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.

The medicinal materials of Bawei Chenxiang Pills(BCPs) were extracted via three methods: reflux extraction by water, reflux extraction by 70% ethanol, and extraction by pure water following reflux extraction by 70% ethanol, yielding three extracts of ST, CT, and CST. The efficacy of ST(760 mg·kg~(-1)), CT(620 mg·kg~(-1)), and CST(1 040 mg·kg~(-1)) were evaluated by acute myocardial ischemia(AMI) and p-chlorophenylalanine(PCPA)-induced insomnia in mice, respectively. Western blot was further utilized to investigate their hypnosis mechanisms. The main chemical components of different extracts were identified by the UPLC-Q-Exactive-MS technique. The results showed that CT and CST significantly increased the ejection fraction(EF) and fractional shortening(FS) of myocardial infarction mice, reduced left ventricular internal dimension at end-diastole(LVIDd) and left ventricular internal dimension at end-systole(LVIDs). In contrast, ST did not exhibit significant effects on these parameters. In the insomnia model, CT significantly reduced sleep latency and prolonged sleep duration, whereas ST only prolonged sleep duration without shortening sleep latency. CST showed no significant effects on either sleep latency or sleep duration. Additionally, both CT and ST upregulated glutamic acid decarboxylase 67(GAD67) protein expression in brain tissue. A total of 15 main chemical components were identified from CT, including 2-(2-phenylethyl) chromone and 6-methoxy-2-(2-phenylethyl) chromone. Six chemical components including chebulidic acid were identified from ST. The results suggested that chromones and terpenes were potential anti-myocardial ischemia drugs of BCPs, and tannin and phenolic acids were potential hypnosis drugs. This study enriches the pharmacological and chemical research of BCPs, providing a basis and reference for their secondary development, quality standard improvement, and clinical application.
Animals ; Drugs, Chinese Herbal/isolation & purification* ; Mice ; Male ; Sleep Initiation and Maintenance Disorders/physiopathology* ; Humans ; Myocardial Infarction/drug therapy* ; Myocardial Ischemia/drug therapy*

This study primarily aimed to investigate the prevalence of human papillomavirus (HPV) and other common pathogens of sexually transmitted infections (STIs) in spermatozoa of infertile men and their effects on semen parameters. These pathogens included Ureaplasma urealyticum, Ureaplasma parvum, Chlamydia trachomatis, Mycoplasma genitalium , herpes simplex virus 2, Neisseria gonorrhoeae, Enterococcus faecalis, Streptococcus agalactiae, Pseudomonas aeruginosa , and Staphylococcus aureus . A total of 1951 men of infertile couples were recruited between 23 March 2023, and 17 May 2023, at the Department of Reproductive Medicine of The First People's Hospital of Yunnan Province (Kunming, China). Multiplex polymerase chain reaction and capillary electrophoresis were used for HPV genotyping. Polymerase chain reaction and electrophoresis were also used to detect the presence of other STIs. The overall prevalence of HPV infection was 12.4%. The top five prevalent HPV subtypes were types 56, 52, 43, 16, and 53 among those tested positive for HPV. Other common infections with high prevalence rates were Ureaplasma urealyticum (28.3%), Ureaplasma parvum (20.4%), and Enterococcus faecalis (9.5%). The prevalence rates of HPV coinfection with Ureaplasma urealyticum, Ureaplasma parvum, Chlamydia trachomatis, Mycoplasma genitalium , herpes simplex virus 2, Neisseria gonorrhoeae, Enterococcus faecalis, Streptococcus agalactiae , and Staphylococcus aureus were 24.8%, 25.4%, 10.6%, 6.4%, 2.4%, 7.9%, 5.9%, 0.9%, and 1.3%, respectively. The semen volume and total sperm count were greatly decreased by HPV infection alone. Coinfection with HPV and Ureaplasma urealyticum significantly reduced sperm motility and viability. Our study shows that coinfection with STIs is highly prevalent in the semen of infertile men and that coinfection with pathogens can seriously affect semen parameters, emphasizing the necessity of semen screening for STIs.
Humans ; Male ; Infertility, Male/epidemiology* ; Coinfection/microbiology* ; Papillomavirus Infections/virology* ; Adult ; Sexually Transmitted Diseases/complications* ; China/epidemiology* ; Staphylococcus aureus/isolation & purification* ; Chlamydia trachomatis/isolation & purification* ; Prevalence ; Mycoplasma genitalium/isolation & purification* ; Ureaplasma urealyticum/isolation & purification* ; Neisseria gonorrhoeae/isolation & purification* ; Enterococcus faecalis/isolation & purification* ; Streptococcus agalactiae/isolation & purification* ; Herpesvirus 2, Human/genetics* ; Pseudomonas aeruginosa/isolation & purification* ; Semen/virology* ; Sperm Motility ; Spermatozoa/microbiology* ; Human Papillomavirus Viruses

