The American journal of emergency medicine
-
Multicenter Study Comparative Study
The impact of COVID-19 lockdown measures on ED visits in Lebanon.
As the COVID-19 pandemic spread globally, emergency departments (ED) around the world began to report significant drops in volumes and changes in disease patterns. During the early COVID-19 period, Lebanon followed an aggressive containment approach to halt the spread of the disease. ⋯ ED visits dropped significantly during the COVID-19 containment period. Understanding the trends of changes in disease entities is important for ED staffing purposes during the pandemic and the varying containment efforts. While stringent lockdown measures were associated with drops in ED visits, understanding the reason behind these drops, specifically whether behavioral or related to true drops in disease prevalence, needs further exploration.
-
Multicenter Study
First-to-second antibiotic delay and hospital mortality among emergency department patients with suspected sepsis.
To evaluate whether delay between the first and second antibiotic administered for suspected sepsis is associated with hospital mortality. ⋯ First-to-second antibiotic delay of greater than one hour was associated with an increased risk of hospital death among patients meeting criteria for septic shock but not all patients with suspected sepsis. Tracking and improving first-to-second antibiotic delays may be considered in septic shock.
-
Multicenter Study
Influence of procedural factors on patient procedural pain in relation to diagnostic lumbar puncture.
The aim of this study is to investigate the influence of local anesthetic (LA), operator experience level and needle type on patient procedural pain in relation to diagnostic lumbar puncture (LP). ⋯ Our study suggests that LP operator experience level, the needle type used and ATI may influence patient PPS. Further studies are necessary for final conclusions. These studies must consider these factors to avoid fault conclusions.
-
Letter Multicenter Study
Predicting emergency department volumes: A multicenter prospective study.
-
Multicenter Study
Supervised classification techniques for prediction of mortality in adult patients with sepsis.
Sepsis mortality is still unacceptably high and an appropriate prognostic tool may increase the accuracy for clinical decisions. ⋯ Deep learning and AI are increasingly used as support tools in clinical medicine. Their performance in a syndrome as complex and heterogeneous as sepsis may be a new horizon in clinical research. SVM and ANN seem promising for improving sepsis classification and prognosis.