Single-center retrospective study of the diagnostic value of double-balloon enteroscopy in Meckel's diverticulum with bleeding.

BACKGROUND: The study aimed to analyze the characteristic clinical manifestations of patients with intestinal disease Meckel's diverticulum (MD) complicated by digestive tract hemorrhage. Moreover, we aimed to evaluate the value of double-balloon enteroscopy (DBE) in MD diagnosis and the prognosis after laparoscopic diverticula resection. AIM: To evaluate the value of DBE in the diagnosis and the prognosis after laparoscopic diverticula resection for MD with bleeding. METHODS: The study retrospectively analyzed relevant data from 84 MD patients treated between January 2015 and March 2022 and recorded their clinical manifestations, auxiliary examination, and follow-up after laparoscopic resection of diverticula. RESULTS: (1) Among 84 MD patients complicated with hemorrhage, 77 were male, and 7 were female with an average age of 31.31 ± 10.75 years. The incidence was higher in men than in women of different ages; (2) Among the 84 MD patients, 65 (78.40%) had defecated dark red stools, and 50 (58.80%) had no accompanying symptoms during bleeding, indicating that most MD bleeding appeared a dark red stool without accompanying symptoms; (3) The shock index of 71 patients (85.20%) was < 1, suggesting that the blood loss of most MD patients was less than 20%-30%, and only a few patients had a blood loss of > 30%; (4) The DBE-positive rate was 100% (54/54), 99mTc-pertechnetate-positive scanning rate was 78% (35/45) compared with capsule endoscopy (36%) and small intestine computed tomography (19%). These results suggest that DBE and 99mTc-pertechnetate scans had significant advantages in diagnosing MD and bleeding, especially DBE was a highly precise examination method in MD diagnosis; (5) A total of 54 MD patients with hemorrhage underwent DBE examination before surgery. DBE endoscopy revealed many mucosal manifestations including normal appearance, inflammatory changes, ulcerative changes, diverticulum inversion, and nodular hyperplasia, with ulcerative changes being the most common (53.70%). This suggests that diverticular mucosal ulcer was the main cause of MD and bleeding; and (6) Laparoscopic dissection of diverticulae was performed in 76 patients, The patients who underwent postoperative follow-up did not experience any further bleeding. Additionally, follow-up examination of the 8 cases who had declined surgery revealed that 3 of them experienced a recurrence of digestive tract bleeding. These findings indicate that laparoscopic diverticula resection in MD patients complicated by bleeding had a favorable prognosis. CONCLUSION: Bleeding associated with MD was predominantly observed in male adolescents, particularly at a young age. DBE was a highly precise examination method in MD diagnosis. Laparoscopic diverticula resection effectively prevented MD bleeding and had a good prognosis.

Inflammatory risk stratification individualizes anti-inflammatory pharmacotherapy for acute type A aortic dissection.

The systemic benefits of anti-inflammatory pharmacotherapy vary across cardiovascular diseases in clinical practice. We aimed to evaluate the application of artificial intelligence to acute type A aortic dissection (ATAAD) patients to determine the optimal target population who would benefit from urinary trypsin inhibitor use (ulinastatin). Patient characteristics at admission in the Chinese multicenter 5A study database (2016-2022) were used to develop an inflammatory risk model to predict multiple organ dysfunction syndrome (MODS). The population (5,126 patients from 15 hospitals) was divided into a 60% sample for model derivation, with the remaining 40% used for model validation. Next, we trained an extreme gradient-boosting algorithm (XGBoost) to develop a parsimonious patient-level inflammatory risk model for predicting MODS. Finally, a top-six-feature tool consisting of estimated glomerular filtration rate, leukocyte count, platelet count, De Ritis ratio, hemoglobin, and albumin was built and showed adequate predictive performance regarding its discrimination, calibration, and clinical utility in derivation and validation cohorts. By individual risk probability and treatment effect, our analysis identified individuals with differential benefit from ulinastatin use (risk ratio [RR] for MODS of RR 0.802 [95% confidence interval (CI) 0.656, 0.981] for the predicted risk of 23.5%-41.6%; RR 1.196 [0.698-2.049] for the predicted risk of <23.5%; RR 0.922 [95% CI 0.816-1.042] for the predicted risk of >41.6%). By using artificial intelligence to define an individual's benefit based on the risk probability and treatment effect prediction, we found that individual differences in risk probability likely have important effects on ulinastatin treatment and outcome, which highlights the need for individualizing the selection of optimal anti-inflammatory treatment goals for ATAAD patients.

