Expression level and clinical significance of NBAT-1 in human cancers: a systematic review and meta-analysis.

PURPOSE: There is an aberrant expression of NBAT-1 in various human cancers, which was proven to limit the proliferation, invasion, and metastasis of tumour cells via multiple approaches. Most existing research focuses on sample size and discrete outcomes. Thus, a quantitative meta-analysis was performed to elucidate the prognostic value of lncRNA NBAT-1 expression in cancer patients. MATERIALS AND METHODS: Using Web of Science and PubMed, two researchers independently identified relevant studies to explore the association between the pathological features of human cancers and NBAT-1 expression levels. Then two scholars conducted literature screening according to exclusion criteria and admission criteria, and finally conducted statistical analysis through data extraction with StataSE 12.0. RESULTS: A total of 12 eligible studies with 1600 patients were included in the meta-analysis eventually. It is indicated that the low expression level of lncRNA NBAT-1 was closely related to distant metastasis [RR = 0.50, 95% CI (0.33, 0.76), and P = 0.00], deep tumour invasion [RR = 0.62, 95% CI (0.49,0.80), and P = 0.00], poor histological grade [RR = 0.68, 95% CI (0.57, 0.81), and P = 0.00], advanced TNM stage [RR = 0.66, 95% CI (0.55, 0.79), and P = 0.00], large tumour volume[RR = 0.72, 95% CI (0.55, 0.93), and P = 0.01], and lymph node metastasis [RR = 0.62, 95% CI (0.46, 0.84), and P = 0.00], suggesting that it may serve as biomarkers for patients with poor prognosis. CONCLUSION: Reduced expression of NBAT-1 can predict poor prognosis in several cancers, as found in the meta-analysis, demonstrating that NBAT-1 can serve as a promising prognostic factor of human cancers.

The experiences and perceptions of employers on cancer survivors returning to work: a meta-synthesis of qualitative studies.

PURPOSE: Employers play an important role in the return-to-work (RTW) of cancer survivors (CSs), and recently a substantial number of qualitative studies from the employers' perspective have emerged. This meta-synthesis aims to systematically review these qualitative studies regarding employers' experiences with CSs' RTW. METHODS: Five electronic databases were searched from inception to January 2024 to identify the studies. Three researchers conducted quality assessment of included. Subsequent, we performed thematic integration of the included studies with the NVivo 11 software. RESULTS: Thirteen qualitative studies were included, and 16 topics were finally extracted and summarized into seven categories to form three integrated themes: employers' perspective on facilitators and obstacles for CSs' RTW, employers' response including negative emotion and positive behavior, and employers' need resources from different aspects. CONCLUSION: CSs' RTW is influenced by many factors; the support employers need is also extensive and complex. Employers need more support beyond healthcare.

Exploration of decision aids to support advance care planning: A scoping review.

BACKGROUND: Advance care planning is a process through which people communicate their goals and preferences for future medical care. Due to the complexity of the decision-making process, decision aids can assist individuals in balancing potential benefits and risks of treatment options. OBJECTIVE: While decision aids have the potential to better promote advance care planning, their characteristics, content and application effectiveness are unclear and lack systematic review. Therefore, we aimed to explore these three aspects and establish a foundation for future research. DESIGN: Scoping review. METHODS: This scoping review adheres to the framework proposed by Arksey and O'Malley and the PRISMA-ScR list. Six English-language databases were systematically searched from the time of construction until 1 December 2023. Two researchers conducted the article screening and data extraction, and the extracted data was presented in written tables and narrative summaries. RESULTS: Of the 1479 titles and abstracts, 20 studies fulfilled the inclusion criteria. Types of decision aids were employed, mainly websites and videos. Decision aid's primary components center around 11 areas, such as furnishing information, exploring treatment and care preferences. The main manifestations were a significant increase in knowledge and improved recognition of patients' target value preferences. Among the aids, websites and videos for advance care planning have relatively high content acceptability and decision-making process satisfaction, but their feasibility has yet to be tested. CONCLUSIONS: Decision aids were varied, with content focused on describing key information and exploring treatment and care preferences. Regarding application effects, the aids successfully facilitated the advance care planning process and improved the quality of participants' decisions. Overall, decision aids are efficient in improving the decision-making process for implementing advance care planning in cancer and geriatric populations. In the future, personalised decision aids should be developed based on continuous optimization of tools' quality and promoted for clinical application. REPORTING METHOD: The paper has adhered to the EQUATOR guidelines and referenced the PRISMAg-ScR checklist. NO PATIENT OR PUBLIC CONTRIBUTION: This is a review without patient and public contribution. REGISTRATION: https://doi.org/10.17605/OSF.IO/YPHKF, Open Science DOI: 10.17605/OSF.IO/YPHKF.

