1.Individualized treatment and pharmaceutical care for breast cancer complicated with chronic kidney disease
Lu YU ; Xudong WU ; Ming ZHANG
China Pharmacy 2025;36(7):853-857
		                        		
		                        			
		                        			OBJECTIVE To provide a reference for individualized treatment and pharmaceutical care for patients with breast cancer complicated with chronic kidney disease (CKD). METHODS Clinical pharmacists participated in the anti-tumor treatment and pharmaceutical care for a breast cancer patient with CKD. Clinical pharmacists reviewed guidelines and literature to assist the clinical physician in formulating the initial neoadjuvant treatment plan (docetaxel+trastuzumab+paltuzumab) and provided monitoring recommendations for potential adverse drug reactions, such as vomiting, myelosuppression, renal impairment, cardiotoxicity. In response to the patient’s acute kidney injury after treatment, clinical pharmacists assisted the physician in analyzing the cause of the adverse reaction through causality assessment. Taking into account the patient’s preferences, docetaxel was substituted with paclitaxel (which did not require dose adjustment based on renal function). The clinical pharmacists collaborated with the physician to establish a postoperative targeted therapy regimen (trastuzumab+pertuzumab). Taking into account the patient’s positive estrogen receptor status, the clinical pharmacists recommended to initiate regular anastrozole administration after the completion of radiotherapy and undergo periodic bone density assessments. RESULTS The clinical physician accepted the suggestions from the clinical pharmacists. The patient successfully completed preoperative neoadjuvant chemotherapy and postoperative targeted therapy, and was discharged with medication (anastrozole). During the treatment process, the patient did not experience adverse reactions such as myelosuppression, cardiotoxicity, or the occurrence of osteoporosis. CONCLUSIONS Clinical pharmacists analyzed and adjusted the preoperative and postoperative antitumor treatment plans based on the patient’s renal function. They promptly assessed the correlation between antitumor drugs and acute kidney injury, and actively implemented comprehensive pharmaceutical care to ensure medication safety for breast cancer patients with CKD.
		                        		
		                        		
		                        		
		                        	
2.Construction and Evaluation of a Risk Prediction Model for Septic Cardiomyopathy Based on MIMIC-IV Database
Bin XIONG ; Yinzhou LIU ; An ZHANG
Acta Academiae Medicinae Sinicae 2024;46(5):671-677
		                        		
		                        			
		                        			Objective To analyze the risk factors of septic cardiomyopathy(SC),and to construct and evaluate the risk prediction model of SC.Methods The clinical data of patients with sepsis were extracted from MIMIC-Ⅳ database and randomized into a training set and a validation set at a ratio of 7 to 3.According to the presence or absence of SC,the patients were assigned into SC and non-SC groups.The independent risk factors of SC were determined by univariate and multivariate Logistic regression analysis,and a risk prediction model and a nomogram were established.The area under the receiver operating characteristic curve(AUC),calibration curve,and decision curve analysis(DCA)were employed to evaluate the distinguishing degree,calibration,and clinical applicability of the model,respectively.Results A total of 2628 sepsis patients were enrolled in this study,including 1865 patients in the training set and 763 patients in the validation set.There was no signifi-cant difference in the incidence of SC between the training set and the validation set(58.98%vs.62.25%,P=0.120).Except chronic obstructive pulmonary disease(P=0.015)and length of stay in intensive care unit(P=0.016),there was no significant difference in other clinical indicators between the two groups(all P>0.05).Logistic regression analysis showed that coronary heart disease(P=0.028),heart failure(P<0.001),in-creased neutrophil count(P=0.001),decreased lymphocyte count(P=0.036),increased creatine kinase isoenzyme(P<0.001),and increased blood urea nitrogen(P=0.042)were independent risk factors for SC.The AUC of the nomogram prediction model in the training set and validation set was 0.759(95%CI=0.732-0.785)and 0.765(95%CI=0.723-0.807),respectively.The established model showcased good fitting degrees in both data sets(training set:P=0.075;validation set:P=0.067).The DC A results showed that the nomogram prediction model had good clinical applicability.Conclusion The nomogram prediction model based on basic diseases and clinical biochemical indicators can effectively predict the risk of SC occurrence.
		                        		
