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Background: Diagnosis of acute aortic syndrome is challenging and associated with high perihospital mortality rates. The study aim was to evaluate current pathways and understand the chronology of acute aortic syndrome patient care.

Method: Consecutive patients with acute aortic syndrome imaging diagnosis between 1 January 2018 and 1 June 2021 were identified using a predetermined search strategy and followed up for 6 months through retrospective case note review. The UK National Interventional Radiology Trainee Research and Vascular and Endovascular Research Network co-ordinated the study.

Results: From 15 UK sites, 620 patients were enrolled. The median age was 67 (range 25-98) years, 62.0% were male and 92.9% Caucasian. Type-A dissection (41.8%) was most common, followed by type-B (34.5%); 41.2% had complicated acute aortic syndrome. Mode of presentation included emergency ambulance (80.2%), self-presentation (16.2%), and primary care referral (3.6%). Time (median (i.q.r.)) to hospital presentation was 3.1 (1.8-8.6) h and decreased by sudden onset chest pain but increased with migratory pain or hypertension. Time from hospital presentation to imaging diagnosis was 3.2 (1.3-6.5) h and increased by family history of aortic disease and decreased by concurrent ischaemic limb. Time from diagnosis to treatment was 2 (1.0-4.3) h with interhospital transfer causing delay. Management included conservative (60.2%), open surgery (32.2%), endovascular (4.8%), hybrid (1.4%) and palliative (1.4%). Factors associated with a higher mortality rate at 30 days and 6 months were acute aortic syndrome type, complicated disease, no critical care admission and age more than 70 years (P < 0.05).

Conclusions: This study presents a longitudinal data set linking time-based delays to diagnosis and treatment with clinical outcomes. It can be used to prioritize research strategies to streamline patient care.

Background: Increased length of stay after surgery is associated with increased healthcare utilization and adverse patient outcomes. While enhanced recovery after surgery (ERAS) protocols have been shown to reduce length of stay after colorectal surgery in trial settings, their effectiveness in real-world settings is more uncertain. The aim of this study was to assess the impact of ERAS protocol implementation on length of stay after colorectal surgery, using real-world data.

Methods: In 2012, ERAS protocols were introduced at 15 Ontario hospitals as part of the iERAS study. A cohort of patients undergoing colorectal surgery treated at these hospitals between 2008 and 2019 was created using health administrative data. Mean length of stay was computed for the intervals before and after ERAS implementation. Interrupted time series analyses were performed for predefined subgroups, namely all colorectal surgery, colorectal surgery without complications, right-sided colorectal surgery, and left-sided colorectal surgery. Sensitivity analyses were then conducted using adjusted length of stay, accounting for length of stay predictors, including: patient age, sex, marginalization, co-morbidities, and diagnosis; surgeon volume of cases, years in practice, and colorectal surgery expertise; hospital volume; and other contextual factors, including procedure type and timing, surgical approach, and in-hospital complications.

Results: A total of 32 612 patients underwent colorectal surgery during the study interval. ERAS implementation led to a decrease in length of stay of 1.05 days (13.7%). Larger decreases in length of stay were seen with more complex surgeries, with a level change of 1.17 days (15.6%) noted for the subgroup of patients undergoing left-sided colorectal surgery. The observed decreases in length of stay were durable for the length of the study interval in all analyses. When adjusting for predictors of length of stay, the effect of ERAS implementation on length of stay was larger (reduction of 1.46 days).

Conclusion: Introducing formal ERAS protocols reduces length of stay after colorectal surgery significantly, independent of temporal trends toward decreasing length of stay. These effects are durable, demonstrating that ERAS protocol implementation is an effective hospital-level intervention to reduce length of stay after colorectal surgery.

Background: Metachronous colorectal cancer refers to patients developing a second colorectal neoplasia diagnosed at least 6 months after the initial cancer diagnosis, excluding recurrence. The aim of this systematic review is to assess the incidence of metachronous colorectal cancer in early-onset colorectal cancer (defined as age at diagnosis of less than 50 years) and to identify risk factors.

