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( Roberto Negrín ),( Jaime Duboy ),( Magaly Iñiguez ),( Nicolás O. Reyes ),( Maximiliano Barahona ),( Gonzalo Ferrer ),( Carlos Infante ),( Nicolás Jabes ) 대한슬관절학회 2021 대한슬관절학회지 Vol.33 No.-
Background: The use of unicompartmental knee arthroplasty (UKA) has increased and new technologies have been developed to improve patient survival and satisfaction, soft tissue balance, alignment, and component size. Robot-assisted systems offer an increase in surgical precision and accuracy. The purpose of this study is to evaluate the precision of component position using five radiological parameters in conventional and robotic-assisted medial UKA using the NAVIO system. Methods: A cohort study was designed for patients who underwent medial UKA between April 2017 and March 2019 in a single center. Patients were allocated in the conventional (UKA-C) or robotic-assisted (UKA-R) group. The variables analyzed were age, gender, affected knee side, length of hospital stay, surgical time, and radiological measurements such as anatomical medial distal femoral angle (aMDFA), anatomical medial proximal tibial angle (aMPTA), tibial slope, the sagittal femoral angle, and the component size. A target was defined for each measurement, and a successful UKA was defined if at least four radiological measures were on target after surgery. Also, patients’ reported outcomes were evaluated using the Oxford Knee Score (OKS) and a numeric rating scale (NRS) for pain. Results: Thirty-four patients were included, 18 of them underwent UKA-R. The success rate for UKA in the UKA-R group was 87%; meanwhile, in the UKA-C group this was 28%, this difference was significant and powered (Fisher’s exact test, p = 0.001; 1 - β = 0.95). Also, a 5-point difference in favor of the UKA-R group in the median OKS (p = 0.01), and a significantly lower median NRS for pain (p < 0.000) were found after surgery. Conclusions: UKA-R achieved more precision in the radiological parameters’ measure in this study. Also, UKA-R has a trend towards a better OKS and a lower NRS for pain at short-term follow-up.
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Desiree López,Michelle Torres,Jammy Vélez,Jhensen Grullon,Edwin Negrón,Cynthia M. Pérez,Cristina Palacios 대한의료정보학회 2017 Healthcare Informatics Research Vol.23 No.1
Objectives: This study developed a smartphone nutritional application (app) for making smart and healthy choices when purchasing food in grocery stores and tested its feasibility, usability, satisfaction and acceptability. Methods: “MyNutriCart” was developed following the ADDIE (analysis, design, development, implementation, and evaluation) model. The goals of the app were to improve food selection when purchasing foods in the grocery stores based on a pre-defined budget, to improve dietary patterns based on the Dietary Guidelines for Americans, and to improve weight status. It was evaluated within a pilot randomized trial using a convenient sample of 26 overweight or obese adults aged 21–45 years for 8 weeks. Results: The developed app provided a grocery list of healthy foods to meet the individual requirements of all family members within a budget following the recommendations of the Dietary Guidelines for Americans. The average use of the app was 75% on each purchase and only 37% of the recommended products were purchased. The main reasons for not purchasing the recommended items were that participants did not like these (28.5%) and that the item was unavailable in the supermarket (24.3%). Over 50% of participants considered the app as feasible, usable, satisfactory, and acceptable (p < 0.05). Conclusions: “MyNutriCart” is the first available app for making smart and healthy choices when purchasing food in grocery stores. This app could be used as a tool to translate recommendations into a practical grocery list that meet the needs of a family within a budget.
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