BACKGROUND There are limited studies on diabetes empowerment among type 2 diabetes patients,particularly in the primary care setting.AIM To assess the diabetes empowerment scores and its correlated factors among type ...BACKGROUND There are limited studies on diabetes empowerment among type 2 diabetes patients,particularly in the primary care setting.AIM To assess the diabetes empowerment scores and its correlated factors among type 2 diabetes patients in a primary care clinic in Malaysia.METHODS This is a cross sectional study involving 322 patients with type 2 diabetes mellitus(DM)followed up in a primary care clinic.Systematic sampling method was used for patient recruitment.The Diabetes Empowerment Scale(DES)questionnaire was used to measure patient empowerment.It consists of three domains:(1)Managing the psychosocial aspect of diabetes(9 items);(2)Assessing dissatisfaction and readiness to change(9 items);and(3)Setting and achieving diabetes goal(10 items).A score was considered high if it ranged from 100 to 140.Data analysis was performed using SPSS version 25 and multiple linear regressions was used to identify the predictors of total diabetes empowerment scores.RESULTS The median age of the study population was 55 years old.56%were male and the mean duration of diabetes was 4 years.The total median score of the DES was 110[interquartile range(IQR)=10].The median scores of the three subscales were 40 with(IQR=4)for"Managing the psychosocial aspect of diabetes";36 with(IQR=3)for"Assessing dissatisfaction and readiness to change";and 34 with(IQR=5)for"Setting and achieving diabetes goal".According to multiple linear regressions,factors that had significant correlation with higher empowerment scores among type 2 diabetes patients included an above secondary education level(P<0.001),diabetes education exposure(P=0.003),lack of ischemic heart disease(P=0.017),and lower glycated hemoglobin(HbA1c)levels(P<0.001).CONCLUSION Diabetes empowerment scores were high among type 2 diabetes patients in this study population.Predictors for high empowerment scores included above secondary education level,diabetes education exposure,lack of ischemic heart disease status and lower HbA1c.展开更多
AIM: To assess the performance of the Finnish Diabetes Risk Score(FINDRISC) questionnaire for detecting and predicting type 2 diabetes mellitus(DM2) in a Colombian population.METHODS: This is a longitudinal observatio...AIM: To assess the performance of the Finnish Diabetes Risk Score(FINDRISC) questionnaire for detecting and predicting type 2 diabetes mellitus(DM2) in a Colombian population.METHODS: This is a longitudinal observational study conducted in Floridablanca, Colombia. Adult subjects(age ≥ 35 years) without known diabetes, were included. A modified version of FINDRISC was completed, and the glycemia values from all the subjects were collected from the hospital's database. Firstly, a cross-sectional analysis was performed and then, the subsample of prediabetic participants was followed for diabetes incidence. RESULTS: A total of 772 subjects were suitable for the study. The overall prevalence of undiagnosed DM2 was 2.59%, and the incidence of DM2 among the prediabetic participants was 7.5 per 100 person-years after a total of 265257 person-years follow-up. The FINDRISC at baseline was significantly associated with undiagnosed and incident DM2. The area under receiver operating characteristics curve of the FINDRISC score for detecting undiagnosed DM2 in both men and women was 0.7477 and 0.7175, respectively; and for predicting the incidence of DM2 among prediabetics was 71.99% in men and 67.74% in women. CONCLUSION: The FINDRISC questionnaire is a useful screening tool to identify cross-sectionally unknown DM2 and to predict the incidence of DM2 among prediabetics in the Colombian population.展开更多
Background Previous studies have demonstrated that micro RNA-204(mi R-204) is involved in atherosclerosis and vascular calcification. However, the value of mi R-204 as the predictive biomarker for cardiovascular disea...Background Previous studies have demonstrated that micro RNA-204(mi R-204) is involved in atherosclerosis and vascular calcification. However, the value of mi R-204 as the predictive biomarker for cardiovascular disease(CVD) remains unclear. We aimed to evaluate the association between the circulating mi R-204 level and ten-year CVD risk based on the Framingham risk score(FRS). Methods In this retrospective study, we enrolled 194 consecutive patients with type 2 diabetes mellitus(T2DM) without CVD in Beijing Anzhen Hospital between January 2015 and September 2016. We used the FRS to evaluate the risk of CVD for each patient. Circulating mi R-204 levels