BACKGROUND: The oxygenation index (mean airway pressure × FIO2 divided by PaO2) was originally devised to measure severity of illness and predict outcome in neonatal respiratory failure. We evaluated the discrimination of a modified oxygenation index (modified with age) for predicting 28-day mortality in adults with respiratory failure (adult respiratory distress syndrome [ARDS]) using the ALVEOLI section of the ARDSNet database and validated the results in the full ARDSNet database. METHODS: We compared age-adjusted oxygenation index (AOI) on ventilator Days 1 to 4 with 28-day mortality. RESULTS: AOI correlated positively with mortality (area under the receiver operating characteristic curve, 0.70-0.74, for ARDS Days 1-4). Following initial development, AOI related to mortality was validated in two other ARDSNet databases producing similar results (area under the receiver operating characteristic curve, 0.70-0.78). CONCLUSION: The observed sensitivity and specificity analysis demonstrated that AOI is equivalent to or better than other mortality prediction systems used for ARDS. LEVEL OF EVIDENCE: Prognostic, level III.
BACKGROUND: The oxygenation index (mean airway pressure × FIO2 divided by PaO2) was originally devised to measure severity of illness and predict outcome in neonatal respiratory failure. We evaluated the discrimination of a modified oxygenation index (modified with age) for predicting 28-day mortality in adults with respiratory failure (adult respiratory distress syndrome [ARDS]) using the ALVEOLI section of the ARDSNet database and validated the results in the full ARDSNet database. METHODS: We compared age-adjusted oxygenation index (AOI) on ventilator Days 1 to 4 with 28-day mortality. RESULTS:AOI correlated positively with mortality (area under the receiver operating characteristic curve, 0.70-0.74, for ARDS Days 1-4). Following initial development, AOI related to mortality was validated in two other ARDSNet databases producing similar results (area under the receiver operating characteristic curve, 0.70-0.78). CONCLUSION: The observed sensitivity and specificity analysis demonstrated that AOI is equivalent to or better than other mortality prediction systems used for ARDS. LEVEL OF EVIDENCE: Prognostic, level III.
Authors: Yub Raj Sedhai; Mengdan Yuan; Scott W Ketcham; Ivan Co; Dru D Claar; Jakob I McSparron; Hallie C Prescott; Michael W Sjoding Journal: Ann Am Thorac Soc Date: 2021-07
Authors: Leonard Go; G R Scott Budinger; Mary J Kwasny; Jie Peng; Jean-Marie Forel; Laurent Papazian; Manu Jain Journal: Crit Care Med Date: 2016-01 Impact factor: 7.598
Authors: Lu Chen; Guang-Qiang Chen; Kevin Shore; Orest Shklar; Concetta Martins; Brian Devenyi; Paul Lindsay; Heather McPhail; Ashley Lanys; Ibrahim Soliman; Mazin Tuma; Michael Kim; Kerri Porretta; Pamela Greco; Hilary Every; Chris Hayes; Andrew Baker; Jan O Friedrich; Laurent Brochard Journal: Crit Care Date: 2017-04-04 Impact factor: 9.097
Authors: Ala Nozari; Shivali Mukerji; Molly Vora; Alfonso Garcia; Alyssa Park; Nicholas Flores; Robert Canelli; Gerardo Rodriguez; Riccardo Pinciroli; Alexander Nagrebetsky; Rafael Ortega; Sadeq A Quraishi Journal: Crit Care Res Pract Date: 2021-05-26
Authors: Mario Menk; Lena Giebelhäuser; Gerald Vorderwülbecke; Martina Gassner; Jan A Graw; Björn Weiss; Mathias Zimmermann; Klaus-D Wernecke; Steffen Weber-Carstens Journal: Ann Intensive Care Date: 2018-03-27 Impact factor: 6.925