Deep brain stimulation of subthalamic nucleus modulates cortical auditory processing in advanced Parkinson's Disease

xlomafota13 shared this article with you from Inoreader Deep brain stimulation of subthalamic nucleus modulates cortical auditory processing in advanced Parkinson's Disease Via cortical auditory PLoS One. 2022 Feb 24;17(2):e0264333. doi: 10.1371/journal.pone.0264333. eCollection 2022. ABSTRACT Deep brain stimulation (DBS) has proven its clinical efficacy in Parkinson's disease (PD), but its exact mechanisms and cortical effects continue to be unclear. Subthalamic (STN) DBS acutely modifies auditory evoked responses, but its long-term effect on auditory cortical processing remains ambiguous. We studied with magnetoencephalography the effect of long-term STN DBS on auditory processing in patients with advanced PD. DBS resulted in significantly increased contra-ipsilateral auditory response latency difference at ~100 ms after stimulus onset compared with preoperative state. The effect is likely due to normalization of neuronal asynchrony in the auditory pathways. The present results indicate that STN DBS in advanced PD patients has long-lasting effects on cortical areas outside those confined to motor processing. Whole-head magnetoencep halography provides a feasible tool to study motor and non-motor neural networks in PD, and to track possible changes related to cortical reorganization or plasticity induced by DBS. PMID:35202426 | PMC:PMC8870490 | DOI:10.1371/journal.pone.0264333 View on the web Inoreader. Take back control of your news feed. Follow us on Twitter and Facebook.

Mycobacterium avium and Mycobacterium intracellulare in potable water in the USA

xlomafota.13 shared this article with you from Inoreader Occurrence revisited: Mycobacterium avium and Mycobacterium intracellulare in potable water in the USA Via Latest Results for Applied Microbiology and Biotechnology Abstract Nontuberculous mycobacterium (NTM) infections are increasing in the USA and have a high cost burden associated with treatment. Thus, it is necessary to understand what changes could be contributing to this increase in NTM disease rate. Water samples from 40 sites were collected from around the USA. They represented three water types: groundwater disinfected with chlorine and surface water disinfected with chlorine or monochloramine. Two methods, culture and qPCR, were used to measure M. avium and M. intracellulare. Heterotrophic bacteria and NTM counts were also measured. M. avium and M. intracellulare were molecularly detected in 25% (73/292) and 35% (102/292) of samples. The mean concentrations of M. avium and M. intracellulare were 2.8 × 103 and 4.0 × 103 genomic units (GU) L−1. The Northeast sites had the highest sample positively rate for both M. avium and M. intracellulare. The highest NTM counts and M. avium concentrations were observed in the surface water treated with chloramine. Geographic location and source water/disinfectant type were observed to significantly influence M. avium and M. intracellulare occurrence rates. These studies can help improve public health risk management by balancing disinfectant treatments and diverse microbial loads in drinking water. Key points • M. avium (MA) culture rate increased significantly: 1% (1999) to 13%. • Culture versus qPCR method: 13% vs 31% for MA and 6% vs 35% for MI. • The results of each method type tell two different stories of MA and MI occurrence. Graphical abstract View on the web Inoreader. Take back control of your news feed. Follow us on Twitter and Facebook.

Postoperative Respiratory Events in Surgical Patients Exposed to Opioid Analgesic Shortages Compared to Fully Matched Patients Non-exposed to Shortages

