Objective:To evaluate the impact of implementing a regional hierarchical medical management model based on the medical internet of things (medical IoT) on the frequency of emergency department visits and hospitalizations, as well as related medical expenses, in patients with chronic obstructive pulmonary disease (COPD).Methods:This retrospective study included COPD patients enrolled in the regional hierarchical medical management system based on Medical IoT across 21 community health service centers in Songjiang District, Shanghai, between July 2017 and May 2018. Utilizing patient data from the year prior to enrollment as the baseline, changes in the number of emergency visits, hospitalizations, and associated medical costs during the first and second years of management were compared. Changes for patients receiving drug treatment were also analyzed.Results:A total of 973 COPD patients were enrolled. The mean age was 75.2±17.0 years, and 64.34% (626/973) were male. Compared to baseline, all COPD patients in the first year of management showed significant reductions: emergency visits decreased by 33.67%, total emergency costs by 45.60%, hospitalizations by 27.15%, and total hospitalization costs by 25.42%. In the second year, reductions were: emergency visits by 28.08%, total emergency costs by 36.10%, hospitalizations by 35.26%, and total hospitalization costs by 18.13% (all P<0.05). Among patients receiving drug therapy, reductions in the first year were: emergency visits by 39.66%, total emergency costs by 47.54%, hospitalizations by 25.19%, and total hospitalization costs by 28.40%. In the second year, reductions were: emergency visits by 46.98%, total emergency costs by 45.99%, hospitalizations by 41.98%, and total hospitalization costs by 24.94% (all P<0.05). No significant differences were observed before and after management for patients without drug treatment. Conclusion:The implementation of the regional hierarchical medical management model based on Medical IoT significantly reduced the frequency of emergency visits and hospitalizations, as well as related costs, for COPD patients.

Objective:To evaluate the impact of implementing a regional hierarchical medical management model based on the medical internet of things (medical IoT) on the frequency of emergency department visits and hospitalizations, as well as related medical expenses, in patients with chronic obstructive pulmonary disease (COPD).Methods:This retrospective study included COPD patients enrolled in the regional hierarchical medical management system based on Medical IoT across 21 community health service centers in Songjiang District, Shanghai, between July 2017 and May 2018. Utilizing patient data from the year prior to enrollment as the baseline, changes in the number of emergency visits, hospitalizations, and associated medical costs during the first and second years of management were compared. Changes for patients receiving drug treatment were also analyzed.Results:A total of 973 COPD patients were enrolled. The mean age was 75.2±17.0 years, and 64.34% (626/973) were male. Compared to baseline, all COPD patients in the first year of management showed significant reductions: emergency visits decreased by 33.67%, total emergency costs by 45.60%, hospitalizations by 27.15%, and total hospitalization costs by 25.42%. In the second year, reductions were: emergency visits by 28.08%, total emergency costs by 36.10%, hospitalizations by 35.26%, and total hospitalization costs by 18.13% (all P<0.05). Among patients receiving drug therapy, reductions in the first year were: emergency visits by 39.66%, total emergency costs by 47.54%, hospitalizations by 25.19%, and total hospitalization costs by 28.40%. In the second year, reductions were: emergency visits by 46.98%, total emergency costs by 45.99%, hospitalizations by 41.98%, and total hospitalization costs by 24.94% (all P<0.05). No significant differences were observed before and after management for patients without drug treatment. Conclusion:The implementation of the regional hierarchical medical management model based on Medical IoT significantly reduced the frequency of emergency visits and hospitalizations, as well as related costs, for COPD patients.

With the outbreak of infectious diseases, more and more attention has been paid to surveillance and early warning work. Timely and accurate monitoring data is the basis of infectious diseases prevention and control. Effective early warning methods for infectious diseases can improve the timeliness and sensitivity of early warning work. This paper briefly introduces the intelligent early warning model of infectious diseases, summarizes the emerging surveillance and early warning methods of infectious diseases, and seeks the possibility of diversified surveillance and early warning in different epidemic stages and different outbreak scenarios of infectious diseases. This paper puts forward the idea of constructing a diversified method system of infectious diseases surveillance and early warning based on multi-stages and multi-scenarios and discusses the future development trend of infectious diseases surveillance and early warning, in order to provide reference for improving the construction level of infectious diseases surveillance and early warning system in China.
Humans ; Population Surveillance/methods* ; Communicable Diseases/epidemiology* ; Disease Outbreaks/prevention & control* ; Epidemics ; China/epidemiology*

