Objective To build the early predictive model for chronic kidney disease(CKD)in hypertension and diabetes patients in the community.Methods The CKD patients were recruited from 4 health care centers in 4 urban areas in Kunming.The control group was residents without hypertension and diabetes(n = 1267).The disease group was residents with hypertension and/or diabetes(n = 566).The questionnaire survey,physical examination,laboratory testing,and 5 SNPs gene types in the PVT1 gene.The risk factors,which were filtered with logistics regression,were used to build predictive models.Four machine learning algorithms were built:support vector machine(SVM),random forest(RF),Na?ve Bayes(NB),and artificial neural network(ANN)models.Results Thirteen indicators included in the final diagnostic model:age,disease type,ethnicity,blood urea nitrogen,creatinine,eGFR from MDRD,ACR,eGFR from EPI2009,PAM13 score,sleep quality survey,staying-up late,PVT1 SNP rs11993333 and rs2720659.The accuracy,specificity,Kappa value,AUC of ROC,and PRC of ANN are greater than those of the other 3 models.The sensitivity of RF is the highest among 4 types of machine learning.Conclusions The ANN predictive model has a good ability of efficiency and classification to predict CKD with hypertension and/or diabetes patients in the community.

Objective: To reveal the similarities and differences in myocardial metabolic characteristics between heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF) mice using metabolomics. Methods: The experimental mice were divided into 4 groups, including control, HFpEF, sham and HFrEF groups (10 mice in each group). High fat diet and Nω-nitroarginine methyl ester hydrochloride (L-NAME) were applied to construct a"two-hit"HFpEF mouse model. Transverse aortic constriction (TAC) surgery was used to construct the HFrEF mouse model. The differential expression of metabolites in the myocardium of HFpEF and HFrEF mice was detected by untargeted metabolomics (UHPLC-QE-MS). Variable importance in projection>1 and P<0.05 were used as criteria to screen and classify the differentially expressed metabolites between the mice models. KEGG functional enrichment and pathway impact analysis demonstrated significantly altered metabolic pathways in both HFpEF and HFrEF mice. Results: One hundred and nine differentially expressed metabolites were detected in HFpEF mice, and 270 differentially expressed metabolites were detected in HFrEF mice. Compared with the control group, the most significantly changed metabolite in HFpEF mice was glycerophospholipids, while HFrEF mice presented with the largest proportion of carboxylic acids and their derivatives. KEGG enrichment and pathway impact analysis showed that the differentially expressed metabolites in HFpEF mice were mainly enriched in pathways such as biosynthesis of unsaturated fatty acids, ether lipid metabolism, amino sugar and nucleotide sugar metabolism, glycerophospholipid metabolism, arachidonic acid metabolism and arginine and proline metabolism. The differentially expressed metabolites in HFrEF mice were mainly enriched in arginine and proline metabolism, glycine, serine and threonine metabolism, pantothenate and CoA biosynthesis, glycerophospholipid metabolism, nicotinate and nicotinamide metabolism and arachidonic acid metabolism, etc. Conclusions: HFpEF mice have a significantly different myocardial metabolite expression profile compared with HFrEF mice. In addition, biosynthesis of unsaturated fatty acids, arachidonic acid metabolism, glycerophospholipid metabolism and arginine and proline metabolism are significantly altered in both HFpEF and HFrEF mice, suggesting that these metabolic pathways may play an important role in disease progression in both types of heart failure.
Mice ; Animals ; Heart Failure/metabolism* ; Stroke Volume ; Chromatography, Liquid ; Tandem Mass Spectrometry ; Metabolomics ; Arachidonic Acids ; Proline

