Objective:To construct and verify a risk prediction model for pulmonary infection in patients with aneurysmal subarachnoid hemorrhage (aSAH) after craniotomy and clipping, providing theoretical basis and practical guidance for improving the quality of postoperative care.Methods:Using the convenience sampling method, a retrospective selection was made of 397 patients with aSAH after craniotomy and clipping who were hospitalized in the Department of Neurosurgery of Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2019 to December 2023 as the modeling group. They were randomly divided into the training set and the test set at a ratio of 7:3, with 278 cases in the training set and 119 cases in the test set. Patients were divided into the infection group and the non-infection group based on whether they developed pulmonary infection. Univariate analysis was used to model the risk factors of pulmonary infection after aSAH craniotomy and clamping in the group, and Lasso regression was used to construct a predictive model. A total of 119 patients with aSAH admitted to the neurosurgery department of the same hospital from January to April 2024 were selected for the external validation of the model. The predictive effect of the model was evaluated through the receiver operating characteristic (ROC) curve.Results:In the modeling group, there were 216 male patients and 181 female patients. The incidence of pulmonary infection was 38.54% (153/397). Finally, five influencing factors, namely stroke, Hunt-Hess classification, mechanical ventilation, indwelling nasogastric tube and the timing of initiating enteral nutrition, were included to construct a predictive model. The areas under the ROC curves of the nomogram prediction models of this model in the training set, test set, and external validation group were 0.859(95% CI 0.791-0.928), 0.843(95% CI 0.796-0.890), and 0.800(95% CI 0.711-0.889), respectively. The calibration curve shows that the model's prediction fits well with the actual situation and has a high degree of calibration. Decision curve analysis indicates that this model has high clinical application value under different risk thresholds. Conclusions:The risk prediction model for pulmonary infection in patients after craniotomy and clipping with aSAH has good discrimination and calibration, which can provide reference for medical staff to identify high-risk patients at an early stage and take preventive intervention measures.

Objective:To construct and verify a risk prediction model for pulmonary infection in patients with aneurysmal subarachnoid hemorrhage (aSAH) after craniotomy and clipping, providing theoretical basis and practical guidance for improving the quality of postoperative care.Methods:Using the convenience sampling method, a retrospective selection was made of 397 patients with aSAH after craniotomy and clipping who were hospitalized in the Department of Neurosurgery of Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2019 to December 2023 as the modeling group. They were randomly divided into the training set and the test set at a ratio of 7:3, with 278 cases in the training set and 119 cases in the test set. Patients were divided into the infection group and the non-infection group based on whether they developed pulmonary infection. Univariate analysis was used to model the risk factors of pulmonary infection after aSAH craniotomy and clamping in the group, and Lasso regression was used to construct a predictive model. A total of 119 patients with aSAH admitted to the neurosurgery department of the same hospital from January to April 2024 were selected for the external validation of the model. The predictive effect of the model was evaluated through the receiver operating characteristic (ROC) curve.Results:In the modeling group, there were 216 male patients and 181 female patients. The incidence of pulmonary infection was 38.54% (153/397). Finally, five influencing factors, namely stroke, Hunt-Hess classification, mechanical ventilation, indwelling nasogastric tube and the timing of initiating enteral nutrition, were included to construct a predictive model. The areas under the ROC curves of the nomogram prediction models of this model in the training set, test set, and external validation group were 0.859(95% CI 0.791-0.928), 0.843(95% CI 0.796-0.890), and 0.800(95% CI 0.711-0.889), respectively. The calibration curve shows that the model's prediction fits well with the actual situation and has a high degree of calibration. Decision curve analysis indicates that this model has high clinical application value under different risk thresholds. Conclusions:The risk prediction model for pulmonary infection in patients after craniotomy and clipping with aSAH has good discrimination and calibration, which can provide reference for medical staff to identify high-risk patients at an early stage and take preventive intervention measures.

