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Background: Promoting patient participation stands as a global priority in nursing care. Currently, there is a lack of a standardized tool to assess the culture of patient participation from the perspective of nurses in China. Aims: To translate and examine the validity and reliability of the Patient Participation Culture Tool for healthcare workers (PaCT-HCW) on general hospital wards in Chinese nursing context. Methods: A cross-sectional research study was conducted among 812 nurses. Brislin's recommendations were adhered to during the translation of the scale. Validity was assessed using construct validity, content validity, and face validity. Split-half reliability, test–retest reliability, and internal consistency reliability were used to evaluate dependability. The study was guided and reported following the STROBE checklist and recommendations for reporting the results of studies of instrument and scale development and testing. Results: The Chinese version of PaCT-HCW (the PaCT-HCW-C) exhibits good face validity and content validity. A rigorous exploratory factor analyse verified a six-factor (competence, support, perceived lack of time, information sharing and dialogue, response to questions and acceptance of a new role) scale structure with a cumulative variance contribution of the factors with 44 items of 68.840%. With a Cronbach's α coefficient of 0.962, split-half reliability of 0.866, and intraclass correlation coefficients of 0.989, the instrument demonstrates great reliability. Confirmatory factor analysis results validated the consistency of the six factors with the structure of the PaCT-HCW-C scale. Conclusions: The 44-item PaCT-HCW-C is a valid and reliable instrument with satisfactory psychometric properties. It could serve as a tool for assessing the effectiveness of international programs aimed at fostering patient participation from the perspective of nurses, while also providing insights from China's practical experiences. [ABSTRACT FROM AUTHOR]

Background: Fetal growth restriction (FGR) occurs in 10% of pregnancies worldwide. Placenta dysfunction, as one of the most common causes of FGR, is associated with various poor perinatal outcomes. The main objectives of this study were to screen potential diagnostic biomarkers for FGR and to evaluate the function of immune cell infiltration in the process of FGR., Methods: Firstly, differential expression genes (DEGs) were identified in two Gene Expression Omnibus (GEO) datasets, and gene set enrichment analysis was performed. Diagnosis-related key genes were identified by using three machine learning algorithms (least absolute shrinkage and selection operator, random forest, and support vector machine model), and the nomogram was then developed. The receiver operating characteristic curve, calibration curve, and decision curve analysis curve were used to verify the validity of the diagnostic model. Using cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT), the characteristics of immune cell infiltration in placental tissue of FGR were evaluated and the candidate key immune cells of FGR were screened. In addition, this study also validated the diagnostic efficacy of TREM1 in the real world and explored associations between TREM1 and various clinical features., Results: By overlapping the genes selected by three machine learning algorithms, four key genes were identified from 290 DEGs, and the diagnostic model based on the key genes showed good predictive performance (AUC = 0.971). The analysis of immune cell infiltration indicated that a variety of immune cells may be involved in the development of FGR, and nine candidate key immune cells of FGR were screened. Results from real-world data further validated TREM1 as an effective diagnostic biomarker (AUC = 0.894) and TREM1 expression was associated with increased uterine artery PI (UtA-PI) (p-value = 0.029)., Conclusion: Four candidate hub genes (SCD, SPINK1, TREM1, and HIST1H2BB) were identified, and the nomogram was constructed for FGR diagnosis. TREM1 was not only associated with a variety of key immune cells but also correlated with increased UtA-PI. The results of this study could provide some new clues for future research on the prediction and treatment of FGR., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wei, Liu, Cai, Shi, Sun, Zhang, Zhou and Sun.)

