Περίληψη:
Background: Several studies have reported the predictors of the
prognosis in COVID-19 patients; however, smoking, X-ray findings of
pulmonary congestion, and A-profile and areas of consolidation in LUS
are independent predictors for COVID-19 infection. The new score had a
sensitivity of 93.8% and a specificity of 58% for the prediction of
COVID-19. Mortality in COVID-19 patients is significantly correlated
with age, fever duration, cardiac history, and B-profile and areas of
consolidation in LUS. However, it is negatively correlated with initial
O-2 saturation and ejection fraction. This study aimed to design a new
scoring model to diagnose COVID-19 using bedside lung ultrasound (LUS)
in the emergency department (ED).
Results: Eighty-two patients were recruited. Fifty patients (61%) were
negative for COVID-19, and 32 (39%) were positive. Sixty-four patients
(78%) recovered while 18 patients (22%) died. COVID-19 patients had
more AB-profile and more areas of consolidation than the non-COVID-19
group (p<0.001). Smoking, congestion in X-ray, A-profile, and abnormal A
line in LUS are independent predictors for COVID-19 infection. The score
had a sensitivity of 93.8% and a specificity of 58% for the prediction
of COVID-19. Mortality in COVID-19 patients is significantly correlated
with age, fever duration, cardiac history, and B-profile and areas of
consolidation in LUS. However, it is negatively correlated with initial
O-2 saturation and ejection fraction.
Conclusions: In conclusion, the application of our new score can
stratify patients presented to ED with suspected COVID-19 pneumonia,
considering that it is a good negative test. Moreover, this score may
have a good impact on the safety of medical personnel.
Συγγραφείς:
Eltahlawi, Mohammad
Roshdy, Hesham
Walaa, Mohammad
Manthou,
Panagiota
Garaygordobil, Diego Araiza
Elshabrawy, Mohammad and
Elkholy, Mohamed
Basha, Mohammad Abdelkhalek
Tharwat, Marwa and
Mansour, Waleed
