Objective To analyze the clinical characteristics and risk factors of noninfectious fever after endovascular repair of aortic dilatation diseases, and to explore management strategies. Methods A retrospective analysis was conducted on the clinical data of patients who underwent endovascular aortic repair for aortic dilatation diseases from January 2021 to October 2023. Based on inclusion and exclusion criteria, the enrolled patients were divided into a febrile group and an afebrile group according to the presence of postoperative fever. Clinical data, including demographics and surgical details, were compared between the two groups. Multivariate logistic regression analysis was performed on indicators with P≤0.05 in the univariate analysis, and receiver operating characteristic (ROC) curves were generated to analyze the predictive value of risk factors for postoperative noninfectious fever. Results A total of 305 patients were included in the final analysis. Postoperative noninfectious fever occurred in 75.08% (229/305) of the patients, with 98.25% of cases occurring within the first two postoperative days. The febrile group (n=229) had a median age of 65.0 (IQR: 53.0, 73.0) years with 83.4% males, while the afebrile group (n=76) had a median age of 71.0 (IQR: 65.0, 76.7) years with 84.2% males. Univariate analysis showed that the age, prevalence of coronary heart disease, preoperative statin use, and prevalence of aortic aneurysm were significantly lower in the febrile group compared to the afebrile group. Logistic regression analysis indicated that age, surgical site, disease type, preoperative elevated body temperature, and stent type were significantly associated with noninfectious fever, while preoperative statin use was negatively correlated. ROC curve analysis demonstrated that age, surgical site, preoperative elevated body temperature, and stent type had significant predictive value for postoperative noninfectious fever (P<0.01). Conclusion Noninfectious fever is highly prevalent following aortic repair. The relationship between fever and infection should be comprehensively evaluated based on risk factors and changes in the patient's condition to promote the rational use of antibiotics.

ObjectiveTo describe the prevalence and dynamic pain characteristics of dysmenorrhea among female medical students through a menstrual diary-based observational study. MethodsFrom April to June 2021, female students were recruited from a medical college in Shanghai to complete menstrual diaries and record dysmenorrhea-related characteristics for two menstrual cycles. Dysmenorrhea severity was assessed using the visual analogue scale (VAS) (no pain: 0; mild: 1‒3; moderate: 4‒6; severe: 7‒10). A total of 323 diaries were collected, of which 303 were 93.81% valid (valid response rate: 93.81%), covering 596 complete menstrual cycles. Among them, 293 participants completed diaries for two cycles and were included in the analysis of persistent dysmenorrhea. Period, point, and persistent prevalence of dysmenorrhea were calculated using the number of participants as the denominator. Paired comparisons were performed using Cochran’s Q test and Bonferroni-adjusted McNemar tests. Using menstrual cycles with dysmenorrhea as the unit of analysis, the distributions of pain onset, peak timing, and pain duration across different severities were compared using the χ² tests or Fisher’s precision probability tests. ResultsAmong 303 female college students, 269 experienced dysmenorrhea during the first recorded cycle, and 288 had dysmenorrhea in any cycle. Among 596 complete menstrual cycles recorded, 527 were associated with dysmenorrhea (88.42%), and among 293 students who completed 2 complete recorded cycles, 239 had persistent dysmenorrhea. The period, point, and persistent prevalence of dysmenorrhea among female college students were 95.05% (288/303), 88.78% (269/303), and 81.57% (239/293), respectively (Q=61.61, P<0.001). The prevalence of persistently severe dysmenorrhea was 5.12% (15/293). Among the 527 dysmenorrheic cycles, there were statistically significant differences in the distribution of pain onset time (P=0.003) and pain duration (P<0.001) among different degrees of dysmenorrhea; mild dysmenorrhea mostly started on the first day of menstruation (52.83%), and moderate dysmenorrhea mostly started before menstruation (50.19%). Pain duration increased with severity; the proportions of cycles with pain lasting ≥4 days were 13.20%, 43.03%, and 51.56% for mild, moderate, and severe dysmenorrhea cycles, respectively. For all severity groups, mean pain scores peaked on the first day of menstruation and then decreased day by day to a stable level. ConclusionDysmenorrhea is highly prevalent among female medical students, and differences exist across pain severity levels in onset time, duration, and dynamic changes in pain. Identification and health guidance for those with persistently moderate-to-severe dysmenorrhea should be strengthened, and medical evaluation should be conducted when necessary.

