PARIS score for evaluation of probability of SARS-CoV-2 infection in cancer patients

Abstract

Control of transmissible diseases as COVID-19 needs a testing and an isolation strategy. The PARIS score developed by Torjdman et al. was aimed at improving patient selection for testing and quarantining but was derived from a general population. We performed a retrospective analysis of the validity of the PARIS score in a cancer patient population. We included 164 patients counting for 181 visits at the emergency department of the Jules Bordet Institute between March 10th and May 18th which had a SARS-CoV-2 RT-PCR test at admission. Twenty-six cases (14.3%) were tested positive with a higher proportion of positive tests among hematological patients compared to those with solid tumors (26% vs 11% p = 0.02). No clinical symptoms were associated with a positive SARS-CoV-2 PCR. No association between anticancer treatment and SARS-CoV-2 infection was found. The PARIS score failed to differentiate SARS-CoV-2-positive and SARS-CoV-2-negative groups (AUC 0.61 95% CI 0.48-0.73). The negative predictive value of a low probability PARIS score was 0.89 but this concerned only 11% of the patients. A high probability PARIS score concerned 49% patients but the positive predictive value was 0.18. CT scan had a sensitivity of 0.77, specificity 0.51, a positive predictive value of 0.24, and a negative predictive value of 0.92. The performance of the PARIS score is thus very poor in this cancer population. A low-risk score can be of some utility but this concerns a minority of patients.

Keywords: COVID-19; Cancer; Risk stratification; SARS-CoV-2 infection.

Fig. 1

Area under the ROC curve: 0.61 (95% CI, 0.48 to 0.73)