Influencing factors analysis of adaptability of cancer patients to return-to-work.

OBJECTIVES: To clarify the adaptability of cancer patients to return to work and explore its influencing factors. DESIGN: A cross-sectional study. SETTINGS/PARTICIPANTS: From March to October 2021, 283 cancer patients in the follow-up period were recruited from the oncology departments of four secondary and above hospitals and cancer friendship associations in Nantong city using self-developed scale of adaptability to return to work for cancer patients by convenience sampling method. METHODS: The contents included general sociodemographic data, disease-related data, cancer patients' readability to work Scale, Medical Coping Style Questionnaire, Social Support Rating Scale, Family Closeness and Readability Scale, General self-efficacy Scale and Social impact Scale. Paper questionnaires were used for face-to-face data collection, and SPSS17.0 was used for statistical analysis. Univariable analyses and multiple linear regression analysis were conducted. RESULTS: The overall score of cancer patients' adaptability to return to work was (87.05±20.255), (22.54±4.234) for the dimension of focused rehabilitation, (32.02±9.013) for the dimension of reconstruction effectiveness, and (32.49±9.023) for the dimension of adjustment planning. Multiple linear regression analysis showed that the current return to full-time work (ß =0.226, P 0.05), the current return to non-full-time work (ß =0.184, P 0.05), yield response (ß = -0.132, P 0.05), and general self-efficacy (ß =0.226, P 0.05) could affect their return to work adaptation. CONCLUSION: The results of status quo and influencing factors showed that the adaptability of cancer patients to return to work was generally higher in this study. Cancer patients who had participated in work, had lower yield coping scores and stigma scores, and higher self-efficacy scores and family adjustment and intimacy scores had better adaptability to return to work again. ETHICAL APPROVAL: It has been approved by the Human Research Ethics Committee of the Affiliated Hospital of Nantong University (Project No.202065).

Automated quantitative lesion water uptake in acute stroke is a predictor of malignant cerebral edema.

OBJECTIVES: Net water uptake (NWU) has been shown to have a linear relationship with brain edema. Based on an automated-Alberta Stroke Program Early Computed Tomography Score (ASPECTS) technique, we automatically derived NWU from baseline multimodal computed tomography (CT), namely ASPECTS-NWU. We aimed to determine if ASPECTS-NWU can predict the development of malignant cerebral edema (MCE). METHODS: One hundred and forty-six patients with large-vessel occlusion were retrospectively enrolled. Quantitative NWU based on automated-ASPECTS was measured both on nonenhanced CT (NECT) and CT angiography (CTA), namely NECT-ASPECT-NWU and CTA-ASPECTS-NWU. The correlation between ASPECTS-NWU and cerebral edema (CED) grades was calculated using Spearman rank correlation. Univariate logistic regression was used to assess the effect of radiological and clinical features on MCE, and a multivariable model with significant factors from the univariate regression analysis was built. Receiver operating characteristic (ROC) was obtained and area under curve (AUC) was compared. RESULTS: CTA-ASPECTS-NWU had a moderate positive correlation with CED grades (r = 0.62; 95% confidence interval [CI], 0.51-0.71; p < 0.001). The CTA-ASPECTS-NWU performed better than the NECT-ASPECTS-NWU with AUC: 0.88 vs. 0.71 (p < 0.001). Multivariable logistic regression model integrating CTA-ASPECTS-NWU, collateral score, and age showed the CTA-ASPECTS-NWU was an independent predictor of MCE with an AUC of 0.94 (95% CI: 0.90-0.98; p < 0.001). CONCLUSIONS: This study demonstrates that ASPECTS-NWU is a quantitative predictor of MCE after large-vessel occlusion of the middle cerebral artery territory. The multivariable logistic regression model may enhance the identification of patients with MCE needing anti-edematous treatment. KEY POINTS: • The automated-ASPECTS technique can automatically detect the affected regions with early ischemic changes and NWU could be manually calculated. • The CTA-ASPECTS-NWU performs better than the NECT-ASPECTS-NWU on predicting the development of MCE. • The multivariable logistic regression model may enhance the identification of patients with MCE needing anti-edematous treatment.

