Signal detection is a critical task in drug safety regulation. However, it inevitably generates irrelevant or false signals, posing challenges for resource allocation by marketing authorization holders. To reasonably assess these signals, different countries have established various principles for prioritizing the evaluation of risk signals. This study systematically compares these principles and finds that the U.S. Food and Drug Administration(FDA) focuses on practical issues, such as identifying drug confusion or drug interactions. However, China's Good Pharmacovigilance Practices and the European Medicines Agency(EMA) emphasize a comprehensive evaluation framework. The Council for International Organizations of Medical Sciences(CIOMS) emphasizes the consistency of multiple data sources, highlighting the reliability of signal evaluation. China practices a multidisciplinary approach combining traditional Chinese and western medicine, and the risk signals related to traditional Chinese medicine(TCM) have unique characteristics, including complex components, cumulative toxicity, specific theoretical foundations, and drug interactions. The different priorities in risk signal evaluation principles across countries suggest that China should strengthen clinical trial research, emphasize corroboration with evidence of multiple sources, and pay particular attention to the risks of drug interactions in the TCM regulatory science. Establishing the risk signal prioritization principles that align with the characteristics of TCM enables more precise and efficient scientific regulation of TCM.
Humans ; Medicine, Chinese Traditional/standards* ; China ; Drugs, Chinese Herbal/adverse effects* ; United States ; United States Food and Drug Administration

Varicocele (VC) is a common cause of male infertility, yet there is a lack of molecular information for VC-associated male infertility. This study investigated alterations in the seminal plasma metabolomic and lipidomic profiles of infertile male VC patients. Twenty infertile males with VC and twenty-three age-matched healthy controls (HCs) were recruited from Peking Union Medical College Hospital (Beijing, China) between October 2019 and April 2021. Untargeted metabolite and lipid profiles from seminal plasma were analyzed using mass spectrometry. Four hundred and seventy-six metabolites and seventeen lipids were significantly different in infertile male VC patients compared to HCs. The top enriched pathways among these significantly different metabolites are protein digestion and absorption, aminoacyl-transfer RNA (tRNA) biosynthesis, and biosynthesis of amino acids. Different key lipid species, including triglyceride (TG), diacylglycerol (DG), ceramides (Cer), and phosphatidylserine (PS), varied between VC and HC groups. The distinct metabolites and lipids were moderately correlated. DL-3-phenyllactic acid is a potential diagnostic biomarker for VC-related male infertility (area under the curve [AUC] = 0.893), positively correlating with sperm count, concentration, and motility. Furthermore, DL-3-phenyllactic acid is the only metabolite shared by all four comparisons (VC vs HC, VC-induced oligoasthenospermia [OAS] vs VC-induced asthenospermia [AS], OAS vs HC, and AS vs HC). DL-3-phenyllactic acid significantly decreased in OAS than AS. Metabolite-targeting gene analysis revealed carbonic anhydrase 9 (CA9) might be the strongest candidate associated with the onset and severity of VC. The seminal plasma metabolite and lipid profiles of infertile males with VC differ significantly from those of HCs. DL-3-phenyllactic acid could be a promising biomarker.
Humans ; Male ; Varicocele/complications* ; Infertility, Male/etiology* ; Semen/metabolism* ; Lipidomics ; Adult ; Metabolomics ; Case-Control Studies ; Biomarkers/metabolism*

