Background In the context of climate change, the health burden associated with non-optimal temperature is becoming increasingly substantial. Emergency ambulance calls (EACs) are a sensitive indicator of acute health effects. However, most previous studies have relied on daily mean temperature (MT) or a single thermal stress indicator, and it remains unclear whether different temperature indicators yield materially different estimates of the health burden attributable to non-optimal temperature. Objective To compare multiple temperature indicators in evaluating the attributable burden of EACs associated with non-optimal temperature in Dezhou City, Shandong Province. Methods Daily EACs records and corresponding meteorological data in Dezhou from 2014 to 2023 were collected. A time-stratified case-crossover design with conditional logistic regression, combined with distributed lag non-linear models (DLNM), was employed to examine the exposure-response relationships and population attributable burden of EACs associated with the percentiles of daily MT and 12 commonly used thermal stress indicators. Results During the study period, a total of 952989 EACs were recorded in Dezhou. For all temperature indicators, the cumulative exposure-response curves showed a V-shaped pattern. Among the attributable fraction (AF) estimates, only those derived from the universal thermal climate index for outdoor shaded space (UTCI3) and wet-bulb temperature (WBT) were significantly lower than the estimates based on MT (P < 0.05); no statistically significant differences were observed for the other indicators. The AF based on MT was 5.24% (95%CI: 4.34%, 6.16%), and the attributable burden was mainly driven by cold temperatures (AF=3.57%, 95%CI: 2.65%, 4.48%). Spatially, high heat-attributable EACs rates per 1000 population were primarily concentrated in the central and southern Dezhou, whereas areas with high cold-attributable EACs rates were more dispersed. The overall spatial pattern of EACs attributable to non-optimum temperatures was more consistent with the distribution of cold-related risks. Subgroup analysis showed that, across susceptible population groups, the AF estimates derived from most thermal stress indicators did not differ significantly from those based on MT. Conclusion In Dezhou, most thermal stress indicators produce attributable burden estimates for EACs associated with non-optimal temperature that are similar to those based on daily MT, and cold temperatures contribute more to the overall attributable burden. The spatial distribution of EACs attributable to non-optimal temperature is dispersed, whereas heat-attributable hotspots are concentrated in central and southern Dezhou.

Objective:To investigate the impact of the number of examined lymph nodes (ELN) on survival outcomes in gastric cancer patients with postoperative pathological stage pN3b.Methods:This retrospective cohort study included 279 pN3b gastric cancer patients who underwent D2 gastrectomy at Nanfang Hospital, Southern Medical University (September 2008 to April 2023), with 35 patients receiving combination chemotherapy and anti-PD-1 therapy (immunotherapy group) and 244 receiving adjuvant chemotherapy alone (nonimmunotherapy group). Additionally, 422 patients with pN3b from the SEER database (2005 to 2020) were collected as an external validation cohort to determine the optimal cutoff value for the number of lymph nodes examined in the nonimmunotherapy group. The primary endpoints were overall survival (OS) and recurrence-free survival (RFS) in the nonimmunotherapy group of the Nanfang Hospital cohort, stratified by whether the number of examined lymph nodes was above or below the ELN optimal cutoff value. These findings were subsequently validated in the SEER cohort.Results:The optimal ELN cutoff value (34 nodes) was determined using X-tile software and by constructing an ELN-HR fitting model with inflection point identification. In the nonimmunotherapy group, patients with ELN >34 exhibited significantly prolonged survival compared to ELN ≤34 (median OS: 25.0 (95%CI:20.5-29.5) to 17.0 (95%CI:12.7-21.3) months, P=0.004; median RFS: 19.0 (95%CI:15.6-22.4) to 13.0 (95%CI:9.5-16.5) months, P=0.048). Multivariate Cox analysis also showed ELN >34 to be an independent protective factor for both OS (HR=0.576, 95%CI: 0.397-0.836) and RFS (HR=0.701, 95%CI: 0.492-0.998). In the SEER cohort, ELN >34 was associated with a 5-month OS extension (19 to 14 months, P=0.065), with multivariate analysis supporting its independent prognostic significance (HR=0.729, 95%CI: 0.580-0.915, P=0.006). Notably, in the immunotherapy group, patients with ELN >34 ( n=30) achieved a median OS of 41 months, but the median OS had not been reached in the ELN ≤34 group ( n=5) (1 death at 48 months). Conclusion:Higher ELN (>34) correlates with improved survival in nonimmunotherapy-treated pN3b gastric cancer patients. However, in pN3b gastric cancer patients treated with immunotherapy, the optimal ELN threshold requires further exploration to determine.

