The Experts below are selected from a list of 129 Experts worldwide ranked by ideXlab platform

Vahid Hosseini - One of the best experts on this subject based on the ideXlab platform.

  • Algorithm and Related Application for Smart Wearable Devices to Reduce the Risk of Death and Brain Damage in Diabetic Coma
    Journal of diabetes science and technology, 2016
    Co-Authors: Vahid Hosseini
    Abstract:

    Diabetes is an epidemic disease of the 21st century and is growing globally. Although, final diabetes treatments and cure are still on research phase, related complications of diabetes endanger life of Diabetic patients. Diabetic Coma which happens with extreme high or low blood glucose is one of the risk factor for Diabetic patients and if it remains unattended will lead to patient death or permanent brain damage. To reduce the risk of such deaths or damages, a novel algorithm for wearable devices application, especially for smart watches are proposed. Such application can inform the patients relatives or emergency centers, if the person falls in Coma or irresponsive condition based on readouts from smart watches sensors including mobility, heart rate and skin moisture. However; such an application is not a final solution to detect all types of Coma, but it potentially could save lives of many patients, if widely used among the Diabetic patients around the world.Comment: 4 pages, 1 figur

  • algorithm and related application for smart wearable devices to reduce the risk of death and brain damage in Diabetic Coma
    arXiv: Human-Computer Interaction, 2015
    Co-Authors: Vahid Hosseini
    Abstract:

    Diabetes is an epidemic disease of the 21st century and is growing globally. Although, final diabetes treatments and cure are still on research phase, related complications of diabetes endanger life of Diabetic patients. Diabetic Coma which happens with extreme high or low blood glucose is one of the risk factor for Diabetic patients and if it remains unattended will lead to patient death or permanent brain damage. To reduce the risk of such deaths or damages, a novel algorithm for wearable devices application, especially for smart watches are proposed. Such application can inform the patients relatives or emergency centers, if the person falls in Coma or irresponsive condition based on readouts from smart watches sensors including mobility, heart rate and skin moisture. However; such an application is not a final solution to detect all types of Coma, but it potentially could save lives of many patients, if widely used among the Diabetic patients around the world.

Peter D Ottosen - One of the best experts on this subject based on the ideXlab platform.

  • The histological demonstration of lipids in the proximal renal tubules of patients with Diabetic Coma.
    Forensic science medicine and pathology, 2006
    Co-Authors: Jorgen Lange Thomsen, Ingrid Bayer Kristensen, Peter D Ottosen
    Abstract:

    The Armanni-Ebstein phenomenon is a vacuolization of the cells of the proximal kidney tubules in Diabetic Coma. It has been believed to represent glycogen. In the present examination of 14 cases of Diabetic Coma, high contents of lipids, probably triglycerides, were demonstrated in the vacuoles by histological staining. Only weak positive reactions were found in Diabetic controls. In both alcoholic and nonalcoholic-nonDiabetics, no lipid was found. The sensivity was very high, but it was difficult from the present material to ascertain the level of specificity. The authors suggest the term fatty kidney in Diabetics.

  • accumulation of triglycerides in the proximal tubule of the kidney in Diabetic Coma
    Pathology, 2003
    Co-Authors: Henning Nielsen, Jorgen Lange Thomsen, Ingrid B Kristensen, Peter D Ottosen
    Abstract:

