ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

This article provides a systematic interpretation and review of the Society of Critical Care Medicine 2024 Guidelines on Adult ICU Design. Developed based on the Grading of Recommendations Assessment, Development and Evaluation methodology, the guideline address five core themes: ICU layout, room design, infection control, infrastructure, and staff spaces, and put forward 17 evidence-based recommendations, including 5 good practice statements. This article briefly introduces the guideline development methods and evidence characteristics, and focuses on summarizing key recommendations, including high-visibility layouts, single-bed ward settings, natural lighting and noise reduction strategies, integrated infection prevention and control design, remote monitoring, and flexible capacity expansion capabilities. Furthermore, it delves into the applicability and localized implementation pathways within China's healthcare environment, analyzing limitations in terms of evidence quality, specialty applicability, and cost-effectiveness. Furthermore, by integrating the Chinese Guidelines for the Construction and Development of Critical Care Medicine (2025 Edition) and current domestic practices, the article proposes tiered and phased implementation recommendations. This article aims to provide domestic healthcare institutions with a scientific reference that balances international cutting-edge concepts with China's real-world conditions for the construction and renovation of ICUs, thereby promoting the development of intensive care environments centered on patient safety, healthcare worker well-being, and infection control.

Objective: To analyze the impact of premature death due to four major chronic diseases on life expectancy in Yangpu District, Shanghai Municipality from 2010 to 2021, so as to provide the evidence for formulating chronic disease prevention and control strategies. Methods : Mortality data of registered residents in Yangpu District from 2010 to 2021 were collected through the Death Information Registration and Management System of the Shanghai Municipal Disease Control and Prevention Information Management Platform. The premature death probability of malignant tumors, diabetes, cardiovascular and cerebrovascular diseases, and chronic respiratory diseases, and life expectancy of residents were calculated using the abridged life table method. Trends in premature death probability for four types of chronic diseases were analyzed using the average annual percent change (AAPC). The impact of premature death probability due to four chronic diseases on life expectancy was assessed by Arriaga's decomposition method. Results : The premature death probability due to four major chronic diseases in Yangpu District decreased from 9.88% in 2010 to 9.22% in 2021, showing an overall declining trend (AAPC=-0.540%, P<0.05). Among females, the premature death probability declined from 6.71% to 4.90% (AAPC=-2.715%, P<0.05), whereas no statistically significant trend was observed in males (P>0.05). Life expectancy increased from 82.52 years in 2010 to 84.50 years in 2021, with an overall upward trend (AAPC=0.244%, P<0.05). Life expectancy rose by 1.71 years for males and 2.34 years for females (AAPC=0.197% and 0.303%,both P<0.05). Declines in premature death probability from malignant tumors (AAPC=-0.967%, P< 0.05) and chronic respiratory diseases (AAPC=-3.071%, P<0.05) contributed to gains in life expectancy of 0.30 years and 0.03 years, with contribution rates of 12.18% and 1.29%, respectively. Changes in premature death probability due to diabetes as well as cardiovascular and cerebrovascular diseases were not statistically significant (both P>0.05), resulting in reductions in life expectancy of 0.05 years and 0.10 years, with contribution rates of -2.40% and -5.05%, respectively. Notably, an increase in premature death probability due to cardiovascular and cerebrovascular diseases among males (AAPC=1.673%) contributed to a decrease of 0.22 years in male life expectancy, whereas a decrease among females (AAPC=-3.824%) contributed to an increase of 0.03 years in female life expectancy, with contribution rates of -13.03% and 1.14%, respectively. Conclusions From 2010 to 2021, Yangpu District experienced an overall decline in premature death probability due to four major chronic diseases and an increase in life expectancy. Greater attention should be paid to the negative impacts of premature death probability from diabetes as well as cardiovascular and cerebrovascular diseases among males on life expectancy.

