Covid SeveriTy Score PREDICTOR 50: A novel scoring system to assess prognosis in COVID 19 illness

Gundappa, Vivek Suresh Parinita Rajagopalan Manjari

Background: The first case of COVID 19 illness was detected on 31st December 2019 and the disease has progressed globally causing significant morbidity and mortality. The disease initially thought to be a respiratory virus soon showed manifestations involving other systems and diagnosis and treatment of the disease became more complicated. This study aims to derive a scoring system based on health records of patients suffering from COVID 19, to help in early triaging of the illness and therefore allowing for early institution of treatment. Aims and Objective: To establish a scoring system inclusive of clinical, laboratory and radiological parameters to assist in the prognosis of patients afflicted with COVID 19 illness. Materials and Methods: Health records of 138 COVID patients has been included in the study. The scoring system comprises of parameters including Age, Co-morbidities, Shortness of breath, Saturation, Pulse Rate, Respiratory rate, temperature, D dimer, Neutrophil Lymphocyte ratio, Troponin I, Organ involvement, Radiology. The cumulative scoring ranges from 0-16. The mortality rate among the subjects included was 25.4%. Results: All parameters involved were found to be independent risk factors for mortality. Patients were effectively categorized based on the scoring system and mortality found to be associated with increasing scores. This model displayed good discrimination (AUC =0.875) and the sensitivity and specificity of the model was found to be 0.857 and 0.767 respectively. Conclusion: This scoring system has been designed to categorize based on the systemic involvement of the disease and thus would serve as a reliable indicator for prognostic assessment in patients. [ABSTRACT FROM AUTHOR] Copyright of Asian Journal of Medical Sciences is the property of Manipal Colleges of Medical Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)