OBJECTIVE: To evaluate the clinical efficacy and safety of Yangxue Qingnao Pills (YXQNP) combined with amlodipine in treating patients with grade 1 hypertension. METHODS: This is a multicenter, randomized, double-blind, and placebo-controlled study. Adult patients with grade 1 hypertension of blood deficiency and Gan (Liver)-yang hyperactivity syndrome were randomly divided into the treatment or the control groups at a 1:1 ratio. The treatment group received YXQNP and amlodipine besylate, while the control group received YXQNP's placebo and amlodipine besylate. The treatment duration lasted for 180 days. Outcomes assessed included changes in blood pressure, Chinese medicine (CM) syndrome scores, symptoms and target organ functions before and after treatment in both groups. Additionally, adverse events, such as nausea, vomiting, rash, itching, and diarrhea, were recorded in both groups. RESULTS: A total of 662 subjects were enrolled, of whom 608 (91.8%) completed the trial (306 in the treatment and 302 in the control groups). After 180 days of treatment, the standard deviations and coefficients of variation of systolic and diastolic blood pressure levels were lower in the treatment group compared with the control group. The improvement rates of dizziness, headache, insomnia, and waist soreness were significantly higher in the treatment group compared with the control group (P<0.05). After 30 days of treatment, the overall therapeutic effects on CM clinical syndromes were significantly increased in the treatment group as compared with the control group (P<0.05). After 180 days of treatment, brachial-ankle pulse wave velocity, ankle brachial index and albumin-to-creatinine ratio were improved in both groups, with no statistically significant differences (P>0.05). No serious treatment-related adverse events occurred during the study period. CONCLUSIONS Combination therapy of YXQNP with amlodipine significantly improved symptoms such as dizziness and headache, reduced blood pressure variability, and showed a trend toward lowering urinary microalbumin in hypertensive patients. These findings suggest that this regimen has good clinical efficacy and safety. (Registration No. ChiCTR1900022470).
Humans ; Amlodipine/adverse effects* ; Drugs, Chinese Herbal/adverse effects* ; Male ; Female ; Hypertension/complications* ; Middle Aged ; Treatment Outcome ; Drug Therapy, Combination ; Adult ; Blood Pressure/drug effects* ; Double-Blind Method ; Aged ; Antihypertensive Agents/adverse effects*

Objective To design a portable intelligent cleaner for medical lumen instruments to enhance cleaning efficiency.Methods The portable intelligent cleaner had a box-body shape and a shell made of 304 stainless steel,which was composed of a circuit control board,a micro pump,lithium batteries,a charging interface,a rinse tube and connectors.The circuit control board used a STM32G030C8T6 integraged circuit,which was equipped with a countdown digital tube to display the time left for cleaning;the micro pump and lithium batteries were placed at the inner wall of the box bottom,the charging interface and water inlet/outlet inteface were put on the outside of the front wall of the box bottom,the water inlet/outlet interface was connected with a silicon rinse tube linked to an adapter at its distal end,and the adapters with different calibers were compatible with sizes of medical lumen instruments.Totally 9 672 pieces of lumen instruments received by some hospital's disinfection supply center from May to October 2021 were divided into 2 groups with the convenience sampling method,with 4 836 pieces in each group.The odd-numbered instruments were enrolled into a control group and cleaned with an ultrasonic cleaner and a lumen brush,and the even-numbered instruments were included into an experimental group and cleaned conventionally after pretreatment by the intelligent cleaner.The two groups were compared in terms of eaning efficiency and satisfaction.Results Testing by visual inspection,magnifying glass with light source and white stripe method showed that the experimental group behaved better than the control group in the cleaning qualification rate,whose satisfaction rate(100％)was also higher than that of the control group(86.53％),with all the differences being statistically significant(P＜0.05).Conclusion The portable cleaner with easy operation enhances the cleaning quality and efficiency for medical lumen instruments.[Chinese Medical Equipment Journal,2024,45(10):114-117]

Glyceryl phenylbutyrate(GPB)serves as a long-term management medication for Ornithine transcarbamylase deficiency(OTCD),effectively controlling hyperammonemia,but there is a lack of experience in using this medicine in China.This article retrospectively analyzes the case of a child diagnosed with OTCD at Shanghai Children's Medical Center,Shanghai Jiao Tong University School of Medicine,including a review of related literature.After diagnosis,the patient was treated with GPB,followed by efficacy follow-up and pharmacological monitoring.The 6-year and 6-month-old male patient exhibited poor speech development,disobedience,temper tantrums,and aggressive behavior.Blood ammonia levels peaked at 327 μmol/L;urine organic acid analysis indicated elevated uracil levels;cranial MRI showed extensive abnormal signals in both cerebral hemispheres.Genetic testing revealed de novo mutation in the OTC gene(c.241T＞C,p.S81P).Blood ammonia levels were approximately 43,80,and 56 μmol/L at 1,2,and 3 months after starting GPB treatment,respectively.During treatment,blood ammonia was well-controlled without drug-related adverse effects.The patient showed improvement in developmental delays,obedience,temperament,and absence of aggressive behavior.

