Association between probable sarcopenia and dementia risk: a prospective cohort study with mediation analysis.

The role of alcohol consumption as a mediator in the risk between sarcopenia and dementia remains inadequately studied. There is currently limited research on whether the association between sarcopenia and the risk of Alzheimer's disease (AD) is influenced by genetic susceptibility. Our study incorporated a total of 483,637 baseline non-dementia participants, who were classified into groups of individuals with no sarcopenia and those with probable sarcopenia based on the definition. We employed Cox proportional hazards models to evaluate the association between probable sarcopenia and the risk of all cause dementia (ACD), AD, and vascular dementia (VD). We conducted mediation analysis to explore the role of alcohol consumption in the association between probable sarcopenia and the risk of ACD, AD, and VD. During the median follow-up period of 13.6 years, we documented 9000 new cases of ACD (including 4061 AD and 2025 VD). Fully adjusted multivariate model revealed a significant correlation between probable sarcopenia and elevated risk for ACD (HR = 1.54, 95% CI: 1.46-1.62, p < 0.001), AD (HR = 1.32, 95% CI: 1.21-1.43, p < 0.001), and VD (HR = 1.69, 95% CI: 1.52-1.89, p < 0.001). Mediation analysis elucidates that alcohol consumption explained 12.8%, 15.2%, and 11.1% of the associations of probable sarcopenia with the risk of ACD, AD, and VD, respectively. An interactive relationship prevails between probable sarcopenia and genetic factors (p for interaction <0.001), and regardless of the degree of genetic risk, probable sarcopenia correlates with an elevated AD risk. Our study reveals a significant association between probable sarcopenia and an increased risk of dementia, with alcohol consumption playing a mediating role in this association. There is an interaction between probable sarcopenia and genetic susceptibility related to the risk of AD.

A convenient single-cell newly synthesized transcriptome assay reveals gene expression dynamics during early-stage T-cell activation.

Sequencing newly synthesized transcriptome alongside regular transcriptome in single cells enables the study of gene expression temporal dynamics during rapid chromatin and gene regulation processes. However, existing assays to profile single-cell newly synthesized transcriptome require in-house technical expertise to achieve high cellular throughput, limiting their widespread application. Here, we developed NOTE-seq, a method that simultaneously profiles regular and newly synthesized transcriptomes in single cells. NOTE-seq integrates 4-thiouridine labeling of newly synthesized RNA, thiol-alkylation-based chemical conversion, and a streamlined workflow on the 10X Genomics platform, offering high cellular throughput that is accessible and convenient for regular biology laboratories without specialized single-cell expertise. Using NOTE-seq, we characterized the temporal dynamics of gene expression during early-stage T-cell activation in Jurkat and naïve T cells, identified transcription factors and regulons, and discovered Fli-1 as a master transcription factor for gene regulation upon T-cell stimulation. Interestingly, chemotherapeutic topoisomerase inhibitor affects Fli-1 level in T cells, indicating potential complications for the immune system.

Assessing the Risk of Delirium and Death in Sepsis Using the Braden Score: A Retrospective Study.

AIMS AND OBJECTIVES: To provide a viable tool for the early clinical identification of high-risk populations in patients with sepsis. BACKGROUND: Sepsis-associated delirium (SAD) has the potential to significantly impact the short- and long-term prognosis of patients. However, accurately predicting and effectively managing SAD remains a significant challenge. METHODS: This study employed a retrospective analysis of adult sepsis patients admitted to the intensive care unit (ICU) for the first time. Patients were divided into two groups based on their initial Braden score upon admission to the ICU: a high-risk group (≤ 15 points) and a low-risk group (> 15 points). The relationship between Braden score and delirium was assessed using logistic regression and restricted cubic splines, while restricted mean survival time was employed to analyse the relationship between Braden scores and patients' 90- and 180-day mortality. RESULTS: Of the 28,312 patients included in the study, those in the high-risk group exhibited a significantly elevated risk of delirium (44.8% vs. 29.7%) and higher 90-day (28.7% vs. 19.4%) and 180-day (33.2% vs. 24.1%) mortality rates (all p < 0.001). After adjusting for confounding variables, logistic regression demonstrated that the risk of delirium was 1.54 times higher in the high-risk group (95% CI = 1.45-1.64, p < 0.001). Following propensity score matching, the difference in survival was statistically significant at both time points, with the high-risk group having a reduced survival rate of 7.50 days (95% CI = -8.24, -6.75; p < 0.001) and 15.74 days (95% CI = -17.40, -14.08; p < 0.001) at 90 days and 180 days, respectively. CONCLUSIONS: The Braden score is a simple and effective tool for the early identification of patients at increased risk of adverse outcomes in sepsis. DESIGN: Retrospective study. RELEVANCE TO CLINICAL PRACTICE: The Braden score can be employed by clinical nurses for the purpose of early identification of poor prognostic risk in patients with sepsis. REPORTING METHOD: This study was conducted according to the Strengthening Research in Observational Studies in Epidemiology (STROBE) guidelines. PATIENT OR PUBLIC CONTRIBUTION: Patients were involved in the sample of the study.