Methods: This is a systematic review and meta-analysis performed following the PRISMA statement and registered on PROSPERO. The literature search was conducted in PubMed and Embase. Only studies involving patients with early-onset colorectal cancer (less than 50 years old) providing data on metachronous colorectal cancer were included in the analysis. The primary endpoint was the risk of metachronous colorectal cancer in patients with early-onset colorectal cancer. Secondary endpoints were association with Lynch syndrome, family history and microsatellite instability.

Results: Sixteen studies met the inclusion criteria. The incidence of metachronous colorectal cancer was 2.6% (95% c.i. 2.287-3.007). The risk of developing metachronous colorectal cancer in early-onset colorectal cancer versus non-early-onset colorectal cancer patients demonstrated an OR of 0.93 (95% c.i. 0.760-1.141). The incidence of metachronous colorectal cancer in patients with Lynch syndrome was 18.43% (95% c.i. 15.396-21.780), and in patients with family history 10.52% (95% c.i. 5.555-17.659). The proportion of metachronous colorectal cancer tumours in the microsatellite instability population was 19.7% (95% c.i. 13.583-27.2422).

Conclusion: The risk of metachronous colorectal cancer in patients with early-onset colorectal cancer is comparable to those with advanced age, but it is higher in patients with Lynch syndrome, family history and microsatellite instability. This meta-analysis demonstrates the need to personalize the management of patients with early-onset colorectal cancer according to their risk factors.

Background: The diagnostic criteria for lateral lymph node metastasis in rectal cancer have not been established. This research aimed to investigate the risk factors for lateral lymph node metastasis and develop machine learning models combining these risk factors to improve the diagnostic performance of standard imaging.

Method: This multicentre prospective study included patients who underwent lateral lymph node dissection without preoperative treatment for rectal cancer between 2017 and 2019 in 15 Japanese institutions. First, preoperative clinicopathological factors and magnetic resonance imaging findings were evaluated using multivariable analyses for their correlation with lateral lymph node metastasis. Next, machine learning diagnostic models for lateral lymph node metastasis were developed combining these risk factors. The models were tested in a training set and in an internal validation cohort and their diagnostic performance was tested using receiver operating characteristic curve analyses.

Results: Of 212 rectal cancers, 122 patients were selected, including 232 lateral pelvic sides, 30 sides of which had pathological lateral lymph node metastasis. Multivariable analysis revealed that poorly differentiated/mucinous adenocarcinoma, extramural vascular invasion, tumour deposit and a short-axis diameter of lateral lymph node ≥ 6.0 mm were independent risk factors for lateral lymph node metastasis. Patients were randomly divided into a training cohort (139 sides) and a test cohort (93 sides) and machine learning models were computed on the basis of a combination of significant features (including: histological type, extramural vascular invasion, tumour deposit, short- and long-axis diameter of lateral lymph node, body mass index, serum carcinoembryonic antigen level, cT, cN, cM, irregular border and mixed signal intensity). The top three models with the highest sensitivity in the training cohort were as follows: support vector machine (sensitivity, 1.000; specificity, 0.773), light gradient boosting machine (sensitivity, 0.950; specificity, 0.918) and ensemble learning (sensitivity, 0.950; specificity, 0.917). The diagnostic performances of these models in the test cohort were as follows: support vector machine (sensitivity, 0.750; specificity, 0.667), light gradient boosting machine (sensitivity, 0.500; specificity, 0.852) and ensemble learning (sensitivity, 0.667; specificity, 0.864).

Conclusion: Machine learning models combining multiple risk factors can contribute to improving diagnostic performance of lateral lymph node metastasis.

Background: Surgical stress may lead to postsurgical hypercoagulability, endothelial dysfunction and systemic inflammation, which can impact on patient recovery. Remote ischaemic preconditioning is a procedure that activates the body's endogenous defences against ischaemia and reperfusion injury. Studies have suggested that remote ischaemic preconditioning has antithrombotic, antioxidative and anti-inflammatory effects. The hypothesis was that remote ischaemic preconditioning reduces surgery-induced systemic stress response.

