Peritonitis caused by Listeria monocytogenes and Burkholderia cepacia in a patient on peritoneal dialysis: a case report.

Peritoneal dialysis (PD)-associated peritonitis is a major cause of peritoneal dysfunction and failure. The main issue regarding the treatment is whether to remove the catheter surgically or to treat with antibiotics alone. Notably, PD-associated peritonitis is commonly caused by gram-positive cocci, but rarely by Listeria monocytogenes and Burkholderia cepacia. Here, we report a patient diagnosed with PD-associated peritonitis caused by L. monocytogenes and B. cepacia who presented with a fever, abdominal pain, and turbid dialysate and had been receiving PD for over 20 years. After 2 weeks of antibiotic treatment, the catheter in the patient was surgically removed. Culture and pathology results revealed pathogen growth, foreign body granuloma with chronic inflammation, and inflammatory cells with fibroblast infiltration. The patient was switched to hemodialysis. She eventually recovered and was discharged. The patient presented fair health at the 3-month follow-up. In conclusion, sequential dialysate white blood cell count may help clinicians decide the course of treatment and guide the timing of surgical intervention.

Deep brain stimulation of the Tbr1-deficient mouse model of autism spectrum disorder at the basolateral amygdala alters amygdalar connectivity, whole-brain synchronization, and social behaviors.

Autism spectrum disorders (ASDs) are considered neural dysconnectivity syndromes. To better understand ASD and uncover potential treatments, it is imperative to know and dissect the connectivity deficits under conditions of autism. Here, we apply a whole-brain immunostaining and quantification platform to demonstrate impaired structural and functional connectivity and aberrant whole-brain synchronization in a Tbr1+/- autism mouse model. We express a channelrhodopsin variant oChIEF fused with Citrine at the basolateral amygdala (BLA) to outline the axonal projections of BLA neurons. By activating the BLA under blue light theta-burst stimulation (TBS), we then evaluate the effect of BLA activation on C-FOS expression at a whole brain level to represent neural activity. We show that Tbr1 haploinsufficiency almost completely disrupts contralateral BLA axonal projections and results in mistargeting in both ipsilateral and contralateral hemispheres, thereby globally altering BLA functional connectivity. Based on correlated C-FOS expression among brain regions, we further show that Tbr1 deficiency severely disrupts whole-brain synchronization in the absence of salient stimulation. Tbr1+/- and wild-type (WT) mice exhibit opposing responses to TBS-induced amygdalar activation, reducing synchronization in WT mice but enhancing it in Tbr1+/- mice. Whole-brain modular organization and intermodule connectivity are also affected by Tbr1 deficiency and amygdalar activation. Following BLA activation by TBS, the synchronizations of the whole brain and the default mode network, a specific subnetwork highly relevant to ASD, are enhanced in Tbr1+/- mice, implying a potential ameliorating effect of amygdalar stimulation on brain function. Indeed, TBS-mediated BLA activation increases nose-to-nose social interactions of Tbr1+/- mice, strengthening evidence for the role of amygdalar connectivity in social behaviors. Our high-resolution analytical platform reveals the inter- and intrahemispheric connectopathies arising from ASD. Our study emphasizes the defective synchronization at a whole-brain scale caused by Tbr1 deficiency and implies a potential beneficial effect of deep brain stimulation at the amygdala for TBR1-linked autism.

Coexistence of urinary tuberculosis and urothelial carcinoma: A case report.

BACKGROUND: Taiwan has a high prevalence of tuberculosis and urothelial carcinoma. However, the simultaneous occurrence of both disorders in one patient is uncommon. Tuberculosis and urothelial carcinoma share some common risk factors and could demonstrate overlapping clinical manifestations. CASE SUMMARY: Herein, we report the case of a patient who presented with fever, persistent hematuria, and pyuria. Chest computed tomography scans revealed a bilateral upper lobes cavitary lesion with fibrosis. Severe hydronephrosis of the right kidney and renal stones and cysts in the left kidney were observed. Initial microbiological testing was negative; however, a polymerase chain reaction assay of the urine confirmed a urinary tuberculosis infection. The patient was started on an anti-tuberculosis regimen. Ureteroscopy performed to resolve obstructive nephropathy revealed the incidental finding of a left middle-third ureteral tumor. Examination after biopsy and transurethral resection of the bladder tumor indicated urothelial carcinoma. The patient underwent laparoscopic nephroureterectomy, with bladder cuff excision for the right kidney and ureter, and holmium laser ablation of the ureteral lesion to preserve the left kidney and ureter. He has remained stable after the procedures. CONCLUSION: Although establishing a causal relationship between tuberculosis and cancer is difficult, medical personnel should consider their correlation.

PADAr: physician-oriented artificial intelligence-facilitating diagnosis aid for retinal diseases.

Purpose: Retinopathy screening via digital imaging is promising for early detection and timely treatment, and tracking retinopathic abnormality over time can help to reveal the risk of disease progression. We developed an innovative physician-oriented artificial intelligence-facilitating diagnosis aid system for retinal diseases for screening multiple retinopathies and monitoring the regions of potential abnormality over time. Approach: Our dataset contains 4908 fundus images from 304 eyes with image-level annotations, including diabetic retinopathy, age-related macular degeneration, cellophane maculopathy, pathological myopia, and healthy control (HC). The screening model utilized a VGG-based feature extractor and multiple-binary convolutional neural network-based classifiers. Images in time series were aligned via affine transforms estimated through speeded-up robust features. Heatmaps of retinopathy were generated from the feature extractor using gradient-weighted class activation mapping++, and individual candidate retinopathy sites were identified from the heatmaps using clustering algorithm. Nested cross-validation with a train-to-test split of 80% to 20% was used to evaluate the performance of the screening model. Results: Our screening model achieved 99% accuracy, 93% sensitivity, and 97% specificity in discriminating between patients with retinopathy and HCs. For discriminating between types of retinopathy, our model achieved an averaged performance of 80% accuracy, 78% sensitivity, 94% specificity, 79% F1-score, and Cohen's kappa coefficient of 0.70. Moreover, visualization results were also shown to provide reasonable candidate sites of retinopathy. Conclusions: Our results demonstrated the capability of the proposed model for extracting diagnostic information of the abnormality and lesion locations, which allows clinicians to focus on patient-centered treatment and untangles the pathological plausibility hidden in deep learning models.