Malignant mesothelioma is a rare tumour caused by asbestos exposure that originates mainly from the pleural lining or the peritoneum. Treatment options are limited, and the prognosis is dismal. Although immune checkpoint blockade (ICB) can improve survival outcomes, the determinants of responsiveness remain elusive. Here, we report the outcomes of a multi-centre phase II clinical trial (MiST4, NCT03654833) evaluating atezolizumab and bevacizumab (AtzBev) in patients with relapsed mesothelioma. We also use tumour tissue and gut microbiome sequencing, as well as tumour spatial immunophenotyping to identify factors associated with treatment response. MIST4 met its primary endpoint with 50% 12-week disease control, and the treatment was tolerable. Aneuploidy, notably uniparental disomy (UPD), homologous recombination deficiency (HRD), epithelial-mesenchymal transition and inflammation with CD68 + monocytes were identified as tumour-intrinsic resistance factors. The log-ratio of gut-resident microbial genera positively correlated with radiological response to AtzBev and CD8 + T cell infiltration, but was inversely correlated with UPD, HRD and tumour infiltration by CD68 + monocytes. In summary, a model is proposed in which both intrinsic and extrinsic determinants in mesothelioma cooperate to modify the tumour microenvironment and confer clinical sensitivity to AtzBev. Gut microbiota represent a potentially modifiable factor with potential to improve immunotherapy outcomes for individuals with this cancer of unmet need., (© 2024. The Author(s).)

Background: The incidence of cardiac arrest (CA) during percutaneous coronary intervention (PCI) is relatively rare. However, when it does occur, the mortality rate is extremely high. Extracorporeal cardiopulmonary resuscitation (ECPR) has shown promising survival rates for in-hospital cardiac arrests (IHCA), with low-flow time being an independent prognostic factor for CA. However, there is no definitive answer on how to reduce low-flow time., Methods: This retrospective study, conducted at a single center, included 39 patients who underwent ECPR during PCI between January 2016 and December 2022. The patients were divided into two cohorts based on whether standby extracorporeal membrane oxygenation (ECMO) was utilized during PCI: standby ECPR (SBE) ( n = 13) and extemporaneous ECPR (EE) ( n = 26). We compared the 30-day mortality rates between these two cohorts and investigated factors associated with survival., Results: Compared to the EE cohort, the SBE cohort showed significantly lower low-flow time ( P < 0.01), ECMO operation time ( P < 0.01), and a lower incidence of acute kidney injury (AKI) ( P = 0.017), as well as peak lactate ( P < 0.01). Stand-by ECMO was associated with improved 30-day survival ( p = 0.036), while prolonged low-flow time ( p = 0.004) and a higher SYNTAX II score ( p = 0.062) predicted death at 30 days., Conclusions: Standby ECMO can provide significant benefits for patients who undergo ECPR for CA during PCI. It is a viable option for high-risk PCI cases and may enhance the overall prognosis. The low-flow time remains a critical determinant of survival., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Liu, Li, Li, Shen, Sun, Zhao, Zhao and Fu.)

Context.—: Most patients with non-small cell lung cancers (NSCLC) are diagnosed at advanced stages. The 5-year survival rate of patients with advanced lung cancer is less than 20%, which makes lung cancer the leading cause of cancer-related deaths worldwide., Objective.—: To identify indicators that can predict the prognosis of lung cancer patients., Design.—: To determine the correlation between circulating tumor cells (CTCs), circulating tumor-derived endothelial cells (CTECs), and their subtypes and the prognosis of patients with NSCLC, 80 patients with lung cancer were recruited and 48 patients who met the enrollment criteria were selected in this study. Peripheral blood was collected from the enrolled patients before any treatment and analyzed by the subtraction enrichment and immunostaining-fluorescence in situ hybridization technique to determine the correlation between CTCs and CTECs and lung cancer disease progression and to identify prognostic indicators., Results.—: In all patients, the positive rate of CTCs was 100% and the positive rate of CTECs was 81.3%. The CTEC positivity rate was higher in late-stage patients than in early-stage patients (P = .03). Patients with advanced or lymph node metastases had a higher rate of small-size CTC positivity than those with early or no lymph node metastases. Large-size CTEC positivity was higher in patients with advanced NSCLC than in early-stage patients. Patients with ≥1 small-size CTC had shorter progression-free survival, and it was an independent prognostic factor., Conclusions.—: Small-size CTCs are a reliable prognostic indicator and a probable predictor of the severity of disease in NSCLC patients., Competing Interests: The authors have no relevant financial interest in the products or companies described in this article., (© 2024 College of American Pathologists.)