Lung cancer has the highest mortality rate among malignant tumors worldwide, posing a severe threat to human health. Traditional Chinese medicine (TCM) offers unique advantages in treating lung cancer, with disease-syndrome-integrated animal models serving as a critical component of TCM lung cancer research. According to TCM pathogenesis, lung cancer is classified as a pattern of underlying deficiency with superficial excess. Clinically, it is often categorized into syndromes such as qi and yin deficiency, lung-spleen qi deficiency, lung yin deficiency, qi stagnation and blood stasis, and phlegm-heat obstructing the lungs. Treatment should fundamentally adhere to the principle of "strengthening the healthy qi and expelling pathogenic factors". This paper systematically reviews literature from 2005 to 2025 on disease-syndrome-integrated animal models for lung cancer. It summarizes the theoretical basis and establishment methods of four core disease-syndrome-integrated models: qi-yin deficiency pattern, spleen qi deficiency pattern, qi stagnation and blood stasis pattern, and kidney deficiency pattern. Further discussion covers their evaluation systems and limitations. Additionally, modeling approaches for other patterns including yang deficiency, spleen deficiency, and qi deficiency with blood stasis are summarized, with evaluation methods categorized by behavioral characteristics and biochemical indicators. Analysis reveals that current models predominantly use C57BL/6 mice, exhibiting issues such as insufficient clinical relevance, complex modeling procedures, numerous confounding factors, and a low degree of standardization. Future improvements to disease-syndrome-integrated lung cancer animal models could include using clustered regularly interspaced short palindromic repeats (CRISPR) technology to establish organoid–patient-derived xenograft models; developing controllable composite stress systems and standardized stimulus models, such as gradient-controlled alternating cold/heat chambers and programmed dietary regulation systems, to reduce nonspecific interference; and developing multidimensional dynamic modeling techniques by integrating clinical big data, including metabolomics and imaging features, to design dynamic intervention protocols, thereby providing more precise and reliable experimental tools for elucidating the mechanisms of TCM in lung cancer prevention and treatment.

ObjectiveTo investigate the association of comprehensive control of multiple metabolic risk factors with the risk of all-cause mortality in patients with metabolic dysfunction-associated steatotic liver disease （MASLD） and its quantitative effect. MethodsA retrospective cohort study was conducted based on the data from National Health and Nutrition Examination Survey （NHANES） in 2003—2018. A total of 29 458 participants were enrolled， including 12 528 patients with MASLD and 16 930 non-MASLD controls. The control status of nine risk factors was assessed， i.e.， hypertension， diabetes， liver fibrosis （assessed by fibrosis-4 index ［FIB-4］）， aspartate aminotransferase （AST）/alanine aminotransferase （ALT） ratio， serum albumin， renal function （assessed by serum creatinine）， systemic inflammation （assessed by neutrophil count）， smoking， and physical activity. According to the status of comprehensive risk factor control， the patients with MASLD were further divided into low-control group with 1 107 patients， moderate-control group with 7 042 patients， and high-control group with 4 379 patients. A total of 397 participants were enrolled in the external validation cohort， among whom there were 266 participants with MASLD and 131 participants without MASLD. The Kruskal-Wallis H test was used for comparison of continuous data between multiple groups， and the chi-square test was used for comparison of categorical data between groups. The Cox proportional hazards model incorporating complex sampling weights for NHANES data were used to investigate the association between the degree of risk factor control and all-cause mortality， and the Kaplan-Meier curve， the log-rank test， restricted mean survival time （RMST）， and population attributable fraction （PAF） were used for further assessment. The robustness of the findings was validated in an independent clinical cohort （n=397）. ResultsThe cohort study based on the NHANES database showed that during the median follow-up time of 6.7 years， 1 171 deaths occurred among the 12 528 patients with MASLD. There was a significant reduction in mortality risk with the increase in the number of risk factors controlled （trend test： χ²=65.06， P<0.001）. Compared with the low-control group， the mortality risk decreased successively in the moderate-control group （hazard ratio ［HR］=0.59， 95% confidence interval ［CI］： 0.51 — 0.69） and the high-control group （HR=0.36， 95%CI： 0.27 — 0.48）， and the mortality risk was reduced by 22% for each additional risk factor controlled （HR=0.78， 95%CI： 0.74 — 0.82）. The PAF analysis showed that AST/ALT ratio control （PAF=19.2%） and physical activity （PAF=18.9%） were the largest contributors. The survival analysis of the sub-cohort constructed based on nearest neighbor matching （with a maximum follow-up time of 13.3 years） showed that there was a significant difference in cumulative survival rate between the MASLD groups with different control levels and the non-MASLD group （P<0.001）. The RMST analysis further quantified the survival benefit of each group， and the high-control group had the longest 10-year RMST （9.88 years）， which was superior to that of the non-MASLD group （9.43 years）， the moderate-control group （9.33 years）， and the low-control group （7.96 years）. The multivariable-adjusted model analysis of the complete cohort showed that compared with the non-MASLD population， the MASLD patients in the low-control group had a significant increase in mortality risk， the moderate-control group had a comparable mortality risk， and the high-control group had a significantly lower mortality risk. The subgroup analysis showed a significant protective effect of comprehensive control in both male and female individuals （P<0.05）， and the interaction analysis suggested a potentially stronger protective effect in female individuals （P_{for interaction}=0.031）. The protective effect was statistically significant in patients aged ≥60 years （P<0.05）. There was a significant difference in protective effect across the groups stratified based on waist circumference （P<0.05）， but there was no significant interaction between groups （P_{for interaction}=0.821）. In the external validation cohort， among the 397 participants， there were 72 cases of all-cause mortality （18.1%）. The survival analysis showed a significant gradient increase in the survival rate of MASLD patients with the increase in the level of control （P=0.022）. The RMST analysis showed that the moderate- and high-control groups had a better RMST than the non-MASLD group at 5 years （4.47 years vs 4.56 years vs 4.40 years）， with a more significant survival advantage at 10 years （8.67 years vs 8.95 years vs 8.44 years）. The Cox regression analysis showed that， with the low-control MASLD group as the reference， there was a significant reduction in mortality risk in the moderate-control group （HR=0.41， 95%CI： 0.21 — 0.81） and the high-control group （HR=0.32， 95%CI： 0.14 — 0.71）； with the non-MASLD population as the reference， there was a significant increase in mortality risk in the low-control group （HR=2.02， 95%CI： 1.03 — 3.95）， with a comparable mortality risk in the moderate-control group （HR=0.83， 95%CI： 0.48 — 1.44） and the high-control group （HR=0.66， 95%CI： 0.30 — 1.38）， and the point estimates of the effects were highly consistent with the main study. ConclusionAmong MASLD patients， better control of metabolic risk factors is associated with a lower mortality risk. Achieving optimal control can eliminate the excess mortality risk associated with MASLD， thereby helping patients achieve a better survival prognosis than the general population.

