High serum lactate as an adjunct in the early prediction of anastomotic leak following oesophagectomy

Early Postoperative Serum Lactate Levels Predict Anastomotic Leakage After Minimally Invasive Esophagectomy

BACKGROUND

Anastomotic leakage (AL) is a major complication after esophagectomy for esophageal cancer, and the significance of elevated postoperative lactate levels in the occurrence of AL is unclear.

PATIENTS AND METHODS

We evaluated 583 patients who underwent minimally invasive esophagectomy for esophageal cancer. Serum lactate levels were measured immediately after esophagectomy and in the morning on postoperative days (POD) 1, 2, 3, and 4. We also evaluated the factors associated with AL using multivariable logistic regression analysis.

RESULTS

AL occurred in 8.9% (n = 52) of patients, and the median onset of AL was POD10 (interquartile range: 7-13). The lactate levels immediately after esophagectomy through POD3 were significantly higher in patients with AL than in those without AL. A further multivariable logistic regression analysis showed that elevated lactate level on POD2 was an independent predictor of the occurrence of AL (odds ratio 11.9; 95% confidence interval: 4.04-17.3; P < 0.001). Severe AL was significantly more frequent in the higher lactate patients (P < 0.001). Furthermore, in patients with AL with higher lactate, the onset tended to be earlier (P = 0.054), and the treatment duration of AL was significantly longer compared with those with lower lactate (P = 0.037).

CONCLUSIONS

AL was significantly associated with elevated postoperative lactate levels. Elevated lactate levels on POD2 could be significant predictor of AL development after esophagectomy.

Role of Biomarkers in the Diagnosis of Anastomotic Leakage After Colorectal Surgery: A Systematic Review and Meta-Analysis

Due to its diverse presentation, anastomotic leakage (AL) following colorectal surgery is challenging to detect and frequently discovered when the patient becomes critically ill. When diagnosing AL in its early stages, biomarkers play a large role. This review was conducted to evaluate the diagnostic value of biomarkers in AL after colorectal surgeries. A literature search was undertaken electronically in major search engines such as Medline (PubMed), Google Scholar, ScienceDirect, EMBASE, and CENTRAL (Cochrane Library) databases. Observational studies of both retrospective and prospective nature were included. Origin Pro 2022 (Origin Labs) software was used to assess the prevalence of AL and generate the forest plot. A total of 13 articles fulfilled the eligibility criteria. A pooled prevalence of 9.19% was noted for AL in colorectal surgeries. In the present review, the observed sensitivity for C-reactive protein (CRP) was 80.5% and the specificity was 84% (postoperative day three). In contrast, these were 100% and 83.9% for procalcitonin on postoperative day five. CRP showed the highest diagnostic accuracy and excels at eliminating AL, but combining biomarkers can increase the diagnostic precision of early detection of AL.

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.

Frequency of blood lactate elevation following esophagectomy and its association to postoperative complications

BACKGROUND

Esophagectomy is a major surgical intervention and a cornerstone in the treatment of esophageal cancer. There is clinical experience that blood lactate concentration often is elevated in the period following esophagectomy, but the incidence and clinical consequences are sparsely studied.

METHODS

We extracted data from all patients undergoing esophagectomy at Karolinska University Hospital 2016-2018, n = 153. Most were performed with minimally invasive technique, n = 130. Blood lactate values directly after surgery, highest value during the first night, and morning level on postoperative day one were recorded. Primary outcome was hospital length of stay and secondary outcome was a composite of postoperative infection, additional surgery, or intensive care during the hospital stay. Development of anastomotic leak was analyzed separately.

RESULTS

Postoperative hyperlactatemia was common as 93% of patients had peak lactate concentration >1.6 mmol/L and 27% >3.5 mmol/L in the first night following operation. Median hospital length of stay was 14 days. Blood lactate showed a weak correlation to hospital stay and intensive care the morning following surgery, but not at arrival to postoperative ward. There were no statistical differences between those with and without anastomotic leak at any of the time points. Elevated lactate in the first 12-16 h postoperatively was related to surgical factors (open technique, surgery time, and perioperative bleeding) but not to patient related factors (ASA-class, Charlson comorbidity index, sex, age) or cumulative fluid balance.

CONCLUSION

In conclusion, elevated blood lactate in the immediate time following esophagectomy showed a weak association to intensive care and length of stay but not anastomotic leak.

Development of nomograms predictive of anastomotic leakage in patients before minimally invasive McKeown esophagectomy

Purpose

The present study aims to identify factors related to anastomotic leakage before esophagectomy and to construct a prediction model.