		                        		
		                        		
		                        	
3.Risk of Hematologic Malignancies in Patients with Inflammatory Bowel Disease: A Meta-Analysis of Cohort Studies
Xiaoshuai ZHOU ; Qiufeng ZHANG ; Dongying WANG ; Zhiyi XIANG ; Jiale RUAN ; Linlin TANG
Gut and Liver 2024;18(5):845-856
		                        		
		                        			 Background/Aims:
		                        			Inflammatory bowel disease (IBD) may contribute to the development of hematologic malignancies. In this study, the potential relationship between IBD and hematologic malignancies was investigated. 
		                        		
		                        			Methods:
		                        			We searched the PubMed, Web of Science, Embase, and Cochrane Library databases for all cohort studies comparing the incidence of hematologic malignancies in non-IBD populations with that in IBD patients, and we extracted relevant data from January 2000 to June 2023 for meta-analysis. 
		                        		
		                        			Results:
		                        			Twenty cohort studies involving 756,377 participants were included in this study. The results showed that compared with the non-IBD cohort, the incidence of hematologic malignancies in the IBD cohort was higher (standardized incidence ratio [SIR]=3.05, p<0.001). According to the specific types of IBD, compared with the non-IBD patients, the incidences of hematologic malignancies in ulcerative colitis patients (SIR=2.29, p=0.05) and Crohn's disease patients (SIR=3.56, p=0.005) were all higher. In the subgroup analysis of hematologic malignancy types, compared with the control group, the incidences of non-Hodgkin's lymphoma (SIR=1.70, p=0.01), Hodgkin's lymphoma (SIR=3.47, p=0.002), and leukemia (SIR=3.69, p<0.001) were all higher in the IBD cohort. 
		                        		
		                        			Conclusions
		                        			The incidence of hematologic malignancies, including non-Hodgkin's lymphoma, Hodgkin's lymphoma, and leukemia is higher in patients with IBD (ulcerative colitis or Crohn's disease) than in non-IBD patients. 
		                        		
		                        		
		                        		
		                        	
4.Prevalence and treatment of anemia in chronic kidney disease patients based on regional medical big data.
Yang Fan CHAI ; Hong Bo LIN ; Guo Hui DING ; Jin Wei WANG ; Huai Yu WANG ; Su Yuan PENG ; Bi Xia GAO ; Xin Wei DENG ; Gui Lan KONG ; Bei Yan BAO ; Lu Xia ZHANG
Chinese Journal of Epidemiology 2023;44(7):1046-1053
		                        		
		                        			
		                        			Objective: To assess the prevalence, risk factors and treatment of anemia in patients with chronic kidney disease (CKD). Methods: A descriptive method was used to analyze the prevalence and treatment of anemia in CKD patients based on regional health data in Yinzhou District of Ningbo during 2012-2018. The multivariate logistic regression analysis was used to identify independent influence factors of anemia in the CKD patients. Results: In 52 619 CKD patients, 15 639 suffered from by anemia (29.72%), in whom 5 461 were men (26.41%) and 10 178 were women (31.87%), and anemia prevalence was higher in women than in men, the difference was significant (P<0.001). The prevalence of anemia increased with stage of CKD (24.77% in stage 1 vs. 69.42% in stage 5, trend χ2 test P<0.001). Multivariate logistic regression analysis revealed that being women (aOR=1.57, 95%CI: 1.50-1.63), CKD stage (stage 2: aOR=1.10, 95%CI: 1.04-1.16;stage 3: aOR=2.28,95%CI: 2.12-2.44;stage 4: aOR=4.49,95%CI :3.79-5.32;stage 5: aOR=6.31,95%CI: 4.74-8.39), age (18-30 years old: aOR=2.40,95%CI: 2.24-2.57, 61-75 years old: aOR=1.35,95%CI:1.28-1.42, ≥76 years old: aOR=2.37,95%CI:2.20-2.55), BMI (<18.5 kg/m2:aOR=1.29,95%CI: 1.18-1.41;23.0-24.9 kg/m2:aOR=0.79,95%CI: 0.75-0.83;≥25.0 kg/m2:aOR=0.70,95%CI: 0.66-0.74), abdominal obesity (aOR=0.91, 95%CI: 0.86-0.96), chronic obstructive pulmonary disease (aOR=1.15, 95%CI: 1.09-1.22), cancer (aOR=3.03, 95%CI: 2.84-3.23), heart failure (aOR=1.44, 95%CI: 1.35-1.54) and myocardial infarction (aOR=1.54, 95%CI:1.16-2.04) were independent risk factors of anemia in CKD patients. Among stage 3-5 CKD patients with anemia, 12.03% received iron therapy, and 4.78% received treatment with erythropoiesis-stimulating agent (ESA) within 12 months after anemia was diagnosed. Conclusions: The prevalence of anemia in CKD patients was high in Yinzhou. However, the treatment rate of iron therapy and ESA were low. More attention should be paid to the anemia management and treatment in CKD patients.
		                        		
