Objective: To evaluate the practical effectiveness of confidential unit exclusion (CUE) in ensuring blood safety in Zhengzhou, analyze its application characteristics and existing problems, and provide a basis for optimizing blood safety management strategies. Methods: A retrospective analysis was conducted on CUE data handled by Henan Red Cross Blood Center from January 2019 to December 2024. Parameters such as the number of cases, demographic characteristics, reasons for exclusion, and time of report were statistically analyzed and compared with those of non-CUE. Results: From 2019 to 2024, the CUE reporting rate in Zhengzhou was 0.002 6% (40/1 547 666). CUE donors were predominantly male (65.00%, 26/40), aged 18-34 years (47.50%, 19/40), had college degree orabove (50.00%, 20/40), and were employees of enterprises or public institutions (32.50%, 13/40). Among the 40 CUE blood units, only one was reactive for anti-TP, while all others were qualified. The main reasons for CUE were recent vaccination (32.50%, 13/40), medical conditions unsuitable for donation (27.50%, 11/40), and high-risk sexual behavior (17.50%, 7/40). A total of 70.00% of reports occurred within 24 hours after donation, during which none of the corresponding blood units had been released; all units reported after more than 7 days had already been issued for clinical use, with no adverse transfusion reactions reported upon follow-up. Conclusion: The confidential unit exclusion program has played an active role in establishing a supplementary information feedback channel for blood donors. The procedure can be optimized by strengthening interactive communication and confirmation before donation, improving the accuracy of donors' self-assessment, and expanding convenient and rapid information-based reporting channels.

Objective: To summarize the laboratory findings of a case of hemolytic disease of the fetus and newborn (HDFN) caused by Rh system anti-c antibodies and to review the literature, so as to explore the characteristics of anti-c HDFN. Methods: The ABO blood type, Rh blood type, direct antiglobulin test (DAT) results, and the presence of unexpected antibodies and their titers were determined by serological methods. The cases of anti-c HDFN in our laboratory in China and abroad were statistically analyzed, and the incidence of severe HDFN caused by anti-c, anti-D and anti-E was compared. Results: The blood type of the child was B (Rh CcDee) with a positive DAT. Anti-c antibody was detected in both serum and eluate, with a serum antibody titer of 4. The mother’s blood type was AB (Rh CCDee) with a negative DAT, and anti-c antibody was detected in the serum with a titer of 128. Among 20 cases of anti-c HDFN, 17 were DAT positive, and 9 (45%, 9/20) underwent blood transfusion or exchange transfusion. The incidence of severe HDFN was 47.60% (10/21) for anti-c, 47.60% (10/21) for anti-D and 31.30% (5/16) for anti-E. Conclusion: Maternal pregnancy and/or blood transfusion are the main reasons for the production of Rh alloantibodies such as anti-c. The prevention and management of anti-c should be similar to that of anti-D. Rh antigen-matched (five antigens of Rh blood group) transfusion is necessary for women of childbearing age to avoid antibody production, and Rh typing and antibody screening during prenatal examination is recommended to ensure early detection, intervention and treatment.

Background Pneumoconiosis, a group of lung disease caused by long-term inhalation of occupational dust, features progressive development, irreversibility, and a high incidence of complications. It seriously endangers the health of the occupational population and exacerbates the socioeconomic burden. Objective To understand the development and major research themes of artificial intelligence research concerning pneumoconiosis and its complications. Methods Relevant academic papers before 2024-10-01 were retrieved from China National Knowledge Infrastructure and Web of Science, and analyzed separately according to the author, institutions, and keywords, then visualized with Citespace, the Bibliometrix package in R, and VOSviewer software. Results This study included 1068 articles (208 Chinese and 860 English). The results showed that artificial intelligence application in pneumoconiosis and its complications has seen explosive growth in the past five years. Institutions were mainly concentrated in universities and their affiliated medical units. Identified research hotspots included medical image recognition and analysis, auxiliary diagnosis, and risk prediction. Keywords like artificial intelligence, tuberculosis, deep learning, chronic obstructive pulmonary disease, and machine learning showed high centrality. Conclusion As computer technology advances, the use of artificial intelligence in addressing pneumoconiosis and its related complications is steadily expanding. Its research perspective has gradually expanded from simple disease prediction to diversified fields such as image recognition and health monitoring. Early pneumoconiosis screening, auxiliary differential diagnosis, andhealth monitoring will be the focus of future research.