Objective To explore the value of combining quantitative indicators of rectus femoris muscle obtained through ultrasound technology with clinical data in identifying protein energy wasting(PEW)in patients with chronic kidney disease(CKD)undergoing maintenance hemodialysis.Methods 90 CKD patients undergoing regular hemodialysis treatment in Guangzhou Red Cross Hospital from November 2023 to August 2024 were selected and divided into experimental group(30 cases with PEW)and control group(60 cases without PEW)according to PEW diagnostic criteria.Clinical indicators and quadriceps ultrasound quantitative data were measured and compared between two groups.Independent predictors of PEW were screened through multivariate Logistic regression analysis.A prediction model was constructed and receiver operating characteristic curve were drawn to evaluate its diagnostic performance.Results Significant differences were observed between experimental group and control group in body mass index(BMI),serum albumin,age,gender,rectus femoris thickness,and cross-sectional area(P＜0.05).Multivariate Logistic regression analysis showed that BMI and rectus femoris thickness were independent factors affecting PEW in CKD patients.A diagnostic model based on these two indicators,Logit(P)=1/[1+e-(10.292-0.378×BMI-2.992×rectus femoris thickness)],demonstrated good diagnostic performance(area under the curve=0.853,95％CI:0.764-0.943,P＜0.05).Conclusion Ultrasound assessment of rectus femoris thickness can objectively reflect the degree of skeletal muscle atrophy in CKD patients,and the prediction model constructed in combination with BMI helps in early identification of PEW and clinical intervention decision-making.

Objective To explore the value of combining quantitative indicators of rectus femoris muscle obtained through ultrasound technology with clinical data in identifying protein energy wasting(PEW)in patients with chronic kidney disease(CKD)undergoing maintenance hemodialysis.Methods 90 CKD patients undergoing regular hemodialysis treatment in Guangzhou Red Cross Hospital from November 2023 to August 2024 were selected and divided into experimental group(30 cases with PEW)and control group(60 cases without PEW)according to PEW diagnostic criteria.Clinical indicators and quadriceps ultrasound quantitative data were measured and compared between two groups.Independent predictors of PEW were screened through multivariate Logistic regression analysis.A prediction model was constructed and receiver operating characteristic curve were drawn to evaluate its diagnostic performance.Results Significant differences were observed between experimental group and control group in body mass index(BMI),serum albumin,age,gender,rectus femoris thickness,and cross-sectional area(P＜0.05).Multivariate Logistic regression analysis showed that BMI and rectus femoris thickness were independent factors affecting PEW in CKD patients.A diagnostic model based on these two indicators,Logit(P)=1/[1+e-(10.292-0.378×BMI-2.992×rectus femoris thickness)],demonstrated good diagnostic performance(area under the curve=0.853,95％CI:0.764-0.943,P＜0.05).Conclusion Ultrasound assessment of rectus femoris thickness can objectively reflect the degree of skeletal muscle atrophy in CKD patients,and the prediction model constructed in combination with BMI helps in early identification of PEW and clinical intervention decision-making.

