Turk J Med Sci
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Sarcoidosis is a multisystem disorder that affects many organs, including the kidneys. This single-center retrospective study investigated the clinical, pathological, and laboratory findings of patients with kidney sarcoidosis who were treated with immunosuppressives. ⋯ Hypercalcemia and lower interstitial fibrosis and tubular atrophy rates might be associated with better outcomes in sarcoidosis-related kidney involvement under immunosuppressive treatment. Moreover, late diagnosis, irregular follow-up, and glomerular disorders could be poor prognostic factors.
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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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To investigate the possible morbidities associated with the implantation of a totally implantable venous access device (TIVAD) in breast cancer (BC) patients. ⋯ This study concludes that the right SCV approach remains a morbidity-safe route for TIVAD implantation in BC patients, as in other malignancies. The study suggests that clinicians can use other implantation routes to avoid catheter-related infection in patients scheduled for neoadjuvant treatment, who also have morbidity, and who are likely to receive postoperative radiotherapy.
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Video pediatric gait, arms, leg, and spine (v-pGALS) is a virtual application of the pediatric gait, arms, leg, and spine (pGALS) examination performed by video. We aimed to verify the applicability, validity, and accuracy of the Turkish translation of v-pGALS in a large pediatric patient cohort. ⋯ The v-pGALS is an applicable, accurate, and practical tool for evaluating MSK problems in children. The Turkish translation was also conveniently acceptable.
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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.