Methods

A retrospective analysis of 285 patients who underwent minimally invasive esophagectomy (MIE). An absolute shrinkage and selection operator was applied to screen the variables, and predictive models were developed using binary logistic regression.

Results

A total of 28 variables were collected in this study. LASSO regression analysis, combined with previous literature and clinical experience, finally screened out four variables, including aortic calcification, heart disease, BMI, and FEV1. A binary logistic regression was conducted on the four predictors, and a prediction model was established. The prediction model showed good discrimination and calibration, with a C-statistic of 0.67 (95% CI, 0.593-0.743), a calibration curve fitting a 45° slope, and a Brier score of 0.179. The DCA demonstrated that the prediction nomogram was clinically useful. In the internal validation, the C-statistic still reaches 0.66, and the calibration curve has a good effect.

Conclusions

When patients have aortic calcification, heart disease, obesity, and a low FEV1, the risk of anastomotic leakage is higher, and relevant surgical techniques can be used to prevent it. Therefore, the clinical prediction model is a practical tool to guide surgeons in the primary prevention of anastomotic leakage.

C-reactive protein and drain amylase: their utility in ruling out anastomotic leakage after minimally invasive Ivor-Lewis esophagectomy

INTRODUCTION

Anastomotic leakage (AL) is one of the most feared complications after esophagectomy for esophageal cancer. We investigated the role of serum C-reactive protein (CRP) and drain amylase levels in the early detection of AL.

METHODS

This is a retrospective study of 193 patients who underwent a minimally invasive Ivor-Lewis procedure between January 2017 and October 2021. Mean CRP and median drain amylase levels between patients with and without AL were compared during the first five postoperative days (POD). ROC curves on POD 3, 4 and 5 were plotted to calculate cut-off values for CRP.

RESULTS

In 30 of the 193 patients (16%), AL was diagnosed with a median time to diagnosis of 9 days. Mean CRP was significantly higher in patients with AL on POD 3, 4 and 5. Cut-off values of 59, 110 and 106 mg/L had a high sensitivity of 93%, 90% and 90% on POD 3, 4 and 5. No difference in median drain amylase levels was observed.

CONCLUSIONS

CRP levels with a cut-off point of 110 mg/L on POD 4 do not improve earlier detection of AL, but have a high sensitivity for excluding AL. The value of drain amylase in the first 5 days after surgery is limited.

Serum albumin at resection predicts in-hospital death, while serum lactate and aPTT on the first postoperative day anticipate anastomotic leakage after Ivor-Lewis-esophagectomy

Background

Anastomotic leakage (AL) is a major complication after esophagectomy, potentiating morbidity and mortality. There are several patient risk factors associated with AL, but high-fidelity postoperative predictors are still under debate. The aim was to identify novel reliable predictors for AL after esophagectomy.

Methods

A high-volume single-center database study, including 138 patients receiving Ivor-Lewis-esophagectomy between 2017 and 2019, was performed. Serum levels of albumin, aPTT, and lactate before and after surgery were extracted to assess their impact on AL and in-hospital mortality.

Results

High serum lactate on postoperative day 1 (POD1) could be shown to predict AL after esophagectomy [AL vs. no AL: 1.2 (0.38) vs. 1.0 (0.37); p < 0.001]. Accordingly, also differences of serum lactate level between end (POD0-2) and start of surgery (POD0-1) (p < 0.001) as well as between POD1 and POD0-1 (p < 0.001) were associated with AL. Accordingly, logistic regression identified serum lactate on POD 1 as an independent predictor of AL [HR: 4.37 (95% CI: 1.28–14.86); p = 0.018]. Further, low serum albumin on POD0 [2.6 (0.53) vs. 3.1 (0.56); p = 0.001] and high serum lactate on POD 0–1 [1.1 (0.29) vs. 0.9 (0.30); p = 0.043] were associated with in-hospital death. Strikingly, logistic-regression (HR: 0.111; p = 0.008) and cox-regression analysis (HR: 0.118; p = 0.003) showed low serum albumin as an independently predictor for in-hospital death after esophagectomy.

Conclusions

This study identified high serum lactate as an independent predictor of AL and low serum albumin as a high-fidelity predictor of in-hospital death after esophagectomy. These parameters can facilitate improved postoperative treatment leading to better short-term as well as long-term outcomes.

