Prognostic Factors and Clinical Prediction Score for Progressive Respiratory Failure in Severe COVID-19 Pneumonia Patients Treated with Tocilizumab: A Multicenter Study
| dc.contributor.author | Pongtarakulpanit N. | |
| dc.contributor.author | Jayanama K. | |
| dc.contributor.author | Phinyo P. | |
| dc.contributor.author | Naothavorn W. | |
| dc.contributor.author | Nuprom S. | |
| dc.contributor.author | Pitidhammabhorn D. | |
| dc.contributor.author | Ngammisri P. | |
| dc.contributor.author | Ngamjanyaporn P. | |
| dc.contributor.author | Suthichatchawan V. | |
| dc.contributor.author | Wicharit L. | |
| dc.contributor.author | Thammavaranucupt K. | |
| dc.contributor.correspondence | Pongtarakulpanit N. | |
| dc.contributor.other | Mahidol University | |
| dc.date.accessioned | 2026-01-02T18:09:55Z | |
| dc.date.available | 2026-01-02T18:09:55Z | |
| dc.date.issued | 2025-01-01 | |
| dc.description.abstract | Purpose: A proportion of COVID-19 pneumonia patients develop respiratory failure despite tocilizumab administration. This retrospective cohort study aimed to identify prognostic factors associated with progressive respiratory failure within 14 days among patients with severe COVID-19 pneumonia treated with Tocilizumab and to describe treatment outcomes. Patients and Methods: Patients with severe COVID-19 pneumonia were assessed, and their demographic, clinical, laboratory data, and prior treatment were collected on the day of tocilizumab administration. A multivariable Cox proportional hazard model was employed to identify prognostic factors. Results: Of the 109 patients, 32 (29.4%) progressed to respiratory failure. We identified the following independent prognostic factors for progressive respiratory failure: pulse oximetry saturation to fraction of inspired oxygen ratio (SpO<inf>2</inf>/FiO<inf>2</inf>) ≤ 160 (HR 2.97, 95% CI 1.41–6.23, P = 0.004), estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73m<sup>2</sup> (HR 3.21, 95% CI 1.23–8.39, P = 0.017), and serum potassium ≤ 4 mmol/L (HR 2.82, 95% CI 1.38–5.80, P = 0.005). A predictive model based on these factors effectively stratified the risk of progressive respiratory failure (area under the curve = 0.72, 95% CI 0.63–0.80). Patients experiencing progressive respiratory failure had poor clinical outcomes, with a mortality rate of 62.5%, compared to 0.0% in the non-respiratory failure group (p < 0.001). Conclusion: In severe COVID-19 pneumonia patients treated with Tocilizumab, low SpO<inf>2</inf>/FiO<inf>2</inf> ratio, low eGFR, and relatively low serum potassium were independent predictors for progressive respiratory failure. This simple clinical score may help identify high-risk patients early, though external validation is required before routine implementation. | |
| dc.identifier.citation | Therapeutics and Clinical Risk Management Vol.21 (2025) , 1783-1793 | |
| dc.identifier.doi | 10.2147/TCRM.S567679 | |
| dc.identifier.eissn | 1178203X | |
| dc.identifier.issn | 11766336 | |
| dc.identifier.scopus | 2-s2.0-105025402636 | |
| dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/123456789/113718 | |
| dc.rights.holder | SCOPUS | |
| dc.subject | Chemical Engineering | |
| dc.subject | Pharmacology, Toxicology and Pharmaceutics | |
| dc.subject | Medicine | |
| dc.subject | Social Sciences | |
| dc.title | Prognostic Factors and Clinical Prediction Score for Progressive Respiratory Failure in Severe COVID-19 Pneumonia Patients Treated with Tocilizumab: A Multicenter Study | |
| dc.type | Article | |
| mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105025402636&origin=inward | |
| oaire.citation.endPage | 1793 | |
| oaire.citation.startPage | 1783 | |
| oaire.citation.title | Therapeutics and Clinical Risk Management | |
| oaire.citation.volume | 21 | |
| oairecerif.author.affiliation | Faculty of Medicine, Chiang Mai University | |
| oairecerif.author.affiliation | Faculty of Medicine Ramathibodi Hospital, Mahidol University | |
| oairecerif.author.affiliation | Praboromarajchanok Institute |