Radiomics versus Conventional Assessment to Identify Symptomatic Participants at Carotid Computed Tomography Angiography.

INTRODUCTION: Carotid computed tomography angiography (CTA) is routinely used for evaluating the atherosclerotic process. Radiomics allows the extraction of imaging markers of lesion heterogeneity and spatial complexity. These quantitative features can be used as the input for machine learning (ML). Therefore, in this study, we aimed to evaluate the diagnostic performance of radiomics-based ML assessment of carotid CTA data to identify symptomatic patients with carotid artery atherosclerosis. METHODS: In this retrospective study, participants with carotid artery atherosclerosis who underwent carotid CTA and brain magnetic resonance imaging from May 2010 to December 2017 were studied. The participants were grouped into symptomatic and asymptomatic groups according to their recent symptoms (determination of ipsilateral ischemic stroke). Eight conventional plaque features and 2,107 radiomics parameters were extracted from carotid CTA images. A radiomics-based ML model was fitted on the training set, and the radiomics-based ML model and conventional assessment were compared using the area under the curve (AUC) to identify symptomatic participants. RESULTS: After excluding participants with other stroke sources, 120 patients with 148 carotid arteries were analyzed. Of these 148 carotid arteries, 34 (22.97%) were classified into the symptomatic group. Plaque ulceration (odds ratio [OR] = 0.257; 95% confidence interval [CI], 0.094-0.698) and plaque enhancement (OR = 0.305; 95% CI, 0.094-0.988) were associated with the symptomatic status. Twenty radiomics parameters were chosen to be inputs in the radiomics-based ML model. In the identification of symptomatic participants, the discriminatory value of the radiomics-based ML model was significantly higher than that of the conventional assessment (AUC = 0.858 vs. AUC = 0.706, p = 0.021). CONCLUSION: Radiomics-based ML analysis improves the discriminatory power of carotid CTA in the identification of recent ischemic symptoms in patients with carotid artery atherosclerosis.

ASPECTS-Based Attenuation Changes on CT Angiography as an Imaging Biomarker to Predict Hemorrhagic Transformation in Acute Ischemic Stroke.

INTRODUCTION: Imaging-based early warning indicators and feasible stratification of acute ischemic stroke (AIS) patients with hemorrhagic transformation (HT), especially high-risk patients with parenchymal hematoma (PH), are crucial in determining subsequent treatment strategies. This study combined automated ASPECTS software with noncontrast CT (NCCT) and CTA source image (CTASI) attenuation changes using Hounsfield unit (HU) values to predict HT and PH in patients with AIS. MATERIALS AND METHODS: We retrospectively enrolled 172 consecutive patients with anterior circulation large-vessel occlusion between 2016 and 2020. Univariate and multivariate logistic regression and receiver operating characteristic (ROC) analyses were used to investigate the relationship between NCCT and CTASI-ASPECTS-HU, as well as other clinical and radiological parameters of HT and PH. Univariate and multivariate logistic regression analyses were performed to explore risk factors for HT or PH, and an ROC curve was used to evaluate their diagnostic values. RESULTS: A multivariate analysis showed that CTASI-ASPECTS-HU and NIHSS score were independent predictors of HT (CTASI-ASPECTS-HU: odds ratio (OR), 2.22; 95% CI, 1.01-4.92; NIHSS: OR, 1.07; 95% CI, 1.02-1.13) and PH (CTASI-ASPECTS-HU: OR, 6.51; 95% CI, 2.29-18.50; NIHSS: OR, 1.07; 95% CI, 1.01-1.13). According to ROC analysis, CTASI-ASPECTS-HU >0.09 identified HT (area under the curve, 0.70; sensitivity, 70.15%; specificity, 61.90%), and CTASI-ASPECTS-HU >0.10 identified PH (area under the curve, 0.79; sensitivity, 76.19%; specificity, 73.33%). The area under the curve for predicting HT or PH increased when CTASI-ASPECTS-HU was combined with NIHSS score (HT: area under the curve, 0.74; sensitivity, 73.13%; specificity, 70.48%; PH: area under the curve, 0.81; sensitivity, 85.71%; specificity, 72.38%). CONCLUSION: CTASI-ASPECTS-HU is a reliable radiological predictor of HT and PH in patients with AIS. Its predictive efficacy is moderately improved when combined with NIHSS score.

