Abstract Background As peripheral nerve blockade has increased significantly over the past decade, resident education and exposure to peripheral nerve blocks has also increased. This survey assessed the levels of exposure and confidence that graduating residents have with performing selected peripheral nerve blocks. Methods All program directors of ACGME-accredited anesthesiology programs in the USA were asked to distribute an online survey to their graduating residents. Information was gathered on the number and types of nerve blocks performed, technique(s) utilized, perceived comfort level in performing nerve blocks, perceived quality of regional anesthesia teaching during residency, and suggested areas for improvement. Results One hundred and seven residents completed the survey. The majority completed more than 60 nerve blocks. Femoral and interscalene blocks were performed most frequently, with 59% and 41% of residents performing more than 20 of each procedure, respectively. The least-performed block was the lumber plexus block, with just 9% performing 20 or more blocks. Most residents reported feeling “very” to “somewhat” comfortable performing the surveyed blocks, with the exception of the lumber plexus block, where 64% were “not comfortable.” Overall, 78% of residents were “mostly” to “very satisfied” with the quality of education received during residency. Conclusions Most of the respondents fulfilled the ACGME requirement and expressed satisfaction with the peripheral nerve block education received during residency. However, the ACGME requirement for 40 nerve blocks may not be adequate for some residents to feel comfortable in performing a full range of blocks upon graduation. Many residents felt that curriculums incorporating simulator training and didactic lectures would be the most helpful method of improving the quality of their education pertaining to peripheral nerve blocks.

Background

Isoflurane exposure causes improvement in long-term neurocognitive function in young adult rats; this is associated with an increase in dentate gyrus (DG) progenitor proliferation 4 days after anesthesia. However, the number of new neurons that were born from cells that incorporated bromodeoxyuridine (BrdU) 4 days after anesthesia is not affected by anesthesia. We tested the hypothesis that progenitor proliferation continues to increase past 4 days, which would imply the possibility that the number of new neurons after anesthesia could be increased if BrdU labeling occurred at a later time point.

Methods

BrdU was injected at 0, 1, 2, 4, 9, 16 days after 4 hours of isoflurane exposure to 60-day old rats. Brains were harvested 2 hours later, immunohistochemically stained, and the number of BrdU+ cells in the DG was assessed microscopically.

Results

After 4 hours of exposure to isoflurane in 60-day old rats, the number of BrdU+ cells decreased on days 0 to 2, then increased on day 4 significantly, and regressed toward the control level on days 9 and 16.

Conclusions

Anesthesia-induced progenitor proliferation in the DG was not sustained 9 days after anesthesia. We interpret these results to signify that an anesthetic effect on neurogenesis likely does not play a critical role in the previously observed isoflurane-induced long-term improvement in neurocognitive function in 60-day old rats and that the transient increase in progenitor proliferation serves to replenish the pool of neural stem cells. The mechanism of anesthesia-induced improvement in cognition of young adult rats remains elusive.

Early detection of diseases such as COVID-19 could be a critical tool in reducing disease transmission by helping individuals recognize when they should self-isolate, seek testing, and obtain early medical intervention. Consumer wearable devices that continuously measure physiological metrics hold promise as tools for early illness detection. We gathered daily questionnaire data and physiological data using a consumer wearable (Oura Ring) from 63,153 participants, of whom 704 self-reported possible COVID-19 disease. We selected 73 of these 704 participants with reliable confirmation of COVID-19 by PCR testing and high-quality physiological data for algorithm training to identify onset of COVID-19 using machine learning classification. The algorithm identified COVID-19 an average of 2.75 days before participants sought diagnostic testing with a sensitivity of 82% and specificity of 63%. The receiving operating characteristic (ROC) area under the curve (AUC) was 0.819 (95% CI [0.809, 0.830]). Including continuous temperature yielded an AUC 4.9% higher than without this feature. For further validation, we obtained SARS CoV-2 antibody in a subset of participants and identified 10 additional participants who self-reported COVID-19 disease with antibody confirmation. The algorithm had an overall ROC AUC of 0.819 (95% CI [0.809, 0.830]), with a sensitivity of 90% and specificity of 80% in these additional participants. Finally, we observed substantial variation in accuracy based on age and biological sex. Findings highlight the importance of including temperature assessment, using continuous physiological features for alignment, and including diverse populations in algorithm development to optimize accuracy in COVID-19 detection from wearables.