A survey of self-reported use of cricoid pressure amongst Australian and New Zealand anaesthetists: Attitudes and practice

We conducted a survey of Australian and New Zealand anaesthetists designed to quantify self-reported use of cricoid pressure (CP) in patients presumed to be at risk of gastric regurgitation, and to ascertain the underlying justifications used to support individual practice. We aimed to identify the perceived benefits and harms associated with the use of CP and to explore the potential impact of medicolegal concerns on clinical decision-making. We also sought to ascertain the views of Australian and New Zealand anaesthetists on whether recommendations relating to CP should be included in airway management guidelines. We designed an electronic survey comprised of 15 questions that was emailed to 981 randomly selected Fellows of the Australian and New Zealand College of Anaesthetists (ANZCA) by the ANZCA Clinical Trials Network on behalf of the investigators. We received responses from 348 invitees (response rate 35.5%). Of the 348 respondents, 267 (76.9%) indicated that they would routinely use CP for patients determined to be at increased risk of gastric regurgitation. When asked whether participants believed the use of CP reduces the risk of gastric regurgitation, 39.8% indicated yes, 23.8% believed no and 36.3% were unsure. Of the respondents who indicated that they routinely performed CP, 159/267 (60%) indicated that concerns over the potential medicolegal consequences of omitting CP in a patient who subsequently aspirates was one of the main reasons for using CP. The majority (224/337; 66%) of respondents believed that recommendations about the use of CP in airway management guidelines should include individual practitioner judgement, while only 55/337 (16%) respondents believed that routine CP should be advocated in contemporary emergency airway management guidelines.

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Hemoglobin A1c and preoperative glycemia as a decision tool to help minimise sternal wound complications: a retrospective study in OPCAB patients

Journal of Cardiothoracic Surgery ◽

10.1186/s13019-021-01580-1 ◽

2021 ◽

Vol 16 (1) ◽

Author(s):

Jef Van den Eynde ◽

Abel Van Vlasselaer ◽

Annoushka Laenen ◽

Delphine Szecel ◽

Bart Meuris ◽

...

Keyword(s):

Retrospective Study ◽

Hemoglobin A1c ◽

Clinical Decision Making ◽

Artery Bypass ◽

Clinical Decision ◽

Wound Complications ◽

Minimal Risk ◽

Off Pump ◽

Increased Risk ◽

Diabetes Patients

Abstract Background Poor glycemic control has been associated with an increased risk of wound complications after various types of operations. However, it remains unclear how hemoglobin A1c (HbA1c) and preoperative glycemia can be used in clinical decision-making to prevent sternal wound complications (SWC) following off-pump coronary artery bypass grafting (OPCAB). Methods We conducted a retrospective study of 1774 consecutive patients who underwent OPCAB surgery between January 2010 and November 2016. A new four-grade classification for SWC was used. The associations of HbA1c and preoperative glycemia with incidence and grade of SWC were analysed using logistic regression analysis and proportional odds models, respectively. Results During a median follow-up of 326 days (interquartile range (IQR) 21–1261 days), SWC occurred in 133/1316 (10%) of non-diabetes and 82/458 (18%) of diabetes patients (p < 0.001). Higher HbA1c was significantly associated with a higher incidence of SWC (odds ratio, OR 1.24 per 1% increase, 95% confidence interval, CI 1.04;1.48, p = 0.016) as well as a higher grade of SWC (OR 1.25, 95% CI 1.06;1.48, p = 0.010). There was no association between glycemia and incidence (p = 0.539) nor grade (p = 0.607) of SWC. Significant modifiers of these effects were found: HbA1c was associated with SWC in diabetes patients younger than 70 years (OR 1.41, 95% CI 1.17;1.71, p < 0.001), whereas it was not in those older than 70 years. Glycemia was associated with SWC in patients who underwent non-urgent surgery (OR 2.48, 95% CI 1.26;4.88, p = 0.009), in diabetes patients who received skeletonised grafts (OR 4.83, 95% CI 1.28;18.17, p = 0.020), and in diabetes patients with a BMI < 30 (OR 2.19, 95% CI 1.01;4.76, p = 0.047), whereas it was not in the counterparts of these groups. Conclusions Under certain conditions, HbA1c and glycemia are associated SWC following OPCAB. These findings are helpful in planning the procedure with minimal risk of SWC.

