8 research outputs found

    Laparoscopic surgery by spontaneous rupture of the esophagus, a case report of treatment Boerhaave syndrome

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    Spontaneous rupture of the esophagus, Boerhaave syndrome, is a rare pathology and emergency condition for the patient. Patient, 63-year-old, on the 6th day of the disease falls into the clinic, where a Boerhaave syndrome was diagnosed. Laparoscopic surgery was performed. Sanitation and drainage of the mediastinum, suturing of the perforation hole were performed. After the operation, а positive response to treatment was observed. A group of authors believes that a minimally invasive approach to the treatment of spontaneous esophageal rupture is the alternative method for patients with severe somatic status and a small perforated opening of the esophagus.</jats:p

    Preliminary assessment of the possibility of using urokinase uPA and urokinase receptor uPAR as universal diagnostic criteria in patients with colorectal and gastric adenocarcinoma

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    Background. Lack of universal diagnostic parameters that can accurately and reliably diagnose presence of a malignant neoplasm, anticancer drug effectiveness or metastasis development including dormant ones and also to detect the progression or relapse of the disease at an early stage put on the first place studies related to the identification of such markers. Increased secretion and activity of the urokinase type plasminogen activator (uPA), its receptor (uPAR) accompany many types of malignant neoplasms, contributing their progression and metastasis, as well as the emergence of chemoresistance. So today these proteins are promising diagnostic targets in oncology.&#x0D; Aim. To evaluate the diagnostic significance of the expression levels of uPA and uPAR in blood serum of patients with colorectal and gastric adenocarcinoma and uPA/uPAR distribution in samples obtained from the primary tumor node, to assess the possibility of their use as universal diagnostic indicators in cancer patients at the stage of primary treatment.&#x0D; Materials and methods. The study included patients with colorectal and gastric adenocarcinoma in the amount of 50 people and 25 healthy volunteers. The content of uPA and uPAR in blood serum was assessed by enzyme-linked immunosorbent assay, the level of expression of the studied proteins in tumor tissue was assessed using immunohistochemical staining with antibodies to uPA and uPAR.&#x0D; Results. It was found that in comparison with healthy donors uPA serum concentration was significantly higher in all patients with adenocarcinoma, regardless of gender, and the uPAR content in the blood serum was significantly higher in women. Immunohistochemical staining data showed that the expression of these two proteins in tumor tissue significantly exceeds their expression in normal tissue.&#x0D; Conclusion. Based on the obtained data the possibility of using uPA in blood serum as a universal diagnostic criterion in patients with colorectal and gastric adenocarcinoma regardless of gender was shown and uPAR in female patients.</jats:p

    Stoma-free survival after anastomotic leak following rectal cancer resection: worldwide cohort of 2470 patients

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    Stoma-free survival after anastomotic leak following rectal cancer resection: worldwide cohort of 2470 patients

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    Background: The optimal treatment of anastomotic leak after rectal cancer resection is unclear. This worldwide cohort study aimed to provide an overview of four treatment strategies applied. Methods: Patients from 216 centres and 45 countries with anastomotic leak after rectal cancer resection between 2014 and 2018 were included. Treatment was categorized as salvage surgery, faecal diversion with passive or active (vacuum) drainage, and no primary/secondary faecal diversion. The primary outcome was 1-year stoma-free survival. In addition, passive and active drainage were compared using propensity score matching (2: 1). Results: Of 2470 evaluable patients, 388 (16.0 per cent) underwent salvage surgery, 1524 (62.0 per cent) passive drainage, 278 (11.0 per cent) active drainage, and 280 (11.0 per cent) had no faecal diversion. One-year stoma-free survival rates were 13.7, 48.3, 48.2, and 65.4 per cent respectively. Propensity score matching resulted in 556 patients with passive and 278 with active drainage. There was no statistically significant difference between these groups in 1-year stoma-free survival (OR 0.95, 95 per cent c.i. 0.66 to 1.33), with a risk difference of -1.1 (95 per cent c.i. -9.0 to 7.0) per cent. After active drainage, more patients required secondary salvage surgery (OR 2.32, 1.49 to 3.59), prolonged hospital admission (an additional 6 (95 per cent c.i. 2 to 10) days), and ICU admission (OR 1.41, 1.02 to 1.94). Mean duration of leak healing did not differ significantly (an additional 12 (-28 to 52) days). Conclusion: Primary salvage surgery or omission of faecal diversion likely correspond to the most severe and least severe leaks respectively. In patients with diverted leaks, stoma-free survival did not differ statistically between passive and active drainage, although the increased risk of secondary salvage surgery and ICU admission suggests residual confounding

    Stoma-free Survival After Rectal Cancer Resection With Anastomotic Leakage: Development and Validation of a Prediction Model in a Large International Cohort.