In recent decades, the prevalence of neurodevelopmental disorders in children has been on the rise worldwide, and executive function plays an important role in early childhood development. Previous studies have shown that environmental endocrinedisrupting chemicals can enter brain tissue through the placental and blood-brain barriers, affecting neurodevelopment and jeopardizing children’s executive function development. During pregnancy, a special period for women of reproductive age, exposure to endocrinedisrupting chemicals not only affects intrauterine development, but may also have far-reaching effects on offspring health after birth. This article focused on reviewing domestic and international research literature on the effects of exposure to endocrinedisrupting chemicals [e.g., phthalates, polybrominated diphenyl ethers (PBDEs), perfluorinated and polyfluorinated alkyl substances (PFASs), and bisphenol A (BPA)] during pregnancy on offspring executive function published from 2015 to 2024, and further exploring potential associated biological mechanisms. Most studies pointed that endocrinedisrupting chemicals during pregnancy may affect children's executive function through triggering neuroinflammation, neurotransmitter disruption, and placental dysfunction. Specifically, exposure to phthalates and PBDEs during pregnancy is associated with reduced executive function in children, and the effects of PFAS and BPA are unclear. These findings suggest that more epidemiological studies and animal experiments need to be conducted in the future to deeply explore the effects of endocrinedisrupting chemicals exposure during pregnancy on children's executive function and its potential causal mechanisms, so as to provide new ideas for preventing neurodevelopmental disorders in children and promoting healthy development of children.

Objective To assess the nutritional status in elderly patients with chronic renal insufficiency (CRI) and reveal the key factors affecting the nutritional status. Methods A total of 310 elderly patients with CRI who received hospitalization treatment and outpatient follow-up in the hospital from January 2021 to June 2024 were selected as the investigation subjects. The nutritional status of patients was evaluated by mini-nutritional assessment (MNA) questionnaire, and the nutritional status and dietary structure of patients were comprehensively evaluated by anthropometric indicators [height, weight, body mass index (BMI), upper arm circumference, calf circumference], biochemical indicators [serum albumin (ALB), prealbumin (PA), hemoglobin (Hb), transferrin (TF)] and 24-hour dietary review method. According to the investigation results of nutritional status, the patients were divided into good nutrition group (MNA score≥24 points), nutritional risk group (MNA score of 17-23.5 points) and malnutrition group (MNA score<17 points). Univariate analysis was adopted to screen the potential influencing factors of elderly CRI. Multivariate logistic regression model was applied to analyze the influencing factors of malnutrition in elderly CRI patients. Results Among the 325 questionnaires were distributed, but only 310 valid questionnaires were recovered, with an effective recovery rate of 95.38%. Investigation results revealed that among the 310 patients, 29.35% (91 cases) had good nutritional status, and 42.26% (131 cases) had nutritional risk, and 28.39% (88 cases) had malnutrition. Univariate analysis indicated that there were statistical differences in BMI, CRI staging, serum ALB, PA, Hb, TF, protein intake and total calorie intake among the good nutrition group, the nutritional risk group and the malnutrition group (P<0.05). Multivariate logistic regression analysis suggested that low BMI (OR=0.903, 95%CI: 0.867-0.941), high CRI stage (OR=1.091, 95%CI: 1.053-1.130), low serum ALB (OR=0.907, 95%CI: 0.867-0.948), PA (OR=0.918, 95%CI: 0.888-0.949), Hb (OR=0.944, 95%CI: 0.909-0.997), TF (OR=0.912, 95%CI: 0.874-0.952), insufficient protein intake (OR=0.924, 95%CI: 0.882-0.969) and insufficient total calorie intake (OR=0.938, 95%CI: 0.909-0.968) were influencing factors for malnutrition in elderly patients with CRI (all P<0.05). Drawing ROC curve of malnutrition in elderly patients with CRI according to the prediction probability of logistic regression model found that the AUC, sensitivity, specificity, 95%CI and Youden index were 0.976, 93.18%, 92.34%, 0.953-0.990 (P<0.05) and 0.855. Conclusion The incidence rate of malnutrition is high in elderly patients with CRI, and is mainly affected by factors such as low BMI, high CRI stage, low serum ALB, PA, Hb and TF levels and insufficient protein and total calorie intakes. In addition, logistic regression model has high predictive value and can provide a reference for early clinical identification of high-risk population with malnutrition among elderly patients with CRI.

