Description

Wu et al reported a nomogram for predicting the risk of severe illness for a patient admitted to the hospital with COVID-19. This can help triage the patient to the appropriate acuity of care. The authors are from multiple institutions in China and Europe.


Patient selection: adult with COVID-19, on admission to the hospital

 

Parameters:

(1) age from 20 to 100 years

(2) percent lymphocytes from 0 to 90 percent

(3) serum C-reactive protein in mg/dL, from 0 to 22

(4) serum LDH in U/L, from 50 to 650

(5) serum CK in U/L, from 0 to 4,000

(6) serum BUN in mg/dL, from 0 to 240

(7) serum calcium in mg/dL from 2 to 12

 

points for age =

= (0.39875 * (age)) - 7.975

 

points for calcium =

= (-1.76 * (calcium)) + 21.12

 

points for CK =

= (0.025 * (CK))

 

points for CRP =

= (1.47727 * (CRP))

 

points for LDH =

= (0.02483 * (LDH)) - 1.241667

 

points for lymphocytes =

= (-0.5333 * (lymphocytes)) + 48

 

points for BUN =

= (0.16875 * (BUN))

 

score =

= SUM(points for all 7 parameters)

 

X =

= (0.089785 * (score)) - 7.9443

 

probability of severe disease =

= 1 / (1 + EXP((-1) * X))


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