AIM To compare the effects of Shaoling Formula emulsion versus its decoction on epidermal barrier function in a psoriasis mouse model.METHODS The Shaoling Formula emulsion was prepared by emulsification,whereas the decoction was produced by aqueous extraction.A psoriasis-like mouse model was established by topical application of 5％imiquimod cream(50 mg).The mice were randomly assigned to normal control,model control,Shaoling Formula emulsion group(13.26 g/kg),Shaoling Formula decoction group(13.26 g/kg),blank emulsion group,and positive control group(calcipotriol betamethasone ointment group,2.5 g/kg).After treatment for six consecutive days,the mice had their severity of skin lesions assessed with psoriasis area and severity index(PASI)scoring.Upon the completion of the treatment,the mice had transepidermal water loss(TEWL)and stratum corneum hydration(SCH)determined by the GPSkin Barrier;their histopathological changes in skin lesions observed using HE staining;their levels of TNF-α,IL-6,IL-17A,IL-22,and IL-23 in lesions detected by ELISA;and their Aquaporin 3(AQP3)expression analyzed by Western blot.RESULTS Compared to the model group,both the Shaoling Formula emulsion and positive control group demonstrated significant reductions in PASI scores(P＜0.01)and increased SCH(P＜0.01);decreased serum levels of TNF-α,IL-6,IL-17A,IL-22 and IL-23(P＜0.05,P＜0.01);histopathological improvements including attenuated parakeratosis/hyperkeratosis,reduced acanthosis,diminished dermal inflammatory cell infiltration,and normalized vasodilation;and upregulated AQP3 expression(P＜0.05).The Shaoling Formula decoction group exhibited reduced PASI scores(P＜0.01);and increased SCH(P＜0.05);decreased levels of IL-6,IL-17A,IL-22 and IL-23 in skin lesions(P＜0.05,P＜0.01).Notably,the emulsion group exhibited higher AQP3 protein expression than the decoction group(P＜0.05).CONCLUSION Shaoling Formula emulsion outperforms its decoction in restoring epidermal barrier function in psoriatic mice.This superiority is mechanistically linked to enhanced AQP3 protein expression and improved SCH.

Objective To explore the value of deep learning image reconstruction(DLIR)by comparing subjective and objec-tive evaluation of DLIR and adaptive statistical iterative reconstruction(ASIR-V)images in gastric cancer CT.Methods Abdominal CT images in the venous phase of 80 untreated patients with primary gastric cancer were included,and five CT reconstruction meth-ods of 50％ASIR-V,80％ASIR-V,DLIR-low(DLIR-L),DLIR-medium(DLIR-M)and DLIR-high(DLIR-H)were adopted,respec-tively.The objective evaluation included background standard deviation(SD),signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR)values and pericancerous fat density resolution.The subjective evaluation included SD,overall image quality,the display of gastric cancer lesions,and diagnostic confidence in whether the serosal surface of the gastric wall was infiltrated.Results The subjective and objective evalua-tion indicators showed statistically significant differences among the five reconstruction models(P＜0.001).In terms of objective evalua-tion,the SD value of gastric cancer lesions in the DLIR-H was the lowest,while the SNR and CNR values were the highest among the five groups.In terms of subjective evaluation,the DLIR-M had the highest scores in gastric cancer lesions display,overall image quality and diagnostic confidence among the five groups.Conclusion Compared with ASIR-V,DLIR can significantly reduce image noise and improve image quality,and DLIR-M and DLIR-H are respectively the optimal subjective and objective reconstruction models for showing gastric cancer lesions.

Objective To explore the value of deep learning image reconstruction(DLIR)by comparing subjective and objec-tive evaluation of DLIR and adaptive statistical iterative reconstruction(ASIR-V)images in gastric cancer CT.Methods Abdominal CT images in the venous phase of 80 untreated patients with primary gastric cancer were included,and five CT reconstruction meth-ods of 50％ASIR-V,80％ASIR-V,DLIR-low(DLIR-L),DLIR-medium(DLIR-M)and DLIR-high(DLIR-H)were adopted,respec-tively.The objective evaluation included background standard deviation(SD),signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR)values and pericancerous fat density resolution.The subjective evaluation included SD,overall image quality,the display of gastric cancer lesions,and diagnostic confidence in whether the serosal surface of the gastric wall was infiltrated.Results The subjective and objective evalua-tion indicators showed statistically significant differences among the five reconstruction models(P＜0.001).In terms of objective evalua-tion,the SD value of gastric cancer lesions in the DLIR-H was the lowest,while the SNR and CNR values were the highest among the five groups.In terms of subjective evaluation,the DLIR-M had the highest scores in gastric cancer lesions display,overall image quality and diagnostic confidence among the five groups.Conclusion Compared with ASIR-V,DLIR can significantly reduce image noise and improve image quality,and DLIR-M and DLIR-H are respectively the optimal subjective and objective reconstruction models for showing gastric cancer lesions.

