[摘 要] 目的：探讨复发/转移性鼻咽癌（NPC）接受含PD-1单抗免疫治疗的临床特征和预后影响因素。方法：回顾性分析2019年3月至2024年7月期间南部战区总医院确诊的95例NPC患者的临床资料和外周血生化及免疫学指标。预后分析采用Kaplan-Meier曲线，组间比较使用Log-rank检验，采用Cox比例风险模型进行单因素和多因素分析。结果：95例患者中男性81例，女性14例，中位年龄49.72岁（16~74岁），Ⅳ期91例（95.79%），所有患者均采用免疫治疗，联合或不联合化疗方案治疗，中位无进展生存期（mPFS）为10.5个月，客观缓解率（ORR）70.53%，疾病控制率（DCR）89.47%，接受含铂治疗方案患者PFS相对更长，且差异有统计学意义。紫杉醇 + 顺铂 + 氟尿嘧啶（TPF）对比吉西他滨 + 顺铂（GP）和紫杉醇 + 顺铂（TP）显示出更长的PFS，但差异无统计学意义。不同PD-1单抗治疗组间的PFS未显示出有统计学意义的差异。单因素及多因素Cox回归分析结果显示，肿瘤复发状态、初始血浆EBV感染状态、治疗周期数、基线外周血SII是复发/转移性NPC患者接受PD-1抑制剂治疗疗效预测的独立相关因素（均P < 0.05），并且非复发患者、初始血浆EBV DNA阳性、接受 ≥ 4治疗周期、基线外周血SII < 772.81的患者接受PD-1抑制剂治疗预后相对更好。结论：在接受PD-1抑制剂治疗的复发/转移性NPC患者中，非复发患者、初始血浆EBV DNA阳性、≥ 4治疗周期且外周血SII < 772.81者PFS相对更长，可早期识别免疫治疗效果不佳患者并精准干预。

Environmental toxicants have been linked to aging and age-related diseases. The emerging evidence has shown that the enhancement of detoxification gene expression is a common transcriptome marker of long-lived mice, Drosophila melanogaster, and Caenorhabditis elegans. Meanwhile, the resistance to toxicants was increased in long-lived animals. Here, we show that farnesoid X receptor (FXR) agonist obeticholic acid (OCA), a marketed drug for the treatment of cholestasis, may extend the lifespan and healthspan both in C. elegans and chemical-induced early senescent mice. Furthermore, OCA increased the resistance of worms to toxicants and activated the expression of detoxification genes in both mice and C. elegans. The longevity effects of OCA were attenuated in Fxr ^-/- mice and Fxr homologous nhr-8 and daf-12 mutant C. elegans. In addition, metabolome analysis revealed that OCA increased the endogenous agonist levels of the pregnane X receptor (PXR), a major nuclear receptor for detoxification regulation, in the liver of mice. Together, our findings suggest that OCA has the potential to lengthen lifespan and healthspan by activating nuclear receptor-mediated detoxification functions, thus, targeting FXR may offer to promote longevity.

Objective To study the intervention effect of nursing staff's participation in antimicrobial stewardship(AMS)on the rational use of antimicrobial agents,and explore its role in constructing a scientific healthcare-associa-ted infection(HAI)control management.Methods The data on perioperative prophylactic use of antimicrobial agents,surgical-related HAI control,and pathogen detection before therapeutic use of antimicrobial agents among hospitalized patients in a hospital from January 2016 to December 2024 were collected.Relevant evaluation indica-tors before and after nursing staff participating in AMS were compared.2016-2018,2019-2021,and 2022-2024 were stages before intervention,during intervention,and after intervention,respectively.Results After nursing staff participated in AMS,the use rate of prophylactic antimicrobial agents 0.5-1 hour before surgery and discon-tinuation rate of antimicrobial agents within 24 hours after class Ⅰ incision surgery increased from 64.54％and 81.41％before intervention to 75.31％and 84.56％after intervention,respectively.Incidences of surgical-related HAI and surgical site infection in patients decreased from 3.11％and 0.96％before intervention to 1.37％and 0.17％after intervention,respectively.Pathogen detection rates before restricted-and special-grade antimicrobial agents treatment increased from 50.80％and 68.70％before intervention to 55.19％and 80.53％after interven-tion,respectively.Proportion of blood specimen from which coagulase-negative Staphylococcus was detected de-creased from 29.30％before intervention to 21.26％after intervention.Proportion of respiratory specimen from which Haemophilus influenzae was detected increased from 2.00％to 3.98％.Differences were all statistically sig-nificant(all P＜0.05).Conclusion As important members of the AMS team,nursing staff can effectively reduce irrational antimicrobial use,optimize medication timing and duration,and have a positive effect on ensuring patient safety through participating in the use and management of antimicrobial agents in hospitalized patients.

