Ninety-day mortality after total gastrectomy for gastric cancer

Nationwide Audit of Postoperative Mortality and Complications After Digestive Cancer Surgery: Will New Legal Thresholds be Sufficient?

BACKGROUND

French policymakers recently chose to regulate high-risk digestive cancer surgery (DCS). A minimum of five cases per year should be performed for each of the following types of curative cancer surgery: esophagus/esogastric junction (ECS), stomach (GCS), liver (LCS, metastasis included), pancreas (PCS), and rectum (RCS). This study aimed to evaluate the hypothetical beneficial effects of the new legal minimal volume thresholds on the rates of 90-day postoperative mortality (90POM) for each high-risk DCS.

METHODS

This nationwide observational population-based cohort study used data extracted from the French National Health Insurance Database from 1 January 2015-31 December 2017. Mixed-effects logistic regression models were performed to estimate the independent effect of hospital volume.

RESULTS

During the study period, 61,169 patients (57.1 % male, age 69.7 ±12.2 years) underwent high-risk DCS including ECS (n = 4060), GCS (n = 5572), PCS (n = 8598), LCS (n = 10,988), and RCS (n = 31,951), with 90POM of 6.6 %, 6.9 %, 6.0 %, 5.2 %, and 2.9 %, respectively. For hospitals fulfilling the new criteria, 90POM was lower after adjustment only for LCS (odds ratio [OR],15.2; 95 % confidence interval [CI], 9.5-23.2) vs OR, 7.6; 95 % CI, 5.2-11.0; p < 0.0001) and PCS (OR, 3.6; 95 % CI, 1.7-7.6 vs OR, 2.1; 95 % CI, 1.0-4.4; p<0.0001). With higher thresholds, all DCSs showed a lower adjusted risk of 90POM (e.g., OR, 0.38; 95 % CI, 0.28-0.51) for PCS of 40 or higher.

CONCLUSION

Based on retrospective data, thresholds higher than those promulgated would better improve the safety of high-risk DCS. New policies aiming to further centralize high-risk DCS should be considered, associated with a clear clinical pathway of care for patients to improve accessibility to complex health care in France.

Textbook outcome as indicator of surgical quality in a single Western center: results from 300 consecutive gastrectomies

Textbook outcome (TO) has been proposed as a tool to evaluate surgical quality. Textbook oncological outcome (TOO) adds chemotherapeutic compliance to TO. This study was conducted to analyze the TO and TOO of patients with gastric adenocarcinoma who underwent surgery at our center. Data from a prospective database of patients operated on for gastric adenocarcinoma between September 2018 and September 2022 were analyzed. Postoperative management followed Enhanced Recovery After Surgery guidelines. The Dutch Upper Gastrointestinal Cancer Audit group defined TO as a multidimensional measure (10 items). TOO also considers guideline-accordant chemotherapeutic compliance. Three hundred patients underwent surgery during the study period (167 men, 133 women). One hundred seventy-six (58.7%) reached TO. Achieving TO was influenced by patients' comorbidities, calculated via the Charlson Comorbidity Score (3 vs. 4; p = 0.002) and surgery type (subtotal gastrectomy; p < 0.001), but not by the American Society of Anesthesiologists (ASA) score (p = 0.057) or surgical approach (laparoscopic vs. open; p = 0.208). The analysis of TOO included 213 patients. Of these, 71 (33%) underwent complete adequate systemic treatment. Compared with the non-TOO group, patients who achieved TOO had a lower median age (64 vs. 73 years; p < 0.001) and lower ASA score (p < 0.001) and more frequently underwent preoperative chemotherapy (p < 0.001). Our results represent the experience of a single team at a high-volume Western institute. Patients' comorbidities and surgery type influenced whether TO was achieved. Conversely, younger age, lower ASA score and preoperative chemotherapy were associated with TOO.

Regeneration and anti-inflammatory effects of stem cells and their extracellular vesicles in gynecological diseases

There are many gynecological diseases, among which breast cancer (BC), cervical cancer (CC), endometriosis (EMs), and polycystic ovary syndrome (PCOS) are common and difficult to cure. Stem cells (SCs) are a focus of regenerative medicine. They are commonly used to treat organ damage and difficult diseases because of their potential for self-renewal and multidirectional differentiation. SCs are also commonly used for difficult-to-treat gynecological diseases because of their strong directional differentiation ability with unlimited possibilities, their tendency to adhere to the diseased tissue site, and their use as carriers for drug delivery. SCs can produce exosomes in a paracrine manner. Exosomes can be produced in large quantities and have the advantage of easy storage. Their safety and efficacy are superior to those of SCs, which have considerable potential in gynecological treatment, such as inhibiting endometrial senescence, promoting vascular reconstruction, and improving anti-inflammatory and immune functions. In this paper, we review the mechanisms of the regenerative and anti-inflammatory capacity of SCs and exosomes in incurable gynecological diseases and the current progress in their application in genetic engineering to provide a foundation for further research.

