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1. Heterogeneity of glycaemic phenotypes in type 1 diabetes

Author

Fagherazzi, Guy, Aguayo, Gloria A., Zhang, Lu, Hanaire, Hélène, Picard, Sylvie, Sablone, Laura, Vergès, Bruno, Hamamouche, Naïma, Detournay, Bruno, Joubert, Michael, Delemer, Brigitte, Guilhem, Isabelle, Vambergue, Anne, Gourdy, Pierre, Hadjadj, Samy, Velayoudom, Fritz-Line, Guerci, Bruno, Larger, Etienne, Jeandidier, Nathalie, Gautier, Jean-François, Renard, Eric, Potier, Louis, Benhamou, Pierre-Yves, Sola, Agnès, Bordier, Lyse, Bismuth, Elise, Prévost, Gaëtan, Kessler, Laurence, Cosson, Emmanuel, and Riveline, Jean-Pierre

Published
2024
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2. A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings

Author

Klonoff, David C, Wang, Jing, Rodbard, David, Kohn, Michael A, Li, Chengdong, Liepmann, Dorian, Kerr, David, Ahn, David, Peters, Anne L, Umpierrez, Guillermo E, Seley, Jane Jeffrie, Xu, Nicole Y, Nguyen, Kevin T, Simonson, Gregg, Agus, Michael SD, Al-Sofiani, Mohammed E, Armaiz-Pena, Gustavo, Bailey, Timothy S, Basu, Ananda, Battelino, Tadej, Bekele, Sewagegn Yeshiwas, Benhamou, Pierre-Yves, Bequette, B Wayne, Blevins, Thomas, Breton, Marc D, Castle, Jessica R, Chase, James Geoffrey, Chen, Kong Y, Choudhary, Pratik, Clements, Mark A, Close, Kelly L, Cook, Curtiss B, Danne, Thomas, Doyle, Francis J, Drincic, Angela, Dungan, Kathleen M, Edelman, Steven V, Ejskjaer, Niels, Espinoza, Juan C, Fleming, G Alexander, Forlenza, Gregory P, Freckmann, Guido, Galindo, Rodolfo J, Gomez, Ana Maria, Gutow, Hanna A, Heinemann, Lutz, Hirsch, Irl B, Hoang, Thanh D, Hovorka, Roman, Jendle, Johan H, Ji, Linong, Joshi, Shashank R, Joubert, Michael, Koliwad, Suneil K, Lal, Rayhan A, Lansang, M Cecilia, Lee, Wei-An, Leelarathna, Lalantha, Leiter, Lawrence A, Lind, Marcus, Litchman, Michelle L, Mader, Julia K, Mahoney, Katherine M, Mankovsky, Boris, Masharani, Umesh, Mathioudakis, Nestoras N, Mayorov, Alexander, Messler, Jordan, Miller, Joshua D, Mohan, Viswanathan, Nichols, James H, Nørgaard, Kirsten, O’Neal, David N, Pasquel, Francisco J, Philis-Tsimikas, Athena, Pieber, Thomas, Phillip, Moshe, Polonsky, William H, Pop-Busui, Rodica, Rayman, Gerry, Rhee, Eun-Jung, Russell, Steven J, Shah, Viral N, Sherr, Jennifer L, Sode, Koji, Spanakis, Elias K, Wake, Deborah J, Waki, Kayo, Wallia, Amisha, Weinberg, Melissa E, Wolpert, Howard, Wright, Eugene E, Zilbermint, Mihail, and Kovatchev, Boris

Subjects
Biomedical and Clinical Sciences, Nutrition and Dietetics, Diabetes, Adult, Humans, Blood Glucose, Blood Glucose Self-Monitoring, Hypoglycemia, Hyperglycemia, Glucose, ambulatory glucose profile, composite metric, continuous glucose monitor, diabetes, glycemia risk index, hyperglycemia, hypoglycemia, time in range, Nutrition and dietetics
Abstract

BackgroundA composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data.MethodsWe assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low-glucose and low-glucose hypoglycemia; very high-glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation.ResultsThe analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals.ConclusionThe GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.