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Choice of faecal immunochemical test matters: comparison of OC-Sensor and HM-JACKarc, in the assessment of patients at high risk of colorectal cancer

Clinical Chemistry and Laboratory Medicine (CCLM) ◽

10.1515/cclm-2020-1170 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Caroline J. Chapman ◽

Ayan Banerjea ◽

David J Humes ◽

Jaren Allen ◽

Simon Oliver ◽

...

Keyword(s):

Colorectal Cancer ◽

Clinical Decision Making ◽

Full Range ◽

Clinical Decision ◽

Detection Rates ◽

Faecal Immunochemical Test ◽

Specimen Collection ◽

Increased Risk ◽

Immunochemical Test

AbstractObjectivesCurrently, NICE recommends the use of faecal immunochemical test (FIT) at faecal haemoglobin concentrations (f-Hb) of 10 μg Hb/g faeces to stratify for colorectal cancer (CRC) risk in symptomatic populations. This f-Hb cut-off is advised across all analysers, despite the fact that a direct comparison of analyser performance, in a clinical setting, has not been performed.MethodsTwo specimen collection devices (OC-Sensor, OC-S; HM-JACKarc, HM-J) were sent to 914 consecutive individuals referred for follow up due to their increased risk of CRC. Agreement of f-Hb around cut-offs of 4, 10 and 150 µg Hb/g faeces and CRC detection rates were assessed. Two OC-S devices were sent to a further 114 individuals, for within test comparisons.ResultsA total of 732 (80.1%) individuals correctly completed and returned two different FIT devices, with 38 (5.2%) CRCs detected. Median f-Hb for individuals diagnosed with and without CRC were 258.5 and 1.8 µg Hb/g faeces for OC-S and 318.1 and 1.0 µg Hb/g faeces for HM-J respectively. Correlation of f-Hb results between OC-S/HM-J over the full range was rho=0.74, p<0.001. Using a f-Hb of 4 µg Hb/g faeces for both tests found an agreement of 88.1%, at 10 µg Hb/g faeces 91.7% and at 150 µg Hb/g faeces 96.3%. A total of 114 individuals completed and returned two OC-S devices; correlation across the full range was rho=0.98, p<0.001.ConclusionsWe found large variations in f-Hb when different FIT devices were used, but a smaller variation when the same FIT device was used. Our data suggest that analyser-specific f-Hb cut-offs are applied with regard to clinical decision making, especially at lower f-Hb.

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The Difficult Airway and Aerosol-Generating Procedures in COVID-19: Timeless Principles for Uncertain Times

Otolaryngology ◽

10.1177/0194599820936615 ◽

2020 ◽

Vol 163 (5) ◽

pp. 934-937 ◽

Cited By ~ 2

Author(s):

Joshua D. Smith ◽

Michelle M. Chen ◽

Karthik Balakrishnan ◽

Douglas R. Sidell ◽

Arianna di Stadio ◽

...

Keyword(s):

Airway Management ◽

Clinical Decision Making ◽

Care Delivery ◽

Clinical Decision ◽

Supraglottic Airway ◽

Fiberoptic Intubation ◽

Protective Equipment ◽

Trade Offs ◽

Airway Pathology ◽

The Impact

The impact of the COVID-19 pandemic on otolaryngology practice is nowhere more evident than in acute airway management. Considerations of preventing SARS-CoV-2 transmission, conserving personal protective equipment, and prioritizing care delivery based on acuity have dictated clinical decision making in the acute phase of the pandemic. With transition to a more chronic state of pandemic, heightened vigilance is necessary to recognize how deferral of care in patients with tenuous airways and COVID-19 infection may lead to acute airway compromise. Furthermore, it is critical to respect the continuing importance of flexible laryngoscopy in diagnosis. Safely managing airways during the pandemic requires thoughtful multidisciplinary planning. Teams should consider trade-offs among aerosol-generating procedures involving direct laryngoscopy, supraglottic airway use, fiberoptic intubation, and tracheostomy. We share clinical cases that illustrate enduring principles of acute airway management. As algorithms evolve, time-honored approaches for diagnosis and management of acute airway pathology remain essential in ensuring patient safety.

