Background Meteorological factors are among the key extrinsic triggers for the onset and exacerbation of cardiovascular and cerebrovascular diseases (CVD). Against the backdrop of sustained global warming, elucidating the impact of ambient temperature and atmospheric pressure on CVD, especially on pre-hospital CVD emergent events, has become imperative for evidence-based prevention and emergency preparedness. Objective To quantify the temporal trends of daily mean temperature and atmospheric pressure and their associations with pre-hospital CVD emergent events in Yantai, and to explore effect modification by demographic subgroups and geographic areas, thereby providing an empirical basis for the rational allocation of emergency medical resources. Methods Pre-hospital CVD emergency data from January 1, 2016 to December 31, 2022 were selected from the Yantai 120 Emergency Medical Command System. Synchronous meteorological factors and environmental pollutant data were obtained from the websites of the National Oceanic and Atmospheric Administration and the National Centers for Environmental Information of the United States. Time-series analysis combined with distributed lag non-linear model was used to analyze the association between daily temperature, atmospheric pressure, and pre-hospital CVD emergencies. Average annual percentage changes (AAPC) were calculated using Joinpoint (version 5.2.0.0) to reflect temporal trends. Spearman correlation analysis was employed to screen variables with low collinearity for inclusion in the multi-pollutant adjusted models. Results From 2016 to 2022, a total of 268275 pre-hospital CVD emergency cases were recorded in Yantai City, showing an increasing annual trend (AAPC=7.16%, P=0.002). Emergency volume, daily temperature, atmospheric pressure, and PM₁₀ displayed marked seasonal patterns, with summer bottoms and winter peaks for emergencies, daily temperature higher in summer and lower in winter, and the inverse for atmospheric pressure. Correlation analysis showed that both daily temperature and atmospheric pressure were positively correlated with O₃, with correlation coefficients of 0.745 and 0.723, respectively; negatively correlated with PM_2.5, with correlation coefficients of −0.246 and −0.235, respectively; and negatively correlated with PM₁₀, with correlation coefficients of −0.241 and −0.229, respectively (P < 0.05). A U-shaped correlation was revealed between daily temperature and pre-hospital CVD emergency risk. Using 24 °C as the reference, risk was elevated at both low and high daily temperatures, with the strongest cold effect at –11 ℃ (RR=1.53, 95%CI: 1.35, 1.73) and strongest heat effect at 30 ℃ (RR=1.06, 95%CI: 1.01, 1.11); cold effects were prolonged (lag0–14d) compared to heat effects. Atmospheric pressure exhibited a positive association with emergencies; using a median of 1012.2 hPa as the reference, the maximum risk occurred at 1037 hPa (RR=1.25, 95%CI: 1.03, 1.52), with a 0–5 d lag. In the subgroup analysis, the impact of low temperature was more pronounced among females (RR_{−9 ℃}=1.66), people over 60 years (RR_{−9 ℃}=1.91), and rural residents (RR_{−9 ℃}=1.76). High atmospheric pressure significantly increased the risk of pre-hospital CVD emergency among females (RR_{1035 hPa}=1.54), people under 18 years (RR_{1035 hPa}=3.62), and rural residents (RR_{1035 hPa}=1.46). The sensitivity analysis results indicated that, after excluding the impact of pandemic and the degrees of freedom for time variations, the effects of daily average temperature and atmospheric pressure on pre-hospital CVD emergency volume were consistent with the primary analysis findings. Conclusion Both non-optimal temperature and atmospheric pressure significantly increase the pre-hospital CVD emergency volume; therefore, emergency medical services should develop targeted response protocols, optimize resource allocation, and intensify public health education to mitigate the pre-hospital burden attributable to temperature and pressure fluctuations.

