Gastrointestinal Perforation After Solid Organ Transplantation: A Case Series.

Although organ transplantation is associated with significant survival rates and cost benefits, postoperative complications still occur. Gastrointestinal complications, including those involving the stomach and intestines, account for 1-6% of posttransplant complications, with intestinal perforation specifically accounting for approximately 9%, depending on the center. In Vietnam, there are no comprehensive reports on these complications. Therefore, we report three clinical cases of gastrointestinal perforation following transplantation. Three cases of intestinal perforation are described in this case series. In 2023, a 16-year-old female patient who underwent heart transplantation for congenital heart disease was diagnosed with intestinal perforation on the 12th day. The patient required continued blood filtration support after surgery. In 2018, six days after liver transplantation, a 56-year-old male patient was diagnosed with intestinal perforation, which was subsequently repaired, and the ends of his intestines were removed. The patient was discharged in stable condition after 30 days. In 2017, five days after kidney transplantation, a 46-year-old female patient was diagnosed with intestinal perforation, which was repaired, and the perforation site was left open. The patient was discharged in stable condition after 40 days. Intestinal perforation is a relatively rare, but not uncommon, complication. Early diagnosis is challenging due to nonspecific clinical symptoms and signs. Considering the possibility of intestinal perforation and obtaining early abdominal computed tomography imaging can help prevent delayed diagnosis.

Association of severe obesity with risk of conversion to open in laparoscopic cholecystectomy for acute cholecystitis.

Background: Obesity is a known risk factor for cholecystitis and is associated with technical complications during laparoscopic procedures. The present study seeks to assess the association between obesity class and conversion to open (CTO) during laparoscopic cholecystectomy (LC). Methods: Adult acute cholecystitis patients with obesity undergoing non-elective LC were identified in the 2017-2020 Nationwide Readmissions Database. Patients were stratified by obesity class; class 1 (Body Mass Index [BMI] = 30.0-34.9), class 2 (BMI = 35.0-39.9), and class 3 (BMI ≥ 40.0). Multivariable regression models were developed to assess factors associated with CTO and its association with perioperative complications and resource utilization. Results: Of 89,476 patients undergoing LC, 40.6 % had BMI ≥ 40.0. Before adjustment, class 3 obesity was associated with increased rates of CTO compared to class 1-2 (4.6 vs 3.8 %; p < 0.001). Following adjustment, class 3 remained associated with an increased likelihood of CTO (Adjusted Odds Ratio [AOR] 1.45, 95 % Confidence Interval [CI] 1.31-1.61; ref.: class 1-2). Patients undergoing CTO had increased risk of blood transfusion (AOR 3.27, 95 % CI 2.54-4.22) and respiratory complications (AOR 1.36, 95 % CI 1.01-1.85). Finally, CTO was associated with incremental increases in hospitalization costs (ß + $719, 95 % CI 538-899) and length of stay (LOS; ß +2.20 days, 95 % CI 2.05-2.34). Conclusions: Class 3 obesity is a significant risk factor for CTO. Moreover, CTO is associated with increased hospitalization costs and LOS. As the prevalence of obesity grows, improved understanding of operative risk by approach is required to optimize clinical outcomes. Our findings are relevant to shared decision-making and informed consent.

Using a hybrid neural network architecture for DNA sequence representation: A study on N4-methylcytosine sites.

N4-methylcytosine (4mC) is a modified form of cytosine found in DNA, contributing to epigenetic regulation. It exists in various genomes, including the Rosaceae family encompassing significant fruit crops like apples, cherries, and roses. Previous investigations have examined the distribution and functional implications of 4mC sites within the Rosaceae genome, focusing on their potential roles in gene expression regulation, environmental adaptation, and evolution. This research aims to improve the accuracy of predicting 4mC sites within the genome of Fragaria vesca, a Rosaceae plant species. Building upon the original 4mc-w2vec method, which combines word embedding processing and a convolutional neural network (CNN), we have incorporated additional feature encoding techniques and leveraged pre-trained natural language processing (NLP) models with different deep learning architectures including different forms of CNN, recurrent neural networks (RNN) and long short-term memory (LSTM). Our assessments have shown that the best model is derived from a CNN model using fastText encoding. This model demonstrates enhanced performance, achieving a sensitivity of 0.909, specificity of 0.77, and accuracy of 0.879 on an independent dataset. Furthermore, our model surpasses previously published works on the same dataset, thus showcasing its superior predictive capabilities.