Spectral-Temporal Receptive Field-Based Descriptors and Hierarchical Cascade Deep Belief Network for Guitar Playing Technique Classification.

Music information retrieval is of great interest in audio signal processing. However, relatively little attention has been paid to the playing techniques of musical instruments. This work proposes an automatic system for classifying guitar playing techniques (GPTs). Automatic classification for GPTs is challenging because some playing techniques differ only slightly from others. This work presents a new framework for GPT classification: it uses a new feature extraction method based on spectral-temporal receptive fields (STRFs) to extract features from guitar sounds. This work applies a supervised deep learning approach to classify GPTs. Specifically, a new deep learning model, called the hierarchical cascade deep belief network (HCDBN), is proposed to perform automatic GPT classification. Several simulations were performed and the datasets of: 1) data on onsets of signals; 2) complete audio signals; and 3) audio signals in a real-world environment are adopted to compare the performance. The proposed system improves upon the F-score by approximately 11.47% in setup 1) and yields an F-score of 96.82% in setup 2). The results in setup 3) demonstrate that the proposed system also works well in a real-world environment. These results show that the proposed system is robust and has very high accuracy in automatic GPT classification.

Microbiological features, clinical characteristics and outcomes of infective endocarditis in adults with and without hemodialysis: A 10-year retrospective study in Northern Taiwan.

BACKGROUND/PURPOSES: Infective endocarditis (IE) is an important cause of morbidity and mortality in hemodialysis (HD) patients. Data on the differences in the microbiological features as well as clinical characteristics and outcomes of HD and non-HD patients with IE are limited. METHODS: Medical records of patients (aged over 20 years) with IE were retrospectively reviewed from January 2008 to June 2017 in a tertiary care center in Northern Taiwan. Those with definite or possible IE were included in the study. The clinical characteristics, microbiological results, echocardiographic findings and outcomes of patients were analyzed. RESULTS: Of the 183 patients with definite or possible IE, 47 had undergone HD and 136 had not. Advanced age (67.3 vs. 61.5 years, p = 0.027), more female gender (51.1% vs. 33.8%, p = 0.036), comorbidities (a high Charlson comorbidity index, 8.17 vs. 4.21, p < 0.001), diabetes mellitus (68.1% vs. 35.3%, p < 0.001), and hypertension (85.1% vs. 53.7%, p < 0.001) were commonly observed in HD patients than in non-HD patients. The yield rate of the blood cultures was higher in HD group than in non-HD group (89.4% vs. 72.8%, p = 0.02). The proportion of methicillin-resistant Staphylococcus aureus was significantly higher in HD group than in non-HD group (31.9% vs. 5.9%, p < 0.001). HD patients versus non-HD patients had higher cardiac complication rates (38.3% vs. 14%, p < 0.001). CONCLUSION: Advanced age, sex (female), comorbidities, diabetes mellitus, and hypertension were more common in HD patients than in non-HD patients with IE. HD patients had higher proportion of methicillin-resistant S. aureus and cardiac complication rates than non-HD patients with IE. Culture-negative IE was more common in non-HD patients.

Invasive liver abscess syndrome predisposed by Klebsiella pneumoniae related prostate abscess in a nondiabetic patient: a case report.

BACKGROUND: Prostate abscess is usually a complication of acute urinary tract infection. Invasive liver abscess syndrome is characterized with Klebsiella pneumoniae related multiple organ metastasis. Concomitant pyogenic liver abscess and prostate abscess have rarely been reported. Recurrent episode of liver abscess is even rarer. CASE PRESENTATION: We report a 71-year-old male with acute bacterial prostate abscess and urinary tract infection caused by K. pneumoniae associated with multiple liver abscess, psoas muscle abscess and osteomyelitis. Blood culture and urine culture yielded K. pneumoniae, which confirmed the diagnosis of invasive liver abscess syndrome caused by K. pneumoniae. The patient was successfully treated with empirical antibiotics for 6 weeks. CONCLUSIONS: This case emphasizes the importance of timely and accurate diagnosis followed by appropriate treatment in disseminated K. pneumoniae infection to prevent significant morbidity and mortality.

Novel Investigations of Flavonoids as Chemopreventive Agents for Hepatocellular Carcinoma.

We would like to highlight the application of natural products to hepatocellular carcinoma (HCC). We will focus on the natural products known as flavonoids, which target this disease at different stages of hepatocarcinogenesis. In spite of the use of chemotherapy and radiotherapy in treating HCC, patients with HCC still face poor prognosis because of the nature of multidrug resistance and toxicity derived from chemotherapy and radiotherapy. Flavonoids can be found in many vegetables, fruits, and herbal medicines that exert their different anticancer effects via different intracellular signaling pathways and serve as antioxidants. In this review, we will discuss seven common flavonoids that exert different biological effects against HCC via different pathways.