AIM To compare the effects of Shaoling Formula emulsion versus its decoction on epidermal barrier function in a psoriasis mouse model.METHODS The Shaoling Formula emulsion was prepared by emulsification,whereas the decoction was produced by aqueous extraction.A psoriasis-like mouse model was established by topical application of 5％imiquimod cream(50 mg).The mice were randomly assigned to normal control,model control,Shaoling Formula emulsion group(13.26 g/kg),Shaoling Formula decoction group(13.26 g/kg),blank emulsion group,and positive control group(calcipotriol betamethasone ointment group,2.5 g/kg).After treatment for six consecutive days,the mice had their severity of skin lesions assessed with psoriasis area and severity index(PASI)scoring.Upon the completion of the treatment,the mice had transepidermal water loss(TEWL)and stratum corneum hydration(SCH)determined by the GPSkin Barrier;their histopathological changes in skin lesions observed using HE staining;their levels of TNF-α,IL-6,IL-17A,IL-22,and IL-23 in lesions detected by ELISA;and their Aquaporin 3(AQP3)expression analyzed by Western blot.RESULTS Compared to the model group,both the Shaoling Formula emulsion and positive control group demonstrated significant reductions in PASI scores(P＜0.01)and increased SCH(P＜0.01);decreased serum levels of TNF-α,IL-6,IL-17A,IL-22 and IL-23(P＜0.05,P＜0.01);histopathological improvements including attenuated parakeratosis/hyperkeratosis,reduced acanthosis,diminished dermal inflammatory cell infiltration,and normalized vasodilation;and upregulated AQP3 expression(P＜0.05).The Shaoling Formula decoction group exhibited reduced PASI scores(P＜0.01);and increased SCH(P＜0.05);decreased levels of IL-6,IL-17A,IL-22 and IL-23 in skin lesions(P＜0.05,P＜0.01).Notably,the emulsion group exhibited higher AQP3 protein expression than the decoction group(P＜0.05).CONCLUSION Shaoling Formula emulsion outperforms its decoction in restoring epidermal barrier function in psoriatic mice.This superiority is mechanistically linked to enhanced AQP3 protein expression and improved SCH.

Objective To develop a portable medical oxygen purity analyzer capable of real-time detection of multi-compo-nent gases in medical oxygen or aviation oxygen to ensure the safety of oxygen consumption.Methods The portable medical oxygen purity analyzer with STM3F103RC as the main controller involved in a management module,an oxygen detection module,a carbon monoxide/chlorine detection module,a flow/carbon dioxide detection module and a dew point detection module as its hardware components,which had its human-machine interface programmed with DGUS supervision,control and data acquisition(SCADA)software and system program developed with C language under Keil MDK environment.The performance verification of the analyzer developed was carried out in terms of oxygen detection error and stability and errors for measuring carbon monoxide,chlorine and carbon dioxide.Results The analyzer showed high precision when used to detect oxygen with high volume fraction,with long-term stability and the absolute error restrained within±0.1％;the erros for measuring carbon monoxide,chlorine and carbon dioxide were all limited within±5％FS to meet the desired requirements.Condusion The portable medical oxygen purity analyzer developed with high precision,stability and portability can be used for detection of medical oxygen and aviation oxygen.[Chinese Medical Equipment Journal,2024,45(3):36-40]

AIM To investigate the effects of Sanshiliudang Kange Powder on airway inflammation in bronchial asthma remission of mice.METHODS Seventy-eight BALB/c mice were randomly divided into the blank group,the model group,the dexamethasone group(0.5 mg/kg)and the low-dose,medium-dose and high-dose Sanshiliudang Kange Powder groups(9.3,18.6 and 37.2 g/kg).Except for those of the blank group,the mice of the other groups were sensitized by intraperitoneal injection of ovalbumin(OVA)and aluminum hydroxide mixture,and induced into models of asthma remission followed by 28 days consecutive corresponding drug administration which was initiated on the 77th day of modeling.The mice had their pulmonary pathological changes observed by HE staining;their levels of IL-1β,IL-6,TNF-α,HMGB1 and NF-κB in serum and alveolar fluid determined by ELISA;and their pulmonary protein expressions of TLR4,MyD88,NF-κB p65 and p-NF-κB p65 determined by Western blot.RESULTS Compared with the model group,each group intervened with a drug displayed significantly reduced pulmonary pathological injury and inflammation;decreased levels of IL-1β,IL-6,TNF-α,HMGB1,NF-κB in serum and BALF(P＜0.01);and decreased pulmonary protein expressions of TLR4,MyD88,p-NF-κB p65/NF-κB p65(P＜0.01).Generally,the medium-dose Sanshiliudang Kange Powder group demonstrated a very good efficacy,which was only inferior to that of the dexamethasone group.CONCLUSION Sanshiliudang Kange Powder has a good inhibitory effect on airway inflammation in bronchial asthma remission of mice,and its mechanism may be related to the inhibited activation of HMGB1/TLR4/MyD88 signal pathway.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*