A multicentre cohort study of serum and peritoneal biomarkers to predict anastomotic leakage after rectal cancer resection.
Anastomotic Leak
/ etiology
Ascitic Fluid
/ metabolism
Biomarkers
/ analysis
C-Reactive Protein
/ analysis
Drainage
Female
Humans
Logistic Models
Male
Matrix Metalloproteinase 9
/ analysis
Middle Aged
Nomograms
Peritoneum
/ metabolism
Postoperative Period
Predictive Value of Tests
Proctectomy
/ adverse effects
Prospective Studies
Rectal Neoplasms
/ surgery
Risk Assessment
/ methods
Risk Factors
Anastomotic leakage
biomarkers
drain fluid
early detection
rectal resection
Journal
Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
ISSN: 1463-1318
Titre abrégé: Colorectal Dis
Pays: England
ID NLM: 100883611
Informations de publication
Date de publication:
01 2020
01 2020
Historique:
received:
05
04
2019
accepted:
19
07
2019
pubmed:
26
7
2019
medline:
23
4
2021
entrez:
26
7
2019
Statut:
ppublish
Résumé
Anastomotic leakage (AL) is one of the most feared complications after rectal resection. This study aimed to assess a combination of biomarkers for early detection of AL after rectal cancer resection. This study was an international multicentre prospective cohort study. All patients received a pelvic drain after rectal cancer resection. On the first three postoperative days drain fluid was collected daily and C-reactive protein (CRP) was measured. Matrix metalloproteinase-2 (MMP2), MMP9, glucose, lactate, interleukin 1-beta (IL1β), IL6, IL10, tumour necrosis factor alpha (TNFα), Escherichia coli, Enterococcus faecalis, lipopolysaccharide-binding protein and amylase were measured in the drain fluid. Prediction models for AL were built for each postoperative day using multivariate penalized logistic regression. Model performance was estimated by the c-index for discrimination. The model with the best performance was visualized with a nomogram and calibration was plotted. A total of 292 patients were analysed; 38 (13.0%) patients suffered from AL, with a median interval to diagnosis of 6.0 (interquartile ratio 4.0-14.8) days. AL occurred less often after partial than after total mesorectal excision (4.9% vs 15.2%, P = 0.035). Of all patients with AL, 26 (68.4%) required reoperation. AL was more often treated by reoperation in patients without a diverting ileostomy (18/20 vs 8/18, P = 0.03). The prediction model for postoperative day 1 included MMP9, TNFα, diverting ileostomy and surgical technique (c-index = 0.71). The prediction model for postoperative day 2 only included CRP (c-index = 0.69). The prediction model for postoperative day 3 included CRP and MMP9 and obtained the best model performance (c-index = 0.78). The combination of serum CRP and peritoneal MMP9 may be useful for earlier prediction of AL after rectal cancer resection. In clinical practice, this combination of biomarkers should be interpreted in the clinical context as with any other diagnostic tool.
Identifiants
pubmed: 31344302
doi: 10.1111/codi.14789
pmc: PMC6973162
doi:
Substances chimiques
Biomarkers
0
C-Reactive Protein
9007-41-4
Matrix Metalloproteinase 9
EC 3.4.24.35
Types de publication
Journal Article
Multicenter Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
36-45Informations de copyright
© 2019 The Authors. Colorectal Disease published by John Wiley & Sons Ltd on behalf of Association of Coloproctology of Great Britain and Ireland.
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