With the outbreak of infectious diseases, more and more attention has been paid to surveillance and early warning work. Timely and accurate monitoring data is the basis of infectious diseases prevention and control. Effective early warning methods for infectious diseases can improve the timeliness and sensitivity of early warning work. This paper briefly introduces the intelligent early warning model of infectious diseases, summarizes the emerging surveillance and early warning methods of infectious diseases, and seeks the possibility of diversified surveillance and early warning in different epidemic stages and different outbreak scenarios of infectious diseases. This paper puts forward the idea of constructing a diversified method system of infectious diseases surveillance and early warning based on multi-stages and multi-scenarios and discusses the future development trend of infectious diseases surveillance and early warning, in order to provide reference for improving the construction level of infectious diseases surveillance and early warning system in China.
Humans ; Population Surveillance/methods* ; Communicable Diseases/epidemiology* ; Disease Outbreaks/prevention & control* ; Epidemics ; China/epidemiology*

OBJECTIVE: To utilized the baseline data of the Beijing Fangshan Family Cohort Study, and to estimate whether the association between a healthy lifestyle and arterial stiffness might be modified by genetic effects. METHODS: Probands and their relatives from 9 rural areas in Fangshan district, Beijing were included in this study. We developed a healthy lifestyle score based on five lifestyle behaviors: smoking, alcohol consumption, body mass index (BMI), dietary pattern, and physical activity. The measurements of arterial stiffness were brachial-ankle pulse wave velocity (baPWV) and ankle-brachial index (ABI). A variance component model was used to determine the heritability of arterial stiffness. Genotype-environment interaction effects were performed by the maximum likelihood methods. Subsequently, 45 candidate single nucleotide polymorphisms (SNPs) located in the glycolipid metabolism pathway were selected, and generalized estimated equations were used to assess the gene-environment interaction effects between particular genetic loci and healthy lifestyles. RESULTS: A total of 6 302 study subjects across 3 225 pedigrees were enrolled in this study, with a mean age of 56.9 years and 45.1% male. Heritability of baPWV and ABI was 0.360 (95%CI: 0.302-0.418) and 0.243 (95%CI: 0.175-0.311), respectively. Significant genotype-healthy diet interaction on baPWV and genotype-BMI interaction on ABI were observed. Following the findings of genotype-environment interaction analysis, we further identified two SNPs located in ADAMTS9-AS2 and CDH13 might modify the association between healthy dietary pattern and arterial stiffness, indicating that adherence to a healthy dietary pattern might attenuate the genetic risk on arterial stiffness. Three SNPs in CDKAL1, ATP8B2 and SLC30A8 were shown to interact with BMI, implying that maintaining BMI within a healthy range might decrease the genetic risk of arterial stiffness. CONCLUSION The current study discovered that genotype-healthy dietary pattern and genotype-BMI interactions might affect the risk of arterial stiffness. Furthermore, we identified five genetic loci that might modify the relationship between healthy dietary pattern and BMI with arterial stiffness. Our findings suggested that a healthy lifestyle may reduce the genetic risk of arterial stiffness. This study has laid the groundwork for future research exploring mechanisms of arterial stiffness.
Humans ; Male ; Middle Aged ; Female ; Ankle Brachial Index ; Cohort Studies ; Gene-Environment Interaction ; Vascular Stiffness/genetics* ; Pedigree ; Pulse Wave Analysis/methods* ; Genotype

OBJECTIVE: To evaluate the potential effectiveness of different screening strategies for cardiovascular diseases prevention in a community-based Chinese population from economically developed area of China. METHODS: Totally 202 179 adults aged 40 to 74 years without cardiovascular diseases at baseline (January 1, 2010) were enrolled from the Chinese electronic health records research in Yinzhou (CHERRY) study. Three scenarios were considered: the screening strategy based on risk charts recommended by the 2020 Chinese guideline on the primary prevention of cardiovascular diseases in Chinese adults aged 40-74 years (Strategy 1); the screening strategy based on the prediction for atherosclerotic cardiovascular disease risk in China (China-PAR) models recommended by the 2019 Guideline on the assessment and management of cardiovascular risk in China in Chinese adults aged 40-74 years (Strategy 2); and the screening strategy based on the China-PAR models in Chinese adults aged 50-74 years (Strategy 3). According to the guidelines, individuals who were classified into medium- or high-risk groups after cardiovascular risk assessment by the corresponding strategies would be introduced to lifestyle intervention, while high-risk population would take medication in addition. Markov model was used to simulate different screening scenarios for 10 years (cycles), using parameters mainly from the CHERRY study, as well as published data, Meta-analyses and systematic reviews for Chinese populations. The life year gained, quality-adjusted life year (QALY) gained, number of cardiovascular disease events/deaths could be prevented and number needed to be screened (NNS) were calculated to compare the effectiveness between the different strategies. One-way sensitivity analysis on uncertainty of cardiovascular disease incidence rate and probabilistic sensitivity analysis on uncertainty of distributions for the hazard ratios were conducted. RESULTS: Compared with non-screening strategy, QALYs gained were 1 433 [95% uncertainty interval (UI): 969-1 831], 1 401 (95%UI: 936-1 807), and 716 (95%UI: 265-1 111) for the Strategies 1, 2, and 3; and the NNS per QALY in the above strategies were 141 (95%UI: 110-209), 144 (95%UI: 112-216), and 198 (95%UI: 127-529), respectively. The Strategies 1 and 2 based on different guidelines showed similar effectiveness, while more benefits were found for screening using China-PAR models in adults aged 40-74 years than those aged 50-74 years. The results were consistent in the sensitivity analyses. CONCLUSION Screening for cardiovascular diseases in Chinese adults aged above 40 years seems effective in coastal developed areas of China, and the different screening strategies based on risk charts by the 2020 Chinese guideline on the primary prevention of cardiovascular diseases or China-PAR models by the 2019 Guideline on the assessment and management of cardiovascular risk in China may have similar effectiveness.
Adult ; Cardiovascular Diseases/prevention & control* ; China/epidemiology* ; Cost-Benefit Analysis ; Humans ; Mass Screening ; Primary Prevention ; Quality-Adjusted Life Years