    Summary Aims The present study was initiated by a very recent histochemical observation of lipid accumulation in the renal cortex of a woman who died in a Diabetic Coma. Two older reports of lipid accumulation in the kidneys of patients who died, most likely in a state of non-regulated diabetes, supported this observation. We have examined whether lipid accumulation in the renal cortex is characteristic of Diabetic Coma and, if so, which type of lipid accumulates. Methods Three groups were studied. Ten subjects who died in a Diabetic Coma, eight Diabetics who died of known causes unrelated to diabetes, and seven normal control subjects without any diagnosed diabetes who died of known causes. All were subjected to histological examination for lipid accumulation in the renal cortex. Detailed analysis of cortex lipids was performed for two of the subjects who died in a Diabetic Coma and all Diabetic controls as well as non-Diabetic control subjects. Results All subjects who died in a Diabetic Coma showed vacuolar lesions staining strongly for lipid in the proximal tubules. Neither normal controls nor non-Coma Diabetics showed these lesions. Compared with normal controls, renal cortex lipid was about tripled in the two analysed Diabetic Coma subjects due to 60–100-fold increases of triglycerides. The non-Coma Diabetics did not differ from the other controls with respect to triglycerides or other types of lipid, except that cholesteryl esters were elevated, though still a quantitatively minor component. Conclusion Our findings strongly indicate that vacuolar lesions in the proximal tubules are characteristic of Diabetic Coma and that they are caused by accumulated triglycer-ides. Therefore, histological examination of renal cortex using a lipid stain may be a useful forensic tool in establishing Diabetic Coma as the cause of death.

Stephen R. Benoit - One of the best experts on this subject based on the ideXlab platform.

  • 1489-P: Racial/Ethnic Disparities in Deaths Due to Diabetes, Diabetes Ketoacidosis, and Diabetic Coma among Those Aged 1-44 Years: 1999-2017, United States
    Diabetes, 2020
    Co-Authors: Sharon Shaydah, Giuseppina Imperatore, Carla Mercado, Kai Mckeever Bullard, Stephen R. Benoit
    Abstract:

    Although previous studies have reported disparities in diabetes mortality by race/ethnicity, little is known about deaths due to diabetes, diabetes ketoacidosis (DKA) or Diabetic Coma by race/ethnicity among the younger population in the U.S. We used National Vital Statistics System data for individuals aged 1-44 years from 1999 to 2017 filed in all 50 states and the District of Columbia obtained from CDC Wonder (wonder.cdc.gov). Diabetes-related deaths were based on any listed ICD-10 codes E10-E14. DKA or Diabetic Coma deaths were based on any listed ICD-10 codes E10-E14 with X.1 or X.0. Race/ethnicity was reported on death certificates and categorized as Hispanic, non-Hispanic (NH) Asian/Pacific Islander (API), NH black (B), or NH white (W). Results were age standardized to the 2000 U.S. population by 10 year age groups. In 2013-2017, DM-related deaths were lowest among NH APIs (1.4, 95% CI 1.3, 1.5) followed by Hispanics (2.8, 95% CI 2.5, 2.7) and NHWs (3.2, 95% CI 3.0, 3.2), and highest among NHBs (7.7, 95% CI 7.5, 7.8) (Figure). Diabetes-related death rates increased for all groups from 1999-2002 to 2013-2017 (p Disclosure S. Shaydah: None. G. Imperatore: None. C. Mercado: None. K.M. Bullard: None. S.R. Benoit: None.

  • 1489 p racial ethnic disparities in deaths due to diabetes diabetes ketoacidosis and Diabetic Coma among those aged 1 44 years 1999 2017 united states
    Diabetes, 2020
    Co-Authors: Sharon Shaydah, Giuseppina Imperatore, Carla Mercado, Kai Mckeever Bullard, Stephen R. Benoit
    Abstract:

    Although previous studies have reported disparities in diabetes mortality by race/ethnicity, little is known about deaths due to diabetes, diabetes ketoacidosis (DKA) or Diabetic Coma by race/ethnicity among the younger population in the U.S. We used National Vital Statistics System data for individuals aged 1-44 years from 1999 to 2017 filed in all 50 states and the District of Columbia obtained from CDC Wonder (wonder.cdc.gov). Diabetes-related deaths were based on any listed ICD-10 codes E10-E14. DKA or Diabetic Coma deaths were based on any listed ICD-10 codes E10-E14 with X.1 or X.0. Race/ethnicity was reported on death certificates and categorized as Hispanic, non-Hispanic (NH) Asian/Pacific Islander (API), NH black (B), or NH white (W). Results were age standardized to the 2000 U.S. population by 10 year age groups. In 2013-2017, DM-related deaths were lowest among NH APIs (1.4, 95% CI 1.3, 1.5) followed by Hispanics (2.8, 95% CI 2.5, 2.7) and NHWs (3.2, 95% CI 3.0, 3.2), and highest among NHBs (7.7, 95% CI 7.5, 7.8) (Figure). Diabetes-related death rates increased for all groups from 1999-2002 to 2013-2017 (p Disclosure S. Shaydah: None. G. Imperatore: None. C. Mercado: None. K.M. Bullard: None. S.R. Benoit: None.