In silico screening of Fyn kinase inhibitors using classification-based QSAR model, molecular docking, molecular dynamics and ADME study.

This study aimed to use a computational approach that combined the classification-based QSAR model, molecular docking, ADME studies, and molecular dynamics (MD) to identify potential inhibitors of Fyn kinase. First, a robust classification model was developed from a dataset of 1,078 compounds with known Fyn kinase inhibitory activity, using the XGBoost algorithm. After that, molecular docking was performed between potential compounds identified from the QSAR model and Fyn kinase to assess their binding strengths and key interactions, followed by MD simulations. ADME studies were additionally conducted to preliminarily evaluate the pharmacokinetics and drug-like characteristics of these compounds. The results showed that our obtained model exhibited good predictive performance with an accuracy of 0.95 on the test set, affirming its reliability in identifying potent Fyn kinase inhibitors. Through the application of this model in conjunction with molecular docking and ADME studies, nine compounds were identified as potential Fyn kinase inhibitors, including 208 (ZINC70708110), 728 (ZINC8792432), 734 (ZINC8792187), 736 (ZINC8792350), 738 (ZINC8792286), 739 (ZINC8792309), 817 (ZINC33901069), 852 (ZINC20759145), and 1227 (ZINC100006936). MD simulations further demonstrated that the four most promising compounds, 728, 734, 736, and 852 exhibited stable binding with Fyn kinase during the simulation process. Additionally, a web-based platform ( https://fynkinase.streamlit.app/ ) has been developed to streamline the screening process. This platform enables users to predict the activity of their substances of interest on Fyn kinase from their SMILES, using our classification-based QSAR model and molecular docking.

Corrigendum: Effectiveness of perindopril/amlodipine fixed-dose combination in the treatment of hypertension: a systematic review.

[This corrects the article DOI: 10.3389/fphar.2023.1156655.].

Nationwide Trends in Utilization of Minimally Invasive Techniques for Blunt Abdominal Trauma.

BACKGROUND: Despite increasing use of minimally invasive surgical (MIS) techniques for trauma, limited large-scale studies have evaluated trends, outcomes, and resource utilization at centers that utilize MIS modalities for blunt abdominal trauma. METHODS: Operative adult admissions after blunt assault, falls, or vehicular collisions were tabulated from the 2016-2020 National Inpatient Sample. Patients who received diagnostic laparoscopy or other laparoscopic and robotic intervention were classified as MIS. Institutions with at least one MIS trauma operation in a year were defined as an MIS Performing Institution (MPI; rest: non-MPI). The primary endpoint was mortality, with secondary outcomes of reoperation, complication, postoperative length of stay (LOS), and hospitalization costs. Mixed regression models were used to determine the association of MPI status on the outcomes of interest. RESULTS: Throughout the study period, the proportion of MIS operations and MPI significantly increased from 22.6 to 29.8% and 45.9 to 58.8%, respectively. Of an estimated 77,480 patients, 66.7% underwent care at MPI. After adjustment, MPI status was not associated with increased odds of mortality (adjusted odds ratio [AOR] 1.09, 95% confidence interval [CI] [.96,1.24]), reoperation (AOR 1.02, CI [.87,1.19]), or any of the tabulated complications. There was additionally no difference in adjusted LOS (ß-.18, CI [-.85, +.49]) or costs (ß+$1600, CI [-1600, +4800]), between MPI and non-MPI. DISCUSSION: The use of MIS operations in blunt abdominal trauma has significantly increased, with performing centers experiencing no difference in mortality or resource utilization. Prospectively collected data on outcomes following MIS trauma surgery is necessary to elucidate appropriate applications.

