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Lauritsen Coble opublikował 5 miesięcy, 1 tydzień temu
In this paper, point-of-care ultrasound (POCUS) for the initial diagnosis and the management of acute abdomen is discussed. POCUS is supposed to be executed mainly by doctors other than ultrasound specialists anytime and anywhere such as in the emergency room or the intensive care unit. Although it seems rather difficult to cover the wide spectrum of organs as well as diseases causing acute abdominal pain, the author advocates a „six approach” for the diagnosis and triage of acute abdomen, which consists of scanning at eight points in less than 5 min. With this method, the attending doctor can diagnose most of the diseases frequently encountered in patients with acute abdomen, which can help patients avoid unnecessary examinations or admissions. However, users of POCUS should be aware of its limitations, especially when they are using pocket-sized ultrasound equipment. Therefore, users should be careful when ruling out a disease even when they cannot find any pathological findings, and consider the need for further examinations such as US done by specialists with high-end equipment or CT. Since there has been no standard curriculum in Japan for POCUS training that should deal with basic physics and techniques for US, normal abdominal anatomy, typical pathological US findings, and interventional US, the establishment of a learning program for doctors and training of experts as instructors of POCUS are needed.
Blood flow reduction after initiation of lenvatinib therapy may not always indicate tumor necrosis. This study aimed to compare the blood flow detectability of contrast-enhanced ultrasonography (CEUS), contrast-enhanced computed tomography (CT), and contrast-enhanced magnetic resonance imaging (MRI) in hepatocellular carcinoma (HCC) during lenvatinib therapy.
A total of 12 cases underwent CEUS and contrast-enhanced CT/MRI within 2weeks during lenvatinib therapy. Vascularity on CEUS and CT/MRI was compared.
At the time of CEUS examination, the median period from the start of lenvatinib was 227 ± 210 (31-570) days. CEUS showed hyperenhancement in eight cases (66.7%), hypoenhancement in two cases (16.7%), and no enhancement in one case (8.3%), while CT/MRI showed hyperenhancement in one case (8.3%), ring enhancement in three cases (25.0%), and hypoenhancement in eight cases (66.7%) (p = 0.007). Transarterial chemoembolization (n = 3), radiofrequency ablation (n = 2), and stereotactic body radiation therapy (n = 2) were performed after blood flow detection by CEUS.
The viability of the HCC should be confirmed using CEUS when contrast-enhanced CT/MRI reveals lesion hypoenhancement during lenvatinib therapy.
The viability of the HCC should be confirmed using CEUS when contrast-enhanced CT/MRI reveals lesion hypoenhancement during lenvatinib therapy.
Cytogenetic testing (CGT) in uveal melanoma patients reveals prognostic information about the individual risk of developing distant metastasis with dismal prognosis. There is currently no medical intervention strategy with proven effect on the prognosis, rendering the result of the cytogenetic testing purely informative. We explored patients’ socio-demographic backgrounds, psychological preconditions, coping strategies, external influences, and concerns about „knowing their fate” to study their possible interactions with decision-making for CGT.
Uveal melanoma patients were asked to complete questionnaires on their interest in undergoing CGT for prognostication and the factors influencing their decision. Data were collected on socio-demographics, baseline anxiety (GAD-7), depression (PHQ-9), coping strategies (Brief COPE), and assumed future concerns regarding the CGT result. Data were analyzed by using multiple ordinal logistic regression and exploring estimated marginal effects.
Questionnaires were regarding further treatment and screening procedures. The psychological impact of the decision is therefore unique and requires careful support by psycho-oncologists considering the patient’s fears and expectations.
To identify risk factors for opioid-induced constipation (OIC).
This study retrospectively analyzed 175 advanced cancer patients who were receiving pain treatment with opioids and were newly prescribed laxatives for OIC at Seirei Hamamatsu General Hospital between November 2016 and June 2021. For the regression analysis of factors associated with OIC, variables were extracted manually from clinical records. The effect of newly prescribed laxatives for OIC was evaluated as „effective” in cases where the number of spontaneous bowel movements increased at least once in the first 3days. The OIC was defined based on Rome IV diagnostic criteria. Multivariate logistic regression analysis was performed to identify risk factors for OIC. Optimal cutoff thresholds were determined using receiver operating characteristic analysis. Values of P < 0.05 (two-tailed) were considered significant.
Significant factors identified included body mass index (BMI) (odds ratio [OR] = 0.141, 95% confidence interval [CI] = 0.027-0.733; P = 0.020), chemotherapy with taxane within 1month of evaluation of laxative effect (OR = 0.255, 95% CI = 0.068-0.958; P = 0.043), use of naldemedine (OR = 2.791, 95% CI = 1.220-6.385; P = 0.015), and addition or switching due to insufficient prior laxatives (OR = 0.339, 95% CI = 0.143-0.800; P = 0.014).
High BMI, chemotherapy including a taxane within 1month of evaluation of laxative effect, no use of naldemedine, and addition or switching due to insufficient prior laxatives were identified as risk factors for OIC in advanced cancer patients with cancer pain.
