医学
重症医师
科恩卡帕
肺炎
回顾性队列研究
卡帕
2019年冠状病毒病(COVID-19)
疾病严重程度
计算机断层摄影术
放射科
内科学
疾病
重症监护室
传染病(医学专业)
哲学
机器学习
语言学
计算机科学
作者
Kiran Hilal,Jehanzeb Shahid,A Ameen,Russell Seth Martins,Avinash Nankani,Tanveer ul Haq,Ainan Arshad
出处
期刊:Journal of Ayub Medical College Abbottabad
[Ayub Medical College]
日期:2021-12-31
卷期号:34 (1): 24-30
被引量:4
标识
DOI:10.55519/jamc-01-9344
摘要
Though various computerized tomography (CT) severity scores have been described for risk prognostication for coronavirus disease 2019 (COVID-19), most are challenging to calculate and have variable inter-observer agreement. The objective of this study was to develop a simple CT severity score (CT-SS) with good inter-observer agreement and assess its correlation with clinical outcome.This retrospective study was conducted at the Aga Khan University Hospital (AKUH), from April-August 2020. All patients who were PCR positive for COVID-19 and underwent CT chest examination at AKUH were included. Severity of disease was described on the basis of a 10-point CT severity score (CT-SS) devised at our institution. CT-SS were categorized as Low (0-7) and High (8-10). Inter-observer reliability between radiologist and COVID-19 intensivist was assessed using the Kappa statistic.A total of 73 patients were included, the majority male (58.9%) with mean age 55.8±13.93 years. The CT-SS rated on 0-10 showed substantial inter-observer reliability between radiologist and intensivist with a Kappa statistic of 0.78. Patients with CT-SS 8-10 had a significantly higher ICU admission & intubation rate (53.8% vs. 23.5%) and mortality rate (35.9% vs. 11.8%; p=0.017), as compared to those with CT-SS 0-7.We conclude that the described CT severity score (CT-SS) is a quick, effective, and easily reproducible tool for prediction of adverse clinical outcome in patients with COVID 19 pneumonia. The tool shows good inter-observer agreement when calculated by radiologist and physician independently.
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