OBJECTIVE To evaluate the cost-effectiveness of capecitabine metronomic chemotherapy combined with aromatase inhibitor （AI） versus AI monotherapy as first-line treatment for hormone receptor-positive （HR+）/human epidermal growth factor receptor 2-negative （HER2－） metastatic breast cancer， thereby providing evidence-based support for clinical therapeutic decision- making and healthcare policy formulation. METHODS Based on the MECCA trial， a partitioned survival model was constructed using a 4-week cycle length to simulate outcomes over patients’ lifetime. The model outputs included total costs， quality-adjusted life year （QALY）， and incremental cost-effectiveness ratio （ICER）. Sensitivity analyses were performed to validate the robustness of base-case results， while scenario analyses examined the cost-effectiveness of both treatment strategies under 10-year， 20-year， and lifetime time horizons. RESULTS With the willingness-to-pay （WTP） threshold set at 1 times China’s 2024 per capita gross domestic product （GDP） （95 749 yuan/QALY）， patients receiving capecitabine metronomic chemotherapy combined with AI regimen gained incremental utility （0.66 QALYs） while incurring higher costs， with ICER of 27 684.85 yuan/QALY. Results of the one-way sensitivity analysis showed that factors with significant impacts on ICER included the cost discount rate， drug costs of the capecitabine metronomic chemotherapy combined with AI group， utility value in the progression-free survival state， follow-up costs， and treatment costs in the subsequent stablephase. Probabilistic sensitivity analysis indicated that when the WTP threshold ≥49 250 yuan/QALY， the capecitabine metronomic chemotherapy combined with AI regimen had a 100% probability of being cost-effective. Scenario analysis results demonstrated that capecitabine metronomic chemotherapy combined with AI regimen was more cost-effective than the AI alone regimen across 10-year， 20-year， and lifetime study horizons. CONCLUSIONS Under the premise that the WTP threshold is set at 1 times China’s per capita GDP in 2024， capecitabine metronomic chemotherapy combined with AI regimen is more cost-effective than the AI alone regimen as the first-line treatment for HR+/HER2－ metastatic breast cancer.

OBJECTIVE: To compare clinical efficacy of transaxillary posterior margin approach and translateral margin approach for the treatment of Miller typeⅡand Ⅳ scapular fractures. METHODS: From June 2020 to June 2024, 28 patients with fresh scapular fractures (Miller typeⅡand Ⅳ) who were treated with open reduction and locked plate internal fixation were retrospectively analyzed and divided into two groups. There were 13 patients in posterior axillary margin group, including 8 males and 5 females, aged from 26 to 71 years old with an average of (39.2±6.5) years old;5 patients with typeⅡand 8 patients with type Ⅳ according to Miller classification;9 patients caused by falling down, 4 patients caused by car accident;7 patients on the right side, 6 patients on the left side;the time from injury to operation ranged from 3 to 5 days with an average of (4.07±0.86) days. There were 15 patients in lateral scapula margin group, including 10 males and 5 females, aged from 27 to 63 years old with an average of (43.6±8.5) years old;7 patients with typeⅡand 8 patients with type Ⅳ according to Miller classification;10 patients caused by falling down, 5 patients caused by car accident;6 patients on the right side, 9 patients on the left side;the time from injury to operation ranged from 3 to 5 days with an average of (4.20±0.67) days. Operative time, intraoperative blood loss, fracture healing time, glenopolar angle (GPA) immediately after operation were compared between two groups. Visual analogue scale (VAS) and Constant-Murley shoulder joint function score were used to evaluate clinical effect at 3 and 6 months after operation, respectively, and the joint motions were evaluated at 6 months after operation. RESULTS: None of patients occurred wound infection, vascular and nerve damage, loosening or rupture of internal fixation. Both groups were followed up for 8 to 12 months with an average of (9.6±1.5) months. Operative time and intraoperative blood loss of posterior axillary margin group were (76.92±5.60) min and (84.86±10.08) ml, respectively, which were better than those of lateral scapula margin group(84.67±6.93) min and(115.00±12.39) ml(P<0.05). Immediate GPA in posterior axillary margin group (36.62±0.87) °and lateral scapula margin group (36.20±0.82)°were significantly improved compared with preoperative (16.10±1.14) °, (16.20±1.20) °(P<0.05), while there was no statistical significance between two groups (P>0.05). There were no significant difference in fracture healing time and postoperative VAS at 3 and 6 months between two groups (P>0.05). Postoperative Constant-Murley score of posterior axillary margin group (75.00±4.02) was higher than that of lateral scapular margin group (70.86±4.24) at 3 months (P<0.05), while there was no significant difference between two groups at 6 months after operation (P>0.05). At 6 months after operation, joint motion of posterior axillary margin group in flexion (160.38±13.61)°, abduction (154.61±13.91)°, rotation (83.08±2.53)°, rotation (62.69±2.59) ° and extension (51.54±3.15) °, respectively, which were higher than that of lateral scapular margin group in (148.00±15.44)°, (144.00±11.05)°, (79.67±3.99)°, (57.33±4.95)°, (47.33±4.16)°(P<0.05). CONCLUSION Compared with lateral margin of scapula intermuscular space approach, Buttress approach through the posterior axillary margin for the treatment of Miller typeⅡand Ⅳ scapular fractures provides extensive intraoperative visual field exposure, stable fracture support and less surgical trauma, which could shorten operative time and reduce intraoperative blood loss, providing a new reference for the treatment of complex scapular fractures.
Humans ; Male ; Female ; Middle Aged ; Scapula/surgery* ; Adult ; Aged ; Fractures, Bone/physiopathology* ; Fracture Fixation, Internal/methods* ; Retrospective Studies ; Axilla/surgery*