Lung cancer is the leading cause of cancer-related deaths worldwide. Radiation pneumonitis is a major complication in lung cancer radiotherapy. Four-dimensional computed tomography (4DCT) imaging provides dynamic ventilation information, which is valuable for lung function assessment and radiation pneumonitis prevention. Many methods have been developed to calculate lung ventilation from 4DCT, but a systematic comparison is lacking. Prediction of radiation pneumonitis using 4DCT-based ventilation is still in an early stage, and no comprehensive review exists. This paper presented the first systematic comparison of functional lung ventilation algorithms based on 4DCT over the past 15 years, highlighting their clinical value and limitations. It then reviewed multimodal approaches combining 4DCT ventilation imaging, dose metrics, and clinical data for radiation pneumonitis prediction. Finally, it summarized current research and future directions of 4DCT in lung cancer radiotherapy, offering insights for clinical practice and further studies.
Humans ; Lung Neoplasms/diagnostic imaging* ; Four-Dimensional Computed Tomography/methods* ; Radiation Pneumonitis/etiology* ; Algorithms ; Lung/radiation effects* ; Pulmonary Ventilation

OBJECTIVE: To review the research progress on the lower limb biomechanical characteristics of patients with discoid lateral meniscus (DLM) injury after surgery. METHODS: By searching relevant domestic and international research literature on DLM, the postoperative characteristics of knee joint movement biomechanics, tibiofemoral joint stress distribution, lower extremity force line, and patellofemoral joint changes in patients with DLM injury were summarized. RESULTS: Surgical treatment can lead to varying degrees of changes in the lower limb biomechanical characteristics of patients with DLM injury. Specifically, the kinematic biomechanics of the knee joint can significantly improve, but there are still problems such as extension deficits in the affected knee joint. The peak stress of the tibiofemoral joint decreases with the increase of the residual meniscus volume, and the degree of change is closely related to the residual meniscus volume. Preserving a larger volume of the meniscus, especially the anterior horn volume, helps to reduce stress concentration. The lower extremity force line will deviate outward after surgery, and the more meniscus is removed during surgery, the greater the change in the lower extremity force line after surgery. There are conditions such as cartilage degeneration, position and angle changes in the patellofemoral joint after surgery. CONCLUSION The changes in the lower limb biomechanical characteristics after DLM injury are closely related to the choice of surgical methods and rehabilitation programs. However, the mechanisms of biomechanical changes in multiple lower limb joints and individual differences still need to be further studied and clarified.
Humans ; Biomechanical Phenomena ; Tibial Meniscus Injuries/physiopathology* ; Menisci, Tibial/physiopathology* ; Knee Joint/surgery* ; Lower Extremity/physiopathology* ; Patellofemoral Joint/physiopathology* ; Range of Motion, Articular ; Knee Injuries/physiopathology*

