- Technology/Device
- Comparison of Laser and Conventional Lancing Devices for Blood Glucose Measurement Conformance and Patient Satisfaction in Diabetes Mellitus
-
Jung A Kim, Min Jeong Park, Eyun Song, Eun Roh, So Young Park, Da Young Lee, Jaeyoung Kim, Ji Hee Yu, Ji A Seo, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo, Nan Hee Kim
-
Diabetes Metab J. 2022;46(6):936-940. Published online March 30, 2022
-
DOI: https://doi.org/10.4093/dmj.2021.0293
-
-
6,368
View
-
274
Download
-
3
Web of Science
-
2
Crossref
-
Abstract
PDFPubReader ePub
- Self-monitoring of capillary blood glucose is important for controlling diabetes. Recently, a laser lancing device (LMT-1000) that can collect capillary blood without skin puncture was developed. We enrolled 150 patients with type 1 or 2 diabetes mellitus. Blood sampling was performed on the same finger on each hand using the LMT-1000 or a conventional lancet. The primary outcome was correlation between glucose values using the LMT-1000 and that using a lancet. And we compared the pain and satisfaction of the procedures. The capillary blood sampling success rates with the LMT-1000 and lancet were 99.3% and 100%, respectively. There was a positive correlation (r=0.974, P<0.001) between mean blood glucose levels in the LMT-1000 (175.8±63.0 mg/dL) and conventional lancet samples (172.5±63.6 mg/dL). LMT-1000 reduced puncture pain by 75.0% and increased satisfaction by 80.0% compared to a lancet. We demonstrated considerable consistency in blood glucose measurements between samples from the LMT-1000 and a lancet, but improved satisfaction and clinically significant pain reduction were observed with the LMT-1000 compared to those with a lancet.
-
Citations
Citations to this article as recorded by
- Comparison between a laser-lancing device and automatic incision lancet for capillary blood sampling from the heel of newborn infants: a randomized feasibility trial
Chul Kyu Yun, Eui Kyung Choi, Hyung Jin Kim, Jaeyoung Kim, Byung Cheol Park, Kyuhee Park, Byung Min Choi Journal of Perinatology.2024; 44(8): 1193. CrossRef - Comparison of laser and traditional lancing devices for capillary blood sampling in patients with diabetes mellitus and high bleeding risk
Min Jeong Park, Soon Young Hwang, Ahreum Jang, Soo Yeon Jang, Eyun Song, So Young Park, Da Young Lee, Jaeyoung Kim, Byung Cheol Park, Ji Hee Yu, Ji A Seo, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo, Nan Hee Kim Lasers in Medical Science.2024;[Epub] CrossRef
- Others
- Fasting Glucose Variability and the Risk of Dementia in Individuals with Diabetes: A Nationwide Cohort Study
-
Da Young Lee, Jaeyoung Kim, Sanghyun Park, So Young Park, Ji Hee Yu, Ji A Seo, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Kyungdo Han, Nan Hee Kim
-
Diabetes Metab J. 2022;46(6):923-935. Published online May 24, 2022
-
DOI: https://doi.org/10.4093/dmj.2021.0346
-
-
7,080
View
-
278
Download
-
11
Web of Science
-
12
Crossref
-
Abstract
PDFSupplementary MaterialPubReader ePub
- Background
We investigated whether fasting glucose (FG) variability could predict the risk of dementia.
Methods This cohort study analyzed data from Koreans with diabetes after at least three health examinations by the Korean National Health Insurance Corporation between 2005 and 2010, which included at least one examination between 2009 and 2010. A total of 769,554 individuals were included, excluding those aged <40 years and those with dementia. FG variability was measured using the variability independent of the mean (FG-VIM). The incidence of dementia was defined by the International Classification of Diseases 10th Revision codes and prescription of anti-dementia medication and was subdivided into Alzheimer’s disease (AD) and vascular dementia (VD).
Results During the 6.9-year follow-up, 54,837, 41,032, and 6,892 cases of all-cause dementia, AD, and VD, respectively, were identified. Cox proportional regression analyses showed that as the FG-VIM quartile increased, the risk of dementia serially increased after adjustment for metabolic factors, income status, and diabetes-related characteristics, including the mean FG. Participants in FG-VIM quartile 4 showed a 18%, 19%, and 17% higher risk for all-cause dementia, AD, and VD, respectively, than those in quartile 1; this particularly included non-obese patients with a longer duration of diabetes, high FG levels, dyslipidemia, and those taking glucose-lowering medications. Conversely, the baseline FG status and dementia showed a U-shaped association.