		                        		
		                        		
		                        	
5.Comparison of aspirin treatment strategies for primary prevention of cardiovascular diseases: A decision-analytic Markov modelling study.
Ming Lu ZHANG ; Qiu Ping LIU ; Chao GONG ; Jia Min WANG ; Tian Jing ZHOU ; Xiao Fei LIU ; Peng SHEN ; Hong Bo LIN ; Xun TANG ; Pei GAO
Journal of Peking University(Health Sciences) 2023;55(3):480-487
		                        		
		                        			OBJECTIVE:
		                        			To compare the expected population impact of benefit and risk of aspirin treatment strategies for the primary prevention of cardiovascular diseases recommended by different guidelines in the Chinese Electronic Health Records Research in Yinzhou (CHERRY) study.
		                        		
		                        			METHODS:
		                        			A decision-analytic Markov model was used to simulate and compare different strategies of aspirin treatment, including: Strategy ①: Aspirin treatment for Chinese adults aged 40-69 years with a high 10-year cardiovascular risk, recommended by the 2020 Chinese Guideline on the Primary Prevention of Cardiovascular Diseases; Strategy ②: Aspirin treatment for Chinese adults aged 40-59 years with a high 10-year cardiovascular risk, recommended by the 2022 United States Preventive Services Task Force Recommendation Statement on Aspirin Use to Prevent Cardiovascular Disease; Strategy ③: Aspirin treatment for Chinese adults aged 40-69 years with a high 10-year cardiovascular risk and blood pressure well-controlled (< 150/90 mmHg), recommended by the 2019 Guideline on the Assessment and Management of Cardio-vascular Risk in China. The high 10-year cardiovascular risk was defined as the 10-year predicted risk over 10% based on the 2019 World Health Organization non-laboratory model. The Markov model simulated different strategies for ten years (cycles) with parameters mainly from the CHERRY study or published literature. Quality-adjusted life year (QALY) and the number needed to treat (NNT) for each ischemic event (including myocardial infarction and ischemic stroke) were calculated to assess the effectiveness of the different strategies. The number needed to harm (NNH) for each bleeding event (including hemorrhagic stroke and gastrointestinal bleeding) was calculated to assess the safety. The NNT for each net benefit (i.e., the difference of the number of ischemic events could be prevented and the number of bleeding events would be added) was also calculated. One-way sensitivity analysis on the uncertainty of the incidence rate of cardiovascular diseases and probabilistic sensitivity analysis on the uncertainty of hazard ratios of interventions were conducted.
		                        		
		                        			RESULTS:
		                        			A total of 212 153 Chinese adults, were included in this study. The number of people who were recommended for aspirin treatment Strategies ①-③ was 34 235, 2 813, and 25 111, respectively. The Strategy ③ could gain the most QALY of 403 [95% uncertainty interval (UI): 222-511] years. Compared with Strategy ①, Strategy ③ had similar efficiency but better safety, with the extra NNT of 4 (95%UI: 3-4) and NNH of 39 (95%UI: 19-132). The NNT per net benefit was 131 (95%UI: 102-239) for Strategy ①, 256 (95%UI: 181-737) for Strategy ②, and 132 (95%UI: 104-232) for Strategy ③, making Strategy ③ the most favorable option with a better QALY and safety, along with similar efficiency in terms of net benefit. The results were consistent in the sensitivity analyses.
		                        		
		                        			CONCLUSION
		                        			The aspirin treatment strategies recommended by the updated guidelines on the primary prevention of cardiovascular diseases showed a net benefit for high-risk Chinese adults from developed areas. However, to balance effectiveness and safety, aspirin is suggested to be used for primary prevention of cardiovascular diseases with consideration for blood pressure control, resulting in better intervention efficiency.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Aspirin/therapeutic use*
		                        			;
		                        		
		                        			Cardiovascular Diseases/epidemiology*
		                        			;
		                        		
		                        			Gastrointestinal Hemorrhage
		                        			;
		                        		
		                        			Myocardial Infarction/prevention & control*
		                        			;
		                        		