By analyzing the current status of randomized controlled trials （RCTs） on functional dyspepsia （FD） and irritable bowel syndrome （IBS） comorbidity， we identified several critical issues which include insufficient repor-ting of FD and IBS subtypes， inadequate risk assessment of drug combination， lack of composite， objective， and long-term outcomes， and weak evidence support for clinical practice guidelines. It is suggested that future clinical research on FD-IBS comorbidity should further strengthen the application of real-world studies. The use of composite outcomes and long-term follow-up is recommended to improve the quality of evidence， while greater attention should be paid to patients' preferences and self-management to enhance the applicability of findings. Based on the existing issues in clinical studies of traditional Chinese medicine （TCM） for FD-IBS comorbidity， we propose to consolidate the foundation of TCM-specific efficacy evaluation to better reflect the advantages of syndrome differentiation and treatment， optimize real-world study designs to better support clinical decision- making， and introduce intelligent objective evaluation technologies to improve the objectivity and accuracy of TCM clinical efficacy assessment.

By analyzing the current status of randomized controlled trials （RCTs） on functional dyspepsia （FD） and irritable bowel syndrome （IBS） comorbidity， we identified several critical issues which include insufficient repor-ting of FD and IBS subtypes， inadequate risk assessment of drug combination， lack of composite， objective， and long-term outcomes， and weak evidence support for clinical practice guidelines. It is suggested that future clinical research on FD-IBS comorbidity should further strengthen the application of real-world studies. The use of composite outcomes and long-term follow-up is recommended to improve the quality of evidence， while greater attention should be paid to patients' preferences and self-management to enhance the applicability of findings. Based on the existing issues in clinical studies of traditional Chinese medicine （TCM） for FD-IBS comorbidity， we propose to consolidate the foundation of TCM-specific efficacy evaluation to better reflect the advantages of syndrome differentiation and treatment， optimize real-world study designs to better support clinical decision- making， and introduce intelligent objective evaluation technologies to improve the objectivity and accuracy of TCM clinical efficacy assessment.

AIM: To investigate the distribution characteristics of pathogens in patients with post-traumatic infectious endophthalmitis(PTIE)and their relationship with serum levels of macrophage inflammatory protein 1α(MIP-1α), heat shock protein 70(HSP70), and soluble triggering receptor expressed on myeloid cells 1(sTREM-1).METHODS:A total of 157 patients with PTIE from the Handan City Eye Hospital(The Third Hospital of Handan)from May 2023 to May 2025 were selected as the study group. They were divided into a good prognosis group and a poor prognosis group based on their uncorrected visual acuity at discharge. Meanwhile, 157 patients with ocular trauma but without endophthalmitis during the same period were selected as control group 1, and 157 healthy volunteers who underwent physical examinations during the same period were selected as control group 2. Aqueous humor and vitreous fluid samples were collected from the study group to detect the distribution of pathogens. The levels of serum MIP-1α, HSP70, and sTREM-1 were measured using the enzyme-linked immunosorbent assay. Multivariate Logistic regression analysis was performed to identify risk factors for poor prognosis. The predictive value of serum MIP-1α, HSP70, and sTREM-1 levels for poor prognosis was evaluated using receiver operating characteristic(ROC)and decision curve analysis(DCA).RESULTS: The general data of the participants in the three groups was comparable. A total of 173 pathogens were detected in the 157 patients with PTIE, with Gram-positive bacteria being the predominant type. The levels of serum MIP-1α and sTREM-1 in the study group were higher than those in control groups 1 and 2, while the level of HSP70 was lower than those in control groups 1 and 2(all P<0.05). There were no significant differences in the levels of serum MIP-1α, HSP70, and sTREM-1 between control groups 1 and 2(all P>0.05). In the poor prognosis group, the time of wound suture was ≥24 h, the wound location was in zones II/III, the type of trauma was rupture, the proportion of rupture injuries, and the levels of serum C-reactive protein, MIP-1α, and sTREM-1 were higher than those in the good prognosis group, while the level of HSP70 was decreased(all P<0.001). Multivariate Logistic regression analysis showed that the time of wound suture, wound location, type of trauma, C-reactive protein, MIP-1α, HSP70, and sTREM-1 were risk factors for poor visual prognosis in patients with PTIE(all P<0.05). The ROC curve results showed that the combined prediction of serum MIP-1α, HSP70, and sTREM-1 for poor visual prognosis in PTIE patients had an AUC value of 0.965, which was significantly higher than that of individual predictions(ZMIP-1α, ZHSP70, ZsTREM-1=3.628, 4.705, 3.930, all P<0.05). Additionally, the DCA curve showed that the combined prediction had a higher net benefit rate than individual predictions in the high-risk threshold range of 0.03-0.97.CONCLUSION:Gram-positive bacteria are the predominant type of pathogenic bacteria in patients with PTIE, with elevated levels of serum MIP-1α and sTREM-1 and decreased levels of HSP70. The combined detection of these three factors has a high predictive efficacy for visual prognosis in patients.