Objective: To investigate the clinical features and long-term prognostic factors of diabetic patients with low or intermediate complexity coronary artery disease (CAD) post percutaneous coronary intervention (PCI). Methods: This was a prospective, single-centre observational study. Consecutive diabetic patients with SYNTAX score (SS)≤32 undergoing PCI between January and December 2013 in Fuwai hospital were included in this analysis. The patients were divided into two groups based on SS, namely SS≤22 group and SS 23-32 group. Multivariate Cox regression analysis was performed to identify independent factors related to poor 5-year prognosis. The primary outcomes were cardiac death and recurrent myocardial infarction, the secondary outcomes were all cause death and revascularization. Results: Of the 3 899 patients included in the study, 2 888 were men (74.1%); mean age was 59.4±9.8 years. There were 3 450 patients in the SS≤22 group and 449 patients in the SS 23-32 group. Compared with SS≤22 group, the incidence of revascularization was higher in SS 23-32 group (18.9% (85/449) vs. 15.2% (524/3450), log-rank P=0.019). There was no significant difference in all-cause death, cardiac death and recurrent myocardial infarction between the two groups (log-rank P>0.05). Multivariate Cox regression analysis showed that age (HR=1.05, 95%CI 1.02-1.08, P<0.001), chronic obstructive pulmonary disease (HR=3.12, 95%CI 1.37-7.07, P=0.007) and creatinine clearance rate (CCr)<60 ml/min (HR=3.67, 95%CI 2.05-6.58, P<0.001) were independent risk factors for 5-year cardiac death, while left ventricular ejection fraction (HR=0.94, 95%CI 0.91-0.96, P<0.001) was a protective factor. Previous PCI (HR=2.04, 95%CI 1.38-3.00, P<0.001), blood glucose level≥11.1 mmol/L on admission (HR=2.49, 95%CI 1.32-4.70, P=0.005) and CCr<60 ml/min (HR=1.85, 95%CI 1.14-2.99, P=0.012) were independent risk factors for 5-year recurrent myocardial infarction. The SS of 23-32 was independently associated with risk of revascularization (HR=1.54, 95%CI 1.09-2.16, P=0.014), after adjusting for residual SS. Residual SS was not a risk factor for 5-year prognosis. Conclusions: In diabetic patients with low-or intermediate complexity CAD, SS 23-32 is associated with increased risk of 5-year revascularization; the clinical characteristics of the patients are associated with the long-term mortality and recurrent myocardial infarction, but not related to revascularization.
Male ; Humans ; Middle Aged ; Aged ; Female ; Coronary Artery Disease/surgery* ; Stroke Volume ; Percutaneous Coronary Intervention ; Prospective Studies ; Treatment Outcome ; Ventricular Function, Left ; Prognosis ; Risk Factors ; Myocardial Infarction/etiology* ; Diabetes Mellitus

The theory of disease prevention with traditional Chinese medicine is introduced into the prevention of chronic diseases such as hypertension. In order to fully implement the advantages of acupuncture, the three-level prevention strategy is strengthened on the whole-process intervention with acupuncture for hypertension, including prevention before disease onset, starting intervention at the early phase, and prevention disease from exacerbating. Moreover, the comprehensive management scheme, multidisciplinary coordination and participation mechanism are investigated in the field of traditional Chinese medicine for preventive treatment of hypertension.
Humans ; Acupuncture Therapy ; Medicine, Chinese Traditional ; Acupuncture ; Chronic Disease ; Hypertension

BACKGROUND: There are few data comparing clinical outcomes of complex percutaneous coronary intervention (CPCI) when using biodegradable polymer drug-eluting stents (BP-DES) or second-generation durable polymer drug-eluting stents (DP-DES). The purpose of this study was to investigate the safety and efficacy of BP-DES and compare that with DP-DES in patients with and without CPCI during a 5-year follow-up. METHODS: Patients who exclusively underwent BP-DES or DP-DES implantation in 2013 at Fuwai Hospital were consecutively enrolled and stratified into two categories based on CPCI presence or absence. CPCI included at least one of the following features: unprotected left main lesion, ≥2 lesions treated, ≥2 stents implanted, total stent length >40 mm, moderate-to-severe calcified lesion, chronic total occlusion, or bifurcated target lesion. The primary endpoint was major adverse cardiac events (MACE) including all-cause death, recurrent myocardial infarction, and total coronary revascularization (target lesion revascularization, target vessel revascularization [TVR], and non-TVR) during the 5-year follow-up. The secondary endpoint was total coronary revascularization. RESULTS: Among the 7712 patients included, 4882 (63.3%) underwent CPCI. Compared with non-CPCI patients, CPCI patients had higher 2- and 5-year incidences of MACE and total coronary revascularization. Following multivariable adjustment including stent type, CPCI was an independent predictor of MACE (adjusted hazard ratio [aHR]: 1.151; 95% confidence interval [CI]: 1.017-1.303, P  = 0.026) and total coronary revascularization (aHR: 1.199; 95% CI: 1.037-1.388, P  = 0.014) at 5 years. The results were consistent at the 2-year endpoints. In patients with CPCI, BP-DES use was associated with significantly higher MACE rates at 5 years (aHR: 1.256; 95% CI: 1.078-1.462, P  = 0.003) and total coronary revascularization (aHR: 1.257; 95% CI: 1.052-1.502, P  = 0.012) compared with that of DP-DES, but there was a similar risk at 2 years. However, BP-DES had comparable safety and efficacy profiles including MACE and total coronary revascularization compared with DP-DES in patients with non-CPCI at 2 and 5 years. CONCLUSIONS Patients underwent CPCI remained at a higher risk of mid- to long-term adverse events regardless of the stent type. The effect of BP-DES compared with DP-DES on outcomes was similar in CPCI and non-CPCI patients at 2 years but had inconsistent effects at the 5-year clinical endpoints.
Humans ; Drug-Eluting Stents/adverse effects* ; Myocardial Infarction/complications* ; Polymers/therapeutic use* ; Treatment Outcome ; Coronary Artery Disease/complications* ; Percutaneous Coronary Intervention/adverse effects* ; Absorbable Implants ; Prosthesis Design