The circadian clock is an important internal time regulatory system for a range of physiological and behavioral rhythms within living organisms. Testosterone, as one of the most critical sex hormones, is essential for the development of the reproductive system, maintenance of reproductive function, and the overall health of males. The secretion of testosterone in mammals is characterized by distinct circadian rhythms and is closely associated with the regulation of circadian clock genes. Here we review the central and peripheral regulatory mechanisms underlying the influence of circadian clock genes upon testosterone synthesis. We also examined the specific effects of these genes on the occurrence, development, and treatment of common male diseases, including late-onset hypogonadism, erectile dysfunction, male infertility, and prostate cancer.
Testosterone/metabolism* ; Humans ; Male ; Circadian Clocks/genetics* ; Circadian Rhythm Signaling Peptides and Proteins/metabolism* ; Circadian Rhythm/physiology* ; Hypogonadism/metabolism* ; Erectile Dysfunction/metabolism* ; Infertility, Male/metabolism* ; Prostatic Neoplasms/metabolism* ; Men's Health

Objective： To analyze the symptoms, diagnosis and treatment of upper urinary tract calculi patients combined with mild and moderate benign prostatic hyperplasia (BPH) after ureteral stent implantation. Methods： One hundred and six BPH patients who were hospitalized for upper urinary tract calculi and had ureteral stents retained from January 2019 to December 2022 were selected and divided into 2 weeks group and 4 weeks group according to the time of removal of ureteral stents after surgery. Their general clinical data were analyzed and compared. International Prostatic Symptom Scale (IPSS), postoperative ureteral Stent Symptom Questionnaire (USSQ), and incidence of adverse events after ureteral stent removal were recorded before and after removal. Results： The scores of IPSS were significantly increased in all patients, and symptoms in urinary tract had improved significantly after discharge (P<0.05). Compared with the 2 weeks group, the USSQ score of the 4 weeks group was significantly increased (P<0.05). And no significant adverse event was observed in the 2 weeks group after the removal of ureteral sten. Conclusion： IPSS score and USSQ score increased significantly during stent implantation in BPH patients with lithiasis. And complications increased significantly over time. Following thorough clinical assessment, early ureteral stent removal demonstrates both safety and efficacy, representing an optimal therapeutic approach in selected cases.
Humans ; Male ; Prostatic Hyperplasia/surgery* ; Stents ; Ureter/surgery* ; Aged ; Middle Aged ; Urinary Calculi/surgery* ; Ureteral Calculi/surgery*