Thoracolumbar spine fracture often leads to severe pain, functional impairments, and neurological deficits, for which open reduction and internal fixation can effectively restore the spinal structural stability. Open decompression and reduction with internal fixation can help relieve spinal cord compression and improve spinal function in cases of concomitant cord injury. Although spinal stability can be restored through surgery, patients often face chronic pain and functional impairments postoperatively. A postoperative rehabilitation program is critical in optimizing therapeutic outcomes, reducing complications, and minimizing the risk of secondary injuries. However, current rehabilitation methods, such as physical therapy, functional training, and pain management, are confronted with problems in clinical practice, including significant variation in efficacy, poor patient adherence, and prolonged rehabilitation period. There is an urgent need for a unified rehabilitation strategy to address these problems. To this end, the Spinal Trauma Group of the Orthopedic Physicians Branch of the Chinese Medical Association and the Spine Health Professional Committee of the Chinese Human Health Technology Promotion Association organized experts from relevant fields to formulate Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults ( version 2025) by integrating evidences from clinical researches and advanced rehabilitation concepts at home and abroad. A total number of 14 recommendations concerning the rehabilitation treatment with multimodal analgesia, psychological intervention, deep vein thrombosis prevention, core muscle and extremity exercise, appropriate use of braces, early weight-bearing, device-aided rehabilitation exercise, neuroregulatory therapy, rehabilitation team were put forward, aiming to standardize the post-operative rehabilitation process following internal fixation, promote the functional recovery, and enhance patients′ quality of life.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

BACKGROUND: Research has indicated that the disease burden of alopecia areata (AA) in China exceeds the global average. Therefore, accurate and updated epidemiological information is crucial for policymakers. In this study, we aimed to comprehensively assess the disease burden of AA in China. METHODS: The following four key indicators were utilized: the prevalence of cases; disability-adjusted life-years (DALYs); the age-standardized prevalence rate (ASPR); and the age-standardized DALY rate (ASDR) of AA according to the Global Burden of Disease (GBD) study 2021. We analyzed the epidemiological burden of AA in China during 2021, examined changes between 1990 and 2021, and performed a Bayesian age-period-cohort analysis to predict trends over the course of the next decade (2022-2030). Additionally, a Gaussian process regression model was applied to estimate the relationship between the gross domestic product (GDP) and the ASPR and ASDR of AA at the provincial level between 1992 and 2021. RESULTS: In 2021, the estimated number of patients with AA in China was approximately 3.49 million (95% uncertainty interval [UI], 3.37-3.62 million); of these patients, 1.20 million (95% UI, 1.16-1.25 million) were male and 2.29 million (95% UI, 2.20-2.37 million) were female. This large number of patients with AA resulted in a total of 114,431.25 DALYs (95% UI, 74,780.27-160,318.96 DALYs). Additionally, the ASPR and ASDR were 224.61 per 100,000 population (95% UI, 216.73-232.65 per 100,000 population) and 7.41 per 100,000 population (95% UI, 4.85-10.44 per 100,000 population), respectively; both of these rates were higher than the global averages. The most affected demographic groups were young and female individuals 25-39 years of age. Slight regional disparities were observed, with the northern and central regions of China bearing comparatively higher burdens. Between 1990 and 2021, the health loss and disease burden caused by AA in China remained relatively stable. The ASPR and ASDR of AA increased with the GDP when the annual GDP was less than 2 trillion Chinese yuan; however, a downward trend was observed as the GDP surpassed 2 trillion Chinese yuan. A slight upward trend in the disease burden of AA in China is predicted to occur over the next decade. CONCLUSIONS AA continues to be a public health concern in China that shows no signs of declining. Targeted efforts for young individuals and females are necessary because they experience a disproportionately high burden of AA.
Humans ; China/epidemiology* ; Alopecia Areata/epidemiology* ; Global Burden of Disease ; Female ; Male ; Adult ; Disability-Adjusted Life Years ; Middle Aged ; Prevalence ; Adolescent ; Young Adult ; Bayes Theorem ; Child ; Quality-Adjusted Life Years ; Child, Preschool

