OBJECTIVE To systematically review the current application of discrete choice experiment （DCE） in the value assessment and preference measurement of orphan medicinal product （OMP）， and to provide a reference for the standardized use of this methodology in China. METHODS The systematic search was conducted across Chinese and English databases including CNKI， Wanfang Data， VIP， CBM， PubMed， Web of Science， Medline， and Embase. Original studies that employed DCE to evaluate the value or preferences related to OMP were included. The methodological quality and reporting completeness of the included studies were assessed using the ISPOR Conjoint Analysis Checklist and the DIRECT Checklist， respectively. Respondent populations， attribute setting， and the relative importance of attributes were summarized and analyzed. RESULTS Eight eligible studies were included； all studies demonstrated high-quality reporting and methodological rigor. Respondents comprised the general public， patients/caregivers， policymakers， and other stakeholders. The number of DCE attributes ranged from 4 to 13 （median＝7.5）. Through thematic synthesis， these attributes were categorized into three dimensions， namely “disease-related” “treatment-related” and “economic/financial-related” along with 14 secondary criteria. The most frequently included secondary criteria were treatment efficacy （13 occurrences）， disease severity （9 occurrences）， safety （7 occurrences）， unmet medical need （6 occurrences）， and treatment cost （5 occurrences）. Rankings of relative importance identified treatment efficacy as the most valued criterion across most studies， followed by health insurance financing. CONCLUSIONS DCE applications in the value assessment of OMP have begun to converge on a relatively consistent core attribute framework and selection preference. Future research should further promote the use of DCE to inform attribute and criterion selection in multi-criteria decision analysis frameworks for OMP.

Lianpo Yin was first recorded in the Revised Treatise on Cholera from Suixi Residence by WANG Mengying. It is composed of seven medicinal herbs： Coptidis Rhizoma， Magnoliae Officinalis Cortex， Sojae Semen Praeparatum， Acori Tatarinowii Rhizoma， Pinelliae Rhizoma， Gardeniae Fructus， and Phragmitis Rhizoma. As one of the classic prescriptions for clearing heat， resolving dampness， regulating Qi， and harmonizing the middle energizer， it has been included in the Catalogue of Ancient Classic Prescriptions （Second Batch： Han Chinese Medicine） published by the National Administration of Traditional Chinese Medicine in 2023. Lianpo Yin is primarily indicated for cholera caused by the accumulation of dampness-heat， and it can promote digestion and eliminate phlegm. By summarizing the ancient literature records， chemical constituents of individual herbs and the compound formula， pharmacological effects， and modern clinical applications of Lianpo Yin， this paper discovers that the understandings of most ancient physicians are consistent with the original text. The pathogenesis treated by this prescription is generally attributed to the accumulation of dampness-heat in the middle energizer and disrupted ascending and descending of Qi. The main chemical components of this prescription include coptisine， trigonelline， genistein， palmatine， berberine， honokiol， and magnolol. Lianpo Yin exhibits pharmacological effects such as anti-inflammatory activity， regulation of apoptosis， modulation of mitochondrial autophagy， regulation of the hypothalamic-pituitary-adrenal （HPA） axis， promotion of gastrointestinal motility， improvement of the gastric mucosal barrier， regulation of intestinal flora and their metabolites， and antimicrobial activity. In modern clinical practice， this prescription is mainly used to treat digestive system diseases such as chronic superficial gastritis and Helicobacter pylori （Hp）-associated gastritis. Additionally， it demonstrates significant therapeutic effects on various diseases affecting the nervous， respiratory， dermatological， and cardiovascular systems. This study provides a detailed review of the ancient literature records， chemical components， pharmacological effects， and clinical applications of Lianpo Yin and its modified formulas， aiming to offer references for the dosage form development and broader clinical application of this classic prescription.

Objective: To investigate follow-up participation situation, negative conversion, and tuberculosis incidence among boarding junior and senior high school freshmen with latent tuberculosis infection(LTBI) in Zhuhai, so as to provide a reference for better LTBI management in school settings. Methods: A prospective cohort study enrolled 413 LTBI and 27 184 non LTBI boarding junior and senior high school freshmen in Zhuhai from September to October 2023. The LTBI group underwent follow up retesting at >3-6, >6-12, >12-24, >24 months after screening. The followup content included mycobacterium tuberculosis infection testing,chest X ray examination,and questionaire survey(basic demographic information, lifestyle, history of close contact with tuberculosis, and suspected symptoms of pulmonary tuberculosis). Follow-up participation, negative conversion, and tuberculosis incidence were analyzed. Rate was compared by using the Chi-square test, and factors associated with negative conversion were assessed by multivariate Logistic regression analysis. Results: Follow-up participation rates increased initially and then declined, with rates of 25.67% within >3-6 months, 37.05% within >6-12 months, 82.02% within >12-24 months, and 52.21% after 24 months. The overall negative conversion rate was 61.03%. The differences in the conversion rate to negative of mycobacterium tuberculosis infection detection among junior and senior high school freshmen in the LTBI group by different testing methods, school types, smoking history, sleep status, and academic stress were all statistically significant( χ 2=124.96, 22.70, 4.71, 6.31, 6.08, all P <0.05). Multivariate Logistic regression analysis identified testing methods, smoking history, and sleep status as factors associated with negative conversion ( OR =1.90-21.67, all P <0.05). The cumulative incidence of tuberculosis was 726.39 per 100 000 in the LTBI group versus 14.71 per 100 000 in the non-LTBI group ( RR =49.37, 95% CI =11.08-219.87, P <0.01). Conclusions Boarding junior and senior high school freshmen with LTBI in Zhuhai have a higher risk of tuberculosis than concurrent non-LTBI students; they therefore represent a priority group for tuberculosis prevention and control. Centralized follow up is recommended to improve participation, and high specificity methods should be used in follow up retesting and maintain consistency across assessments.

