Drain Amylase: A Simple and Versatile Method of Detecting Esophageal Anastomotic Leaks

Early Detection and Monitoring of Anastomotic Leaks via Naked Eye-Readable, Non-Electronic Macromolecular Network Sensors

Anastomotic leakage (AL) is the leaking of non-sterile gastrointestinal contents into a patient's abdominal cavity. AL is one of the most dreaded complications following gastrointestinal surgery, with mortality rates reaching up to 27%. The current diagnostic methods for anastomotic leaks are limited in sensitivity and specificity. Since the timing of detection directly impacts patient outcomes, developing new, fast, and simple methods for early leak detection is crucial. Here, a naked eye-readable, electronic-free macromolecular network drain fluid sensor is introduced for continuous monitoring and early detection of AL at the patient's bedside. The sensor array comprises three different macromolecular network sensing elements, each tailored for selectivity toward the three major digestive enzymes found in the drainage fluid during a developing AL. Upon digestion of the macromolecular network structure by the respective digestive enzymes, the sensor produces an optical shift discernible to the naked eye. The diagnostic efficacy and clinical applicability of these sensors are demonstrated using clinical samples from 32 patients, yielding a Receiver Operating Characteristic Area Under the Curve (ROC AUC) of 1.0. This work has the potential to significantly contribute to improved patient outcomes through continuous monitoring and early, low-cost, and reliable AL detection.

Robotic-Assisted Ivor Lewis Esophagectomy

Robotic-assisted surgery is a safe and effective approach to minimally invasive Ivor Lewis esophagectomy. Outcomes are optimized when surgeons are familiar with the fundamentals of minimally invasive surgery of the esophagus and after gaining sufficient experience with robotic surgical techniques.

Root cause analysis of mortality after esophagectomy for cancer: a multicenter cohort study from the FREGAT database

BACKGROUND

Esophagectomy is associated with significant mortality. A better understanding of the causes leading to death may help to reduce mortality. A root cause analysis of mortality after esophagectomy was performed.

METHODS

Root cause analysis was retrospectively applied by an independent expert panel of 4 upper gastrointestinal surgeons and 1 anesthesiologist-intensivist to patients included in the French national multicenter prospective cohort FREGAT between August 2014 and September 2019 who underwent an esophagectomy for cancer and died within 90 days of surgery. A cause-and-effect diagram was used to determine the root causes related to death. Death was classified as potentially preventable or non-preventable.

RESULTS

Among the 1,040 patients included in the FREGAT cohort, 70 (6.7%) patients (male: 81%, median age 68 [62-72] years) from 17 centers were included. Death was potentially preventable in 37 patients (53%). Root causes independently associated with preventable death were inappropriate indication (odds ratio 35.16 [2.50-494.39]; P = .008), patient characteristics (odds ratio 5.15 [1.19-22.35]; P = .029), unexpected intraoperative findings (odds ratio 18.99 [1.07-335.55]; P = .045), and delay in diagnosis of a complication (odds ratio 98.10 [6.24-1,541.04]; P = .001). Delay in treatment of a complication was found only in preventable deaths (28 [76%] vs 0; P < .001). National guidelines were less frequently followed (16 [43%] vs 22 [67%]; P = .050) in preventable deaths. The only independent risk factor of preventable death was center volume <26 esophagectomies per year (odds ratio 4.71 [1.55-14.33]; P = .006).

CONCLUSIONS

More than one-half of deaths after esophagectomy were potentially preventable. Better patient selection, early diagnosis, and adequate management of complications through centralization could reduce mortality.