		                        			Primary Prevention/methods*
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Aged
		                        			
		                        		
		                        	
6.Rapid identification of chronic kidney disease in electronic health record database using computable phenotype combining a common data model.
Huai-Yu WANG ; Jian DU ; Yu YANG ; Hongbo LIN ; Beiyan BAO ; Guohui DING ; Chao YANG ; Guilan KONG ; Luxia ZHANG
Chinese Medical Journal 2023;136(7):874-876
7.Nasal Administration of NMFGF1 Loaded Nanoparticles Improved Cognitive Dysfunction in Vascular Dementia Mice
ZHANG Ming ; SUN Minyi ; ZHU Ningwei ; CHEN Mengjia ; ZHAO Xichun
Chinese Journal of Modern Applied Pharmacy 2023;40(20):2838-2845
		                        		
		                        			
		                        			OBJECTIVE To investigate the effects of nasal administration of non-mitogenic acid fibroblast growth factor(NMFGF1) loaded nanoparticles(NMFGF1-NPs) on the improvement of cognitive function in vascular dementia(VD) mice and its mechanism. METHODS Nanoparticles containing NMFGF1(NMFGF1-NPs) were prepared by water-in-water emulsion technique and characterized. The mice were divided into sham group, VD model group, blank-NPs group, NMFGF1 solution group and NMFGF1-NPs group after repeated cerebral ischemia-reperfusion to establish VD test model, and then given the corresponding form of drug intervention by nasal cavity. After drug intervention, Morris water maze was used to evaluate the learning and memory function of the animals in each group from the perspective of behavior. Meanwhile, the morphology, arrangement and apoptosis index(AI) of hippocampal neurons in each group were evaluated by pathological methods such as HE staining, FJB staining and Tunel apoptosis staining. In addition, ELISA and Western blotting were used to investigate the molecular mechanism of NMFGF1-NPs improving VD by nasal administration. RESULTS The morphology of NMFGF1-NPs was round. The encapsulation rate of NMFGF1-NPs respectively was (87.76±5.89)%. Morris water maze results showed that the behavioral indexes of mice in VD model group were significantly different from those in sham operation group(P<0.01). At the same time, the pathological results showed that the neurons in the CA1 region of the hippocampus in the VD model group were disordered, the cells morphology and structure were missing, and the AI was significantly increased compared with that in the sham operation group(P<0.01). Meanwhile, compared with the VD model group, the NMFGF1-NPs treatment group showed significant improvement in various behavioral indexes, and the hippocampal neuron cells were intact and orderly, and the AI index was significantly decreased(P<0.01). ELISA and Western blotting analysis showed that compared with that of VD model group and other intervention groups, the content of MDA in the brain of NMFGF1-NPs treatment group was significantly decreased. While the content of SOD, NO and the expressions of Nrf2, SOD-1 and GSTO1/2 was significantly increased (P<0.01). CONCLUSION Nasal administration of NMFGF1-NPs can play the role of antioxidant stress damage by activating Nrf2/ARE signal pathway, and ultimately improve the learning and cognitive function of VD mice.
		                        		
		                        		
		                        		
		                        	
8.Accuracy of the China-PAR and WHO risk models in predicting the ten-year risks of cardiovascular disease in the Chinese population.
Wei Ye CHEN ; Xiao Fei LIU ; Peng SHEN ; Qi CHEN ; Ye Xiang SUN ; Jin Guo WU ; Ping LU ; Jing Yi ZHANG ; Hong Bo LIN ; Xun TANG ; Pei GAO
Chinese Journal of Epidemiology 2022;43(8):1275-1281
		                        		