Objective:To investigate the role of YTHDF2 in cervical lesions and its potential molecular mechanism.Methods:Gene expression data of cervical tissue were obtained from the GEO database to analyze the expression of YTHDF2 mRNA and perform pathway enrichment analysis. Patients with cervical lesions diagnosed by thinprep cytologic test in Gynecological Outpatient Department of Maternal and Child Health Hospital in Jiexiu, Shanxi Province, were selected as the research subjects. Data of cervical lesions and cervical exfoliated cells were collected. HPV infection status was detected by flow-through hybridization, and the expression of YTHDF2 mRNA was detected by reverse transcription real-time polymerase chain reaction. The expression of YTHDF2 in cervical lesions and the mediating role of HPV infection in the relationship between YTHDF2 and squamous intraepithelial lesion (SIL) were evaluated. YTHDF2-related genes were screened from multiple datasets in the GEO and ENCORI databases, and their expression, immune infiltration, and survival analysis were performed to assess the association between YTHDF2 and prognosis. Results:Compared with normal cervical tissue, YTHDF2 was highly expressed in cervical lesion tissue ( P<0.05). A total of 3 672 differentially expressed genes were screened from the dataset GSE49339. Gene Ontology analysis showed that YTHDF2 was mainly involved in transcription regulation. Kyoto Encyclopedia of Genes and Genomes analysis showed that YTHDF2 might be related to HPV infection and other signaling pathways. In the mediation analysis, χ2 test results showed that the expression level of YTHDF2 was significantly different among groups ( χ2=22.47, P<0.001). Trend χ2 test further showed that the expression level of YTHDF2 was upregulated with the degree of cervical precancerous lesions (trend χ2=10.26, P=0.001). Multivariate logistic regression analysis indicated that high YTHDF2 expression increased the risk of low-grade squamous intraepithelial lesions ( OR=3.15, 95% CI: 1.93-5.15) and high-grade squamous intraepithelial lesions ( OR=1.85, 95% CI: 1.01-3.39). Mediation effect analysis revealed a partial mediating effect of HPV infection between YTHDF2 and SIL, accounting for 32.02% of the total effect. Twelve YTHDF2 related genes were screened by the intersection of multiple datasets. The immune infiltration analysis results showed that YTHDF2 and related genes KLF4, E2F3 and HOXC6 were associated with immune infiltration (all P<0.05). Multivariate Cox proportional hazard regression model analysis showed that low expression of KLF4 ( HR=0.53, 95% CI: 0.30-0.94) and high expression of RHOB ( HR=1.80, 95% CI: 1.04-3.13) were risk factors for the prognosis of cervical cancer. Conclusion:YTHDF2 is highly expressed in cervical lesions and may have been involved in the regulation of HPV infection-related pathways and its downstream related genes are related to immune infiltration and prognosis of cervical cancer, providing a theoretical basis for the study of mechanisms related to cervical lesions.

Objective This study comprehensively analyzes the current implementation status and influencing factors of the"Administrative Measures for Surplus Drugs of Medical Institutions(Trial)"(referred to as the"Measures"),it helps solve the problems that have long plagued the management of surplus drugs in medical institutions.Methods Based on the framework of Health Policies Triangle,starting from the policy content,and from the perspectives of various actors,a questionnaire was designed from three dimensions:the current implementation status,the implementation effect,and the countermeasures suggestions.The management of surplus drugs in secondary and tertiary medical institutions throughout the province was investigated,then we will analyze the investigation results,evaluate the implementation effectiveness and influencing factors,and propose targeted suggestions.Results 84%of medical institutions have fully or partially implemented the measure,The implementation of the"Measures"has prevented hospitals from being subject to administrative penalties again due to surplus drugs,determined the disposal methods for surplus drugs,promoted the establishment of surplus drug management systems and directories by implementing hospitals,and clarified the varieties of surplus drugs in Shanxi Province.Conclusion The"Method"has significant implementation effects and clarified management provisions and filled the gaps in current management.The problems encountered include:The definition of surplus medicines limits the implementation of the"Measures"in secondary hospitals;The measures to reduce surplus drugs at the source have not been detailed;the awareness of the content of the"Measures"is insufficient;the collaboration among departments is lacking.It is suggested to revise and implement the"Measures"by clarifying the categories of drugs that can be charged by the unit and management rules in Shanxi Province,optimizing the definition of surplus drugs,clarifying the management regulations of each department,refining the informed consent method of patients,expanding the scope of special funds.In addition,the publicity efforts for"Measures"need to be strengthen,in order to further solve the problem of surplus drug management in medical institutions.