Jungwoo Sohn - One of the best experts on this subject based on the ideXlab platform.

  • Short-term Effect of Ambient Air Pollution on Emergency Department Visits for Diabetic Coma in Seoul, Korea
    Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2018
    Co-Authors: Hyunmee Kim, Woojin Kim, Jee Eun Choi, Changsoo Kim, Jungwoo Sohn
    Abstract:

    A positive association between air pollution and both the incidence and prevalence of diabetes mellitus (DM) has been reported in some epidemiologic and animal studies, but little research has evaluated the relationship between air pollution and Diabetic Coma. Diabetic Coma is an acute complication of DM caused by Diabetic ketoacidosis or hyperosmolar hyperglycemic state, which is characterized by extreme hyperglycemia accompanied by Coma. We conducted a time-series study with a generalized additive model using a distributed-lag non-linear model to assess the association between ambient air pollution (particulate matter less than 10 μm in aerodynamic diameter, nitrogen dioxide [NO2], sulfur dioxide, carbon monoxide, and ozone) and emergency department (ED) visits for DM with Coma in Seoul, Korea from 2005 to 2009. The ED data and medical records from the 3 years previous to each Diabetic Coma event were obtained from the Health Insurance Review and Assessment Service to examine the relationship with air pollutants. Overall, the adjusted relative risks (RRs) for an interquartile range (IQR) increment of NO2 was statistically significant at lag 1 (RR, 1.125; 95% confidence interval [CI], 1.039 to 1.219) in a single-lag model and both lag 0-1 (RR, 1.120; 95% CI, 1.028 to 1.219) and lag 0-3 (RR, 1.092; 95% CI, 1.005 to 1.186) in a cumulative-lag model. In a subgroup analysis, significant positive RRs were found for females for per-IQR increments of NO2 at cumulative lag 0-3 (RR, 1.149; 95% CI, 1.022 to 1.291). The results of our study suggest that ambient air pollution, specifically NO2, is associated with ED visits for Diabetic Coma.

  • short term effect of ambient air pollution on emergency department visits for Diabetic Coma in seoul korea
    Journal of Preventive Medicine and Public Health, 2018
    Co-Authors: Hyunmee Kim, Woojin Kim, Jee Eun Choi, Changsoo Kim, Jungwoo Sohn
    Abstract:

    Objectives A positive association between air pollution and both the incidence and prevalence of diabetes mellitus (DM) has been reported in some epidemiologic and animal studies, but little research has evaluated the relationship between air pollution and Diabetic Coma. Diabetic Coma is an acute complication of DM caused by Diabetic ketoacidosis or hyperosmolar hyperglycemic state, which is characterized by extreme hyperglycemia accompanied by Coma. We conducted a time-series study with a generalized additive model using a distributed-lag non-linear model to assess the association between ambient air pollution (particulate matter less than 10 μm in aerodynamic diameter, nitrogen dioxide [NO2], sulfur dioxide, carbon monoxide, and ozone) and emergency department (ED) visits for DM with Coma in Seoul, Korea from 2005 to 2009. Methods The ED data and medical records from the 3 years previous to each Diabetic Coma event were obtained from the Health Insurance Review and Assessment Service to examine the relationship with air pollutants. Results Overall, the adjusted relative risks (RRs) for an interquartile range (IQR) increment of NO2 was statistically significant at lag 1 (RR, 1.125; 95% confidence interval [CI], 1.039 to 1.219) in a single-lag model and both lag 0-1 (RR, 1.120; 95% CI, 1.028 to 1.219) and lag 0-3 (RR, 1.092; 95% CI, 1.005 to 1.186) in a cumulative-lag model. In a subgroup analysis, significant positive RRs were found for females for per-IQR increments of NO2 at cumulative lag 0-3 (RR, 1.149; 95% CI, 1.022 to 1.291). Conclusions The results of our study suggest that ambient air pollution, specifically NO2, is associated with ED visits for Diabetic Coma.