Objective To investigate the expression and role of the DNA repair and recombination protein RAD54-like(RAD54L)in oral squamous cell carcinoma(OSCC).Methods Using OSCC-related data from The Cancer Genome Atlas(TCGA)database,the difference in RAD54L expression between OSCC and control samples was analysed using the Mann-Whitney rank sum test,and the potential value of RAD54L mRNA in OSCC diagnosis was assessed using the receiver operator characteristic curve.The correlation between RAD54L expression levels and clinicopathological data of OSCC patients was analysed using the chi-square test.Once OSCC samples were divided into two groups of high and low expression based on the median value of RAD54L mRNA expression,Cox regression analysis was used to compare the prognostic differences between the two groups.The differentially expressed genes between the groups were subse-quently screened using the DESeq2 package,and KEGG pathway enrichment analysis was performed using the cluster-Profiler package.The correlation between RAD54L mRNA and gene expression in the homologous recombination repair pathway was demonstrated by Spearman correlation analysis.After clarifying the bioinformatics significance of RAD54L,RAD54L knockdown experiments were performed in human oral squamous carcinoma cell line HSC-3,and the knock-down efficiency was verified through real-time quantitative polymerase chain reaction.After transfection,the changes in proliferation,migration,apoptosis,and cycle of HSC-3 cells were assessed by CCK-8,5-ethynyl-2'-deoxyuridine(EdU)staining,wound healing,apoptosis,and cell cycle assays.Results Bioinformatics analysis showed that the expression of RAD54L mRNA was higher in OSCC than in normal controls(P＜0.001)and had a high value in predicting poor prognosis(AUC=0.927).The high RAD54L expression group was associated with an increased proportion of male pa-tients(P=0.032),having a higher T-stage(P=0.040),clinical stage(P=0.027),and pathological grading(P=0.013).Once OSCC samples were divided into two groups of high and low expression using the median value of RAD54L mRNA expression,the prognosis of the group with high expression of RAD54L was poorer than that of the group with low expression(P=0.049).The differentially expressed genes between the high and low RAD54L expression groups two groups were mainly enriched in neuroactive ligand-receptor interactions,cytokine-cytokine receptor interactions,calci-um signaling pathway,cell cycle,gastric cancer,extracellular matrix receptor interactions,chemical carcinogenesis-DNA adducts,DNA replication,homologous recombination,and mismatch repair pathways(P＜0.05).In the homolo-gous recombination repair pathway,the expression of RAD54L was positively correlated with the expression of BRCA1,BLM,EME1,XRCC2,POLD1,TOPBP1,RAD51,BRIP1,RAD54B,BRCA2,and SYCP3(P＜0.05),and was strongly positively correlated with the expression of BRCA1,BLM,and EME1(R＞0.8,P＜0.05).The results of in vitro experi-ments showed that RAD54L expression was knocked down to approximately 25％in HSC-3 cells(P＜0.001).Compared with the control group,the RAD54L knockdown group showed a lower proliferation rate(P＜0.05),a lower proportion of EdU-positive cells(P＜0.001),a lower proportion of wound closure(P＜0.001),a higher proportion of G1-phase cells(P＜0.001),a lower proportion of S-phase cells(P＜0.001),and a higher proportion of apoptotic cells(P＜0.001).Conclusion RAD54L is highly expressed in OSCC and correlates with poor prognosis.Down-regulation of RAD54L expression inhibits the proliferation and migration of HSC-3 cells,promotes apoptosis,and impedes cell cycle progres-sion.

Objective::To evaluate the feasibility, safety, and effectiveness of a novel edge-to-edge mitral valve repair system (the NovoClasp system) in patients with severe mitral regurgitation.Methods::In this prospective, single-arm, first-in-human study conducted at Beijing Anzhen Hospital, data were collected from patients undergoing transcatheter edge-to-edge repair using the NovoClasp system. The study candidates were patients exhibiting a mitral regurgitation severity of 3+ or more and were at high-risk or contraindicated for surgical intervention. Technical success and device success according to the Mitral Valve Academic Research Consortium definitions were used as primary outcomes. Other safety and efficacy outcomes were prospectively assessed at device implantation, discharge, and 30 d, 6 months, and 12 months post-procedure.Results::Between October 1, 2021, and January 31, 2022, 11 patients were treated for moderate-to-severe (grade 3+) or severe (grade 4+) mitral regurgitation using the NovoClasp system. All patients had a baseline New York Heart Association functional class of III-IV, with 7/11 exhibiting complex mitral valve disease. All patients achieved the primary endpoints of technical and device success, with a post-operative 30-d mitral regurgitation grade reduction to 2+ or lower, which was maintained at 12 months. One patient had minor bleeding and hematoma at the access site before discharge, and 2 patients were readmitted due to fast atrial fibrillation within 12 months post-discharge. No additional cases of death, adverse cerebral or cardiovascular events, or device-related complications was observed during the follow-up.Conclusion::This study suggested the potential feasibility and safety of the NovoClasp system, showing a promising technical and device success rate, along with a decrease in mitral regurgitation severity. A further pivotal study is needed to assess the procedural and long-term outcomes.

