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  MuLBSTA Score to Predict Mortality in Viral Pneumonia

 
Input
 
Age  
Lymphocyte Count  
Smoker No (0)

Yes (3)

Former (2)
Hypertension No (0)

Yes (2)
Multilobar Infiltrates No (0)

Yes (5)
Bacterial Infection No (0)

Yes (4)

 
Result
 
Important: Inputs must be complete to perform calculation.

 
 
MuLBSTA Score  
 

 
     
 
Include literature references: Yes   No

 
  MuLBSTA Score Interpretation

 
0 to 5 points: 0.47 to 2.17% mortality
6 to 10 points: 2.92 to 9.33% mortality
11 to 15 points: 12.27 to 32.36% mortality
16 to 20 points: 39.42 to 68.99% mortality
21 to 22 points: No study patients

 
 

 
Notes
  • In the Guo article[1] authors considered a MuLBSTA score of 0 to 11 points to be low risk, and scores of 12 or more to be high risk.
  • From the COVID-19 outbreak experience in China, Chen, et al[2] reported that the MuLBSTA Score seemed to correlate with mortality in COVID-19 infection.
  • MuLBSTA: multilobular infiltration, hypo-lymphocytosis, bacterial coinfection, smoking history, hyper-tension and age.

 
Equations used
 
MuLBSTAScore = AgeFactor + LymphocyteFactor + Smoker + Hypertension + MultilobarInfiltrates + BacterialInfection

 

 
Calculation Details and Variables
  • AgeFactor is assigned values by this ordered logic:
    • If Age ≥60 yr AgeFactor = 2
    • Else AgeFactor = 0.
  • LymphocyteFactor is assigned values by this ordered logic:
    • If Lymphocyte Count ≤0.8 x10(9)/L LymphocyteFactor = 4
    • Else LymphocyteFactor = 0.
  • Equation parameters such as Smoker, have two or more discrete values that may be used in the calculation. The numbers in the parentheses, e.g. (0), represent the values that will be used.

 
References
  1. Guo L, Wei D, Zhang X, et al. Clinical Features Predicting Mortality Risk in Patients With Viral Pneumonia: The MuLBSTA Score. Front Microbiol. 2019 Dec 3;10:2752. PubMed ID: 31849894 PubMed Logo
  2. Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020 Feb 15;395(10223):507-513. PubMed ID: 32007143 PubMed Logo

 
Associated Medical Subject Headings [MeSH]
 
         80 and over,   Adult,   Aged,   Comorbidity,   Coronavirus Infections,   Cough,   Disease Outbreaks,   Dyspnea,   Female,   Fever,   Humans,   Male,   Middle Aged,   Pneumonia,   Prognosis,   Radiography,   Retrospective Studies,   Severe Acute Respiratory Syndrome,   Thoracic,   Tomography,   Viral,   X-Ray Computed,   Young Adult

 
Associated Logical Observation Identifiers Names and Codes [LOINC]
 
Parameter LOINC's and Suggested Units
Age 21612-7 : yr      21612-7 : yr      21612-7 : years      30525-0 : Years old      30525-0 : yr      30525-0 : years      
Lymphocyte Count 731-0 : x10^3/microL      26474-7 : x10^3/microL      732-8 : x10^3/microL      

 
This material contains content from LOINC® (http://loinc.org). The LOINC table, LOINC codes, and LOINC panels and forms file are copyright © 1995-2014, Regenstrief Institute, Inc. and the Logical Observation Identifiers Names and Codes (LOINC) Committee and available at no cost under the license at http://loinc.org/terms-of-use.

 

 
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