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- Björkelund, Anders, et al.
(author)
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Machine learning compared with rule‐in/rule‐out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations
- 2021
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In: Journal of the American College of Emergency Physicians Open. - Hoboken, NJ : John Wiley & Sons. - 2688-1152. ; 2:2
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Journal article (peer-reviewed)abstract
- AbstractObjectiveComputerized decision-support tools may improve diagnosis of acute myocardial infarction (AMI) among patients presenting with chest pain at the emergency department (ED). The primary aim was to assess the predictive accuracy of machine learning algorithms based on paired high-sensitivity cardiac troponin T (hs-cTnT) concentrations with varying sampling times, age, and sex in order to rule in or out AMI.MethodsIn this register-based, cross-sectional diagnostic study conducted retrospectively based on 5695 chest pain patients at 2 hospitals in Sweden 2013–2014 we used 5-fold cross-validation 200 times in order to compare the performance of an artificial neural network (ANN) with European guideline-recommended 0/1- and 0/3-hour algorithms for hs-cTnT and with logistic regression without interaction terms. Primary outcome was the size of the intermediate risk group where AMI could not be ruled in or out, while holding the sensitivity (rule-out) and specificity (rule-in) constant across models.ResultsANN and logistic regression had similar (95%) areas under the receiver operating characteristics curve. In patients (n = 4171) where the timing requirements (0/1 or 0/3 hour) for the sampling were met, using ANN led to a relative decrease of 9.2% (95% confidence interval 4.4% to 13.8%; from 24.5% to 22.2% of all tested patients) in the size of the intermediate group compared to the recommended algorithms. By contrast, using logistic regression did not substantially decrease the size of the intermediate group.ConclusionMachine learning algorithms allow for flexibility in sampling and have the potential to improve risk assessment among chest pain patients at the ED.
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- Crilly, Julia, et al.
(author)
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Research priority setting in emergency care : A scoping review
- 2022
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In: Journal of the American college of emergency physicians open. - : Wiley. - 2688-1152. ; 3:6
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Research review (peer-reviewed)abstract
- Objective: Priority areas for emergency care research are emerging and becoming ever more important. The objectives of this scoping review were to (1) provide a comprehensive overview of published emergency care priority-setting studies by collating and comparing priority-setting methodology and (2) describe the resulting research priorities identified. Methods: The Joanna Briggs Institute methodological framework was used. Inclusion criteria were peer-review articles available in English, published between January 1, 2008 and March 31, 2019 and used 2 or more search terms. Five databases (Scopus, AustHealth, EMBASE, CINAHL, and Ovid MEDLINE) were searched. REporting guideline for PRIority SEtting of health research (REPRISE) criteria were used to assess the quality of evidence of included articles. Results: Forty-five studies were included. Fourteen themes for emergency care research were considered within 3 overarching research domains: emergency populations (pediatrics, geriatrics), emergency care workforce and processes (nursing, shared decision making, general workforce, and process), and emergency care clinical areas (imaging, falls, pain management, trauma care, substance misuse, infectious diseases, mental health, cardiology, general clinical care). Variation in the reporting of research priority areas was evident. Priority areas to drive the global agenda for emergency care research are limited given the country and professional group-specific context of existing studies. Conclusion: This comprehensive summary of generated research priorities across emergency care provides insight into current and future research agendas. With the nature of emergency care being inherently broad, future priorities may warrant population (eg, children, geriatrics) or subspecialty (eg, trauma, toxicology, mental health) focus and be derived using a rigorous framework and patient engagement.
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- Levy, Michael, et al.
(author)
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Metrics of mechanical chest compression device use in out‐of‐hospital cardiac arrest
- 2020
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In: Journal of the American college of emergency physicians open. - : Wiley. - 2688-1152. ; 1:6, s. 1214-1221
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Journal article (peer-reviewed)abstract
- ObjectiveThe quality of cardiopulmonary resuscitation (CPR) affects outcomes from cardiac arrest, yet manual CPR is difficult to administer. Although mechanical CPR (mCPR) devices offer high quality CPR, only limited data describe their deployment, their interaction with standard manual CPR (sCPR), and the consequent effects on chest compression continuity and patient outcomes. We sought to describe the interaction between sCPR and mCPR and the impact of the sCPR‐mCPR transition upon outcomes in adult out‐of‐hospital cardiac arrest (OHCA).MethodsWe analyzed all adult ventricular fibrillation OHCA treated by the Anchorage Fire Department (AFD) during calendar year 2016. AFD protocols include the immediate initiation of sCPR upon rescuer arrival and transition to mCPR, guided by patient status. We compared CPR timing, performance, and outcomes between those receiving sCPR only and those receiving sCPR transitioning to mCPR (sCPR + mCPR).ResultsAll 19 sCPR‐only patients achieved return of spontaneous circulation (ROSC) after a median of 3.3 (interquartile range 2.2–5.1) minutes. Among 30 patients remaining pulseless after sCPR (median 6.9 [5.3–11.0] minutes), transition to mCPR occurred with a median chest compression interruption of 7 (5–13) seconds. Twenty‐one of 30 sCPR + mCPR patients achieved ROSC after a median of 11.2 (5.7–23.8) additional minutes of mCPR. Survival differed between groups: sCPR only 14/19 (74%) versus sCPR + mCPR 13/30 (43%), P = 0.045. ConclusionIn this series, transition to mCPR occurred in patients unresponsive to initial sCPR with only brief interruptions in chest compressions. Assessment of mCPR must consider the interactions with sCPR.