Structural analysis and functional study of phosphofructokinase B (PfkB) from Mycobacterium marinum.

Phosphofructokinase B (PfkB) belongs to the ribokinase family, which uses the phosphorylated sugar as substrate, and catalyzes fructose-6-phosphate into fructose-1,6-diphosphate. However, the structural basis of Mycobacterium marinum PfkB is not clear. Here, we found that the PfkB protein was monomeric in solution, which was different from most enzymes in this family. The crystal structure of PfkB protein from M. marinum was solved at a resolution of 2.21 Å. The PfkB structure consists of two domains, a major three-layered α/ß/α sandwich-like domain characteristic of the ribokinase-like superfamily, and a second domain composed of four-stranded ß sheets. Structural comparison analysis suggested that residues G236, A237, G238, and D239 could be critical for ATP catalysis and substrate binding of PfkB. Our current work provides new insights into understanding the mechanism of the glycolysis in M. marinum.

Comparison of automated and manual DWI-ASPECTS in acute ischemic stroke: total and region-specific assessment.

OBJECTIVE: To compare the DWI-Alberta Stroke Program Early Computed Tomography Score calculated by a deep learning-based automatic software tool (eDWI-ASPECTS) with the neuroradiologists' evaluation for the acute stroke, with emphasis on its performance on 10 individual ASPECTS regions, and to determine the reasons for inconsistencies between eDWI-ASPECTS and neuroradiologists' evaluation. METHODS: This retrospective study included patients with middle cerebral artery stroke who underwent MRI from 2010 to 2019. All scans were evaluated by eDWI-ASPECTS and two independent neuroradiologists (with 15 and 5 years of experience in stroke study). Inter-rater agreement and agreement between manual vs. automated methods for total and each region were evaluated by calculating Kendall's tau-b, intraclass correlation coefficient (ICC), and kappa coefficient. RESULTS: In total, 309 patients met our study criteria. For total ASPECTS, eDWI-ASPECTS and manual raters had a strong positive correlation (Kendall's tau-b = 0.827 for junior raters vs. eDWI-ASPECTS; Kendall's tau-b = 0.870 for inter-raters; Kendall's tau-b = 0.848 for senior raters vs. eDWI-ASPECTS) and excellent agreement (ICC = 0.923 for junior raters and automated scores; ICC = 0.954 for inter-raters; ICC = 0.939 for senior raters and automated scores). Agreement was different for individual ASPECTS regions. All regions except for M5 region (κ = 0.216 for junior raters and automated scores), internal capsule (κ = 0.525 for junior raters and automated scores), and caudate (κ = 0.586 for senior raters and automated scores) showed good to excellent concordance. CONCLUSION: The eDWI-ASPECTS performed equally well as senior neuroradiologists' evaluation, although interference by uncertain scoring rules and midline shift resulted in poor to moderate consistency in the M5, internal capsule, and caudate nucleus regions. KEY POINTS: • The eDWI-ASPECTS based on deep learning perform equally well as senior neuroradiologists' evaluations. • Among the individual ASPECTS regions, the M5, internal capsule, and caudate regions mainly affected the overall consistency. • Uncertain scoring rules and midline shift are the main reasons for regional inconsistency.

Reliability and Reproducibility of the Diameters Method in Rapid Determination of Acute Infarct Volume in Magnetic Resonance Diffusion-Weighted Imaging.