Published
2023

5. Actualisation de la prise de position des experts français sur l’insulinothérapie automatisée en boucle fermée

Author

Renard, Éric, Tubiana-Rufi, Nadia, Chaillous, Lucy, Bonnemaison, Élisabeth, Hanaire, Hélène, Bismuth, Élise, Joubert, Michael, Coutant, Régis, Schaepelynck, Pauline, Beltrand, Jacques, Reznik, Yves, Authier, Florence, Borot, Sophie, Brunot, Sophie, Calvez, Claire, Charpentier, Guillaume, Dalla-Vale, Fabienne, Delawoevre, Anne, Delemer, Brigitte, Desserprix, Agnès, Durain, Danielle, Fendri, Salha, Franc, Sylvia, Godot, Cécile, Gouet, Didier, Guenego, Agathe, Guerci, Bruno, Guilhem, Isabelle, Jeandidier, Nathalie, Lablanche, Sandrine, Le Tallec, Claire, Malwe, Mathilde, Meyer, Laurent, Morin, Carole, Penfornis, Alfred, Picard, Sylvie, Riveline, Jean-Pierre, Rossignol, Valérie, Smati, Sarra, Sola-Gazagnes, Agnès, Thivolet, Charles, Villard, Orianne, and Benhamou, Pierre Yves

Published
2024
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14. Empagliflozin mitigates metabolic dysfunction‐associated steatotic liver disease by reducing de novo lipogenesis in a mouse model of lipoatrophic diabetes.

Author

Smati, Sarra, Sotin, Thibaud, Deniel, Perrine, Ducheix, Simon, Joubert, Michael, Arnaud, Lucie, Hadjadj, Samy, Cariou, Bertrand, Le May, Cédric, and Prieur, Xavier

Subjects
SODIUM-glucose cotransporters, EMPAGLIFLOZIN, LABORATORY mice, LIVER diseases, SODIUM-glucose cotransporter 2 inhibitors, ANIMAL disease models
Abstract

A study published in the journal Diabetes, Obesity & Metabolism explores the effects of the drug empagliflozin on metabolic dysfunction-associated steatotic liver disease (MASLD) in a mouse model of lipoatrophic diabetes. The researchers found that empagliflozin prevented the development of MASLD in mice and reduced liver steatosis in older mice. The drug achieved these effects by reducing de novo lipogenesis, the process by which the liver produces new fat. The study suggests that empagliflozin could be a potential therapeutic option for managing MASLD associated with lipodystrophies. [Extracted from the article]

Published
2024
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16. Metformin use is associated with a reduced risk of mortality in patients with diabetes hospitalised for COVID-19

Author

Lalau, Jean-Daniel, Al-Salameh, Abdallah, Hadjadj, Samy, Goronflot, Thomas, Wiernsperger, Nicolas, Pichelin, Matthieu, Allix, Ingrid, Amadou, Coralie, Bourron, Olivier, Duriez, Thierry, Gautier, Jean-François, Dutour, Anne, Gonfroy, Céline, Gouet, Didier, Joubert, Michael, Julier, Ingrid, Larger, Etienne, Marchand, Lucien, Marre, Michel, Meyer, Laurent, Olivier, Frédérique, Prevost, Gaëtan, Quiniou, Pascale, Raffaitin-Cardin, Christelle, Roussel, Ronan, Saulnier, Pierre-Jean, Seret-Begue, Dominique, Thivolet, Charles, Vatier, Camille, Desailloud, Rachel, Wargny, Matthieu, Gourdy, Pierre, and Cariou, Bertrand

Published
2021
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18. 12-Month Real-Life Efficacy of the MiniMed 780G Advanced Closed-Loop System in Patients Living with Type 1 Diabetes: A French Observational, Retrospective, Multicentric Study.

