Objective: To evaluate the current situation of thermal environment in primary and secondary school classrooms during winter, and to analyze students thermal comfort needs, so as to provide a basis for improving classroom thermal environment. Methods: From December 16 to 26, 2024, a stratified cluster random sampling method was used to select 90 classrooms from 15 primary and secondary schools in centralized/air conditioned heating areas(Liaoning Province, Tianjin City, Shanghai City) and naturally ventilated areas(Anhui Province and Jiangxi Province)for on site environmental measurement. A questionnaire survey was conducted among 743 students. The differences between groups using the χ 2 test were compared. Based on actual measurement data, a predicted mean vote prepared percentage of dissatisfied (PMV-PPD) model for centralized/air conditioned classrooms and an adaptive model for naturally ventilated classrooms were established, and the thermal neutral temperature and comfort interval were calculated. Results: The average outdoor temperature during on site measurement was 4.00(0.20，7.00)℃. In classrooms with centralized or air conditioned heating systems, the measured average temperature was (19.33±2.59)℃, with a thermal comfort range of 20.35-25.35 ℃ and a thermal neutral temperature of 22.85 ℃. And 13.92% of students reported feeling cold, while 80.80% felt comfortable. In classrooms with natural ventilation, the measured average temperature was (12.26±1.83)℃, with a thermal neutral temperature of 19.67 ℃ and a thermal comfort range of 16.17-23.17 ℃. About 48.33% of students reported feeling cold, and 49.81 % felt comfortable.The results of univariate analysis showed that there were statistically significant differences in shoe thickness, temperature sensation, relative humidity sensation and wind speed sensation between centralized/air conditioned heating areas ( χ 2= 7.01 , 31.47, 13.57, 13.80,all P <0.05). There were also statistically significant differences in school stage for primary and secondary school students, body mass index, classroom location for seat, temperature sensation, relative humidity sensation and wind speed sensation between naturally ventilated areas ( χ 2=42.13, 11.13, 11.04, 60.39, 29.27, 38.46,all P <0.05). Conclusions There are differences in thermal environment and students subjective thermal comfort in primary and secondary schools under different ventilation modes in winter. The temperature standards for heated classrooms should be revised, and differentiated environmental regulation strategies should be adopted based on different ventilation methods to improve students health and comfort levels.

Environmental pollution is a significant public health challenge worldwide, and investigating the causal relationship between environmental exposure and population health outcomes is a key objective of environmental epidemiology research. In recent years, the complexity of environmental exposures has increasingly come to the forefront, making it challenging for observational studies that dominate environmental epidemiology to accurately estimate causal effects. Causal inference methods are particularly advantageous in controlling for confounding factors, thus holding great potential in environmental epidemiology research. Researchers can use appropriate causal inference methods to simulate the process of randomization, providing strong support for revealing the causal relationship between environmental exposure and health outcomes. However, there is a lack of reviews on the application of causal inference methods in environmental epidemiology studies in China. Therefore, this study introduced the basic principles of common causal inference statistical methods in environmental epidemiology, summarized the applicable conditions, advantages and disadvantages of various methods, and provided R software implementation codes for these methods, aiming to offer guidance for optimizing research design and practicing causal inference statistical methods.

OBJECTIVE To establish a high-risk medication list and preventive and therapeutic measures for drug-induced hypofibrinogenemia， and to provide a reference for the prevention and treatment of this condition. METHODS By integrating domestic and international case reports， retrospective case-control studies， and spontaneous adverse drug reaction reporting databases， 19 domestically marketed high-risk drugs for drug-induced hypofibrinogenemia were identified. Based on the clinical characteristics and mechanisms of these drugs， relevant risk factors were systematically reviewed， and existing treatment options were summarized， leading to the preliminary development of recommended preventive and therapeutic measures. A two-round Delphi consultation was conducted to evaluate， revise， and ultimately reach consensus on the preliminary findings， using a mean importance score of ≥3.5 points for indicators and a coefficient of variation ＜0.3 as screening criteria. RESULTS The coefficient of expert authority for both rounds of expert consultation was 0.904. In the first round， the Kendall coordination coefficients （Kendall’s W ） for the high-risk medication list and the proposed preventive and therapeutic measures were 0.390 and 0.223 （ P ＜0.05）， respectively. In the second round， the Kendall’s W were 0.227 and 0.200 （ P ＜0.05）， respectively. After two rounds of expert consultation and discussion， 11 high-risk drugs for drug-induced hypofibrinogenemia， represented by hemocoagulase and certain anti-infective agents， were ultimately identified， along with 5 preventive and therapeutic measures spanning the entire process of “pre-medication assessment， intra-medication monitoring， and bleeding event management”. CONCLUSIONS This study has established a scientific and reliable high-risk medication list， and corresponding preventive and therapeutic measures for drug-induced hypofibrinogenemia， providing a theoretical basis and practical support for the early identification， stratified management， and precise intervention of this condition.

