Turk J Med Sci
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The distinctive liver framework is converted into structurally abnormal nodules as a consequence of tissue fibrosis in cirrhosis. Cardiac dysfunction in cirrhosis was described, and the term "cirrhotic cardiomyopathy (CCM)" was coined to describe this syndrome. Recent research has shown that the contractile characteristics of the right ventricular outflow tract (RVOT) have a significant impact on right ventricular functions. The right ventricular outflow tract-systolic excursion is an important systolic function marker of RVOT (RVOT-SE). There has yet to be published research on RVOT function in cirrhotic patients. We looked at the relationship between cirrhosis severity and the RVOT-SE. ⋯ In the current study, we found that RVOT-SE was related to the severity of cirrhosis. Larger patient cohorts and multi-center investigations will provide light on the notion.
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Fall risk assessment is crucial for older adults because falls are associated with morbidity and mortality. This study investigated the relationship of gait speed (GS) and handgrip strength (HGS) with falls and assessed whether cognition mediates this causality. ⋯ GS is an efficient and practical assessment tool for identifying older adults at risk of falls regardless of their cognitive status.
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Observational Study
Relationships between stenosis severity, functional limitation, pain, and quality of life in patients with cervical spondylotic radiculopathy.
This study aimed to examine the relationships between severity of stenosis, pain, functional limitation, disability, and quality of life in patients with cervical spondylotic radiculopathy. ⋯ There are direct relationships between cervical spondylotic radiculopathy and neck and arm pain, numbness, disability, and quality of life. Additionally, an increase in the severity of cervical stenosis is associated with an increase in pain and disability.
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Tandem mass spectrometry is helpful in diagnosing amino acid metabolism disorders, organic acidemias, and fatty acid oxidation disorders and can provide rapid and accurate diagnosis for inborn errors of metabolism. The aim of this study was to predict inborn errors of metabolism in children with the help of artificial neural networks using tandem mass spectrometry data. ⋯ The results showed that the proposed artificial neural networks are capable of predicting inborn errors of metabolism very accurately. Therefore, developing new technologies to identify and predict inborn errors of metabolism will be very useful.
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This study was conducted to evaluate the results of autism spectrum disorder (ASD) screenings conducted in a region of İstanbul between 2018 and 2023. ⋯ Autism spectrum disorder is a developmental disorder whose prevalence is increasing globally and for which early diagnosis is important. To recognize this disease, it is necessary to increase screening and raise awareness among families. This study will also shed light on future studies on this subject.