Author

Lablanche, Sandrine, Delagenière, Johanna, Jalbert, Manon, Sonnet, Emmanuel, Benichou, Muriel, Arnold, Nathalie, Spiteri, Anne, Le Berre, Jean-Philippe, Renard, Eric, Chevalier, Nicolas, Borot, Sophie, Bonnemaison, Elisabeth, Coffin, Christine, Teissier, Marie-Pierre, Benhamou, Pierre Yves, Borel, Jean-Christian, Penfornis, Alfred, Joubert, Michael, and Kessler, Laurence

Published
2024
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22. Cardiovascular and renal diseases in type 2 diabetes patients: 5-year cumulative incidence of the first occurred manifestation and hospitalization cost: a cohort within the French SNDS nationwide claims database

Author

Blin, Patrick, primary, Joubert, Michael, additional, Jourdain, Patrick, additional, Zaoui, Philippe, additional, Guiard, Estelle, additional, Sakr, Dunia, additional, Dureau-Pournin, Caroline, additional, Bernard, Marie-Agnès, additional, Lassalle, Régis, additional, Thomas-Delecourt, Florence, additional, Bineau, Sébastien, additional, Moore, Nicholas, additional, and Droz-Perroteau, Cécile, additional

Published
2024
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24. Closed-loop insulin delivery in adults with type 1 diabetes in real-life conditions: a 12-week multicentre, open-label randomised controlled crossover trial

Author

Benhamou, Pierre-Yves, Franc, Sylvia, Reznik, Yves, Thivolet, Charles, Schaepelynck, Pauline, Renard, Eric, Guerci, Bruno, Chaillous, Lucy, Lukas-Croisier, Celine, Jeandidier, Nathalie, Hanaire, Helene, Borot, Sophie, Doron, Maeva, Jallon, Pierre, Xhaard, Ilham, Melki, Vincent, Meyer, Laurent, Delemer, Brigitte, Guillouche, Marie, Schoumacker-Ley, Laurene, Farret, Anne, Raccah, Denis, Lablanche, Sandrine, Joubert, Michael, Penfornis, Alfred, and Charpentier, Guillaume

Published
2019
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25. Cardiovascular and renal diseases in type 2 diabetes patients: 5-year cumulative incidence of the first occurred manifestation and hospitalization cost: a cohort within the French SNDS nationwide claims database

Author

Blin, Patrick, primary, Joubert, Michael, additional, Jourdain, Patrick, additional, Zaoui, Philippe, additional, Guiard, Estelle, additional, Sakr, Dunia, additional, Dureau-Pournin, Caroline, additional, Bernard, Marie-Agnès, additional, Lassalle, Régis, additional, Thomas-Delecourt, Florence, additional, Bineau, Sébastien, additional, Moore, Nicholas, additional, and Droz-Perroteau, Cécile, additional

Published
2023
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30. Safety and Efficacy of Sustained Automated Insulin Delivery Compared With Sensor and Pump Therapy in Adults With Type 1 Diabetes at High Risk for Hypoglycemia: A Randomized Controlled Trial.

Author

Renard, Eric, Joubert, Michael, Villard, Orianne, Dreves, Bleuenn, Reznik, Yves, Farret, Anne, Place, Jerome, Breton, Marc D., and Kovatchev, Boris P.

Subjects
*TYPE 1 diabetes, *HYPOGLYCEMIA, *RANDOMIZED controlled trials, *INSULIN, *INSULIN pumps
Abstract

