A single preoperative blood test predicts postoperative sepsis and pneumonia after coronary bypass or open aneurysm surgery.


Journal

European journal of clinical investigation
ISSN: 1365-2362
Titre abrégé: Eur J Clin Invest
Pays: England
ID NLM: 0245331

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 18 06 2018
revised: 09 11 2018
accepted: 17 11 2018
pubmed: 27 11 2018
medline: 23 7 2019
entrez: 27 11 2018
Statut: ppublish

Résumé

Major surgery comes with a high risk for postoperative inflammatory complications. Preoperative risk scores predict mortality risk but fail to identify patients at risk for complications following cardiovascular surgery. We therefore assessed the value of preoperative red cell distribution width (RDW) as a predictor for pneumonia and sepsis after cardiovascular surgery and studied the relation of RDW with hematopoietic tissue activity. RDW is an easily accessible, yet seldomly used parameter from routine haematology measurements. RDW was extracted from the Utrecht Patient Orientated Database (UPOD) for preoperative measurements in patients undergoing open abdominal aortic anuerysm repair (AAA)(N = 136) or coronary artery bypass grafting (CABG)(N = 2193). The cohorts were stratified in tertiles to assess effects over the different groups. Generalized Linear Models were used to determine associations between RDW and postoperative inflammatory complications. Hematopoietic tissue activity was scored using fluor-18-(18F)-deoxyglucose positron emission tomography and associated with RDW using linear regression models. In total, 43(31.6%) and 73 patients (3.3%) suffered from inflammatory complications after AAA-repair or CABG, respectively; the majority being pneumonia in both cohorts. Postoperative inflammatory outcome incidence increased from 19.6% in the lowest to 48.9% in the highest RDW tertile with a corresponding risk ratio (RR) of 2.35 ([95%CI:1.08-5.14] P = 0.032) in AAA patients. In the CABG cohort, the incidence of postoperative inflammatory outcomes increased from 1.8% to 5.3% with an adjusted RR of 1.95 ([95%CI:1.02-3.75] P = 0.044) for the highest RDW tertile compared with the lowest RDW tertile. FDG-PET scans showed associations of RDW with tissue activity in the spleen (B = 0.517 [P = 0.001]) and the lumbar bone marrow (B = 0.480 [P = 0.004]). Elevated RDW associates with increased risk for postoperative inflammatory complications and hematopoietic tissue activity. RDW likely reflects chronic low-grade inflammation and should be considered to identify patients at risk for postoperative inflammatory complications following cardiovascular surgery.

Sections du résumé

BACKGROUND BACKGROUND
Major surgery comes with a high risk for postoperative inflammatory complications. Preoperative risk scores predict mortality risk but fail to identify patients at risk for complications following cardiovascular surgery. We therefore assessed the value of preoperative red cell distribution width (RDW) as a predictor for pneumonia and sepsis after cardiovascular surgery and studied the relation of RDW with hematopoietic tissue activity.
METHODS METHODS
RDW is an easily accessible, yet seldomly used parameter from routine haematology measurements. RDW was extracted from the Utrecht Patient Orientated Database (UPOD) for preoperative measurements in patients undergoing open abdominal aortic anuerysm repair (AAA)(N = 136) or coronary artery bypass grafting (CABG)(N = 2193). The cohorts were stratified in tertiles to assess effects over the different groups. Generalized Linear Models were used to determine associations between RDW and postoperative inflammatory complications. Hematopoietic tissue activity was scored using fluor-18-(18F)-deoxyglucose positron emission tomography and associated with RDW using linear regression models.
RESULTS RESULTS
In total, 43(31.6%) and 73 patients (3.3%) suffered from inflammatory complications after AAA-repair or CABG, respectively; the majority being pneumonia in both cohorts. Postoperative inflammatory outcome incidence increased from 19.6% in the lowest to 48.9% in the highest RDW tertile with a corresponding risk ratio (RR) of 2.35 ([95%CI:1.08-5.14] P = 0.032) in AAA patients. In the CABG cohort, the incidence of postoperative inflammatory outcomes increased from 1.8% to 5.3% with an adjusted RR of 1.95 ([95%CI:1.02-3.75] P = 0.044) for the highest RDW tertile compared with the lowest RDW tertile. FDG-PET scans showed associations of RDW with tissue activity in the spleen (B = 0.517 [P = 0.001]) and the lumbar bone marrow (B = 0.480 [P = 0.004]).
CONCLUSION CONCLUSIONS
Elevated RDW associates with increased risk for postoperative inflammatory complications and hematopoietic tissue activity. RDW likely reflects chronic low-grade inflammation and should be considered to identify patients at risk for postoperative inflammatory complications following cardiovascular surgery.

Identifiants

pubmed: 30475403
doi: 10.1111/eci.13055
doi:

Substances chimiques

Biomarkers 0
Radiopharmaceuticals 0
Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13055

Subventions

Organisme : Abbott Diagnostics
ID : -

Informations de copyright

© 2018 Stichting European Society for Clinical Investigation Journal Foundation.

Auteurs

Ian D van Koeverden (ID)

Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.

Hester M den Ruijter (HM)

Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.

Vincent P W Scholtes (VPW)

Department of Vascular Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.

Marnix G E H Lam (M)

Department of Nuclear Imaging, University Medical Center Utrecht, Utrecht, The Netherlands.

Saskia Haitjema (S)

Laboratory of Clinical Chemistry and Hematology, University Medical Center Utrecht, Utrecht, The Netherlands.

Marc P Buijsrogge (MP)

Department of Cardiothoracic Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.

Willem J L Suyker (W)

Department of Cardiothoracic Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.

Richard H van Wijk (RH)

Laboratory of Clinical Chemistry and Hematology, University Medical Center Utrecht, Utrecht, The Netherlands.

Mark C H de Groot (MCH)

Laboratory of Clinical Chemistry and Hematology, University Medical Center Utrecht, Utrecht, The Netherlands.

Joost A van Herwaarden (JA)

Department of Vascular Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.

Wouter W van Solinge (WW)

Laboratory of Clinical Chemistry and Hematology, University Medical Center Utrecht, Utrecht, The Netherlands.

Gert J de Borst (GJ)

Department of Vascular Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.

Gerard Pasterkamp (G)

Laboratory of Clinical Chemistry and Hematology, University Medical Center Utrecht, Utrecht, The Netherlands.

Imo E Hoefer (IE)

Laboratory of Clinical Chemistry and Hematology, University Medical Center Utrecht, Utrecht, The Netherlands.

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Classifications MeSH