Assessment of prognostic factors in patients with primary ocular adnexal lymphoma when considering competing risk elements.

BACKGROUND: Accurate prognostic factors for primary ocular adnexal lymphoma (POAL) are scarce. Survival models and prognostic factors derived without considering competing risk factors suffer from major statistical errors. This study aimed to accurately assess prognostic factors in POAL patients using competing risk models, and compare this to the traditional COX proportional hazards model. METHODS: This retrospective study utilised data from the Surveillance, Epidemiology, and End Results (SEER) program 2010-2015 and included patients with B-cell POAL. The cumulative incidence function and Gray's test for cause-specific survival were calculated as univariate analysis. The competing risk models were a Fine-Gray subdistribution hazard model and a cause-specific model, and a traditional COX model was employed as a multivariate analysis. RESULTS: This study enrolled 846 eligible patients with POAL: 60 patients (7.09%) died from POAL and 123 patients (14.54%) died from other causes. Multivariate competing risk models indicated that age, laterality, histology subtype, the 7th edition of American Joint Committee on Cancer stage T, and radiotherapy were independent predictors for cause-specific survival of patients with POAL. There was high consistency between the two competing risk models. The COX model made several misestimations on the statistical significance and hazard ratios of prognostic factors. CONCLUSIONS: This study established competing risk models as a method to assess POAL prognostic factors, which was more accurate than traditional methods that do not consider competing risk elements.

High cardiovascular mortality risk among older merkel cell carcinoma patients.

OBJECTIVE: Previous research has primarily focused on the incidence and mortality rates of Merkel cell carcinoma (MCC), neglecting the examination of cardiovascular mortality (CVM) risk among survivors, particularly older patients. This study aims to assess the risk of CVM in older individuals diagnosed with MCC. METHODS: Data pertaining to older MCC patients were obtained from the Surveillance, Epidemiology, and End Results database (SEER). CVM risk was measured using standardized mortality ratio (SMR) and cumulative mortality. Multivariate Fine-Gray's competing risk model was utilized to evaluate the risk factors contributing to CVM. RESULTS: Among the study population of 2,899 MCC patients, 465 (16.0%) experienced CVM during the follow-up period. With the prolongation of the follow-up duration, the cumulative mortality rate for CVM reached 27.36%, indicating that cardiovascular disease (CVD) became the second most common cause of death. MCC patients exhibited a higher CVM risk compared to the general population (SMR: 1.69; 95% CI: 1.54-1.86, p < 0.05). Notably, the SMR for other diseases of arteries, arterioles, and capillaries displayed the most significant elevation (SMR: 2.69; 95% CI: 1.16-5.29, p < 0.05). Furthermore, age at diagnosis and disease stage were identified as primary risk factors for CVM, whereas undergoing chemotherapy or radiation demonstrated a protective effect. CONCLUSION: This study emphasizes the significance of CVM as a competing cause of death in older individuals with MCC. MCC patients face a heightened risk of CVM compared to the general population. It is crucial to prioritize cardiovascular health starting from the time of diagnosis and implement personalized CVD monitoring and supportive interventions for MCC patients at high risk. These measures are essential for enhancing survival outcomes.

Elderly patients with dysphagia in the intensive care unit: Association between malnutrition and delirium.