OBJECTIVE: Assess the safety and efficacy of automated insulin delivery (AID) in adults with type 1 diabetes (T1D) at high risk for hypoglycemia. RESEARCH DESIGN AND METHODS: Participants were 72 adults with T1D who used an insulin pump with Clarke Hypoglycemia Perception Awareness scale score >3 and/or had severe hypoglycemia during the previous 6 months confirmed by time below range (TBR; defined as sensor glucose [SG] reading <70 mg/dL) of at least 5% during 2 weeks of blinded continuous glucose monitoring (CGM). Parallel-arm, randomized trial (2:1) of AID (Tandem t:slim ×2 with Control-IQ technology) versus CGM and pump therapy for 12 weeks. The primary outcome was TBR change from baseline. Secondary outcomes included time in target range (TIR; 70–180 mg/dL), time above range (TAR), mean SG reading, and time with glucose level <54 mg/dL. An optional 12-week extension with AID was offered to all participants. RESULTS: Compared with the sensor and pump (S&P), AID resulted in significant reduction of TBR by −3.7% (95% CI −4.8, −2.6), P < 0.001; an 8.6% increase in TIR (95% CI 5.2, 12.1), P < 0.001; and a −5.3% decrease in TAR (95% CI −87.7, −1.8), P = 0.004. Mean SG reading remained similar in the AID and S&P groups. During the 12-week extension, the effects of AID were sustained in the AID group and reproduced in the S&P group. Two severe hypoglycemic episodes occurred using AID. CONCLUSIONS: In adults with T1D at high risk for hypoglycemia, AID reduced the risk for hypoglycemia more than twofold, as quantified by TBR, while improving TIR and reducing hyperglycemia. Hence, AID is strongly recommended for this specific population. [ABSTRACT FROM AUTHOR]

Published
2023
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31. A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings.

Author

Li, Chengdong, Li, Chengdong, Liepmann, Dorian, Kerr, David, Ahn, David, Peters, Anne, Umpierrez, Guillermo, Seley, Jane, Xu, Nicole, Nguyen, Kevin, Simonson, Gregg, Agus, Michael, Al-Sofiani, Mohammed, Armaiz-Pena, Gustavo, Bailey, Timothy, Basu, Ananda, Battelino, Tadej, Bekele, Sewagegn, Benhamou, Pierre-Yves, Bequette, B, Blevins, Thomas, Breton, Marc, Castle, Jessica, Chase, James, Chen, Kong, Choudhary, Pratik, Clements, Mark, Close, Kelly, Cook, Curtiss, Danne, Thomas, Doyle, Francis, Drincic, Angela, Dungan, Kathleen, Edelman, Steven, Ejskjaer, Niels, Espinoza, Juan, Fleming, G, Forlenza, Gregory, Freckmann, Guido, Galindo, Rodolfo