Stable isotopes are commonly utilized for the geographical origin verification of foods, including wheat. However, assessing processed products poses a greater challenge due to the alterations that take place during processing and which have not been fully elucidated yet. In the current study, the effects of the formulation (the mass ratios of gluten to starch), boiling process and their interaction on the stable hydrogen (δ 2 H) and oxygen (δ 18 O) isotopic ratios of wheat noodles were evaluated. The δ 2 H and δ 18 O of noodles with different formulations (the mass ratios of gluten to starch) as raw materials, in uncooked and cooked (boiled in water) noodles, were examined. The results indicated that the δ 2 H of the boiled noodles ranged from -80.1‱ to -46.8‱ and were significantly lower than those of the raw materials, which ranged from -73.0‱ to -39.2‱, and the uncooked noodles, which ranged from -73.3‱ to -39.6‱. Oppositely, 18 O was enriched in the boiled noodles, ranging from 27.7‱ to 31.3‱, compared with the uncooked noodles, ranging from 28.4‱ to 29.6‱. In addition, a significant interaction effect between the formulation and the boiling process was recorded for δ 18 O. This study shows that the hydrogen and oxygen stable isotopic compositions of noodles were significantly changed during the boiling process, and the isotopic fractionation varies with the different formulations.

Recently, one-stream trackers have achieved parallel feature extraction and relation modeling through the exploitation of Transformer-based architectures. This design greatly improves the performance of trackers. However, as one-stream trackers often overlook crucial tracking cues beyond the template, they prone to give unsatisfactory results against complex tracking scenarios. To tackle these challenges, we propose a multi-cue single-stream tracker, dubbed MCTrack here, which seamlessly integrates template information, historical trajectory, historical frame, and the search region for synchronized feature extraction and relation modeling. To achieve this, we employ two types of encoders to convert the template, historical frames, search region, and historical trajectory into tokens, which are then collectively fed into a Transformer architecture. To distill temporal and spatial cues, we introduce a novel adaptive update mechanism, which incorporates a thresholding component and a local multi-peak component to filter out less accurate and overly disturbed tracking cues. Empirically, MCTrack achieves leading performance on mainstream benchmark datasets, surpassing the most advanced SeqTrack by 2.0% in terms of the AO metric on GOT-10k. The code is available at https://github.com/wsumel/MCTrack.

Background: Evidence for the efficacy of a low dose of olanzapine (OLA) in combination with antidepressants has been limited and without positive trials in first-episode (FE) patients with schizophrenia (SCH). This study aimed to compare the efficacy in treating negative and depressive symptoms between those FE patients with SCH treated with a combination of OLA plus sertraline and those treated with OLA monotherapy., Methods: One hundred and ninety-six first-episode and drug naïve patients with SCH were randomized to receive low-dose OLA (7.5-10 mg/day) combined with sertraline (50-100 mg/day) (OS group) or normal-dose OLA monotherapy (12.5-20 mg/day) (NO group). Clinical symptoms were evaluated by the Positive and Negative Syndrome Scale (PANSS), and the depressive symptoms were evaluated by the Hamilton Depression Scale (HAMD). Psychosocial functioning was assessed by the Personal and Social Performance Scale (PSP)., Results: In the intent-to-treat efficacy analysis, the OS group had greater decreases in negative and depressive symptoms (pall < 0.01) and a greater increase in PSP total score compared with the NO group (p < 0.01). Moreover, reductions in HAMD total score and PANSS negative subscore and sex were associated with the improvements in psychosocial functioning from baseline to week 24, after controlling for baseline psychosocial function, age, and onset age., Conclusion: This study demonstrates that low-dose OLA in combination with sertraline had clinically meaningful improvements not only in the negative and depressive symptoms but also in psychosocial functioning in patients with FE-SCH, while not affecting positive symptoms., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)