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Aims: Very early-onset colorectal cancer (EOCRC) was defined as CRC diagnosed before the age of 35 proposed by the latest EOCRC management guideline. Until now, the disease burden of very EOCRC has never been reported. This study aimed to explore the burden of very EOCRC across the past three decades. Methods: We extracted the data from Global Burden of Disease Study to analyze the disease burden of very EOCRC. Risk factors for the burden of deaths and disability-adjusted life years (DALYs) due to very EOCRC were also explored in this study. Additionally, decomposition analysis and frontier analysis were also conducted. Results: Despite regional and gender variations, the global very EOCRC incidence cases increased from 21,874 (95 % UI: 20,386-23,470) to 41,545 (95 % UI: 37,978-45,523). Besides, the deaths cases also increased from 11,445 (95 % UI: 10,545-12,374) to 15,486 (95 % UI: 14,289-16,803), and the DALYs cases increased from 718,136 (95 % UI: 659,858-778,283) to 961,460 (95 % UI: 886,807-1,042,734). Decomposition analysis revealed the epidemiological change contributed most to the incidence burden of very EOCRC. Countries or regions with Sociodemographic Index (SDI) between 0.4 and 0.8 had greater disease burden improvement potential through frontier analysis. Diet low in milk, diet low in calcium, alcohol use, and high body-mass index were the main contributors to deaths and DALYs. Conclusions: The increase in CRC burden among populations younger than 35 years globally requires vigilance from policy makers, physicians, and young individuals themselves, especially those regions experiencing faster growth burden of very EOCRC.

Abstract Aims The presented paper aims at understanding the current situation of mechanical prevention of venous thrombosis in ICU. Design A questionnaire survey. Methods A self‐developed Questionnaire on the Current Situation of VTE Mechanical Prevention in ICU was distributed. Results A total of 125 valid questionnaires were collected. The results shows that only 11.2% ICUs had the ratio of mechanical prevention equipment to the bed number ≥0.8:1; there was significant differences among ICU nurses in different levels of hospitals in mastering the indications, contraindications and use process of venous thromboembolism mechanical prevention; 42 ICUs (33.6%) used disposable leg covers for patients before the use of mechanical prevention equipment. The face‐to‐face teaching model was the main method adopted in the education and training of mechanical prevention.

Abstract Background High flow nasal cannula (HFNC) therapy is widely employed in acute hypoxemic respiratory failure (AHRF) patients. However, the techniques for predicting HFNC outcome remain scarce. Methods PubMed, EMBASE, and Cochrane Library were searched until April 20, 2021. We included the studies that evaluated the potential predictive value of ROX (respiratory rate-oxygenation) index for HFNC outcome. This meta-analysis determined sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic score, diagnostic odds ratio (DOR), and pooled area under the summary receiver operating characteristic (SROC) curve. Results We assessed nine studies with 1933 patients, of which 745 patients experienced HFNC failure. This meta-analysis found that sensitivity, specificity, PLR, NLR, diagnostic score, and DOR of ROX index in predicting HFNC failure were 0.67 (95% CI 0.57–0.76), 0.72 (95% CI 0.65–0.78), 2.4 (95% CI 2.0–2.8), 0.46 (95% CI 0.37–0.58), 1.65(95% CI 1.37–1.93), and 5.0 (95% CI 4.0–7.0), respectively. In addition, SROC was 0.75 (95% CI 0.71–0.79). Besides, our subgroup analyses revealed that ROX index had higher sensitivity and specificity for predicting HFNC failure in COVID-19 patients, use the cut-off value > 5, and the acquisition time of other times after receiving HFNC had a greater sensitivity and specificity when compared to 6 h. Conclusions This study demonstrated that ROX index could function as a novel potential marker to identify patients with a higher risk of HFNC failure. However, the prediction efficiency was moderate, and additional research is required to determine the optimal cut-off value and propel acquisition time of ROX index in the future. PROSPERO registration number: CRD42021240607.