Ancient Chinese medicine books are the foundation of traditional Chinese medicine inheritance,innovation,and development,and the vast amount of knowledge they contain is worthy of in-depth mining.However,if researchers only rely on manual sorting,research progress will inevitably be slow.To overcome this,previous studies have attempted to extract knowledge from ancient Chinese medicine books automatically with natural language processing technology,which has made certain progress in the last decade.In this paper,we first introduce the text data-oriented knowledge extraction technology,then review the research progress of existing technologies in the two tasks of entity recognition and entity relationship extraction of ancient Chinese medicine books.Finally,we analyze the shortcomings of this research field and recommend standardizing data annotation,expanding entity categories,and paying attention to procedural knowledge.This review aims to provide a reference for the mining and utilization of ancient traditional Chinese medicine books in the era of artificial intelligence.

Objective In order to provide a better reference and basis for the selection of reasonable hypoglycemic drugs for clinical treatment,the study conducted a comprehensive clinical evaluation of the innovator sodium-glucose transporters 2(SGLT-2)inhibitors,based on A Quick Guideline for Drug Evaluation and Selection in Chinese Medical Institutions(the Second Edition).Methods The real-world studies,randomized controlled trials,Meta-analysis/systematic review,drug clinical use guidelines,expert consensus and drug description evaluation evidence were collected,and the included drugs were assigned and evaluated from five dimensions:pharmaceutical characteristics,efficacy,safety,economy and other attributes.Results All SGLT-2 inhibitors had evaluation scores above 75,with dagaglifloztin tablets having the highest score of 84.6,and canaglifloztin having the lowest score of 75.1.Conclusions All five original SGLT-2 inhibitors showed good clinical utility,the difference is that the participating original drugs have different advantageous intervals in clinical use.The results show that dagliflozin has the most ideal clinical utility,and its clinical use should be safer and more effective.Due to the short time on the market and insufficient evidence-based reasons,the advantages of clinical use of proline hemegliflozin are not obvious compared with other evaluated drugs.

Objective:To develop a simple and effective subretinal injection pipeline system to enhance the accuracy and precision of subretinal injection volume control.Methods:A retrospective case series study. From May to October 2023, 18 patients (18 eyes) with submacular hemorrhage (SMH) who continuously received modified subretinal injection treatment in Department of Ophthalmology of Peking Union Medical College Hospital were included in the study. Among them, there were 10 males and 8 females. The mean age was (60.00±7.41) years. The primary causes included polypoid choroidal vasculopathy (14 cases), retinal macroaneurysm (2 cases), traumatic retinopathy (1 case), and Valsalva retinopathy (1 case). Hemorrhage affected 14 eyes of the fovea centralis. All affected eyes underwent standard three-channel 25G vitrectomy via the flat part of the ciliary body combined with modified subretinal injection of recombinant tissue plasminogen activator. The improved injection system consisted of a 1 ml syringe, a Q-Syte TM connector, a 41G subretinal microinjection needle, a converter and a viscoelastic substance control pipeline. The drug preparation time for subretinal injection (i.e., the time consumed by the system connection step), the injection time, whether bubbles occur during the injection process, and the perioperative complications were recorded and analyzed. Results:The preparation time prior to drug injection ranged from 230 to 335 seconds, while the injection completion time varied between 43 and 75 seconds. Both times decreased progressively as operator proficiency improved. Among the treated eyes, five received a target injection dose of 0.05 ml and thirteen received 0.10 ml, with all eyes achieving the preset dose accurately. No subretinal bubbles were observed during the injection procedure. Additionally, no intraoperative complications such as retinal hemorrhage or tear secondary to mechanical trauma at the injection site were recorded. Postoperatively, one eye developed anterior chamber hemorrhage, which resolved following intraocular pressure-lowering treatment. No other postoperative complications, including hemorrhage, rhegmatogenous retinal detachment, or infection, were observed in the remaining eyes.Conclusion:The retinal drug injection system developed in this study has a simple structure, safe and stable operation, can achieve precise drug injection, and effectively avoid the formation of bubbles.

