Preoperative Risk Stratification in Esophageal Cancer Surgery: Comparing Risk Models with the Clinical Judgment of the Surgeon.

BACKGROUND: Numerous prediction models estimating the risk of complications after esophagectomy exist but are rarely used in practice. The aim of this study was to compare the clinical judgment of surgeons using these prediction models. METHODS: Patients with resectable esophageal cancer who underwent an esophagectomy were included in this prospective study. Prediction models for postoperative complications after esophagectomy were selected by a systematic literature search. Clinical judgment was given by three surgeons, indicating their estimated risk for postoperative complications in percentage categories. The best performing prediction model was compared with the judgment of the surgeons, using the net reclassification improvement (NRI), category-free NRI (cfNRI), and integrated discrimination improvement (IDI) indexes. RESULTS: Overall, 159 patients were included between March 2019 and July 2021, of whom 88 patients (55%) developed a complication. The best performing prediction model showed an area under the receiver operating characteristic curve (AUC) of 0.56. The three surgeons had an AUC of 0.53, 0.55, and 0.59, respectively, and all surgeons showed negative percentages of cfNRIevents and IDIevents, and positive percentages of cfNRInonevents and IDIevents. This indicates that in the group of patients with postoperative complications, the prediction model performed better, whereas in the group of patients without postoperative complications, the surgeons performed better. NRIoverall was 18% for one surgeon, while the remainder of the NRIoverall, cfNRIoverall and IDIoverall scores showed small differences between surgeons and the prediction models. CONCLUSION: Prediction models tend to overestimate the risk of any complication, whereas surgeons tend to underestimate this risk. Overall, surgeons' estimations differ between surgeons and vary between similar to slightly better than the prediction models.

Understanding the nervous system: lessons from Frontiers in Neurophotonics.

The Frontiers in Neurophotonics Symposium is a biennial event that brings together neurobiologists and physicists/engineers who share interest in the development of leading-edge photonics-based approaches to understand and manipulate the nervous system, from its individual molecular components to complex networks in the intact brain. In this Community paper, we highlight several topics that have been featured at the symposium that took place in October 2022 in Québec City, Canada.

Why women choose self-managed telemedicine abortion in the Netherlands during the COVID-19 pandemic: a national mixed methods study.

BACKGROUND: The COVID-19 pandemic has imposed strict lockdown restrictions that have introduced barriers to in-person abortion clinic visits in the Netherlands. Women on Web (WoW) is a global medical abortion telemedicine service operating outside the formal health sector. AIM: To understand the motivations and perceived barriers women faced when choosing telemedicine abortion outside the formal health sector, and how this was affected by the pandemic. METHODS: 178 women who completed an online consultation on the Dutch WoW website during the period 6 March 2020 to 5 March 2021 were included in this cross-sectional cohort study and exploratory qualitative study. Patient characteristics and motivations were analysed and associated with the severity of COVID-19 restrictions. Email exchanges in which women could further describe their requests were also examined for recurrent clarification of motivations. RESULTS: Women experienced barriers to regular abortion care due to COVID-19 restrictions and had the preference to (1) self-manage their abortion, (2) stay in the comfort of their own home, and (3) keep their abortion private. In particular, women who did not live in the cities where abortion clinics were located experienced barriers to abortion services. As COVID-19 restrictions tightened, it was more frequently mentioned that women sought help from WoW because COVID-19 restrictions and abortion care were not accessible to them in the Netherlands. In the qualitative analysis of email exchanges, the reasons of COVID-19, privacy concerns, and domestic violence were particularly evident. CONCLUSIONS: In the Netherlands, barriers to receiving adequate abortion care were exacerbated for women in vulnerable positions such as being geographically farther away from an abortion clinic, being in a deprived socioeconomic position, or being in an unsafe home situation. Similar to other medical care, abortion care should be deliverable online.

Tutorial: multiphoton microscopy to advance neuroscience research.

Multiphoton microscopy (MPM) employs ultrafast infrared lasers for high-resolution deep three-dimensional imaging of live biological samples. The goal of this tutorial is to provide a practical guide to MPM imaging for novice microscopy developers and life-science users. Principles of MPM, microscope setup, and labeling strategies are discussed. Use of MPM to achieve unprecedented imaging depth of whole mounted explants and intravital imaging via implantable glass windows of the mammalian nervous system is demonstrated.

Successful treatment of sleep paralysis with the Sleep Position Trainer: a case report.

Sleep paralysis is a period of paralysis at either sleep onset or upon awakening and is often accompanied by terrifying hallucinations. We report a case of a 32-year-old healthy men with a history of mild positional obstructive sleep apnea and sleep paralysis. The positional sleep apnea was successfully treated with the Sleep Position Trainer. Remarkably, he did no longer experience episodes of sleep paralysis since using the Sleep Position Trainer. This case highlights a possible elegant noninvasive long-term solution for the treatment of sleep paralysis. CITATION: Cui N, van Looij MA, Kasius KM. Successful treatment of sleep paralysis with the Sleep Position Trainer: a case report. J Clin Sleep Med. 2022;18(9):2317-2319.