xlomafota.13 shared this article with you from Inoreader Postoperative Respiratory Events in Surgical Patients Exposed to Opioid Analgesic Shortages Compared to Fully Matched Patients Non-exposed to Shortages Via Latest Results for Drug Safety Abstract Introduction Shortages of opioid analgesics critically disrupt clinical practice and are detrimental to patient safety. There is a dearth of studies assessing the safety implications of drug shortages. Objective We aimed to assess perioperative opioid analgesic use and related postoperative hypoxemia (oxygen saturation less than 90%) in surgical patients exposed to prescription opioid shortages compared to propensity score-matched patients non-exposed to opioid shortages. Methods We conducted a retrospective study including adult patients who underwent elective surgery at The University of California San Francisco in the period August 2018–December 2019. We conducted a Gamma log-link generalized linear model to assess the effect of shortages on perioperative use of opioids and a weighted logistic regression to assess the likelihood of experiencing postoperative hypoxemia. Results There were 1119 patients exposed to opioid shortages and 2787 matched non-exposed patients. After full matching, patients exposed to shortages used a greater mean of morphine milligram equivalents/day (146.94; 95% confidence interval 123.96–174.16) than non-exposed patients (117.92; 95% confidence interval 100.48–138.38; p = 0.0001). The estimated effect was a 1.25 (95% confidence interval 1.12–1.40; p = 0.0001) times greater use of opioids in patients exposed to opioid shortages than non-exposed patients. After full matching, a greater proportion of patients exposed to shortages (19.06%) experienced hypoxemia compared with non-exposed patients (16.91%). In addition, a greater proportion of patients exposed to opioid shortages (1.20%) experienced hypoxemia reversed by intravenous naloxone administration compared with non-exposed patients (0.44%). Conclusions Given the shortage prevalence, reliance on opioid medications, and related risk of respiratory depression, harm prevention measures remain critical to prevent postoperative complications that may compromise patients' safety. View on the web Inoreader. Take back control of your news feed. Follow us on Twitter and Facebook.

Th17 cells and their related cytokines: vital players in progression of malignant pleural effusion

xlomafota.13 shared this article with you from Inoreader Th17 cells and their related cytokines: vital players in progression of malignant pleural effusion Via Latest Results for Cellular and Molecular Life Sciences Abstract Malignant pleural effusion (MPE) is an exudative effusion caused by primary or metastatic pleural carcinosis. Th17 cells and their cytokines are critical components in various disease including MPE. In this review, we summarize current published articles regarding the multifunctional roles of Th17 cells and their related cytokines in MPE. Th17 cells are accumulated in MPE compared with paired serum via certain manners. The upregulation of Th17 cells and the interactions between Th17 cells and other immune cells, such as Th1 cells, Th9 cells, regulatory T cells and B cells, are reported to be involved in the formation and development of MPE. In addition, cytokines, which are elaborated by Th17 cells, including IL-17A, IL-17F, IL-21, IL-22, IL-26, GM-CSF, or associated with Th17 cells differentiation, including IL-1β, IL-6, IL-23, TGF-β, are linked to the pathogenesis of MPE through exerting pro- or anti-tumorigenic functions on their own as well as regulating the generation and differentiation of Th17 cells in MPE. Based on these findings, we proposed that Th17 cells and their cytokines might be diagnostic or prognostic tools and potential therapeutic targets for MPE. View on the web Inoreader. Take back control of your news feed. Follow us on Twitter and Facebook.

Deep Learning Forecasts the Occurrence of Sleep Apnea from Single-Lead ECG

xlomafota.13 shared this article with you from Inoreader Deep Learning Forecasts the Occurrence of Sleep Apnea from Single-Lead ECG Via Latest Results for Cardiovascular Engineering and Technology Abstract Objectives Sleep apnea is the most common sleep disorder that leads to serious health complications if not treated early. Forecasting apnea occurrence ahead in time provides the opportunity to take appropriate actions to control and manage it. Methods A novel framework for forecasting the occurrence of apnea from single-lead electrocardiogram (ECG) based on deep recurrent neural networks is proposed. ECG R-peak amplitudes and R-R intervals are extracted and aligned using power spectral analysis, and recurrent deep learning models are developed to extract the most predictive ECG features and forecast the occurrence of apnea. Results The performance of the proposed approach was validated in forecasting apnea events up to five minutes in future on a dataset of 70 sleep recordings. A forecasting accuracy of up to 94.95% was achieved which was higher than the performance of conventional multilayer perceptron (p < 0.05) and other state-of-the-art techniques. Conclusions The proposed deep learning approach was successful in forecasting the occurrence of sleep apnea from single-lead ECG. It can therefore be adopted in wearable sleep monitors for the management of sleep apnea. Our developed algorithms are publicly available on GitHub. View on the web Inoreader. Take back control of your news feed. Follow us on Twitter and Facebook.