Recent progress in machine learning approaches for predicting carcinogenicity in drug development.

INTRODUCTION: This review explores the transformative impact of machine learning (ML) on carcinogenicity prediction within drug development. It discusses the historical context and recent advancements, emphasizing the significance of ML methodologies in overcoming challenges related to data interpretation, ethical considerations, and regulatory acceptance. AREAS COVERED: The review comprehensively examines the integration of ML, deep learning, and diverse artificial intelligence (AI) approaches in various aspects of drug development safety assessments. It explores applications ranging from early-phase compound screening to clinical trial optimization, highlighting the versatility of ML in enhancing predictive accuracy and efficiency. EXPERT OPINION: Through the analysis of traditional approaches such as in vivo rodent bioassays and in vitro assays, the review underscores the limitations and resource intensity associated with these methods. It provides expert insights into how ML offers innovative solutions to address these challenges, revolutionizing safety assessments in drug development.

Machine learning prediction of hospitalization costs for coronary artery bypass grafting operations.

BACKGROUND: With the steady rise in health care expenditures, the examination of factors that may influence the costs of care has garnered much attention. Although machine learning models have previously been applied in health economics, their application within cardiac surgery remains limited. We evaluated several machine learning algorithms to model hospitalization costs for coronary artery bypass grafting. METHODS: All adult hospitalizations for isolated coronary artery bypass grafting were identified in the 2016 to 2020 Nationwide Readmissions Database. Machine learning models were trained to predict expenditures and compared with traditional linear regression. Given the significance of postoperative length of stay, we additionally developed models excluding postoperative length of stay to uncover other drivers of costs. To facilitate comparison, machine learning classification models were also trained to predict patients in the highest decile of costs. Significant factors associated with high cost were identified using SHapley Additive exPlanations beeswarm plots. RESULTS: Among 444,740 hospitalizations included for analysis, the median cost of hospitalization in coronary artery bypass grafting patients was $43,103. eXtreme Gradient Boosting most accurately predicted hospitalization costs, with R2 = 0.519 over the validation set. The top predictive features in the eXtreme Gradient Boosting model included elective procedure status, prolonged mechanical ventilation, new-onset respiratory failure or myocardial infarction, and postoperative length of stay. After removing postoperative length of stay, eXtreme Gradient Boosting remained the most accurate model (R2 = 0.38). Prolonged ventilation, respiratory failure, and elective status remained important predictive parameters. CONCLUSION: Machine learning models appear to accurately model total hospitalization costs for coronary artery bypass grafting. Future work is warranted to uncover other drivers of costs and improve the value of care in cardiac surgery.

Clinical and financial outcomes associated with the utilization of right internal mammary artery versus radial artery in multivessel coronary artery bypass grafting.

BACKGROUND: Multi-arterial coronary bypass grafting with the left internal mammary artery as a conduit has been shown to offer superior long-term survival compared to single-arterial coronary bypass grafting. Nevertheless, the selection of a secondary conduit between the right internal mammary artery and the radial artery remains controversial. Using a national cohort, we examined the relationships between the right internal mammary artery and the radial artery with acute clinical and financial outcomes. METHODS: Adults undergoing on-pump multivessel coronary bypass grafting with left internal mammary artery as the first arterial conduit were identified in the 2016 to 2020 Nationwide Readmissions Database. Patients receiving either the right internal mammary artery or the radial artery, but not both, were included in the analysis. Multivariable regression models were fitted to examine the association between the conduits and in-hospital mortality, as well as additional secondary outcomes. RESULTS: Of an estimated 49,798 patients undergoing multi-arterial coronary bypass grafting, 29,729 (59.7%) comprised the radial artery cohort. During the study period, the proportion of multi-arterial coronary bypass grafting utilizing the radial artery increased from 51.3% to 65.2% (nptrend <0.001). Following adjustment, the radial artery was associated with reduced odds of in-hospital mortality (adjusted odds ratio 0.44), prolonged mechanical ventilation (adjusted odds ratio 0.78), infectious complications (adjusted odds ratio 0.69), and 30-day nonelective readmission (adjusted odds ratio 0.77, all P < .05). CONCLUSION: Despite no definite endorsement from surgical societies, the radial artery is increasingly utilized as a secondary conduit in multi-arterial coronary bypass grafting. Compared to the right internal mammary artery, the radial artery was associated with lower odds of in-hospital mortality, complications, and reduced healthcare expenditures. These results suggest that whenever feasible, the radial artery should be the favored conduit over the right internal mammary artery. Nevertheless, future studies examining long-term outcomes associated with these vessels remain necessary.