BACKGROUND: In acute ischemic stroke, diffusion-weighted imaging (DWI) volume is an independent predictive factor of poor outcome and an exclusion criterion for thrombolytic treatment. A simplified diameters method (ABC/2, orthogonal diameter [OD], and the maximum diameter [MD]) was proposed to replace the conventional measuring method and overcome the tedious and time-consuming defects, but its accuracy remains to be determined. OBJECTIVE: The objective of this study is to clarify the reliability and reproducibility of the diameter-based estimations in the infarct volume in DWI (Vol-DWI) measured by automated software. METHODS: Data of 316 patients with acute ischemic stroke who underwent MRI within 72 h at Jinling Hospital were retrospectively reviewed. Subgroup analysis by the location (cortex, white matter and deep gray nuclei, and combined) and volume (<70 and >70 mL) of cerebral infarction was evaluated. Relationship and consistency between the diameters methods and Vol-DWI were determined using Spearman rank correlation, Wilcoxon signed-rank test, and Bland-Altman plots. The OD and MD thresholds indicating infarct size >15, 70, and 100 mL were determined by generating receiver-operating characteristic (ROC) curves. Interobserver reliability was established using intraclass correlation coefficient and Bland-Altman plot. RESULTS: There was a strong positive correlation between the diameters and the Vol-DWI (ABC/2: r = 0.992, OD: r = 0.984, MD: r = 0.970, p < 0.001). Infarct volumes measured using the ABC/2 formula were significantly lower than those measured with Vol-DWI (Wilcoxon signed-rank test, z = 6.476, p < 0.001). Bland-Altman plot showed that the agreement of the volume <70 mL group, and white matter and deep gray nuclei groups was better than that of the other subgroups. For infarct volumes >15, 70, and 100 mL, the cutoff value for the MD was identified at 5, 6.9, and 8.4 cm, and the OD was identified at 12.47, 26.4, and 36.4 cm2, respectively, with a sensitivity and specificity >90%. CONCLUSIONS: The MD method was the best for achieving a rapid and excellent interobserver reliability for estimating infarct volume. Both OD and MD methods can quickly screen patients suitable for recanalization treatment and predict poor prognosis through threshold evaluation.

[Anti-tumor activity of HIS-4,a biflavonoid from Resina draconis,on human hepatoma HepG2 and SK-HEP-1 cells].

The research of anti-hepatocellular carcinoma(HCC) drug has attracted more and more attention. Natural products are the important source of active compounds for cancer treatment. A biflavonoid HIS-4 was isolated from Resina draconis in our previous study. MTT assay, hoechst staining, and flow cytometry analysis were used to investigate the effects of HIS-4 on the proliferation and apoptosis of human hepatoma HepG2 and SK-HEP-1 cells. Moreover, the effects of HIS-4 on the migration and invasion ability of HepG2 and SK-HEP-1 cells were evaluated by wound healing assay and Transwell assay. In addition, MTT assay, flow cytometry analyses, Hoechst staining, wound healing assay, Transwell assay, and tube formation assay were used to explore the anti-angiogenic activity of HIS-4 in human umbilical vein endothelial cells(HUVECs). Mechanistically, the HIS-4 regulatory of signal pathways in H9 epG2 and SK-HEP-1 cells were analyzed by Western blot. This results showed that HIS-4 suppressed the proliferation of human hepatoma HepG2 and SK-HEP-1 cells. Moreover HIS-4 induced their apoptosis of HepG2 and SK-HEP-1 cells. HIS-4 inhibited the migration and invasion of HepG2 and SK-HEP-1 cells. Additionally, HIS-4 exhibited angiogenesis effects. Mechanistically, up-regulation of MAPK signaling pathway and down-regulation of mTOR signaling pathway may be responsible for anti-hepatoma activity of HIS-4. Therefore, HIS-4 may be a promising candidate drug for HCC treatment.

Thymic selection determines gammadelta T cell effector fate: antigen-naive cells make interleukin-17 and antigen-experienced cells make interferon gamma.

gammadelta T cells uniquely contribute to host immune defense, but how this is accomplished remains unclear. Here, we analyzed the nonclassical major histocompatibility complex class I T10 and T22-specific gammadelta T cells in mice and found that encountering antigen in the thymus was neither required nor inhibitory for their development. But when triggered through the T cell receptor, ligand-naive lymphoid-gammadelta T cells produced IL-17, whereas ligand-experienced cells made IFN-gamma. Immediately after immunization, a large fraction of IL-17(+) gammadelta T cells were found in the draining lymph nodes days before the appearance of antigen-specific IL-17(+) *beta T cells. Thus, thymic selection determines the effector fate of gammadelta T cells rather than constrains their antigen specificities. The swift IL-17 response mounted by antigen-naive gammadelta T cells suggests a critical role for these cells at the onset of an acute inflammatory response to novel antigens.