ObjectiveTo establish a new noninvasive， simple， and convenient clinical predictive model by identifying independent predictive factors for rebleeding after endoscopic therapy in cirrhotic patients with esophagogastric variceal bleeding （EGVB）， and to provide a basis for individualized risk assessment and development of clinical intervention strategies. MethodsCirrhotic patients with EGVB who were diagnosed and treated in The First Affiliated Hospital of Xi’an Medical University from September 2018 to October 2023 were enrolled as subjects， and according to whether the patient experienced rebleeding within 1 year after endoscopic therapy， they were divided into rebleeding group with 93 patients and non-rebleeding group with 84 patients. Clinical data were collected and analyzed. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. A Logistic model was established based on the results of the univariate and multivariate analyses， and the receiver operating characteristic （ROC） curve and the area under the ROC curve （AUC） were used to assess the accuracy of the model. R software was used to visualize the model by plotting a nomogram， and the Bootstrap method was used for internal validation of the model. ResultsThe multivariate analysis showed that red blood cell count （RBC）， cholinesterase （ChE）， alkaline phosphatase （ALP）， albumin （Alb）， thrombin time （TT）， portal vein trunk diameter， sequential therapy， and primary prevention were independent predictive factors for rebleeding. Based on the results of the multivariate analysis， a logistic model was established as logit（P）=-0.805-1.978×（RBC）+0.001×（ChE）-0.020×（ALP）-0.314×（Alb）+0.567×（TT）+0.428×（portal vein trunk diameter）-2.303×［sequential therapy （yes=1， no=0）］-2.368×［primary prevention （yes=1， no=0）］. The logistic model （AUC=0.928， 95% confidence interval ［CI］： 0.893—0.964， P<0.001） had a better performance in predicting rebleeding than MELD score （AUC=0.603， 95%CI： 0.520—0.687， P=0.003）， Child-Pugh class （AUC=0.650， 95%CI： 0.578—0.722， P=0.001）， and FIB-4 index （AUC=0.587， 95%CI： 0.503—0.671， P=0.045）. The model had an optimal cut-off value of 0.607， a sensitivity of 0.817， and a specificity of 0.817. Internal validation confirmed that the model had good predictive performance and accuracy. ConclusionSequential therapy， implementation of primary prevention， an increase in RBC， and an increase in Alb are protective factors against rebleeding， while prolonged TT and widened main portal vein diameter are risk factors. The logistic model based on these independent predictive factors can predict rebleeding and thus holds promise for clinical application.

Colorectal cancer (CRC) is characterized by persistently high incidence and mortality. Current therapies are limited by drug resistance and modest patient benefit, underscoring the urgent need for new perspectives rooted in tumor biology. The unique metabolic landscape of CRC makes it an ideal model in which to dissect the pathological roles of lactylation regulatory networks: microsatellite-stable (MSS) CRC, which accounts for approximately 85% of cases, concurrently upregulates glycolysis and oxidative phosphorylation, engaging in intense metabolic competition with immune cells; the intratumoral lactate pool exhibits a distinctive “dual-source supply” feature—in addition to tumor-intrinsic glycolysis, substantial exogenous lactate is provided by gut microbiota dysbiosis and by colonizing bacteria within liver metastases; high-frequency oncogenic mutations and lactylation modifications establish a feed-forward circuit of “oncogene-driven lactate accumulation-lactylation-facilitated tumor progression”. Moreover, MSS CRC displays near-complete unresponsiveness to immune checkpoint inhibitors, a phenomenon underpinned by multiple immune evasion mechanisms mediated by lactate and lactylation. Lactate metabolism is a hallmark of metabolic reprogramming in cancer. Lactate homeostasis provides tumor cells with metabolic substrates, modulates redox status, and regulates fatty acid metabolism to promote malignant progression. Notably, lactate can drive lactylation—an emerging post-translational modification (PTM) in which lactyl groups are attached to lysine residues, dynamically governing gene transcription and protein function and thereby establishing a bridge between metabolism and epigenetics. Lactate and lactylation form a multidimensional, coordinated network: lactylation of key metabolic enzymes such as LDHA reinforces a positive feedback loop that sustains lactate production; lactylation of upstream transcription factors such as HIF-1α drives metabolic reprogramming; furthermore, lactylation engages in crosstalk with m6A and m5C RNA modifications as well as with other PTMs such as acetylation, profoundly reshaping cellular behavior. In CRC, histone lactylation drives malignant phenotypes by activating immunosuppressive programs, inhibiting ferroptosis, and promoting invasion and migration; non-histone lactylation accelerates translation elongation, stabilizes β‑catenin, maintains redox homeostasis, and prevents PD-L1 degradation, thereby facilitating tumor progression. Lactylation-related gene signatures have demonstrated potential for prognostic stratification. Therapeutic strategies targeting the lactylation network range from upstream metabolic intervention to modulation of the modifying enzymes and direct blockade of lactylation modifications, forming a hierarchical interventional framework. However, current evidence derives predominantly from cell lines and xenograft models, and a causal relationship between lactylation and malignant progression in CRC has yet to be rigorously established. Whether inhibition of lactylation can alter CRC phenotypes independently of metabolic alterations and acetylation fluctuations remains a central unanswered question in the field. This review systematically examines the research progress and translational challenges surrounding lactylation regulatory networks, aiming to provide a circumspect assessment to inform the development of novel therapeutic strategies for CRC.