Idiopathic pulmonary fibrosis (IPF), a chronic interstitial lung disease, is characterized by aberrant wound healing, excessive scarring and the formation of myofibroblastic foci. Although the role of alternative splicing (AS) in the pathogenesis of organ fibrosis has garnered increasing attention, its specific contribution to pulmonary fibrosis remains incompletely understood. In this study, we identified an up-regulation of serine/arginine-rich splicing factor 7 (SRSF7) in lung fibroblasts derived from IPF patients and a bleomycin (BLM)-induced mouse model, and further characterized its functional role in both human fetal lung fibroblasts and mice. We demonstrated that enhanced expression of Srsf7 in mice spontaneously induced alveolar collagen accumulation. Mechanistically, we investigated alternative splicing events and revealed that SRSF7 modulates the alternative splicing of pyruvate kinase (PKM), leading to metabolic dysregulation and fibroblast activation. In vivo studies showed that fibroblast-specific knockout of Srsf7 in conditional knockout mice conferred resistance to bleomycin-induced pulmonary fibrosis. Importantly, through drug screening, we identified lomitapide as a novel modulator of SRSF7, which effectively mitigated experimental pulmonary fibrosis. Collectively, our findings elucidate a molecular pathway by which SRSF7 drives fibroblast metabolic dysregulation and propose a potential therapeutic strategy for pulmonary fibrosis.

Mineral oil contaminants composed of saturated hydrocarbons(MOSH)and aromatic hydrocarbons(MOAH)are commonly found in edible oils and related processed foods.Currently,the analysis of mineral oils primarily employs the liquid chromatography-gas chromatography-flame ionization detector(LC-GC-FID)method.Liquid chromatography is used to purify and separate MOSH and MOAH from interfering substances,and the interface technology transfers MOSH or MOAH into different GC channels for quantitative analysis.The MOSH and MOAH chromatograms typically exhibit an irregular hump shape,with sharp peaks above the hump representing natural hydrocarbon interferences,which usually do not affect the identification of the hump profile.However,when the purification of interferences is incomplete,they can form one or more gaps above the hump,interfering with the accurate judgment and delineation of the hump profile,and leading to poor reproducibility of analysis results of mineral oil.In this study,an algorithm that mimicked the manual drawing of the hump shape or contour was proposed for automatically determining the mineral oil hump contour(i.e.,the lower envelope line).The algorithm used a multiple second-order difference quotient filtering method to identify and remove the gaps above the hump.The method involved first searching and determining the lowest value of the mineral oil hump,which was the valley point sequence,and then applying second-order difference quotient filtering to the valley point sequence.Compared to the hump,the second-order difference quotient of sharp peaks was a significantly larger negative value.By filtering out the points in the valley point sequence with larger negative second-order difference quotients(or multiple second-order difference quotients),the sharp peaks above the hump were removed.To verify the accuracy of the algorithm,42 different types of samples,including edible oils and milk powders were analyzed,using both the automatic algorithm and manual methods.The results showed that there were no significant differences in the detected mineral oil contents between these two methods.

