Prediction of non-recovery from ventilator-demanding acute respiratory failure, ARDS and death using lung damage biomarkers: data from a 1200-patient critical care randomized trial
Autor: | Jensen, Jens Ulrik S, Itenov, Theis S., Thormar, Katrin M., Hein, Lars, Mohr, Thomas T., Andersen, Mads H., Løken, Jesper, Tousi, Hamid, Lundgren, Bettina, Boesen, Hans Christian, Johansen, Maria E., Ostrowski, Sisse R., Johansson, Pär I., Grarup, Jesper, Vestbo, Jorgen, Lundgren, Jens D., Steensen, M., Thornberg, K., Bestle, M., Strange, D., Lauritsen, A., Søe-Jensen, P., Reiter, N., Drenck, N. E., Fjeldborg, P., Fox, Z., Kjær, J., Kristensen, D., Rasmussen, M. B., Hallas, C. Sv, Zacho, M., Østergaard, C., Petersen, P. L., Hougaard, S., Mantoni, T., Nebrich, L., Bendtsen, A., Andersen, L. H., Bærentzen, F., Eversbusch, Andreas, Bømler, B., Martusevicius, R., Nielsen, T., Bådstøløkken, P. M., Grevstad, U., Hallas, P., Lindhardt, A., Petersen, J. A., Jensen, C. H., Nielsen, K. |
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Rok vydání: | 2016 |
Předmět: |
ARDS
medicine.medical_specialty medicine.medical_treatment Population Critical Care and Intensive Care Medicine 03 medical and health sciences Mechanical ventilation 0302 clinical medicine Intensive care Internal medicine medicine Respiratory function 030212 general & internal medicine Diffuse alveolar damage education Intensive care medicine education.field_of_study business.industry Research Lung damage Hazard ratio medicine.disease Personalized early intervention 030228 respiratory system Cohort business Biomarkers |
Zdroj: | Annals of Intensive Care Jensen, J U S, Itenov, T S, Thormar, K M, Hein, L, Mohr, T T, Andersen, M H, Løken, J, Tousi, H, Lundgren, B, Boesen, H C, Johansen, M E, Ostrowski, S R, Johansson, P I, Grarup, J, Vestbo, J, Lundgren, J D & Procalcitonin And Survival Study (PASS) Group 2016, ' Prediction of non-recovery from ventilator-demanding acute respiratory failure, ARDS and death using lung damage biomarkers : data from a 1200-patient critical care randomized trial ', Annals of Intensive Care, vol. 6, no. 1, 114 . https://doi.org/10.1186/s13613-016-0212-y Jensen, J U S, Itenov, T S, Thormar, K M, Hein, L, Mohr, T T, Andersen, M H, Løken, J, Tousi, H, Lundgren, B, Boesen, H C, Johansen, M E, Ostrowski, S R, Johansson, P I, Grarup, J, Vestbo, J, Lundgren, J D, Steensen, M, Thornberg, K, Bestle, M, Strange, D, Lauritsen, A, Søe-Jensen, P, Reiter, N, Drenck, N E, Fjeldborg, P, Fox, Z, Kjær, J, Kristensen, D, Rasmussen, M B, Hallas, C S, Zacho, M, Østergaard, C, Petersen, P L, Hougaard, S, Mantoni, T, Nebrich, L, Bendtsen, A, Andersen, L H, Bærentzen, F, Eversbusch, A, Bømler, B, Martusevicius, R, Nielsen, T, Bådstøløkken, P M, Grevstad, U, Hallas, P, Lindhardt, A, Petersen, J A, Jensen, C H, Nielsen, K & Procalcitonin And Survival Study (PASS) Group 2016, ' Prediction of non-recovery from ventilator-demanding acute respiratory failure, ARDS and death using lung damage biomarkers : data from a 1200-patient critical care randomized trial ', Annals of Intensive Care, vol. 6, no. 1, 114 . https://doi.org/10.1186/s13613-016-0212-y |
ISSN: | 2110-5820 |
DOI: | 10.1186/s13613-016-0212-y |
Popis: | Background It is unclear whether biomarkers of alveolar damage (surfactant protein D, SPD) or conductive airway damage (club cell secretory protein 16, CC16) measured early after intensive care admittance are associated with one-month clinical respiratory prognosis. If patients who do not recover respiratory function within one month can be identified early, future experimental lung interventions can be aimed toward this high-risk group. We aimed to determine, in a heterogenous critically ill population, whether baseline profound alveolar damage or conductive airway damage has clinical respiratory impact one month after intensive care admittance. Methods Biobank study of biomarkers of alveolar and conductive airway damage in intensive care patients was conducted. This was a sub-study of 758 intubated patients from a 1200-patient randomized trial. We split the cohort into a “learning cohort” and “validating cohort” based on geographical criteria: northern sites (learning) and southern sites (validating). Results Baseline SPD above the 85th percentile in the “learning cohort” predicted low chance of successful weaning from ventilator within 28 days (adjusted hazard ratio 0.6 [95% CI 0.4–0.9], p = 0.005); this was confirmed in the validating cohort. CC16 did not predict the endpoint. The absolute risk of not being successfully weaned within the first month was 48/106 (45.3%) vs. 175/652 (26.8%), p |
Databáze: | OpenAIRE |
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