Publication: Association between pre-operative biological phenotypes and postoperative pulmonary complications: An unbiased cluster analysis
dc.contributor.author | Ary Serpa Neto | en_US |
dc.contributor.author | Lieuwe D. Bos | en_US |
dc.contributor.author | Pedro P.Z.A. Campos | en_US |
dc.contributor.author | Sabrine N.T. Hemmes | en_US |
dc.contributor.author | Thomas Bluth | en_US |
dc.contributor.author | Carolyn S. Calfee | en_US |
dc.contributor.author | Marion Ferner | en_US |
dc.contributor.author | Andreas Güldner | en_US |
dc.contributor.author | Markus W. Hollmann | en_US |
dc.contributor.author | Inmaculada India | en_US |
dc.contributor.author | Thomas Kiss | en_US |
dc.contributor.author | Rita Laufenberg-Feldmann | en_US |
dc.contributor.author | Juraj Sprung | en_US |
dc.contributor.author | Demet Sulemanji | en_US |
dc.contributor.author | Carmen Unzueta | en_US |
dc.contributor.author | Marcos F. Vidal Melo | en_US |
dc.contributor.author | Toby N. Weingarten | en_US |
dc.contributor.author | Anita M. Tuip-de Boer | en_US |
dc.contributor.author | Paolo Pelosi | en_US |
dc.contributor.author | Marcelo Gama de Abreu | en_US |
dc.contributor.author | Marcus J. Schultz | en_US |
dc.contributor.other | University of Amsterdam | en_US |
dc.date.accessioned | 2019-08-23T11:48:05Z | |
dc.date.available | 2019-08-23T11:48:05Z | |
dc.date.issued | 2018-09-01 | en_US |
dc.description.abstract | BACKGROUND: Biological phenotypes have been identified within several heterogeneous pulmonary diseases, with potential therapeutic consequences. OBJECTIVE: To assess whether distinct biological phenotypes exist within surgical patients, and whether development of postoperative pulmonary complications (PPCs) and subsequent dependence of intra-operative positive end-expiratory pressure (PEEP) differ between such phenotypes. SETTING: Operating rooms of six hospitals in Europe and USA. DESIGN: Secondary analysis of the 'PROtective Ventilation with HIgh or LOw PEEP' trial. PATIENTS: Adult patients scheduled for abdominal surgery who are at risk of PPCs. INTERVENTIONS: Measurement of pre-operative concentrations of seven plasma biomarkers associated with inflammation and lung injury. MAIN OUTCOME MEASURES: We applied unbiased cluster analysis to identify biological phenotypes. We then compared the proportion of patients developing PPCs within each phenotype, and associations between intra-operative PEEP levels and development of PPCs among phenotypes. RESULTS: In total, 242 patients were included. Unbiased cluster analysis clustered the patients within two biological phenotypes. Patients with phenotype 1 had lower plasma concentrations of TNF-α (3.8 [2.4 to 5.9] vs. 10.2 [8.0 to 12.1] pg ml; P < 0.001), IL-6 (2.3 [1.5 to 4.0] vs. 4.0 [2.9 to 6.5] pg ml; P < 0.001) and IL-8 (4.7 [3.1 to 8.1] vs. 8.1 [6.0 to 13.9] pg ml; P < 0.001). Phenotype 2 patients had the highest incidence of PPC (69.8 vs. 34.2% in type 1; P < 0.001). There was no interaction between phenotype and PEEP level for the development of PPCs (43.2% in high PEEP vs. 25.6% in low PEEP in phenotype 1, and 73.6% in high PEEP and 65.7% in low PEEP in phenotype 2; P for interaction = 0.503). CONCLUSION: Patients at risk of PPCs and undergoing open abdominal surgery can be clustered based on pre-operative plasma biomarker concentrations. The two identified phenotypes have different incidences of PPCs. Biologic phenotyping could be useful in future randomised controlled trials of intra-operative ventilation. TRIAL REGISTRATION: The PROtective Ventilation with HIgh or LOw PEEP trial, including the substudy from which data were used for the present analysis, was registered at ClinicalTrials.gov (NCT01441791). | en_US |
dc.identifier.citation | European journal of anaesthesiology. Vol.35, No.9 (2018), 702-709 | en_US |
dc.identifier.doi | 10.1097/EJA.0000000000000846 | en_US |
dc.identifier.issn | 13652346 | en_US |
dc.identifier.other | 2-s2.0-85061031737 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/46409 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85061031737&origin=inward | en_US |
dc.subject | Medicine | en_US |
dc.title | Association between pre-operative biological phenotypes and postoperative pulmonary complications: An unbiased cluster analysis | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85061031737&origin=inward | en_US |