This study aimed to investigate the associations between the post-wash total progressively motile sperm count (TPMSC) in the first intrauterine insemination (IUI) cycle and pregnancy outcomes of the second IUI cycle. Data were retrieved from the clinical database at the Reproductive Center of Peking University Third Hospital (Beijing, China) between January 2011 and December 2022. Couples were included in this retrospective cohort study if they had unexplained or mild male factor infertility and were treated with IUI for two consecutive cycles using the same protocol. A total of 8290 couples were included in the analysis. The mean ± standard deviation (s.d.) age of women was 32.0 ± 3.5 years. We categorized groups based on the post-wash TPMSC (×10 6 ) levels in the first IUI cycle: group 1 (0 < TPMSC < 1, n = 1290), group 2 (1 ≤ TPMSC < 2, n = 863), group 3 (2 ≤ TPMSC < 3, n = 800), group 4 (3 ≤ TPMSC < 4, n = 783), group 5 (4 ≤ TPMSC < 5, n = 1541), group 6 (5 ≤ TPMSC < 6, n = 522), group 7 (6 ≤ TPMSC < 7, n = 547), group 8 (7 ≤ TPMSC < 8, n = 175), group 9 (8 ≤ TPMSC < 9, n = 556), group 10 (9 ≤ TPMSC < 10, n = 192), and group 11 (TPMSC ≥ 10), n = 1021). The primary outcome was live birth rate of the second IUI cycle. Live birth rates were 7.9%, 5.8%, 7.6%, 7.4%, 7.3%, 8.4%, 7.5%, 7.4%, 8.8%, 8.9%, and 7.6% in each group, respectively. There were no statistically significant differences in clinical pregnancy rates or live birth rates between any groups and those with the post-wash TPMSC <1 × 10 6 . In an IUI program for unexplained and mild male factor infertility, the post-wash TPMSC in the first IUI cycle was not significantly associated with the live birth rate in the second IUI cycle.
Humans ; Female ; Male ; Pregnancy ; Adult ; Retrospective Studies ; Sperm Count ; Pregnancy Rate ; Sperm Motility/physiology* ; Insemination, Artificial/methods* ; Pregnancy Outcome ; Infertility, Male/therapy* ; Insemination, Artificial, Homologous ; Live Birth

BACKGROUND: Based on the China-VHD database, this study sought to develop and validate a Valvular Heart Disease- specific Age-adjusted Comorbidity Index (VHD-ACI) for predicting mortality risk in patients with VHD. METHODS & RESULTS: The China-VHD study was a nationwide, multi-centre multi-centre cohort study enrolling 13,917 patients with moderate or severe VHD across 46 medical centres in China between April-June 2018. After excluding cases with missing key variables, 11,459 patients were retained for final analysis. The primary endpoint was 2-year all-cause mortality, with 941 deaths (10.0%) observed during follow-up. The VHD-ACI was derived after identifying 13 independent mortality predictors: cardiomyopathy, myocardial infarction, chronic obstructive pulmonary disease, pulmonary artery hypertension, low body weight, anaemia, hypoalbuminaemia, renal insufficiency, moderate/severe hepatic dysfunction, heart failure, cancer, NYHA functional class and age. The index exhibited good discrimination (AUC, 0.79) and calibration (Brier score, 0.062) in the total cohort, outperforming both EuroSCORE II and ACCI (P < 0.001 for comparison). Internal validation through 100 bootstrap iterations yielded a C statistic of 0.694 (95% CI: 0.665-0.723) for 2-year mortality prediction. VHD-ACI scores, as a continuous variable (VHD-ACI score: adjusted HR (95% CI): 1.263 (1.245-1.282), P < 0.001) or categorized using thresholds determined by the Yoden index (VHD-ACI ≥ 9 vs. < 9, adjusted HR (95% CI): 6.216 (5.378-7.184), P < 0.001), were independently associated with mortality. The prognostic performance remained consistent across all VHD subtypes (aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid valve disease, mixed aortic/mitral valve disease and multiple VHD), and clinical subgroups stratified by therapeutic strategy, LVEF status (preserved vs. reduced), disease severity and etiology. CONCLUSION The VHD-ACI is a simple 13-comorbidity algorithm for the prediction of mortality in VHD patients and providing a simple and rapid tool for risk stratification.