Predictive factors and prognosis of upper gastrointestinal bleeding in gastric cancer: A large population-based study (UGIB-GC trial)

BACKGROUND

Gastric cancer remains the fourth leading cause of cancer-related death worldwide. Significant number of gastric cancer patients presented with bleeding.

OBJECTIVE

This study aimed to identify risk factors and overall survival rates of bleeding gastric cancer patients.

METHODS

This retrospective cohort study was conducted between 2007-2022 at tertiary care center in Thailand. Clinical information, endoscopic findings and histological type were extensively reviewed and were compared between bleeders and non-bleeders. Patients were monitored for at least 5 years.

RESULTS

There were 20,981 patients who underwent upper gastrointestinal endoscopy during study period. Total of 201 gastric cancer patients were included in this study, 21 were excluded due to incomplete medical records. 180 gastric cancer patients were included with mean age of 60.5±14.3 years. There were 65 (36.1%) patients with gastrointestinal bleeding. Hypertension and chronic kidney disease were significantly more common in bleeders than non-bleeders (43.1% vs 23.5%, OR2.51, 95%CI 1.14.-5.52, p = 0.022; and 16.9% vs 5.2%, OR2.00, 95%CI 1.56-6.63, p = 0.025, respectively). current H. pylori infection was also significantly more common in bleeders than non-bleeders (84.6% vs. 55.7%, OR 4.39, 95%CI 1.90-10.12, p<0.001). Median overall survival of bleeders was significantly lower than non-bleeders (7±0.93 vs 10±2.10 months, p = 0.001).

CONCLUSIONS

Bleeding gastric cancer was not an uncommon condition. Majority of patients presented at advanced stage with grave prognosis. Male gender, hypertension, chronic kidney disease, and current H. pylori infection were reliable predictors for bleeding. Early diagnosis and prompt treatment are the key to improve clinical outcome.

Automated machine learning (AutoML) can predict 90-day mortality after gastrectomy for cancer

Early postoperative mortality risk prediction is crucial for clinical management of gastric cancer. This study aims to predict 90-day mortality in gastric cancer patients undergoing gastrectomy using automated machine learning (AutoML), optimize models for preoperative prediction, and identify factors influential in prediction. National Cancer Database was used to identify stage I-III gastric cancer patients undergoing gastrectomy between 2004 and 2016. 26 features were used to train predictive models using H2O.ai AutoML. Performance on validation cohort was measured. In 39,108 patients, 90-day mortality rate was 8.8%. The highest performing model was an ensemble (AUC = 0.77); older age, nodal ratio, and length of inpatient stay (LOS) following surgery were most influential for prediction. Removing the latter two parameters decreased model performance (AUC 0.71). For optimizing models for preoperative use, models were developed to first predict node ratio or LOS, and these predicted values were inputted for 90-day mortality prediction (AUC of 0.73-0.74). AutoML performed well in predicting 90-day mortality in a larger cohort of gastric cancer patients that underwent gastrectomy. These models can be implemented preoperatively to inform prognostication and patient selection for surgery. Our study supports broader evaluation and application of AutoML to guide surgical oncologic care.

Safe Discharge Criteria After Curative Gastrectomy for Gastric Cancer

Purpose

This study aimed to investigate the relationship between clinical and laboratory parameters and complication status to predict which patients can be safely discharged from the hospital on the third postoperative day (POD).

Materials and Methods

Data from a prospectively maintained database of 2,110 consecutive patients with gastric adenocarcinoma who underwent curative surgery were reviewed. The third POD vital signs, laboratory data, and details of the course after surgery were collected. Patients with grade II or higher complications after the third POD were considered unsuitable for early discharge. The performance metrics were calculated for all algorithm parameters. The proposed algorithm was tested using a validation dataset of consecutive patients from the same center.

Results

Of 1,438 patients in the study cohort, 142 (9.9%) were considered unsuitable for early discharge. C-reactive protein level, body temperature, pulse rate, and neutrophil count had good performance metrics and were determined to be independent prognostic factors. An algorithm consisting of these 4 parameters had a negative predictive value (NPV) of 95.9% (95% confidence interval [CI], 94.2–97.3), sensitivity of 80.3% (95% CI, 72.8–86.5), and specificity of 51.1% (95% CI, 48.3–53.8). Only 28 (1.9%) patients in the study cohort were classified as false negatives. In the validation dataset, the NPV was 93.7%, sensitivity was 66%, and 3.3% (17/512) of patients were classified as false negatives.

Conclusions

Simple clinical and laboratory parameters obtained on the third POD can be used when making decisions regarding the safe early discharge of patients who underwent gastrectomy.