A Novel Inflammation-Based Risk Score Predicts Mortality in Acute Type A Aortic Dissection Surgery: The Additive Anti-inflammatory Action for Aortopathy and Arteriopathy Score.

Objective: To develop an inflammation-based risk stratification tool for operative mortality in patients with acute type A aortic dissection. Methods: Between January 1, 2016 and December 31, 2021, 3124 patients from Beijing Anzhen Hospital were included for derivation, 571 patients from the same hospital were included for internal validation, and 1319 patients from other 12 hospitals were included for external validation. The primary outcome was operative mortality according to the Society of Thoracic Surgeons criteria. Least absolute shrinkage and selection operator regression were used to identify clinical risk factors. A model was developed using different machine learning algorithms. The performance of the model was determined using the area under the receiver operating characteristic curve (AUC) for discrimination, calibration curves, and Brier score for calibration. The final model (5A score) was tested with respect to the existing clinical scores. Results: Extreme gradient boosting was selected for model training (5A score) using 12 variables for prediction-the ratio of platelet to leukocyte count, creatinine level, age, hemoglobin level, prior cardiac surgery, extent of dissection extension, cerebral perfusion, aortic regurgitation, sex, pericardial effusion, shock, and coronary perfusion-which yields the highest AUC (0.873 [95% confidence interval (CI) 0.845-0.901]). The AUC of 5A score was 0.875 (95% CI 0.814-0.936), 0.845 (95% CI 0.811-0.878), and 0.852 (95% CI 0.821-0.883) in the internal, external, and total cohort, respectively, which outperformed the best existing risk score (German Registry for Acute Type A Aortic Dissection score AUC 0.709 [95% CI 0.669-0.749]). Conclusion: The 5A score is a novel, internally and externally validated inflammation-based tool for risk stratification of patients before surgical repair, potentially advancing individualized treatment. Trial Registration: clinicaltrials.gov Identifier: NCT04918108.

Identification of MICALL2 as a Novel Prognostic Biomarker Correlating with Inflammation and T Cell Exhaustion of Kidney Renal Clear Cell Carcinoma.

Purpose: The interplay of inflammation and immunity affects all stages from tumorigenesis to progression, and even tumor response to therapy. A growing interest has been attracted from the biological function of MICALL2 to its effects on tumor progression. This study was designed to verify whether MICALL2 could be a prognostic biomarker to predict kidney renal clear cell carcinoma (KIRC) progression, inflammation, and immune infiltration within tumor microenvironment (TME). Methods: We firstly analyzed MICALL2 expressions across 33 cancer types from the UCSC Xena database and verified its expression in KIRC through GEPIA platform and GEO datasets. The clinicopathological characteristics were further analyzed based on the median expression. Kaplan-Meier method, univariate and multivariate analyses were applied to compare survival outcomes. ESTIMATE and CIBERSORT algorithms were performed to assess immune infiltration, and a co-expression analysis was conducted to evaluate the correlation between MICALL2 and immunoregulatory genes. Enrichment analysis was finally performed to explore the biological significance of MICALL2. Results: MICALL2 was highly expressed in 16 types of cancers compared with normal tissues. MICALL2 expression increased with advanced clinicopathological parameters and was an independent predictor for poor prognosis in KIRC. Moreover, MICALL2 closely correlated with inflammation-promoting signatures and immune infiltration including T cell exhaustion markers. Consistently, MICALL2 involved in the regulation of signaling pathways associated with tumor immunity, tumor progression, and impaired metabolic activities. Conclusion: MICALL2 can function as a prognostic biomarker mediating inflammation, immune infiltration, and T cell exhaustion within the microenvironment of KIRC.