BackgroundObstructive sleep apnea （OSA） represents a prevalent sleep disordered breathing condition characterized by complex pathophysiology. The arousal threshold （ArTH）， a core non-anatomical contributor to OSA pathogenesis， is intimately tied to the disease severity and clinical phenotypes. To date， research regarding factors associated with ArTH has yielded inconsistent findings， and ArTH profiles and disparities across populations with different genetic backgrounds are not fully elucidated. ObjectiveTo explore the differences of ArTH in OSA patients with different genetic backgrounds and analyze the key factors affecting ArTH， thereby providing evidence for understanding OSA pathophysiology and formulating targeted treatment regimens. MethodsA total of 285 patients who met the diagnostic criteria for OSA， as defined by the Multidisciplinary Diagnosis and Treatment Guidelines for Adult Obstructive Sleep Apnea， were retrospectively enrolled in this study. All participants underwent overnight polysomnography （PSG） at the Sleep Medicine Center of Inner Mongolia Mental Health Center from December 2022 to May 2024. Based on the study design， the cohort was stratified into two distinct genetic background subgroups （group A and group B）. Demographic and clinical characteristics， the Epworth Sleepiness Scale （ESS） score， and overnight PSG data were collected. The apnea hypopnea index （AHI）， the lowest pulse oxygen saturation （LSpO₂）， and fraction of hypopneas （F_Hypopneas） were utilized as surrogate indicators to estimate ArTH in OSA patients. The influencing factors of low ArTH were tested by binary Logistic regression analysis. ResultsAmong the 285 OSA patients， there were 227 cases （79.65%） in group A and 58 cases （20.35%） in group B. Comparisons between the two genetic background subgroups revealed no statistically significant differences in the proportion of low ArTH， ESS score， PSG parameters， and the three markers for low ArTH （AHI<30 events/h， LSpO₂>82.5%， F_Hypopneas>58.3%） （P>0.05）. Binary Logistic regression analysis identified sex （OR=2.421， 95% CI： 1.070–5.478）， BMI （OR=0.847， 95% CI： 0.770–0.932）， N1 sleep duration （OR=0.974， 95% CI： 0.963–0.985）， and hypertension （OR=0.348， 95% CI： 0.143–0.848） as independent factors associated with low ArTH in the total cohort. Stratified analysis by genetic backgrounds revealed that sex（OR=3.799， 95% CI： 1.389–10.392）， BMI（OR=0.819， 95% CI：0.723–0.929）， and N1 sleep duration（OR=0.973， 95% CI： 0.961–0.986） were independent factors of low ArTH in group A. In contrast， only N1 sleep duration （OR=0.951， 95% CI： 0.911–0.993） remained a significant factor in group B. ConclusionArthur may have conservative characteristics in patients with OSA with different genetic backgrounds， but the pathophysiological mechanism of OSA may have population heterogeneity. ［Funded by Inner Mongolia Autonomous Region Natural Science Fundation Project （number， 2024QN08050）； Intra-institutional Scientific Research Project of Inner Mongolia Mental Health Center （number， 2022QNWN0010）］

Objective: To investigate and analyze the influencing factors and intervention strategy preferences of preoperative dental anxiety in patients undergoing oral implant surgery, and to provide a basis for the clinical formulation and implementation of targeted interventions. Methods: This study was approved by the Hospital Medical Ethics Committee, and written informed consent was obtained from all participants. Using convenience sampling, a cross-sectional survey was conducted from January to October 2025 among 210 patients in the Department of Implantology of a tertiary dental hospital. All participants had been clinically diagnosed and were scheduled to undergo oral implant surgery on the day of the survey. The survey was conducted using a General Information Questionnaire, the Modified Dental Anxiety Scale (MDAS), and an Anxiety Cause Questionnaire. The General Information Questionnaire collected data on patients’ gender, age, presence of systemic diseases, dental treatment history, number of implants, whether bone augmentation was required. The MDAS was used to assess patients’ dental anxiety levels via MDAS scores, with a score ≥ 12 defined as dental anxiety. The Anxiety Cause Questionnaire covered the following items: fear of pain, concern that the instruments might cause permanent damage to their teeth, concern about the dentist’s technique and inability to achieve ideal results, fear of local anesthesia, concern about cross-infection, financial pressure, exposure to an unfamiliar environment and strangers, and previous unpleasant dental experiences. The MDAS scores of the items in the Anxiety Cause Questionnaire and General Information Questionnaire were analyzed using the Mann-Whitney U test or Kruskal-Wallis H test for univariate analysis, and factors with statistical significance in the univariate analysis were further analyzed using binary logistic regression for multivariate analysis. An Intervention Strategy Preference Questionnaire was used to survey patients’ preferences for the following interventions: understanding the surgical procedure, verbal reassurance from medical staff, distraction methods such as listening to music or using stress balls, staying in a physically and mentally relaxing environment, and others. Results: The average preoperative MDAS score of patients undergoing oral implant surgery was 10.91 ± 3.40, and the incidence of dental anxiety (MDAS ≥ 12) was 34.8% (73/210). Univariate analysis showed that female patients, patients aged < 45 years, had significantly higher MDAS scores (P < 0.05). Patients who selected “fear of pain” (79.0%), “fear of local anesthesia” (21.0%), and “exposure to an unfamiliar environment and strangers” (4.8%) as causes of their anxiety had higher MDAS scores than those who did not select these items (P < 0.05). Multivariate logistic regression analysis showed that patient's age (OR = 0.420), fear of pain (OR = 4.234), and exposure to an unfamiliar environment and strangers (OR = 8.220) were independent influencing factors of preoperative dental anxiety in patients undergoing oral implant surgery (P < 0.05). The Intervention Strategy Preference Questionnaire showed that “verbal reassurance from medical staff” (45.2%), “distraction” (43.3%), and “understanding the surgical procedure” (39.5%) were the most preferred intervention strategies among patients. Conclusions Preoperative dental anxiety is common among some patients undergoing oral implant surgery, particularly young and middle-aged patients, those treated by less experienced physicians, and those experiencing anxiety due to a fear of pain or exposure to an unfamiliar environment and strangers. Clinical attention should focus on these patient populations, and systematic preoperative education and psychological counseling should be provided accordingly.

