Management and Outcomes of Hepatoblastoma in Patients With Trisomy 18: A Systematic Review and Pooled Analysis of 70 Patients.

INTRODUCTION: Predicted 1-year survival of children with trisomy 18 (T18) has increased to 59.3%. We aimed to systematically review the characteristics, management, and outcomes of children with T18 and hepatoblastoma. METHODS: A systematic literature review of the PubMed, Embase, Scopus, Web of Science, and Cochrane Library databases was performed according to the PRISMA 2020 statement (end-of-search date: 03/03/2024). RESULTS: Fifty studies reporting on 70 patients were included. The median age at diagnosis was 11.5 months, 85.9% were female (n = 55/64), and 15.0% had mosaic T18 (n = 6/40). Diagnosis was made during symptom evaluation (most commonly hepatomegaly or abdominal mass) in 45.5% (n = 15/33), incidentally in 24.2% (n = 8/33), during surveillance with abdominal ultrasound in 18.2% (n = 6/33), and at autopsy in 12.1% (n = 4/33). The median tumor size was 6.4 cm, 33.3% had multiple tumors (n = 14/42), and metastasis was present in one patient (3.8%; n = 1/26). Neoadjuvant chemotherapy was administered in 42.6% (n = 26/61) and adjuvant chemotherapy in 31.6% (n = 18/57). Surgical treatment was performed in 64.2% (n = 43/67). Of the patients not diagnosed on autopsy, overall mortality was 35.5% (n = 22/62) over a median follow-up of 11.0 months. Among the 26 deceased patients (including those diagnosed on autopsy), the most common causes of death were cardiopulmonary disease (38.5%, n = 10/26) and tumor progression (30.8%, n = 8/26). CONCLUSIONS: T18 does not preclude resection with curative intent for hepatoblastoma. Combination of surgery and chemotherapy should be considered in children on an individualized basis depending on tumor characteristics and underlying cardiopulmonary comorbidities. Locoregional modalities may have a role in the setting of severe comorbidities. LEVEL OF EVIDENCE: Level IV evidence.

Clinical Prediction Models for Prognosis of Colorectal Liver Metastases: A Comprehensive Review of Regression-Based and Machine Learning Models.

Colorectal liver metastasis (CRLM) is a disease entity that warrants special attention due to its high frequency and potential curability. Identification of "high-risk" patients is increasingly popular for risk stratification and personalization of the management pathway. Traditional regression-based methods have been used to derive prediction models for these patients, and lately, focus has shifted to artificial intelligence-based models, with employment of variable supervised and unsupervised techniques. Multiple endpoints, like overall survival (OS), disease-free survival (DFS) and development or recurrence of postoperative complications have all been used as outcomes in these studies. This review provides an extensive overview of available clinical prediction models focusing on the prognosis of CRLM and highlights the different predictor types incorporated in each model. An overview of the modelling strategies and the outcomes chosen is provided. Specific patient and treatment characteristics included in the models are discussed in detail. Model development and validation methods are presented and critically appraised, and model performance is assessed within a proposed framework.

Development and internal validation of a clinical prediction model for serious complications after emergency laparotomy.

PURPOSE: Emergency laparotomy (EL) is a common operation with high risk for postoperative complications, thereby requiring accurate risk stratification to manage vulnerable patients optimally. We developed and internally validated a predictive model of serious complications after EL. METHODS: Data for eleven carefully selected candidate predictors of 30-day postoperative complications (Clavien-Dindo grade > = 3) were extracted from the HELAS cohort of EL patients in 11 centres in Greece and Cyprus. Logistic regression with Least Absolute Shrinkage and Selection Operator (LASSO) was applied for model development. Discrimination and calibration measures were estimated and clinical utility was explored with decision curve analysis (DCA). Reproducibility and heterogeneity were examined with Bootstrap-based internal validation and Internal-External Cross-Validation. The American College of Surgeons National Surgical Quality Improvement Program's (ACS-NSQIP) model was applied to the same cohort to establish a benchmark for the new model. RESULTS: From data on 633 eligible patients (175 complication events), the SErious complications After Laparotomy (SEAL) model was developed with 6 predictors (preoperative albumin, blood urea nitrogen, American Society of Anaesthesiology score, sepsis or septic shock, dependent functional status, and ascites). SEAL had good discriminative ability (optimism-corrected c-statistic: 0.80, 95% confidence interval [CI] 0.79-0.81), calibration (optimism-corrected calibration slope: 1.01, 95% CI 0.99-1.03) and overall fit (scaled Brier score: 25.1%, 95% CI 24.1-26.1%). SEAL compared favourably with ACS-NSQIP in all metrics, including DCA across multiple risk thresholds. CONCLUSION: SEAL is a simple and promising model for individualized risk predictions of serious complications after EL. Future external validations should appraise SEAL's transportability across diverse settings.