OBJECTIVE To construct a predictive model for evaluating the efficacy of a triple antiemetic regimen （neurokinin- 1 receptor antagonist+5-hydroxytryptamine 3 receptor antagonist+dexamethasone） for preventing nausea and vomiting induced by highly emetogenic chemotherapy （HEC） based on interpretable deep learning algorithms. METHODS Clinical data of cancer patients who received HEC and were treated with the standard triple antiemetic regimen in the oncology department of Tianjin Medical University General Hospital from January 2018 to December 2022 were collected retrospectively. Demographic， clinical and metabolism-related variables were integrated. After data pre-processing， two deep learning algorithms （deep random forest and dense neural network） and four machine learning algorithms （support vector machine， categorical boosting， random forest and decision tree） were used to build predictive models. Subsequently， model performance evaluation and model interpretability analysis were conducted. RESULTS Among the six candidate models， the deep random forest model demonstrated the best predictive performance on the test set， with an area under the receiver operating characteristic curve of 0.850， an accuracy of 0.911， a precision of 0.805， a recall of 0.783， an F1 score of 0.793， and a Brier score of 0.075. Interpretability analysis revealed that creatinine clearance rate （Ccr） was the key predictive factor， and low Ccr levels， female gender， younger age， highly emetogenic drugs （particularly cisplatin-containing chemotherapy regimens）， and anticipatory nausea and vomiting were positively correlated with the risk of HEC-related nausea and vomiting. CONCLUSIONS The deep random forest model exhibits the best performance in predicting the efficacy of triple antiemetic regimen for preventing HEC-related nausea and vomiting. The key predictors in this model primarily include Ccr，anticipatory nausea and vomiting， gender， age， and highly emetogenic drugs.

At present, the treatment of sepsis depends largely on non-specific methods, highlighting an urgent need for novel therapeutic strategies. Stem cells have garnered significant attention in the treatment of various diseases due to their unique biological properties. Stem cells enhance sepsis survival through mechanisms such as reducing bacterial burden, modulating inflammation, and ameliorating organ dysfunction. Recent studies have shown that stem cells can increase the survival rate of sepsis patients through multiple pathways such as reducing the bacterial load of the host, regulating inflammatory homeostasis, and improving multi-organ dysfunction. Their derivatives, exosomes, can also alleviate the imbalanced immune response in sepsis patients. Recent advances in stem cell-based therapies for sepsis were summarized in this paper.

