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Scott Med J ; 66(3): 101-107, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1285149

ABSTRACT

OBJECTIVES: To devise a novel, simple chest x-ray (CXR) scoring system which would help in prognosticating the disease severity and ability to predict comorbidities and in-hospital mortality. METHODS: We included a total of 343 consecutive hospitalised patients with COVID-19 in this study. The chest x-rays of these patients were scored retrospectively by three radiologists independently. We divided CXR in to six zones (right upper, mid & lower and left, upper mid & lower zones). We scored each zone as- 0, 1 or 2 as follows- if that zone was clear (0) Ground glass opacity (1) or Consolidation (2). A total of score from 0 to 12 could be obtained. RESULTS: A CXR score cut off ≥3 independently predicted mortality. Along with a relatively higher NPV ≥80%, it reinforced the importance of CXR score is a screening tool to triage patients according to risk of mortality. CONCLUSIONS: We propose that Pennine score is a simple tool which can be adapted by various countries, experiencing a large surge in number of patients, to decide which patient would need a tertiary Hospital referral/admission as opposed to patients that can be managed locally or at basic/primary care hospitals.


Subject(s)
COVID-19/diagnostic imaging , Radiography, Thoracic , Adult , Age Factors , Aged , Aged, 80 and over , COVID-19/diagnosis , COVID-19/mortality , Comorbidity , Female , Hospital Mortality , Humans , Length of Stay , Male , Middle Aged , Predictive Value of Tests , Prognosis , Radiography, Thoracic/methods , Radiography, Thoracic/statistics & numerical data , Retrospective Studies , Risk Factors , Severity of Illness Index
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