Objective::To evaluate the feasibility, safety, and effectiveness of a novel edge-to-edge mitral valve repair system (the NovoClasp system) in patients with severe mitral regurgitation.Methods::In this prospective, single-arm, first-in-human study conducted at Beijing Anzhen Hospital, data were collected from patients undergoing transcatheter edge-to-edge repair using the NovoClasp system. The study candidates were patients exhibiting a mitral regurgitation severity of 3+ or more and were at high-risk or contraindicated for surgical intervention. Technical success and device success according to the Mitral Valve Academic Research Consortium definitions were used as primary outcomes. Other safety and efficacy outcomes were prospectively assessed at device implantation, discharge, and 30 d, 6 months, and 12 months post-procedure.Results::Between October 1, 2021, and January 31, 2022, 11 patients were treated for moderate-to-severe (grade 3+) or severe (grade 4+) mitral regurgitation using the NovoClasp system. All patients had a baseline New York Heart Association functional class of III-IV, with 7/11 exhibiting complex mitral valve disease. All patients achieved the primary endpoints of technical and device success, with a post-operative 30-d mitral regurgitation grade reduction to 2+ or lower, which was maintained at 12 months. One patient had minor bleeding and hematoma at the access site before discharge, and 2 patients were readmitted due to fast atrial fibrillation within 12 months post-discharge. No additional cases of death, adverse cerebral or cardiovascular events, or device-related complications was observed during the follow-up.Conclusion::This study suggested the potential feasibility and safety of the NovoClasp system, showing a promising technical and device success rate, along with a decrease in mitral regurgitation severity. A further pivotal study is needed to assess the procedural and long-term outcomes.

Objective To identify the potential long non-coding RNA (lncRNA) expressed in rheumatoid arthritis (RA) synovium key to RA onset and investigate its association with immune cell infiltration. Methods RA synovium data were downloaded from the GEO database and normalized. The lncRNAs key to RA onset were identified using multiple machine learning methods. Infiltration of 22 immune cell populations in RA synovium was measured by cell-type identification by estimating relative subsets of RNA transcripts (CIBER-SORT). The relationship between the key lncRNA and infiltrating immune cells was analyzed. Finally, real-time quantitative PCR was applied to validate the expression of the key lncRNA in RA synovial cells. Results lncRNA human leukocyte antigen complex P5(HCP5) was identified as the key lncRNA associated with RA onset. Infiltration analysis revealed increased abundance of CD8⁺ T cells, γδ T cells, and M1 macrophages while decreased abundance of M2 macrophages in RA synovial tissue. Correlation analysis demonstrated that the lncRNA HCP5 expression was positively associated with the infiltration abundance of CD8⁺ T cells, γδ T cells, and M1 macrophages in RA synovial tissue. Furthermore,the expression of lncRNA HCP5 in RA synovial cells was up-regulated. Conclusion lncRNA HCP5 expression is up-regulated in RA synovial tissue and potentially associated with immune cells infiltration.
Humans ; Arthritis, Rheumatoid ; CD8-Positive T-Lymphocytes ; HLA Antigens/metabolism* ; RNA, Long Noncoding/metabolism* ; Synovial Membrane/metabolism*

