Prediction Models of Albumin Renal Excretion in Type 2 Diabetes Mellitus Patients

Popa, Amorin Remus; Pusta, Claudia Teodora Judea; Vesa, Cosmin Mihai; Bungău, Simona; Buhaş, Camelia Liana; Sava, Cristian; Dimulescu, Ioana Alina; Zaha, Dana Carmen; Bustea, Cristiana

doi:10.37358/rc.19.11.7650

Cited by 2 publications

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“…Many studies have researched the variables that influence the changes in HbA1c levels; for example, diabetes duration, cholesterol levels [ 24 ], treatment adherence, and BMI reduction [ 25 ], among others. In addition, medication compliance could be affected by diabetes complications [ 26 ]; further, complications such as diabetic neuropathy [ 27 ] and microalbuminuria [ 28 ] involve a higher HbA1c and need more intense treatment. Moreover, other variables are taken into account such as self-rated health [ 29 ], family support, age [ 30 ], and the decision making process [ 31 ].…”

Section: Discussionmentioning

confidence: 99%

Does the SDMQ-9 Predict Changes in HbA1c Levels? An Ecuadorian Cohort

et al. 2022

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Background and Objectives: Diabetes mellitus affects 422 million people around the world, positioning it as a major health problem. According to the WHO(World Health Organization), 90% corresponds to type 2. The shared-decision making (SDM) is a method used to facilitate patient control, medication, maintenance, and assessment of health status according to their priorities and preferences. With the application of SDM in patients with diabetes, it is expected there will be an increase in treatment adherence and a reduction in HbA1c levels. The aim of this study is to determine the predictors of the change in HbA1c. Material and Methods: A sample of 76 participants attending as endocrinology outpatients was obtained. Data collected within the sample included: sex, age, educational level, body mass index, and the level of SDM using the SDMQ-9. In addition, HbA1c levels were measured twice: at baseline and three months after the first measurement. Results: The linear regression indicates that the level of SDM is a significant predictor of the change in HbA1c, specifically in men. However, the direction of the relationship was a somewhat opposite trend than we expected. Higher levels of SDM imply an increase in HbA1c rather than a reduction. Conclusions: Contrary to the literature, our results shows that elevated levels of perceived SDM may be associated with worse diabetic control. However, more investigation is needed as these results are not generalizable, due to the specific population used and the sample size. Furthermore, to better understand the effect of SDM on the change in HbA1c in patients with poorly controlled diabetes.

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Section: Discussionmentioning

confidence: 99%

Does the SDMQ-9 Predict Changes in HbA1c Levels? An Ecuadorian Cohort

et al. 2022

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“…Proteinuria and microalbuminuria are used in the definition of CKD [37], being predictors of increased CVR. The association between decreased GFR and proteinuria in patients with pre-existing CAD increases the probability of developing MACE and cardiac deaths by three times [38].…”

Section: Proteinuria and Microalbuminuria-the Role Played In The Process Of Atherosclerosis In Ckdmentioning

confidence: 99%

Framing Cause-Effect Relationship of Acute Coronary Syndrome in Patients with Chronic Kidney Disease

et al. 2021

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The main causes of death in patients with chronic kidney disease (CKD) are of cardiovascular nature. The interaction between traditional cardiovascular risk factors (CVRF) and non-traditional risk factors (RF) triggers various complex pathophysiological mechanisms that will lead to accelerated atherosclerosis in the context of decreased renal function. In terms of mortality, CKD should be considered equivalent to ischemic coronary artery disease (CAD) and properly monitored. Vascular calcification, endothelial dysfunction, oxidative stress, anemia, and inflammatory syndrome represents the main uremic RF triggered by accumulation of the uremic toxins in CKD subjects. Proteinuria that appears due to kidney function decline may initiate an inflammatory status and alteration of the coagulation – fibrinolysis systems, favorizing acute coronary syndromes (ACS) occurrence. All these factors represent potential targets for future therapy that may improve CKD patient’s survival and prevention of CV events. Once installed, the CAD in CKD population is associated with negative outcome and increased mortality rate, that is the reason why discovering the complex pathophysiological connections between the two conditions and a proper control of the uremic RF are crucial and may represent the solutions for influencing the prognostic. Exclusion of CKD subjects from the important trials dealing with ACS and improper use of the therapeutical options because of the declined kidney functioned are issues that need to be surpassed. New ongoing trials with CKD subjects and platelets reactivity studies offers new perspectives for a better clinical approach and the expected results will clarify many aspects.

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Prediction Models of Albumin Renal Excretion in Type 2 Diabetes Mellitus Patients

Cited by 2 publications

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Does the SDMQ-9 Predict Changes in HbA1c Levels? An Ecuadorian Cohort

Does the SDMQ-9 Predict Changes in HbA1c Levels? An Ecuadorian Cohort

Framing Cause-Effect Relationship of Acute Coronary Syndrome in Patients with Chronic Kidney Disease

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