Appropriateness of radiographic imaging ordered by emergency physicians: a knowledge-based survey.

OBJECTIVE: To assess the knowledge of physicians working in the emergency department in choosing appropriate diagnostic imaging in different clinical scenarios. Methods: The cross-sectional study was conducted at the Emergency Department of the Aga Khan University Hospital, Karachi, from January 3 to July 2, 2018, and comprised registered medical officers, residents, and consultants of either gender involved in emergency care decision-making. Data was collected using a structured questionnaire that had 10 clinical scenarios based on the American College of Radiology Appropriateness Criteria guidelines. Data was analysed using SPSS 17. RESULTS: Of the 82 participants, 50(61%) were males and 32(39%) were females. The overall mean age was 34.06±6.42 years. Of the total, 50(61%) subjects had appropriate knowledge regarding imaging. The overall mean number of correct responses was 6.90±1.20. Those belonging to the Emergency Medicine specialty had significantly higher odds of having appropriate knowledge compared to participants belonging to other specialties when adjusted for age, gender, position of practice and years of Emergency Medicine training (Odds ratio: 4.73; 95% confidence interval: 1.07-20.91). CONCLUSIONS: Physicians belonging to the Emergency Medicine specialty were more likely to have adequate knowledge regarding imaging appropriateness compared to other specialties.

Development of COVID-19 severity assessment score in adults presenting with COVID-19 to the emergency department.

BACKGROUND: Critically-ill Covid-19 patients require extensive resources which can overburden a healthcare system already under strain due to a pandemic. A good disease severity prediction score can help allocate resources to where they are needed most. OBJECTIVES: We developed a Covid-19 Severity Assessment Score (CoSAS) to predict those patients likely to suffer from mortalities within 28 days of hospital admission. We also compared this score to Quick Sequential Organ Failure Assessment (qSOFA) in adults. METHODS: CoSAS includes the following 10 components: Age, gender, Clinical Frailty Score, number of comorbidities, Ferritin level, D-dimer level, neutrophil/lymphocyte ratio, C-reactive Protein levels, systolic blood pressure and oxygen saturation. Our study was a single center study with data collected via chart review and phone calls. 309 patients were included in the study. RESULTS: CoSAS proved to be a good score to predict Covid-19 mortality with an Area under the Curve (AUC) of 0.78. It also proved better than qSOFA (AUC of 0.70). More studies are needed to externally validate CoSAS. CONCLUSION: CoSAS is an accurate score to predict Covid-19 mortality in the Pakistani population.

Point of Care Ultrasonographic Life Support in Emergency (PULSE)-a quasi-experimental study.

BACKGROUND: Many physicians use point-of-care ultrasound (PoCUS) in their clinical practice to improve their diagnostic capabilities, accuracy, and timeliness. Over the last two decades, the use of PoCUS in the emergency room has dramatically increased. This study aimed to determine emergency physicians' retention of knowledge and skills after a brief training workshop on a focused ultrasound-guided approach to a patient presenting with undifferentiated shock, shortness of breath, and cardiac arrest in the emergency department of a tertiary care hospital. The secondary aim was to deliver the PoCUS-guided algorithmic approach to manage a patient presenting with undifferentiated shock, respiratory distress, and cardiac arrest in the emergency department. METHODS: A quasi-experimental study was conducted with a single-day Point of Care Ultrasonographic Life Support in Emergency (PULSE) training workshop in October 2021 at the Aga Khan University Hospital, Karachi, Pakistan. A total of 32 participants attended the course, including twenty-one junior residents (PGY 1 and 2) and medical officers with experience of fewer than two years working in different emergency departments of urban tertiary care hospitals across Karachi, Pakistan. Pre- and post-assessment tools comprised a written examination, evaluating participants' knowledge and skills in ultrasound image acquisition and interpretation. Cronbach's alpha was used to calculate the validity of the tool. Results obtained before and after the training session were compared by the McNemar's test. A p value of ≤ 0.05 was considered significant. RESULTS: There was a significant improvement in response to each question pre to post-test after completion of the course (Table 1). The significant change can be seen in questions 7, 8, 13, and 15, with a percentage change of 33.3, 80.9, 42.9, and 47.7. There was a significant improvement in the understanding and knowledge of participants after the training. The scores in the post-test were high compared to the pre-test in each category, i.e., respiratory distress (p < 0.017), cardiac arrest (p < 0.041), basic ultrasound knowledge (p < 0.001), and undifferentiated shock (p < 0.001). CONCLUSION: All participants showed improvement in their knowledge and confidence regarding using PoCUS in life-threatening conditions. Through this study, we have also developed an algorithmic approach to managing undifferentiated shock, respiratory failure, and cardiac arrest. Future studies must assess the effectiveness and feasibility of incorporating these algorithms into clinical practice.