Objective To explore the relationship between clinical manifestations and pathological changes in diabetic nephropathy (DN) and to assess the predictive power of the pathologic classification for DN established by the Renal Pathology Society in 2010.Methods Patients with type 1 or type 2 diabetes and biopsy-proven DN in the Third Affiliated Hospital of Sun Yat-sen University between January 2004 to June 2014 were enrolled in the present study and were followed-up until 31 December 2014.The outcome was defined as renal end-points including renal replacement therapy and doubling of serum creatinine as well as all-cause mortality.The laboratory and histologic data were analyzed and outcomes were assessed using survival analysis.Results Fifty-seven people enrolled in this study were categorized into Class Ⅱa (n=9),Class Ⅱb (n=9),Class Ⅲ (n=25) and Class Ⅳ (n=14) while no participants belonged to Class Ⅰ.The changes of Class Ⅱa were slight and those of Class Ⅳ were severe both in the clinical data (diabetic duration,blood pressure,estimated glomerular filtration rate,urine protein excretion rate,albumin and hemoglobin) and the pathological data (percentage of global glomerulosclerosis,percentage and scoring of interstitial fibrosis and tubular atrophy,scoring of interstitial inflammation and incidence of large vessel lesions).There were no significant differences between Class Ⅱb and Ⅲ in the above variables except for the scoring of arteriosclerosis.The mean follow-up duration was 25.9 months.Twenty-five patients (43.9％) reached the renal outcomes and six people (10.5％) reached all-cause mortality.The survival analysis showed that there were significant differences among the renal survival curves of different glomerular classes and of different interstitial and vascular scorings,but not in the survival curves related to all-cause mortality.Conclusions The glomerular classes are not completely associated with renal prognosis.The clinical manifestations and renal outcomes are benign in Class Ⅱa,moderate but similar in Class Ⅱb and Ⅲ and severe in Class Ⅳ.The glomerular classification and interstitial and vascular scorings are associated to renal prognosis while their associations with mortality remain to be verified.

OBJECTIVE: To estimate the incidence rate and effects of risk factors on chronic kidney disease (CKD) in Chinese patients with diabetes, based on Electronic Health Records (EHRs) from the Chinese Electronic health Records Research in Yinzhou (CHERRY) Study. METHODS: Using the CHERRY cohort study with the individual-level information on chronic disease management; and health administrative, clinical and laboratory databases, patients with diabetes without kidney disease at baseline were enrolled and followed up from January 2009 through December 2016. CKD was defined as the estimated glomerular filtration rate(eGFR) <60 mL/(min×1.73 m²) or urine albumin/creatinine ratio (ACR)≥3 mg/mmol. Standardized incidence rates of CKD in diabetic population were calculated according to the 2010 China census data. Cox proportional hazards models were used to explore the association of risk factors on CKD in patients with diabetes. RESULTS: Over a median 3.2 years of follow-up, 13 829 patients with diabetes were included in this analysis and 1 087 developed CKD. The crude and standardized incidence rate was 23.7(95%CI: 22.3-25.2) and 14.8(95%CI:12.1-17.6) per 1 000 person-years respectively. The incidence rate for developing CKD in patients with diabetes aged over 60 years was higher than those aged 60 and below (26.6 vs. 11.5 per 1 000 person-years, P<0.05). Cox proportional hazards models showed that age over 60 years(HR=1.88, 95%CI: 1.51-2.35), hypertension (HR=1.81, 95%CI: 1.56-2.10), total cholesterol (HR=1.07, 95%CI: 1.00-1.14) and duration of diabetes (HR per year increment=1.02, 95%CI: 1.00-1.03) and the level of high density lipoprotein cholesterol (HDLC, HR=0.49, 95%CI: 0.40-0.61) were significantly associated with CKD. No statistical significance was found for sex, smoking status, alcohol use and average level of fasting glucose (All P>0.05). Subgroup analysis indicated that even when the lipid levels were well-controlled, comorbidity of hypertension was still associated with CKD in the patients with diabetes. CONCLUSION Incidence rate of chronic kidney disease in this Chinese population with diabetes was high. Age and comorbidity of hypertension were the most important risk factors for CKD, suggesting the priority for CKD screening in patients with diabetes in China. Control of blood pressure and lipid were especially crucial to prevent CKD in patients with diabetes.
Asians ; Blood Pressure ; China/epidemiology* ; Cohort Studies ; Comorbidity ; Diabetes Complications ; Diabetes Mellitus ; Glomerular Filtration Rate ; Humans ; Hypertension ; Incidence ; Proportional Hazards Models ; Renal Insufficiency, Chronic/epidemiology* ; Risk Factors