Method: During a 24-month period (2019-2021), adult patients undergoing subacute laparoscopic cholecystectomy due to acute cholecystitis were randomized to remote ischaemic preconditioning or control. Remote ischaemic preconditioning was performed less than 4 h before surgery on the upper arm. It consisted of four cycles of 5 min ischaemia and 5 min reperfusion. The gene expression of 750 genes involved in inflammatory processes, oxidative stress and endothelial function was investigated preoperatively and 2-4 h after surgery in both groups. In addition, changes in 20 inflammation- and vascular trauma-associated proteins were assessed preoperatively, 2-4 h after surgery and 24 h after surgery.

Results: A total of 60 patients were randomized. There were no statistically significant differences in gene expression 2-4 h after surgery between the groups (P > 0.05). Remote ischaemic preconditioning did not affect concentrations of circulating proteins up to 24 h after surgery (P > 0.05).

Conclusion: The study did not demonstrate any effect of remote ischaemic preconditioning on expression levels of the chosen genes or in circulating immunological cytokines and vascular trauma-associated proteins up to 24 h after subacute laparoscopic cholecystectomy in patients with acute cholecystitis.

Background: Validating the expanded criteria for living donor liver transplantation for hepatocellular carcinoma using national data is highly significant. The aim of this study was to evaluate the validity of the new Japanese criteria for living donor liver transplantation for hepatocellular carcinoma patients and identify factors associated with a poor prognosis using the Japanese national data set.

Methods: The study population comprised patients who underwent living donor liver transplantation for hepatocellular carcinoma at 37 centres in Japan between 2010 and 2018. In a nationwide survey, the overall survival and recurrence-free survival rates were evaluated based on the new Japanese criteria for applying the 5-5-500 rule when extending the indication beyond the Milan criteria. Prognostic factors within the Japanese criteria were determined using the Cox proportional hazards model.

Results: Patients within (485 patients) and beyond (31 patients) the Japanese criteria exhibited 5-year overall survival rates of 81% and 58% and 5-year recurrence-free survival rates of 77% and 48% respectively. Patients who met the Milan criteria, but not the 5-5-500 rule, had poorer outcomes. Multivariate analysis for 474 patients identified a neutrophil-to-lymphocyte ratio greater than or equal to 5 and a history of hepatectomy as independent risk factors.

Conclusion: This nationwide survey confirms the validity of the Japanese criteria. The poor prognostic factors within the Japanese criteria include a neutrophil-to-lymphocyte ratio greater than or equal to 5 and previous hepatectomy.

Background: Emergency laparotomy has high morbidity and mortality rates. Frailty assessment remains underutilized in this setting, in part due to time constraints and feasibility. The Clinical Frailty Scale has been identified as the most appropriate tool for frailty assessment in emergency laparotomy patients and is recommended for all older patients undergoing emergency laparotomy. The prognostic impact of measured frailty using the Clinical Frailty Scale on short- and long-term mortality and morbidity rates remains to be determined.

Methods: Observational cohort studies were identified by systematically searching Medline, Embase, Scopus and CENTRAL databases up to February 2024, comparing outcomes following emergency laparotomy for frail and non-frail participants defined according to the Clinical Frailty Scale. The primary outcomes were short- and long-term mortality rates. A random-effects model was created with pooling of effect estimates and a separate narrative synthesis was created. Risk of bias was assessed.

Results: Twelve articles comprising 5704 patients were included. Frailty prevalence was 25% in all patients and 32% in older adults (age ≥55 years). Older patients with frailty had a significantly greater risk of postoperative death (30-day mortality rate OR 3.84, 95% c.i. 2.90 to 5.09, 1-year mortality rate OR 3.03, 95% c.i. 2.17 to 4.23). Meta-regression revealed that variations in cut-off values to define frailty did not significantly affect the association with frailty and 30-day mortality rate. Frailty was associated with higher rates of major complications (OR 1.93, 95% c.i. 1.27 to 2.93) and discharge to an increased level of care.

Conclusion: Frailty is significantly correlated with short- and long-term mortality rates following emergency laparotomy, as well as an adverse morbidity rate and functional outcomes. Identifying frailty using the Clinical Frailty Scale may aid in patient-centred decision-making and implementation of tailored care strategies for these 'high-risk' patients, with the aim of reducing adverse outcomes following emergency laparotomy.