were measured by quantitative real-time polymerase chain reaction. Results Circulating mi R-204 levels were significantly lower in the group of patients(0.49 ± 0.13) at high risk of CVD(FRS > 20%) than in the low(FRS < 10%) and intermediate(FRS: 10%–20%) risk groups(0.87 ± 0.19 and 0.75 ± 0.25, respectively;P < 0.001). FRS was negatively correlated with mi R-204 levels(r =-0.421, P < 0.001). According to multivariate logistic analyses, reduced mi R-204 level was independently associated with an increased risk of CVD after adjusting for conventional risk factors(OR = 0.876, 95% CI: 0.807–0.950, P = 0.001). Receiver-operating characteristic curve analysis showed that the circulating mi R-204 level can predict the high risk of CVD with higher specificity than the traditional risk factor of high systolic blood pressure or the protective factor of high-density lipoprotein cholesterol. Conclusions Our study demonstrated that patients with lower circulating mi R-204 levels were at high risk for CVD. After adjustment for potential confounders, mi R-204 was independently associated with CVD in patients with T2DM.展开更多
AIM: To study clinical and histopathological features of nonalcoholic fatty liver disease(NAFLD) in patients with and without type 2 diabetes mellitus(T2DM) using updated nonalcoholic steatohepatitis clinical research...AIM: To study clinical and histopathological features of nonalcoholic fatty liver disease(NAFLD) in patients with and without type 2 diabetes mellitus(T2DM) using updated nonalcoholic steatohepatitis clinical research network(NASH-CRN) grading system.METHODS: We retrospectively analyzed data of 235 patients with biopsy proven NAFLD with and without T2 DM.This database was utilized in the previously published study comparing ethnicity outcomes in NAFLD by the same corresponding author.The pathology database from University of Chicago was utilized for enrolling consecutive patients who met the criteria for NAFLD and their detailed clinical and histopathology findings were obtained for comparison.The relevant clinical profile of patients was collected from the Electronic Medical Records around the time of liver biopsy and the histology was read by a single well-trained histopathologist.The updated criteria for type 2 diabetes have been utilized for analysis.Background data of patients with NASH and NAFLD has been included.The mean differences were compared using χ2 and t-test along with regression analysis to evaluate the predictors of NASH and advanced fibrosis.RESULTS: Patients with NAFLD and T2 DM were significantly older(49.9 vs 43.0,P < 0.01),predominantly female(71.4 vs 56.3,P < 0.02),had higher rate of metabolic syndrome(88.7 vs 36.4,P < 0.01),had significantly higher aspartate transaminase(AST)/alanine transaminase(ALT) ratio(0.94 vs 0.78,P < 0.01) and Fib-4 index(1.65 vs 1.06,P < 0.01) as markers of NASH,showed higher mean NAFLD activity score(3.5 vs 3.0,P = 0.03) and higher mean fibrosis score(1.2 vs 0.52,P < 0.01) compared to patients with NAFLD without T2 DM.Furthermore,advanced fibrosis(32.5 vs 12.0,P < 0.01) and ballooning(27.3 vs 13.3,P < 0.01) was significantly higher among patients with NAFLD and T2 DM compared to patients with NAFLD without T2 DM.On multivariate analysis,T2 DM was independently associated with NASH(OR = 3.27,95%CI: 1.43-7.50,P < 0.01) and advanced fibrosis(OR = 3.45,95%CI: 1.53-7.77,P < 0.01) in all patients with NAFLD.There was a higher rate of T2DM(38.1 vs 19.4,P < 0.01) and cirrhosis(8.3 vs 0.0,P = 0.01) along with significantly higher mean Bilirubin(0.71 vs 0.56,P = 0.01) and AST(54.2 vs 38.3,P < 0.01) and ALT(78.7 vs 57.0,P = 0.01) level among patients with NASH when compared to patients with steatosis alone.The mean platelet count(247 vs 283,P < 0.01) and high-density lipoprotein cholesterol level(42.7 vs 48.1,P = 0.01) was lower among patients with NASH compared to patients with steatosis.CONCLUSION: Patients with NAFLD and T2 DM tend to have more advanced stages of NAFLD,particularly advanced fibrosis and higher rate of ballooning than patients with NAFLD without T2 DM.展开更多