Intravascular large B-cell lymphoma (IVLBCL), a rare subtype of non-Hodgkin lymphoma, is classified as an independent subtype of extranodal diffuse large B-cell lymphoma (DLBCL) in the 2008 World Health Organization (WHO) Classification (Turner et al., 2010). The 5th edition of the World Health Organization (WHO 2022) classification of hematolymphoid tumors retains this subtype (Alaggio et al., 2022). IVLBCL, which is characterized by neoplastic lymphocyte proliferation within the lumen of small blood vessels, tends to invade organs, such as the nervous system, skin, bone marrow (BM), and lung (D'Angelo et al., 2019; Satoh et al., 2019; Vásquez et al., 2019; Fukami et al., 2020).
Humans ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Lymphoma, Large B-Cell, Diffuse/drug therapy* ; Vascular Neoplasms/therapy*

Objective:To explore the influencing factors of olfactory impairment in patients with obstructive sleep apnea（OSA） and establish a nomogram prediction model. Methods:A total of 100 OSA patients were enrolled. Snap&Sniff olfactory test was used to evaluate the olfactory identification function and olfactory threshold of the patients. According to the scoring criteria, either olfactory identification scores below 14 points or olfactory threshold scores below 3 points was defined as olfactory impairment. Multivariate logistic regression analysis was used to explore the influencing factors of olfactory impairment in OSA. The nomogram model was constructed by using the R 4.4.2 software package. ROC curve, calibration curve and decision curve were used to evaluate the predictive efficacy, consistency and clinical utility of the model. Results:A total of 55 of 100 OSA patients had olfactory impairment. The results of multivariate logistic regression analysis showed that age, ESS score, MoCA score, and apnea-hypopnea index（AHI） were the influencing factors of olfactory impairment in OSA. Based on the above parameters, a nomogram model was established. The ROC curve analysis showed that the AUC was 0.897（95%CI 0.834-0.961）, indicating that the model had good predictive ability. The calibration curve showed that the predicted probability of the model fits the actual probability well. Decision curve analysis showed that when the threshold probability was in the range of 0-0.9, the model had a high clinical net benefit rate. Conclusion:Age, ESS score, MoCA score and AHI are the influencing factors of olfactory impairment in patients with OSA. The nomogram model constructed based on the above factors has good predictive value, which is conducive to the clinical multi-angle understanding of OSA and the formulation of scientific prevention and treatment measures.
Humans ; Sleep Apnea, Obstructive/physiopathology* ; Nomograms ; Olfaction Disorders/etiology* ; Logistic Models ; Middle Aged ; Male ; Female ; ROC Curve ; Adult ; Aged