, Gomez, Ana, Gutow, Hanna, Heinemann, Lutz, Hirsch, Irl, Hoang, Thanh, Hovorka, Roman, Jendle, Johan, Ji, Linong, Joshi, Shashank, Joubert, Michael, Koliwad, Suneil, Lal, Rayhan, Lansang, M, Lee, Wei-An, Leelarathna, Lalantha, Leiter, Lawrence, Lind, Marcus, Litchman, Michelle, Mader, Julia, Mahoney, Katherine, Mankovsky, Boris, Masharani, Umesh, Mathioudakis, Nestoras, Mayorov, Alexander, Messler, Jordan, Miller, Joshua, Mohan, Viswanathan, Nichols, James, Nørgaard, Kirsten, ONeal, David, Pasquel, Francisco, Philis-Tsimikas, Athena, Pieber, Thomas, Phillip, Moshe, Polonsky, William, Pop-Busui, Rodica, Rayman, Gerry, Rhee, Eun-Jung, Russell, Steven, Shah, Viral, Sherr, Jennifer, Sode, Koji, Spanakis, Elias, Wake, Deborah, Waki, Kayo, Wallia, Amisha, Weinberg, Melissa, Wolpert, Howard, Wright, Eugene, Zilbermint, Mihail, Kovatchev, Boris, Klonoff, David, Wang, Jing, Rodbard, David, Kohn, Michael, Li, Chengdong, Li, Chengdong, Liepmann, Dorian, Kerr, David, Ahn, David, Peters, Anne, Umpierrez, Guillermo, Seley, Jane, Xu, Nicole, Nguyen, Kevin, Simonson, Gregg, Agus, Michael, Al-Sofiani, Mohammed, Armaiz-Pena, Gustavo, Bailey, Timothy, Basu, Ananda, Battelino, Tadej, Bekele, Sewagegn, Benhamou, Pierre-Yves, Bequette, B, Blevins, Thomas, Breton, Marc, Castle, Jessica, Chase, James, Chen, Kong, Choudhary, Pratik, Clements, Mark, Close, Kelly, Cook, Curtiss, Danne, Thomas, Doyle, Francis, Drincic, Angela, Dungan, Kathleen, Edelman, Steven, Ejskjaer, Niels, Espinoza, Juan, Fleming, G, Forlenza, Gregory, Freckmann, Guido, Galindo, Rodolfo, Gomez, Ana, Gutow, Hanna, Heinemann, Lutz, Hirsch, Irl, Hoang, Thanh, Hovorka, Roman, Jendle, Johan, Ji, Linong, Joshi, Shashank, Joubert, Michael, Koliwad, Suneil, Lal, Rayhan, Lansang, M, Lee, Wei-An, Leelarathna, Lalantha, Leiter, Lawrence, Lind, Marcus, Litchman, Michelle, Mader, Julia, Mahoney, Katherine, Mankovsky, Boris, Masharani, Umesh, Mathioudakis, Nestoras, Mayorov, Alexander, Messler, Jordan, Miller, Joshua, Mohan, Viswanathan, Nichols, James, Nørgaard, Kirsten, ONeal, David, Pasquel, Francisco, Philis-Tsimikas, Athena, Pieber, Thomas, Phillip, Moshe, Polonsky, William, Pop-Busui, Rodica, Rayman, Gerry, Rhee, Eun-Jung, Russell, Steven, Shah, Viral, Sherr, Jennifer, Sode, Koji, Spanakis, Elias, Wake, Deborah, Waki, Kayo, Wallia, Amisha, Weinberg, Melissa, Wolpert, Howard, Wright, Eugene, Zilbermint, Mihail, Kovatchev, Boris, Klonoff, David, Wang, Jing, Rodbard, David, and Kohn, Michael