Objective: To analyze the nucleic acid load of human parvovirus B19 in major commercially available blood products in China, including human albumin, human intravenous immunoglobulin, human rabies immunoglobulin and various coagulation factor products, aiming to provide evidence for improving blood product manufacturing processes and quality control of source plasma. Methods: A total of 98 batches of coagulation factor products were tested for human parvovirus B19 nucleic acid using real-time fluorescent quantitative PCR, including 42 batches of human prothrombin complex, 35 batches of human coagulation factor Ⅷ, and 21 batches of human fibrinogen. Additionally, 6 batches of human albumin, 6 batches of human intravenous immunoglobulin, and 38 batches of human rabies immunoglobulin were tested for human parvovirus B19 nucleic acid. Results: Human parvovirus B19 nucleic acid were undetectable in human albumin, human intravenous immunoglobulin and human rabies immunoglobulin. Among the 98 batches of coagulation factor products tested for human parvovirus B19 nucleic acid, B19 nucleic acid reactivity rate was 69.0% (29/42) for human prothrombin complex batches, but nucleic acid concentration were all significantly lower than 10 IU/mL. The reactivity rate of B19 nucleic acid in 35 batches of human coagulation factor Ⅷ was 48.6% (17/35), with nucleic acid concentration all below 10 IU/mL. The reactivity rate of B19 nucleic acid in 21 batches of human fibrinogen was 61.9% (13/21), with nucleic acid concentration all below 10 IU/mL. Conclusion: No human parvovirus B19 has been detected in human albumin, human intravenous immunoglobulin, or human rabies immunoglobulin. Human parvovirus B19 nucleic acid may exist in commercially available coagulation factor products, highlighting the need for enhanced screening of human parvovirus B19 nucleic acid in these products. It is also recommended that B19 viral nucleic acid testing be conducted on source plasma, particularly for coagulation factor products.

Objective: To analyze the nucleic acid load of human parvovirus B19 in major commercially available blood products in China, including human albumin, human intravenous immunoglobulin, human rabies immunoglobulin and various coagulation factor products, aiming to provide evidence for improving blood product manufacturing processes and quality control of source plasma. Methods: A total of 98 batches of coagulation factor products were tested for human parvovirus B19 nucleic acid using real-time fluorescent quantitative PCR, including 42 batches of human prothrombin complex, 35 batches of human coagulation factor Ⅷ, and 21 batches of human fibrinogen. Additionally, 6 batches of human albumin, 6 batches of human intravenous immunoglobulin, and 38 batches of human rabies immunoglobulin were tested for human parvovirus B19 nucleic acid. Results: Human parvovirus B19 nucleic acid were undetectable in human albumin, human intravenous immunoglobulin and human rabies immunoglobulin. Among the 98 batches of coagulation factor products tested for human parvovirus B19 nucleic acid, B19 nucleic acid reactivity rate was 69.0% (29/42) for human prothrombin complex batches, but nucleic acid concentration were all significantly lower than 10 IU/mL. The reactivity rate of B19 nucleic acid in 35 batches of human coagulation factor Ⅷ was 48.6% (17/35), with nucleic acid concentration all below 10 IU/mL. The reactivity rate of B19 nucleic acid in 21 batches of human fibrinogen was 61.9% (13/21), with nucleic acid concentration all below 10 IU/mL. Conclusion: No human parvovirus B19 has been detected in human albumin, human intravenous immunoglobulin, or human rabies immunoglobulin. Human parvovirus B19 nucleic acid may exist in commercially available coagulation factor products, highlighting the need for enhanced screening of human parvovirus B19 nucleic acid in these products. It is also recommended that B19 viral nucleic acid testing be conducted on source plasma, particularly for coagulation factor products.

