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Alessandri F, Tosi A, De Lazzaro F, Andreoli C, Cicchinelli A, Carrieri C, Lai Q, Pugliese F. Use of CPAP Failure Score to Predict the Risk of Helmet-CPAP Support Failure in COVID-19 Patients: A Retrospective Study. J Clin Med 2022; 11:jcm11092593. [PMID: 35566728 PMCID: PMC9104739 DOI: 10.3390/jcm11092593] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/26/2022] [Accepted: 05/02/2022] [Indexed: 02/01/2023] Open
Abstract
(1) Background: the aim of this study was to create a score to predict the incidence of CPAP failure in COVID-19 patients early. (2) Methods: in this retrospective observational study, we included all consecutive adult patients admitted between February and April 2021. The main outcome was the failure of CPAP support (intubation or death). (3) Results: two-hundred and sixty-three COVID-19 patients were managed with CPAP. The population was divided in short-CPAP (CPAP days ≤ 10; 72.6%) and long-CPAP (>10; 27.4%) groups. After balancing the entire population using a stabilized IPTW method, we applied a multivariable logistic regression analysis to identify the risk factors for CPAP failure. We used the identified covariates to create a mathematical model, the CPAP Failure Score (CPAP-FS). The multivariable logistic regression analysis identified four variables: SpO2 (OR = 0.86; p-value = 0.001), P/F ratio (OR = 0.99; p-value = 0.008), the Call Score (OR = 1.44; p-value = 0.02), and a pre-existing chronic lung disease (OR = 3.08; p-value = 0.057). The beta-coefficients obtained were used to develop the CPAP-FS, whose diagnostic ability outperformed other relevant COVID-19-related parameters (AUC = 0.87; p-value < 0.0001). We validated the CPAP-FS using a 10-fold internal cross-validation method which confirmed the observed results (AUCs 0.76−0.80; p-values < 0.0001). (4) Conclusions: the CPAP-FS can early identify COVID-19 patients who are at risk of CPAP failure.
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Affiliation(s)
- Francesco Alessandri
- Department of General Surgery and Organ Transplantation Unit, Sapienza University of Rome, Policlinico Umberto I, 00161 Rome, Italy; (Q.L.); (F.P.)
- Correspondence:
| | - Antonella Tosi
- Department of Anesthesiology, Critical Care and Pain Medicine, Sapienza University of Rome, Policlinico Umberto I, 00161 Rome, Italy; (A.T.); (F.D.L.); (A.C.); (C.C.)
| | - Francesco De Lazzaro
- Department of Anesthesiology, Critical Care and Pain Medicine, Sapienza University of Rome, Policlinico Umberto I, 00161 Rome, Italy; (A.T.); (F.D.L.); (A.C.); (C.C.)
| | - Chiara Andreoli
- Department of Radiology, Sapienza University of Rome, Policlinico Umberto I, 00161 Rome, Italy;
| | - Andrea Cicchinelli
- Department of Anesthesiology, Critical Care and Pain Medicine, Sapienza University of Rome, Policlinico Umberto I, 00161 Rome, Italy; (A.T.); (F.D.L.); (A.C.); (C.C.)
| | - Cosima Carrieri
- Department of Anesthesiology, Critical Care and Pain Medicine, Sapienza University of Rome, Policlinico Umberto I, 00161 Rome, Italy; (A.T.); (F.D.L.); (A.C.); (C.C.)
| | - Quirino Lai
- Department of General Surgery and Organ Transplantation Unit, Sapienza University of Rome, Policlinico Umberto I, 00161 Rome, Italy; (Q.L.); (F.P.)
| | - Francesco Pugliese
- Department of General Surgery and Organ Transplantation Unit, Sapienza University of Rome, Policlinico Umberto I, 00161 Rome, Italy; (Q.L.); (F.P.)
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