scholarly journals Pharmacokinetic insights in individual drug response: A model-based approach to quantify individual exposure-response relationships in type 2 diabetes

2021 ◽  
Author(s):  
◽  
Jeroen Koomen
Keyword(s):  
Type 2 Diabetes ◽  
Drug Response ◽  
Individual Exposure ◽  
Individual Drug ◽  
Model Based ◽  
Exposure Response ◽  
Individual Drug Response

scholarly journals A novel drug response score more accurately predicts renoprotective drug effects than existing renal risk scores

2021 ◽  
Vol 12 ◽  
pp. 204201882097419
Author(s):  
Nienke M. A. Idzerda ◽  
Sok Cin Tye ◽  
Dick de Zeeuw ◽  
Hiddo J. L. Heerspink
Keyword(s):  
Type 2 Diabetes ◽  
Kidney Disease ◽  
Serum Creatinine ◽  
Risk Score ◽  
Drug Response ◽  
Drug Effects ◽  
Risk Scores ◽  
Renal Outcome ◽  
Response Score

Background: Risk factor-based equations are used to predict risk of kidney disease progression in patients with type 2 diabetes order to guide treatment decisions. It is, however, unknown whether these models can also be used to predict the effects of drugs on clinical outcomes. Methods: The previously developed Parameter Response Efficacy (PRE) score, which integrates multiple short-term drug effects, was first compared with the existing risk scores, Kidney Failure Risk Equation (KFRE) and The Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) renal risk score, in its performance to predict end-stage renal disease (ESRD; KFRE) and doubling of serum creatinine or ESRD (ADVANCE). Second, changes in the risk scores were compared after 6 months’ treatment to predict the long-term effects of losartan on these renal outcomes in patients with type 2 diabetes and chronic kidney disease. Results: The KFRE, ADVANCE and PRE scores showed similarly good performance in predicting renal risk. However, for prediction of the effect of losartan, the KFRE risk score predicted a relative risk change in the occurrence of ESRD of 3.1% [95% confidence interval (CI) −5 to 12], whereas the observed risk change was −28.8% (95% CI −42.0 to −11.5). For the composite endpoint of doubling of serum creatinine or ESRD, the ADVANCE score predicted a risk change of −12.4% (95% CI −17 to −7), which underestimated the observed risk change −21.8% (95% CI −34 to −6). The PRE score predicted renal risk changes that were close to the observed risk changes with losartan treatment [−24.0% (95% CI −30 to −17) and −22.6% (95% CI −23 to −16) for ESRD and the composite renal outcome, respectively]. Conclusion: A drug response score such as the PRE score may assist in improving clinical decision making and implement precision medicine strategies.

scholarly journals Determinants of glycaemic control among patients with type 2 diabetes: testing a process model based on self-determination theory

Heliyon ◽  
2020 ◽  
Vol 6 (10) ◽  
pp. e04993
Author(s):  
Cecilia Grønnegaard ◽  
Annemarie Varming ◽  
Timothy Skinner ◽  
Kasper Olesen ◽  
Ingrid Willaing
Keyword(s):  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Process Model ◽  
Self Determination Theory ◽  
Self Determination ◽  
Model Based

scholarly journals Inferences of Individual Drug Response-Related Long Non-coding RNAs Based on Integrating Multi-omics Data in Breast Cancer

2020 ◽  
Vol 20 ◽  
pp. 128-139
Author(s):  
Hao Cui ◽  
Hanqing Kong ◽  
Fuhui Peng ◽  
Chunjing Wang ◽  
Dandan Zhang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Drug Response ◽  
Omics Data ◽  
Individual Drug ◽  
Non Coding Rnas ◽  
Individual Drug Response

scholarly journals Effectiveness of the Chronic Care Model in Type 2 Diabetes Management in a Community Health Service Center in China: A Group Randomized Experimental Study

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Jing-Xia Kong ◽  
Lin Zhu ◽  
Hong-Mei Wang ◽  
Ying Li ◽  
An-Ying Guo ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Type 2 Diabetes ◽  
Health Behaviors ◽  
Chronic Care Model ◽  
Chronic Care ◽  
Intervention Group ◽  
Care Model ◽  
Model Based

Objective. The Chronic Care Model, based on core elements of team-centered care in chronic diseases, has widely been accepted. This study was aimed at evaluating the effectiveness of the Chronic Care Model in type 2 diabetes management. Methods. A group randomized experimental study was conducted. Twelve communities of the Zhaohui Community Health Service Center in Hangzhou, China, were randomly assigned into an intervention group (n=6) receiving the Chronic Care Model-based intervention and a control group (n=6) receiving conventional care. A total of three hundred patients, twenty-five for each community, aged ≥18 years with type 2 diabetes for at least 1-year duration, were recruited. Data of health behaviors, clinical outcomes, and health-related quality of life (Short-Form 36-item questionnaire) were collected before and after a 9-month intervention and analyzed using descriptive statistics, t-test, chi-square test, binary logistic regression, and linear mixed regression. A total of 258 patients (134 in intervention and 124 in control) who completed the baseline and follow-up evaluations and the entire intervention were included in the final analyses. Results. Health behaviors such as drinking habit (OR=0.07, 95% CI: 0.01, 0.75), physical activity (OR=2.92, 95% CI: 1.18, 7.25), and diet habit (OR=4.30, 95% CI: 1.49, 12.43) were improved. The intervention group had a remarkable reduction in glycated hemoglobin (from 7.17% to 6.60%, P<0.001). The quality of life score changes of the role limitation due to physical problems (mean=9.97, 95% CI: 3.33, 16.60), social functioning (mean=6.50, 95% CI: 2.37, 10.64), role limitation due to emotional problems (mean=8.06, 95% CI: 2.15, 13.96), and physical component summary score (mean=3.31, 95% CI: 1.22, 5.39) were improved in the intervention group compared to the control group. Conclusion. The Chronic Care Model-based intervention helped improve some health behaviors, clinical outcomes, and quality of life of type 2 diabetes patients in China in a short term.

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