Mortality and resource utilization in surgical versus transcatheter repeat mitral valve replacement: A national analysis.

BACKGROUND: Transcatheter mitral valve replacement (TMVR) has garnered interest as a viable alternative to the traditional surgical mitral valve replacement (SMVR) for high-risk patients requiring redo operations. This study aims to evaluate the association of TMVR with selected clinical and financial outcomes. METHODS: Adults undergoing isolated redo mitral valve replacement were identified in the 2016-2020 Nationwide Readmissions Database and categorized into TMVR or SMVR cohorts. Various regression models were developed to assess the association between TMVR and in-hospital mortality, as well as additional secondary outcomes. Transseptal and transapical catheter-based approaches were also compared in relation to study endpoints. RESULTS: Of an estimated 7,725 patients, 2,941 (38.1%) underwent TMVR. During the study period, the proportion of TMVR for redo operations increased from 17.8% to 46.7% (nptrend<0.001). Following adjustment, TMVR was associated with similar odds of in-hospital mortality (AOR 0.82, p = 0.48), but lower odds of stroke (AOR 0.44, p = 0.001), prolonged ventilation (AOR 0.43, p<0.001), acute kidney injury (AOR 0.61, p<0.001), and reoperation (AOR 0.29, p = 0.02). TMVR was additionally correlated with shorter postoperative length of stay (pLOS; ß -0.98, p<0.001) and reduced costs (ß -$10,100, p = 0.002). Additional analysis demonstrated that the transseptal approach had lower adjusted mortality (AOR 0.44, p = 0.02), shorter adjusted pLOS (ß -0.43, p<0.001), but higher overall costs (ß $5,200, p = 0.04), compared to transapical. CONCLUSIONS: In this retrospective cohort study, we noted TMVR to yield similar odds of in-hospital mortality as SMVR, but fewer complications and reduced healthcare expenditures. Moreover, transseptal approaches were associated with lower adjusted mortality, shorter pLOS, but higher cost, relative to the transapical. Our findings suggest that TMVR represent a cost-effective and safe treatment modality for patients requiring redo mitral valve procedures. Nevertheless, future studies examining long-term outcomes associated with SMVR and TMVR in redo mitral valve operations, are needed.

Unitig-centered pan-genome machine learning approach for predicting antibiotic resistance and discovering novel resistance genes in bacterial strains.

In current genomic research, the widely used methods for predicting antimicrobial resistance (AMR) often rely on prior knowledge of known AMR genes or reference genomes. However, these methods have limitations, potentially resulting in imprecise predictions owing to incomplete coverage of AMR mechanisms and genetic variations. To overcome these limitations, we propose a pan-genome-based machine learning approach to advance our understanding of AMR gene repertoires and uncover possible feature sets for precise AMR classification. By building compacted de Brujin graphs (cDBGs) from thousands of genomes and collecting the presence/absence patterns of unique sequences (unitigs) for Pseudomonas aeruginosa, we determined that using machine learning models on unitig-centered pan-genomes showed significant promise for accurately predicting the antibiotic resistance or susceptibility of microbial strains. Applying a feature-selection-based machine learning algorithm led to satisfactory predictive performance for the training dataset (with an area under the receiver operating characteristic curve (AUC) of > 0.929) and an independent validation dataset (AUC, approximately 0.77). Furthermore, the selected unitigs revealed previously unidentified resistance genes, allowing for the expansion of the resistance gene repertoire to those that have not previously been described in the literature on antibiotic resistance. These results demonstrate that our proposed unitig-based pan-genome feature set was effective in constructing machine learning predictors that could accurately identify AMR pathogens. Gene sets extracted using this approach may offer valuable insights into expanding known AMR genes and forming new hypotheses to uncover the underlying mechanisms of bacterial AMR.