Objective:To search, evaluate and summarize the best evidence summary of perioperative accelerated rehabilitation nursing for patients undergoing hip and knee arthroplasty, so as to provide reference for clinical perioperative nursing.Methods:Evidence-based nursing methods were used to search for relevant databases such as BMJ Best Practice, UpToDate, PubMed, CINAHL, and CNKI, etc.. The search period was from December 2010 to December 2022. Four researchers independently evaluated the quality of the guidelines, and two researchers independently evaluated the quality of expert consensus and system evaluation. Finally, the included literature was summarized.Results:A total of 12 pieces of literature, 3 guidelines, 5 expert consensus and 4 systematic reviews were included. From 13 aspects of preoperative education, preoperative optimization, anesthesia management, perioperative blood management, perioperative pain management, perioperative fluid management, perioperative temperature protection, infection prevention, thrombus prevention, postoperative nausea and vomiting, postoperative drainage, functional exercise, and perioperative rehabilitation promotion, 35 pieces of the best evidence for hip and knee replacement patients to accelerate rehabilitation nursing in the perioperative period was summarized.Conclusions:This study summarizes the best evidence of accelerated rehabilitation nursing in the perioperative period of hip and knee arthroplasty, aiming to build and standardize the accelerated rehabilitation nursing scheme in the perioperative period of hip and knee arthroplasty, so as to provide reference for clinical perioperative nursing.

BACKGROUND:Currently,there have been studies on the regulatory mechanism of lncRNA\miRNA\mRNA co-expression network on the occurrence and development of osteoarthritis.Our research group has screened qualified NONHSAT248596.1 and miR-146a-5p through the database in the previous stage,but the corresponding in vivo experiments to verify the above regulatory mechanisms are still lacking. OBJECTIVE:To explore the role of NONHSAT248596.1 in regulating competitive endogenous RNA of miR-146a-5p in cartilage degeneration mediated by stromal cell derived factor type 1/chemokine receptor 4 axis in vivo. METHODS:The models of osteoarthritis were established in 36 New Zealand rabbits by injecting stromal cell derived factor 1 solution into the knee joint of the right hind limb.According to the random number table method,they were divided into four groups.lncRNA group,miRNA group,ceRNA group and control group were injected with lentivirus vector overexpressing NONHSAT248596.1,lentivirus vector overexpressing miR-146a-5p,lentivirus vector overexpressing miR-146a-5p+NONHSAT248596.1 and empty lentivirus vector into the molded knee joint,respectively.At 4,8 and 12 weeks of modeling,cartilage tissues and subchondral bone tissues of the knee joint were taken for relevant detection. RESULTS AND CONCLUSION:Hematoxylin-eosin staining and safranin fast green staining showed different degrees of degeneration in the four groups.At 4 weeks,the cartilage tissue of the lncRNA group showed swelling of chondrocytes,loss of cell polarity,destruction of extracellular matrix,surface erosion,fracture formation and partial or full layer loss of cartilage tissue.The degree of cartilage injury was gradually aggravated with time.The progression of articular cartilage inflammation in the miRNA group was the slowest among the four groups.qRT-PCR showed that at the same time point,mRNA expression levels of NONHSAT248596.1,chemokine receptor 4,matrix metalloproteinase 3,matrix metalloproteinase 9 and matrix metalloproteinase 13 in cartilage tissue of the lncRNA group were higher than those of the other three groups(P＜0.05).The mRNA expression levels of miR-146a-5p,aggrecan and type Ⅱ collagen were lower than those of the other three groups(P＜0.05).The mRNA expression levels of NONHSAT248596.1,chemokine receptor 4,matrix metalloproteinase 3,matrix metalloproteinase 9 and matrix metalloproteinase 13 in the miRNA group were lower than those in the ceRNA group and control group at 8 and 12 weeks after the model construction(P＜0.05).The mRNA expressions of miR-146a-5p,aggrecan and type Ⅱ collagen were higher than those of the ceRNA group and control group(P＜0.05).Western blot assay showed that at the same time point,the expression levels of aggrecan and type Ⅱ collagen in cartilage tissue of the lncRNA group were always lower than those of the other three groups(P＜0.05).The expression levels of aggrecan and type Ⅱ collagen in cartilage tissue of the miRNA group at 8 and 12 weeks after modeling were higher than those of the ceRNA group and control group(P＜0.05).The results showed that miR-146a-5p,as the target of NONHSAT248596.1,could be inhibited by the effect of its ceRNA.After acting on miR-146a-5p,NONHSAT248596.1 regulates the stromal cell derived factor type 1/chemokine receptor 4 axis to affect the expression of matrix metalloprotein,type Ⅱ collagen,and aggrecan in osteoarthritis chondrocytes,resulting in the degradation of extracellular matrix and the loss of proteoglycan.