BACKGROUND: The optimal antidepressant dosages remain controversial. This study aimed to analyze the efficacy of antidepressants and characterize their dose-response relationships in the treatments of major depressive disorders (MDD). METHODS: We searched multiple databases, including the Embase, Cochrane Central Register of Controlled Trials, PubMed, and Web of Science, for the studies that were conducted between January 8, 2016, and April 30, 2023. The studies are double-blinded, randomized controlled trials (RCTs) involving the adults (≥18 years) with MDD. The primary outcomes were efficacy of antidepressant and the dose-response relationships. A frequentist network meta-analysis was conducted, treating participants with various dosages of the same antidepressant as a single therapy. We also implemented the model-based meta-analysis (MBMA) using a Bayesian method to explore the dose-response relationships. RESULTS: The network meta-analysis comprised 135,180 participants from 602 studies. All the antidepressants were more effective than the placebo; toludesvenlafaxine had the highest odds ratio (OR) of 4.52 (95% confidence interval [CI]: 2.65-7.72), and reboxetine had the lowest OR of 1.34 (95%CI: 1.14-1.57). Moreover, amitriptyline, clomipramine, and reboxetine showed a linear increase in effect size from low to high doses. The effect size of toludesvenlafaxine increased significantly up to 80 mg/day and subsequently maintained the maximal dose up to 160 mg/day while the predictive curves of nefazodone were fairly flat in different dosages. CONCLUSIONS: Although most antidepressants were more efficacious than placebo in treating MDD, no consistent dose-response relationship between any antidepressants was observed. For most antidepressants, the maximum efficacy was achieved at lower or middle prescribed doses, rather than at the upper limit. REGISTRATION No. CRD42023427480; https://www.crd.york.ac.uk/prospero/display_record.php?
Humans ; Antidepressive Agents/therapeutic use* ; Depressive Disorder, Major/drug therapy* ; Dose-Response Relationship, Drug ; Randomized Controlled Trials as Topic

Heart failure (HF) is a common end-stage clinical manifestation of cardiovascular diseases, imposing substantial health-related burdens worldwide. With its high mortality rates and poor long-term prognosis, there is a pressing need for novel therapies. SIRT1, a nicotinamide adenine dinucleotide (NAD⁺)-dependent deacetylase, has anti-cardiovascular aging properties and other cardioprotective effects, attracting much research attention in recent years. In addition, SIRT1 plays an important role in HF pathophysiology. This review summarized the roles of SIRT1 and its activators in HF, the changes of SIRT1 gene expression in cardiac tissues from animal models and HF patients, and the current status of clinical trials investigating SIRT1 activators as potential therapies for HF. This will provide new ideas for further exploration of pathological mechanisms and the development of clinical prevention strategies for HF.
Heart Failure/metabolism* ; Sirtuin 1/genetics* ; Humans ; Animals

The tumor microenvironment is a crucial factor in tumor occurrence and progression. The hypoxic microenvironment is widely present in tumor tissue and is a key endogenous factor accelerating tumor deterioration. The "blood stasis toxin" theory, as an emerging perspective in tumor research, is regarded as the unique "soil" in tumor progression from the perspective of traditional Chinese medicine(TCM) due to its dynamic evolution mechanism, which closely resembles the formation of the hypoxic microenvironment. Scientifically integrating TCM theories with the biological characteristics of tumors and exploring precise syndrome differentiation and treatment strategies are key to achieving comprehensive tumor prevention and control. This article focused on the hypoxic microenvironment of the tumor, elucidating its formation mechanisms and evolutionary processes and carefully analyzing the internal relationship between the "blood stasis toxin" theory and the hypoxic microenvironment. Additionally, it explored the interaction among blood stasis, toxic pathogens, and hypoxic environment and proposed micro-level prevention and treatment strategies targeting the hypoxic microenvironment based on the "blood stasis toxin" theory, aiming to provide TCM-based theoretical support and therapeutic approaches for precise regulation of the hypoxic microenvironment.
Humans ; Tumor Microenvironment/drug effects* ; Neoplasms/therapy* ; Animals ; Medicine, Chinese Traditional ; Disease Progression ; Drugs, Chinese Herbal

Heart rate variability time and frequency indices are widely used in functional assessment for autonomic nervous system (ANS). However, this method merely analyzes the effect of cardiac dynamics, overlooking the effect of cardio-pulmonary interplays. Given this, the present study proposes a novel cardiopulmonary coupling (CPC) algorithm based on cross-wavelet transform to quantify cardio-pulmonary interactions, and establish an assessment system for ANS aging effects using wearable electrocardiogram (ECG) and respiratory monitoring devices. To validate the superiority of the proposed method under nonstationary and low signal-to-noise ratio conditions, simulations were first conducted to demonstrate the performance strength of the proposed method to the traditional one. Next, the proposed CPC algorithm was applied to analyze cardiac and respiratory data from both elderly and young populations, revealing that young populations exhibited significantly stronger couplings in the high-frequency band compared with their elderly counterparts. Finally, a CPC assessment system was constructed by integrating wearable devices, and additional recordings from both elderly and young populations were collected by using the system, completing the validation and application of the aging effect assessment algorithm and the wearable system. In conclusion, this study may offers methodological and system support for assessing the aging effects on the ANS.
Humans ; Autonomic Nervous System/physiology* ; Algorithms ; Aging/physiology* ; Electrocardiography/methods* ; Heart Rate/physiology* ; Wavelet Analysis ; Aged ; Signal Processing, Computer-Assisted ; Wearable Electronic Devices