Objective To analyze the clinical efficacy of the Qianyang Fengsui Dan(combined with flying needle therapy)in the treatment of kidney-yang deficiency type of insomnia.Methods A retrospective study was conducted to select 82 patients with insomnia admitted to the Department of Traditional Chinese Medicine of Dezhou Hospital of Traditional Chinese Medicine from November 2020 to November 2021,and they were divided into an observation group and a control group according to whether or not they were treated with Qianyang Fengsui Dan combined with flying needle therapy,with 41 cases in each group.The control group was treated with Estazolam,while the observation group was treated with Qianyang Fengsui Dan combined with flying needle therapy on the basis of the treatment of the control group,and the course of treatment was 1 month.The changes of Pittsburgh Sleep Quality Index(PSQI)scores and Epworth Sleepiness Scale(ESS)scores,as well as polysomnographic parameters were observed before and after treatment in the two groups.The changes of γ-aminobutyric acid(GABA),glutamate(GA),substance P(SP),and neuropeptide Y(NPY)levels were compared before and after treatment between the two groups.And followed up for 1 year to compare the incidence of relapce of the two groups of patients.Results(1)The total effective rate was 95.12%(39/41)in the observation group and 63.41%(26/41)in the control group,and the efficacy of the observation group was superior to that of the control group,and the difference was statistically significant(P＜0.05).(2)After treatment,PSQI scores and ESS scores of patients in the two groups were significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving PSQI scores and ESS scores,and the differences were statistically significant(P＜0.05).(3)After treatment,sleep efficiency,awakening time,sleep latency,REM,and total sleep time were significantly improved in the two groups(P＜0.05),and the observation group was significantly superior to the control group in improving sleep efficiency,awakening time,sleep latency,REM,and total sleep time,and the differences were statistically significant(P＜0.05).(4)After treatment,the serum GABA,GA,SP,and NPY levels of patients in the two groups were significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving the serum GABA,GA,SP,and NPY levels,and the differences were all statistically significant(P＜0.05).(5)After treatment,follow-up for 1 year,the recurrence rate of the observation group was 0,and there were 7 cases of recurrence in the control group,and the recurrence rate of the control group was 17.07%(7/41),and the recurrence rate of the observation group was lower than that of the control group,and the difference was statistically significant(P＜0.05).Conclusion The combination of flying needle therapy and Qianyang Fengsui Dan can effectively relieve insomnia and fatigue in patients with insomnia,reduce daytime drowsiness,regulate the release of blood monoamine neurotransmitters,and reduce the relapse rate,and its efficacy is superior to that of simple western medicine treatment.

Disharmony between nutritive qi(ying)and defensive qi(wei)is the core pathogenesis of insomnia.The normal function of ying-wei in the generation,dispersion,divergence and aggregation is the precondition for the realization of the coordination between ying and wei.The disordered function of ying-wei in the generation,dispersion,divergence and aggregation will cause the disharmony between ying and wei,and then the insomnia occurs.For the treatment of insomnia caused by the disordered function of ying-wei in the generation,Guizhi Decoction associated prescriptions are used for strengthening middle energizer and nourishing ying and wei.For the treatment of insomnia caused by the disordered function of ying-wei in the dispersion,Mahuang Decoction associated prescriptions are used to relieve the exterior and eliminate the pathogen for insomnia patients with the manifestations of the attack of exopathogens,and Xiao Chaihu Decoction associated prescriptions are used to dredge the triple energizer for insomnia patients with the dysfunction of the triple energizer.For the treatment of insomnia caused by the disordered function of ying-wei in the divergence,Rhei Radix et Rhizoma associated bitter-cold prescriptions are used to purge the interior heat for insomnia patients with abundant interior heat syndrome,Gypsum Fibrosum associated pungent-cold prescriptions are used to release muscles and clear heat for insomnia patients with the interior heat complicated by exterior syndrome,Natrii Sulfas Exsiccatus associated salty-cold prescriptions are used to clear heat,moisten dryness and dissipate the masses for insomnia patients with interior heat complicated by dryness syndrome,sour-cold medicines are used to clear heat and remove retained water,supplement deficiency and relieve exterior for insomnia patients with interior heat complicated by water-retention syndrome,deficiency syndrome and exterior syndrome,and Ophiopogonis Radix associated prescriptions and Lillli Bulbus associated prescriptions are used to clear heat and nourish ying for insomnia patients with the consumption of ying and yin.For the treatment of insomnia caused by the disordered function of ying-wei in the aggregation,the compatibility of Poria and Cinnamomi Ramulus is used for warming yang and resolving fluid retention in patients with fluid retention,Taohong Siwu Decoction associated prescriptions are used to activate blood and remove stasis in patients with predominance of blood stasis syndrome,the compatibility of Poria and Paeoniae Radix Alba are used to treat retained water and blood stasis in patients with water-blood co-morbidity.Treating insomnia caused by disharmony between ying and wei from the perspective of the function of ying-wei in the generation,dispersion,divergence and aggregation is aimed at the core pathogenesis of insomnia,which makes the treatment easy to be carried out,and can provide reference for clinical differentiation and treatment of insomnia.