Objective:To determine the predictive value of P2/MS in patients with chronic HBV-related cirrhosis, and to predict high-risk esophageal varices, and obtain a cut-off value.Methods:A total of 412 patients with HBV-rel...Objective:To determine the predictive value of P2/MS in patients with chronic HBV-related cirrhosis, and to predict high-risk esophageal varices, and obtain a cut-off value.Methods:A total of 412 patients with HBV-related cirrhosis who were admitted to our hospital between August 2014 and August 2017 were retrospectively evaluated. A diagnosis of cirrhosis was made with standard laboratory, radiological and physical examination findings. According to these evaluations, esophageal varices were classified as small, medium and large. For all obtained data, P2/MS was calculated. Two threshold values (P2/MS<11 and P2/MS>25) were considered in predicting the presence of high-risk EVs during recording. And the optimal cut-off value of the P2/MS index was determined for high-risk esophageal varices in patients with chronic viral hepatitis B.Results:A total of 375 patients who met the inclusion criteria were included in the study. When the P2/MS index was compared with other noninvasive tests, the mean and median P2/MS scores were respectively 54.17 and 33.25. The P2/MS value of the patients without esophageal varices was higher than that of the patients with esophageal varices. When these results were evaluated, the higher the score, the lower the risk of varices. We obtained a positive predictive value of 93.80% [95%CI(80.20-98.70)] when the cut-off value of P2/MS was taken as <11, and obtained a negative predictive value of 94.30% [95%CI(86.20-98.20%)] when the cut-off value of P2/MS was taken as >25.Conclusions:We could predict the patients with high-risk esophageal varices within this group at a extremely good rate. We also compared the results of this test with other non-invasive tests and achieved successful results. We have shown that P2/MS can be used in order to optimally select patients for endoscopic screening and prevent all of the expensive and unnecessary procedures safely.展开更多
Objective: To develop and validate a prognostic scoring scheme for the prediction of microalbuminuria in type 2 diabetic patients of Thai descent. Methods: The clinical information from type 2 diabetic patients who we...Objective: To develop and validate a prognostic scoring scheme for the prediction of microalbuminuria in type 2 diabetic patients of Thai descent. Methods: The clinical information from type 2 diabetic patients who were treated at community hospitals was used to develop a prediction model (derivation set). The model evaluated at a tertiary hospital (validation set). A stepwise logistic regression model was used to identify the independent risk variables from the derivation set and a simple point scoring system was derived from the beta-coefficients. The risk scoring scheme was validated by the validation set. Results: The risk scoring scheme is based on six risk predictors: the duration of diabetes, age at the onset of diabetes, systolic blood pressure, low density lipoprotein levels, creatinine levels, and alcohol consumption. The total score ranged from 0 to 11.5. The likelihood of microalbuminuria in patients with low risk (scores ≤ 2) was 0.28, with moderate risk (scores 2.5 to 5.5) was 0.86, and high risk (scores ≥ 6) was 7.36. The area under the ROC curve of the derivation set and validation set were 0.768 (95% CI 0.73 - 0.81) and 0.758 (95% CI 0.70 - 0.80), respectively. Conclusion: Our scoring system is a simple and reasonably accurate method for predicting the future presence of microalbuminuria in type 2 diabetic patients.展开更多
Initially developed to predict stroke probability in patientswith atrial fibrillation (AF),t1~1 CHADS2 and CHA2DS2VASCscores are used to predict different outcomes in cardiac pa-tients in both acute and chronic cond...Initially developed to predict stroke probability in patientswith atrial fibrillation (AF),t1~1 CHADS2 and CHA2DS2VASCscores are used to predict different outcomes in cardiac pa-tients in both acute and chronic conditions. Thescores were also demonstrated to correlate with mortal-ity. AF also has been associated with mortality indifferent groups of patients, including elderly.展开更多
<b><span style="font-family:Verdana;">Objectives: </span></b></span><span><span><span style="font-family:""><span style="font-family:Ver...<b><span style="font-family:Verdana;">Objectives: </span></b></span><span><span><span style="font-family:""><span style="font-family:Verdana;">Early identification of patients with the novel coronavirus in</span><span style="font-family:Verdana;">duced-disease 2019 (COVID-19) and pneumonia is currently challenging.</span><span style="font-family:Verdana;"> Few data are available on validated scores predictive of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection. The Portuguese Society of Intensive Care (PSIC) proposed a risk score whose main goals were to predict a higher probability of COVID-19 and optimize hospital resources, adjusting patients’ intervention. This study aimed to validate the PSIC risk score applied to inpatients with pneumonia.