Artificial Intelligence in Surgical Risk Prediction.

Risk prediction and stratification of short-term and long-term postoperative outcomes are growing in importance and scope of application in everyday clinical practice [...].

Prospective multicenter external validation of postoperative mortality prediction tools in patients undergoing emergency laparotomy.

BACKGROUND: Accurate preoperative risk assessment in emergency laparotomy (EL) is valuable for informed decision making and rational use of resources. Available risk prediction tools have not been validated adequately across diverse health care settings. Herein, we report a comparative external validation of four widely cited prognostic models. METHODS: A multicenter cohort was prospectively composed of consecutive patients undergoing EL in 11 Greek hospitals from January 2020 to May 2021 using the National Emergency Laparotomy Audit (NELA) inclusion criteria. Thirty-day mortality risk predictions were calculated using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP), NELA, Portsmouth Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity (P-POSSUM), and Predictive Optimal Trees in Emergency Surgery Risk tools. Surgeons' assessment of postoperative mortality using predefined cutoffs was recorded, and a surgeon-adjusted ACS-NSQIP prediction was calculated when the original model's prediction was relatively low. Predictive performances were compared using scaled Brier scores, discrimination and calibration measures and plots, and decision curve analysis. Heterogeneity across hospitals was assessed by random-effects meta-analysis. RESULTS: A total of 631 patients were included, and 30-day mortality was 16.3%. The ACS-NSQIP and its surgeon-adjusted version had the highest scaled Brier scores. All models presented high discriminative ability, with concordance statistics ranging from 0.79 for P-POSSUM to 0.85 for NELA. However, except the surgeon-adjusted ACS-NSQIP (Hosmer-Lemeshow test, p = 0.742), all other models were poorly calibrated ( p < 0.001). Decision curve analysis revealed superior clinical utility of the ACS-NSQIP. Following recalibrations, predictive accuracy improved for all models, but ACS-NSQIP retained the lead. Between-hospital heterogeneity was minimum for the ACS-NSQIP model and maximum for P-POSSUM. CONCLUSION: The ACS-NSQIP tool was most accurate for mortality predictions after EL in a broad external validation cohort, demonstrating utility for facilitating preoperative risk management in the Greek health care system. Subjective surgeon assessments of patient prognosis may optimize ACS-NSQIP predictions. LEVEL OF EVIDENCE: Diagnostic Test/Criteria; Level II.

The Hellenic Emergency Laparotomy Study (HELAS): A Prospective Multicentre Study on the Outcomes of Emergency Laparotomy in Greece.

BACKGROUND: Emergency laparotomy (EL) is accompanied by high post-operative morbidity and mortality which varies significantly between countries and populations. The aim of this study is to report outcomes of emergency laparotomy in Greece and to compare them with the results of the National Emergency Laparotomy Audit (NELA). METHODS: This is a multicentre prospective cohort study undertaken between 01.2019 and 05.2020 including consecutive patients subjected to EL in 11 Greek hospitals. EL was defined according to NELA criteria. Demographics, clinical variables, and post-operative outcomes were prospectively registered in an online database. Multivariable logistic regression analysis was used to identify independent predictors of post-operative mortality. RESULTS: There were 633 patients, 53.9% males, ASA class III/IV 43.6%, older than 65 years 58.6%. The most common operations were small bowel resection (20.5%), peptic ulcer repair (12.0%), adhesiolysis (11.8%) and Hartmann's procedure (11.5%). 30-day post-operative mortality reached 16.3% and serious complications occurred in 10.9%. Factors associated with post-operative mortality were increasing age and ASA class, dependent functional status, ascites, severe sepsis, septic shock, and diabetes. HELAS cohort showed similarities with NELA patients in terms of demographics and preoperative risk. Post-operative utilisation of ICU was significantly lower in the Greek cohort (25.8% vs 56.8%) whereas 30-day post-operative mortality was significantly higher (16.3% vs 8.7%). CONCLUSION: In this study, Greek patients experienced markedly worse mortality after emergency laparotomy compared with their British counterparts. This can be at least partly explained by underutilisation of critical care by surgical patients who are at high risk for death.

External Validation of the American College of Surgeons Surgical Risk Calculator in Elderly Patients Undergoing General Surgery Operations.

Preoperative risk stratification in the elderly surgical patient is an essential part of contemporary perioperative care and can be done with the use of the American College of Surgeons Surgical Risk Calculator (ACS-SRC). However, data on the generalizability of the ACS-SRC in the elderly is scarce. In this study, we report an external validation of the ACS-RC in a geriatric cohort. A retrospective analysis of a prospectively maintained database was performed including patients aged > 65 who underwent general surgery procedures during 2012−2017 in a Greek academic centre. The predictive ability of the ACS-SRC for post-operative outcomes was tested with the use of Brier scores, discrimination, and calibration metrics. 471 patients were included in the analysis. 30-day postoperative mortality was 3.2%. Overall, Brier scores were lower than cut-off values for almost all outcomes. Discrimination was good for serious complications (c-statistic: 0.816; 95% CI: 0.762−0.869) and death (c-statistic: 0.824; 95% CI: 0.719−0.929). The Hosmer-Lemeshow test showed good calibration for all outcomes examined. Predicted and observed length of stay (LOS) presented significant differences for emergency and for elective cases. The ACS-SRC demonstrated good predictive performance in our sample and can aid preoperative estimation of multiple outcomes except for the prediction of post-operative LOS.

Advances in Perioperative Nutrition.

In the modern era of prehabilitation, identifying malnourished surgical patients and optimising their nutritional status is crucial [...].

Complications of modern pancreaticoduodenectomy: A systematic review and meta-analysis.

BACKGROUND: In the past decades, the perioperative management of patients undergoing pancreaticoduodenectomy (PD) has undergone major changes worldwide. This review aimed to systematically determine the burden of complications of PD performed in the last 10 years. DATA SOURCES: A systematic review was conducted in PubMed for randomized controlled trials and observational studies reporting postoperative complications in at least 100 PDs from January 2010 to April 2020. Risk of bias was assessed using the Cochrane RoB2 tool for randomized studies and the methodological index for non-randomized studies (MINORS). Pooled complication rates were estimated using random-effects meta-analysis. Heterogeneity was investigated by subgroup analysis and meta-regression. RESULTS: A total of 20 randomized and 49 observational studies reporting 63 229 PDs were reviewed. Mean MINORS score showed a high risk of bias in non-randomized studies, while one quarter of the randomized studies were assessed to have high risk of bias. Pooled incidences of 30-day mortality, overall complications and serious complications were 1.7% (95% CI: 0.9%-2.9%; I2 = 95.4%), 54.7% (95% CI: 46.4%-62.8%; I2 = 99.4%) and 25.5% (95% CI: 21.8%-29.4%; I2= 92.9%), respectively. Clinically-relevant postoperative pancreatic fistula risk was 14.3% (95% CI: 12.4%-16.3%; I2 = 92.0%) and mean length of stay was 14.8 days (95% CI: 13.6-16.1; I2 = 99.3%). Meta-regression partially attributed the observed heterogeneity to the country of origin of the study, the study design and the American Society of Anesthesiologists class. CONCLUSIONS: Pooled complication rates estimated in this study may be used to counsel patients scheduled to undergo a PD and to set benchmarks against which centers can audit their practice. However, cautious interpretation is necessary due to substantial heterogeneity.

Vomiting-induced costal cartilage fracture: a case report.

The use of ultrasonography as a first line imaging test in cases of possible costal cartilage fracture can be pivotal. In this case report, we present the case of a patient with a suspected atraumatic vomiting-induced costal cartilage fracture. The costal cartilage fracture was non-displaced and incomplete, thus not visible in a Computed Tomography scan. When Ultrasound imaging was employed at the area of tenderness, soft tissue edema and hematoma around the cartilage were visualized. High level of suspicion for a cartilage fracture in this case revealed a subtle osseous injury.

A Comparison of the Malnutrition Universal Screening Tool (MUST) and the Mini Nutritional Assessment-Short Form (MNA-SF) Tool for Older Patients Undergoing General Surgery.

The optimal malnutrition screening tool in geriatric surgery has yet to be determined. Herein, we compare two main tools in older patients undergoing general surgery operations. Older patients (>65 years old) who underwent general surgery operations between 2012 and 2017 in a tertiary centre were included. The Malnutrition Universal Screening Tool (MUST) and the Mini Nutritional Assessment Short Form (MNA-SF) were used for nutritional risk assessment. Preoperative variables as well as postoperative outcomes were recorded prospectively. Agreement between tools was determined with the weighted kappa (κ) statistic. Multiple regression analysis was used to assess the association of the screening tools with postoperative outcomes. A total of 302 patients (median age 74 years, range: 65-92) were included. A similar number of patients were classified as medium/high risk for malnutrition with the MNA-SF and MUST (26% vs. 36%, p = 0.126). Agreement between the two tools was moderate (weighted κ: 0.474; 95%CI: 0.381-0.568). In the multivariate analysis, MNA-SF was associated significantly with postoperative mortality (p = 0.038) and with postoperative length of stay (p = 0.001). MUST was associated with postoperative length of stay (p = 0.048). The MNA-SF seems to be more consistently associated with postoperative outcomes in elderly patients undergoing general surgery compared with the MUST tool.

A case of incidental infantile gallbladder adenomyomatosis: an unusual US finding of uncertain clinical significance.

Adenomyomatosis of the gallbladder is defined as hypertrophy of the gallbladder mucosal epithelium that invaginates into a thickened muscularis propria, leading to the formation of intramural diverticula. It is typically considered a benign condition most commonly affecting adults and, rarely, children. In this case report, we present a case of gallbladder adenomyomatosis in a 3-month-old infant. The diagnosis was made incidentally on ultrasound examination of the abdomen, in an otherwise asymptomatic child with no laboratory test abnormalities and no underlying disease. The purpose of this case report is to make infantile adenomyomatosis and its implications known to clinicians, as the literature on this topic is limited. To the best of our knowledge, this is the youngest reported case of adenomyomatosis in the pediatric population.

Maximizing patient benefit through a reversed pathway from specialist to generalist: the case of chronic pain.

Polymyalgia Rheumatica (PMR) is a syndrome characterized by chronic pain and/or stiffness in the neck, shoulders or upper arms and hips. It affects adult patients usually over 50 years old and is treated with low-dose oral corticosteroids. In this case, a 68-year-old female with a history of PMR, diagnosed by a specialist sporadically seen in the past, presented to a primary care physician due to herpes zoster (HZ) infection. Thorough history taking, along with a careful review of previous laboratory results, raised serious doubts concerning her diagnosis (PMR). Because the patient described diffuse pain throughout her body, sleep disturbances and a depressed emotional state, fibromyalgia was suspected instead and appropriate treatment was given. The patient remained free of symptoms and corticosteroids for almost a year. Information from this case may help to point out that PMR is a disorder that can be easily confused with other chronic pain conditions with similar manifestations, especially when the initial diagnosis is sped up in terms of consultation depth and care continuity. Under certain circumstances, primary care can lead to improved clinical outcomes.

Satisfaction and Perceived Barriers of General Practice Residents in Relation to Their Educational Needs Coverage During Residency in Greece.

Objectives: This study aimed to assess satisfaction and report on perceptions of General Practice (GP) residents during residency in Greece, through an online questionnaire at a national level. Material and methods:A mixed type method study was shaped. Both quantitative analysis and a quasiqualitative approach were used, while information from an open-ended question was processed. The study included answers of GP residents recruited with a national sample pool technique. Results:There were 177 responders from 430 registered residents. Using a grading system from 1 to 10, the median value showing how much satisfied the participants were during their training was 4.48 (95% CI 4.16-4.79), while GP logbook was regarded as useful (median value 6.29, 95% CI 5.84-6.73). The training program was reported as insufficient to prepare residents for their future work as primary health care physicians, with a median rating of 4.09 (95% CI 3.78-4.41). The overall educational gain was regarded as poor compared to residents' expectations, with a median rating of 4.71 (95% CI 4.38-5.07). From free text responses of 83 participants, an organized educational program based on logbook skill acquirement with interaction between coordinator and resident emerged as a priority. Conclusion: Understanding general practitioners' perceptions, satisfaction level and expectations may help to design reform initiatives and cover their educational needs during residency in a holistic manner. Experience from local settings may be useful to offer more comprehensive messages. In a rapidly changing health environment, quickly collecting and analyzing emerging data appears to be a practical way for correcting decisions and avoiding previous errors.