Objective:To investigate the risk factors of secondary primary cancer (SPC) after cervical cancer and to construct a nomogram model for predicting the prognosis.Methods:The data of 3 790 patients with primary cervical cancer from the 3rd edition of the International Classification of Diseases Oncology (ICD-O-3) number C53.9 between 2000 and 2020 in the Surveillance, Epidemiology and End Results (SEER) database were retrospectively analyzed, and SPC occurred in 2 036 cases out of 3 790 patients. Standardized incidence rate (SIR) of patients with cervical cancer was calculated by using SEER*Stat software; Cox proportional hazards model was used to make the univariate and multivariate analysis on the influencing factors of the overall survival (OS) in patients with SPC after cervical cancer. By using the "rms" package of R software, nomogram models for predicting 1-, 3-, and 5-year OS rates in SPC patients after cervical cancer were constructed based on prognostic independent influencing factors. The prediction efficacy and consistency of the model were verified by using the receiver operating characteristic (ROC) curve and the calibration curve.Results:The cervical cancer patients with the age of diagnosis of 20-34 years old (SIR: 1.76, 95% CI: 1.57-1.98), black race (SIR: 1.75, 95% CI: 1.61-1.90), the interval period of 2 primary tumors: 6-11 months (SIR: 1.69, 95% CI: 1.50-1.90), histologic grade Ⅳ (SIR: 1.62, 95% CI: 1 30-2.00), chemotherapy (SIR: 1.63, 95% CI: 1.56-1.71), radiotherapy (SIR: 1.59, 95% CI: 1.53-1.66), unmarried (SIR: 1.47, 95% CI: 1.41-1.54) had high SIR. Multivariate Cox regression analysis results of 2 036 SPC patients after cervical cancer showed that unmarried, SEER stage of regional lesion phase, distant metastasis phase and unknown, histologic grade of Ⅱ, Ⅲ, Ⅳ and the unknown, unknown lymph node dissection, other sites expert for lymphoma in SPC sites were independent risk factors of OS in SPC patients after cervical cancer (all P < 0.05); receiving surgery for SPC (compared to those not receiving surgery, HR = 0.38, 95% CI: 0.32-0.45, P = 0.001), radiotherapy (compared to those not receiving radiotherapy or unknown, HR = 0.66, 95% CI: 0.56-0.78, P = 0.001), and chemotherapy (compared to those not receiving chemotherapy or unknown, HR = 0.86, 95% CI:0.74-0.99, P = 0.034) were independent protective factors of OS in SPC patients after cervical cancer. The results of Kaplan-Meier survival analysis showed that the differences in the OS of SPC patients after cervical cancer with different marriage status, SEER stage, histologic grade, lymph node dissection, surgery for SPC, primary sites of SPC and whether receiving radiochemotherapy were all statistically significant (all P < 0.001). Based on the 8 variables including marital status, SEER stage, histologic grade, whether lymph nodes have been cleared, whether SPC has been treated with surgery, radiotherapy, chemotherapy, and the primary sites of SPC, a nomogram model for predicting the 1-, 3- and 5-year OS rates of SPC patients after cervical cancer was established. The results of ROC curve analysis showed that the area under the curve of the model for predicting 1-, 3-, and 5-year OS rates was 0.841, 0.847, and 0.847, respectively. The calibration curves showed a good consistency between the predicted results of model and the actual results. Conclusions:A prognostic prediction nomogram model for SPC after cervical cancer constructed based on the data in the SEER database has a high clinical application value and calibration.

