Disease Severity Scoring for COVID-19: A Welcome (Semi)Quantitative Role for Chest Radiography

In order to develop a clinically applicable severity scoring system in cats with pancreatitis, 41 cats diagnosed with pancreatitis and hospitalized between 2011 and 2013 with their complete medical history were selected for analysis. Clinical signs, physical examination findings, laboratory findings, diagnostic imaging results, complications and concurrent diseases were analyzed to evaluate potential prognostic factors and further establish the severity scoring system. The mortality of cats selected in this study due to pancreatitis was 48.8%. Abnormalities in hemoglobin, albumin, blood urea nitrogen, total bilirubin, phosphorous and blood pressure were significantly associated with disease severity and prognosis and were selected for constructing the system. The abnormal range for each variable was further partitioned into quartiles, which were recorded into categorical variables. The weighting factors were calculated from the odds ratios (OR) between each of the quartiles and the normal range category. The area under curve (AUC) of the six continuous variables system at presentation and after rehydration of the cats was 0.873 and 0.976, respectively. The scores of 41 cats after rehydration ranged from 7 to 36 points. The mean score was [Formula: see text], the median 17 points and the mode 32 points. The optimal cut-off point for outcome prediction was 17.5 with a sensitivity of 95.2% and specificity of 95.5%. The mortality was 95% with a [Formula: see text], whereas 4.8 % had a [Formula: see text]. The severity scoring system provides a reliable and clinically applicable method to predict disease severity in cats with pancreatitis.

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117. Development of a disease severity scoring system for type I Gaucher disease

Molecular Genetics and Metabolism ◽

10.1016/j.ymgme.2007.10.129 ◽

2008 ◽

Vol 93 (2) ◽

pp. 45

Author(s):

Ari Zimran ◽

Maria Cappellini ◽

Timothy Cox ◽

Edward Giannini ◽

Gregory A. Grabowski ◽

...

Keyword(s):

Disease Severity ◽

Scoring System ◽

Gaucher Disease ◽

Type I ◽

Severity Scoring

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Modified Sick Neonatal Score (MSNS): A Novel Neonatal Disease Severity Scoring System for Resource-Limited Settings

Critical Care Research and Practice ◽

10.1155/2019/9059073 ◽

2019 ◽

Vol 2019 ◽

pp. 1-6 ◽

Cited By ~ 2

Author(s):

K. P. Mansoor ◽

S. R. Ravikiran ◽

Vaman Kulkarni ◽

Kiran Baliga ◽

Suchetha Rao ◽

...

Keyword(s):

Disease Severity ◽

Severity Score ◽

Scoring Systems ◽

Cutoff Score ◽

Disease Severity Score ◽

Resource Limited Settings ◽

Convenience Sample ◽

Severity Scoring ◽

Neonatal Disease ◽

Resource Limited

Neonatal disease severity scoring systems are needed to make standardized comparison between performances of different units and to give prognostic information to parents of individual babies admitted. Existing scoring systems are unsuitable for resource-limited settings which lack investigations like pH, pO2/FiO2 ratio, and base excess. This study was planned to evaluate Modified Sick Neonatal Score (MSNS), a novel neonatal disease severity score designed for resource-constrained settings. It was a facility-based cross-sectional analytical study, conducted in the “Special Newborn Care Unit” (SNCU) of government district hospital, attached to Kasturba Medical College, Mangalore, India from November 2016 to October 2017. A convenience sample of 585 neonates was included. Disease severity was assessed immediately at admission using MSNS. MSNS had 8 parameters with 0, 1, and 2 scores for each. 41% of study population was preterm (n=240), and 84.1% had birth weight less than 2500 grams (n=492). The mean (SD) of the total MSNS scores for neonates who expired and discharged was, respectively, 8.22 (2.96) and 13.4 (2.14), a difference being statistically significant at P<0.001. Expired newborns had statistically significant frequency of lower scores across each of the parameters. An optimum cutoff score of ≤10 with 80% sensitivity and 88.8% specificity in predicting mortality was obtained when the ROC curve was generated with the MSNS score as the test variable. Area under the curve was 0.913 (95% CI: 0.879–0.946). In conclusion, MSNS is a practicable disease severity score in resource-restricted settings like district SNCUs. It is for application in both term and preterm neonates. Total score ≤10 has a good sensitivity and specificity in predicting mortality of admitted neonates when used early during the course of hospitalization. MSNS could be used as a tool to compare performance of SNCUs and also enable early referral of individual cases to units with better facilities.

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