Health economics evidence plays an important role in linking clinical value evidence with health resource allocation decisions in the development of clinical practice guidelines. It can not only effectively balance clinical effectiveness and economic feasibility but also avoid forming "idealized" recommendations that are detached from the affordability of the healthcare system or the burden-bearing capacity of patients. To promote guideline developers to use health economics evidence more standardizedly and fully, this paper conducts an in-depth analysis of the current application status, existing challenges, access channels, and application processes of health economics evidence in current guidelines, and on this basis, puts forward considerations and suggestions for strengthening and standardizing the application of health economics evidence in China's clinical practice guidelines.

The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

Objective:To analyze the epidemiological characteristics and immune effects of pertussis in Jiangxi Province from 2020 to 2023 and provide a reference basis for preventing and controlling pertussis in Jiangxi Province.Methods:The annual pertussis incidence data and population data of Jiangxi Province in the same period were derived from the China Disease Prevention and Control Information System, the population data for 2020 were derived from the seventh population census data of Jiangxi Province, and pertussis cases with PV immunization history were derived from the immunization program information system of Jiangxi Province. Descriptive epidemiological methods were used to analyze pertussis epidemic characteristics and PV immunization history in Jiangxi Province from 2020 to 2023. An expert modeler was used to construct the best time series model and perform seasonal decomposition. The chi-square test and Cochran-Armitage trend test were used for statistical analysis. Excel 2013 and SPSS 27.0 software were used for statistical analysis.Results:A total of 886 cases of pertussis were reported in Jiangxi Province from 2020 to 2023, with an average annual reported incidence rate of 0.49/100 000, showing a linear upward trend ( Z=121.80, P<0.001). The Winters' additive model was optimal to fit the monthly data with stable seasonality (Ljung-Box statistic Q=10.56, P=0.78), the average number of reported cases in August was higher than the annual average of 5.12. The top three cities with reported incidence rates were Pingxiang (1.11/100 000), Yichun (1.10/100 000), and Nanchang (0.73/100 000). The highest age composition of cases was in the under 1-year-old group (373 cases,42.10%). Under 1-year-old group, 5-9-years-old group, and ≥10-years-old group all showed an increasing trend in reported incidence year by year (all P<0.001), and the reported incidence rate of under 1-year-old group increased from 12.42/100 000 in 2020 to 48.85/100 000 in 2023. A total of 545 cases (61.51%) had a history of PV immunization. Four doses PV immunization was the main ones (44.92%, 398 cases) and the median ( Q1, Q3) interval from the last vaccination to onset was 4 (1,5) years. Conclusions:The reported incidence of pertussis in Jiangxi Province increased from 2020 to 2023. The cases are mainly concentrated in the under 1-year-old group. The rates of PV vaccination in pertussis cases was low, with more number of vaccine breakthrough infection cases with 4-doses PV vaccination. It has been suggested to continue doing the following: strengthening pertussis surveillance, improving the timeliness of pertussis vaccination, implementing the fifth dose as soon as possible for children over 6-year-old, strengthening the studies of vaccine breakthrough infection case, and optimizing the population immunity strategy of pertussis.

AIM To establish a quantitative analysis of multi-components by single-marker(QAMS)method for the simultaneous content determination of baicalin,baicalin,hesperidin,naringin,neohesperidin,rosinic acid,glycyrrhizin,ammonium glycyrrhizate and prehumetin in Tongxuan Lifei Pills.METHODS The analysis was performed on a 30 ℃ thermostatic SVEA C18 column(4.6 mm × 250 mm,5 μm),with the mobile phase comprising of acetonitrile-water(containing 0.1％phosphoric acid)flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelength was set at 250 nm.Baicalin was used as an internal standard to calculate the relative correction factors of the other eight constituents,after which the content determination was made.RESULTS Nine constituents showed good linear relationships within their own ranges(r ≥ 0.999 1),whose average recoveries were 96.15％-101.58％with the RSDs of 0.75％-1.74％.The result obtained by QAMS approximated those obtained by external standard method.CONCLUSION This accurate,stable and reproducible method can be used for the quality control of Tongxuan Lifei Pills.