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An emerging epidemic: cancer and heart failure

Clinical Science ◽

10.1042/cs20160412 ◽

2016 ◽

Vol 131 (2) ◽

pp. 113-121 ◽

Cited By ~ 11

Author(s):

Paaladinesh Thavendiranathan ◽

Mark T. Nolan

Keyword(s):

Heart Failure ◽

Cancer Therapy ◽

Clinical Decision Making ◽

Prediction Models ◽

Clinical Decision ◽

Prevention Strategies ◽

Patients With Cancer ◽

Increased Risk ◽

Adult Cancer Survivors ◽

Shared Risk

Heart disease and cancer are the two leading causes of mortality globally. Cardiovascular complications of cancer therapy significantly contribute to the global burden of cardiovascular disease. Heart failure (HF) in particular is a relatively common and life-threatening complication. The increased risk is driven by the shared risk factors for cancer and HF, the direct impact of cancer therapy on the heart, an existing care gap in the cardiac care of patients with cancer and the increasing population of adult cancer survivors. The clear relationship between cancer treatment initiation and the potential for myocardial injury makes this population attractive for prevention strategies, targeted cardiovascular monitoring and treatment. However, there is currently no consensus on the optimal strategy for managing this at-risk population. Uniform treatment using cardioprotective medications may reduce the incidence of HF, but would impose frequently unnecessary and burdensome side effects. Ideally we could use validated risk-prediction models to target HF-preventive strategies, but currently no such models exist. In the present review, we focus on evidence and rationales for contemporary clinical decision-making in this novel field and discuss issues, including the burden of HF in patients with cancer, the reasons for the elevated risk and potential prevention strategies.

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Emergency airway management in Australian and New Zealand emergency departments: A multicentre descriptive study of 3710 emergency intubations

Emergency Medicine Australasia ◽

10.1111/1742-6723.12815 ◽

2017 ◽

Vol 29 (5) ◽

pp. 499-508 ◽

Cited By ~ 19

Author(s):

Hatem Alkhouri ◽

John Vassiliadis ◽

Matthew Murray ◽

John Mackenzie ◽

Alex Tzannes ◽

...

Keyword(s):

New Zealand ◽

Airway Management ◽

Emergency Departments ◽

Descriptive Study ◽

Emergency Airway Management ◽

Emergency Airway

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NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models

Journal of Artificial Intelligence Research ◽

10.1613/jair.1.12631 ◽

2021 ◽

Vol 72 ◽

pp. 429-474

Author(s):

Greg M. Silverman ◽

Himanshu S. Sahoo ◽

Nicholas E. Ingraham ◽

Monica Lupei ◽

Michael A. Puskarich ◽

...

Keyword(s):

Hospital Mortality ◽

Clinical Decision Making ◽

Quality Care ◽

Vital Signs ◽

Clinical Decision ◽

Prognostic Models ◽

P Value ◽

Rule Based ◽

Presenting Symptoms ◽

Increased Risk

Statistical modeling of outcomes based on a patient's presenting symptoms (symptomatology) can help deliver high quality care and allocate essential resources, which is especially important during the COVID-19 pandemic. Patient symptoms are typically found in unstructured notes, and thus not readily available for clinical decision making. In an attempt to fill this gap, this study compared two methods for symptom extraction from Emergency Department (ED) admission notes. Both methods utilized a lexicon derived by expanding The Center for Disease Control and Prevention's (CDC) Symptoms of Coronavirus list. The first method utilized a word2vec model to expand the lexicon using a dictionary mapping to the Uni ed Medical Language System (UMLS). The second method utilized the expanded lexicon as a rule-based gazetteer and the UMLS. These methods were evaluated against a manually annotated reference (f1-score of 0.87 for UMLS-based ensemble; and 0.85 for rule-based gazetteer with UMLS). Through analyses of associations of extracted symptoms used as features against various outcomes, salient risks among the population of COVID-19 patients, including increased risk of in-hospital mortality (OR 1.85, p-value < 0.001), were identified for patients presenting with dyspnea. Disparities between English and non-English speaking patients were also identified, the most salient being a concerning finding of opposing risk signals between fatigue and in-hospital mortality (non-English: OR 1.95, p-value = 0.02; English: OR 0.63, p-value = 0.01). While use of symptomatology for modeling of outcomes is not unique, unlike previous studies this study showed that models built using symptoms with the outcome of in-hospital mortality were not significantly different from models using data collected during an in-patient encounter (AUC of 0.9 with 95% CI of [0.88, 0.91] using only vital signs; AUC of 0.87 with 95% CI of [0.85, 0.88] using only symptoms). These findings indicate that prognostic models based on symptomatology could aid in extending COVID-19 patient care through telemedicine, replacing the need for in-person options. The methods presented in this study have potential for use in development of symptomatology-based models for other diseases, including for the study of Post-Acute Sequelae of COVID-19 (PASC).

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Association of low fasting C-peptide levels with cardiovascular risk, visit-to-visit glucose variation and severe hypoglycemia in the Veterans Affairs Diabetes Trial (VADT)

Cardiovascular Diabetology ◽

10.1186/s12933-021-01418-z ◽

2021 ◽

Vol 20 (1) ◽

Author(s):

Juraj Koska ◽

Daniel S. Nuyujukian ◽

Gideon D. Bahn ◽

Jin J. Zhou ◽

Peter D. Reaven

Keyword(s):

Type 2 Diabetes ◽

Clinical Decision Making ◽

Severe Hypoglycemia ◽

Clinical Decision ◽

Veterans Affairs ◽

Cvd Risk ◽

C Peptide ◽

Increased Risk ◽

Control Patterns

Abstract Aims Low C-peptide levels, indicating beta-cell dysfunction, are associated with increased within-day glucose variation and hypoglycemia. In advanced type 2 diabetes, severe hypoglycemia and increased glucose variation predict cardiovascular (CVD) risk. The present study examined the association between C-peptide levels and CVD risk and whether it can be explained by visit-to-visit glucose variation and severe hypoglycemia. Materials and methods Fasting C-peptide levels at baseline, composite CVD outcome, severe hypoglycemia, and visit-to-visit fasting glucose coefficient of variation (CV) and average real variability (ARV) were assessed in 1565 Veterans Affairs Diabetes Trial participants. Results There was a U-shaped relationship between C-peptide and CVD risk with increased risk with declining levels in the low range (< 0.50 nmol/l, HR 1.30 [95%CI 1.05–1.60], p = 0.02) and with rising levels in the high range (> 1.23 nmol/l, 1.27 [1.00–1.63], p = 0.05). C-peptide levels were inversely associated with the risk of severe hypoglycemia (OR 0.68 [0.60–0.77]) and visit-to-visit glucose variation (CV, standardized beta-estimate − 0.12 [SE 0.01]; ARV, − 0.10 [0.01]) (p < 0.0001 all). The association of low C-peptide levels with CVD risk was independent of cardiometabolic risk factors (1.48 [1.17–1.87, p = 0.001) and remained associated with CVD when tested in the same model with severe hypoglycemia and glucose CV. Conclusions Low C-peptide levels were associated with increased CVD risk in advanced type 2 diabetes. The association was independent of increases in glucose variation or severe hypoglycemia. C-peptide levels may predict future glucose control patterns and CVD risk, and identify phenotypes influencing clinical decision making in advanced type 2 diabetes.

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New Zealand paramedics are ready for an autonomous pre-hospital thrombolysis protocol

Australasian Journal of Paramedicine ◽

10.33151/ajp.14.3.244 ◽

2017 ◽

Vol 14 (3) ◽

Author(s):

Paul Davis ◽

Graham Howie ◽

Bridget Dicker

Keyword(s):

Decision Making ◽

New Zealand ◽

Clinical Decision Making ◽

Life Support ◽

Advanced Life Support ◽

Clinical Decision ◽

Multiple Choice Questions ◽

Common Error ◽

Paramedic Education ◽

Written Test

IntroductionInternationally, autonomous paramedic-delivered pre-hospital thrombolysis (PHT) administration for ST-elevation myocardial infarction patients has proven to be a highly effective strategy in facilitating expedited delivery of this treatment modality. However, current New Zealand models rely on physician authorised telemetry-based systems which have proved problematic, particularly due to technological failings. The aim of this study is to establish whether current paramedic education in New Zealand is sufficient for the introduction of an autonomous paramedic clinical decision-making model of PHT.MethodsA one-hour workshop introduced a new PHT protocol to 81 self-selected paramedic participants – both rural and metropolitan based – from New Zealand. Paramedics were then tested in protocol application through completion of a scenario-based standardised written test. Four written scenarios constructed from actual field cases assessed 12-lead electrocardiogram interpretation, understanding of protocol inclusion/exclusion criteria, and treatment rationale. Ten multiple-choice questions further tested cardiac and pharmacology knowledge as well as protocol application.Results Overall clinical decision-making showed a sensitivity of 92.0% (95% CI: 84.8–96.5), and a specificity of 95.6% (95% CI: 89.1–98.8). Electrocardiogram misinterpretation was the most common error. University educated paramedics (n=44) were significantly better at clinical decision-making than in-house industry trained paramedics (n=37) (p=0.001), as were advanced life support paramedics (n=36) compared to paramedics of lesser practice levels (n=45) (p=0.006).Conclusion Our New Zealand paramedic sample demonstrated an overall clinical decision-making capacity sufficient to support the introduction of a new autonomous paramedic PHT protocol. Recent changes in paramedic education toward university degree programs are supported.