Objective To develop an intelligent positioning system for mobile medical equipment in the operating room based on Bluetooth technology to enhance medical equipment management efficiency.Methods The intelligent positioning system for mobile medical equipment used received signal strength indication(RSSI)algorithm and multi-gateway trajectory filtering algorithm to realize Bluetooth positioning,which was composed of Bluetooth gateways,Bluetooth beacons,Bluetooth labels and a background data processing platform.The Bluetooth gateway consisted of an active power over ethernet(POE)module,a DC power module,a CPU,a Wi-Fi module and a Bluetooth module;the Bluetooth beacon included a beacon control unit,a Bluetooth transmitter module and a Bluetooth receiver module;the Bluetooth label was made up of a microcontroller unit(MCU),a Bluetooth module,an anti-temper switch and a accelerometer;the data processing platform had the front end developed with Vue architecture and the back end with Java language.Results The system developed could accurately locate the medical equipment in the operating room without electromagnetic interference to other medical devices.Conclusion The system developed gains advantages in high positioning accuracy,low electromagnetic interference,high stability and reliability and low cost,which improves the positioning and management efficiency of medical equipment under the premise of ensuring safety.[Chinese Medical Equipment Journal,2023,44(9):29-32]

In recent years, researchers, pharmaceutical companies, and political makers gradually using more real-world data (RWD) to produce real-world evidence (RWE) for policy-making. A research team of Harvard University launched the RCT DUPLICATE project in 2018, aiming to replicate 30 randomized controlled trials using the medical claims database in order to explore methods for quantifying the efficacy-effectiveness gap and explain its potential sources, to enhance the credibility of the RWE. This paper reviews the background of RCT DUPLICATE Initiative, highlights the research purposes, research design and implementation process of the RCT DUPLICATE Initiative, to help domestic scholars better understand the scope and application value of RWE.
Humans ; Randomized Controlled Trials as Topic ; Cognition ; Databases, Factual ; Research Personnel ; Universities

With the promotion and application of big medical data, non-interventional real-world evidence (RWE) has been used by regulators to assess the effectiveness of medical products. This paper briefly introduces the latest progress and research results of the RCT DUPLICATE Initiative launched by the research team of Harvard University in 2018 and summarizes relevant research experience based on the characteristics of China's medical service to provide inspiration and reference for domestic scholars to conduct related RWE research in the future.
Humans ; Randomized Controlled Trials as Topic ; Cognition ; Big Data ; Universities

Since the 18th National Congress of the Communist Party of China(CPC), the CPC and the government have highligh-ted the development of traditional Chinese Medicine(TCM) and issued a series of policies, such as the Plan for Protection and Deve-lopment of Chinese Medicinal Materials(2015-2020) forwarded by the General Office of the State Council in 2015, the Plan for Healthy Development of Traditional Chinese Medicine(2015-2020) released by the General Office of the State Council in the same year, the Healthy China 2030 Plan published by the CPC Central Committee and the State Council in 2016, the Law of the People's Republic of China on Traditional Chinese Medicine which took effect on July 2017, On the Preservation and Innovative Development of Traditional Chinese Medicine promulgated by CPC Central Committee and the State Council in 2019, and Plan for the Development of Traditional Chinese Medicine during the 14th Five-Year Plan Period of China released by the General Office of the State Council in March 2022, to promote the development of the TCM industry, which have brought historical opportunities to the TCM industry. However, TCM industry faces various challenges in the development. In terms of drug development in TCM, the current studies mainly focused on the chemical research and technical requests, which neglected TCM characteristics and cased in conformity between new drug transformation of TCM and clinical practice. Therefore, a more considerable and profound authoritative guideline is needed, and innovative thought and research are necessary for academics and the industry. Through the investigation of the development TCM industry in recent years, this study summarized the policies on and trends of Chinese medicinal materials, new drug development in TCM, catalogue of national basic drugs, and national basic health insurance, and proposed suggestions for further development of TCM industry.
China ; Drugs, Chinese Herbal ; Humans ; Industry ; Medicine, Chinese Traditional ; Policy

Bone Neoplasms ; Diagnosis, Differential ; Humans ; Osteoblastoma/surgery*