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    Objective:To develop and validate a prediction model (STOMA score) for 1-year stoma-free survival in patients with rectal cancer (RC) with anastomotic leakage (AL).Background:AL after RC resection often results in a permanent stoma.Methods:This international retrospective cohort study (TENTACLE-Rectum) encompassed 216 participating centres and included patients who developed AL after RC surgery between 2014 and 2018. Clinically relevant predictors for 1-year stoma-free survival were included in uni and multivariable logistic regression models. The STOMA score was developed and internally validated in a cohort of patients operated between 2014 and 2017, with subsequent temporal validation in a 2018 cohort. The discriminative power and calibration of the models' performance were evaluated.Results:This study included 2499 patients with AL, 1954 in the development cohort and 545 in the validation cohort. Baseline characteristics were comparable. One-year stoma-free survival was 45.0% in the development cohort and 43.7% in the validation cohort. The following predictors were included in the STOMA score: sex, age, American Society of Anestesiologist classification, body mass index, clinical M-disease, neoadjuvant therapy, abdominal and transanal approach, primary defunctioning stoma, multivisceral resection, clinical setting in which AL was diagnosed, postoperative day of AL diagnosis, abdominal contamination, anastomotic defect circumference, bowel wall ischemia, anastomotic fistula, retraction, and reactivation leakage. The STOMA score showed good discrimination and calibration (c-index: 0.71, 95% CI: 0.66-0.76).Conclusions:The STOMA score consists of 18 clinically relevant factors and estimates the individual risk for 1-year stoma-free survival in patients with AL after RC surgery, which may improve patient counseling and give guidance when analyzing the efficacy of different treatment strategies in future studies

    Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries

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    Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries

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    Background Anastomotic leak affects 8 per cent of patients after right colectomy with a 10-fold increased risk of postoperative death. The EAGLE study aimed to develop and test whether an international, standardized quality improvement intervention could reduce anastomotic leaks. Methods The internationally intended protocol, iteratively co-developed by a multistage Delphi process, comprised an online educational module introducing risk stratification, an intraoperative checklist, and harmonized surgical techniques. Clusters (hospital teams) were randomized to one of three arms with varied sequences of intervention/data collection by a derived stepped-wedge batch design (at least 18 hospital teams per batch). Patients were blinded to the study allocation. Low- and middle-income country enrolment was encouraged. The primary outcome (assessed by intention to treat) was anastomotic leak rate, and subgroup analyses by module completion (at least 80 per cent of surgeons, high engagement; less than 50 per cent, low engagement) were preplanned. Results A total 355 hospital teams registered, with 332 from 64 countries (39.2 per cent low and middle income) included in the final analysis. The online modules were completed by half of the surgeons (2143 of 4411). The primary analysis included 3039 of the 3268 patients recruited (206 patients had no anastomosis and 23 were lost to follow-up), with anastomotic leaks arising before and after the intervention in 10.1 and 9.6 per cent respectively (adjusted OR 0.87, 95 per cent c.i. 0.59 to 1.30; P = 0.498). The proportion of surgeons completing the educational modules was an influence: the leak rate decreased from 12.2 per cent (61 of 500) before intervention to 5.1 per cent (24 of 473) after intervention in high-engagement centres (adjusted OR 0.36, 0.20 to 0.64; P &lt; 0.001), but this was not observed in low-engagement hospitals (8.3 per cent (59 of 714) and 13.8 per cent (61 of 443) respectively; adjusted OR 2.09, 1.31 to 3.31). Conclusion Completion of globally available digital training by engaged teams can alter anastomotic leak rates. Registration number: NCT04270721 (http://www.clinicaltrials.gov)

    Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score

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    To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found that patient rather than operation factors were the best predictors and used these to create the COVIDsurg Mortality Score (https://covidsurgrisk.app). Our data demonstrates that it is safe to restart a wide range of surgical services for selected patients.</jats:p
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