Non-small cell lung cancer (NSCLC), a leading cause of cancer-related deaths worldwide, remains a significant clinical challenge despite advances in immune checkpoint inhibitors therapy, with drug resistance persisting as a major obstacle. Palmitoylation, a critical post-translational modification (PTM) primarily catalyzed by palmitoyltransferases of the zinc finger DHHC-type (ZDHHC), has recently demonstrated important implications in NSCLC. This review aims to elucidate the mechanisms and clinical potential of ZDHHC-mediated protein palmitoylation in NSCLC progression and immune escape.
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Humans ; Lipoylation ; Lung Neoplasms/pathology* ; Acyltransferases/genetics* ; Carcinoma, Non-Small-Cell Lung/pathology* ; Animals

Objective To explore the clinical characteristics and features of noninfectious fever in elderly patients with aortic dilation disease.Methods A total of 599 elderly patients diagnosed with aortic dilation disease(including 274 cases of acute disease and 325 cases of chronic disease)in the Affiliated Wuxi People's Hospital of Nanjing Medical University from January 2021 to June 2024 were recruited.According to their age,the patients with acute disease were divided into aged group 1(105 cases)and non-age group 1(169 cases),and those with chronic disease were into aged group 2(231 cases)and non-age group 2(94 cases).For the 520 patients(246 cases of acute disease and 274 cases of chronic disease)subjected for endovascular repair surgery,they were assigned into aged group 3(90 cases)and non-aged group 3(156 cases)for those with acute dis-ease,and aged group 4(206 cases)and non-aged group 4(68 cases)for those with chronic disease.For the 230 patients experiencing postoperative non-infectious fever,they were divided into acute-febrile(50 cases),acute-afebrile(20 cases),chronic-febrile(106 cases)and chronic-afebrile(54 cases)groups.Their general data was compared among the groups.Multivariate logistic regression analysis was conducted to identify the risk factors for postoperative noninfectious fever.ROC curve was plotted to analyze the predictive performance of our model for postoperative noninfec-tious fever.Results The surgical rate of endovascular repair surgery was 86.81％(520/599).The aged patients had significantly lower incidences of postoperative fever and non-infectious fever than the non-aged patients(P＜0.05,P＜0.01).There were no statistical differences in the ratio of using first and second generation cephalosporins or clindamycin and the duration of postopera-tive medication between the febrile group and afebrile group(P＞0.05).Multivariate logistic re-gression analysis showed that for acute disease,implantation of polytetrafluoroethylene stents(OR=7.931,95％CI:1.945-32.337,P=0.004)was a risk factor,while administration of statins(OR=0.160,95％CI:0.032-0.807,P=0.026)was a protective factor for non-infectious fever.ROC curve analysis indicated that showed our model based on above results of multivariate logis-tic regression analysis had an AUC value of 0.836,a sensitivity of 60.0％and a specificity of 95.0％.For chronic disease,implantation of polytetrafluoroethylene stents(OR=2.558,95％CI:1.250-5.235,P=0.010)and preoperative increased temperature(OR=4.615,95％CI:1.502-14.181,P=0.008)were risk factors for non-infectious fever.Based on these results,the construc-ted model obtained an AUC value of 0.714 in ROC curve analysis.Conclusion For elderly patients undergoing aortic repair surgery,it is unnecessary to upgrade the variety of antibiotics or extend the course of treatment due to advanced age.Individualized analysis of possible infections should be conducted to promote the rational use of antibiotics.

Objective To investigate the drivers,stakeholders,core tasks,and differentiated development models of digital transformation in Chinese hospitals,develop a hospital digital transformation model,and propose advancement pathways.Methods Leveraging ROCCIPI theory,socio-technical systems theory,and social network theory,a multiple case study approach was employed to analyze four representative Chinese hospitals,examining the driving factors,social network relationship,and core tasks of digital transformation.Results Hospital digital transformation is a complex process driven by regulations,opportunities,and capabilities,requiring efficient collaboration among stakeholders focused on patient services,clinical operations,hospital management,and security.It identified three development models-ecology-oriented,regional integration,and grassroots enhancement—based on the distinct characteristics of the hospitals.A theoretical model for digital transformation in four Chinese hospitals was developed,along with proposed pathways and strategies.Conclusion It presents a digital transformation model and advancement pathways for hospitals through multiple case analyses,addressing the limited perspectives of existing research and providing a reference for practice.