Medicina
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Pharmacotherapy for major depressive disorder (MDD) typically consists of trial-and-error and clinician preference approaches, where patients often fail one or more antidepressants before finding an optimal regimen. Pharmacogenomics (PGx) can assist in prescribing appropriate antidepressants, thereby reducing the time to MDD remission and occurrence of adverse drug events. Since many antidepressants are metabolized by and/or inhibit cytochrome P450 enzymes (e.g., CYP2C19 or CYP2D6), drug-induced phenoconversion is common in patients on antidepressant combinations. ⋯ These antidepressants delivered a significant additive sedative effect and interacted with the patient's hydrocodone, potentially contributing to uncontrolled pain, upward dose titration of hydrocodone, and a higher overall sedative burden. The PGx results and drug-induced phenoconversion described in this case report explain the patient's excessive sedation and possibly ineffective/toxic antidepressant and opioid treatment. This case report also illustrates how a more timely multi-drug interaction assessment (preferably in conjunction with preemptive PGx testing) may have informed a different prescribing pattern, reduced/avoided a prescribing cascade, and potentially prevented a drug-related fall.
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The Temperament Evaluation of Memphis, Pisa, Paris and San Diego Autoquestionnaire (TEMPS-A) is designed to assess affective temperaments. The short version of the TEMPS-A (TEMPS-A-SV) has been translated into various languages for use in research and clinical settings. However, no research has been conducted to validate the Korean version of the TEMPS-A-SV in patients with mood disorders. The goal of this study is to evaluate the reliability and validity of the TEMPS-A-SV in Korean mood disorder patients. ⋯ Overall, the results show that the TEMPS-A-SV is a reliable and valid measurement that can be used for estimating Koreans' affective temperaments. However, more research is required on affective temperaments and associated characteristics in people with mood disorders.
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Background and Objectives: This study aimed to evaluate whether the addition of hypomethylating agents (HMA) to low-intensity chemotherapy can enhance the clinical efficacy of induction treatment for elderly acute myeloid leukemia (AML) patients who are unsuitable for standard induction therapy. Materials and Methods: This study retrospectively analyzed 117 patients over 60 years old who were initially diagnosed with AML and received low-intensity induction treatment in the Department of Hematology in Anhui provincial hospital from January 2015 to December 2020. Twenty-three patients were excluded, and the remaining 94 patients were divided into two groups according to the selection of induction regimens. ⋯ The 30 days cumulative early death rates were 9.1% (95% CI: 3.5-22.4%) in the HMA plus low-intensity chemotherapy group and 6.0% (95% CI: 2.0-17.5%) in the single low-intensity chemotherapy group, respectively (p = 0.59), and the one-year cumulative relapse rates were 21.1% (95% Cl: 9.8-41.9%) and 33.3% (95% Cl: 20.3-51.5%), respectively (p = 0.80). The one-year overall survival (OS) rates for patients in the HMA plus low-intensity chemotherapy group and the single low-intensity chemotherapy group were 37.3% (95% Cl: 23.1-51.5%) and 55.4% (95% Cl: 40.5-67.9%), respectively (p = 0.098), and the one-year event-free survival (EFS) rates were 8.5% (95% Cl: 2.2-20.6%) and 20.6% (95% Cl: 9.1-35.3%), respectively (p = 0.058). Conclusions: This study showed that the addition of HMA to low-intensity induction chemotherapy does not improve prognosis in elderly AML patients who are unsuitable for standard induction chemotherapy.
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Background: Medical image segmentation is more complicated and demanding than ordinary image segmentation due to the density of medical pictures. A brain tumour is the most common cause of high mortality. Objectives: Extraction of tumorous cells is particularly difficult due to the differences between tumorous and non-tumorous cells. ⋯ The model's accuracy has improved to 97 percent, and its loss has reduced to 0.012. Conclusions: Experiments reveal that the proposed approach may successfully segment tumorous and benign tissues. As a result, a novel brain tumour segmentation approach has been created.
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Background and Objectives: Hematological indices have been known to be available markers used for evaluating disease activity in rheumatoid arthritis (RA). This study serves to verify the association between four different hematological indices and disease activity measures in patients with RA. Materials and Methods: The study included 257 female RA patients and 71 age-matched female controls. ⋯ In the analysis using receiver operating characteristic curve of hematological indices for diagnostic accuracy, the area under the curve was 0.703 (95% confidence interval, CI 0.637−0.769, p < 0.001) for SII and 0.705 (95% CI 0.639−0.770, p < 0.001) for NHL score, which showed acceptable potential for the diagnosis of RA. Four hematological indices showed weak potential for the detection of remission. Conclusions: The present study results showed that SII and NHL scores might be useful markers that adequately reflect disease activity and lead to more accurate diagnosis in RA.