Circulating biomarker-based risk stratifications individualize arch repair strategy of acute Type A aortic dissection via the XGBoosting algorithm.

Aims: The incremental usefulness of circulating biomarkers from different pathological pathways for predicting mortality has not been evaluated in acute Type A aortic dissection (ATAAD) patients. We aim to develop a risk prediction model and investigate the impact of arch repair strategy on mortality based on distinct risk stratifications. Methods and results: A total of 3771 ATAAD patients who underwent aortic surgery retrospectively included were randomly divided into training and testing cohorts at a ratio of 7:3 for the development and validation of the risk model based on multiple circulating biomarkers and conventional clinical factors. Extreme gradient boosting was used to generate the risk models. Subgroup analyses were performed by risk stratifications (low vs. middle-high risk) and arch repair strategies (proximal vs. extensive arch repair). Addition of multiple biomarkers to a model with conventional factors fitted an ABC risk model consisting of platelet-leucocyte ratio, mean arterial pressure, albumin, age, creatinine, creatine kinase-MB, haemoglobin, lactate, left ventricular end-diastolic dimension, urea nitrogen, and aspartate aminotransferase, with adequate discrimination ability {area under the receiver operating characteristic curve (AUROC): 0.930 [95% confidence interval (CI) 0.906-0.954] and 0.954, 95% CI (0.930-0.977) in the derivation and validation cohort, respectively}. Compared with proximal arch repair, the extensive repair was associated with similar mortality risk among patients at low risk [odds ratio (OR) 1.838, 95% CI (0.559-6.038); P = 0.316], but associated with higher mortality risk among patients at middle-high risk [OR 2.007, 95% CI (1.460-2.757); P < 0.0001]. Conclusion: In ATAAD patients, the simultaneous addition of circulating biomarkers of inflammatory, cardiac, hepatic, renal, and metabolic abnormalities substantially improved risk stratification and individualized arch repair strategy.

Derivation and Validation of a Nomogram to Predict In-Hospital Complications in Children with Tetralogy of Fallot Repaired at an Older Age.

Background We aimed to develop and validate a prediction model for in-hospital complications in children with tetralogy of Fallot repaired at an older age. Methods and Results A total of 513 pediatric patients from the Tianjin data set formed a derivation cohort, and 158 pediatric patients from the Hefei and Xiamen data sets formed validation cohorts. We applied least absolute shrinkage and selection operator analysis for variable selection and logistic regression coefficients for risk scoring. We classified patients into different risk categorizations by threshold analysis and investigated the association with in-hospital complications using logistic regression. In-hospital complications were defined as death, need for extensive pharmacologic support (vasoactive-inotrope score of ≥20), and need for mechanical circulatory support. We developed a nomogram based on risk classifier and independent baseline variables using a multivariable logistic model. Based on risk scores weighted by 11 preoperative and 4 intraoperative selected variables, we classified patients as low, intermediate, and high risk in the derivation cohort. With reference to the low-risk group, the intermediate- and high-risk groups conferred significantly higher in-hospital complication risks (adjusted odds ratio: 2.721 [95% CI, 1.267-5.841], P=0.0102; 9.297 [95% CI, 4.601-18.786], P<0.0001). A nomogram integrating the ARIAR-Risk classifier (absolute and relative low risk, intermediate risk, and aggressive and refractory high risk) with age and mean blood pressure showed good discrimination and goodness-of-fit for derivation (area under the receiver operating characteristic curve: 0.785 [95% CI, 0.731-0.839]; Hosmer-Lemeshow test, P=0.544) and external validation (area under the receiver operating characteristic curve: 0.759 [95% CI, 0.636-0.881]; Hosmer-Lemeshow test, P=0.508). Conclusions A risk-classifier-oriented nomogram is a reliable prediction model for in-hospital complications in children with tetralogy of Fallot repaired at an older age, and strengthens risk/benefit-based decision-making.

