Drain amylase aids detection of anastomotic leak after 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.

The use of grape juice in the detection of esophageal leaks

Background

Esophagectomies and repair of esophageal perforations are operations used for a variety of clinical indications. Anastomotic leaks are a major post-operative complication after these procedures. At our institution, we routinely use grape juice to detect esophageal leaks in the post-operative setting in addition to other standard imaging modalities. We hypothesize that grape juice can provide similar diagnostic sensitivity and specificity to other modalities for leak detection.

Methods

A retrospective review of all patients who underwent an esophagectomy or repair of esophageal perforations from 2013–2019 by the thoracic surgery service at our institution was performed. All patients underwent a barium swallow study, CT imaging or upper endoscopy, as well as ingesting purple grape juice on post-operative day 5 or greater. Purple grape juice observed in the tube thoracostomy drainage system was identified as a positive esophageal leak.

Results

Sixty-four patients were included in the study period (25% female, 88% white, median age 62 years old). Sixty-three patients had both a barium swallow study and grape juice test, while one patient underwent CT imaging and grape juice study. Grape juice test sensitivity and specificity were found to be 80% and 98.3%, respectively.

Conclusions

This pilot study demonstrates the effectiveness of using grape juice in detecting esophageal leaks after esophageal operations in patients with tube thoracostomies. Grape juice may be cheaper and potentially less morbid than other studies performed to detect esophageal leaks. Further research is needed to justify the increased use of grape juice in patients who undergo esophageal operations.

Drain Amylase Levels in the Early Diagnosis of Gastric Leak after Laparoscopic Sleeve Gastrectomy

OBJECTIVES

Laparoscopic sleeve gastrectomy is gaining popularity as a bariatric option. Gastric leak is the most dreaded septic complication after this procedure. This study investigated levels of drain amylase that could be useful for predicting gastric leak before its clinical presentation.

SUBJECTS AND METHODS

This prospective observational study was carried out in 167 patients who underwent sleeve gastrectomy for morbid obesity between February 2014 and March 2020. Measurement of drain amylase levels (DALs) was adapted as a routine procedure. The results of the receiver operative characteristic (ROC) curve analysis revealed an optimal drain amylase levels cutoff point of 814.18 IU/L. Consequently, the DALs were classified as DALs &lt814.18 or DALs ≥814.18 for all subsequent analyses.

RESULTS

Gastric leak occurred in 6 patients. Drain amylase levels of 167 patients were tested. The mean value for patients without leak was 71.13 ± 72.11 IU/L; for patients with leak, it was 4,687 ± 6,670 IU/L (p &lt 0.001). Using ROC curve analysis, the mean ± standard error of the area under the curve for DALs on postoperative day 1 was 0.9927 ± 0.0075, CI = 0.978-1.00, and a cutoff level at 814.18 IU/L for predicting gastric leak achieved 83.33% sensitivity and 100% specificity with positive predictive value of 100% and negative predictive value 99.38%. All patients with a leak, but one, had a drain amylase level >814.18 IU/L.

CONCLUSION

The determination of drain amylase levels after sleeve gastrectomy is a significant indicator of gastric leak with high sensitivity and specificity.

Prognostic value of inflammatory markers for detecting anastomotic leakage after esophageal resection

BACKGROUND

Early diagnosis of anastomotic leakage (AL) after esophageal resection is crucial for the successful management of this complication. Inflammatory serological markers are indicators of complications during the postoperative course. The aim of the present study was to evaluate the prognostic value of routine inflammatory markers to predict anastomotic leakage after transthoracic esophageal resection.

METHODS

Data from all consecutive patients undergoing transthoracic esophageal resection between January 2010 and December 2016 were analyzed from a prospective database. Besides clinicodemographic parameters, C-reactive protein, white blood cell count and albumin were analyzed and the Noble/Underwood (NUn) score was calculated to evaluate their predictive value for postoperative anastomotic leakage. Diagnostic accuracy was measured by sensitivity, specificity, and negative and positive predictive values using area under the receiver operator characteristics curve.

RESULTS

Overall, 233 patients with transthoracic esophageal resection were analyzed, 30-day mortality in this group was 3.4%. 57 patients (24.5%) suffered from AL, 176 patients were in the AL negative group. We found significant differences in WBCC, CRP and NUn scores between patients with and without AL, but the analyzed markers did not show an independent relevant prognostic value. For CRP levels below 155 mg/dl from POD3 to POD 7 the negative predictive value for absence of AI was > 80%. Highest diagnostic accuracy was detected for CRP levels on 4^th POD with a cut-off value of 145 mg/l reaching negative predictive value of 87%.

CONCLUSIONS

In contrast to their prognostic value in other surgical procedures, CRP, WBCC and NUn score cannot be recommended as independent markers for the prediction of anastomotic leakage after transthoracic esophageal resection. CRP is an accurate negative predictive marker and discrimination of AL and no-AL may be helpful for postoperative clinical management. Trial registration The study was approved by the local ethical committee (S635-2013).

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.

C-reactive protein as predictor of anastomotic complications after minimally invasive oesophagectomy

Background:

Anastomotic leaks after oesophagectomy with tabularised stomach replacement are a significant factor in post-operative mortality and morbidity. Early detection and treatment of this complication allow for improving operative and oncological results. When assessing laboratory values – elevation of inflammatory parameters – complicated interpretation is an issue (systemic inflammatory response syndrome, surgical versus non-surgical complication). Results studying the relationship between C-reactive protein (CRP) and complications following oesophagectomies are inconsistent. The aim of our work was to find relationships between the development of post-operative CRP values and the occurrence of anastomotic complications following minimally invasive oesophagectomy (MIE).

Materials and Methods:

Analysis of the relationship between CRP values and the occurrence of anastomotic complications or the necessity of reoperation following oesophagectomy with tabularised stomach replacement and cervical anastomosis performed using thoracoscopy and laparoscopy in a group of patients operated on for malignancies at our department between 2012 and 2015.

Results:

A significant difference was found in average CRP values on the 5^th day and 7^th day following operation between patients with and without leaks (233 mg/l vs. 122.8 mg/l P = 0.003, respectively 208.9 mg/l vs. 121.3 mg/l P = 0.014). However, on the 5^th day, the leak was clinically apparent only in one case out of 11 leaks. A significant difference in CRP values on the 5^th day was found between patients who needed revision surgery and patients without revision surgery (294 mg/l vs. 133.5 mg/l P = 0.01).

Conclusions:

Patients after MIE with tabularised stomach replacement and cervical anastomosis complicated by anastomotic leaks or with the necessity for reoperation had a significantly higher CRP values on the 5^th day following operation than patients without complications, regardless of the presence of clinical signs of leaks.