Abstract

BACKGROUND: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. METHODS: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low-glucose and low-glucose hypoglycemia; very high-glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. RESULTS: The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. CONCLUSION: The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clini

Published
2023

32. A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings

Author

Klonoff, David C., Wang, Jing, Rodbard, David, Kohn, Michael A., Li, Chengdong, Liepmann, Dorian, Kerr, David, Ahn, David, Peters, Anne L., Umpierrez, Guillermo E., Seley, Jane Jeffrie, Xu, Nicole Y., Nguyen, Kevin T., Simonson, Gregg, Agus, Michael S.D., Al-Sofiani, Mohammed E., Armaiz-Pena, Gustavo, Bailey, Timothy S., Basu, Ananda, Battelino, Tadej, Bekele, Sewagegn Yeshiwas, Benhamou, Pierre Yves, Bequette, B. Wayne, Blevins, Thomas, Breton, Marc D., Castle, Jessica R., Chase, James Geoffrey, Chen, Kong Y., Choudhary, Pratik, Clements, Mark A., Close, Kelly L., Cook, Curtiss B., Danne, Thomas, Doyle, Francis J., Drincic, Angela, Dungan, Kathleen M., Edelman, Steven V., Ejskjaer, Niels, Espinoza, Juan C., Fleming, G. Alexander, Forlenza, Gregory P., Freckmann, Guido, Galindo, Rodolfo J., Gomez, Ana Maria, Gutow, Hanna A., Heinemann, Lutz, Hirsch, Irl B., Hoang, Thanh D., Hovorka, Roman, Jendle, Johan H., Ji, Linong, Joshi, Shashank R., Joubert, Michael, Koliwad, Suneil K., Lal, Rayhan A., Lansang, M. Cecilia, Lee, Wei An, Leelarathna, Lalantha, Leiter, Lawrence A., Lind, Marcus, Litchman, Michelle L., Mader, Julia K., Mahoney, Katherine M., Mankovsky, Boris, Masharani, Umesh, Mathioudakis, Nestoras N., Mayorov, Alexander, Messler, Jordan, Miller, Joshua D., Mohan, Viswanathan, Nichols, James H., Nørgaard, Kirsten, O’Neal, David N., Pasquel, Francisco J., Philis-Tsimikas, Athena, Pieber, Thomas, Phillip, Moshe, Polonsky, William H., Pop-Busui, Rodica, Rayman, Gerry, Rhee, Eun Jung, Russell, Steven J., Shah, Viral N., Sherr, Jennifer L., Sode, Koji, Spanakis, Elias K., Wake, Deborah J., Waki, Kayo, Wallia, Amisha, Weinberg, Melissa E., Wolpert, Howard, Wright, Eugene E., Zilbermint, Mihail, Kovatchev, Boris, Klonoff, David C., Wang, Jing, Rodbard, David, Kohn, Michael A., Li, Chengdong, Liepmann, Dorian, Kerr, David, Ahn, David, Peters, Anne L., Umpierrez, Guillermo E., Seley, Jane Jeffrie, Xu, Nicole Y., Nguyen, Kevin T., Simonson, Gregg, Agus, Michael S.D., Al-Sofiani, Mohammed E., Armaiz-Pena, Gustavo, Bailey, Timothy S., Basu, Ananda, Battelino, Tadej, Bekele, Sewagegn Yeshiwas, Benhamou, Pierre Yves, Bequette, B. Wayne, Blevins, Thomas, Breton, Marc D., Castle, Jessica R., Chase, James Geoffrey, Chen, Kong Y., Choudhary, Pratik, Clements, Mark A., Close, Kelly L., Cook, Curtiss B., Danne, Thomas, Doyle, Francis J., Drincic, Angela, Dungan, Kathleen M., Edelman, Steven V., Ejskjaer, Niels, Espinoza, Juan C., Fleming, G. Alexander, Forlenza, Gregory P., Freckmann, Guido, Galindo, Rodolfo J., Gomez, Ana Maria, Gutow, Hanna A., Heinemann, Lutz, Hirsch, Irl B., Hoang, Thanh D., Hovorka, Roman, Jendle, Johan H., Ji, Linong, Joshi, Shashank R., Joubert, Michael, Koliwad, Suneil K., Lal, Rayhan A., Lansang, M. Cecilia, Lee, Wei An, Leelarathna, Lalantha, Leiter, Lawrence A., Lind, Marcus, Litchman, Michelle L., Mader, Julia K., Mahoney, Katherine M., Mankovsky, Boris, Masharani, Umesh, Mathioudakis, Nestoras N., Mayorov, Alexander, Messler, Jordan, Miller, Joshua D., Mohan, Viswanathan, Nichols, James H., Nørgaard, Kirsten, O’Neal, David N., Pasquel, Francisco J., Philis-Tsimikas, Athena, Pieber, Thomas, Phillip, Moshe, Polonsky, William H., Pop-Busui, Rodica, Rayman, Gerry, Rhee, Eun Jung, Russell, Steven J., Shah, Viral N., Sherr, Jennifer L., Sode, Koji, Spanakis, Elias K., Wake, Deborah J., Waki, Kayo, Wallia, Amisha, Weinberg, Melissa E., Wolpert, Howard, Wright, Eugene E., Zilbermint, Mihail, and Kovatchev, Boris

Abstract

Background: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. Methods: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low–glucose and low-glucose hypoglycemia; very high–glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. Results: The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. Conclusion: The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by cl