Usefulness of delta neutrophil index as a biomarker to predict postoperative complication in patients who underwent esophagectomy: A case-control study

Esophagectomy demonstrates a high incidence of complications owing to its complexity and invasiveness; hence, early detection of complications is important. We aimed to evaluate the predictive value of the delta neutrophil index (DNI) for complications after esophagectomy.We retrospectively analyzed patients who underwent esophagectomy in the department of general surgery at a single institution between January 2011 and October 2020. Patient characteristics, laboratory findings, and clinical outcomes were assessed.Fifty-seven patients were enrolled in this study, of whom 31 (54.4%) had complications. The complication group had significantly longer mean mechanical ventilation, hospital stay and intensive care unit stay periods, and higher acute physiology, age, chronic health evaluation score and mortality rate than the noncomplication group. DNI on postoperative day (POD) 2 was also significantly higher in the complication group. Logistic regression analysis showed that DNI on POD 2 was an independent risk factor associated with the complications. Receiver operating characteristic curve analysis showed that the area under curve of DNI on POD 2 was 0.712 (cutoff value: 2.15%, sensitivity 61.5%, and specificity 70.8%).Our study indicated that postoperative DNI can be useful as an early predictive biomarker of the complications after esophagectomy.

Oxidative Stress Level as a Predictor of Anastomotic Leakage after Rectal Surgery

Background

Early diagnosis of anastomotic leakage (AL) after rectal surgery can reduce the adverse effects of AL, thereby reducing morbidity and mortality. Currently, there are no accepted indicators or effective scoring systems that can clearly identify patients at risk of anastomotic leakage.

Methods

A prospective study with assessment of the diagnostic accuracy of oxidative stress level (CAT, SOD, MDA) in serum and drain fluid compared to white blood cell count (WBC), C-reactive protein (CRP), and neutrophil percentage (NEUT) in prediction of AL in patients undergoing elective rectal surgery with anastomosis.

Results

Most of the oxidative stress indicators we detected are of considerable significance in the diagnosis of anastomotic leakage. The level of MDA on postoperative day (POD)3 (areas under the curve (AUC): 0.831) and POD5 (AUC: 0.837) in the serum and on POD3 (AUC: 0.845) in the drain fluid showed the same excellent diagnostic accuracy as the level of CRP on the POD3 (AUC: 0.847) and POD5 (AUC: 0.896).

Conclusions

The overall level of oxidative stress in serum and drain fluid is a reliable indicator for the early diagnosis of anastomotic leakage after rectal surgery. More specifically, among the redox indicators analyzed, MDA has almost the same predictive value as CRP, which provides another useful biomarker for the early diagnosis of anastomotic leakage.

Risk Factors of Cervical Anastomotic Leakage after McKeown Minimally Invasive Esophagectomy: Focus on Preoperative and Intraoperative Lung Function

Background: Cervical anastomotic leakage (CAL) is one of the most common complications that occur minimally invasive esophagectomy (MIE). It is associated with high postoperative mortality. Some risk factors still remained controversial and so accurate prediction of risk groups for CAL remained very difficult. This study aimed to identify the risk factors of CAL after McKeown MIE to predict the accuracy of the technique as early as possible.

Material and Methods: A total of 129 patients with esophageal cancer who underwent McKeown MIE at the Department of Thoracic Surgery, the Fourth Hospital of Hebei Medical University, between January 2018 and June 2019 were retrospectively reviewed. Multivariate logistic regression analysis was used to identify the risk factors for CAL and receiver operating characteristic (ROC) curve analysis was used to predict the accuracy for each quantitative data variable and determine the cutoff value.

Results: There were statistically significant differences between Group CAL and Group NCAL in FEV₁ (p = 0.031), neoadjuvant chemotherapy (p = 0.001), intraoperative minimum PaCO₂ (p = 0.002), and hospital stays (p <0.001). In multivariate logistic regression, FEV₁ (OR = 0.440, p = 0.047), neoadjuvant chemotherapy (OR = 4.425, p = 0.003), and intraoperative minimum PaCO₂ (OR = 1.14, p <0.001) were identified to be three risk factors of CAL. The ROC curve analysis showed that FEV₁ <2.18L (p = 0.029) and intraoperative minimum PaCO₂ >45.5 mmHg (p = 0.002) demonstrated good accuracy.

Conclusion: FEV₁, neoadjuvant chemotherapy, and intraoperative minimum PaCO₂ in arterial blood gas (ABG) were considered as risk factors of CAL after McKeown MIE for esophageal cancer. Preoperative FEV₁ <2.18L and intraoperative minimum PaCO₂ >45.5 mmHg in ABG showed good accuracy in predicting risk factors for CAL.

