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Aim: To determine the test and retest reliability of the functional head impulse test (fHIT) in healthy young adults. Materials and methods: Thirty-three healthy participants (17 women, 16 men) aged 18–30 years were included in the study. Each participant underwent the fHIT twice, 1 week apart, by the same experienced clinician. Intraclass correlation coefficients (ICCs) were used to determine test–retest reliability. Results: There was no statistically significant difference between the results of total percentage of correct answer (CA%) of the fHIT obtained in session 1 and session 2 measurements in the lateral, anterior, and posterior semicircular canals (SCCs) (p > 0.05). ICC values for test–retest reliability were found to range from 0.619 to 0.665 for the three semicircular canals (SCCs). Conclusion: The test–retest reliability of the fHIT device was moderate. Attention, cognition, and fatigue may be the factors reducing reliability. In the diagnosis, follow-up, and rehabilitation processes of vestibular diseases in clinics, changes in the fHIT CA% can be used to assess vestibulo-ocular reflex (VOR) functionality. [ABSTRACT FROM AUTHOR]

Aim: Individuals who receive hemodialysis treatment due to chronic renal failure have limitations in their daily lives and a decrease in physical activity and walking speed. In this study, we have investigated the effectiveness of various measurements of ankle angles of hemodialysis performed on patients on balance, falling risk, and daily life activities. Materials and Methods: 114 volunteer hemodialysis patients with a mean age of 30-94 have measured at the position of plantar flexion, inversion, and eversion by a 1-degree sensitivity manual goniometer. The Time Up and Go test (TUG), Lawton and Brody Instrumental Activities of Daily Living (IADL) Scale and Barthel Index (BI) were applied to the patients. Statistical analyses were made with the SPSS 25 program. Results: 55 male and 59 female participants were accompanied in the study. The average age was 62.8 ± 15.29, the average hemodialysis duration was 5.59 ± 3.92, the average body mass index was 5.08 ± 5.1 and he average number of falls was 5.59 ± 3.92. A low positive significant correlation was observed between plantar flexion and inversion foot angle measurements with The Lawton and Brody IADL scale (p<0,05). A low-level significant positive correlation was observed between the BI score and the plantar flexion angle measurements (p<0.05). A highly significant positive correlation was observed between plantar flexion angle measurement and inversion angle measurement. In contrast, a moderately significant positive correlation was observed between plantar flexion angle measurement and eversion angle measurement (p<0.05). Conclusion: We observed a decrease in daily life activities and a walking speed increase in falling risk in the diagnosis of chronic renal failure in hemodialysis patients. [ABSTRACT FROM AUTHOR]

Aim: Method: This research presents a model combining machine learning (ML) techniques and eXplainable artificial intelligence (XAI) to predict breast cancer (BC) metastasis and reveal important genomic biomarkers in metastasis patients. Method: A total of 98 primary BC samples was analyzed, comprising 34 samples from patients who developed distant metastases within a 5-year follow-up period and 44 samples from patients who remained disease-free for at least 5 years after diagnosis. Genomic data were then subjected to biostatistical analysis, followed by the application of the elastic net feature selection method. This technique identified a restricted number of genomic biomarkers associated with BC metastasis. A light gradient boosting machine (LightGBM), categorical boosting (CatBoost), Extreme Gradient Boosting (XGBoost), Gradient Boosting Trees (GBT), and Ada boosting (AdaBoost) algorithms were utilized for prediction. To assess the models' predictive abilities, the accuracy, F1 score, precision, recall, area under the ROC curve (AUC), and Brier score were calculated as performance evaluation metrics. To promote interpretability and overcome the "black box" problem of ML models, a SHapley Additive exPlanations (SHAP) method was employed. Results: The LightGBM model outperformed other models, yielding remarkable accuracy of 96% and an AUC of 99.3%. In addition to biostatistical evaluation, in XAI-based SHAP results, increased expression levels of TSPYL5, ATP5E, CA9, NUP210, SLC37A1, ARIH1, PSMD7, UBQLN1, PRAME, and UBE2T (p ≤ 0.05) were found to be associated with an increased incidence of BC metastasis. Finally, decreased levels of expression of CACTIN, TGFB3, SCUBE2, ARL4D, OR1F1, ALDH4A1, PHF1, and CROCC (p ≤ 0.05) genes were also determined to increase the risk of metastasis in BC. Conclusion: The findings of this study may prevent disease progression and metastases and potentially improve clinical outcomes by recommending customized treatment approaches for BC patients. [ABSTRACT FROM AUTHOR]