Published
2023

36. A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings

Author

Klonoff, David C., primary, Wang, Jing, additional, Rodbard, David, additional, Kohn, Michael A., additional, Li, Chengdong, additional, Liepmann, Dorian, additional, Kerr, David, additional, Ahn, David, additional, Peters, Anne L., additional, Umpierrez, Guillermo E., additional, Seley, Jane Jeffrie, additional, Xu, Nicole Y., additional, Nguyen, Kevin T., additional, Simonson, Gregg, additional, Agus, Michael S. D., additional, Al-Sofiani, Mohammed E., additional, Armaiz-Pena, Gustavo, additional, Bailey, Timothy S., additional, Basu, Ananda, additional, Battelino, Tadej, additional, Bekele, Sewagegn Yeshiwas, additional, Benhamou, Pierre-Yves, additional, Bequette, B. Wayne, additional, Blevins, Thomas, additional, Breton, Marc D., additional, Castle, Jessica R., additional, Chase, James Geoffrey, additional, Chen, Kong Y., additional, Choudhary, Pratik, additional, Clements, Mark A., additional, Close, Kelly L., additional, Cook, Curtiss B., additional, Danne, Thomas, additional, Doyle, Francis J., additional, Drincic, Angela, additional, Dungan, Kathleen M., additional, Edelman, Steven V., additional, Ejskjaer, Niels, additional, Espinoza, Juan C., additional, Fleming, G. Alexander, additional, Forlenza, Gregory P., additional, Freckmann, Guido, additional, Galindo, Rodolfo J., additional, Gomez, Ana Maria, additional, Gutow, Hanna A., additional, Heinemann, Lutz, additional, Hirsch, Irl B., additional, Hoang, Thanh D., additional, Hovorka, Roman, additional, Jendle, Johan H., additional, Ji, Linong, additional, Joshi, Shashank R., additional, Joubert, Michael, additional, Koliwad, Suneil K., additional, Lal, Rayhan A., additional, Lansang, M. Cecilia, additional, Lee, Wei-An (Andy), additional, Leelarathna, Lalantha, additional, Leiter, Lawrence A., additional, Lind, Marcus, additional, Litchman, Michelle L., additional, Mader, Julia K., additional, Mahoney, Katherine M., additional, Mankovsky, Boris, additional, Masharani, Umesh, additional, Mathioudakis, Nestoras N., additional, Mayorov, Alexander, additional, Messler, Jordan, additional, Miller, Joshua D., additional, Mohan, Viswanathan, additional, Nichols, James H., additional, Nørgaard, Kirsten, additional, O’Neal, David N., additional, Pasquel, Francisco J., additional, Philis-Tsimikas, Athena, additional, Pieber, Thomas, additional, Phillip, Moshe, additional, Polonsky, William H., additional, Pop-Busui, Rodica, additional, Rayman, Gerry, additional, Rhee, Eun-Jung, additional, Russell, Steven J., additional, Shah, Viral N., additional, Sherr, Jennifer L., additional, Sode, Koji, additional, Spanakis, Elias K., additional, Wake, Deborah J., additional, Waki, Kayo, additional, Wallia, Amisha, additional, Weinberg, Melissa E., additional, Wolpert, Howard, additional, Wright, Eugene E., additional, Zilbermint, Mihail, additional, and Kovatchev, Boris, additional

Published
2022
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37. sj-pdf-1-dst-10.1177_19322968221085273 – Supplemental material for A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings

Author

Klonoff, David C., Wang, Jing, Rodbard, David, Kohn, Michael A., Li, Chengdong, Liepmann, Dorian, Kerr, David, Ahn, David, Peters, Anne L., Umpierrez, Guillermo E., Seley, Jane Jeffrie, Xu, Nicole Y., Nguyen, Kevin T., Simonson, Gregg, Agus, Michael S. D., Al-Sofiani, Mohammed E., Armaiz-Pena, Gustavo, Bailey, Timothy S., Basu, Ananda, Battelino, Tadej, Bekele, Sewagegn Yeshiwas, Benhamou, Pierre-Yves, Bequette, B. Wayne, Blevins, Thomas, Breton, Marc D., Castle, Jessica R., Chase, James Geoffrey, Chen, Kong Y., Choudhary, Pratik, Clements, Mark A., Close, Kelly L., Cook, Curtiss B., