TY - JOUR
T1 - Association between pre-operative biological phenotypes and postoperative pulmonary complications
AU - for the PROVHILOM
AU - the PROVEMM investigators
AU - Neto, Ary Serpa
AU - Bos, Lieuwe D.
AU - Campos, Pedro P.Z.A.
AU - Hemmes, Sabrine N.T.
AU - Bluth, Thomas
AU - Calfee, Carolyn S.
AU - Ferner, Marion
AU - Güldner, Andreas
AU - Hollmann, Markus W.
AU - India, Inmaculada
AU - Kiss, Thomas
AU - Laufenberg-Feldmann, Rita
AU - Sprung, Juraj
AU - Sulemanji, Demet
AU - Unzueta, Carmen
AU - Vidal Melo, Marcos F.
AU - Weingarten, Toby N.
AU - Tuip-De Boer, Anita M.
AU - Pelosi, Paolo
AU - de Abreu, Marcelo Gama
AU - Schultz, Marcus J.
N1 - Publisher Copyright:
Copyright ß 2018 European Society of Anaesthesiology. All rights reserved.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - 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-a (3.8 [2.4 to 5.9] vs. 10.2 [8.0 to 12.1] pg ml-1; P < 0.001), IL-6 (2.3 [1.5 to 4.0] vs. 4.0 [2.9 to 6.5] pg ml-1; P < 0.001) and IL-8 (4.7 [3.1 to 8.1] vs. 8.1 [6.0 to 13.9] pg ml-1; 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 preoperative 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).
AB - 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-a (3.8 [2.4 to 5.9] vs. 10.2 [8.0 to 12.1] pg ml-1; P < 0.001), IL-6 (2.3 [1.5 to 4.0] vs. 4.0 [2.9 to 6.5] pg ml-1; P < 0.001) and IL-8 (4.7 [3.1 to 8.1] vs. 8.1 [6.0 to 13.9] pg ml-1; 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 preoperative 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).
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U2 - 10.1097/EJA.0000000000000846
DO - 10.1097/EJA.0000000000000846
M3 - Article
C2 - 29957706
AN - SCOPUS:85061031737
SN - 0265-0215
VL - 35
SP - 702
EP - 709
JO - European Journal of Anaesthesiology
JF - European Journal of Anaesthesiology
IS - 9
ER -