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- Wretborn, Jens, et al.
(author)
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Differentiating properties of occupancy rate and workload to estimate crowding : A Swedish national cross-sectional study
- 2022
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In: Journal of the American College of Emergency Physicians Open. - : Wiley. - 2688-1152. ; 3:1
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Journal article (peer-reviewed)abstract
- Background Emergency department (ED) crowding causes increased patient morbidity and mortality. ED occupancy rate (OR; patients by treatment beds) is a common measure of crowding, but the comparability of ORs between EDs is unknown. The objective of this investigation was to investigate differences in ORs between EDs using staff-perceived workload as reference. Methods This was a national cross-sectional study in Sweden. EDs provided data on census, treatment beds, staffing, and workload (1-6) at 5 time points. A baseline patient turnover was calculated as the average daily census by treatment beds, denoted turnover per treatment bed (TTB), for each ED. A census ratio (CR), current by daily census, was calculated to adjust for differences in the number of treatment beds. Results Data were returned from 37 (51%) EDs. TTB varied considerably (mean = 4, standard deviation = 1.6; range, 2.1-9.2), and the OR was higher in EDs with TTB >4 compared with <= 4, 0.86 versus 0.43 (0.43; 95% confidence interval [CI], 0.27-0.59), but not workload, 2.75 versus 2.52 (0.23; 95% CI, -0.19 to 0.64). After adjusting for confounders, both TTB (k = -0.3; 95% CI, -0.49 to -0.14) and OR (k = 3.4; 95% CI, 1.76-5.03) affected workload. Correlation with workload was better for CR than for OR (r = 0.75 vs 0.60, respectively). Conclusion OR is affected by patient-to-treatment bed ratios that differ significantly between EDs and should be accounted for when measuring crowding. CR is not affected by baseline treatment beds and is a better comparable measure of crowding compared with OR in this national comparator study.
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- Wretborn, Jens, et al.
(author)
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Risk of venous thromboembolism in a Swedish healthcare system during the COVID-19 pandemic : A retrospective cross-sectional study
- 2021
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In: Journal of the American College of Emergency Physicians Open. - : Wiley. - 2688-1152. ; 2:5
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Journal article (peer-reviewed)abstract
- Objective The objective of this study was to investigate the risk and prevalence of venous thromboembolism (VTE) for patients undergoing a diagnostic test for VTE with confirmed COVID-19 infection compared with patients with no COVID-19 infection. Methods This was a retrospective cross-sectional study of patients in an integrated healthcare system in Sweden, covering a population of 465,000, with a diagnostic test for VTE between March 1 and May 31 in the years 2015 to 2020. Risk for VTE with COVID-19 was assessed by logistic regression, adjusting for baseline risk factors. Results A total of 8702 patients were included, and 88 of those patients tested positive on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction test. A positive SARS-CoV-2 test did not increase the odds for VTE (odds ratio, 0.97; 95% confidence interval [CI], 0.55-1.74) and did not change when adjusting for sex, previous VTE, previous malignancy, Charlson score, hospital admission, intensive care, or ongoing treatment with anticoagulation (odds ratio, 0.72; 95% CI, 0.16-3.3). The prevalence of VTE was unchanged in 2020 compared with 2015 to 2019 (16.5% vs 16.1%, respectively), and there was no difference in VTE between the SARS-CoV-2 positive, negative, or untested groups in 2020 (15.9%, 17.6%, and 15.7%, respectively; P = 0.85). Conclusions We found no increased prevalence of VTE in the general population compared with previous years and no increased risk of VTE in patients who were SARS-CoV-2 positive, suggesting that SARS-CoV-2 status should not influence VTE workup in the emergency department. The prevalence of VTE was high in patients with SARS-CoV-2 treated in the intensive care unit (ICU), where the suspicion for VTE should remain high.
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