The impact of a medically directed student registered nurse anesthesia staffing model on Postprocedural patient outcomes.

STUDY OBJECTIVE: In 2018, the American Society of Anesthesiologists stated that student registered nurse anesthetists (SRNAs) "are not yet fully qualified anesthesia personnel." It remains unclear, however, whether postprocedural outcomes are affected by SRNAs providing anesthesia care under the medical direction of anesthesiologists, as compared with medically directed anesthesiology fellows or residents, or certified registered nurse anesthetists (CRNAs). We therefore aimed to examine whether medically directed SRNAs serving as in-room anesthesia providers impact surgical outcomes. DESIGN: Retrospective, matched-cohort analysis. SETTING: Adult patients (≥18 years old) undergoing inpatient surgery between 2000 and 2017 at a tertiary academic medical center. PATIENTS: 15,365 patients exclusively cared for by medically directed SRNAs were matched to 15,365 cared for by medically directed CRNAs, anesthesiology residents, and/or fellows. INTERVENTIONS: None. MEASUREMENTS: The primary composite outcome was postoperative occurrence of in-hospital mortality and six categories of major morbidities (infectious, bleeding, serious cardiac, gastrointestinal, respiratory, and urinary complications). In-hospital mortality was analyzed as the secondary outcome. MAIN RESULTS: In all, 30,730 cases were matched using propensity score matching to control for potential confounding. The primary outcome was identified in 2295 (7.5%) cases (7.5% with exclusive medically directed SRNAs vs 7.4% with medically directed CRNAs, residents and/or fellows; relative risk, 1.02; 95% CI, 0.94-1.11). Thus, our effort to determine noninferiority (10% difference in relative risk) with other providers was inconclusive (P = .07). However, the medically directed SRNA group (0.8% [118]) was found to be noninferior (P < .001) to the matched group (1.0% [156]) on in-hospital mortality (relative risk, 0.75; 95% CI, 0.59-0.96). CONCLUSIONS: Among 30,730 patients undergoing inpatient surgery at a single hospital, findings were inconclusive regarding whether exclusive medically directed SRNAs as in-room providers were noninferior to other providers. The use of medically directed SRNAs under this staffing model should be subject to further review. Clinical Trial and Registry URL: Not applicable.

Reduction of adverse events in a psychiatric inpatient eating disorder unit during the COVID-19 pandemic.

TOPIC: Globally, the COVID-19 pandemic had impacted the health care delivery including inpatient psychiatric facilities. Within psychiatric settings, life of inpatients was profoundly altered. PURPOSE: This paper aimed to understand if pandemic-related changes within an inpatient Eating Disorder Unit in a specialized psychiatric hospital in Ontario, Canada impacted incidence of aggression and use of coercive methods among adolescents. SOURCE USED: An exploratory study design was used to examine incidence of aggression, self-harm, code whites, staff assist, restraints and seclusion, and nasogastric feeding (NGF) among adolescents with eating disorders before and after the modified service delivery within the inpatient unit. Descriptive analyses were conducted. RESULTS: Analyses revealed a complete reduction in episodes of self-harm, aggression, staff assists, use of restraint and seclusion as well as an 80.14% reduction on average use of NGF. CONCLUSION: Authors speculate that the change in environment and program delivery method, peer influence, and shift in power relations between patient and staff may have resulted in improved experiences. This report provides insights to adopt a recovery-oriented service delivery for adolescents with eating disorders in inpatient settings.

Gaussian-Distributed Spread-Spectrum for Covert Communications.