Objective To analyze the clinical characteristics of high energy metabolism in lung cancer patients and its correlation with body composition,nutritional status,and quality of life,and to develop a corresponding risk prediction model.Methods Retrospectively analyzed 132 primary lung cancer patients admitted to the First Hospital of Shanxi Medical University from January 2022 to May 2023,and categorized into high(n=94)and low energy metabolism group(n=38)based on their metabolic status.Differences in clinical data,body composition,Patient Generated Subjective Global Assessment(PG-SGA)scores,and European Organization for Research and treatment of Cancer(EORTC)Quality of Life Questionnaire-Core 30(QLQ-C30)scores were compared between the two groups.Logistic regression was used to identify the risk factors for high energy metabolism in lung cancer patients,and a risk prediction model was established accordingly;the Hosmer-Lemeshow test was used to assess the model fit,and the ROC curve was used to test the predictive efficacy of the model.Results Of the 132 patients with primary lung cancer,94(71.2%)exhibited high energy metabolism.Compared with low energy metabolism group,patients in high-energy metabolism group had a smoking index of 400 or higher,advanced disease staging of stage Ⅲ or Ⅳ,and higher levels of IL-6 level,low adiposity index,low skeletal muscle index,and malnutrition(P<0.05),and lower levels of total protein,albumin,hemoglobin level,and prognostic nutritional index(PNI)(P<0.05).There was no significant difference in age,gender,height,weight,BMI and disease type between the two groups(P>0.05).Logistic regression analysis showed that smoking index≥400,advanced disease stage,IL-6≥3.775 ng/L,and PNI<46.43 were independent risk factors for high energy metabolism in lung cancer patients.The AUC of the ROC curve for the established prediction model of high energy metabolism in lung cancer patients was 0.834(95%CI 0.763-0.904).Conclusion The high energy metabolic risk prediction model of lung cancer patients established in this study has good fit and prediction efficiency.

Objective To establish a normal three-dimensional model of the hip bone in adolescents aged 10-19 years old,analyze the morphology and positional parameters of the posterior superior iliac spine of the hip bone among different genders,sides,and ages,which can supplement the study of the anatomical morphology of the hip bone and to provide a reference for the diagnosis of the clinically relevant diseases and for the therapeutic manipulation and localization of the hip bone.Methods Forty adolescent patients aged 10-19 years without previous spinal pelvic diseases were selected,and the pelvic CT image data were collected and imported into Mimics 21.0 software to establish the model.The relative position parameters of the posterior superior iliac spine and the surrounding anatomical landmarks included the length from the posterior superior iliac spine to the anterior superior iliac spine(ab),the length from the tip of the posterior superior iliac spine to the sciatica(ac),the length from the tip of the posterior superior iliac spine to the pubic tubercle(ae),the length from the tip of the posterior superior iliac spine to the midpoint of the posterior margin of the auricular joint surfaces(af),the length from the tip of the posterior superior iliac spine to the iliac spine turn(ag),and the length from the sciatica tubercle to the highest point of the iliac spine(cd).The local parameters of the posterior superior iliac spine included the width(W0)and the thickness(H0)at point A.The maximum width of the posterior iliac spine(WMAX),its distance from point a(D0),and the width of the iliac spine were measured at 0.5,1,and 1.5 cm from point a,and were recorded sequentially as W1,W2,and W3.The width of the iliac spine at the turn of the iliac spine(point g)was measured(W4).The relative positions and parameters of the posterior superior iliac spine to the surrounding anatomical landmarks and the localized parameters of the posterior superior iliac spine were compared sequentially for different genders,sides,and age groups.Results In the measurement result of the parameters of the posterior superior iliac spine and the surrounding anatomical landmarks,the differences in the comparisons between different genders of the ac,ae,and af indexes were statistically significant(P＜0.05),and the differences in the comparisons between different genders of the ab,ag,and cd indexes were not statistically significant(P＞0.05).The differences in the comparisons between the right and left sides of the ab,ac,ae,af,ag,and cd indexes were not statistically significant(P＞0.05).The difference in comparison between different age groups of ab,ac,ae,af,ag,and cd indicators was statistically significant(P＜0.05).In the measurement result of the local parameters of the posterior superior iliac spine,the difference in the comparison between the sexes of the W0,W1,W2,WMAX,and H0 indexes was statistically significant(P＜0.05),and the difference in the comparison between the sexes of the W3,W4,and D0 indexes was not statistically significant(P＞0.05);And the difference in the comparison between the left and right sides of the W0,W1,W2,and the right and left sides of the W3,W4,WMAX,D0,and H0 indexes was not statistically significant(P＞0.05);The difference between W0,W1,W2,W3,W4,WMAX,D0,H0 indicators compared between different age groups was not statistically significant(P＞0.05).Conclusion Adolescent females have overall greater pelvic parameters than males,with wider and thicker tips of the posterior superior iliac spine in females and narrower and thinner tips of the posterior superior iliac spine in males;Pelvic parameters show a tendency to increase with age,while the width and thickness of the posterior superior iliac spine,as well as the width of the cephalic end to the iliac spine remain essentially unchanged.

