Introduction: The most objective way of evaluating metabolic control in diabetic patients is using reliable laboratory tests. The laboratory examinations show the effectiveness of the management and compliance. The aim of the study was to observe metabolic control in patients with type 2 diabetes mellitus with the use of routinely available laboratory tests.
Material And Methods: The laboratory study was performed on 50 patients with type 2 diabetes mellitus supervised by a diabetologist in a Specialistic Diabetic Outpatient Clinic. Biochemical parameters such as fasting glucose, random glucose, HbA(1c), lipids, creatinine, albuminuria were checked twice with average intervals between the examinations of 14 months.
Results: The results of the two examinations showed elevated average levels of fasting glucose, random glucose and HbA(1c). The values of lipid profile and albuminuria exceeded the Polish Diabetes Association targets. Only the average HDL-C concentration reached the target in both examinations. Among the examined patients only 14% achieved the targets for all the parameters while 4% showed no equalization of the parameters. Good glycemic control with HbA(1c) < 6.5% was obtained in 36% of the patients. Accepted glycemic control with HbA(1c) between 6.5% and 8% was observed in 38% of the patients. Poor glycemic control with HbA(1c) > 8% concerned 26% of the patients. Diabetic nephropathy was diagnosed in 24% of the patients.
Conclusions: The results of the study have proved that diabetes mellitus management is not effective and does not achieve the PDA targets. Consequently, it does not lead to good metabolic control and contributes to complications.
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Gac Med Mex
January 2025
Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Departamento de Bioquímica Clínica, Laboratorio de Lípidos y Aterosclerosis, Ciudad Autónoma de Buenos Aires.
Introduction: LDL-cholesterol greater than 190 mg/dL indicates severe hypercholesterolemia (HS) of monogenic and/or polygenic origin. Genetic risk scores (GRS) evaluate potential polygenic causes.
Objective: we applied a GRS of 6-SNP (GRS-6) in HS individuals.
Gac Med Mex
January 2025
División de Medicina Molecular, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social, Guadalajara.
Background: The usefulness of circulating free DNA (cfDNA), nuclear DNA (nDNA) and mitochondrial DNA (mtDNA) as potential biomarkers in cancer remains controversial.
Objective: To determine the concentration of cfDNA and plasma nDNA and mtDNA levels in breast cancer (BC) patients.
Material And Methods: This study included a total of 86 women (69 patients with BC and 17 women as a control group).
Gac Med Mex
January 2025
Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, United Kingdom.
FRAX, a risk calculator that provides individualized 10-year probabilities of hip and major osteoporotic fracture, has been widely used for fracture risk assessment since its launch in 2008. It is now incorporated into very many guidelines worldwide to inform osteoporosis management. In this review, we explore the development of FRAX and how it enhances fracture risk prediction as compared to use of bone mineral density alone, as well as approaches to utilizing FRAX in determining intervention and assessment thresholds.
View Article and Find Full Text PDFGac Med Mex
January 2025
Clínica de Hipertensión y Riesgo Cardiovascular, ISSSTESon, Hermosillo, Sonora. México.
Cardiovascular disease is the main cause of mortality in Mexico as well as the rest of the world, with dyslipidemia being one of the main risk factors. Despite the importance of its epidemiological impact, there is still -among primary care physicians- a lack of knowledge ranging from the basic concepts for diagnosis to the most recent recommendations for treatment. This document consisting of 10 questions is done by experts in this field.
View Article and Find Full Text PDFISME J
January 2025
HADAL & Nordcee, Department of Biology, University of Southern Denmark, Odense, Denmark.
Auxiliary metabolic genes encoded by bacteriophages can influence host metabolic function during infection. In temperate phages, auxiliary metabolic genes may increase host fitness when integrated as prophages into the host genome. However, little is known about the contribution of prophage-encoded auxiliary metabolic genes to host metabolic properties.
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