Background Exposure to air pollutants O₃ and PM_2.5 is closely related to population mortality. Most of the domestic research findings are for residents in coastal areas, and less for those in the central and western regions. Objective To investigate the acute effects of O₃ and PM_2.5 on the mortality of residents in a city of central China. Methods Data were collected on atmospheric pollutants, meteorological data, and population mortality in a city of central China from January 1, 2015 to June 30, 2021. Meteorological data included daily average temperature, air pressure, and relative humidity. Atmospheric pollution data included daily mean concentrations of PM_2.5, PM₁₀, SO₂, NO₂, and CO and maximum 8 h O₃. Generalized additive model with Poisson distribution was used for estimating the relationships between air pollutants (O₃ and PM_2.5) and population mortality, and further stratified by age, gender, and education. Results The daily maximum 8 h average concentration of O₃ in the city during the study period was 94.38 μɡ·m⁻³ and the daily average concentration of PM_2.5 was 55.56 μɡ·m⁻³. In the single-pollutant model, the correlations between O₃ concentration and total deaths as well as deaths due to respiratory, circulatory, hypertension, coronary heart disease, and stroke were strongest at lag02, lag2, lag02, lag0, lag02, and lag0, and for every 10 μɡ·m⁻³ increase in concentration of O₃, the associated ER (95%CI) values of daily mortality were increased by 0.09% (−0.08%–0.25%), 0.35% (0–0.71%), 0.43% (0.18%–0.68%), 0.45% (0.02%–0.91%), 0.59% (0.16%–1.02%), and 0.33% (0.01%–0.65%), respectively. The effect of O₃ on total mortality was not statistically significant (P>0.05). The correlations between PM_2.5 concentration and total deaths, as well as deaths due to respiratory, circulatory, hypertension, coronary heart disease, and stroke were strongest at lag1, lag5, lag01, lag05, lag04, and lag01, and for every 10 μɡ·m⁻³ increase in concentration of PM_2.5, the associated ER (95%CI) values of daily mortality increased by 0.02% (−0.09–0.13%), 0.25% (0.01%–0.50%), 0.35% (0.16%–0.54%), 1.18% (0.59%–1.77%), 0.17% (−0.13%–0.40%), and 0.65% (0.38%–0.92%), respectively, with no statistically significant effects of PM_2.5 on total mortality and mortality due to coronary heart disease (P>0.05). During warm season (from May to October), the ER (95%CI) values of total deaths per 10 μɡ·m⁻³ increase in O₃ in male, people aged 6~65 years, people aged >65 years, and people below high school education were 0.46% (0.16%–0.75%), 0.38% (0.08%–0.68%), 0.41% (0.14%–0.66%), and 0.38% (0.14%–0.61%), respectively, while the O₃ effect was not statistically significant (P>0.05) during cool season (from November to April). Conclusions Atmospheric pollutants (O₃ and PM_2.5) have acute effects on mortality in the city, with the elderly, people with less than a high school education, and those with circulatory disease being more sensitive to O₃ and PM_2.5 exposures.

Background In recent years, our country's atmospheric particulate matter pollution has improved significantly, while ozone (O₃) pollution has become increasingly serious. As a secondary pollutant, O₃ is closely related to human health. Objective To study the effect of short-term exposure to ozone in ambient air on population mortality in China. Methods A computer search with key words of "ozone or O₃", "death", and "time series" in Chinese or "ozone", "mortality", and "China" in English was performed in Web of Science, PubMed, China National Knowledge Infrastructure, Wanfang, and VIP databases to find literature on effects of short-term ozone exposure on population mortality covering a time period from January 1, 1990 to December 31, 2021. According to a set of inclusion and exclusion criteria developed for this study, literaturescreening, quality evaluation, andrelevant data extraction were carried out. Finally, R 4.1.2 software was used to perform meta-analysis to estimate target effect sizes. Results A total of 978 articles were retrieved. According to the inclusion and exclusion criteria, 18 articles were finally included, including 39 effect size estimates. The results showed that every 10 μɡ·m⁻³ increase in ambient ozone concentration was associated with an increase of 0.45% (95%CI: 0.39%-0.51%), 0.50% (95%CI: 0.33%-0.68%), and 0.60% (95%CI: 0.48%-0.72%) in total, respiratory, and cardiovascular disease mortalities , respectively. The results of subgroup analysis by age, sex, and season showed that when ozone concentration increased 10 μɡ·m⁻³, an increase of 0.34% (95%CI: 0.17%-0.51%) in mortality was observed in the ≥ 65-year-old population, higher than 0.09% (95%CI: −0.21%-0.39%) increase in the <65-year-old population; the mortality increase in females [0.44% (95%CI: 0.30%-0.58%)] was greater than that in males [0.35% (95%CI: 0.22%-0.48%)]; compared with the warm season [0.29% (95%CI: 0.16%-0.42%)], mortality increase was higher in the cold season [1.03% (95%CI: 0.71%-1.35%)]. Conclusion Ambient ozone is an important factor affecting population mortality. The elderly and women ≥ 65 years old in China are more sensitive to ozone, and the impact of ozone exposure on population mortality is greater in cold season.