</span><b><span style="font-family:Verdana;"> Methods:</span></b><span style="font-family:Verdana;"> A retrospective analysis of 207 patients with pneumonia admitted to a suspected/confirmed </span><span style="font-family:Verdana;">SARS-CoV-2 infection specialized ward (20/03 to 20/05/2020) was per</span><span style="font-family:Verdana;">formed. Score variables were analyzed to determine the significance of the indepen</span><span style="font-family:Verdana;">dent predictive variables on the probability of a positive SARS-CoV-2</span><span style="font-family:Verdana;"> rRT-PCR test. The binary logistic regression modeling approach was selected. The best cut-off value was obtained with the Receiver Operating Characteristic (ROC) curve together with the evaluation of the discriminatory power through the Area Under the Curve (AUC).</span><b><span style="font-family:Verdana;"> Results: </span></b><span style="font-family:Verdana;">The validation cohort included</span><b> </b><span style="font-family:Verdana;">145 patients. Typical chest computed-tomography features (OR, 12.16;95%</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">CI, 3.32</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">44.50) and contact with a positive SARS-CoV-2 patient (OR, 6.56;95%</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">CI, 1.33</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">32.30) were the most significant independent predictive variables. A score ≥</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">10 increased suspicion for</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">SARS-CoV-2 pneumonia</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">. The AUC</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">was</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.82 (</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">95%</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">CI, 0.73</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.91</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">) demonstrating the good discriminating power for COVID-19 probability stratification in inpatients with pneumonia. </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><b><span style="font-family:Verdana;">Conclusions: </span></b></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">The application of the PSIC score to inpatients with pneumonia may be of value in predicting the risk of COVID-19.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">Further studies from other centers are needed to validate this score widely.展开更多
Objective:To analyze the clinical characteristics of patients with type 2 diabetes mellitus(T2DM)with acute coronary syndrome(ACS),the global registry of acute coronary events(GRACE)score,the thrombolysis in myocardia...Objective:To analyze the clinical characteristics of patients with type 2 diabetes mellitus(T2DM)with acute coronary syndrome(ACS),the global registry of acute coronary events(GRACE)score,the thrombolysis in myocardial infarction(TIMI)score and clinical prognosis.Method:The study was a retrospective one-center observational study,continuous inclusion of 600 ACS patients diagnosed by coronary angiography in our hospital from October 2018 to July 2019.Collect general clinical data,laboratory examination results,imaging data and interventional treatment data of all patients.Were divided into:T2DM with ACS group(group DA)and non-T2DM with ACS(group NDA)according to whether or not they were associated with T2DM.According to the GRACE、TIMI score,the two groups were divided into high risk group,middle risk group and low risk group.All patients underwent coronary angiography to calculate the number of vascular lesions and Gensini scores.Design questionnaire,after discharge to 2 groups of patients by telephone or outpatient follow-up average of 10 months,statistics of the occurrence of MACE events.Result:Among the 600 patients included in the study,362 were male(60.3%)and 238 were female(39.7%)with mean age(64.7±10.3)years.The baseline data showed that the G、TG、UA、CR levels were higher in the DA group than in the NDA group;the proportion of men was lower than in the NDA group.The results of coronary angiography showed that the Gensini score of DA group was higher than that of NDA group,and the proportion of single lesion was lower than that of NDA group.The binary Logistic regression analysis suggested that age and CRP were independent risk factors for MACE events in patients with T2DM.GRACE risk stratification showed that the proportion of high risk group in DA group was significantly higher than that in NDA group,and there was no significant difference between low and middle risk group.TIMI risk stratification showed that the proportion of high risk group in DA group was significantly higher than that in NDA group,while the proportion of low and middle risk group was lower than that in NDA group.The ROC curve shows that the area(AUC)below the ROC curve that GRACE、TIMI score predicted the occurrence of MACE events in patients with T2DM and ACS was 0.707 and 0.586.Conclusion:Patients with T2DM and ACS had higher clinical risk stratification than without T2DM.GRACE score compared with the TIMI score had better predictive value for the occurrence of MACE events after discharge of T2DM with ACS patients.展开更多