Minimally invasive perventricular versus open surgical ventricular septal defect closure in infants and children: a randomised clinical trial.

BACKGROUND: Robust evidence is lacking regarding the clinical efficacy, safety and cardiopulmonary performance of perventricular closure. This study investigated the perioperative efficacy, safety and cardiorespiratory performance of perventricular closure of perimembranous ventricular septal defects (pmVSDs). METHODS: Operation-naïve infants and young children aged 5-60 months with isolated pmVSDs were randomised to receive either standard open surgical or minimally invasive perventricular closure via direct entry into the ventricle with a catheter from a subxiphoid incision. The primary outcomes included complete closure at discharge, major and minor adverse events and the changes in perioperative cardiorespiratory performance from baseline. Complete closure was mainly analysed in the modified intention-to-treat (mITT) population, with sensitivity analyses for the ITT, per-protocol (PP) and as-treated (AT) populations (non-inferiority margin -5.0%). RESULTS: We recruited 200 patients with pmVSDs for this study (mean age 24.38 months, range 7-58 months, 104 girls), of whom 100 were randomly allocated to one of the study groups. The non-inferiority of perventricular to surgical closure regarding complete closure at discharge was not shown in the ITT (absolute difference -0.010 (95% CI -0.078 to 0.058)) and mITT populations (-0.010 (95% CI -0.069 to 0.048)), but was shown in the PP (0.010 (95% CI -0.043 to 0.062)) and AT populations (0.048 (95% CI -0.009 to 0.106)). Perventricular closure reduced the rate of compromising cardiac haemodynamics, electrophysiological responses, cardiomyocyte viability, respiratory mechanics, ventilatory and gas exchange function and oxygenation and tissue perfusion compared with surgical closure (all between-group P<0.05). CONCLUSIONS: For infants and young children with pmVSD, perventricular closure reduced the rate of postoperative cardiorespiratory compromise compared with surgical closure, but the non-inferiority regarding complete closure should be interpreted in the context of the specific population. TRIAL REGISTRATION NUMBER: NCT02794584 ;Results.

[Establishment of a rat model of acute liver failure by a modified 90% bloodless hepatectomy and by D-galactosamine and lipopolysaccharide injection].

OBJECTIVE: To compare the effects of different approaches to establishing rat models of acute liver failure (ALF). METHODS: Sixty-eight Sprague-Dawley rats were randomly divided into 3 groups for establishing ALF models using 3 different approaches, namely conventional hepatectomy for resecting 90% liver tissue as described by Higgins and Anderson, modified bloodless hepatectomy for resecting 90% liver tissue, and intraperitoneal injections of 700 mg/kg D-galactosamine (D-gal) and 5 µg/kg lipopolysaccharide (LPS). The mortality of the rats due to postoperative bleeding and survival rate at 7 days after the surgery were recorded. The levels of alanine aminotransferase (ALT), total bilimbin (Tbil), albumin (ALB), NH3, glucose (Glu) and prothrombin time (PT) were monitored, and histopathologies of the liver were examined at 24 and 72 h after the surgery. RESULTS: The mortality rate due to postoperative bleeding was higher in conventional hepatectomy group than in the modified surgical group (15% vs 0). The survival rate at 7 days was 25%, 0%, 15% in conventional surgical group, modified surgical group and drug injection group, respectively. In the latter two groups, significant changes of ALT, Tbil, ALB, NH3, Glu, and PT were recorded at 24 and 72 h after the modeling (P<0.05), and these changes were the most obvious at 24 h in modified surgical group and at 72 h in the drug injection group; ALB in both groups declined to the lowest at 7 days and then increased gradually. Liver cell degeneration and necrosis were found in modified surgical group and drug injection group at 24 h and 72 h after the modeling. CONCLUSION: Both the modified 90% bloodless hepatectomy and injections of D-gal and LPS can be used to establish ideal rat models of ALF to suit different ALF-related researches.