Anti-inflammatory ursane- and oleanane-type triterpenoids from Vitex negundo var. cannabifolia.

Six new polyoxygenated triterpenoids, cannabifolins A-F (1-6), and eight known triterpenoids, 7-14, were isolated from the leaves of Vitex negundo var. cannabifolia. The absolute configuration of cannabifolin A (1) was determined by single-crystal X-ray crystallographic analysis. Compounds 1 and 2 represent a class of rare natural pentacyclic triterpenoids bearing cis-fused C/D rings and are the first examples of 12,19-epoxy ursane- and oleanane-type triterpenoids. Compounds 3, 7, 8, and 14 exhibited inhibition of nitric oxide production in lipopolysaccharide-induced RAW 264.7 macrophages with IC50 values in the range 24.9-40.5 µM.

Anti-inflammatory labdane diterpenoids from Lagopsis supina.

Ten new labdane diterpenoids, lagopsins A-H (1-3, 5, 7-10) and 15-epi-lagopsins C and D (4, 6), together with five known labdane diterpenoids (11-15), were isolated from the whole plants of Lagopsis supina. The absolute configuration of lagopsin A (1) was determined by single-crystal X-ray crystallographic analysis. Compounds 7, 9, 13, and 15 exhibited moderate inhibition of nitric oxide production stimulated by lipopolysaccharide in BV-2 microglial cells with IC50 values in the range 14.9-34.9 µM.

[HPLC determination of two phenylpropanoid amides in solani melongenae radix from different cultivation regions].

A quantitative HPLC-DAD method was developed for simultaneous determination of N-trans-p-coumaroyloctopamine and N-trans-p-coumaroyltyramine in Solani Melongenae Radix from different cultivation regions in China The separation was performed on an Agilent Eclipse XDB C18 column (4.6 mm x 250 mm, 5 microm) at 30 degrees C with a gradient elution of methanol and 0.1% formic acid in water as mobile phase. The flow rate was set at 1.0 mL x min(-1) and the detection wavelength was 300 nm. The calibration curves of N-trans-p-coumaroyloctopamine and N-trans-p-coumaroyltyramine were linear over the ranges of 2.84-68.16, 3.10-74.40 mg x L(-1), and the average recoveries (n = 9) were 99.30% and 102.8%, respectively. The developed method was successfully applied for the analysis of sixteen samples from different cultivation regions in China, which indicated that the method is simple, rapid, accurate, and reliable for quality evaluation of Solani Melongenae Radix.

Experiences of cancer survivors returning to work decision-making: a meta-synthesis of qualitative studies.

PURPOSE: Return to work for cancer survivors (CSs) may be challenging, and there is a research gap in integrating the relevant experiences of the return-to-work decision-making process for CSs. Our aim was to synthesize existing qualitative research that integrates the dynamic experiences of CSs in the return-to-work decision-making process and highlights the factors influencing the return-to-work decisions of CSs. METHODS: We retrieved qualitative studies on a relevant theme published in the PubMed, EBSCO, Scopus, Web of Science, Cochrane Library, and CINAHL databases since construction to December 2023. Literature screening, quality evaluation, and data analysis followed the PRISMA, Joanna Briggs Institute Critical Appraisal Tool (2016), and thematic analysis methods to ensure study reliability. The study was registered on PROSPERO (registration number: CRD42023429623). RESULTS: Ten articles were included, and six key outcomes were identified based on Social Cognitive Career Theory (SCCT) integration: points of concern for individuals, sense of self-efficacy, outcome expectations, work perception and belonging, medical advice and guidance, and effects of the external reactions. CONCLUSION: The decision-making process for CSs to return to work is affected by various personal and external factors. Effectively addressing personal appearance, financial, and emotional issues can enhance self-efficacy of CSs. Improving external perceptions of cancer patients and enhancing social support in the workplace and medical settings can help CSs make informed decisions regarding their return to work. IMPLICATIONS FOR CANCER SURVIVORS: The decision of CSs to return to work is a result of integrating personal, job, and medical care considerations. These findings contribute to the development of future interventions for CSs' return-to-work decisions that target an array of potential factors.

[Comparison of four early warning scores in predicting the prognosis of critically ill patients in secondary hospitals].