目的探讨2型糖尿病(type 2 diabetes mellitus,T2DM)患者胰岛素抵抗代谢评分(metabolic score for insulin resistance,METS-IR)与骨密度(bone mineral density,BMD)是否具有相关性。方法纳入370例T2DM患者,根据骨密度分为骨质疏松组和...目的探讨2型糖尿病(type 2 diabetes mellitus,T2DM)患者胰岛素抵抗代谢评分(metabolic score for insulin resistance,METS-IR)与骨密度(bone mineral density,BMD)是否具有相关性。方法纳入370例T2DM患者,根据骨密度分为骨质疏松组和非骨质疏松组。收集患者的一般资料和骨密度值,计算METS-IR。分析METS-IR与骨密度之间的关系。结果男性T2DM患者中合并骨质疏松症的METS-IR显著低于非骨质疏松组(P<0.05)。Spearman相关分析显示METS-IR与髋部整体、腰椎整体和股骨颈BMD呈正相关(P<0.001)。在校正潜在因素后,二元Logistic回归分析结果显示,METS-IR是男性和女性T2DM患者骨密度的保护因素(OR=0.916,95%CI:0.870~0.964,P=0.001;OR=0.945,95%CI:0.898~0.995,P=0.033)。结论在T2DM患者中,METS-IR与股骨颈、髋部整体和腰椎BMD相关。METS-IR可能是骨密度的保护因素。展开更多
基金Supported by research grant from University Putra Malaysia,No.GPIPS/2018/9612600
文摘BACKGROUND There are limited studies on diabetes empowerment among type 2 diabetes patients,particularly in the primary care setting.AIM To assess the diabetes empowerment scores and its correlated factors among type 2 diabetes patients in a primary care clinic in Malaysia.METHODS This is a cross sectional study involving 322 patients with type 2 diabetes mellitus(DM)followed up in a primary care clinic.Systematic sampling method was used for patient recruitment.The Diabetes Empowerment Scale(DES)questionnaire was used to measure patient empowerment.It consists of three domains:(1)Managing the psychosocial aspect of diabetes(9 items);(2)Assessing dissatisfaction and readiness to change(9 items);and(3)Setting and achieving diabetes goal(10 items).A score was considered high if it ranged from 100 to 140.Data analysis was performed using SPSS version 25 and multiple linear regressions was used to identify the predictors of total diabetes empowerment scores.RESULTS The median age of the study population was 55 years old.56%were male and the mean duration of diabetes was 4 years.The total median score of the DES was 110[interquartile range(IQR)=10].The median scores of the three subscales were 40 with(IQR=4)for"Managing the psychosocial aspect of diabetes";36 with(IQR=3)for"Assessing dissatisfaction and readiness to change";and 34 with(IQR=5)for"Setting and achieving diabetes goal".According to multiple linear regressions,factors that had significant correlation with higher empowerment scores among type 2 diabetes patients included an above secondary education level(P<0.001),diabetes education exposure(P=0.003),lack of ischemic heart disease(P=0.017),and lower glycated hemoglobin(HbA1c)levels(P<0.001).CONCLUSION Diabetes empowerment scores were high among type 2 diabetes patients in this study population.Predictors for high empowerment scores included above secondary education level,diabetes education exposure,lack of ischemic heart disease status and lower HbA1c.
基金Supported by The Ophthalmological Foundation of Santander-FOSCAL
文摘AIM: To assess the performance of the Finnish Diabetes Risk Score(FINDRISC) questionnaire for detecting and predicting type 2 diabetes mellitus(DM2) in a Colombian population.METHODS: This is a longitudinal observational study conducted in Floridablanca, Colombia. Adult subjects(age ≥ 35 years) without known diabetes, were included. A modified version of FINDRISC was completed, and the glycemia values from all the subjects were collected from the hospital's database. Firstly, a cross-sectional analysis was performed and then, the subsample of prediabetic participants was followed for diabetes incidence. RESULTS: A total of 772 subjects were suitable for the study. The overall prevalence of undiagnosed DM2 was 2.59%, and the incidence of DM2 among the prediabetic participants was 7.5 per 100 person-years after a total of 265257 person-years follow-up. The FINDRISC at baseline was significantly associated with undiagnosed and incident DM2. The area under receiver operating characteristics curve of the FINDRISC score for detecting undiagnosed DM2 in both men and women was 0.7477 and 0.7175, respectively; and for predicting the incidence of DM2 among prediabetics was 71.99% in men and 67.74% in women. CONCLUSION: The FINDRISC questionnaire is a useful screening tool to identify cross-sectionally unknown DM2 and to predict the incidence of DM2 among prediabetics in the Colombian population.
