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INTRODUCTION Patient-reported outcomes (PROs) are of increasing importance in clinical medicine. However, their evaluation by classic psychometric methods carries considerable limitations. The clinimetric approach provides a viable framework for their assessment. OBJECTIVE The aim of this paper was to provide a systematic review of clinimetric properties of the Symptom Questionnaire (SQ), a simple, self-rated instrument for the assessment of psychological symptoms (depression, anxiety, hostility, and somatization) and well-being (contentment, relaxation, friendliness, and physical well-being). METHODS The PRISMA guidelines were used. Electronic databases were searched from inception up to March 2019. Only original research articles, published in English, reporting data about the clinimetric properties of the SQ, were included. RESULTS A total of 284 studies was selected. The SQ has been used in populations of adults, adolescents, and older individuals. The scale significantly discriminated between subgroups of subjects in both clinical and nonclinical settings, and differentiated medical and psychiatric patients from healthy controls. In longitudinal studies and in controlled pharmacological and psychotherapy trials, it was highly sensitive to symptoms and well-being changes and discriminated between the effects of psychotropic drugs and placebo. CONCLUSIONS The SQ is a highly sensitive clinimetric index. It may yield clinical information that similar scales would fail to provide and has a unique position among the PROs that are available. Its use in clinical trials is strongly recommended. © 2020 S. Karger AG, Basel.BACKGROUND Patients with chronic obstructive pulmonary disease (COPD) experience dyspnea and hypoxemia during exercise. OBJECTIVE The aim of this study was to evaluate the effects of breathing oxygen-enriched air on exercise performance and associated physiological changes in patients with COPD. METHODS In a randomized, placebo-controlled, single-blind, cross-over trial, 20 patients with COPD (11 women, age 65 ± 6 years, FEV1 64 ± 19% pred., resting SpO2 ≥90%) performed 4 cycle ergospirometries to exhaustion using an incremental exercise test (IET) and a constant work rate (at 75% maximal workload with air) exercise test (CWRET), each with ambient (FiO2 0.21) and oxygen-enriched (FiO2 0.5) air. The main outcomes were the change in maximal workload in the IET and the change in exercise duration in the CWRET with oxygen versus air. Electrocardiogram, pulmonary gas exchange, thoracic volumes by inductance plethysmography, arterial blood gases, and cerebral and quadriceps muscle tissue oxygenation (CTO and MTO) were additionally measured. RESULTS In the IET, maximal workload increased from 96 ± 21 to 104 ± 28 W with oxygen. In the CWRET, exercise duration increased from 605 ± 274 to 963 ± 444 s with oxygen. At end-exercise with oxygen, CTO, MTO, PaO2, and PaCO2 were increased, while V'E/V'CO2 was reduced and thoracic volumes were similar. At the corresponding time to end of exercise with ambient air, oxygen decreased heart rate, respiratory rate, minute ventilation, and V'E/V'CO2, while oxygenation was increased. CONCLUSION In COPD patients without resting hypoxemia, breathing oxygen-enriched air improves exercise performance. This relates to a higher arterial oxygen saturation promoting oxygen availability to muscle and cerebral tissue and an enhanced ventilatory efficiency. COPD patients may benefit from oxygen therapy during exercise training. © 2020 S. Karger AG, Basel.Mediastinal biopsy is essential for the clinical diagnosis of mediastinal disease. Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is a well-established approach for obtaining diagnostic samples from mediastinal masses or enlarged lymph nodes which is proven to be minimally invasive and effective. However, the insufficiency of intact samples acquired might restrict the diagnostic efficacy of EBUS-TBNA for mediastinal lesions such as rare malignancy and granulomatous disorder. We here present an EBUS-guided approach for the cryobiopsy of mediastinal diseases that is capable of providing larger amounts of intact tissue with few observed complications. © 2020 S. Karger AG, Basel.BACKGROUND/AIMS G73A polymorphism in the CST3 gene of cystatin C has been associated with Alzheimer's disease, age-related macular degeneration, and cardiovascular disease. However, studies investigating the influence of this genetic variability on serum cystatin C and cystatin-based renal function estimate are limited. Therefore, the aim of this study is to investigate the possible association of single-nucleotide polymorphism (rs1064039) of the CST3 gene on the serum cystatin C level and cystatin C-based estimated glomerular filtration rate (eGFR). METHODS Study subjects include patients with various levels of renal function recruited from the nephrology clinic and wards of a tertiary hospital. selleck The blood samples collected were analyzed for serum cystatin C and creatinine levels by particle-enhanced turbidimetric immunoassay and kinetic alkaline picrate method, respectively. DNA was extracted using a commercially available kit. -Polymerase chain reaction results were confirmed by direct DNA Sanger sequencing. RESULTS The genotype percentage (G/G = 73%, G/A = 24.1%, and A/A = 2.9%) adhere to the Hardy-Weinberg equilibrium. The dominant allele found in our population was CST3 73G allele (85%). The regression lines' slope of serum cystatin C against creatinine and cystatin C-based eGFR against creatinine-based eGFR, between G and A allele groups, showed a statistically significant difference (z-score = 3.457, p less then 0.001 and z-score = 2.158, p = 0.015, respectively). Patients with A allele had a lower serum cystatin C level when the values were extrapolated at a fixed serum creatinine value, suggesting the influence of genetic factor. CONCLUSION Presence of CST3 gene G73A polymorphism affects serum cystatin C levels. © 2020 S. Karger AG, Basel.OBJECTIVE This work aims to develop an efficient and robust age-dependent multiple linear regression (MLR) model to estimate blood pressure (BP) from a single-source photoplethysmography (PPG) and biometrics, which could be embedded in the microcontroller of pulse oximeters. APPROACH Hemodynamic features were extracted from the PPG signal using its waveform, derivatives, and biometrics. Whole-based, feature-based, and fusion models were evaluated and compared for different age groups. Their performance was tested using 1086 subjects with a leave-one-subject-out cross-validation. The improvement by adding biometrics and the long-term calibration effect were investigated in detail. The relative importance of each feature was compared between different age groups and the implication was discussed. MAIN RESULTS The fusion model achieved the best performance in subjects with well-defined PPG features, whereas the feature-based method was better suited for subjects with damped signals. Adding age significantly improved both systolic BP (SBP) and diastolic BP (DBP) estimation accuracy for older subjects (> 50 years old) with well-defined features, while it only improved diastolic BP accuracy for older subjects with damped signals.
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