BACKGROUND: Dysphagia, as a geriatric syndrome, is prevalent in the intensive care unit (ICU). Malnutrition resulting from swallowing disorders is likely to correlate with adverse ICU outcomes, including delirium, thereby escalating the costs of care and hospitalization. However, malnutrition has not received the attention it deserves in ICU clinical nursing practice. As two preventable and correctable conditions-malnutrition and delirium-the advantages of early identification and intervention are substantial. Exploring the relationship between malnutrition and delirium, starting from the high-risk group of elderly patients with swallowing difficulties in the ICU, will aid us in managing patients promptly and effectively. AIM: To investigate the relationship between malnutrition and the incidence of delirium in elderly patients with dysphagia in the ICU. SUDY DESIGN: This is a retrospective study. Data for this study were obtained from the Medical Information Mart for Intensive Care-IV. All 2273 patients included were dysphagia older patients over 65 years of age admitted to the ICU, and logistic regression was used to explore the relationship between malnutrition and delirium. We also used propensity score matching (PSM) for sensitivity analysis. RESULTS: Among the included patients with swallowing difficulties, 13% individuals (297/2273) exhibited malnutrition, with a delirium incidence rate of 55.9% (166/297). In the non-malnutrition group (1976/2273), the delirium incidence rate is 35.6% (704/1976). After adjusting for 31 covariates, multifactorial logistic regression showed that malnutrition was significantly positively associated with the incidence of delirium in elderly dysphagic patients in the ICU (adjusted odds ratio (OR) = 1.96, 95% confidence interval (CI) = 1.47-2.62). The results remained stable after analysis by PSM. CONCLUSION: Malnutrition was significantly positively associated with the incidence of delirium in elderly dysphagic patients in the ICU. Malnutrition should be given adequate attention in the ICU. RELEVANCE TO CLINICAL PRACTICE: ICU nurses should pay particular attention to malnutrition, especially among the high-prevalence group of patients with dysphagia. Early identification and nutritional intervention for these patients may help reduce the costs of care and health care expenditures.

Bridging MRI Cross-Modality Synthesis and Multi-Contrast Super-Resolution by Fine-Grained Difference Learning.

In multi-modal magnetic resonance imaging (MRI), the tasks of imputing or reconstructing the target modality share a common obstacle: the accurate modeling of fine-grained inter-modal differences, which has been sparingly addressed in current literature. These differences stem from two sources: 1) spatial misalignment remaining after coarse registration and 2) structural distinction arising from modality-specific signal manifestations. This paper integrates the previously separate research trajectories of cross-modality synthesis (CMS) and multi-contrast super-resolution (MCSR) to address this pervasive challenge within a unified framework. Connected through generalized down-sampling ratios, this unification not only emphasizes their common goal in reducing structural differences, but also identifies the key task distinguishing MCSR from CMS: modeling the structural distinctions using the limited information from the misaligned target input. Specifically, we propose a composite network architecture with several key components: a label correction module to align the coordinates of multi-modal training pairs, a CMS module serving as the base model, an SR branch to handle target inputs, and a difference projection discriminator for structural distinction-centered adversarial training. When training the SR branch as the generator, the adversarial learning is enhanced with distinction-aware incremental modulation to ensure better-controlled generation. Moreover, the SR branch integrates deformable convolutions to address cross-modal spatial misalignment at the feature level. Experiments conducted on three public datasets demonstrate that our approach effectively balances structural accuracy and realism, exhibiting overall superiority in comprehensive evaluations for both tasks over current state-of-the-art approaches. The code is available at https://github.com/papshare/FGDL.

Delirium Mediated the Association Between a History of Falls and Short-Term Mortality Risk in Critically Ill Ischemic Stroke Patients.