基金the National Natural Scientific Foundation of China (No. 81573744 & No. 81973841)。
文摘Background Previous studies have demonstrated that micro RNA-204(mi R-204) is involved in atherosclerosis and vascular calcification. However, the value of mi R-204 as the predictive biomarker for cardiovascular disease(CVD) remains unclear. We aimed to evaluate the association between the circulating mi R-204 level and ten-year CVD risk based on the Framingham risk score(FRS). Methods In this retrospective study, we enrolled 194 consecutive patients with type 2 diabetes mellitus(T2DM) without CVD in Beijing Anzhen Hospital between January 2015 and September 2016. We used the FRS to evaluate the risk of CVD for each patient. Circulating mi R-204 levels were measured by quantitative real-time polymerase chain reaction. Results Circulating mi R-204 levels were significantly lower in the group of patients(0.49 ± 0.13) at high risk of CVD(FRS > 20%) than in the low(FRS < 10%) and intermediate(FRS: 10%–20%) risk groups(0.87 ± 0.19 and 0.75 ± 0.25, respectively;P < 0.001). FRS was negatively correlated with mi R-204 levels(r =-0.421, P < 0.001). According to multivariate logistic analyses, reduced mi R-204 level was independently associated with an increased risk of CVD after adjusting for conventional risk factors(OR = 0.876, 95% CI: 0.807–0.950, P = 0.001). Receiver-operating characteristic curve analysis showed that the circulating mi R-204 level can predict the high risk of CVD with higher specificity than the traditional risk factor of high systolic blood pressure or the protective factor of high-density lipoprotein cholesterol. Conclusions Our study demonstrated that patients with lower circulating mi R-204 levels were at high risk for CVD. After adjustment for potential confounders, mi R-204 was independently associated with CVD in patients with T2DM.
文摘AIM: To study clinical and histopathological features of nonalcoholic fatty liver disease(NAFLD) in patients with and without type 2 diabetes mellitus(T2DM) using updated nonalcoholic steatohepatitis clinical research network(NASH-CRN) grading system.METHODS: We retrospectively analyzed data of 235 patients with biopsy proven NAFLD with and without T2 DM.This database was utilized in the previously published study comparing ethnicity outcomes in NAFLD by the same corresponding author.The pathology database from University of Chicago was utilized for enrolling consecutive patients who met the criteria for NAFLD and their detailed clinical and histopathology findings were obtained for comparison.The relevant clinical profile of patients was collected from the Electronic Medical Records around the time of liver biopsy and the histology was read by a single well-trained histopathologist.The updated criteria for type 2 diabetes have been utilized for analysis.Background data of patients with NASH and NAFLD has been included.The mean differences were compared using χ2 and t-test along with regression analysis to evaluate the predictors of NASH and advanced fibrosis.RESULTS: Patients with NAFLD and T2 DM were significantly older(49.9 vs 43.0,P < 0.01),predominantly female(71.4 vs 56.3,P < 0.02),had higher rate of metabolic syndrome(88.7 vs 36.4,P < 0.01),had significantly higher aspartate transaminase(AST)/alanine transaminase(ALT) ratio(0.94 vs 0.78,P < 0.01) and Fib-4 index(1.65 vs 1.06,P < 0.01) as markers of NASH,showed higher mean NAFLD activity score(3.5 vs 3.0,P = 0.03) and higher mean fibrosis score(1.2 vs 0.52,P < 0.01) compared to patients with NAFLD without T2 DM.Furthermore,advanced fibrosis(32.5 vs 12.0,P < 0.01) and ballooning(27.3 vs 13.3,P < 0.01) was significantly higher among patients with NAFLD and T2 DM compared to patients with NAFLD without T2 DM.On multivariate analysis,T2 DM was independently associated with NASH(OR = 3.27,95%CI: 1.43-7.50,P < 0.01) and advanced fibrosis(OR = 3.45,95%CI: 1.53-7.77,P < 0.01) in all patients with NAFLD.There was a higher rate of T2DM(38.1 vs 19.4,P < 0.01) and cirrhosis(8.3 vs 0.0,P = 0.01) along with significantly higher mean Bilirubin(0.71 vs 0.56,P = 0.01) and AST(54.2 vs 38.3,P < 0.01) and ALT(78.7 vs 57.0,P = 0.01) level among patients with NASH when compared to patients with steatosis alone.The mean platelet count(247 vs 283,P < 0.01) and high-density lipoprotein cholesterol level(42.7 vs 48.1,P = 0.01) was lower among patients with NASH compared to patients with steatosis.CONCLUSION: Patients with NAFLD and T2 DM tend to have more advanced stages of NAFLD,particularly advanced fibrosis and higher rate of ballooning than patients with NAFLD without T2 DM.