Objective:To investigate the role of YTHDF2 in cervical lesions and its potential molecular mechanism.Methods:Gene expression data of cervical tissue were obtained from the GEO database to analyze the expression of YTHDF2 mRNA and perform pathway enrichment analysis. Patients with cervical lesions diagnosed by thinprep cytologic test in Gynecological Outpatient Department of Maternal and Child Health Hospital in Jiexiu, Shanxi Province, were selected as the research subjects. Data of cervical lesions and cervical exfoliated cells were collected. HPV infection status was detected by flow-through hybridization, and the expression of YTHDF2 mRNA was detected by reverse transcription real-time polymerase chain reaction. The expression of YTHDF2 in cervical lesions and the mediating role of HPV infection in the relationship between YTHDF2 and squamous intraepithelial lesion (SIL) were evaluated. YTHDF2-related genes were screened from multiple datasets in the GEO and ENCORI databases, and their expression, immune infiltration, and survival analysis were performed to assess the association between YTHDF2 and prognosis. Results:Compared with normal cervical tissue, YTHDF2 was highly expressed in cervical lesion tissue ( P<0.05). A total of 3 672 differentially expressed genes were screened from the dataset GSE49339. Gene Ontology analysis showed that YTHDF2 was mainly involved in transcription regulation. Kyoto Encyclopedia of Genes and Genomes analysis showed that YTHDF2 might be related to HPV infection and other signaling pathways. In the mediation analysis, χ2 test results showed that the expression level of YTHDF2 was significantly different among groups ( χ2=22.47, P<0.001). Trend χ2 test further showed that the expression level of YTHDF2 was upregulated with the degree of cervical precancerous lesions (trend χ2=10.26, P=0.001). Multivariate logistic regression analysis indicated that high YTHDF2 expression increased the risk of low-grade squamous intraepithelial lesions ( OR=3.15, 95% CI: 1.93-5.15) and high-grade squamous intraepithelial lesions ( OR=1.85, 95% CI: 1.01-3.39). Mediation effect analysis revealed a partial mediating effect of HPV infection between YTHDF2 and SIL, accounting for 32.02% of the total effect. Twelve YTHDF2 related genes were screened by the intersection of multiple datasets. The immune infiltration analysis results showed that YTHDF2 and related genes KLF4, E2F3 and HOXC6 were associated with immune infiltration (all P<0.05). Multivariate Cox proportional hazard regression model analysis showed that low expression of KLF4 ( HR=0.53, 95% CI: 0.30-0.94) and high expression of RHOB ( HR=1.80, 95% CI: 1.04-3.13) were risk factors for the prognosis of cervical cancer. Conclusion:YTHDF2 is highly expressed in cervical lesions and may have been involved in the regulation of HPV infection-related pathways and its downstream related genes are related to immune infiltration and prognosis of cervical cancer, providing a theoretical basis for the study of mechanisms related to cervical lesions.

Objective:To compare the enrichment effects of ultrafiltration, polyethylene glycol (PEG) precipitation, aluminum salt precipitation, and anionic membrane adsorption-elution on viruses in drinking water.Methods:Using phage MS2 as the target virus, three different concentrations of drinking water samples were prepared, and the samples were enriched by ultrafiltration 1, ultrafiltration 2, PEG precipitation, aluminum salt precipitation, and anionic membrane adsorption-elution method, respectively. Real-time fluorescence quantitative reverse transcription-polymerase chain reaction (RT-qPCR) was used to quantify MS2 nucleic acid in pre and post concentrated samples and the recovery rates of MS2 in samples with high, medium and low concentrations were compared among the five methods.Results:Comparing the MS2 enrichment recovery rates of individual enrichment method in water samples of different concentrations, ultrafiltration method 1, PEG precipitation method, aluminum salt precipitation method, and membrane adsorption-elution method were not affected by the sample concentration, and the differences of the recovery rates for the three concentration water samples among the four methods were not statistically significant ( P>0.05). The MS2 enrichment recovery rates of the five enrichment methods were significantly different in all concentration samples ( P<0.05). The recovery rates of ultrafiltration method 1 were higher in all three concentration samples, followed by aluminum salt precipitation and anionic membrane adsorption-elution, PEG precipitation were higher in high concentration samples, but lower in low and medium concentration samples, and the recovery rates of ultrafiltration method 2 were the lowest in all three concentration samples. Comparing the Ct values of MS2 in the enriched samples by five methods, the Ct values of ultrafiltration method 1 were the smallest in the three concentration water samples. There was no statistically significant difference in MS2 Ct values among the five enrichment methods in the medium and high concentration water samples ( P>0.05). In low concentration simulated water samples, only the difference of MS2 Ct value between ultrafiltration method 1 and ultrafiltration method 2 was statistically significant ( Z=16.000, P=0.016). Conclusions:Considering the operation simplicity, operation time and virus recovery rate after enrichment, ultrafiltration was the most effective method for virus enrichment in drinking water.