Background: To provide estimates and trends for burdens of early-onset colorectal cancer (EOCRC) from 1990 to 2021 at the global, regional, and national levels, and to provide projections of EOCRC burden through 2030. Methods: A trend analysis based on the Global Burden of Diseases 2021. The joinpoint regression model was used to analyze the temporal trends on EOCRC burden by calculating the corresponding average annual percent changes (AAPCs). A decomposition analysis was used to understand the drivers of the changes in EOCRC burden. The relationship between socio-demographic index (SDI) and disease burden was assessed by the concentration index of inequality. In addition, we constructed a Bayesian age-period-cohort model to predict the burden of EOCRC worldwide from 2022 to 2030. Results: Globally, the burden of EOCRC increased significantly between 1990 and 2021, with the incidence rising from 5.43/100000 to 6.13/100000 (AAPC = 0.39), and the prevalence increasing from 29.65/100000 to 38.86/100000 (AAPC = 0.87). Over the same period, the death rate decreased from 2.98/100000 to 2.30/100000 (AAPC = − 0.84), whereas the disability-adjusted life-year (DALY) decreased from 148.46/100000 to 115.42/100000 (AAPC = − 0.82). In 2021, East Asia and China had the highest burden of EOCRC regionally and nationally. Decomposition analysis indicated the increase in EOCRC burden was mainly driven by population growth. The concentration index revealed that high-SDI countries had a greater burden of EOCRC than low-SDI countries. The global incidence and prevalence of EOCRC will rise continuously from 2022 to 2030. Conclusions: Between 1990 and 2021, the incidence and prevalence of EOCRC have escalated, whereas the death rate and DALY rate have declined. The burden varied with sex, SDI, and geographical locations. Given the rising trend of EOCRC burden, coordinated efforts are needed to reduce the burden posed by this malignancy. [ABSTRACT FROM AUTHOR]

Background: Ulcerative colitis (UC) is a debilitating intestinal disorder that imposes a significant burden on those affected. Fatty acid metabolism plays a pivotal role in regulating immune cell function and maintaining internal homeostasis. This study investigates the biological and clinical significance of fatty acid metabolism within the context of UC. Methods: Gene expression profiles from patients with UC and healthy controls were retrieved, enabling the identification of differentially expressed genes (DEGs) specific to UC. These DEGs were then intersected with genes related to fatty acid metabolism, resulting in the identification of differentially expressed fatty acid metabolism-related genes (FAM-DEGs). Machine learning was employed to pinpoint key feature genes from the FAM-DEGs, which were subsequently used to construct a predictive UC model and to uncover molecular subtypes associated with fatty acid metabolism in UC. An animal model of UC was established using 3% dextran sulfate sodium (DSS) administration. Western blot analysis confirmed the expression levels of genes in intestinal tissues. Results: The machine learning analysis identified three pivotal genes—ACAT1, ACOX2, and HADHB—culminating in a highly predictive nomogram. Consensus cluster analysis further categorized 637 UC samples into two distinct subgroups. The molecular subtypes related to fatty acid metabolism in UC exhibited significant differences in gene expression, biological activities, and enrichment pathways. Immune infiltration analysis highlighted elevated expression of two genes (excluding HADHB) in subtype 1, which corresponded with a marked increase in immune cell infiltration within this subtype. Western blot analysis demonstrated that ACAT1, ACOX2, and HADHB expression levels in the DSS group were significantly reduced, paralleling those observed in the normal group. Conclusion: This study highlights the critical role of specific fatty acid metabolism-related genes in UC, emphasizing their potential as targets for therapeutic intervention and shedding light on the underlying mechanisms of UC progression. [ABSTRACT FROM AUTHOR]

