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1.
Medicina (Kaunas) ; 58(12)2022 Dec 05.
Article in English | MEDLINE | ID: mdl-36556995

ABSTRACT

Background: Cervical dystonia is a highly disabling hyperkinetic movement disorder with a lot of nonmotor symptoms. One symptom with a high prevalence is depression, which may negatively affect dystonia patients. The aim of the study was to investigate the impact of depression on disease severity and cognitive functions in cervical dystonia patients. Methods: Patients with cervical dystonia were interviewed and divided into two groups, based on the Patient Health Questionnaire-9: those with no depression or mild depressive features and those with moderate, moderately severe, and severe depression. The severity of dystonia and cognitive functions were assessed and compared in both groups. Results: A total of 52 patients were investigated. Self-assessment of the disease was more negative in clinically significant depressive signs group (p = 0.004), with a tendency for patients with clinically significant depressive features to have a slightly higher score on objective dystonia scales (TSUI and TWSTRS), but without statistically significant differences (p = 0.387 and p = 0.244, respectively). Although not statistically significant, a slightly higher MoCA scale score was registered in cervical dystonia patients with clinically insignificant depressive signs. There was a tendency for worse results in the abstraction category in patients with clinically significant depression (p = 0.056). Conclusions: Patients with clinically significant depression have a more negative self-assessment of the disease and perform worse in abstraction tasks.


Subject(s)
Torticollis , Humans , Torticollis/complications , Torticollis/epidemiology , Torticollis/psychology , Cross-Sectional Studies , Patient Acuity , Severity of Illness Index , Cognition
2.
JCO Precis Oncol ; 2: 1-13, 2018 Nov.
Article in English | MEDLINE | ID: mdl-35135111

ABSTRACT

PURPOSE: Liquid biopsies represent an attractive alternative to tissue biopsies, particularly rebiopsies, in determining patient eligibility for targeted therapies. Clinical utility of urine genotyping, however, has not been explored extensively. We evaluated epidermal growth factor receptor (EGFR) T790M detection in matched urine, plasma, and tissue and the clinical outcomes of patients with advanced non-small-cell lung cancer treated with rociletinib. METHODS: Tissue (n = 540), plasma (n = 482), and urine (n = 213) were collected from evaluable patients enrolled in TIGER-X, a phase I/II study. Genotyping was performed by therascreen EGFR testing in tissue, BEAMing in plasma, and a quantitative short footprint assay (Trovera) in urine, which was used to further examine discordant samples. RESULTS: Positive percent agreement with tissue T790M results was similar for urine (82%; 142 of 173) and plasma (81%; 313 of 387) genotyping. Urine and plasma together identified more patients who were T790M positive (92%) than tissue alone (83%) among matched samples (n = 177). The ability to identify mutations in plasma was strongly associated with M stage (P < .001); rate of T790M detection for patients with M1a/M0 disease increased from 54% for plasma alone to 85% when urine and plasma were both examined. Objective response rates of patients who were T790M positive were comparable between tumor (34%), plasma (32%), and urine (37%). CONCLUSION: Clinical response to rociletinib was comparable irrespective of whether T790M status was identified by liquid or tissue biopsy. Combined, urine and plasma identified a higher percentage of patients who were T790M positive than tumor genotyping alone and improved detection of T790M, particularly in the absence of distant metastases. These findings support the noninvasive analysis of urine and plasma before tumor rebiopsy when assessing T790M status.

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