Objective:To identify the risk factors influencing the prognosis of patients with advanced breast cancer through LASSO-Logistic regression analysis and construct a nomogram model to evaluate their prognostic risk.Methods:A total of 178 patients with advanced breast cancer who visited the Department of Thyroid and Breast Surgery of Chengyang District People’s Hospital of Qingdao City from Jan. 2015 to Jan. 2023 were selected as the research subjects. According to the follow-up results, the patients were divided into a good-prognosis group and a poor-prognosis group. Clinical data of the patients were collected. LASSO-Logistic regression analysis was used to identify the risk factors affecting the prognosis of patients with advanced breast cancer. A nomogram model was constructed based on the analysis results. The predictive efficacy of the model for the prognostic risk of patients with advanced breast cancer was evaluated using the receiver operating characteristic (ROC) curve and Hosmer-Lemeshow (H-L) test.Results:During the follow-up, 5 patients were lost to follow-up. Among the final 173 patients included, 60 had poor prognoses (accounting for 34.68%), and 113 had good prognoses (accounting for 65.32%). There were significant differences between the poor prognosis group and the good prognosis group in terms of the number of lymph node metastases ( χ 2=18.12), the number of organ metastases ( χ 2=14.28), the difference in ADC before and after treatment ( t=17.35), the difference in SER before and after treatment ( t=9.57), the enhancement of the echo behind the breast after treatment ( χ 2=13.00), and the proportion of increased calcification ( χ 2=8.06) (both P < 0.05). The clinical data with significant differences in the univariate analysis were included in the LASSO regression analysis. Six factors were finally selected: number of lymph node metastases > 5, number of organ metastases > 1, difference in ADC values before and after treatment, difference in SER values before and after treatment, enhanced echo behind the breast, and increased calcification. These six factors selected by LASSO regression were included in the Logistic regression analysis. The results showed that number of organ metastases > 1 ( OR=2.208, 95% CI: 1.153-3.263), small difference in ADC values before and after treatment ( OR=0.448, 95% CI: 0.287-0.608), enhanced echo behind the breast ( OR=2.474, 95% CI: 1.063-3.886), and increased calcification ( OR=3.762, 95% CI: 1.831-5.693) were independent risk factors for poor prognosis in patients with advanced breast cancer (both P<0.05). A nomogram model was constructed based on the analysis results. The ROC curve showed that the area under the curve (AUC) of the model was 0.778. The H-L test results showed that the calibration curve fit well with the ideal curve, with χ 2 = 0.69 and P = 0.273. Conclusion:The nomogram model constructed based on LASSO-Logistic regression analysis has good predictive efficacy for the prognosis of patients with advanced breast cancer.

Objective To construct a LASSO-logistic regression model for the risk of complications of cardiopulmonary resuscitation(CPR)based on clinical data and relevant parameters of external chest compression and to provide a reference for the prevention of com-plications of cardiopulmonary resuscitation.Methods One hundred cardiac arrest survivor patients admitted to Shijiazhuang Circular Chemical Industrial Park Hospital from April 2020 to May 2023 were selected and divided into complication and non-complication groups according to complications.The clinical data,chest compression-related parameters of the 2 groups were compared,and LASSO regression was used to initially screen the influencing factors of CPR complications.Logistic regression was used to analyze the influencing factors of CPR complications,and Nomogram was drawn to predict the risk of CPR complications.Results LASSO regression screening showed that the coefficients of body mass index,thoracic anteroposterior diameter,rescuer education level,and rescuer gender were compressed.When λ was 1.786,the number of influencing factors was minimized,and the model performance was excellent.At this time,seven predic-tive variables including rescuer identity,rescuer CPR training,application of air mattress,application of decompression pad,compression depth,compression duration,and strict control of fluid volume were selected to achieve the best selection of influencing factors.Logistic regression analysis showed that rescuer being a nurse,rescuer having received CPR training,application of air mattress bed,application of decompression pad,and strict control of fluid volume were related protective factors for CPR complications,while compression depth and compression duration were related risk factors for CPR complications(P＜0.05).The nomogram diagram of the logistic prediction model for CPR complication risk showed that its C-index was 0.932,indicating good discrimination,and the calibration curve fitted well with the ideal curve.The constructed prediction model had good consistency with the actual observed results.Conclusion CPR complications included sternal fractures,lung contusions,and rib fractures.The risk closely relates to the rescuer,the rescuer's CPR training,the appli-cation of air mattress bed,the application of decompression pad,the depth of compression,the duration of compression,and the strict con-trol of fluid volume.

Objective To construct a LASSO-logistic regression model for the risk of complications of cardiopulmonary resuscitation(CPR)based on clinical data and relevant parameters of external chest compression and to provide a reference for the prevention of com-plications of cardiopulmonary resuscitation.Methods One hundred cardiac arrest survivor patients admitted to Shijiazhuang Circular Chemical Industrial Park Hospital from April 2020 to May 2023 were selected and divided into complication and non-complication groups according to complications.The clinical data,chest compression-related parameters of the 2 groups were compared,and LASSO regression was used to initially screen the influencing factors of CPR complications.Logistic regression was used to analyze the influencing factors of CPR complications,and Nomogram was drawn to predict the risk of CPR complications.Results LASSO regression screening showed that the coefficients of body mass index,thoracic anteroposterior diameter,rescuer education level,and rescuer gender were compressed.When λ was 1.786,the number of influencing factors was minimized,and the model performance was excellent.At this time,seven predic-tive variables including rescuer identity,rescuer CPR training,application of air mattress,application of decompression pad,compression depth,compression duration,and strict control of fluid volume were selected to achieve the best selection of influencing factors.Logistic regression analysis showed that rescuer being a nurse,rescuer having received CPR training,application of air mattress bed,application of decompression pad,and strict control of fluid volume were related protective factors for CPR complications,while compression depth and compression duration were related risk factors for CPR complications(P＜0.05).The nomogram diagram of the logistic prediction model for CPR complication risk showed that its C-index was 0.932,indicating good discrimination,and the calibration curve fitted well with the ideal curve.The constructed prediction model had good consistency with the actual observed results.Conclusion CPR complications included sternal fractures,lung contusions,and rib fractures.The risk closely relates to the rescuer,the rescuer's CPR training,the appli-cation of air mattress bed,the application of decompression pad,the depth of compression,the duration of compression,and the strict con-trol of fluid volume.