The predictive value of plasma cytokines on gastroesophageal anastomotic leakage at an early stage in patients undergoing esophagectomy

A real-world study was conducted to develop a nomogram that predicts the occurrence of anastomotic leakage in patients with esophageal cancer following esophagectomy

BACKGROUND

The incidence of anastomotic leakage (AL) following esophagectomy is regarded as a noteworthy complication. There is a need for biomarkers to facilitate early diagnosis of AL in high-risk esophageal cancer (EC) patients, thereby minimizing its morbidity and mortality. We assessed the predictive abilities of inflammatory biomarkers for AL in patients after esophagectomy.

METHODS

In order to ascertain the predictive efficacy of biomarkers for AL, Receiver Operating Characteristic (ROC) curves were generated. Furthermore, univariate, LASSO, and multivariate logistic regression analyses were conducted to discern the risk factors associated with AL. Based on these identified risk factors, a diagnostic nomogram model was formulated and subsequently assessed for its predictive performance.

RESULTS

Among the 438 patients diagnosed with EC, a total of 25 patients encountered AL. Notably, elevated levels of interleukin-6 (IL-6), IL-10, C-reactive protein (CRP), and procalcitonin (PCT) were observed in the AL group as compared to the non-AL group, demonstrating statistical significance. Particularly, IL-6 exhibited the highest predictive capacity for early postoperative AL, exhibiting a sensitivity of 92.00% and specificity of 61.02% at a cut-off value of 132.13 pg/ml. Univariate, LASSO, and multivariate logistic regression analyses revealed that fasting blood glucose ≥7.0mmol/L and heightened levels of IL-10, IL-6, CRP, and PCT were associated with an augmented risk of AL. Consequently, a nomogram model was formulated based on the results of multivariate logistic analyses. The diagnostic nomogram model displayed a robust discriminatory ability in predicting AL, as indicated by a C-Index value of 0.940. Moreover, the decision curve analysis provided further evidence supporting the clinical utility of this diagnostic nomogram model.

CONCLUSIONS

This predictive instrument can serve as a valuable resource for clinicians, empowering them to make informed clinical judgments aimed at averting the onset of AL.

Efficacy of Biomarkers in Predicting Anastomotic Leakage After Gastrointestinal Resection: A Systematic Review and Meta-Analysis

Our systematic review and meta-analysis were designed to evaluate the published literature from 2016 to 2019 on which the role of biomarkers in predicting the anastomotic leakage (AL) in gastroesophageal cancer surgery was investigated. This extensive literature search was conducted on the principles of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. PubMed, Medical Literature Analysis and Retrieval System Online (MEDLINE), and Excerpta Medica dataBASE (EMBASE) were used to gather the relevant information. No restrictions were made on the type of biomarkers. Wald or likelihood ratio (LRT) fixed effect tests were used to estimate the pooled prevalence to generate the proportions with 95% confidence intervals (CI) and model-fitted weights. For analyzing heterogeneity, the Cochran Q test and I square test were used. The Egger regression asymmetry test and funnel plot were used for publication. In this meta-analysis, a total of 15 studies were recruited with 1892 patients undergoing the resection. The pooled elevated C-reactive protein (CRP) was observed as 13.9% ranging from 11.6% to 16.1%. The pooled prevalence of other biomarkers with AL was observed as 4.4%. Significant heterogeneity was observed between studies that reported CRP and other biomarkers (92% each with chi-squared values of 78.80 and 122.78, respectively). However, no significant publication was observed between studies (p=0.61 and p=0.11, respectively). We concluded our study on this note that different biomarkers are involved in the diagnosis of AL. However, all these biomarkers are poor predictors with insufficient predictive value and sensitivity.

Role of Interleukin-6 in Prediction of Early Complications After Minimally Invasive Oesophagectomy-a Pilot Study

Infectious complications following oesophagectomy are associated with significant morbidity. Early prediction of these complications may mitigate significant morbidity and mortality. Patients undergoing minimally invasive oesophagectomy for carcinoma oesophagus between January 2019 and June 2020 were included in the study. All patients underwent standard preoperative investigations and preparation. Post-operative complications including infectious complications were recorded. Association of post-operative serum interleukin-6 (IL-6) levels with post-operative complications were analysed. A total of twenty-two participants were included in the study (median age; 51 years, 13 (%) male). The tumour site was middle 1/3rd of oesophagus in 13 (59.1%), lower 1/3rd of oesophagus in 9 (40.9%). The tumour histology was squamous cell carcinoma in all patients. Eight (36.4 %) patients developed major complications and five of them developed anastomotic leak. IL-6 levels were significantly higher on POD 3 in patients who developed major complications (p = 0.009) and anastomotic leak (p = 0.031). At receiver operating characteristic curve (ROC curve) analysis, an IL-6 cut-off level of 36.4 pg/ml on POD 3 yielded a sensitivity of 87% and a specificity of 79% for the prediction of major complication and cut-off level of 44.3 pg/ml on POD 3 yielded a sensitivity of 80% and a specificity of 82% for the prediction of anastomotic leak. A high post-operative IL-6 level helps in the prediction of major complications and cervical oesophagogastric anastomotic leak.

