» Articles » PMID: 29712560

Cardiovascular Disease Risk Factor Responses to a Type 2 Diabetes Care Model Including Nutritional Ketosis Induced by Sustained Carbohydrate Restriction at 1 year: an Open Label, Non-randomized, Controlled Study

Overview
Publisher Biomed Central
Date 2018 May 2
PMID 29712560
Citations 86
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Cardiovascular disease (CVD) is a leading cause of death among adults with type 2 diabetes mellitus (T2D). We recently reported that glycemic control in patients with T2D can be significantly improved through a continuous care intervention (CCI) including nutritional ketosis. The purpose of this study was to examine CVD risk factors in this cohort.

Methods: We investigated CVD risk factors in patients with T2D who participated in a 1 year open label, non-randomized, controlled study. The CCI group (n = 262) received treatment from a health coach and medical provider. A usual care (UC) group (n = 87) was independently recruited to track customary T2D progression. Circulating biomarkers of cholesterol metabolism and inflammation, blood pressure (BP), carotid intima media thickness (cIMT), multi-factorial risk scores and medication use were examined. A significance level of P < 0.0019 ensured two-tailed significance at the 5% level when Bonferroni adjusted for multiple comparisons.

Results: The CCI group consisted of 262 participants (baseline mean (SD): age 54 (8) year, BMI 40.4 (8.8) kg m). Intention-to-treat analysis (% change) revealed the following at 1-year: total LDL-particles (LDL-P) (- 4.9%, P = 0.02), small LDL-P (- 20.8%, P = 1.2 × 10), LDL-P size (+ 1.1%, P = 6.0 × 10), ApoB (- 1.6%, P = 0.37), ApoA1 (+ 9.8%, P < 10), ApoB/ApoA1 ratio (- 9.5%, P = 1.9 × 10), triglyceride/HDL-C ratio (- 29.1%, P < 10), large VLDL-P (- 38.9%, P = 4.2 × 10), and LDL-C (+ 9.9%, P = 4.9 × 10). Additional effects were reductions in blood pressure, high sensitivity C-reactive protein, and white blood cell count (all P < 1 × 10) while cIMT was unchanged. The 10-year atherosclerotic cardiovascular disease (ASCVD) risk score decreased - 11.9% (P = 4.9 × 10). Antihypertensive medication use was discontinued in 11.4% of CCI participants (P = 5.3 × 10). The UC group of 87 participants [baseline mean (SD): age 52 (10) year, BMI 36.7 (7.2) kg m] showed no significant changes. After adjusting for baseline differences when comparing CCI and UC groups, significant improvements for the CCI group included small LDL-P, ApoA1, triglyceride/HDL-C ratio, HDL-C, hsCRP, and LP-IR score in addition to other biomarkers that were previously reported. The CCI group showed a greater rise in LDL-C.

Conclusions: A continuous care treatment including nutritional ketosis in patients with T2D improved most biomarkers of CVD risk after 1 year. The increase in LDL-cholesterol appeared limited to the large LDL subfraction. LDL particle size increased, total LDL-P and ApoB were unchanged, and inflammation and blood pressure decreased. Trial registration Clinicaltrials.gov: NCT02519309. Registered 10 August 2015.

Citing Articles

Ketogenic diets in clinical psychology: examining the evidence and implications for practice.

Laurent N, Bellamy E, Hristova D, Houston A Front Psychol. 2024; 15:1468894.

PMID: 39391844 PMC: 11464436. DOI: 10.3389/fpsyg.2024.1468894.


Maternal Dietary Strategies for Improving Offspring Cardiovascular-Kidney-Metabolic Health: A Scoping Review.

Tain Y, Hsu C Int J Mol Sci. 2024; 25(18).

PMID: 39337276 PMC: 11432268. DOI: 10.3390/ijms25189788.


Metabolic Choreography of Energy Substrates During DCD Heart Perfusion.

Trimigno A, Zhao J, Michaud W, Paneitz D, Chukwudi C, DAlessandro D Transplant Direct. 2024; 10(9):e1704.

PMID: 39220220 PMC: 11365673. DOI: 10.1097/TXD.0000000000001704.


Inverse relationship between LDL-C/HDL-C ratio and atrial fibrillation in chronic kidney disease patients.

Guan M, Hu H, Qi D, Qin X, Wan Q Sci Rep. 2024; 14(1):17721.

PMID: 39085307 PMC: 11291658. DOI: 10.1038/s41598-024-67100-y.


Impact of very low carbohydrate ketogenic diets on cardiovascular risk factors among patients with type 2 diabetes; GRADE-assessed systematic review and meta-analysis of clinical trials.

Ghasemi P, Jafari M, Jafari Maskouni S, Hosseini S, Amiri R, Hejazi J Nutr Metab (Lond). 2024; 21(1):50.

PMID: 39030553 PMC: 11264514. DOI: 10.1186/s12986-024-00824-w.


References
1.
Shalaurova I, Connelly M, Garvey W, Otvos J . Lipoprotein insulin resistance index: a lipoprotein particle-derived measure of insulin resistance. Metab Syndr Relat Disord. 2014; 12(8):422-9. PMC: 4175429. DOI: 10.1089/met.2014.0050. View

2.
Mertz W, Tsui J, Judd J, Reiser S, Hallfrisch J, Morris E . What are people really eating? The relation between energy intake derived from estimated diet records and intake determined to maintain body weight. Am J Clin Nutr. 1991; 54(2):291-5. DOI: 10.1093/ajcn/54.2.291. View

3.
Volek J, Fernandez M, Feinman R, Phinney S . Dietary carbohydrate restriction induces a unique metabolic state positively affecting atherogenic dyslipidemia, fatty acid partitioning, and metabolic syndrome. Prog Lipid Res. 2008; 47(5):307-18. DOI: 10.1016/j.plipres.2008.02.003. View

4.
Libby P, Ridker P, Hansson G . Inflammation in atherosclerosis: from pathophysiology to practice. J Am Coll Cardiol. 2009; 54(23):2129-38. PMC: 2834169. DOI: 10.1016/j.jacc.2009.09.009. View

5.
. Secondary prevention by raising HDL cholesterol and reducing triglycerides in patients with coronary artery disease. Circulation. 2000; 102(1):21-7. DOI: 10.1161/01.cir.102.1.21. View