Hospital Quality Mediates Impact of Care Fragmentation Following Elective Colectomy.

BACKGROUND: Readmission at a non-index hospital, or care fragmentation (CF), has been previously linked to greater morbidity and resource utilization. However, a contemporary evaluation of the impact of CF on readmission outcomes following elective colectomy is lacking. We additionally sought to evaluate the role of hospital quality in mediating the effect of CF. METHODS: All records for adults undergoing elective colectomy were tabulated from the 2016 to 2020 Nationwide Readmissions Database. Patients readmitted non-electively within 30 days to a non-index center comprised the CF cohort (others: Non-CF). Hierarchical mixed-effects models were constructed to ascertain risk-adjusted rates of major adverse events (MAEs, a composite of in-hospital mortality and any complication) attributable to center-level effects. Hospitals with risk-adjusted MAE rates ≥50th percentile were considered Low-Quality Hospitals (LQHs) (others: High-Quality Hospitals [HQHs]). RESULTS: Of 68,185 patients readmitted non-electively within 30 days, 8968 (13.2%) were categorized as CF. On average, CF was older, of greater comorbidity burden, and more often underwent colectomy for cancer, relative to Non-CF. Following risk adjustment, CF remained independently associated with greater likelihood of MAE (adjusted odds ratio [AOR] 1.16, 95% Confidence Interval [CI] 1.05-1.27) and per-patient expenditures (ß+$2,280, CI +$1080-3490). Further, readmission to non-index LQH was linked with significantly increased odds of MAE, following initial care at HQH (AOR 1.43, CI 1.03-1.99) and LQH (AOR 1.72, CI 1.30-2.28; Reference: Non-CF). CONCLUSIONS: Care fragmentation was associated with greater morbidity and resource utilization at readmission following elective colectomy. Further, rehospitalization at non-index LQH conferred significantly inferior outcomes. Novel efforts are needed to improve continuity of care.

Enhancing Nasopharyngeal Carcinoma Survival Prediction: Integrating Pre- and Post-Treatment MRI Radiomics with Clinical Data.

Recurrences are frequent in nasopharyngeal carcinoma (NPC) despite high remission rates with treatment, leading to considerable morbidity. This study aimed to develop a prediction model for NPC survival by harnessing both pre- and post-treatment magnetic resonance imaging (MRI) radiomics in conjunction with clinical data, focusing on 3-year progression-free survival (PFS) as the primary outcome. Our comprehensive approach involved retrospective clinical and MRI data collection of 276 eligible NPC patients from three independent hospitals (180 in the training cohort, 46 in the validation cohort, and 50 in the external cohort) who underwent MRI scans twice, once within 2 months prior to treatment and once within 10 months after treatment. From the contrast-enhanced T1-weighted images before and after treatment, 3404 radiomics features were extracted. These features were not only derived from the primary lesion but also from the adjacent lymph nodes surrounding the tumor. We conducted appropriate feature selection pipelines, followed by Cox proportional hazards models for survival analysis. Model evaluation was performed using receiver operating characteristic (ROC) analysis, the Kaplan-Meier method, and nomogram construction. Our study unveiled several crucial predictors of NPC survival, notably highlighting the synergistic combination of pre- and post-treatment data in both clinical and radiomics assessments. Our prediction model demonstrated robust performance, with an accuracy of AUCs of 0.66 (95% CI: 0.536-0.779) in the training cohort, 0.717 (95% CI: 0.536-0.883) in the testing cohort, and 0.827 (95% CI: 0.684-0.948) in validation cohort in prognosticating patient outcomes. Our study presented a novel and effective prediction model for NPC survival, leveraging both pre- and post-treatment clinical data in conjunction with MRI features. Its constructed nomogram provides potentially significant implications for NPC research, offering clinicians a valuable tool for individualized treatment planning and patient counseling.