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Mortality risk of surgically managing orthopaedic trauma during the COVID-19 pandemic

Bone & Joint Open ◽

10.1302/2633-1462.25.bjo-2020-0189.r1 ◽

2021 ◽

Vol 2 (5) ◽

pp. 330-336

Author(s):

Balasubramanian Balakumar ◽

Rajpal S. Nandra ◽

Hugo Woffenden ◽

Benjamin Atkin ◽

Ansar Mahmood ◽

...

Keyword(s):

Length Of Stay ◽

Mortality Risk ◽

Clinical Decision Making ◽

Significant Risk ◽

Resource Planning ◽

Clinical Decision ◽

Primary Outcome Measure ◽

Neck Of Femur ◽

Increased Risk ◽

Multiple Variables

Aims It is imperative to understand the risks of operating on urgent cases during the COVID-19 (SARS-Cov-2 virus) pandemic for clinical decision-making and medical resource planning. The primary aim was to determine the mortality risk and associated variables when operating on urgent cases during the COVID-19 pandemic. The secondary objective was to assess differences in the outcome of patients treated between sites treating COVID-19 and a separate surgical site. Methods The primary outcome measure was 30-day mortality. Secondary measures included complications of surgery, COVID-19 infection, and length of stay. Multiple variables were assessed for their contribution to the 30-day mortality. In total, 433 patients were included with a mean age of 65 years; 45% were male, and 90% were Caucasian. Results Overall mortality was 7.6% for all patients and 15.9% for femoral neck fractures. The mortality rate increased from 7.5% to 44.2% in patients with fracture neck of femur and a COVID-19 infection. The COVID-19 rate in the 30-day postoperative period was 11%. COVID-19 infection, age, and Charlson Comorbidity Index were independent risk factor for mortality. Conclusion There was a significant risk of contracting COVID-19 due to being admitted to hospital. Using a site which was not treating COVID-19 respiratory patients for surgery did not identify a difference with respect to mortality, nosocomial COVID-19 infection, or length of stay. The COVID-19 pandemic significantly increases perioperative mortality risk in patients with fractured neck of femora but patients with other injuries were not at increased risk. Cite this article: Bone Jt Open 2021;2(5):330–336.

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Development and Validation of a Simplified Risk Score for the Prediction of Critical COVID-19 Illness in Newly Diagnosed Patients

10.1101/2021.02.07.21251260 ◽

2021 ◽

Author(s):

Stanislas Werfel ◽

Carolin E. M. Jakob ◽

Stefan Borgmann ◽

Jochen Schneider ◽

Christoph Spinner ◽

...

Keyword(s):

Critical Illness ◽

Clinical Decision Making ◽

Validation Cohort ◽

Predictive Accuracy ◽

Clinical Decision ◽

Increased Risk ◽

Risk Of Progression ◽

Risk Of Disease ◽

Development And Validation

AbstractScores for identifying patients at high risk of progression of the coronavirus disease 2019 (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), are discussed as key instruments for clinical decision-making and patient management during the current pandemic.Here we used the patient data from the multicenter Lean European Open Survey on SARS-CoV-2 - Infected Patients (LEOSS) and applied a technique of variable selection in order to develop a simplified score to identify patients at increased risk of critical illness or death.A total of 1,946 patients, who were tested positive for SARS-CoV-2 were included in the initial analysis. They were split into a derivation and a validation cohort (n=1,297 and 649, respectively). A stability selection among a total of 105 baseline predictors for the combined endpoint of progression to critical phase or COVID-19-related death allowed us to develop a simplified score consisting of five predictors: CRP, Age, clinical disease phase (uncomplicated vs. complicated), serum urea and D-dimer (abbreviated as CAPS-D score). This score showed an AUC of 0.81 (CI95%: 0.77-0.85) in the validation cohort for predicting the combined endpoint within 7 days of diagnosis and 0.81 (CI95%: 0.77-0.85) during the full follow-up. Finally, we used an additional prospective cohort of 682 patients, who were diagnosed largely after the “first wave” of the pandemic to validate predictive accuracy of the score, observing similar results (AUC for an event within 7 days: 0.83, CI95%, 0.78-0.87; for full follow-up: 0.82, CI95%, 0.78-0.86).We thus successfully establish and validate an easily applicable score to calculate the risk of disease progression of COVID-19 to critical illness or death.

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