Diagnosing anastomotic leak post-esophagectomy: a systematic review

Esophagectomy is the gold-standard treatment for esophageal cancer; however, postoperative anastomotic leakage remains the primary concern for surgeons. No consensus exists on the optimal investigations to predict an anastomotic leak. This systematic review aims to identify a single test or combination of tests with acceptable sensitivity and specificity to identify anastomotic leak after esophagectomy and to formulate a diagnostic algorithm to facilitate surgical decision-making. A systematic review of PubMed and EMBASE databases was undertaken to evaluate diagnostic investigations for anastomotic leak post-esophagectomy. Each study was reviewed and where possible, the sensitivity, specificity, positive predictive value, and negative predictive value were extracted. The review identified 3,204 articles, of which 49 met the inclusion criteria. Investigations most commonly used for diagnosis of anastomotic leak were: C-reactive protein (CRP), oral contrast imaging, computed tomography (CT), pleural drain amylase concentration, and the 'NUn score'. The sensitivity of CRP for detecting anastomotic leak varied from 69.2% to 100%. Oral contrast studies sensitivities varied between 16% and 87.5% and specificity varied from 20% to 100%. Pleural drain amylase sensitivities ranged between 75% and 100% and specificity ranged from 52% to 95.5%. The NUn score sensitivities ranged from 0% to 95% and specificity from 49% to 94.4%. No single investigation was identified to rule out anastomotic leak in asymptomatic patients. However, the authors propose a diagnostic algorithm incorporating CRP, pleural drain amylase concentration, and CT with oral contrast to aid clinicians in predicting anastomotic leak to facilitate safe, timely discharge post-esophagectomy.

The Predictive Value of Inflammatory Biomarkers in Esophageal Anastomotic Leaks

BACKGROUND

This study investigated the role of the neutrophil-to-lymphocyte ratio (NLR) in predicting anastomotic leak (AL) after esophagectomy for esophageal adenocarcinoma.

METHODS

This is a retrospective analysis of a prospectively collected database from the McGill University Health Center. Included were all patients with esophageal adenocarcinoma who underwent esophagectomy between 2005 and 2016. Patients with chronic infections, concurrent active malignancies, and autoimmune conditions were excluded. NLR values were obtained on postoperative days (POD) 0, 1, 2, and 3. Receiver operating characteristic curve study and multivariable logistic analysis were conducted to evaluate the diagnostic value of NLR.

RESULTS

The study included 330 patients, and AL developed in 16%. Mean NLR values on POD1, 2, and 3 were higher in patients with leaks (20 vs 14 on POD1, P < .001; 20 vs 12 on POD2, P < .001; and 19 vs 10 on POD3, P < .001). The NLR value on POD3 was associated with an area under the curve of 70% and a negative predictive value of 92.4%. Multivariable analyses identified higher American Society of Anesthesiologists Physical Status Classification, increasing NLR trend (between POD1 and POD3), POD1 NLR, POD2 NLR, and POD3 NLR as independent factors associated with AL.

CONCLUSIONS

Patients who developed AL demonstrate higher mean NLR values in the early postoperative period with rising trends. Conversely a low NLR is associated with a high negative predictive value for AL. This simple metric allows risk stratification that may guide treatment decisions in esophagectomy patients.

A nomogram illustrating the probability of anastomotic leakage following cervical esophagogastrostomy

BACKGROUND

Early diagnosis of anastomotic dehiscence following cervical esophagogastrostomy may become difficult. Estimation of an individual probability could help to establish preventive and diagnostic measures. The predictive impact of epidemiological, surgery-related data and laboratory parameters on the development of anastomotic dehiscence was investigated in the immediate perioperative period.

METHODS

Retrospective study in 412 patients with cervical esophagogastrostomy following esophagectomy. Epidemiological data, risk factors, underlying disease, pre-treatment- and surgery-related data, C-reactive protein and albumin levels pre-and post-operatively were evaluated. We applied univariable and multivariable logistic regression analysis and developed a nomogram for individual risk assessment.

RESULTS

There were 345 male, 67 female patients, mean aged 61.5 years; 284 had orthotopic, 128 retrosternal gastric pull-up; 331 patients had carcinoma, 81 non-malignant disease. Mean duration of operation was 184 min; 235 patients had manual, 113 mechanical and 64 semi-mechanical suturing; 76 patients (18.5%) developed anastomotic dehiscence clinically evident at mean 11.4 days after surgery. In univariable testing young age, retrosternal conduit transposition, manual suturing, high body mass index, high ASA and high postoperative levels of C-reactive protein were predictors for anastomotic leakage. These six parameters which had yielded a p < 0.1 in the univariable analysis, were entered into a multivariable analysis and a nomogram allowing the determination of the patient's individual risk was created.

CONCLUSION

By using the nomogram as a supportive measure in the perioperative management, the patient's individual probability of developing an anastomotic leak could be quantified which may help to take preventive measures improving the outcome.