Trends in the adoption of diverting loop ileostomy for acute complicated diverticulitis in the United States.

BACKGROUND: Acute complicated diverticulitis poses a substantial burden to individual patients and the health care system. A significant proportion of the cases necessitate emergency operations. The choice between Hartmann's procedure and primary anastomosis with diverting loop ileostomy remains controversial. METHODS: Using American College of Surgeons National Surgical Quality Improvement Program patient user file data from 2012 to 2020, patients undergoing Hartmann's procedure and primary anastomosis with diverting loop ileostomy for nonelective sigmoidectomy for complicated diverticulitis were identified. Major adverse events, 30-day mortality, perioperative complications, operative duration, reoperation, and 30-day readmissions were assessed. RESULTS: Of 16,921 cases, 6.3% underwent primary anastomosis with diverting loop ileostomy, showing a rising trend from 5.3% in 2012 to 8.4% in 2020. Primary anastomosis with diverting loop ileostomy patients, compared to Hartmann's procedure, had similar demographics and fewer severe comorbidities. Primary anastomosis with diverting loop ileostomy exhibited lower rates of major adverse events (24.6% vs 29.3%, P = .001). After risk adjustment, primary anastomosis with diverting loop ileostomy had similar risks of major adverse events and 30-day mortality compared to Hartmann's procedure. While having lower odds of respiratory (adjusted odds ratio 0.61, 95% confidence interval 0.45-0.83) and infectious (adjusted odds ratio 0.78, 95% confidence interval 0.66-0.93) complications, primary anastomosis with diverting loop ileostomy was associated with a 36-minute increment in operative duration and increased odds of 30-day readmission (adjusted odds ratio 1.30, 95% confidence interval 1.07-1.57) compared to Hartmann's procedure. CONCLUSION: Primary anastomosis with diverting loop ileostomy displayed comparable odds of major adverse events compared to Hartmann's procedure in acute complicated diverticulitis while mitigating infectious and respiratory complication risks. However, primary anastomosis with diverting loop ileostomy was associated with longer operative times and greater odds of 30-day readmission. Evolving guidelines and increasing primary anastomosis with diverting loop ileostomy use suggest a shift favoring primary anastomosis, especially in complicated diverticulitis. Future investigation of disparities in surgical approaches and patient outcomes is warranted to optimize acute diverticulitis care pathways.

Sa-TTCA: An SVM-based approach for tumor T-cell antigen classification using features extracted from biological sequencing and natural language processing.

Accurately predicting tumor T-cell antigen (TTCA) sequences is a crucial task in the development of cancer vaccines and immunotherapies. TTCAs derived from tumor cells, are presented to immune cells (T cells) through major histocompatibility complex (MHC), via the recognition of specific portions of their structure known as epitopes. More specifically, MHC class I introduces TTCAs to T-cell receptors (TCR) which are located on the surface of CD8+ T cells. However, TTCA sequences are varied and lead to struggles in vaccine design. Recently, Machine learning (ML) models have been developed to predict TTCA sequences which could aid in fast and correct TTCA identification. During the construction of the TTCA predictor, the peptide encoding strategy is an important step. Previous studies have used biological descriptors for encoding TTCA sequences. However, there have been no studies that use natural language processing (NLP), a potential approach for this purpose. As sentences have their own words with diverse properties, biological sequences also hold unique characteristics that reflect evolutionary information, physicochemical values, and structural information. We hypothesized that NLP methods would benefit the prediction of TTCA. To develop a new identifying TTCA model, we first constructed a based model with widely used ML algorithms and extracted features from biological descriptors. Then, to improve our model performance, we added extracted features from biological language models (BLMs) based on NLP methods. Besides, we conducted feature selection by using Chi-square and Pearson Correlation Coefficient techniques. Then, SMOTE, Up-sampling, and Near-Miss were used to treat unbalanced data. Finally, we optimized Sa-TTCA by the SVM algorithm to the four most effective feature groups. The best performance of Sa-TTCA showed a competitive balanced accuracy of 87.5% on a training set, and 72.0% on an independent testing set. Our results suggest that integrating biological descriptors with natural language processing has the potential to improve the precision of predicting protein/peptide functionality, which could be beneficial for developing cancer vaccines.