Purpose: Impaired quality of life (QOL) is common in patients with inflammatory bowel disease (IBD). A tool to more quickly identify IBD patients at high risk of impaired QOL improves opportunities for earlier intervention and improves long-term prognosis. The purpose of this study was to use a machine learning (ML) approach to develop risk stratification models for evaluating IBD-related QOL impairments. Patients and Methods: An online questionnaire was used to collect clinical data on 2478 IBD patients from 42 hospitals distributed across 22 provinces in China from September 2021 to May 2022. Eight ML models used to predict the risk of IBD-related QOL impairments were developed and validated. Model performance was evaluated using a set of indexes and the best ML model was explained using a Local Interpretable Model-Agnostic Explanations (LIME) algorithm. Results: The support vector machine (SVM) classifier algorithm-based model outperformed other ML models with an area under the receiver operating characteristic curve (AUC) and an accuracy of 0.80 and 0.71, respectively. The feature importance calculated by the SVM classifier algorithm revealed that glucocorticoid use, anxiety, abdominal pain, sleep disorders, and more severe disease contributed to a higher risk of impaired QOL, while longer disease course and the use of biological agents and immunosuppressants were associated with a lower risk. Conclusion: An ML approach for assessing IBD-related QOL impairments is feasible and effective. This mechanism is a promising tool for gastroenterologists to identify IBD patients at high risk of impaired QOL. [ABSTRACT FROM AUTHOR]

The aim of this study is to investigate the prevention and treatment patterns of deep vein thrombosis (DVT) in critically ill patients and to explore the risk factors for DVT in people from Zhejiang Province, China. This study prospectively enrolled patients admitted in intensive care units (ICUs) of 54 hospitals from 09/16/2019 to 01/16/2020. The risk of developing DVT and subsequent prophylaxis was evaluated. The primary outcome was DVT occurrence during ICU hospitalisation. Univariate and multivariate logistic regression were performed to determine the risk factors for DVT. A total of 940 patients were included in the study. Among 847 patients who received prophylaxis, 635 (75.0%) patients received physical prophylaxis and 199 (23.5%) patients received drug prophylaxis. Fifty-eight (6.2%) patients were diagnosed with DVT after admission to the ICU, and 36 patients were treated with anticoagulants (all patients received low molecular weight heparin [LMWH]). D-dimer levels (OR = 1.256, 95% CI: 1.132–1.990), basic prophylaxis (OR = 0.092, 95% CI: 0.016–0.536), and physical prophylaxis (OR = 0.159, 95% CI: 0.038–0.674) were independently associated with DVT in ICU patients. The short-term survival was similar between DVT and non-DVT patients. DVT prophylaxis is widely performed in ICU patients. Prophylaxis is an independent protective factor for DVT occurrence. The most common treatment of DVT patients is LMWH, although it might increase the rate of bleeding. This is the only multicenter and prospective study of DVT in ICUs in China. d-dimer levels were independently associated with DVT in ICU patients. Prophylaxis was an independent protective factor for DVT occurrence in ICU. [ABSTRACT FROM AUTHOR]

Introduction: Tracheostomy is common in patients with critical illness. Mechanical ventilation requires the airway to be closed by an inflated tracheostomy tube cuff. Tracheostomy tube cuff rupture is a serious complication of airway management. This case study summarizes the nursing care of a patient who received prolonged mechanical ventilation and had recurrent tracheostomy tube cuff ruptures caused by a tracheal polyp., Clinical Findings and Diagnosis: An 81-year-old woman was admitted because of acute exacerbation of chronic obstructive pulmonary disease. The patient had undergone percutaneous tracheostomy 3 years earlier because of difficulty in weaning from the ventilator and had recurrent lung infections that led to respiratory failure. A tracheal polyp was identified as the cause of multiple tracheostomy tube cuff ruptures., Outcomes: After the tracheal polyp was removed with bronchofiberscope guidance, the patient remained hospitalized because of difficulty in ventilator weaning but had no further tracheostomy tube cuff ruptures., Conclusion: Tracheal polyps that cause tracheostomy tube cuff ruptures are rare, but nurses should be alert to their occurrence. If a tube cuff ruptures in a patient receiving long-term mechanical ventilation, bronchoscopy should be performed as soon as possible to allow for early identification of the cause and ensure patient safety., (©2023 American Association of Critical-Care Nurses.)

