Last data update: Aug 15, 2025. (Total: 49733 publications since 2009)
| Records 1-2 (of 2 Records) |
| Query Trace: Miller RG[original query] |
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| A New Simulation Model to Estimate the Long-term Health and Cost Outcomes of Interventions for People With Type 1 Diabetes
Barbosa C , Hoerger TJ , Mack NA , Bobashev GV , Neuwahl S , Hilscher R , Orchard T , Costacou T , Miller RG , D'Agostino R , Zhang P . Diabetes Care 2025 OBJECTIVE: To develop a U.S.-based microsimulation model for assessing the cost-effectiveness of interventions to manage type 1 diabetes. RESEARCH DESIGN AND METHODS: We developed risk equations for 14 diabetes-related complications and mortality, 12 risk factor progression equations, and one equation for utilities associated with 14 complications using data from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) studies and the Epidemiology of Diabetes Complications (EDC) study. We integrated all equations into a simulation model. We conducted internal and external validation and demonstrated the utility of the model using a real-world example. Main model-generated outcomes included cumulative incidence of diabetes-related complications, life years, quality-adjusted life years, medical costs, and incremental cost-effectiveness ratios. RESULTS: The model generates long-term clinical and economic outcomes from changes in risk factors of type 1 diabetes complications. Internal validation comparing modeled outcomes to observed data used to develop the model yielded good prediction accuracy, with mean absolute percentage error across all complications of 9% and correlation of cumulative failure rates above 0.9. External validation results were mixed, with occurrence of slight under- or overprediction across complications and studies. We illustrated the model with a case study estimating the effects of expanding the use of an insulin pump with continuous glucose monitoring to all people with type 1 diabetes. CONCLUSIONS: Our new comprehensive type 1 diabetes simulation model can generate valid and accurate results for assessing the long-term cost-effectiveness of interventions to manage type 1 diabetes in the U.S. |
| Antivibration gloves: effects on vascular and sensorineural function, an animal model
Krajnak K , Waugh S , Johnson C , Miller RG , Welcome D , Xu X , Warren C , Sarkisian S , Andrew M , Dong RG . J Toxicol Environ Health A 2015 78 (9) 571-82 Anti-vibration gloves have been used to block the transmission of vibration from powered hand tools to the user, and to protect users from the negative health consequences associated with exposure to vibration. However, there are conflicting reports as to the efficacy of gloves in protecting workers. The goal of this study was to use a characterized animal model of vibration-induced peripheral vascular and nerve injury to determine whether antivibration materials reduced or inhibited the effects of vibration on these physiological symptoms. Rats were exposed to 4 h of tail vibration at 125 Hz with an acceleration 49 m/s(2). The platform was either bare or covered with antivibrating glove material. Rats were tested for tactile sensitivity to applied pressure before and after vibration exposure. One day following the exposure, ventral tail arteries were assessed for sensitivity to vasodilating and vasoconstricting factors and nerves were examined histologically for early indicators of edema and inflammation. Ventral tail artery responses to an alpha2C-adrenoreceptor agonist were enhanced in arteries from vibration-exposed rats compared to controls, regardless of whether antivibration materials were used or not. Rats exposed to vibration were also less sensitive to pressure after exposure. These findings are consistent with experimental findings in humans suggesting that antivibration gloves may not provide protection against the adverse health consequences of vibration exposure in all conditions. Additional studies need to be done examining newer antivibration materials. |
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