Objective To investigate the value of the maximum standard uptake value(SUVmax)obtained with orbital SEPCT/CT for evaluating activity of thyroid-associated ophthalmopathy(TAO)and predicting curative efficacy.Methods A total of 96 patients with initially diagnosed TAO were retrospectively collected,including 71 with clinical activity score(CAS)≥3(active group)and 25 with CAS=2(inactive group).Data of orbital SEPCT/CT were collected,and the patients were treated with hormones or immunosuppressants for 3 months.CAS was performed again within 1 week after treatment,and orbital imaging was reviewed.The patients were divided into effective group and ineffective group according to treatment results.Pretreatment(pre)SUVmax(pre-SUVmax)and imaging agent uptake rate(UR)(pre-UR)in extraocular muscle were compared between active and inactive groups.Pre-CAS,post-treatment(post)CAS(post-CAS),as well as pre-SUVmax,post-SUVmax,pre-UR,post-UR and the difference of pre-and post-treatment CAS,SUVmax and UR(△CAS,△UR,△SUVmax)of extraocular muscle were compared between effective group and ineffective group.The correlations of SUVmax,UR and CAS were analyzed.Pre-CAS,pre-SUVmax and pre-UR were included in univariate and multivariate logistic regression analysis to screen the predictors of effective treatment of TAO.Results Pre-SUVmax and pre-UR of extraocular muscle in active group were higher than those in inactive group(both P＜0.05).Among 96 cases,70 were in effective group and 26 were in ineffective group.Pre-CAS,the proportion of pre-CAS≥3 scores,pre-SUVmax,pre-UR,△CAS,△SUVmax and △UR in effective group were all higher than those in ineffective group(all P＜0.05).Pre-SUVmax and pre-UR in extraocular muscle of TAO patients were positively correlated with pre-CAS(rs=0.419,0.395,both P＜0.001),while post-SUVmax and post-UR were positively correlated with post-CAS(rs=0.322,0.221,P=0.001,0.030),△SUVmax and △UR were positively correlated with △CAS(rs=0.368,0.206,P＜0.001,P=0.044).Pre-CAS≥3(OR=2.95)and pre-SUVmax(OR=4.22)were both independent predictors of effective treatment of TAO(both P＜0.05).Conclusion SUVmax obtained with orbital SEPCT/CT could be used to quantitatively assess TAO activity and predict curative efficacy.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Objective:To observe the effect of rehabilitative exercise on knee function after anterior cruciate ligament (ACL) reconstruction.Methods:Fifty-eight patients with a reconstructed ACL were divided at random into a control group of 28 and an experimental group of 30. In addition to conventional basic treatment, the control group received routine orthopedic rehabilitation training, while the experimental group underwent exercise-based rehabilitation training 6 days a week for 6 weeks. Before and after the treatment, the efficacy in both groups was evaluated using Lysholm knee scoring (LKSS), numerical pain scoring (NRS), maximum knee flexion angle, and a thigh muscle atrophy index.Results:Both groups had significantly higher LKSS scores, lower NRS scores, larger maximum knee flexion angles, and increased thigh muscle atrophy indices, on average, after their treatments. Compared with the control group, the experimental group tended to have significantly higher LKSS scores, larger maximum knee flexion angles, and lower thigh muscle atrophy indices after the treatment. There was, however, no significant difference between the groups in their average NRS scores.Conclusions:Exercise-based rehabilitation training significantly improves the knee function of patients after ACL reconstruction, and its efficacy is superior to conventional orthopedic rehabilitation training.

This paper aimed to explore the effects of Duzhong Decoction(DZD)-containing serum on the proliferation and osteoblast differentiation of MC3T3-E1 cells through L-type voltage-gated calcium channels(L-VGCCs). L-VGCCs inhibitors, nifedipine and verapamil, were used to block L-VGCCs in osteoblasts. MC3T3-E1 cells were divided into a control group, a low-dose DZD-containing serum(L-DZD) group, a medium-dose DZD-containing serum(M-DZD) group, a high-dose DZD-containing serum(H-DZD) group, a nifedipine group, a H-DZD + nifedipine group, verapamil group, and a H-DZD + verapamil group. The CCK-8 method was used for cell proliferation analysis, alkaline phosphatase(ALP) assay kits for intracellular ALP activity measurement, Western blot for protein expression level in cells, real-time fluorescence quantitative PCR technology for intracellular mRNA expression level determination, fluorescence spectrophotometer for free Ca~(2+) concentration determination in osteoblasts, and alizarin red staining(ARS) for mineralized nodule formation in osteoblasts. The experimental results show that compared to the control group, DZD groups can promote MC3T3-E1 cell proliferation, ALP activity, and mineralized nodule formation, increase intracellular Ca~(2+) concentrations, and upregulate the protein expression of bone morphogenetic protein 2(BMP2), collagen Ⅰ(COL1), α2 subunit protein of L-VGCCs(L-VGCCα2), and the mRNA expression of Runt-related transcription factor 2(RUNX2), and BMP2. After blocking L-VGCCs with nifedipine and verapamil, the intervention effects of DZD-containing serum were inhibited to varying degrees. Both nifedipine and verapamil could inhibit ALP activity, reduce mineralized nodule areas, and downregulate the expression of bone formation-related proteins. Moreover, the effects of DZD-containing serum on increasing MC3T3-E1 cell proliferation, osteoblast differentiation, and Ca~(2+) concentrations, upregulating the mRNA expression of osteoprotegerin(OPG) and protein expression of phosphorylated protein kinase B(p-Akt) and phosphorylated forkhead box protein O1(p-FOXO1), and upregulating phosphatase and tensin homolog(PTEN) expression were reversed by nifedipine. The results indicate that DZD-containing serum can increase the Ca~(2+) concentration in MC3T3-E1 cells to promote bone formation, which may be mediated by L-VGCCs and the PTEN/Akt/FoxO1 signaling pathway, providing a new perspective on the mechanism of DZD in treating osteoporosis.
Animals ; Osteoblasts/metabolism* ; Cell Proliferation/drug effects* ; Cell Differentiation/drug effects* ; Mice ; Drugs, Chinese Herbal/pharmacology* ; Calcium Channels, L-Type/genetics* ; Alkaline Phosphatase/genetics* ; Serum/chemistry* ; Cell Line ; Osteogenesis/drug effects* ; Bone Morphogenetic Protein 2/genetics*