Clinical Outcomes of Patients with Chronic Myeloid Leukemia and COVID-19 Infection-A Single Center Survey.

Previous research has shown different effects of hematological malignancies on the outcome of patients with COVID-19 infection depending on the type of disease and the treatment received. This research was aimed at examining the clinical outcome of COVID-19 infection in positive patients with chronic myeloid leukemia treated with tyrosine kinase inhibitors. We collected retrospective information on chronic myeloid leukemia patients who were treated and monitored in our institution during the pandemic period.

Impact of quality of response on survival outcomes among multiple myeloma patients treated with novel agents - a retrospective analysis.

Background: In this era of target therapies, novel data on the correlation between response endpoints and survival outcomes in multiple myeloma have arisen.

Objective: To determine the impact of quality of response on clinical outcomes, using first-line treatment, and identify risk factors influencing progression-free survival (PFS) and overall survival (OS) among myeloma patients.

Design And Setting: Retrospective analysis on myeloma patients who were treated at the Clinic of Hematology and Clinical Immunology, University Clinical Centre, Niš, Serbia, over a four-year period.

Generic Imatinib in Chronic Myeloid Leukemia Treatment: Long-Term Follow-up.

Background: Similar to the application of other generic drugs, the use of generic imatinib in the treatment of chronic myeloid leukemia (CML) leads to significant cost savings, but it also raises issues related to efficacy, safety, and quality. This study assessed the long-term outcome of CML patients after administration of generic imatinib.

Patients And Methods: The cohort of 83 patients was divided into 2 groups depending on whether generic imatinib was applied in the front-line setting or after switching from original imatinib.

The significance of angiogenesis for predicting optimal therapeutic response in chronic myeloid leukaemia patients.

In this study the correlation and the prognostic value of the morphometric parameters of angiogenesis for optimal therapeutic response to tyrosine kinase inhibitor (TKI) therapy in patients with chronic myeloid leukaemia (CML), i.e. complete cytogenetic response (CCgR) and major molecular response (MMoR), were investigated.

Reproducibility of 24-h heart rate variability in children.

Background: Over the last decades, time domain heart rate (HR) variability analysis has been explored in different pediatric clinical settings to obtain information on the cardiac autonomic tone. However, the consistency over time of 24 h time domain HRV measurements in children is not well-known.

Methods: We investigated the reproducibility of 24 h HRV time-domain indices (1 day apart), from 39 healthy children (9.

Intelligent Flow Friction Estimation.

Nowadays, the Colebrook equation is used as a mostly accepted relation for the calculation of fluid flow friction factor. However, the Colebrook equation is implicit with respect to the friction factor (λ). In the present study, a noniterative approach using Artificial Neural Network (ANN) was developed to calculate the friction factor.

Artificial neural networks based early clinical prediction of mortality after spontaneous intracerebral hemorrhage.

Numerous outcome prediction models have been developed for mortality and functional outcome after spontaneous intracerebral haemorrhage (ICH). However, no outcome prediction model for ICH has considered the impact of care restriction. To develop and compare results of the artificial neural networks (ANN) and logistic regression (LR) models, based on initial clinical parameters, for prediction of mortality after spontaneous ICH.

Artificial neural networks based prediction of cerebral palsy in infants with central coordination disturbance.

Background: In a previous study we demonstrated that heart variability parameters (HRV) could be helpful clinically as well as a prognostic tool in infants with central coordination disturbance (CCD). In recent years, outcome predictions using artificial neural networks (ANN) have been developed in many areas of health care research, but there are no published studies considered ANN models for prediction of cerebral palsy (CP) development.

Objective: To compare the results of an ANN analysis with results of regression analysis, using the same data set and the same clinical and HRV parameters.