ObjectiveTo evaluate the larvicidal effect of ultrasonic waves against Aedes albopictus larvae at various exposure parameters (distance and time), and to preliminarily investigate the effects of different containers (water volume and depth) and ultrasonic devices on the larvicidal efficacy, so as to provide experimental evidence for the application of ultrasound-based mosquito control technology. MethodsUnder controlled laboratory conditions, two commercially available ultrasonic devices [40 kHz/300 W and (50±5) kHz/70 W] were used to systematically examine the effects of exposure distance (20, 40, 60, 80, and 100 cm), exposure duration (1, 3, 6, 15 and 60 min), larval instar(Ⅰ‒Ⅱ and Ⅲ‒Ⅳ）, and container type on the immediate mortality of Aedes albopictus larvae collected from urban areas of Shanghai. Statistical analysis of the mortality rates of larvae among different experimental groups was performed using the chi-square test. ResultsUltrasonic exposure exerted a detectable larvicidal effect against Aedes albopictus larvae of all instars. For early-instar larvae, exposure time significantly affected mortality at all tested distances (20, 40, 60, 80 and 100 cm), with χ² values ranging from 25.57 to 32.74 ( all P<0.001). No significant distance effect was observed in the first and second instar larvae after short-term exposure (1 and 3 min; P>0.05). However, a distance-dependent effect emerged from 6 min onward (P<0.05). During short-term exposure (1 min and 3 min) at close range (20 cm and 40 cm), the immediate mortality of the third and fourth instar larvae was higher than that of the first and second instar larvae. Conversely, during prolonged exposure (15 min and 60 min), the first and second instar larvae exhibited significantly higher mortality than that of the third and fourth instar larvae. These results indicated that larval mortality was jointly influenced by exposure duration and distance. Preliminary experiments indicated that larvicidal efficacy in shallow water was lower than that in deep water. No significant difference in larvicidal effect was observed between the two ultrasonic devices with different frequencies and power outputs. ConclusionUnder laboratory conditions, ultrasound can effectively kill Aedes albopictus larvae, and the larvicidal effect is jointly influenced by larval instar, exposure distance, and aquatic environment. Compact ultrasonic devices show potential for field application in biological mosquito control.

Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that severely affects the health of the elderly, marked by its incurability, high prevalence, and extended latency period. The current approach to AD prevention and treatment emphasizes early detection and intervention, particularly during the pre-AD stage of mild cognitive impairment (MCI), which provides an optimal “window of opportunity” for intervention. Clinical detection methods for MCI, such as cerebrospinal fluid monitoring, genetic testing, and imaging diagnostics, are invasive and costly, limiting their broad clinical application. Speech, as a vital cognitive output, offers a new perspective and tool for computer-assisted analysis and screening of cognitive decline. This is because elderly individuals with cognitive decline exhibit distinct characteristics in semantic and audio information, such as reduced lexical richness, decreased speech coherence and conciseness, and declines in speech rate, voice rhythm, and hesitation rates. The objective presence of these semantic and audio characteristics lays the groundwork for computer-based screening of cognitive decline. Speech information is primarily sourced from databases or collected through tasks involving spontaneous speech, semantic fluency, and reading, followed by analysis using computer models. Spontaneous language tasks include dialogues/interviews, event descriptions, narrative recall, and picture descriptions. Semantic fluency tasks assess controlled retrieval of vocabulary items, requiring participants to extract information at the word level during lexical search. Reading tasks involve participants reading a passage aloud. Summarizing past research, the speech characteristics of the elderly can be divided into two major categories: semantic information and audio information. Semantic information focuses on the meaning of speech across different tasks, highlighting differences in vocabulary and text content in cognitive impairment. Overall, discourse pragmatic disorders in AD can be studied along three dimensions: cohesion, coherence, and conciseness. Cohesion mainly examines the use of vocabulary by participants, with a reduction in the use of nouns, pronouns, verbs, and adjectives in AD patients. Coherence assesses the ability of participants to maintain topics, with a decrease in the number of subordinate clauses in AD patients. Conciseness evaluates the information density of participants, with AD patients producing shorter texts with less information compared to normal elderly individuals. Audio information focuses on acoustic features that are difficult for the human ear to detect. There is a significant degradation in temporal parameters in the later stages of cognitive impairment; AD patients require more time to read the same paragraph, have longer vocalization times, and produce more pauses or silent parts in their spontaneous speech signals compared to normal individuals. Researchers have extracted audio and speech features, developing independent systems for each set of features, achieving an accuracy rate of 82% for both, which increases to 86% when both types of features are combined, demonstrating the advantage of integrating audio and speech information. Currently, deep learning and machine learning are the main methods used for information analysis. The overall diagnostic accuracy rate for AD exceeds 80%, and the diagnostic accuracy rate for MCI also exceeds 80%, indicating significant potential. Deep learning techniques require substantial data support, necessitating future expansion of database scale and continuous algorithm upgrades to transition from laboratory research to practical product implementation.

Objective:To investigate the effect of different programmed death receptor 1 (PD-1)/programmed death receptor ligand 1 (PD-L1) inhibitors combined with chemotherapy in the first-line treatment of extensive-stage small cell lung cancer (ES-SCLC).Methods:All randomized controlled trials (RCT) of PD-1/PD-L1 inhibitors for the first-line treatment of ES-SCLC from the establishment of the database to March 2025 were searched in CNKI database, Wanfang database, VIP Chinese Science and Technology Journal database, China Biomedical Literature Service System, PubMed database, Cochrane Library database and Embase database. Literatures were screened according to inclusion and exclusion criteria, and data were extracted. A network meta-analysis was performed using R 4.3.1 software to analyze the survival and safety of patients with ES-SCLC treated with PD-1/PD-L1 inhibitors combined with chemotherapy and chemotherapy±placebo first-line treatment.Results:A total of 8 RCT involving 3 832 patients with ES-SCLC were included in this analysis. PD-1/PD-L1 inhibitors included pembrolizumab, serplulimab, toripalimab, tislelizumab, adebrelimab, durvalumab, atezolizumab and benmelstobart, and benmelstobart combined with anti-vascular targeted drug anlotinib; the chemotherapy regimen was etoposide combined with platinum-based drugs. Except for durvalumab combined with chemotherapy compared with chemotherapy alone, the control group of the rest was chemotherapy combined with placebo. The included study data were complete and the risk of bias was small, and there was no closed loop in the outcome measures, so the consistency model was uniformly used for analysis. The results of network meta-analysis showed that compared with the control group, PD-1/PD-L1 inhibitors combined with chemotherapy benefited the progression-free survival (PFS) of patients (all P < 0.05), among which benmelstobart and anlotinib combined with chemotherapy had the best improvement in PFS ( HR = 0.32, 95% CI: 0.25-0.40, P < 0.05), and this regimen could benefit the PFS of patients more than other PD-1/PD-L1 inhibitors combined with chemotherapy and serplulimab combined with chemotherapy could benefit the PFS of patients more than pembrolizumab, toripalimab, adebrelimab, durvalumab, and atezolizumab combined with chemotherapy (all P < 0.05). The results of network meta-analysis showed that compared with the control group, all PD-1/PD-L1 inhibitors combined with chemotherapy benefited the overall survival (OS) of patients (all P < 0.05), among which benmelstobart and anlotinib combined with chemotherapy had the best improvement in OS ( HR = 0.61, 95% CI: 0.47-0.79, P < 0.05), but there was no statistically significant difference in OS benefit between each PD-1/PD-L1 inhibitor combined with chemotherapy (all P > 0.05). Ranking of the efficacy of all interventions, the P-scores for PFS and OS were the highest for benmelstobart and anlotinib combined with chemotherapy, which were 0.99 and 0.89, respectively. The results of the network meta-analysis showed that, except for the higher risk of ≥ grade 3 adverse reactions in benmelstobart and anlotinib combined with chemotherapy group compared to the control group ( OR = 2.01, 95% CI: 1.09-3.73, P < 0.05), there was no statistically significant difference in the risk of ≥ grade 3 adverse reactions between the other PD-1/PD-L1 inhibitors combined with chemotherapy group and the control group, or between all PD-1/PD-L1 inhibitors combined with chemotherapy groups (all P > 0.05). Among all PD-1/PD-L1 inhibitors combined with chemotherapy regimens, the tislelizumab combined with chemotherapy regimen had the lowest incidence of ≥grade 3 adverse reactions, with a P-score of 0.70. Conclusions:For the first-line treatment of ES-SCLC patients, the combination of PD-1/PD-L1 inhibitors and chemotherapy regimen has better survival benefits than chemotherapy regimen. Among them, compared with other PD-1/PD-L1 inhibitors, benmelstobart and anlotinib may benefit patients' survival more, but its related adverse reactions should be noted.