文摘Objective:To determine the predictive value of P2/MS in patients with chronic HBV-related cirrhosis, and to predict high-risk esophageal varices, and obtain a cut-off value.Methods:A total of 412 patients with HBV-related cirrhosis who were admitted to our hospital between August 2014 and August 2017 were retrospectively evaluated. A diagnosis of cirrhosis was made with standard laboratory, radiological and physical examination findings. According to these evaluations, esophageal varices were classified as small, medium and large. For all obtained data, P2/MS was calculated. Two threshold values (P2/MS<11 and P2/MS>25) were considered in predicting the presence of high-risk EVs during recording. And the optimal cut-off value of the P2/MS index was determined for high-risk esophageal varices in patients with chronic viral hepatitis B.Results:A total of 375 patients who met the inclusion criteria were included in the study. When the P2/MS index was compared with other noninvasive tests, the mean and median P2/MS scores were respectively 54.17 and 33.25. The P2/MS value of the patients without esophageal varices was higher than that of the patients with esophageal varices. When these results were evaluated, the higher the score, the lower the risk of varices. We obtained a positive predictive value of 93.80% [95%CI(80.20-98.70)] when the cut-off value of P2/MS was taken as <11, and obtained a negative predictive value of 94.30% [95%CI(86.20-98.20%)] when the cut-off value of P2/MS was taken as >25.Conclusions:We could predict the patients with high-risk esophageal varices within this group at a extremely good rate. We also compared the results of this test with other non-invasive tests and achieved successful results. We have shown that P2/MS can be used in order to optimally select patients for endoscopic screening and prevent all of the expensive and unnecessary procedures safely.
文摘Objective: To develop and validate a prognostic scoring scheme for the prediction of microalbuminuria in type 2 diabetic patients of Thai descent. Methods: The clinical information from type 2 diabetic patients who were treated at community hospitals was used to develop a prediction model (derivation set). The model evaluated at a tertiary hospital (validation set). A stepwise logistic regression model was used to identify the independent risk variables from the derivation set and a simple point scoring system was derived from the beta-coefficients. The risk scoring scheme was validated by the validation set. Results: The risk scoring scheme is based on six risk predictors: the duration of diabetes, age at the onset of diabetes, systolic blood pressure, low density lipoprotein levels, creatinine levels, and alcohol consumption. The total score ranged from 0 to 11.5. The likelihood of microalbuminuria in patients with low risk (scores ≤ 2) was 0.28, with moderate risk (scores 2.5 to 5.5) was 0.86, and high risk (scores ≥ 6) was 7.36. The area under the ROC curve of the derivation set and validation set were 0.768 (95% CI 0.73 - 0.81) and 0.758 (95% CI 0.70 - 0.80), respectively. Conclusion: Our scoring system is a simple and reasonably accurate method for predicting the future presence of microalbuminuria in type 2 diabetic patients.
文摘Initially developed to predict stroke probability in patientswith atrial fibrillation (AF),t1~1 CHADS2 and CHA2DS2VASCscores are used to predict different outcomes in cardiac pa-tients in both acute and chronic conditions. Thescores were also demonstrated to correlate with mortal-ity. AF also has been associated with mortality indifferent groups of patients, including elderly.
文摘<b><span style="font-family:Verdana;">Objectives: </span></b></span><span><span><span style="font-family:""><span style="font-family:Verdana;">Early identification of patients with the novel coronavirus in</span><span style="font-family:Verdana;">duced-disease 2019 (COVID-19) and pneumonia is currently challenging.</span><span style="font-family:Verdana;"> Few data are available on validated scores predictive of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection. The Portuguese Society of Intensive Care (PSIC) proposed a risk score whose main goals were to predict a higher probability of COVID-19 and optimize hospital resources, adjusting patients’ intervention. This study aimed to validate the PSIC risk score applied to inpatients with pneumonia.</span><b><span style="font-family:Verdana;"> Methods:</span></b><span style="font-family:Verdana;"> A retrospective analysis of 207 patients with pneumonia admitted to a suspected/confirmed </span><span style="font-family:Verdana;">SARS-CoV-2 infection specialized ward (20/03 to 20/05/2020) was per</span><span style="font-family:Verdana;">formed. Score variables were analyzed to determine the significance of the indepen</span><span style="font-family:Verdana;">dent predictive variables on the probability of a positive SARS-CoV-2</span><span style="font-family:Verdana;"> rRT-PCR test. The binary logistic regression modeling approach was selected. The best cut-off value was obtained with the Receiver Operating Characteristic (ROC) curve together with the evaluation of the discriminatory power through the Area Under the Curve (AUC).</span><b><span style="font-family:Verdana;"> Results: </span></b><span style="font-family:Verdana;">The validation cohort included</span><b> </b><span style="font-family:Verdana;">145 patients. Typical chest computed-tomography features (OR, 12.16;95%</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">CI, 3.32</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">44.50) and contact with a positive SARS-CoV-2 patient (OR, 6.56;95%</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">CI, 1.33</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">32.30) were the most significant independent predictive variables. A score ≥</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">10 increased suspicion for</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">SARS-CoV-2 pneumonia</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">. The AUC</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">was</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.82 (</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">95%</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">CI, 0.73</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.91</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">) demonstrating the good discriminating power for COVID-19 probability stratification in inpatients with pneumonia. </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><b><span style="font-family:Verdana;">Conclusions: </span></b></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">The application of the PSIC score to inpatients with pneumonia may be of value in predicting the risk of COVID-19.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">Further studies from other centers are needed to validate this score widely.