Conclusion Increased FG variability over 5 years can predict the risk of dementia in individuals with diabetes in Korea. This finding was more pronounced in patients with less favorable metabolic profiles.
-
Citations
Citations to this article as recorded by
- Fasting glucose variability and risk of dementia in Parkinson’s disease: a 9-year longitudinal follow-up study of a nationwide cohort
Sung Hoon Kang, Yunjin Choi, Su Jin Chung, Seok-Joo Moon, Chi Kyung Kim, Ji Hyun Kim, Kyungmi Oh, Joon Shik Yoon, Sang Won Seo, Geum Joon Cho, Seong-Beom Koh Frontiers in Aging Neuroscience.2024;[Epub] CrossRef - Effects of a Diabetic Microenvironment on Neurodegeneration: Special Focus on Neurological Cells
Vishal Chavda, Dhananjay Yadav, Snehal Patel, Minseok Song Brain Sciences.2024; 14(3): 284. CrossRef - The relationship between diabetes and the dementia risk: a meta-analysis
Fang Cao, Fushuang Yang, Jian Li, Wei Guo, Chongheng Zhang, Fa Gao, Xinxin Sun, Yi Zhou, Wenfeng Zhang Diabetology & Metabolic Syndrome.2024;[Epub] CrossRef - Effect of glucose variability on the mortality of adults aged 75 years and over during the first year of the COVID-19 pandemic
Miguel A. Salinero-Fort, F. Javier San Andrés-Rebollo, Juan Cárdenas-Valladolid, José Mostaza, Carlos Lahoz, Fernando Rodriguez-Artalejo, Paloma Gómez-Campelo, Pilar Vich-Pérez, Rodrigo Jiménez-García, José M. de-Miguel-Yanes, Javier Maroto-Rodriguez, Bel BMC Geriatrics.2024;[Epub] CrossRef - Association of remnant cholesterol with risk of dementia: a nationwide population-based cohort study in South Korea
Ji Hye Heo, Han Na Jung, Eun Roh, Kyung-do Han, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm The Lancet Healthy Longevity.2024; 5(8): e524. CrossRef - Glycated Hemoglobin A1c Time in Range and Dementia in Older Adults With Diabetes
Patricia C. Underwood, Libin Zhang, David C. Mohr, Julia C. Prentice, Richard E. Nelson, Andrew E. Budson, Paul R. Conlin JAMA Network Open.2024; 7(8): e2425354. CrossRef - Increased Risk of Alzheimer's Disease With Glycemic Variability: A Systematic Review and Meta-Analysis
Paul Nichol G Gonzales, Encarnita R Ampil, Joseree-Ann S Catindig-Dela Rosa, Steven G Villaraza, Ma. Lourdes C Joson Cureus.2024;[Epub] CrossRef - The Association of Glucose Variability and Dementia Incidence in Latinx Adults with Type 2 Diabetes: A Retrospective Study
Heather Cuevas, Elizabeth Muñoz, Divya Nagireddy, Jeeyeon Kim, Grace Ganucheau, Fathia Alomoush Clinical Nursing Research.2023; 32(2): 249. CrossRef - The effects of long-term cumulative HbA1c exposure on the development and onset time of dementia in the patients with type 2 diabetes mellitus: Hospital based retrospective study (2005–2021)
Sunyoung Cho, Choon Ok Kim, Bong-soo Cha, Eosu Kim, Chung Mo Nam, Min-Gul Kim, Min Soo Park Diabetes Research and Clinical Practice.2023; 201: 110721. CrossRef - Physiological Mechanisms Inherent to Diabetes Involved in the Development of Dementia: Alzheimer’s Disease
Himan Mohamed-Mohamed, Victoria García-Morales, Encarnación María Sánchez Lara, Anabel González-Acedo, Teresa Pardo-Moreno, María Isabel Tovar-Gálvez, Lucía Melguizo-Rodríguez, Juan José Ramos-Rodríguez Neurology International.2023; 15(4): 1253. CrossRef - Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee Scientific Reports.2023;[Epub] CrossRef - Early detection of Dementia in Type 2 Diabetes population: Predictive analytics using Machine learning approach (Preprint)
Phan Thanh Phuc, Phung-Anh Nguyen, Nam N. Nguyen, Min-Huei Hsu, Khanh NQ. Le, Quoc-Viet Tran, Chih-Wei Huang, Hsuan-Chia Yang, Cheng-Yu Chen, Thi Anh Hoa Le, Minh Khoi Le, Hoang Bac Nguyen, Christine Y. Lu, Jason C. Hsu Journal of Medical Internet Research.2023;[Epub] CrossRef
|