Covert communication techniques play a crucial role in military and commercial applications to maintain the privacy and security of wireless transmissions from prying eyes. These techniques ensure that adversaries cannot detect or exploit the existence of such transmissions. Covert communications, also known as low probability of detection (LPD) communication, are instrumental in preventing attacks such as eavesdropping, jamming, or interference that could compromise the confidentiality, integrity, and availability of wireless communication. Direct-sequence spread-spectrum (DSSS) is a widely used covert communication scheme that expands the bandwidth to mitigate interference and hostile detection effects, reducing the signal power spectral density (PSD) to a low level. However, DSSS signals possess cyclostationary random properties that an adversary can exploit using cyclic spectral analysis to extract useful features from the transmitted signal. These features can then be used to detect and analyse the signal, making it more susceptible to electronic attacks such as jamming. To overcome this problem, a method to randomise the transmitted signal and reduce its cyclic features is proposed in this paper. This method produces a signal with a probability density function (PDF) similar to thermal noise, which masks the signal constellation to appear as thermal white noise to unintended receivers. This proposed scheme, called Gaussian distributed spread-spectrum (GDSS), is designed such that the receiver does not need to know any information about the thermal white noise used to mask the transmit signal to recover the message. The paper presents the details of the proposed scheme and investigates its performance in comparison to the standard DSSS system. This study used three detectors, namely, a high-order moments based detector, a modulation stripping detector, and a spectral correlation detector, to evaluate the detectability of the proposed scheme. The detectors were applied to noisy signals, and the results revealed that the moment-based detector failed to detect the GDSS signal with a spreading factor, N = 256 at all signal-to-noise ratios (SNRs), whereas it could detect the DSSS signals up to an SNR of -12 dB. The results obtained using the modulation stripping detector showed no significant phase distribution convergence for the GDSS signals, similar to the noise-only case, whereas the DSSS signals generated a phase distribution with a distinct shape, indicating the presence of a valid signal. Additionally, the spectral correlation detector applied to the GDSS signal at an SNR of -12 dB showed no identifiable peaks on the spectrum, providing further evidence of the effectiveness of the GDSS scheme and making it a favourable choice for covert communication applications. A semi-analytical calculation of the bit error rate is also presented for the uncoded system. The investigation results show that the GDSS scheme can generate a noise-like signal with reduced identifiable features, making it a superior solution for covert communication. However, achieving this comes at a cost of approximately 2 dB on the signal-to-noise ratio.

Silver linings: Observed reductions in aggression and use of restraints and seclusion in psychiatric inpatient care during COVID-19.

WHAT IS KNOWN ABOUT THE SUBJECT?: In a survey conducted by the World Health Organization (WHO) in the summer of 2020, 93% of countries worldwide acknowledged negative impacts on their mental health services. Previous research during the H1N1 pandemic in 2009 established an increase of patient aggression in psychiatric facilities. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: Despite expected worsening of mental health, our hospital observed reductions in aggressive behaviour among inpatients and subsequent use of coercive interventions by staff in the months following Covid-19 pandemic restrictions being implemented. The downward trend in incidents observed during the pandemic has suggested that aggression in mental health hospitals may be more situation-specific and less so a factor of mental illness. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: We believe that the reduction in aggressive behaviour observed during the pandemic is related to changes in our organization that occurred in response to concerns about patient well-being; our co-design approach shifted trust, choice and power. Therefore, practices that support these constructs are needed to maintain the outcomes we experienced. Rather than return to normal in the wake of the pandemic, we are strongly encouraged to sustain the changes we made and continue to find better ways to support and work with the individuals who rely on or use our services. ABSTRACT: The global COVID-19 pandemic has dramatically changed the operation of health care such that many services were put on hold as patients were triaged differently, people delayed seeking care, and transition to virtual care was enacted, including in psychiatric facilities. Most of the media dialogue has been negative; however, there have been some silver linings observed. Coinciding with the pandemic has been a reduction in aggressive incidents at our psychiatric hospital, along with the decreased need to use restraints and seclusion to manage behaviour. In this paper, we are taking stock of the changes that have occurred in response to the pandemic in an attempt to share our learnings and offer suggestions so that health care does not necessarily return to "normal".

Extracting knowledge networks from plant scientific literature: potato tuber flesh color as an exemplary trait.