Objective To explore potential predictive biomarkers for preeclampsia by analyzing the expression and characteristics of vascular-related inflammatory proteins in the serum of preeclamptic pregnant women.Methods A case-control study was conducted from Sep 2017 to Sep 2018 in the Obstetrics and Gynecology Hospital,Fudan University.Preeclamptic pregnant women and normotensive pregnant controls during the same period were recruited.The concentration of 12 vascular inflammation-related proteins in the patients'serum was determined by multiplex flow cytometry.The vascular-related inflammatory molecules were subjected to differential analysis by non-parametric t-test to obtain preeclampsia-related vascular inflammatory proteins.Finally,high-risk preeclampsia pregnancy serum samples from the biobank were retrieved.Serum concentrations of preeclampsia-related vascular inflammatory proteins were determined,and receiver operating characteristic(ROC)curve analysis was conducted for preliminary predictive assessment of preeclampsia.Results This study conducted a quantitative analysis of serum vascular inflammatory proteins in 39 cases of preeclampsia and 43 cases of control pregnant women,detecting 10 vascular inflammatory proteins expressed in maternal serum.Among these,myoglobin and vascular cell adhesion molecule-1(VCAM-1)exhibited significant elevation in the serum of preeclamptic pregnant women,while matrix metalloproteinase-9(MMP-9)showed a marked decrease.ROC curve analysis revealed that in 96 high-risk early pregnancy women,the area under the curve(AUC)for VCAM-1 reached 0.802,whereas myoglobin and MMP-9 did not significantly predict the occurrence of preeclampsia.Conclusion Preeclampsia patients exhibit abnormal expression of serum inflammatory proteins,among which VCAM-1 may be a potential biological marker for early pregnancy preeclampsia risk prediction.

Objective To investigate the incidence and risk factors for acute kidney injury(AKI)in children with primary nephrotic syndrome(PNS),as well as the role of neutrophil gelatinase-associated lipocalin(NGAL)and kidney injury molecule-1(KIM-1)in the early identification of AKI in these children.Methods A prospective collection of clinical data from children hospitalized with PNS at the Children's Hospital of the Capital Institute of Pediatrics from January 2021 to October 2022 was conducted.The children were divided into two groups based on the presence of AKI:the AKI group(47 cases)and the non-AKI group(169 cases).The risk factors for AKI in children with PNS were identified by multivariate logistic regression analysis.Urinary KIM-1 and NGAL levels were compared between the AKI and non-AKI groups,as well as among the different stages of AKI.Results The incidence of AKI in children with PNS was 21.8%.Multivariate logistic regression analysis revealed that steroid-resistant nephrotic syndrome,gastrointestinal infections,and heavy proteinuria were independent risk factors for AKI in these children with PNS(P<0.05).Urinary KIM-1 and NGAL levels were higher in the AKI group compared to the non-AKI group(P<0.05),and the urinary NGAL and KIM-1 levels in the AKI stage 2 and stage 3 subgroups were higher than those in the AKI stage 1 subgroup(P<0.017).Conclusions KIM-1 and NGAL can serve as biomarkers for the early diagnosis of AKI in children with PNS.Identifying high-risk populations for AKI in children with PNS and strengthening the monitoring of related risk factors is of significant importance.