BackgroundExecutive function deficits constitute a core problem in attention-deficit/hyperactivity disorder （ADHD）. Previous assessments of executive function in children with ADHD have predominantly relied on performance-based neuropsychological tests conducted in laboratory settings， though their predictive validity for real-world functional outcomes remains limited. In contrast， ecological executive function emphasizes the evaluation of complex task management in naturalistic contexts， demonstrating a stronger predictive power for functional adaptation in daily living among children with ADHD， such as multitasking performance， social interactions and so on. However， current empirical evidence regarding ecological executive function in this population remains insufficient. ObjectiveTo investigate the executive function characteristics of children with ADHD from an ecological perspective， thereby providing references for developing targeted interventions. MethodsA case control study was conducted， including 277 ADHD children who met the Diagnostic and Statistical Manual of Mental Disorders， fourth edition （DSM-IV） criteria and were selected at the Child Health Care and Mental Health Center of Shenzhen Children's Hospital from June 2017 to December 2020， as well as 98 healthy controls were recruited from primary and secondary schools in Shenzhen. All participants were assessed using Wechsler Intelligence Scale for Children， fourth edition （WISC-IV） and Behavior Rating Inventory of Executive Function （BRIEF）. Differences in WISC-IV and BRIEF scores were compared between ADHD group and control groups， followed by the comparison of BRIEF scores by gender and ADHD subtypes. ResultsAmong the 277 children with ADHD， 136 cases （49.10%） had predominantly inattentive type （ADHD-I）， 6 cases （2.17%） had predominantly hyperactive-impulsive type （ADHD-HI）， and 135 cases （48.73%） had combined type （ADHD-C）. ADHD group demonstrated significantly lower scores on both the WISC-IV total IQ and four index scores （verbal comprehension， perceptual reasoning， working memory and processing speed） than control group （t=3.698~9.335， P<0.01）. After controlling for WISC-IV total IQ as a covariate， the scores of each factor in the dimensions of behavioral regulation index （inhibition， shifting， emotional control） and metacognition index （task initiation， working memory， planning， monitoring and organization） were all higher in ADHD group than in control group， and the differences were statistically significant （F=46.563~290.475， P<0.01）. In terms of gender， no statistically significant difference was found in BRIEF composite scores （behavioral regulation index or metacognition index） of children with ADHD （t=0.105~1.190， P>0.05）. In terms of ADHD subtypes， children with ADHD-C reported significantly higher scores than those with ADHD-I on the scores of inhibition， emotional control， organization and monitoring in BRIEF （t=2.481~7.343， P<0.05 or 0.01）. ConclusionChildren with ADHD have multidimensional deficits in ecological executive function， which vary across different subtypes. ［Funded by Shenzhen Excellent Science and Technology Innovation Talent Training Project （number， RCYX20221008092849069）； the Sanming Project of Medicine in Shenzhen］

OBJECTIVE To investigate the improvement effects and mechanism of Zhichi suanzaoren decoction （ZSD） on hippocampal oxidative stress injury in hippocampal neurons of mice with perimenopausal insomnia. METHODS The potential targets of active ingredients in ZSD were predicted using TCMSP and TCMIP databases； the targets related to insomnia were searched through GeneCards， OMIM and DisGeNET databases； protein-protein interaction network of intersecting targets of ZSD ingredients and insomnia was constructed； Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were conducted on key targets. Sixty mice were divided into sham operation group， model group， ZSD low-， medium-， and high-dose groups （11， 22， and 33 g/kg）， and eszopiclone group （positive control， 1 mg/kg）. Except for sham operation group， the perimenopausal insomnia model was constructed by ovariectomy （OVX） in the other groups. After successful modeling， mice in each group were gavaged with normal saline or the corresponding drug solution， once a day， for three consecutive weeks. The sleep status of mice was evaluated through the pentobarbital sodium sleep synergy experiment， and the pathological changes of hippocampal neurons and the expressions of related genes and proteins in mice were observed by HE staining， immunohistochemistry staining， immunofluorescence staining， transcriptome sequencing technology and Western blot. RESULTS The results of network pharmacology showed that there were 296 intersection targets between ZSD and perimenopausal insomnia. Protein kinase B1 （Akt1） was a key target for treating insomnia with ZSD. After administration of ZSD， the sleep latency of mice was shortened， the sleep duration was prolonged significantly， and the mean optical density value of neuron-specific nuclear protein in the hippocampal CA1 region was significantly increased （P＜0.01）. Additionally， hippocampal neuron damage in OVX mice was significantly alleviated. The results of transcriptome sequencing showed that ZSD significantly upregulated the transcriptional levels of Nfe2l2 gene in hippocampal tissue of OVX mice （P＜0.05）. After administration of ZSD， protein expressions of nuclear factor E2 related factor 2 （Nrf2） and heme oxygenase-1 （HO-1） in hippocampal tissue of OVX mice， as well as the phosphorylated Akt level， were increased significantly （P＜0.01）. CONCLUSIONS ZSD can ameliorate hippocampal oxidative stress injury of hippocampal neurons in perimenopausal insomnia mice by activating the Akt/Nrf2/HO-1 signaling pathway.