基金512 Talent Culture Planning(No.by51201317,by51201105)Innovation Team of Basic and Clinical Application for Cardiovascular Injury and Protection(No.BYKC201906)+1 种基金Technology and Science Innovation Team of Bengbu Medical College(No.BYJC201901)Natural Science Research Key Programm of Bengbu Medical College(No.2020byzd109)。
文摘Objective:To analyze the clinical characteristics of patients with type 2 diabetes mellitus(T2DM)with acute coronary syndrome(ACS),the global registry of acute coronary events(GRACE)score,the thrombolysis in myocardial infarction(TIMI)score and clinical prognosis.Method:The study was a retrospective one-center observational study,continuous inclusion of 600 ACS patients diagnosed by coronary angiography in our hospital from October 2018 to July 2019.Collect general clinical data,laboratory examination results,imaging data and interventional treatment data of all patients.Were divided into:T2DM with ACS group(group DA)and non-T2DM with ACS(group NDA)according to whether or not they were associated with T2DM.According to the GRACE、TIMI score,the two groups were divided into high risk group,middle risk group and low risk group.All patients underwent coronary angiography to calculate the number of vascular lesions and Gensini scores.Design questionnaire,after discharge to 2 groups of patients by telephone or outpatient follow-up average of 10 months,statistics of the occurrence of MACE events.Result:Among the 600 patients included in the study,362 were male(60.3%)and 238 were female(39.7%)with mean age(64.7±10.3)years.The baseline data showed that the G、TG、UA、CR levels were higher in the DA group than in the NDA group;the proportion of men was lower than in the NDA group.The results of coronary angiography showed that the Gensini score of DA group was higher than that of NDA group,and the proportion of single lesion was lower than that of NDA group.The binary Logistic regression analysis suggested that age and CRP were independent risk factors for MACE events in patients with T2DM.GRACE risk stratification showed that the proportion of high risk group in DA group was significantly higher than that in NDA group,and there was no significant difference between low and middle risk group.TIMI risk stratification showed that the proportion of high risk group in DA group was significantly higher than that in NDA group,while the proportion of low and middle risk group was lower than that in NDA group.The ROC curve shows that the area(AUC)below the ROC curve that GRACE、TIMI score predicted the occurrence of MACE events in patients with T2DM and ACS was 0.707 and 0.586.Conclusion:Patients with T2DM and ACS had higher clinical risk stratification than without T2DM.GRACE score compared with the TIMI score had better predictive value for the occurrence of MACE events after discharge of T2DM with ACS patients.
文摘目的探讨2型糖尿病(type 2 diabetes mellitus,T2DM)患者胰岛素抵抗代谢评分(metabolic score for insulin resistance,METS-IR)与骨密度(bone mineral density,BMD)是否具有相关性。方法纳入370例T2DM患者,根据骨密度分为骨质疏松组和非骨质疏松组。收集患者的一般资料和骨密度值,计算METS-IR。分析METS-IR与骨密度之间的关系。结果男性T2DM患者中合并骨质疏松症的METS-IR显著低于非骨质疏松组(P<0.05)。Spearman相关分析显示METS-IR与髋部整体、腰椎整体和股骨颈BMD呈正相关(P<0.001)。在校正潜在因素后,二元Logistic回归分析结果显示,METS-IR是男性和女性T2DM患者骨密度的保护因素(OR=0.916,95%CI:0.870~0.964,P=0.001;OR=0.945,95%CI:0.898~0.995,P=0.033)。结论在T2DM患者中,METS-IR与股骨颈、髋部整体和腰椎BMD相关。METS-IR可能是骨密度的保护因素。