 words of hemoglobin/
haemoglobin
➤ Type 2 diabetes: diabetes mellitus type 2, diabetes within 3 words of type
2/type two/type ii/noninsulin dependent, niddm
12. SEARCH METHODS (CONTINUED)
➤ Boolean operators
• “OR” between each of the various expressions of the 3
terms
➤ Truncations used
• Keto*
• Diabet*
➤ Limits
• Published in English
• Human subjects
13. RESULTS OF SEARCH
Figure 1. PRISMA flow chart illustrating the retrieval and evaluation of research that resulted from
database searches (2015).
14. CHARACTERISTICS OF THE STUDIES
7 studies included
➤ Types
• 4/7 were RCTs
• Others: uncontrolled single arm studies & case series
➤ Publish dates: 2005-2019
➤ Sample sizes: 2-262 participants
• Mean n=77
➤ Duration: 10-52 weeks
➤ Locations:
• United States (4)
• Canada
• Israel
• Spain
15. FINDINGS
➤ Decrease in HbA1c in ALL studies
➤ Statistically significant in 4/7 studies (p=0.009-0.03)
➤ Weight loss
➤ Reduction in use of anti-diabetic agents
16. WHAT DO THE FINDINGS MEAN?
➤Improved glycemic control
17. WEAKNESSES
➤ Small sample sizes
➤ Lack of certain controls
• Anti-diabetic medications
STRENGTHS
➤ Unanimous improvement in
glycemic control
➤ Multiple RCTs included
➤ Recent data
18. IMPLICATIONS OF THE STUDY
On clinical practice
➤ Ketogenic diet as therapeutic management of type 2
diabetes
• Improved glycemic control
• Reduction in polypharmacy
• Cost-effective compared to expensive
medications such as insulin and sglt2 inhibitors
On research
➤ Need for large RCT
➤ Further investigation of long-term safety
19. CONCLUSIONS
➤ Ketogenic diet may be a viable low-cost effective option
➤ Attractiveness to patients includes
• Not calorie restrictive
• Produces quick results
• Biofeedback through measurement of urinary ketones
serves as motivation
• Alternative to polypharmacy and subcutaneous routes of
administration
• Also produces weight loss
➤ Might be great short-term method for achieving glycemic target
21. REFERENCES
Alder, S., Caplin, D., Filloux, F., Henderson, C., & Lyon, J. (2006). Efficacy of the ketogenic diet as a treatment option for epilepsy: meta-analysis. Journal of Child Neurology,
21(3), 193-198. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/16901419
Bueno, N., da Rocha Ataide, T., de Melo, I., & de Oliveira, S. (2013). Very-low-carbohydrate ketogenic diet v. low-fat diet for long-term weight loss: a meta-analysis of
randomized controlled trials. British Journal of Nutrition, 110(7), 1178-1187. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/23651522
American Diabetes Association. (2018a) . Standards of medical care in diabetes—2019: abridged for primary care providers. Retrieved from https://clinical.diabetes-
journals.org/content/diaclin/early/2018/12/16/cd18-0105.full.pdf
American Diabetes Association. (2018b). The cost of diabetes. Advocacy. Retrieved from http://www.diabetes.org/advocacy/news-events/cost-of-diabetes.html
American Diabetes Association. (2019). Standards of medical care in diabetes—2019. The Journal of Clinical and Applied Research and Education: Diabetes Care, 42(1).
Retrieved from http://care.diabetesjournals.org/content/42/Supplement_1
Centers for Disease Control. (2017a). National Diabetes Statistics Report, 2017: Estimates of diabetes and its burden in the United States. National Center for Chronic Disease
Prevention and Health Promotion. Retrieved from https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf
Centers for Disease Control. (2014). National diabetes statistics report, 2014. National Center for Chronic Disease Prevention and Health Promotion. Retrieved from https://
www.cdc.gov/diabetes/pdfs/data/2014-report-estimates-of-diabetes-and-its-burden-in-the-unitedstates.pdf
Fowler, M. J. (2008). Microvascular and macrovascular complications of diabetes. Clinical Diabetes, 26(2), 77-82. Retrieved from http://clinical.diabetesjournals.org/content/
26/2/77.full
Gibas, K. J., & Gibas, M. K. (2017). Induced and controlled dietary ketosis as a regulator of obesity and metabolic syndrome pathologies. Diabetes & Metabolic Syndrome:
Research & Reviews, 11(1), S385-S390. Retrieved from https://www.sciencedirect.com/science/article/pii/S1871402116303137#bib0015
Healthy People 2020. (2014). Diabetes. Retrieved from https://www.healthypeople.gov/2020/topics-objectives/topic/diabetes
Masood, W., & Uppaluri, K. (2019). Ketogenic diet. StatPearls. Retrieved from https://www.ncbi.nlm.nih.gov/books/NBK499830/
National Eye Institute. (2015). Facts about diabetic eye disease. National Institutes of Health. Retrieved from https://nei.nih.gov/health/diabetic/retinopathy
PRISMA. (2015). PRISMA flow diagram. Retrieved from http://prisma-statement.org/
Sahoo, S. S. (2014). Natural History of Disease [PowerPoint slides]. Retrieved from Linkedin SlideShare: https://www.slideshare.net/drswaroopsoumya/natural-history-
ofdisease-35398316