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The Covid-19 pandemic has pushed many hospitals to their capacity limits. Therefore, a triage of patients has been discussed controversially primarily through an ethical perspective. The term triage contains many aspects such as urgency of treatment, severity of the disease and pre-existing conditions, access to critical care, or the classification of patients regarding subsequent clinical pathways starting from the emergency department. The determination of the pathways is important not only for patient care, but also for capacity planning in hospitals. We examine the performance of a human-made triage algorithm for clinical pathways which is considered a guideline for emergency departments in Germany based on a large multicenter dataset with over 4,000 European Covid-19 patients from the LEOSS registry. We find an accuracy of 28 percent and approximately 15 percent sensitivity for the ward class. The results serve as a benchmark for our extensions including an additional category of palliative care as a new label, analytics, AI, XAI, and interactive techniques. We find significant potential of analytics and AI in Covid-19 triage regarding accuracy, sensitivity, and other performance metrics whilst our interactive human-AI algorithm shows superior performance with approximately 73 percent accuracy and up to 76 percent sensitivity. The results are independent of the data preparation process regarding the imputation of missing values or grouping of comorbidities. In addition, we find that the consideration of an additional label palliative care does not improve the results.
Background
With 900′000 coronary angiographies (CA) per year, Germany has the highest annual per capita volume in Europe. Until now there are no prospective clinical data on the degree of guideline-adherence in the use of CA in patients with suspected chronic coronary syndrome (CCS) in Germany.
Methods
Between January 2019 and August 2021, 458 patients with suspected CCS were recruited in nine German centres. Guideline-adherence was evaluated according to the current European Society of Cardiology and German guidelines. Pre-test probability (PTP) for CAD was determined using age, gender, and a standardized patient questionnaire to identify symptoms. Data on the diagnostic work-up were obtained from health records.
Results
Patients were in mean 66.6 years old, male in 57.3 %, had known CAD in 48.4 % and presented with typical, atypical, non-anginal chest pain or dyspnoea in 35.7 %, 41.3 %, 23.0 % and 25.4 %, respectively. PTP according to the European guidelines was in mean 24.2 % (11.9 %-36.5 % 95 % CI). 20.9 % of the patients received guideline-recommended preceding non-invasive image guided testing. The use of CA was adherent to the European and German guideline recommendations in 20.4 % and 25.4 %, respectively. In multivariate-analysis, arterial hypertension and prior revascularization were predictors of guideline non-adherence.
Conclusion
These are the first prospective clinical data which demonstrated an overall low degree of guideline-adherence in the use of CA in patients with suspected CCS in the German health care setting. To improve adherence rates, the availability of and access to non-invasive image guided testing needs to be strengthened. (German Clinical Trials Registry DRKS00015638 – Registration Date: 19.02.2019)
Background
For patients with acute myocardial infarction (AMI), direct coronary angiography (CA) is recommended, while for non-AMI patients, the diagnostic work-up depends on clinical criteria. This analysis provides initial prospective German data for the degree of guideline-adherence (GL) in the use of CA on non-AMI patients presenting at the emergency department (ED) with suspected acute coronary syndrome (ACS) according to the 2015 ESC-ACS-GL. Furthermore the implications of the application of the 2020 ESC-ACS-GL recommendations were evaluated.
Methods
Patient symptoms were identified using a standardized questionnaire; medical history and diagnostic work-up were acquired from health records. In accordance with the 2015 ESC-ACS-GL, CA was considered GL-adherent if intermediate risk criteria (IRC) were present or non-invasive, image-guided testing (NIGT) was pathological.
Results
Between January 2019 and August 2021, 229 patients were recruited across seven centers. Patients presented with chest pain, dyspnea, and other symptoms in 66.7%, 16.2% and 17.1%, respectively, were in mean 66.3 ± 10.5 years old, and 36.3% were female. In accordance with the 2015 ESC-ACS-GL, the use of CA was GL-adherent for 64.0% of the patients. GL-adherent compared to non-adherent use of CA resulted in revascularization more often (44.5% vs. 17.1%, p < 0.001). Applying the 2020 ESC-ACS-GL, 20.4% of CA would remain GL-adherent.
Conclusions
In the majority of cases, the use of CA was adherent to the 2015 ESC-ACS-GL. With regard to the 2020 and 2023 ESC-ACS-GL, efforts to expand the utilization of NIGT are crucial, especially as GL-adherent use of CA is more likely to result in revascularization.
