# Development and validation of a prediction score for failure to casirivimab/imdevimab in hospitalized patients with COVID-19 pneumonia

**Authors:** Alessandro Cozzi-Lepri, Vanni Borghi, Salvatore Rotundo, Bianca Mariani, Anna Ferrari, Cosmo Del Borgo, Francesca Bai, Pietro Colletti, Piermauro Miraglia, Carlo Torti, Anna Maria Cattelan, Giovanni Cenderello, Marco Berruti, Carlo Tascini, Giustino Parruti, Simona Coladonato, Andrea Gori, Giulia Marchetti, Miriam Lichtner, Luigi Coppola, Chiara Sorace, Alessandra D'Abramo, Valentina Mazzotta, Giovanni Guaraldi, Erica Franceschini, Marianna Meschiari, Loredana Sarmati, Andrea Antinori, Emanuele Nicastri, Cristina Mussini

PMC · DOI: 10.3389/fmed.2024.1293431 · Frontiers in Medicine · 2024-03-11

## TL;DR

This study developed a prediction score to identify hospitalized COVID-19 patients who may not benefit from casirivimab/imdevimab treatment, based on factors like age and blood markers.

## Contribution

A novel prediction score was developed and validated to estimate failure risk of casirivimab/imdevimab in hospitalized COVID-19 patients.

## Key findings

- Four variables (age, PaO2/FiO2 ratio, LDH, and platelets) independently predicted MV/death risk.
- The prediction score showed good accuracy with AUCs of 0.80 (internal) and 0.77 (test set) for the composite endpoint.
- The model was well calibrated and indicated lower mortality risk compared to prior reports.

## Abstract

Casirivimab and imdevimab (CAS/IMV) are two non-competing, high-affinity human IgG1 anti-SARS-CoV-2 monoclonal antibodies, that showed a survival benefit in seronegative hospitalized patients with COVID-19. This study aimed to estimate the day-28 risk of mechanical ventilation (MV) and death in individuals hospitalized for severe COVID-19 pneumonia and receiving CAS/IMV. Additionally, it aimed to identify variables measured at the time of hospital admission that could predict these outcomes and derive a prediction algorithm.

This is a retrospective, observational cohort study conducted in 12 hospitals in Italy. Adult patients who were consecutively hospitalized from November 2021 to February 2022 receiving CAS/IMV were included. A multivariable logistic regression model was used to identify predictors of MV or death by day 28 from treatment initiation, and β-coefficients from the model were used to develop a risk score that was derived by means of leave-one-out internal cross-validation (CV), external CV, and calibration. Secondary outcome was mortality.

A total of 480 hospitalized patients in the training set and 157 patients in the test set were included. By day 28, 36 participants (8%) underwent MV and 28 died (6%) for a total of 58 participants (12%) experiencing the composite primary endpoint. In multivariable analysis, four factors [age, PaO2/FiO2 ratio, lactate dehydrogenase (LDH), and platelets] were independently associated with the risk of MV/death and were used to generate the proposed risk score. The accuracy of the score in the area under the curve (AUC) was 0.80 and 0.77 in internal validation and test for the composite endpoint and 0.87 and 0.86 for death, respectively. The model also appeared to be well calibrated with the raw data.

The mortality risk reported in our study was lower than that previously reported. Although CAS/IMV is no longer used, our score might help in identifying which patients are not likely to benefit from monoclonal antibodies and may require alternative interventions.

## Linked entities

- **Diseases:** COVID-19 (MONDO:0100096), pneumonia (MONDO:0005249)

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382), death (MESH:D003643)
- **Chemicals:** Casirivimab (MESH:C000711487), CAS (MESH:D002118), IMV (-), imdevimab (MESH:C000711488)
- **Species:** Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC10961453/full.md

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Source: https://tomesphere.com/paper/PMC10961453