BACKGROUND: Scientific literature carries a wealth of information crucial for research, but only a fraction of it is present as structured information in databases and therefore can be analyzed using traditional data analysis tools. Natural language processing (NLP) is often and successfully employed to support humans by distilling relevant information from large corpora of free text and structuring it in a way that lends itself to further computational analyses. For this pilot, we developed a pipeline that uses NLP on biological literature to produce knowledge networks. We focused on the flesh color of potato, a well-studied trait with known associations, and we investigated whether these knowledge networks can assist us in formulating new hypotheses on the underlying biological processes. RESULTS: We trained an NLP model based on a manually annotated corpus of 34 full-text potato articles, to recognize relevant biological entities and relationships between them in text (genes, proteins, metabolites and traits). This model detected the number of biological entities with a precision of 97.65% and a recall of 88.91% on the training set. We conducted a time series analysis on 4023 PubMed abstract of plant genetics-based articles which focus on 4 major Solanaceous crops (tomato, potato, eggplant and capsicum), to determine that the networks contained both previously known and contemporaneously unknown leads to subsequently discovered biological phenomena relating to flesh color. A novel time-based analysis of these networks indicates a connection between our trait and a candidate gene (zeaxanthin epoxidase) already two years prior to explicit statements of that connection in the literature. CONCLUSIONS: Our time-based analysis indicates that network-assisted hypothesis generation shows promise for knowledge discovery, data integration and hypothesis generation in scientific research.

The Clinical Use of Cricoid Pressure: First, Do No Harm.

Application of cricoid pressure (CP) during rapid sequence induction and intubation sequence has been a "standard" of care for many decades, despite limited scientific proof of its efficacy in preventing pulmonary aspiration of gastric contents. While some of the current rapid sequence induction and intubation guidelines recommend its use, other international guidelines do not, and many clinicians argue that there is insufficient evidence to either continue or abandon its use. Recently published articles and accompanying editorials have reignited the debate on the efficacy and safety of CP application and have generated multiple responses that pointed out the various (and significant) limitations of the available evidence. Thus, a critical discussion of available data must be undertaken before making a final clinical decision on such an important patient safety issue. In this review, the authors will take an objective look at the available scientific evidence about the effectiveness and safety of CP in patients at risk of pulmonary aspiration of gastric contents. We suggest that current data are inadequate to impose clinical guidelines on the use of CP because we acknowledge that currently there is not, and there may never be, a method to prevent aspiration in all patients. In addition, we reiterate that a universally accepted medical-legal standard for approaching the high-risk aspiration patient does not exist, discuss the differences in practice between the US and international practitioners regarding use of CP, and propose 5 recommendations on how future studies might be designed to obtain optimal scientific evidence about the effectiveness and safety of CP in patients at risk for pulmonary aspiration.

Role of rural general surgeons in managing vascular surgical emergencies.

BACKGROUND: A rural general surgeon has historically been required to perform a wide variety of subspecialist procedures. Increasingly sub-specialized training programs have restricted younger surgeons' experience in the general surgery-associated subspecialties. Time critical vascular surgical emergencies are frequently encountered by rural general surgeons. This study aims to audit the prevalence of vascular surgical emergencies at a geographically remote regional centre and define the role of the general surgeon in managing these patients. METHODS: A single-centre, retrospective study was performed to analyse the outcomes of the patients who presented to Dubbo Base Hospital with an emergency vascular pathology or developed such a condition during admission, between October 2010 and June 2019. Patients were identified by relevant International classification of diseases (ICD) (10th revision) diagnostic codes for vascular emergencies. Acute complications following surgery for haemodialysis access were excluded. RESULTS: A total of 134 patients were identified during the study period and the majority were transferred to a tertiary centre for surgical intervention. Sixteen patients underwent emergency vascular surgery locally due to concerns about potential loss of life or limb if intervention was delayed by transfer; 69% of patients who underwent surgery locally survived with limb salvation. CONCLUSION: While most patients can safely be transferred to a tertiary centre, some require surgery locally in order to maximize chance of life or limb preservation. There is a strong argument for exposure of general surgical trainees with an interest in rural surgery to vascular surgery and other subspecialties.

The YSI 2300 Analyzer Replacement Meeting Report.

This is a summary report of the most important aspects discussed during the YSI 2300 Analyzer Replacement Meeting. The aim is to provide the interested reader with an overview of the complex topic and propose solutions for the current issue. This solution should not only be adequate for the United States or Europe markets but also for all other countries. The meeting addendum presents three outcomes of the meeting.

The End of the Road for the YSI 2300 Analyzer: Where Do We Go Now?