Patients with ischemic stroke have an increased propensity to fall, resulting in significant physical and psychological distress. This study examined the association between falls in the 3 months prior to intensive care unit (ICU) admission and mortality within 28 days among 2950 adult ICU patients diagnosed with ischemic stroke from 2008 to 2019, focusing on the potential mediating role of delirium. The primary outcomes were short-term mortality (28, 60, and 90 days) and the risk of delirium. Each patient was followed for at least 1 year. Delirium was primarily assessed using the Confusion Assessment Method for the ICU and by reviewing nursing notes. Group differences between patients with and without a history of falls were compared using the Wilcoxon rank-sum test or the chi-squared test. Cox proportional risk or logistic regression models were used to explore the association between fall history and outcomes, and causal mediation analysis was performed. Results showed that patients with a recent fall history had a significantly increased risk of 28-day (hazard ratio [HR]: 1.62, 95% confidence interval [CI]: 1.35-1.94), 60-day (HR: 1.67, 95% CI: 1.42-1.98), and 90-day mortality (HR: 1.66, 95% CI: 1.41-1.95), as well as an increased risk of delirium (odds ratio: 2.00, 95% CI: 1.66-2.42). Delirium significantly mediated the association between fall history and 28-day mortality (total effect: HR: 1.77, 95% CI: 1.45-2.16; natural indirect effect: HR: 1.12, 95% CI: 1.05-1.21; proportion mediated: 24.6%). These findings suggest that ischemic stroke patients with a recent fall have an increased risk of short-term mortality, partly mediated by delirium. Strategies aimed at preventing delirium may potentially improve prognosis in this patient population.

Secular trends in incidence and mortality of non-Hodgkin's lymphoma in China, 1990-2019, and predictions to 2030: Outlook for the future burden of disease.

BACKGROUND: The aim of this study was to analyze the trend of non-Hodgkin's lymphoma incidence and mortality in China from 1990 to 2019, along with assessing the effects of age, period, and cohort, as well as to predict future trends. MATERIAL AND METHODS: Using data from the Global Burden of Disease Study 2019 we calculated the estimated annual percentage changes in the incidence and mortality of non-Hodgkin's lymphoma. Age-period-cohort analysis was used to assess the independent effects of these elements. Incidence and mortality until 2030 were predicted using a Bayesian age-period-cohort approach. RESULTS: During 1990-2019, there was a significant increase in the age-standardized incidence and mortality rate in non-Hodgkin's lymphoma. Strong effects of birth cohort and period on non-Hodgkin's lymphoma incidence and mortality were observed. In terms of prediction, future non-Hodgkin's lymphoma incidence and mortality in China will continue to increase, while the mortality rate will decrease; for women, both the rates are projected to rise, but they will remain lower than men. CONCLUSIONS: Currently, the non-Hodgkin's lymphoma burden is high in China, and it is expected to continue increasing in the future. Policymakers need to prioritize addressing the factors contributing to sex differences in disease burden, including variations in environmental exposures and lifestyles among men and women.

Braden score predicts 30-day mortality risk in patients with ischaemic stroke in the ICU: A retrospective analysis based on the MIMIC-IV database.

BACKGROUND: Ischaemic stroke remains a significant global health challenge, associated with high mortality rates. While the Braden Scale is traditionally employed to assess pressure ulcer risk, its potential to predict mortality among the intensive care unit (ICU) patients with ischaemic stroke has not been thoroughly investigated. AIM/S: This study evaluates the predictive value of the Braden Scale for 30-day mortality among patients with ischaemic stroke admitted to ICU. STUDY DESIGN: We conducted a retrospective analysis of 4710 adult patients with ischaemic stroke from the Medical Information Mart for Intensive Care (MIMIC)-IV database. The association between the Braden Scale scores and 30-day mortality was assessed using receiver operating characteristic (ROC) curve analysis, Cox regression models and Kaplan-Meier survival estimates. RESULTS: Patients with Braden Scale scores ≤ 15.5 showed significantly higher 30-day mortality rates (p-value < 0.001; hazard ratio (HR): 2.08, 95% confidence interval (CI): 1.71-2.53). The area under the ROC curve (AUC) was 0.71, demonstrating good predictive performance. Multivariate analysis confirmed the Braden Scale as an independent predictor of mortality, after adjusting for age, gender and comorbidities. CONCLUSIONS: The Braden Scale effectively identifies high-risk ischaemic stroke patients in ICU settings, endorsing its integration into routine assessments to facilitate early intervention strategies. RELEVANCE TO CLINICAL PRACTICE: Integrating the Braden Scale into routine ICU evaluations can enhance mortality risk stratification and improve patient care tailoring.

Trends of diabetes in Beijing, China.