		                        			
		                        			Objective: To externally validate and compare the accuracy of the China-PAR (Prediction for ASCVD Risk in China) model and the 2019 World Health Organization (WHO) cardiovascular disease risk charts for East Asian in predicting a 10-year cardiovascular disease in a general Chinese population. Methods: Participants aged 40-79 years without prior cardiovascular disease at baseline in the CHinese Electronic health Records Research in Yinzhou (CHERRY) were analyzed. The Kaplan-Meier analysis estimated the observed cardiovascular events (including non-fatal myocardial infarction, fatal coronary heart disease, and non-fatal or fatal stroke) rate within ten years. The expected risks were calculated using the WHO risk charts for East Asia (including the laboratory-based and non-laboratory-based models) and the China-PAR model. The expected-observed ratios were calculated to evaluate the overestimation or underestimation of the models in the cohort. Model accuracy was assessed by discrimination C-index, calibration χ2 value, and calibration plots. Results: During a median of 7.26 years of follow-up, 13 301 cardiovascular events were identified among 225 811 participants. The C-index for the China-PAR model, WHO laboratory-based model and WHO non-laboratory-based model were 0.741 (0.735-0.747), 0.747 (0.740-0.753), and 0.739 (0.733-0.746) for men, and 0.782 (0.776-0.788), 0.789 (0.783-0.795), and 0.782 (0.776-0.787) for women, respectively. The WHO laboratory-based model and non-laboratory-based model underestimated the 10-year ASCVD risk by around 15% in women and underestimated by 0.8% and 4.4% in men, respectively. The China-PAR model underestimated the risks by 19.5% and 42.3% for men and women. Conclusions: The China-PAR and WHO models all have pretty good discriminations for 10-year cardiovascular risk assessment in this general Chinese population. However, the accuracy should be improved in the highest-risk groups, suggesting further specific models are still needed for those with the highest risk, such as patients with diabetes or older persons.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Cardiovascular Diseases/epidemiology*
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Risk Assessment
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			World Health Organization
		                        			
		                        		
		                        	
9.Effectiveness of statin treatment strategies for primary prevention of cardiovascular diseases in a community-based Chinese population: A decision-analytic Markov model.
Chao GONG ; Qiu Ping LIU ; Jia Min WANG ; Xiao Fei LIU ; Ming Lu ZHANG ; Han YANG ; Peng SHEN ; Hong Bo LIN ; Xun TANG ; Pei GAO
Journal of Peking University(Health Sciences) 2022;54(3):443-449
		                        		
		                        			OBJECTIVE:
		                        			To evaluate the effectiveness of statin treatment strategies based on risk assessment for the primary prevention of cardiovascular diseases by the Western guidelines in a community-based Chinese population from economically developed areas using data from the Chinese electronic health records research in Yinzhou (CHERRY) study.
		                        		
		                        			METHODS:
		                        			A Markov model was used to evaluate the effectiveness of the following statin treatment strategies, including: (1) usual care without cardiovascular risk assessment(Strategy 0); (2) using the World Health Organization (WHO) non-laboratory-based risk charts with statin treatment for high-risk group (risk ≥ 20%) (Strategy 1); (3) using the WHO laboratory-based risk charts with statin treatment for high-risk group (risk ≥ 20%) (Strategy 2); and (4) using the Prediction for Atherosclerotic cardiovascular disease Risk in China (China-PAR) model with statin treatment for high-risk group (risk ≥ 10%, Strategy 3). According to the guidelines, adults in the medium-risk group received lifestyle intervention, and adults in the high-risk group received life-style intervention and statin treatment under these strategies. The Markov model simulated different strategies for ten years (cycles) using parameters from the CHERRY study, published data, meta-analyses and systematic reviews for Chinese. The number of cardiovascular events or deaths, as well as the number need to treat (NNT) with statin per cardiovascular event or death prevented, were calculated to compare the effectiveness of different strategies. One-way sensitivity analysis on the uncertainty of incidence rate of cardiovascular diseases, and probabilistic sensitivity analysis on the uncertainty of hazard ratios of interventions were conducted.
		                        		
		                        			RESULTS:
		                        			Totally 225 811 Chinese adults aged 40-79 years without cardiovascular diseases at baseline were enrolled. In contrast to the usual care without risk assessment-based statin treatment strategy, Strategy 1 using the WHO non-laboratory-based risk charts could prevent 3 482 [95% uncertainty interval (UI): 2 110-4 661] cardiovascular events, Strategy 2 using the WHO laboratory-based risk charts could prevent 3 685 (95%UI: 2 255-4 912) events, and Strategy 3 using the China-PAR model could prevent 3 895 (95%UI: 2 396-5 181) events. NNTs with statin per cardiovascular event prevented were 22 (95%UI: 14-54), 21 (95%UI: 14-52), and 27 (95%UI: 17-67), respectively. Strategy 3 could prevent more cardiovascular events, while Strategies 1 and 2 required fewer numbers need to treat with statin per cardiovascular event prevented. The results were consistent in the sensitivity analyses.
		                        		
