[Objective] To analyze the effects of different factors and red blood cell transfusion thresholds on the efficacy of neonatal red blood cell (RBC) transfusion, in order to provide more references for neonatal transfusions to better achieve rational and effective blood use. [Methods] A retrospective collection of data from 282 neonates who received RBC transfusions at our hospital from 2022 to 2023 was conducted, including birth weight, gestational age, number of blood transfusions, length of hospital stay, assisted ventilation during RBC transfusion, and laboratory test results before and after transfusion. SPSS software was used for statistical analysis to comprehensively analyze the impact of different factors on the efficacy of RBC transfusion in neonates. [Results] The results showed that the gestational age and weight of newborns at birth were negatively correlated with their length of hospital stay and the number of RBC transfusions during hospitalization. Newborns with younger gestational age and lower weight had longer hospital stays and more RBC transfusions during hospitalization. After administering RBCs according to the standard of 15 mL/kg, there was a statistically significant difference in the efficacy of RBC transfusion at different transfusion thresholds. In non-critical situations, RBC transfusions were ineffective when the pre-transfusion hemoglobin (Hb) level was >120 g/L. When the pre-transfusion Hb level was ≤70 g/L, RBC transfusions achieved higher efficacy in both critical and non-critical situations. [Conclusion] In critical situations, the group with pre-transfusion Hb values ≤ 70 g/L has the best RBC transfusion effect, while in non-critical situations, the group with pre-transfusion Hb levels between 81 and 90 g/L has the best RBC transfusion effect. Overall, the efficacy of RBC transfusion in non-critical situations is higher than that in critical situations.

With the rising incidence of breast cancer among women, neoadjuvant chemotherapy (NAC) is becoming increasingly crucial as a preoperative treatment modality, enabling tumor downstaging and volume reduction. However, its efficacy varies significantly among patients, underscoring the importance of predicting pathological complete response (pCR) following NAC. Early research relied on statistical methods to integrate clinical data for predicting treatment outcomes. With the advent of artificial intelligence (AI), traditional machine learning approaches were subsequently employed for efficacy prediction. Deep learning emerged to dominate this field, and demonstrated the capability to automatically extract imaging features and integrate multimodal data for pCR prediction. This review comprehensively examined the applications and limitations of these three methodologies in predicting breast cancer pCR. Future efforts must prioritize the development of superior predictive models to achieve precise predictions, integrate them into clinical workflows, enhance patient care, and ultimately improve therapeutic outcomes and quality of life.
Humans ; Breast Neoplasms/pathology* ; Neoadjuvant Therapy ; Artificial Intelligence ; Female ; Machine Learning ; Deep Learning ; Chemotherapy, Adjuvant ; Treatment Outcome

Accurate timing of myelination is crucial for the proper functioning of the central nervous system. Here, we identified a de novo heterozygous mutation in TMEM63A (c.1894G>A; p. Ala632Thr) in a 7-year-old boy exhibiting hypomyelination. A Ca²⁺ influx assay suggested that this is a loss-of-function mutation. To explore how TMEM63A deficiency causes hypomyelination, we generated Tmem63a knockout mice. Genetic deletion of TMEM63A resulted in hypomyelination at postnatal day 14 (P14) arising from impaired differentiation of oligodendrocyte precursor cells (OPCs). Notably, the myelin dysplasia was transient, returning to normal levels by P28. Primary cultures of Tmem63a^-/- OPCs presented delayed differentiation. Lentivirus-based expression of TMEM63A but not TMEM63A_A632T rescued the differentiation of Tmem63a^-/- OPCs in vitro and myelination in Tmem63a^-/- mice. These data thus support the conclusion that the mutation in TMEM63A is the pathogenesis of the hypomyelination in the patient. Our study further demonstrated that TMEM63A-mediated Ca²⁺ influx plays critical roles in the early development of myelin and oligodendrocyte differentiation.
Animals ; Cell Differentiation/physiology* ; Oligodendroglia/metabolism* ; Mice, Knockout ; Mice ; Male ; Myelin Sheath/metabolism* ; Humans ; Child ; Cells, Cultured ; Oligodendrocyte Precursor Cells/metabolism*

Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

Background Arsenic, cobalt, barium, and other individual metal exposure have been confirmed to be associated with the incidence of kidney stones. However, there are few studies on the association between mixed metal exposure and kidney stones, especially in occupational groups. Objective To investigate the association between mixed metal exposure and kidney stones in an occupational population from a metal smelting plant. Methods A questionnaire survey was conducted to collect sociodemographic characteristics, medical history, and lifestyle information of 1158 mixed metal-exposed workers in a metal smelting plant in Guangdong Province from July 2021 to January 2022. Midstream morning urine samples were collected from the workers, the concentrations of 18 metals including lithium, vanadium, chromium, manganese, cobalt, nickel, copper, zinc, arsenic, selenium, strontium, molybdenum, cadmium, cesium, barium, tungsten, titanium, and lead were measured by inductively coupled plasma mass spectrometry, and the urinary mercury levels were measured by cold atomic absorption spectroscopy. Based on predetermined inclusion criteria, a total of 919 mixed metal-exposed workers were included in the study, including 117 workers in the kidney stone group and 802 workers in the non-kidney stone group. With a detection rate of urinary metals greater than 80% as entry criterion, 16 eligible metals were finally included for further analysis. Parametric or non-parametric methods were used to compare the differences between continuous or categorical variables of the non-kidney stone group and the kidney stone group. Logistic regression models were constructed to explore the association between individual metal exposures and kidney stones. Weighted quantile sum (WQS) regression models were used to evaluate the association between mixed metal exposure and kidney stones, as well as the weights of each metal on kidney stones. Then Bayesian kernel machine regression (BKMR) models were used to explore the overall effect of mixed metal exposure on renal calculi and the potential interactions between metals. Results We found that there were significant differences in sex, age, length of service, and body mass Index (BMI) between the non-kidney stone group and the kidney stone group (P<0.05). The urinary concentrations of molybdenum and barium in the kidney stone group were higher than those in the non-kidney stone group, and the differences were statistically significant (P<0.05). The logistic regression models demonstrated that urinary cobalt, arsenic, molybdenum, and barium were positively correlated with the risk of kidney stones (P_trend<0.05). The WQS regression models showed that the mixed exposure to vanadium, cobalt, arsenic, molybdenum, and barium was positively associated with the risk of kidney stones (P<0.05). Among them, molybdenum, arsenic, and barium accounted for 0.391, 0.337, and 0.154, respectively. The BKMR results revealed a positive association between metal mixture exposure and the risk of kidney stones (P<0.05). When other metals were fixed at the 25th, 50th, or 75th percentile, arsenic, molybdenum, cobalt, and barium exhibited significant positive effects on the risk of kidney stones (P<0.05), while vanadium showed a significant negative effect (P<0.05). The interaction analysis demonstrated interactions between barium and cobalt, as well as between vanadium and cobalt (P<0.05). Conclusion In the occupational population of this smelter, occupational mixed metal exposure could increase the risk of kidney stones, and the main metals are molybdenum, arsenic, barium, and cobalt.