Jorgen Lange Thomsen - One of the best experts on this subject based on the ideXlab platform.

  • The histological demonstration of lipids in the proximal renal tubules of patients with Diabetic Coma.
    Forensic science medicine and pathology, 2006
    Co-Authors: Jorgen Lange Thomsen, Ingrid Bayer Kristensen, Peter D Ottosen
    Abstract:

    The Armanni-Ebstein phenomenon is a vacuolization of the cells of the proximal kidney tubules in Diabetic Coma. It has been believed to represent glycogen. In the present examination of 14 cases of Diabetic Coma, high contents of lipids, probably triglycerides, were demonstrated in the vacuoles by histological staining. Only weak positive reactions were found in Diabetic controls. In both alcoholic and nonalcoholic-nonDiabetics, no lipid was found. The sensivity was very high, but it was difficult from the present material to ascertain the level of specificity. The authors suggest the term fatty kidney in Diabetics.

  • accumulation of triglycerides in the proximal tubule of the kidney in Diabetic Coma
    Pathology, 2003
    Co-Authors: Henning Nielsen, Jorgen Lange Thomsen, Ingrid B Kristensen, Peter D Ottosen
    Abstract:

    Summary Aims The present study was initiated by a very recent histochemical observation of lipid accumulation in the renal cortex of a woman who died in a Diabetic Coma. Two older reports of lipid accumulation in the kidneys of patients who died, most likely in a state of non-regulated diabetes, supported this observation. We have examined whether lipid accumulation in the renal cortex is characteristic of Diabetic Coma and, if so, which type of lipid accumulates. Methods Three groups were studied. Ten subjects who died in a Diabetic Coma, eight Diabetics who died of known causes unrelated to diabetes, and seven normal control subjects without any diagnosed diabetes who died of known causes. All were subjected to histological examination for lipid accumulation in the renal cortex. Detailed analysis of cortex lipids was performed for two of the subjects who died in a Diabetic Coma and all Diabetic controls as well as non-Diabetic control subjects. Results All subjects who died in a Diabetic Coma showed vacuolar lesions staining strongly for lipid in the proximal tubules. Neither normal controls nor non-Coma Diabetics showed these lesions. Compared with normal controls, renal cortex lipid was about tripled in the two analysed Diabetic Coma subjects due to 60–100-fold increases of triglycerides. The non-Coma Diabetics did not differ from the other controls with respect to triglycerides or other types of lipid, except that cholesteryl esters were elevated, though still a quantitatively minor component. Conclusion Our findings strongly indicate that vacuolar lesions in the proximal tubules are characteristic of Diabetic Coma and that they are caused by accumulated triglycer-ides. Therefore, histological examination of renal cortex using a lipid stain may be a useful forensic tool in establishing Diabetic Coma as the cause of death.

  • Lipids in the Proximal Tubules of the Kidney in Diabetic Coma
    The American journal of forensic medicine and pathology, 2000
    Co-Authors: Jorgen Lange Thomsen, Tine P. Hansen
    Abstract:

    Vacuolization of the renal tubular epithelial cells (the Armanni-Ebstein lesion) associated with Diabetic hyperglycemia is usually regarded as an accumulation of glycogen. In a case of death of Diabetic Coma, the vacuoles were stained strongly for lipids. This observation may have both clinical and therapeutic consequences, and may increase our knowledge of the metabolism in diabetes.