Objective: To identify the Key genes in the development of sepsis through Weighted Gene Co-Expression Network Analysis (WGCNA)., Methods: The gene expression dataset GSE154918 was downloaded from the public database Gene Expression Omnibus (GEO) database, which containes data from 105 microarrays of 40 control cases, 12 cases of asymptomatic infection, 39 cases of sepsis, and 14 cases of follow-up sepsis. The R software was used to screen out differentially expressed genes (DEG) in sepsis, and the Distributed Access View Integrated Database (DAVID), SEARCH TOOL FOR RETRIEVAL OF INTERACTING NEIGHBOURING GENES (STRING) and visualization software Cytoscape were used to perform gene function and pathway enrichment analysis, Protein-protein interaction (PPI) network analysis and key gene analysis to screen out the key genes in the development of sepsis., Results: Forty-six candidate genes were obtained by WGCNA and combined with DEG expression analysis, and these 46 genes were analyzed by gene ontology (GO) and Kyoto City Encyclopedia of Genes and Genomes (KEGG) pathway enrichment to obtain gene functions and involved signaling pathways. The PPI network was further constructed using the STRING database, and 5 key genes were selected by the PPI network visualization software Cytoscape, including the mast cell expressed membrane protein 1 gene (MCEMP1), the S100 calcium-binding protein A12 gene (S100A12), the adipokine resistance factor gene (RETN), the c-type lectin structural domain family 4 member gene (CLEC4D), and peroxisome proliferator-activated receptor gene (PPARG), and differential expression analysis of each of these 5 genes showed that the expression levels of the above 5 genes were significantly upregulated in sepsis patients compared with healthy controls., Conclusions: In this study, 5 key genes related to sepsis were screened by constructing WGCNA method, which may be potential candidate targets related to sepsis diagnosis and treatment.

Previous studies have shown that selenium and its compounds play a role in immunomodulatory, antioxidant stress and so on. If selenium can improve the prognosis of patients with sepsis, it will be another weapon in the treatment of sepsis. At present, there are some randomized controlled trials (RCTs) about parenteral selenium for the treatment of sepsis. However, the results of those studies are not consistent. Studies were searched from electronic databases including PubMed, Cochrane, and Embase. RCTs which applied the selenium to septic patients as the inference measure were collected. After data extraction and the evaluation for eventual inclusion literatures, the data were analyzed by the statistical software RevMan 5.3. A total of 11 RCTs were included, containing 1916 septic patients. Meta-analysis showed that there is no statistically significant difference between the selenium group and the control group in mortality (RR=0.95, 95%CI=0.83-1.08, P=0.42), ICU length of stay (MD=1.56, 95%CI=-0.66-3.79, P=0.17) and new infections (RR=0.95, 95%CI=0.73-1.24, P=0.69). The present study suggests that there is no sufficient evidence that the parenteral selenium can improve the prognosis of septic patients.

Objective: Sepsis is a common disease in critical patients, which may lead to myocardial damage, thereby aggravating the severity of the patients' condition, and causing adverse prognosis. How to detect sepsis with myocardial injury as early as possible, and use corresponding treatment measures on time are essential. Cardiac troponin I (cTnI), brain natriuretic peptide (BNP), myoglobin (Mb), MB isoenzyme of creatine kinase (CK-MB) and other traditional cardiac markers are easily affected by the complications of other critical diseases, thus the diagnostic value of those markers for myocardial injury of sepsis is reduced. In recent years, there have been some studies on heart-type fatty acid binding protein (H-FABP), microRNA (miRNA), soluble triggering receptor expressed on myeloid cell-1 (sTREM-1), high mobility group protein B1 (HMGB1), neutrophil gelatinase-associated lipocalin (NGAL), histone and other new biomarkers of myocardial injury in septic patients. This article reviewed the value of these unconventional cardiac markers in the diagnosis of sepsis-induced myocardial injury, with the hope to provide some help for clinic.