		                        			CONCLUSION
		                        			The statin treatment strategies based on risk assessment for the primary prevention of cardiovascular diseases recommended by the Western guidelines could achieve substantive health benefits in adults from developed areas of China. Using the China-PAR model for cardiovascular risk assessment could prevent more cardiovascular diseases while using the WHO risk charts seems more efficient.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Cardiovascular Diseases/prevention & control*
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Cost-Benefit Analysis
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use*
		                        			;
		                        		
		                        			Primary Prevention
		                        			
		                        		
		                        	
10.Effectiveness of different screening strategies for type 2 diabete on preventing cardiovascular diseases in a community-based Chinese population using a decision-analytic Markov model.
Jia Min WANG ; Qiu Ping LIU ; Ming Lu ZHANG ; Chao GONG ; Shu Dan LIU ; Wei Ye CHEN ; Peng SHEN ; Hong Bo LIN ; Pei GAO ; Xun TANG
Journal of Peking University(Health Sciences) 2022;54(3):450-457
		                        		
		                        			OBJECTIVE:
		                        			To evaluate the effectiveness of different screening strategies for type 2 diabetes to prevent cardiovascular disease in a community-based Chinese population from economically developed areas based on the Chinese electronic health records research in Yinzhou (CHERRY) study.
		                        		
		                        			METHODS:
		                        			A Markov model was used to simulate different systematic diabetes screening strategies, including: (1) screening among Chinese adults aged 40-70 years recommended by the 2020 Chinese Guideline for the prevention and Treatment of Type 2 Diabetes (Strategy 1); (2) screening among Chinese adults aged 35 to 70 years recommended by the 2022 American Diabetes Association Standard of Medical Care in Diabetes (Strategy 2); and (3) screening among Chinese adults aged 35-70 years with overweight or obesity recommended by the 2021 United States Preventive Services Task Force Recommendation Statement on Screening for Prediabetes and Type 2 Diabetes (Strategy 3). According to the guidelines, individuals who were screened positively (fasting plasma glucose ≥ 7.0 mmol/L) would be introduced to intensive glycemic targets management (glycated hemoglobin < 7.0%).The Markov model simulated different screening scenarios for ten years (cycles) with parameters mainly from the CHERRY study or published literature. Number of cardiovascular disease events or deaths could be prevented and number needed to screen (NNS) were calculated to compare the effectiveness of the different strategies. One-way sensitivity analysis on the sensitivity of screening methods and probabilistic sensitivity analysis on uncertainties of diabetes incidence, the sensitivity of screening methods, and intensive glycemic management effects were conducted.
		                        		
		                        			RESULTS:
		                        			Totally 289 245 Chinese adults aged 35-70 years without cardiovascular diseases or diagnosed diabetes at baseline were enrolled. In terms of the number of cardiovascular disease events could be prevented, Strategy 1 for systematic diabetes screening among the adults aged 35-70 years was 222 (95%UI: 180-264), Strategy 2 for systematic diabetes screening among the adults aged 40-70 years was 227 (95%UI: 185-271), and Strategy 3 for systematic diabetes screening among the adults aged 35-70 years with obesity or overweight (body mass index ≥ 24 kg/m2) was 131 (95%UI: 98-164), compared with opportunistic screening. NNS per cardiovascular disease event for the strategies 1, 2 and 3 were 1 184 (95%UI: 994-1 456), 1 274 (95%UI: 1 067-1 564) and 814 (95%UI: 649-1 091), respectively. Compared with Strategy 1, NNS per cardiovascular disease event for Strategy 2 increased by 90 (95%UI: -197-381) with similar effectiveness of cardiovascular prevention; however, NNS per cardiovascular disease event for Strategy 3 was reduced by 460 (95%UI: 185-724) in contrast to the Strategy 2, suggesting that the Strategy 3 was more efficient. The results were consistent in multiple sensitivity analyses.
		                        		
		                        			CONCLUSION
		                        			Systematic screening for diabetes based on the latest guidelines in economically developed areas of China can reduce cardiovascular events and deaths. However, merely lowering the starting age of screening from 40 to 35 years seems ineffective for preventing cardiovascular disease, while screening strategy for Chinese adults aged 35-70 years with overweight or obesity is recommended to improve efficiency.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Cardiovascular Diseases/prevention & control*
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Cost-Benefit Analysis
		                        			;
		                        		
		                        			Diabetes Mellitus, Type 2/prevention & control*
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Mass Screening/methods*
		                        			;
		                        		
		                        			Obesity
		                        			;
		                        		
		                        			Overweight
		                        			;
		                        		
		                        			United States
		                        			
		                        		
		                        	
            

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