BACKGROUND: The global rise in diabetes prevalence is a pressing concern. Despite initiatives like "The Healthy Beijing Action 2020-2030" advocating for increased awareness, treatment, and control, the specific situation in Beijing remains unexplored. This study aimed to analyze the trends in diabetes prevalence, awareness, treatment, and control among Beijing adults. METHODS: Through a stratified multistage probability cluster sampling method, a series of representative cross-sectional surveys were conducted in Beijing from 2005 to 2022, targeting adults aged 18-79 years. A face-to-face questionnaire, along with body measurements and laboratory tests, were administered to 111,943 participants. Data from all survey were age- and/or gender-standardized based on the 2020 Beijing census population. Annual percentage rate change (APC) or average annual percentage rate change (AAPC) was calculated to determine prevalence trends over time. Complex sampling logistic regression models were employed to explore the relationship between various characteristics and diabetes. RESULTS: From 2005 to 2022, the total prevalence of diabetes among Beijing adults aged 18-79 years increased from 9.6% (95% CI: 8.8-10.4%) to 13.9% (95% CI: 13.1-14.7%), with an APC/AAPC of 2.1% (95% CI: 1.1-3.2%, P <0.05). Significant increases were observed among adults aged 18-39 years and rural residents. Undiagnosed diabetes rose from 3.5% (95% CI: 3.2-4.0%) to 7.2% (95% CI: 6.6-7.9%) with an APC/AAPC of 4.1% (95% CI: 0.5-7.3%, P <0.05). However, diabetes awareness and treatment rates showed annual declines of 1.4% (95% CI: -3.0% to -0.2%, P <0.05) and 1.3% (95% CI: -2.6% to -0.2%, P <0.05), respectively. The diabetes control rate decreased from 21.5% to 19.1%, although not statistically significant (APC/AAPC = -1.5%, 95% CI: -5.6% to 1.9%). Overweight and obesity were identified as risk factors for diabetes, with ORs of 1.65 (95% CI: 1.38-1.98) and 2.48 (95% CI: 2.07-2.99), respectively. CONCLUSIONS: The prevalence of diabetes in Beijing has significantly increased between 2005 and 2022, particularly among young adults and rural residents. Meanwhile, there has been a concerning decrease in diabetes awareness and treatment rates, while control rates have remained stagnant. Regular blood glucose testing, especially among adults aged 18-59 years, should be warranted. Furthermore, being male, elderly, overweight, or obese was associated with higher diabetes risk, suggesting the needs for targeted management strategies.

Association between socioeconomic status and risk of chronic obstructive pulmonary disease in China: a prospective cohort study.

OBJECTIVE: Socioeconomic status (SES) has been proven to be associated with chronic obstructive pulmonary disease (COPD) in Western populations, but the evidence is very limited in China. This study aimed to investigate the association between SES and the risk of COPD incident. METHODS: This study was based on the China Kadoorie Biobank (CKB) project in Wuzhong District, Suzhou. A total of 45,484 adults aged 30-79 were included in the analysis during 2004-2008. We used Cox proportional hazard models to investigate the association between SES and the risk of COPD. Household income, education, private property and consumption potential was used to measure SES. Incident COPD cases were ascertained using hospitalization records, death certificates, and active follow-up. RESULTS: A total of 524 COPD cases were identified during a median follow-up of 11.2 years. Household income was inversely associated with the risk of COPD (Ptrend<0.005). The adjusted hazard ratios (95% confidence intervals) for incident COPD were 0.88 (0.69-1.14), 0.77 (0.60-0.99), and 0.42 (0.31-0.57) for participants with annual household income of 10,000 ~ 19,999 yuan, 20,000 ~ 34,999 yuan and ≥ 35,000 yuan respectively, in comparison to participants with an annual household income < 10,000 yuan. Furthermore, we found that education level, refrigerator use, private toilet, private phone, and motor vehicle were adversely associated with COPD risk, while ownership of newly renovated flats was positively correlated with COPD incident. CONCLUSIONS: This prospective study suggests that SES is associated with the risk of COPD in Chinese adults. Population-based COPD prevention strategies tailored for people with different SES could help reduce the burden of COPD in Chinese.

CMRxRecon: A publicly available k-space dataset and benchmark to advance deep learning for cardiac MRI.