The present study was designed to synthesize 2-Cyano-3, 12-dioxooleana-1, 9(11)-en-28-oate-13β, 28-olide (1), a lactone derivative of oleanolic acid (OA) and evaluate its anti-inflammatory activity. Compound 1 significantly diminished nitric oxide (NO) production and down-regulated the mRNA expression of iNOS, COX-2, IL-6, IL-1β, and TNF-α in lipopolysaccharide (LPS)-stimulated RAW264.7 cells. Further in vivo studies in murine model of LPS-induced acute lung injury (ALI) showed that 1 possessed more potent protective effects than the well-known anti-inflammatory drug dexamethasone by inhibiting myeloperoxidase (MPO) activity, reducing total cells and neutrophils, and suppressing inflammatory cytokines expression, and thus ameliorating the histopathological conditions of the injured lung tissue. In conclusion, compound 1 could be developed as a promising anti-inflammatory agent for intervention of LPS-induced ALI.
Acute Lung Injury ; drug therapy ; genetics ; immunology ; Animals ; Anti-Inflammatory Agents ; administration & dosage ; chemical synthesis ; Bronchoalveolar Lavage Fluid ; immunology ; Cyclooxygenase 2 ; genetics ; immunology ; Female ; Humans ; Interleukin-1beta ; genetics ; immunology ; Interleukin-6 ; genetics ; immunology ; Lipopolysaccharides ; adverse effects ; Lung ; drug effects ; immunology ; Macrophages ; drug effects ; immunology ; Male ; Mice ; Mice, Inbred BALB C ; Neutrophils ; drug effects ; immunology ; Oleanolic Acid ; administration & dosage ; analogs & derivatives ; chemical synthesis ; Peroxidase ; genetics ; immunology ; RAW 264.7 Cells ; Tumor Necrosis Factor-alpha ; genetics ; immunology

In order to visually detect H1, N1 and N2 subtype of avian influenza virus (AIV), three reverse transcription loop-mediated isothermal amplification (RT-LAMP) assays were developed. According to the sequences of AIV gene available in GenBank, three degenerate primer sets specific to HA gene of H1 subtype AIV, NA gene of N1 and N2 subtype AIV were designed, and the reaction conditions were optimized. The results showed that all the assays had no cross-reaction with other subtype AIV and other avian respiratory pathogens, and the detection limit was higher than that of conventional RT-PCR. These assays were performed in water bath within 50 minutes. Without opening tube, the amplification result could be directly determined by inspecting the color change of reaction system as long as these assays were fin-ished. Fourteen specimens of H1N1 subtype and eight specimens of H1N2 subtype of AIV were identified from the 120 clinical samples by RT-LAMP assays developed, which was consistent with that of virus isolation. These results suggested that the three newly developed RT-LAMEP assays were simple, specific and sensitive and had potential for visual detection of H1, N1 and N2 subtype of AIV in field.
Animals ; Chickens ; DNA Primers ; genetics ; Ducks ; Influenza A Virus, H1N1 Subtype ; classification ; genetics ; isolation & purification ; Influenza A Virus, H1N2 Subtype ; classification ; genetics ; isolation & purification ; Influenza A virus ; classification ; genetics ; isolation & purification ; Influenza in Birds ; diagnosis ; virology ; Nucleic Acid Amplification Techniques ; methods ; Poultry Diseases ; diagnosis ; virology ; Reverse Transcription ; Turkeys