Comparison of Binary Regression Models for the Outcome of Pediatric Liver Transplantation

Bisphosphonates are a group of drugs that are widely used in the treatment of osteoclast-mediated diseases related to bone loss. Since 2003 the problem of bisphosphonate-associated osteonecrosis of the jaws (BAONJ) has been raised, and many authors have published the cases they have observed. BAONJ is a multifactorial disease, and the risk factors for the development of the disease can be divided into those related to bisphosphonate therapy, local risk factors, demographic and systemic factors, genetic factors and preventive factors. The aim of the present study is to determine the effect of the duration of bisphosphonate (BF) intake and the period of time from the surgical intervention (TPSI) on the outcome of BAONJ treatment using logistic regression. The obtained models allow to estimate the predicted probability of the occurrence of this complication. The models were based on experimental data from 44 patients who received medical and diagnostic care in the University Hospital "St. Anna" -Sofia, as well as patients treated in an outpatient setting in the Dental Medicine Faculty -Sofia, Bulgaria.

Section: Logistic Regression Modelmentioning

confidence: 99%

Prediction of Bisphosphonate-Associated Osteonecrosis of the Jaws in Bulgarian Patients Using Logistic Regression

Ilieva,

Prodanova,

Sveshtarov

2024

“…Mathematical models have great potentialities as regards their utility in different disciplines of medicine and health, [9,10,11]. In this study the regression model is used to relate a categorical response (dependent variable Y ) to the explanatory variables (predictors) x i , (i = 1, ..., c).…”

Section: Dichotomous Response Mmodels Logistic Regression Modelmentioning

confidence: 99%

Predictive Factors for Complications in Patients With Diabetes Mellitus

Pashkunova¹

2022

A prospective study of the relationship between some clinical parameters and complications of the patients with diabetes is considered. About 200 patients (male and female) have been examined. The patients are classified into five groups subject to the type of the diabetes. The data obtained for each patient are related to the type of the complications -macro vascular, retina pathology, neuron pathology and nephrite pathology and 12 clinical parameters.A mathematical model is build on the patients' data. A logistic regression to identify which factors are associated with the complications is performed. The software package used for statistical modeling of real data is STATISTICA 13.

“…Mathematical models have great potentialities as regards their utility in different disciplines of medicine and health [16,17]. Mathematical concept, called the Hardy-Weinberg equilibrium model or principle (HWP), is a crucial concept in population genetics, [10,11].…”

Section: Hardy-weinberg Equilibrium Modelmentioning

confidence: 99%

The Predictive Role of Genetic Markers in the Different Types Diabetes -- Related Complications

Pashkunova¹

2022

We apply a Hardy-Weinberg mathematical equilibrium model for a prospective study of the comparison of genetic markers Calpain, Leptin, MnSod, eNos, eNosGly, LPL and AC in 100 healthy persons (control group) and 200 diabetics patients classified into five groups. The association of the genetic markers and the different type of diabetes-related complications are studied.The associations between genetic markers and micro-and macrovascular complications were investigated for the first time for the population of diabetics in Bulgaria. The software package used for statistical modeling of real data is STATISTICA 13.