Cardiac magnetic resonance imaging (CMR) has emerged as a valuable diagnostic tool for cardiac diseases. However, a significant drawback of CMR is its slow imaging speed, resulting in low patient throughput and compromised clinical diagnostic quality. The limited temporal resolution also causes patient discomfort and introduces artifacts in the images, further diminishing their overall quality and diagnostic value. There has been growing interest in deep learning-based CMR imaging algorithms that can reconstruct high-quality images from highly under-sampled k-space data. However, the development of deep learning methods requires large training datasets, which have so far not been made publicly available for CMR. To address this gap, we released a dataset that includes multi-contrast, multi-view, multi-slice and multi-coil CMR imaging data from 300 subjects. Imaging studies include cardiac cine and mapping sequences. The 'CMRxRecon' dataset contains raw k-space data and auto-calibration lines. Our aim is to facilitate the advancement of state-of-the-art CMR image reconstruction by introducing standardized evaluation criteria and making the dataset freely accessible to the research community.

Association between modified frailty index and postoperative delirium in patients after cardiac surgery: A cohort study of 2080 older adults.

AIM: To evaluate the association between frailty and postoperative delirium (POD) in elderly cardiac surgery patients. METHODS: A retrospective study was conducted of older patients admitted to the intensive care unit after cardiac surgery at a tertiary academic medical center in Boston from 2008 to 2019. Frailty was measured using the Modified Frailty Index (MFI), which categorized patients into frail (MFI ≥3) and non-frail (MFI = 0-2) groups. Delirium was identified using the confusion assessment method for the intensive care unit and nursing notes. Logistic regression models were used to examine the association between frailty and POD, and odds ratios (OR) with 95% confidence intervals (CI) were calculated. RESULTS: Of the 2080 patients included (median age approximately 74 years, 30.9% female), 614 were frail and 1466 were non-frail. The incidence of delirium was significantly higher in the frail group (29.2% vs. 16.4%, p < 0.05). After adjustment for age, sex, race, marital status, Acute Physiology Score III (APSIII), sequential organ failure assessment (SOFA), albumin, creatinine, hemoglobin, white blood cell count, type of surgery, alcohol use, smoking, cerebrovascular disease, use of benzodiazepines, and mechanical ventilation, multivariate logistic regression indicated a significantly increased risk of delirium in frail patients (adjusted OR: 1.61, 95% CI: 1.23-2.10, p < 0.001, E-value: 1.85). CONCLUSIONS: Frailty is an independent risk factor for POD in older patients after cardiac surgery. Further research should focus on frailty assessment and tailored interventions to improve outcomes.

Age-specific differences in association of glycosylated hemoglobin levels with the prevalence of cardiovascular diseases among nondiabetics: the National Health and Nutrition Examination Survey 2005-2018.

BACKGROUND: Previous research has supported the presence of an association between high glycated hemoglobin (HbA1c) levels and cardiovascular disease (CVD). The objective of the present study was to determine whether increased HbA1c levels are associated with high CVD prevalence among nondiabetics. Furthermore, we aimed to explore the possible interaction of HbA1c levels and age in regard to CVD. METHODS: This cross-sectional study analyzed data of 28,534 adult participants in the National Health and Nutrition Examination Survey 2005-2018. The association between HbA1c and CVD was assessed using univariate and multivariate logistic regression models. Propensity score matching was used to reduce selection bias. Subgroup analysis and restricted cubic spline (RCS) were used to further characterize the association between HbA1c levels and CVD. We modeled additive interactions to further assess the relationship between HbA1c levels and age. RESULTS: In the multivariate logistic regression model, a positive association was found between CVD and increased HbA1c levels (highest quartile [Q4] vs. lowest quartile [Q1]: odds ratio [OR] = 1.277, 95% confidence interval [CI] = 1.111-1.469, P = 0.001). In the stratified analyses, the adjusted association between HbA1c and CVD was significant for those younger than 55 years (Q4 vs. Q1: OR = 1.437, 95% CI = 1.099-1.880, P = 0.008). RCS did not reveal a nonlinear relationship between HbA1c levels and CVD among nondiabetics (P for nonlinearity = 0.609). Additionally, a high HbA1c level was favorably connected with old age on CVD, with a synergistic impact. CONCLUSIONS: Increased HbA1c levels were associated with high CVD prevalence among nondiabetics. However, we still need to carefully explain the effect of age on the relationship between HbA1c and CVD in nondiabetic population. Given the correlations of HbA1c with CVDs and CV events, HbA1c might be a useful indicator for predicting CVDs and CV events in the nondiabetic population.