Objective To observe the value of augmented reality(AR)navigation system for assisting CT-guided puncture of pulmonary nodules in dog models.Methods Five healthy dogs were selected,and 4 target lung rings were implanted in each dog to build pulmonary nodule models.Deferring to crossover design,CT-guided punctures were performed with or without AR navigation 2 and 4 weeks after successful modeling,respectively,while punctures with AR navigation were regarded as AR group and the others as conventional group,respectively.The time duration of puncturing,the times of CT scanning,of needle adjustment,and the deviation distance between needle pinpoint to the center of pulmonary nodule shown on three-dimensional reconstruction were compared between groups.Results The duration time of puncture in AR group and conventional group was(13.62±5.11)min and(20.16±4.76)min,respectively.In AR group,the times of CT scanning,of needle adjustment,and the deviation distance was 2.40±0.50,2.75±0.44 and(2.94±1.92)mm,respectively,while in conventional group was 3.10±0.64,3.70±0.57 and(4.90±3.38)mm,respectively.The introduction of AR navigation was helpful to shortening the duration of puncture,reducing times of CT scanning and needle adjustment,also decreasing positioning error of needle pinpoint(all P＜0.05).In contrast,the variance of puncture sequences and dogs had no obvious effect on the results(both P＞0.05).Conclusion AR navigation system could improve accuracy and efficiency in CT-guided puncture of pulmonary nodules in dog models.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective:To detect the expression of L-type amino acid transporter 1(LAT1)in non-Hodgkin's lymphoma(NHL)tissues,and analyze its effect on clinicopathological characteristics and prognosis of patients.Methods:A total of 92 NHL patients who were treated in our hospital from January 2017 to April 2019 were collected.The expression of LAT1 in NHL tissue was detected by immunohistochemistry and compared between patients with different pathological features(including sex,Ann Arbor stage,extranodal infiltration,Ki-67).The risk factors affecting mortality were analyzed using univariate and multivariate Cox proportional hazards regression.Receiver operating characteristic(ROC)curve was used to detect the predictive value of percentage of LAT1-positive cells in NHL tissue for patient mortality,and analyzing the effect of percentage of LAT1-positive cells on survival rate.Results:LAT1 was positively expressed in NHL tissue.The high expression rate of LAT1 in Ann Arbor stage Ⅲ and Ⅳ groups were higher than that in Ann Arbor stage Ⅰ group,that in extranodal infiltration group was higher than non-extranodal infiltration group,and that in Ki-67 positive expression group was higher than Ki-67 negative expression group(all P＜0.05).The remission rate after 3 courses of treatment in high-LAT1 expression group was 70.7％,which was lower than 91.2％in low-LAT1 expression group(P＜0.05).Ann Arbor stage Ⅲ and Ⅳ,extranodal invasion,Ki-67 positive expression and increased expression of LAT1(LAT1-positive cell percentage score ≥ 2)were risk factors for mortality.The cut-off value of percentage of LAT1-positive cells for predicting NHL death was 45.6％,and the area under the ROC curve was 0.905(95％CI:0.897-0.924).The 3-year survival rate of high-LAT1 level group(the percentage of LAT1-positive cells ≥ 45.6％)was 50.00％,which was lower than 78.26％of low-LAT1 level group(P＜0.05).Conclusion:The expression level of LAT1 in NHL tissue increases,which affects Ann Arbor stage and extranodal infiltration of patients.LAT1 is a risk factor for death.

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*