OBJECTIVE: To explore the predictive value of acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), quick sequential organ failure assessment (qSOFA) and modified early warning score (MEWS) in evaluating the prognosis of patients in intensive care unit (ICU) of secondary hospitals, and to provide guidance for clinical application. METHODS: The clinical data of adult critical patients admitted to the ICU of Wanzhou District First People's Hospital from October 2022 to April 2023 were retrospectively analyzed. According to the clinical outcome of ICU, the patients were divided into improvement group and death group. The general information, blood routine, heart, liver and kidney function indicators, coagulation indicators, blood gas analysis, APACHE II score, SOFA score, qSOFA score, MEWS score at the time of admission to the ICU, the number of cases of invasive mechanical ventilation (IMV) and continuous blood purification (CBP) were compared between the two groups. Univariate analysis was performed, and multivariate Logistic regression analysis was used to analyze the related factors of death. Receiver operator characteristic curve (ROC curve) was used to analyze the predictive value of the four scores in ICU patients. RESULTS: A total of 126 patients were included, of which 45 patients died in the ICU and 81 patients improved and transferred out. Univariate analysis of death-related critically ill patients showed that procalcitonin (PCT), serum creatinine (SCr), blood urea nitrogen (BUN), albumin (ALB), prothrombin time (PT), activated partial prothrombin time (APTT), D-dimer, pH value, HCO3-, blood lactic acid (Lac), number of patients treated with IMV and CBP, APACHE II score, SOFA score, qSOFA score and MEWS score were significantly different between the two groups (all P < 0.05). Multivariate Logistic regression analysis showed that the APACHE II score [odds ratio (OR) = 1.115, 95% confidence interval (95%CI) was 1.025-1.213, P = 0.011], SOFA score (OR = 1.204, 95%CI was 1.037-1.398, P = 0.015), MEWS score (OR = 1.464, 95%CI was 1.102-1.946, P = 0.009), and APTT (OR = 1.081, 95%CI was 1.015-1.152, P = 0.016) were independent risk factors affecting the mortality of critically ill patients in the ICU. ROC curve analysis showed that APACHE II, SOFA, qSOFA, and MEWS scores could predict the prognosis of critically ill ICU patients, among which SOFA score had the strongest predictive effect, and the area under the curve (AUC) was 0.808. There was a statistically significant difference in the time required for the four scores (F = 117.333, P < 0.001), among which the MEWS scoring required the shortest time [(1.03±0.39) minutes], and the APACHE II scoring required the longest time [(2.81±1.04) minutes]. CONCLUSIONS: APACHE II, SOFA, qSOFA, and MEWS scores can be used to assess the severity of critically ill patients and predict in-hospital mortality. The SOFA score is superior to other scores in predicting severity. The MEWS is preferred because its assessment time is shortest. Early warning score can help secondary hospitals to detect potentially critical patients early and provide help for clinical rapid urgent emergency decision-making.

Impact of fear of recurrence in patients with cancer on caregivers' psychological health: A meta-analysis.

Objective: This study aims to quantitatively investigate the relationship between fear of cancer recurrence in patients with cancer and their caregivers' psychological health, examining the extent of the impact of this fear on caregivers. Methods: We conducted a comprehensive search in PubMed, EMBASE, Cochrane Library, Web of Science, CINAHL, and PsycINFO databases from inception until May 2023 for relevant English publications. Pearson correlation coefficients (r) were utilized as effect sizes to assess the overall relationship between fear of recurrence and psychological outcomes among caregivers of patients with cancer. Results: A total of 19 eligible studies were included in the analysis. The findings revealed a moderate positive correlation between fear of recurrence in patients with cancer and caregivers' fear of recurrence and depression. A relatively weaker correlation was observed between patients' fear of recurrence and caregivers' anxiety. Due to considerable heterogeneity (I2 â€‹= â€‹91.99%, Q â€‹= â€‹212.23), the primary outcome of fear of recurrence in patients with cancer influencing caregivers' fear of recurrence was examined through subgroup analyses. Conclusions: Our meta-analysis established a significant positive correlation between fear of recurrence in patients with cancer and negative psychological consequences among caregivers, including recurrence fear, depression, and anxiety. Future research should explore the evolution of adverse psychological outcomes in both patients with cancer and their caregivers over time and delve into the bivariate psychological impact within the patient-caregiver dyads. Systematic review registration: PROSPERO, CRD42022383866.