Correlation between High Resolution CT-Thorax severity score and Clinical Outcome among COVID 19 infected patients
##plugins.themes.academic_pro.article.main##
Abstract
Background: COVID 19 being a disease of varying clinical presentation and higher level of mortality required a highly sensitive investigation to be carried out during the time of admission to plan for appropriate management
Objectives:
- To classify the COVID 19 patients based on HRCT scoring system
- To correlate HRCT score with the Clinical outcome of COVID 19 among the study participants
- To determine HRCT cutoff value for detecting mortality among COVID 19 patients
Materials and methods: A retrospective Observational study was done among 100 participants based on their case records using Purposive sampling method. HRCT scoring based classification was noted and was expressed in frequency and proportion, the correlation between HRCT and clinical outcome was determined by Pearson correlation, p value of < 0.05 considered significant. Cut off HRCT score was determined for predicting Mortality as clinical outcome using Receiver Operating Curve (ROC)
Results: The mean age of the participants was 60.5 ± 13.4 years, most of them were aged above 60 years and are males belonging to Class II socio economic scale. The proportion of milder form of COVID 19 was higher than moderate and sever forms as classified by HRCT scoring. There was a positive correlation between HRCT score and death as clinical outcome with r=0.69, p value <0.05. The ROC curve yielded a cut-off HRCT score of 16 to predict mortality among COVID 19 admitted patients
Conclusion: HRCT scoring yields a high value in detecting COVID 19 mortality rates hence have to be emphasized as an initial investigation in admitted patients
Keywords: HRCT scoring, Cut-off value, COVID 19 severity