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Comparison of non-invasive to invasive oxygenation ratios for diagnosing acute respiratory distress syndrome following coronary artery bypass graft surgery: a prospective derivation-validation cohort study
OBJECTIVE: To determine if non-invasive oxygenation indices, namely peripheral capillary oxygen saturation (S(p)O(2))/fraction of inspired oxygen (F(i)O(2)) and partial pressure of alveolar oxygen (P(A)O(2))/F(i)O(2) may be used as effective surrogates for the partial pressure of arterial oxygen (P(...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260696/ https://www.ncbi.nlm.nih.gov/pubmed/30482210 http://dx.doi.org/10.1186/s13019-018-0804-8 |
Sumario: | OBJECTIVE: To determine if non-invasive oxygenation indices, namely peripheral capillary oxygen saturation (S(p)O(2))/fraction of inspired oxygen (F(i)O(2)) and partial pressure of alveolar oxygen (P(A)O(2))/F(i)O(2) may be used as effective surrogates for the partial pressure of arterial oxygen (P(a)O(2))/F(i)O(2). Also, to determine the S(p)O(2)/F(i)O(2) and P(A)O(2)/F(i)O(2) values that correspond to P(a)O(2)/F(i)O(2) thresholds for identifying acute respiratory distress syndrome (ARDS) in patients following coronary artery bypass graft (CABG) surgery. METHODS: A prospective derivation-validation cohort study in the Open-Heart ICU of an academic teaching hospital. Recorded variables included patient demographics, ventilator settings, chest radiograph results, and S(P)O(2), P(a)O(2), P(A)O(2,) S(a)O(2), and F(i)O(2). Linear regression modeling was used to quantify the relationship between indices. Receiver operating characteristic (ROC) curves were used to determine the sensitivity and specificity of the threshold values. RESULTS: One-hundred seventy-five patients were enrolled in the derivation cohort, and 358 in the validation cohort. The S(P)O(2)/F(i)O(2) and P(A)O(2)/F(i)O(2) ratios could be predicted well from P(a)O(2)/F(i)O(2), described by the linear regression models S(P)O(2)/F(i)O(2) = 71.149 + 0.8PF and P(A)O(2)/F(i)O(2) = 38.098 + 2.312PF, respectively. According to the linear regression equation, a P(a)O(2)/F(i)O(2) ratio of 300 equaled an S(P)O(2)/F(i)O(2) ratio of 311 (R(2) 0.857, F 1035.742, < 0.0001) and a P(A)O(2)/F(i)O(2) ratio of 732 (R(2) 0.576, F 234.887, < 0.0001). The S(P)O(2)/F(i)O(2) threshold of 311 had 90% sensitivity, 80% specificity, LR+ 4.50, LR- 0.13, PPV 98, and NPV 42.1 for the diagnosis of mild ARDS. The P(A)O(2)/F(i)O(2) threshold of 732 had 86% sensitivity, 90% specificity, LR+ 8.45, LR- 0.16, PPV 98.9, and NPV 36 for the diagnosis of mild ARDS. S(P)O(2)/F(i)O(2) had excellent discrimination ability for mild ARDS (AUC ± SE = 0.92 ± 0.017; 95% CI 0.889 to 0.947) as did P(A)O(2)/F(i)O(2) (AUC ± SE = 0.915 ± 0.018; 95% CI 0.881 to0.942). CONCLUSIONS: P(a)O(2) and S(a)O(2) correlated in the diagnosis of ARDS, with a P(a)O(2)/F(i)O(2) of 300 correlating to an S(P)O(2)/ F(i)O(2) of 311 (Sensitivity 90%, Specificity 80%). The S(P)O(2)/ F(i)O(2) ratio may allow for early real-time rapid identification of ARDS, while decreasing the cost, phlebotomy, blood loss, pain, skin breaks, and vascular punctures associated with serial arterial blood gas measurements. |
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