Production of the YSI 2300 STAT PLUS Glucose and l-Lactate Analyzer (YSI Incorporated, Yellow Springs, OH, United States) has been discontinued. This benchtop instrument is the most widely used device for determining the accuracy of products that measure blood glucose and interstitial fluid glucose. An alternate comparator instrument must now be identified by the diabetes diagnostics industry. The available products should be reviewed by parties interested in accurate, fast, low-cost comparator benchtop, or portable (nonstrip) methods using small sample volumes with good ease-of-use and human factors. Stakeholders include glucose monitor manufacturers, test labs, clinical chemists, diabetes clinicians, professional organizations, and regulators. This article presents features of eleven possible alternative instruments to be considered as comparator methods for measuring the accuracy of glucose monitors.

Hyperglycemia as a risk factor for postoperative early wound infection after bicondylar tibial plateau fractures: Determining a predictive model based on four methods.

OBJECTIVES: Identify a glucose threshold that would put patients with isolated bicondylar tibial plateau fractures at risk of early wound infection (i.e. < 90 days). DESIGN: Retrospective review of medical records. SETTING: Academic American College of Surgeons (ACS) Level 1 trauma center. PATIENTS: Adult patients between 2010 and 2015 with an operatively treated isolated bicondylar tibial plateau fracture and at least three glucose measurements during their hospitalization. MAIN OUTCOME MEASUREMENT: To predict infection using four different methods: maximum preoperative blood glucose (PBG), maximum blood glucose (MGB), Hyperglycemic Index (HGI), and Time-Weighted Average Glucose (TWAG). RESULTS: 126/381 patients met our inclusion criteria. Fifteen (12%) patients had an open fracture and 30/126 (23%) developed an infection. Median glucose for each predictive method studied was 114 (IQR 101.2-137.8) mg/dL for PBG, 144 (IQR 119-169.8) mg/dL for MBG, 0.8 (IQR 0.20-1.60) mmol/L for HGI, and 120.4 (IQR 106.0-135.6) mg/dL for TWAG. As expected, infected patients had higher PBG, MGB, and TWAG. HGI was similar in both groups. None of these differences prove to be statistically significant (p > .05). Logistic regression models for all the methods showed that having an open fracture was the strongest predictor of infection. CONCLUSION: It is well known that stress-induced hyperglycemia increases the risk of infection, we present and compare four models that have been used in other medical fields. In our study, none of the methods presented identified a glucose threshold that would increase the risk of infection in patients with bicondylar tibial plateau fractures. LEVEL OF EVIDENCE: Retrospective review, Level III. See Instructions for Authors for a complete description of levels of evidence.

Mild Cognitive Impairment and Decline in Resting State Functional Connectivity after Total Knee Arthroplasty with General Anesthesia.

BACKGROUND: Research shows that older adults can have a decline in three key resting state networks (default mode network, central executive network, and salience network) after total knee arthroplasty and that patients' pre-surgery brain and cognitive integrity predicts decline. OBJECTIVES: First, to assess resting state network connectivity decline from the perspective of nodal connectivity changes in a larger older adult surgery sample. Second, to compare pre-post functional connectivity changes in mild cognitive impairment (MCI) versus non-MCI. METHODS: Surgery (n = 69) and non-surgery (n = 65) peers completed a comprehensive preoperative neuropsychological evaluation and pre- and acute (within 48 hours) post-surgery/pseudo-surgery functional brain magnetic resonance imaging scan. MCI was classified within both (MCI surgery, n = 13; MCI non-surgery, n = 10). Using standard coordinates, we defined default mode network, salience network, central executive network, and the visual network (serving as a control network). The functional connectivity of these networks and brain areas (nodes) that make up these networks were examined for pre-post-surgery changes through paired samples t-test and ANOVA. RESULTS: There was a decline in RSN connectivity after surgery (p < 0.05) only in the three cognitive networks (not the visual network). The default mode and salience network showed nodal connectivity changes (p < 0.01). MCI surgery had greater functional connectivity decline in DMN and SN. Non-surgery participants showed no significant functional connectivity change. CONCLUSION: Surgery with general anesthesia selectively alters functional connectivity in major cognitive resting state networks particularly in DMN and SN. Participants with MCI appear more vulnerable to these functional changes.