High BMI, chemotherapy including a taxane within 1 month of evaluation of laxative effect, no use of naldemedine, and addition or switching due to insufficient prior laxatives were identified as risk factors for OIC in advanced cancer patients with cancer pain.Prostate cancer is the most common cause of cancer-related death among men. Due to related societal limitations, the Coronavirus Disease 2019 pandemic increases physical inactivity, which decreases cancer survivors’ functional capacity. As a result, golf might be a good way for prostate cancer survivors who have been fully vaccinated against coronavirus disease to improve their musculoskeletal function, cardiorespiratory fitness, psychological function, and general quality of life. Aerobic activity’s ability to adjust hormone levels, prevent obesity, increase immunological function, and lower oxidative stress have all been identified as reasons for its benefit for prostate cancer survivors. Prostate cancer survivors must first complete a fitness evaluation supervised and recommended by a certified clinical exercise physiologist after consultations with a urologic oncologist before enrolling in a cancer-specific community golf program. Cardiopulmonary exercise testing is currently the gold standard technique for the evaluation of cardiopulmonary fitness. Prostate cancer survivors should be placed in a group with regard to their fitness level if they pass this fitness test. Prostate cancer survivors can be grouped into four to five groups at a time. Golfing activities should include warm-up, driving range, and course activities (on-course golf play twice a week for a duration of 90 min per day or 180 min per week at moderate-intensity). From the uro-oncologists’ point of view, prostate cancer survivors can benefit from group-based community golf programs that can be recommended and designed for them through the collaboration of their physician and a certified exercise professional.This study investigates the effects of antidepressants fluoxetine, sertraline, and amitriptyline on the development of antibiotic resistance in clinical Acinetobacter baumannii isolates. The isolates were exposed to fluoxetine, sertraline, and amitriptyline for 30 days, respectively. The bacteria that developed resistance to gentamicin, imipenem, colistin, and ciprofloxacin were isolated and expression levels of some antibiotic-resistance genes were determined by quantitative reverse-transcriptase PCR. Before and after the exposure, minimum inhibitory concentration (MIC) values of the bacteria were determined by the microdilution method. The statistical analysis was performed using Student’s t test. A time-dependent increase was observed in the number of bacteria that developed resistance and increased the MIC value. After exposure to fluoxetine and sertraline, decreases were observed for efflux and outer membrane porin genes in isolates that developed colistin resistance, and increases were observed in isolates that developed ciprofloxacin resistance. These observations suggest that these antidepressants have similar effects on the development of resistance. While the exposure to fluoxetine did not result in the development of resistance to imipenem, it was observed after exposure to sertraline and amitriptyline, and a common decrease in ompA gene expression was determined in these isolates. To our knowledge, the comparative effects of selected antidepressants on the development of antibiotic resistance in A. baumannii are reported and presented in the literature here for the first time.
Increased ophthalmology-specific risk of novel coronavirus 2019 (SARS-CoV-2) transmission is well-established, increasing the fear of infection and causing associated decreased rates of procedures known to save vision. However, the potential transmission from exposure to clinic instrumentation is unknown, including which additional pathogens may be spreading in this context. This study seeks to fill this gap by characterizing the microbiota of instrumentation in ophthalmology clinics during the COVID-19 pandemic and identifying potential sources of pathogenic spread encountered by patients and healthcare workers.
Thirty-three samples were captured using standard cultures and media. Ten positive and negative controls were used to confirm proper technique. Descriptive statistics were calculated for all samples. Samples were collected from the retina (N = 17), glaucoma (N = 6), cornea (N = 6), and resident (N = 4) clinics with rigorous disinfection standards at a tertiary academic medical center. Standard me-2. Many isolated pathogens have been implicated in causing infections such as endophthalmitis, conjunctivitis, uveitis, and keratitis. The clinical implications of the ophthalmology microbiome for transmitting nosocomial infections warrant optimization of disinfection practices, strategies for mitigating spread, and additional study beyond the pandemic.
Most samples across subspecialty clinic instrumentation grew bacteria, and several tested positive for SARS-CoV-2. Many isolated pathogens have been implicated in causing infections such as endophthalmitis, conjunctivitis, uveitis, and keratitis. The clinical implications of the ophthalmology microbiome for transmitting nosocomial infections warrant optimization of disinfection practices, strategies for mitigating spread, and additional study beyond the pandemic.
The aim of our study was to evaluate retinal function with white light dark-adapted full-field sensitivity threshold (FST) and find possible correlations with metabolic function measured with retinal oximetry (RO) in patients with retinitis pigmentosa (RP).
In this prospective observational study (BASEC 2020-00,122), FST and RO measurements were performed on 66 RP eyes (33 subjects, 12♀ 21♂) aged between 18 and 80years (mean 43.2years); all eyes were graded for disease severity. Main outcome parameters were white FST thresholds using the Diagnosys Espion system with the ColorDomeTM LED full-field stimulator (Diagnosys LLC, Lowell, MA) as well as the main RO parameters the mean arterial (A-SO
; %), venular (V-SO
; %) oxygen saturation, their difference (A-V SO
; %), and the corresponding mean diameters of the peripapillary retinal arterioles (D-A; μm) and venules (D-V; μm) recorded with the oxygen saturation tool of the Retinal Vessel Analyser (RVA; IMEDOS Systems UG, Jena, Germany). In addition, semi-automated kinetic perimetry (V4e, III4e, I4e, III3e isopters, Octopus 900®, Haag-Streit AG Bern, Switzerland) was performed and included in the linear mixed-effects models analysis calculated with SPSS®.