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.

Impact of postoperative complications on survival after oesophagectomy for oesophageal cancer

BACKGROUND

Recent evidence suggests that complications after oesophagectomy may decrease short- and long-term survival of patients with oesophageal cancer. This study aimed to analyse the impact of complications on survival in a Western cohort.

METHODS

Complications after oesophagectomy were recorded for all patients operated on between January 2006 and February 2017, with severity defined using the Clavien-Dindo classification. Associations between complications and overall and recurrence-free survival were assessed using univariable and multivariable Cox regression models.

RESULTS

Of 430 patients, 292 (67·9 per cent) developed postoperative complications, with 128 (39·8 per cent) classified as Clavien-Dindo grade III or IV. No significant associations were detected between Clavien-Dindo grade and either tumour (T) (P = 0·071) or nodal (N) status (P = 0·882). There was a significant correlation between Clavien-Dindo grade and ASA fitness grade (P = 0·032). In multivariable analysis, overall survival in patients with Clavien-Dindo grade I complications was similar to that in patients with no complications (hazard ratio (HR) 0·97, P = 0·915). However, patients with grade II and IV complications had significantly shorter overall survival than those with no complications: HR 1·64 (P = 0·007) and 1·74 (P = 0·013) respectively.

CONCLUSION

Increasing severity of complications after oesophagectomy was associated with decreased overall survival. Prevention of complications should improve survival.

Study protocol for a multicenter prospective cohort study on esophagogastric anastomoses and anastomotic leak (the Oesophago-Gastric Anastomosis Audit/OGAA)

Esophagectomy is a mainstay in curative treatment for esophageal cancer; however, the reported techniques and outcomes can vary greatly. Thirty-day mortality of patients with an intact anastomosis is 2-3% as compared to 17-35% in patients who have an anastomotic leak. The subsequent management of leaks postesophagectomy has great global variability with little consensus on a gold standard of practice. The aim of this multicentre prospective audit is to analyze current techniques of esophagogastric anastomosis to determine the effect on the anastomotic leak rate. Leak rates and leak management will be assessed to determine their impact on patient outcomes. A 12-month international multicentre prospective audit started in April 2018 and is coordinated by a team from the West Midlands Research Collaborative. This will include patients undergoing esophagectomy over 9 months and encompassing a 90-day follow-up period. A pilot data collection period occurred at four UK centers in 2017 to trial the data collection form. The audit standards will include anastomotic leak and the conduit necrosis rate should be less than 13% and major postoperative morbidity (Clavien-Dindo Grade III or more) should be less than 35%. The 30-day mortality rate should be less than 5% and the 90-day mortality rate should be less than 8%. This will be a trainee-led international audit of esophagectomy practice. Key support will be given by consultant colleagues and anesthetists. Individualized unit data will be distributed to the respective contributing sites. An overall anonymized report will be made available to contributing units. Results of the audit will be published in peer-reviewed journals with all collaborators fully acknowledged. The key information and results from the audit will be disseminated at relevant scientific meetings.

Validation of the NUn score as a predictor of anastomotic leak and major complications after Esophagectomy

Predicting major anastomotic leak (AL) and major complications (Clavien-Dindo 3-5) following esophagectomy improves postoperative management of patients. The role of the NUn score in their prediction is controversial. This study aims to evaluate the predictive ability of this simple score. Data were retrospectively collected for consecutive esophagectomies over a 10-year period, and NUn scores were retrospectively calculated for each patient from informatics data. A standardized definition of major AL was used, excluding minor asymptomatic, radiologically detected leaks. The predictive accuracy of the NUn score and its constituent parts, for major AL and major complications, was assessed using area under receiver operating characteristics curves (AUROCs). Of 382 patients, 48 (13%) developed major AL and 123 (32%) developed major complications. The NUn score calculated on postoperative day 4 was significantly predictive of both outcomes, with AUROCs of 0.77 and 0.71, respectively (both P < 0.001). A NUn score cut-off of 10 had a negative predictive value of 95% for major AL. The NUn score was predictive of major complications on multivariable analysis. The NUn score was found to be a significant predictor of major AL, suggesting that this is a useful early warning score for major AL. The score may also be useful in identifying patients that are the most likely to benefit from enhanced recovery protocols.

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.

Early detection of complications: anastomotic leakage

Anastomotic leakage (AL) is one of the most critical and detrimental complications in esophageal surgery. Early diagnosis and timely therapeutic action are necessary if patients are to avoid AL-related problems. However, there is no gold standard or consensus for early diagnosis. In this review, we focus on summarizing the definition and types of AL and modalities for early diagnosis of AL after esophagectomy.