Risk factors and outcomes associated with anastomotic leaks following esophagectomy: a systematic review and meta-analysis

Anastomotic leaks (AL) are a major complication after esophagectomy. This meta-analysis aimed to determine identify risks factors for AL (preoperative, intra-operative, and post-operative factors) and assess the consequences to outcome on patients who developed an AL. This systematic review was performed according to PRISMA guidelines, and eligible studies were identified through a search of PubMed, Scopus, and Cochrane CENTRAL databases up to 31 December 2018. A meta-analysis was conducted with the use of random-effects modeling and prospectively registered with the PROSPERO database (Registration CRD42018130732). This review identified 174 studies reporting outcomes of 74,226 patients undergoing esophagectomy. The overall pooled AL rates were 11%, ranging from 0 to 49% in individual studies. Majority of studies were from Asia (n = 79). In pooled analyses, 23 factors were associated with AL (17 preoperative and six intraoperative). AL were associated with adverse outcomes including pulmonary (OR: 4.54, CI95%: 2.99-6.89, P < 0.001) and cardiac complications (OR: 2.44, CI95%: 1.77-3.37, P < 0.001), prolonged hospital stay (mean difference: 15 days, CI95%: 10-21 days, P < 0.001), and in-hospital mortality (OR: 5.91, CI95%: 1.41-24.79, P = 0.015). AL are a major complication following esophagectomy accounting for major morbidity and mortality. This meta-analysis identified modifiable risk factors for AL, which can be a target for interventions to reduce AL rates. Furthermore, identification of both modifiable and non-modifiable risk factors will facilitate risk stratification and prediction of AL enabling better perioperative planning, patient counseling, and informed consent.

Systematic Review of the Role of Biomarkers in Predicting Anastomotic Leakage Following Gastroesophageal Cancer Surgery

Anastomotic leakage (AL) following gastroesophageal cancer surgery remains a serious postoperative complication. This systematic review aims to provide an overview of investigated biomarkers for the early detection of AL following esophagectomy, esophagogastrectomy and gastrectomy. All published studies evaluating the diagnostic accuracy of biomarkers predicting AL following gastroesophageal resection for cancer were included. The Embase, Medline, Cochrane Library, PubMed and Web of Science databases were searched. Risk of bias and applicability were assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) 2 tool. Twenty-four studies evaluated biomarkers in the context of AL following gastroesophageal cancer surgery. Biomarkers were derived from the systemic circulation, mediastinal and peritoneal drains, urine and mediastinal microdialysis. The most commonly evaluated serum biomarkers were C-reactive protein and leucocytes. Both proved to be useful markers for excluding AL owing to its high specificity and negative predictive values. Amylase was the most commonly evaluated peritoneal drain biomarker and significantly elevated levels can predict AL in the early postoperative period. The associated area under the receiver operating characteristic (AUROC) curve values ranged from 0.482 to 0.994. Current biomarkers are poor predictors of AL after gastroesophageal cancer surgery owing to insufficient sensitivity and positive predictive value. Further research is needed to identify better diagnostic tools to predict AL.

Cytokine Response in the Pleural Fluid and Blood in Minimally Invasive and Open Esophagectomy

BACKGROUND

Transthoracic esophagectomy for cancer triggers a massive inflammatory reaction. The data whether a minimally invasive esophagectomy (MIE) leads to less pronounced inflammatory response compared to open right-sided transthoracic esophagectomy (OE) are scarce. The aim of this study was to evaluate the extent of the inflammatory reaction, represented by levels of the pro-inflammatory interleukins IL-6 and IL-8, the anti-inflammatory IL-1 RA and the chemokines CINC-1 and MCP-1 in the right pleural fluid and the blood from patients undergoing standard OE or MIE.

METHODS

Pleural drainage fluid and blood was collected at five different time points during the first 72 h following surgery, and the concentrations of IL-6, IL-8, IL-1 RA, CINC-1 and MCP-1 were analyzed using enzyme-linked immune-sorbent assays in 24 patients undergoing MIE or OE.

RESULTS

The groups were matched for cancer stage and comorbidities. Pro- and anti-inflammatory mediator levels in the pleural fluid were markedly increased at the end of surgery and on postoperative days 1-3. The pleural inflammatory response of all cyto- and chemokines was lower in the MIE group, reaching significance at some time points. Cyto- and chemokine response levels measured in the blood were overall lower compared to those in the pleural fluid. The chemokines CINC-1 and MCP-1 reacted less pronounced or not at all. Preoperative pulmonary comorbidity, postoperative pulmonary morbidity and length of surgery were associated with an increased reaction in selected mediators.

CONCLUSIONS

The minimally invasive technique attenuates the inflammatory response, especially locally in the thoracic compartment. Length of procedure, preoperative pulmonary comorbidity and postoperative pulmonary complications are mirrored in an increase in individual inflammatory markers in the pleural fluid. The value of the chemokines CINC-1 and MCP-1 as markers of inflammation in the setting of esophagectomy is unclear.