Objective:To retrospectively analyze the treatment status of tyrosine kinase inhibitors (TKI) in newly diagnosed patients with chronic myeloid leukemia (CML) in China.Methods:Data of chronic phase (CP) and accelerated phase (AP) CML patients diagnosed from January 2006 to December 2022 from 77 centers, ≥18 years old, and receiving initial imatinib, nilotinib, dasatinib or flumatinib-therapy within 6 months after diagnosis in China with complete data were retrospectively interrogated. The choice of initial TKI, current TKI medications, treatment switch and reasons, treatment responses and outcomes as well as the variables associated with them were analyzed.Results:6 893 patients in CP ( n=6 453, 93.6%) or AP ( n=440, 6.4%) receiving initial imatinib ( n=4 906, 71.2%), nilotinib ( n=1 157, 16.8%), dasatinib ( n=298, 4.3%) or flumatinib ( n=532, 7.2%) -therapy. With the median follow-up of 43 ( IQR 22-75) months, 1 581 (22.9%) patients switched TKI due to resistance ( n=1 055, 15.3%), intolerance ( n=248, 3.6%), pursuit of better efficacy ( n=168, 2.4%), economic or other reasons ( n=110, 1.6%). The frequency of switching TKI in AP patients was significantly-higher than that in CP patients (44.1% vs 21.5%, P<0.001), and more AP patients switched TKI due to resistance than CP patients (75.3% vs 66.1%, P=0.011). Multi-variable analyses showed that male, lower HGB concentration and ELTS intermediate/high-risk cohort were associated with lower cytogenetic and molecular responses rate and poor outcomes in CP patients; higher WBC count and initial the second-generation TKI treatment, the higher response rates; Ph + ACA at diagnosis, poor PFS. However, Sokal intermediate/high-risk cohort was only significantly-associated with lower CCyR and MMR rates and the poor PFS. Lower HGB concentration and larger spleen size were significantly-associated with the lower cytogenetic and molecular response rates in AP patients; initial the second-generation TKI treatment, the higher treatment response rates; lower PLT count, higher blasts and Ph + ACA, poorer TFS; Ph + ACA, poorer OS. Conclusion:At present, the vast majority of newly-diagnosed CML-CP or AP patients could benefit from TKI treatment in the long term with the good treatment responses and survival outcomes.

Objective:To investigate the current status of exercise fear in patients with chronic heart failure (CHF) and explore the different potential classifications and influencing factors of exercise fear, in order to provide theoretical basis for formulating targeted interventions.Methods:The subjects of this study were 278 patients with CHF treated in the Department of Cardiology, the First Affiliated Hospital of Xinjiang Medical University from July 2023 to November 2023 using convenience sampling method. A questionnaire survey was conducted using a general information questionnaire, Fear of Activity in Patients with Chronic Heart Failure, Cardiac Exercise Self-Efficacy Instrument, Personal Support Scale From Family, and Multidimensional Fatigue Index-20. Latent profile analysis to identify potential subtypes of motor fear in patients, and unordered multiple logistic regression to evaluate the influencing factors of different subtypes were used.Results:Totally 278 valid questionnaires were collected, including 96 females and 182 males, with a majority aged between 60 and 74 years old, with 114 cases accounting for 41.0%. The 278 CHF patients had a fear of movement score of (34.78 ± 13.17) points were divided into three potential categories based on their fear of movement: low-level fear of movement group (107 cases, 38.5%), moderate fear of movement group (108 cases, 38.8%), and high-level fear of movement group (63 cases, 22.7%). Disordered multiple logistic regression analysis showed that family support level ( OR = 2.520), exercise self-efficacy ( OR = 0.913), and fatigue ( OR = 1.065) were significant influencing factors for high-level exercise fear in CHF patients (all P<0.05), while age, education level, disease course, number of coexisting diseases, family support level, exercise self-efficacy, and fatigue were significant influencing factors for high-level exercise fear in CHF patients ( OR values ranged from 0.007 to 6.292, all P<0.05). Conclusions:There are three potential categories of exercise fear in patients with CHF. Medical staff should develop targeted intervention plans based on the characteristics of different categories of patients to reduce their level of exercise fear.