Platelet/High-Density Lipoprotein Ratio (PHR) Predicts Type 2 Diabetes in Obese Patients: A Retrospective Study
-
Published:2024-08-03
Issue:15
Volume:12
Page:1540
-
ISSN:2227-9032
-
Container-title:Healthcare
-
language:en
-
Short-container-title:Healthcare
Author:
Alshuweishi Yazeed1ORCID, Abudawood Arwa2ORCID, Alfayez Dalal2ORCID, Almufarrih Abdulmalik A.2ORCID, Alanazi Fuad1ORCID, Alshuweishi Fahd A.3ORCID, Almuqrin Abdulaziz M.1ORCID
Affiliation:
1. Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 12372, Saudi Arabia 2. Department of Family and Community Medicine, Prince Sultan Military Medical City, Riyadh 11159, Saudi Arabia 3. King Fahad Kidney Center, King Saud Medical City, Riyadh 12746, Saudi Arabia
Abstract
Background: Obesity and type 2 diabetes (T2D) pose global health problems that continue to rise. A chronic low-grade inflammation and activation of the immune system are well established in both conditions. The presence of these factors can predict disease development and progression. Emerging evidence suggests that platelet–high density lipoprotein ratio (PHR) is a potential inflammatory marker. The purpose of this study was to investigate the relationship between PHR and T2D among obese patients. Methods: 203 patients with BMI ≥ 30 kg/m2 participated in the study. Patients were categorized into two groups: non-diabetic obese and diabetic obese. Comorbidities, baseline characteristics, laboratory data, as well as PHR levels of the study groups were analyzed. Medians, risk assessment, and the diagnostic performance of PHR values were examined in both groups. Results: In obese patients, the median PHR were significantly increased in obese patients with T2D compared to non-diabetic obese (p < 0.0001). Furthermore, T2D obese with high PHR had a significantly higher FBG and HbA1c (p < 0.05). Although PHR was weakly yet significantly correlated with glycemic markers, ROC curve analysis of the PHR indicated an AUC of 0.700 (p < 0.0001) in predicting T2D in obese patients, and the cutoff value was 6.96, with a sensitivity and specificity of 53.4% and 76.1%, respectively. Moreover, increased PHR (OR = 4.77, p < 0.0001) carried a significantly higher risk for developing T2D in obese individuals. Conclusions: The PHR is a convenient and cost-effective marker that can reliably predict the presence of T2D in high-risk obese population.
Funder
King Saud University, Riyadh, Saudi Arabia
Reference65 articles.
1. A Review of Prevalence of Obesity in Saudi Arabia;Alqarni;J. Obes. Eat. Disord.,2016 2. Althumiri, N.A., Basyouni, M.H., AlMousa, N., AlJuwaysim, M.F., Almubark, R.A., BinDhim, N.F., Alkhamaali, Z., and Alqahtani, S.A. (2021). Obesity in Saudi Arabia in 2020: Prevalence, Distribution, and Its Current Association with Various Health Conditions. Healthcare, 9. 3. Prevalence, risk factors, and interventions for obesity in Saudi Arabia: A systematic review;Salem;Obes. Rev.,2022 4. Malkin, J.D., Baid, D., Alsukait, R.F., Alghaith, T., Alluhidan, M., Alabdulkarim, H., Altowaijri, A., Almalki, Z.S., Herbst, C.H., and Finkelstein, E.A. (2022). The economic burden of overweight and obesity in Saudi Arabia. PLoS ONE, 17. 5. Ruze, R., Liu, T., Zou, X., Song, J., Chen, Y., Xu, R., Yin, X., and Xu, Q. (2023). Obesity and type 2 diabetes mellitus: Connections in epidemiology, pathogenesis, and treatments. Front. Endocrinol., 14.
|
|