Cost variation of nonelective surgery for ulcerative colitis across the United States.

BACKGROUND: Although clinical outcomes of surgery for ulcerative colitis (UC) have improved in the modern biologic era, expenditures continue to increase. A contemporary cost analysis of UC operative care is lacking. The present study aimed to characterize risk factors and center-level variation in hospitalization costs after nonelective resection for UC. METHODS: All adults with UC in the 2016-2020 Nationwide Readmissions Database undergoing nonelective colectomy or rectal resection were identified. Mixed-effects models were developed to evaluate patient and hospital factors associated with costs. Random effects were estimated and used to rank hospitals by increasing risk-adjusted center-level costs. High-cost hospitals (HCHs) in the top decile of expenditure were identified, and their association with select outcomes was subsequently assessed. RESULTS: An estimated 10,280 patients met study criteria with median index hospitalization costs of $40,300 (IQR, $26,400-$65,000). Increased time to surgery was significantly associated with a +$2500 increment in costs per day. Compared with low-volume hospitals, medium- and high-volume centers demonstrated a -$5900 and -$8200 reduction in costs, respectively. Approximately 19.2% of variability in costs was attributable to interhospital differences rather than patient factors. Although mortality and readmission rates were similar, HCH status was significantly associated with increased complications (adjusted odds ratio [AOR], 1.39), length of stay (+10.1 days), and nonhome discharge (AOR, 1.78). CONCLUSION: The present work identified significant hospital-level variation in the costs of nonelective operations for UC. Further efforts to optimize time to surgery and regionalize care to higher-volume centers may improve the value of UC surgical care in the United States.

Association of Interhospital Transfer With Outcomes of Extracorporeal Membrane Oxygenation: A Contemporary Analysis.

BACKGROUND: Extracorporeal membrane oxygenation (ECMO) has emerged as a life-sustaining measure for individuals with end-stage cardiopulmonary derangements. An estimated one-third of patients must be transferred to a specialized center to receive this intervention. Therefore, the present study sought to characterize the impact of interhospital transfer (IHT) status on outcomes following ECMO. METHODS: The 2016-2020 National Inpatient Sample was queried to identify all adult (≥18 years) hospitalizations for ECMO. Patients were stratified based on transfer status from another acute care hospital. Multivariable regression models were developed to assess the association between transfer status and outcomes of interest. Patient and operative factors associated with IHT were identified using regression. RESULTS: Of an estimated 61,180 hospitalizations entailing ECMO, 21,410 (35.0%) were transfers. Annual transfer volume doubled over the study period, from 2915 to 5945 (nptrend < .001). The predicted morality risk of non-transfers decreased between 2016 and 2020 but remained similar in transferred patients. Following adjustment, transfer was associated with increased odds of in-hospital mortality, complications, duration of stay, and hospitalization costs. Patients experiencing transfer were less likely to be of black race and private insurance status. CONCLUSION: Despite increasing transfer volume and utilization of ECMO, IHT was associated with significant mortality and hospital complication risks. Further work to reduce adverse outcomes, resource burden, and socioeconomic differences within IHT may improve accessibility to this life-saving modality.

Prevalence and determinants of constipation in children in Asia: a systematic review and meta-analysis.