Objective To investigate the effect of early use of ivabradine on cardiac function in patients with acute myocardial infarction(AMI)after percutaneous coronary intervention(PCI).Methods Eighty patients with AMI who were hospitalized in our hospital from Feb.2020 to May 2021 were enrolled,and were randomly assigned to ivabradine group or control group(1∶1).All patients were successfully treated with emergency PCI,and the ivabradine group was treated with ivabradine combined with metoprolol after PCI,while the control group was treated with metoprolol only.Both groups were followed up for 1 year.Echocardiography-derived parameters,heart rate and myocardial markers were analyzed.Results The left ventricular ejection fraction was significantly higher in the ivabradine group than in the control group at 1 week,3 months,and 1 year after PCI(all P＜0.05).The heart rate of the ivabradine group was significantly lower than that of the control group at 1 week after PCI(P＜0.05),while there was no significant difference in heart rates between the 2 groups at 3 months or 1 year after PCI(both P＞0.05).The brain natriuretic peptide of the ivabradine group was significantly lower than that of the control group on day 2 and day 3 after PCI(both P＜0.05).The troponin Ⅰ level of the ivabradine group was significantly lower than that of the control group on day 5 after PCI(P＜0.05).Conclusion Early use of ivabradine in patients with AMI after PCI can achieve effective heart rate control,reduce myocardial injury and improve cardiac function.

Objective To investigate the protective effect of paravertebral nerve block combined with general anesthesia on liver injury after laparoscopic hepatectomy(LH).Methods A randomized controlled trial was conducted on 51 patients undergoing LH in our hospital between April and August 2024.They were randomly divided into control group(n=25,general anesthesia)and paravertebral block group(n=26,paravertebral nerve block before general anesthesia induction).Beside anesthesia,they received same other medical treatment.The following indicators were compared between the 2 groups,that is,serum levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TBIL)and albumin(ALB),and systemic-immune inflammation(SII)index within 7 d before and on the 1st and 2nd days after surgery;heart rate and mean arterial pressure(MAP)before anesthesia induction(T1),before pneumoperitoneum establishment(T2),pneumoperitoneum establishment(T3),and at the first hilar occlusion(T4);usages of intraoperative norepinephrine,sevoflurane,and analgesic drugs 24 h postoperatively;as well as operation time,extubation time,and lengths of postanesthesia care unit(PACU)stay and hospital stay.Results The paravertebral block group had significantly lower ALT on the 1st day after surgery[178.40(126.55,325.86)vs 292.20(197.20,468.95)U/L],SII on the 2nd day after surgery[704.13(486.61,1 078.59)vs 1 075.09(753.80,1 614.38)],and amount of analgesic drugs in 24 h after surgery[29.70(27.37,32.07)vs 31.99(28.92,40.81)mg],and decreased MAP level at T3 and T4,early extubation,and shorter lengths of PACU stay and hospital stay when compared with the control group(all P<0.05).Conclusion Paravertebral nerve block combined with general anesthesia can reduce inflammatory responses,relieve postoperative pain,stabilize hemodynamics for patients undergoing LH,and thereby alleviate postoperative liver injury in them.