Objective:To establish a menstrual prediction model after the first course of hormone replacement therapy(HRT)in premature ovarian insufficiency(POI)patients after allogeneic hematopoietic stem cell transplan-tation(allo-HSCT),and to provide certain reference value for formulating HRT plans.Methods:The retrospective analysis recruited 154 POI patients after allo-HSCT in the First Affiliated Hospital of Soochow University from Jan-uary 2017 to October 2022.They were divided into ideal menstruation group(n=116)and unideal menstruation group(n=38)according to menstruation after the first course of HRT.Basic characteristics and clinical data were compared in single-factor analysis to select predictive factors.Patients were randomly divided into training set and test set.The menstrual prediction model was developed based on random forest algorithm on the training set and the prediction efficiency was verified by the test set.Finally,we made a user interaction interface and deployed to the server for sharing.Results:The single-factor analysis suggested statistic difference of age of visit,body mass index(BMI),gravidity,parity,hematologic diseases,transplantation age,donor gender,follicle-stimulating hormone(FSH),Luteinizing Hormone(LH),lumbar bone mineral density(BMD)and HRT plan(P<0.05).According to mean decrease accuracy,the predictive factors included visit age,transplantation age,BMI,FSH,HRT plans,gravidity and parity.After the initial establishment of the random forest model,we improved it by adjusting ntree to 500,mtry to 6 and training/test set division to 80%/20% .We also used tenfold cross validation to reduce over-fitting.The area under curve(AUC)of the final constructed menstrual prediction model was 0.768,a sensitiv-ity of 0.695 and a specificity of 0.735.Conclusions:This study successfully established a menstrual prediction model for amenorrhea patients after allo-HSCT when finished the first course of HRT.The false positive rate was low,suggesting that if the prediction result of the model is non-ideal menstruation,we may consider adjusting HRT plans to promote menstruation in time.

Objective:To establish a menstrual prediction model after the first course of hormone replacement therapy(HRT)in premature ovarian insufficiency(POI)patients after allogeneic hematopoietic stem cell transplan-tation(allo-HSCT),and to provide certain reference value for formulating HRT plans.Methods:The retrospective analysis recruited 154 POI patients after allo-HSCT in the First Affiliated Hospital of Soochow University from Jan-uary 2017 to October 2022.They were divided into ideal menstruation group(n=116)and unideal menstruation group(n=38)according to menstruation after the first course of HRT.Basic characteristics and clinical data were compared in single-factor analysis to select predictive factors.Patients were randomly divided into training set and test set.The menstrual prediction model was developed based on random forest algorithm on the training set and the prediction efficiency was verified by the test set.Finally,we made a user interaction interface and deployed to the server for sharing.Results:The single-factor analysis suggested statistic difference of age of visit,body mass index(BMI),gravidity,parity,hematologic diseases,transplantation age,donor gender,follicle-stimulating hormone(FSH),Luteinizing Hormone(LH),lumbar bone mineral density(BMD)and HRT plan(P<0.05).According to mean decrease accuracy,the predictive factors included visit age,transplantation age,BMI,FSH,HRT plans,gravidity and parity.After the initial establishment of the random forest model,we improved it by adjusting ntree to 500,mtry to 6 and training/test set division to 80%/20% .We also used tenfold cross validation to reduce over-fitting.The area under curve(AUC)of the final constructed menstrual prediction model was 0.768,a sensitiv-ity of 0.695 and a specificity of 0.735.Conclusions:This study successfully established a menstrual prediction model for amenorrhea patients after allo-HSCT when finished the first course of HRT.The false positive rate was low,suggesting that if the prediction result of the model is non-ideal menstruation,we may consider adjusting HRT plans to promote menstruation in time.