Background: Constipation is prevalent worldwide, significantly increasing healthcare costs and diminishing the quality of life in children affected. Current studies have yielded mixed results regarding the factors associated with constipation, and mainly focusing on patients outside of Asia. Moreover, most of these studies lack focus on the paediatric population. This study aimed to identify the prevalence and associated factors of constipation among children in Asia. Methods: In this systematic review and meta-analysis, we systematically searched PubMed, Scopus, and Cochrane for cohort and cross-sectional studies published from database inception up to October 12, 2022, and continued with manual searching until September 2, 2023. Eligible studies were those that included children in Asia aged 0-18 years old suffering from idiopathic constipation, with prevalence value provided in the English abstract. The analysis included clinical and general population. Children with organic constipation, who had undergone gastrointestinal surgery, or with congenital defects were excluded, as these factors affect the incidence of constipation. Data included in the analysis were extracted from published reports only. The extracted data were pooled using random-effects model to analyse the prevalence of constipation in children in Asia. This study is registered with PROSPERO, CRD42022367122. Findings: Out of 4410 systematically searched studies and 36 manually searched ones, a total of 50 studies were included in the final analysis, encompassing data from 311,660 children residing in Asia. The pooled prevalence of constipation was 12.0% (95% CI 9.3-14.6%, I2 = 99.8%). There was no significant difference in constipation prevalence observed by sex and geographical location. Nonetheless, adolescents and children aged 1-9 years exhibited a significantly higher prevalence constipation compared to infants (p < 0.0001) Additionally, significant differences in constipation rates were observed across various diagnostic methods, population sources, and mental health conditions. Interpretation: Despite the high heterogeneity resulting from varying diagnostic tools or definitions used among studies, our review adds to the literature on constipation among children in Asia. It reveals a notably high prevalence of constipation in this demographic. Diagnostic methods, age, and compromised mental health emerged as significant influencers of constipation among children in Asia, highlighting potential strategies to mitigate constipation prevalence in children in Asia. Funding: The National Science and Technology Council, Taiwan.

Knowledge, attitude and preventive practice toward Covid-19 and associated factors among outpatients in a rural hospital in Vietnam.

Background: The COVID-19 pandemic has emphasized the critical role of public knowledge, attitudes, and practices (KAP) in disease containment. Understanding these aspects can guide health promotion initiatives and policy decisions. Design and methods: This cross-sectional study examined the KAP concerning COVID-19 prevention in Vietnam. Participants' sociodemographic data, along with KAP toward COVID-19, were collected in a survey utilizing a standardized questionnaire. Uni- and multivariable logistic regression were used to identify factors associated with poor level of KAP. Results: Of 335 participants, 97 (28.9%) had poor knowledge, 52 (15.5%) poor attitude, and 48 (14.3%) poor practices. Older age (OR = 2.23; p = 0.024), minority non-Kinh ethnicity (OR = 3.05; p = 0.03), education below high school (OR = 8.80; p < 0.001), limited social media access (OR = 2.86; p = 0.002), and limited mobile phone usage (OR = 3.08; p = 0.001) increased poor knowledge risks. Non-Kinh ethnicity (OR = 5.00; p = 0.005) and lower education (OR = 14.79; p < 0.001) were linked to poor attitude. Older age (OR = 2.26; p = 0.035), lower education (OR = 5.74; p = 0.003), and poor knowledge (OR = 3.33; p = 0.005) were associated with poor practices. Conclusions: Elderly individuals, those with low education, and limited media access had elevated risks of poor KAP. Emphasizing public health media and targeted education, especially for underserved groups, is vital for effective epidemic management and future strategy planning.

Retroperitoneal laparoscopic partial nephrectomy for metanephric adenoma in a pediatric patient - The first case report from vietnam.

Metanephric adenoma presents as a rare benign tumor in children with differentiated diagnoses: Wilms tumor or renal cell carcinoma. When confronted with small renal tumors, whether they fall into one of these three diagnostic categories, tumor resection surgery with laparoscopic partial nephrectomy is considered a viable and effective operative approach. Herein, we report the case of an 11-year-old female patient initially diagnosed with stage T1a renal cell carcinoma with postoperative pathology results confirming metanephric adenoma. Successfully treated with laparoscopic partial nephrectomy, the patient showed no signs of recurrence or metastasis during follow-up.