OBJECTIVE To study the effects of SR9009 and LXH0225,nuclear receptor subfamily 1 group D member(REV-ERB)agonists,on mood disorders and cognitive impairment in over-training mice.METHODS Male C57BL/6J mice were randomly divided into the normal control,over-training model,model+fluoxetine(15 mg?kg-1),model+SR9009(100 mg?kg-1)and model+LXH0225(50 mg?kg-1)groups.Mice in the normal control group were ip given15%cremophor without extra stress while those in other groups were ip given 15%cremophor or different drugs respectively 30 min before daily forced swimming stress.When stressed,mice were forced to swim in 19-21℃water for 20 min per day for 18 d.After that,locomotor activity was assessed.Rotarod test and weight-loaded swimming test were performed to measure physical strength,while open field test and stair-climbing test were performed to measure anxiety-like behavior.Tail suspension test and forced swimming test were used to measure depression-like behavior while novel object recognition test and Y maze test were conducted to measure recogni-tion function.ELISA was used to measure serum corticosterone contents.RESULTS Compared with the normal control group,the locomotor activity of mice in the model group was significantly increased(P<0.01).There were anxiety-like behaviors with a significant increase in the number of times of stair-climb-ing and rearing(P<0.01).Depression-like behaviors were observed with a significant increase immobile time in forced swimming test(P<0.01).Cognitive impairment was manifested as decreased accuracy of Y-maze spontaneous alternation response(P<0.01).The corticosterone content was significantly elevated(P<0.01)in forced swimming mice.Compared with the model group,the accuracy of Y-maze spontaneous alternations was higher(P<0.01)and the content of serum corticosterone was lower(P<0.01)in the model+fluoxetine group.The immobile time was shorter(P<0.01),the spontaneous alternation response of Y maze was was less accurate(P<0.05)and serum corticosterone content was lower(P<0.01)in the model+SR9009 group than in the model group.The latency to fall off the rotarod was longer(P<0.05),the immobile time was shorter(P<0.01)and the content of serum corticosterone was lower(P<0.01)in the model+LXH0225 group compared with the model group.CONCLUSION The REV-ERBs agonists SR9009 and LXH0225 may protect against forced swimming over-training induced mood disorders and cognitive impairment.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To investigate the influence of family resilience on patients with ischemic stroke and provide references for promoting positive handling of patients and the family adaptation.Methods Objective sampling was employed to conduct the semi-structured interviews among 20 patients with ischemic stroke in a Grade ⅢA hospital in Hunan Province between June and September 2021.The data acquired from the interviews were analysed and summarised following Colaizzi analysis method.Results A total of three themes with 10 dimensions were extracted,including promoting post-traumatic growth of patients with 3 dimensions(accepting and attaching importance to the disease to develop a right recognition of the disease,enhancing the will to combat the disease and increasing rehabilitative awareness to develop a healthy life style,cultivating spiritual believes to increase the sense of adversity;stabilising family function and providing emotional support with 4 dimensions in creating safe and satisfactory family settings,facilitating active communications among family members to jointly make decisions fighting against the disease,optimising the roles of family members,and fortifying the cohesion among family members;and proving spiritual comfort and material support with 3 dimensions of providing mutual support among family members to reduce the costs of treatment,improving family intimacy and adaptive support to reduce negative emotions,and seeking support from society to reduce financial burdens.Conclusions Family resilience brings influences to the patients with ischemic stroke from multiple perspectives.It can promote post-traumatic growth,stabilise family functions,provide emotional support,and provide spiritual consolation as well as financial support.Therefore,healthcare workers should enhance the family resilience and ensure the role of family functions to promote an early recovery of patients.

Objective:To investigate whether glycated haemoglobin A1c (HbA1c) can be used as a predictor of mortality risk in patients with influenza pneumonia.Methods:This study was a single-center retrospective study, and enrolled patients with influenza pneumonia in the Emergency Department and in-patient departments of Beijing Chaoyang Hospital, Capital Medical University from 2017 to 2019. Gender, age, underlying diseases, influenza virus nucleic acid or antigen results, chest X-ray or chest CT reports, routine blood test, biochemical indicators, HbA1c and procalcitonin (PCT) were collected, and all subjects were divided into survival and death groups based on 28-day mortality. The differences between the two groups were compared and Cox regression was used to analyze risk factors for 28-day mortality.Results:In this study, 122 patients with influenza pneumonia were included, and 94 (77.0%) cases were divided into the survival group and 28 (23.0%) cases into the death group. Univariate analysis showed that lymphocyte counts [0.49 (0.33, 0.73) vs. 0.77 (0.49, 1.23) ×10 9/L, Z= -3.008, P=0.003] were lower and HbA1c levels [6.5 (6.1, 7.1) vs. 6.1 (5.7, 6.8) %, Z= 2.203, P= 0.028] and PCT levels [0.64 (0.20, 6.43) vs. 0.16 (0.05, 0.87) μg/L, Z=2.594, P=0.009] were higher in dead patients compared with those in the survivors. Cox multivariate regression and survival analysis found that after adjusting for age, lymphocyte counts ( HR=0.260, 95% CI: 0.087-0.773, P=0.015) and HbA1c levels ( HR=1.295, 95% CI:1.007-1.666, P=0.044) were independent risk factors for 28-day mortality. Conclusions:HbA1c is an independent risk factor for predicting 28-day mortality in patients with influenza pneumonia.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.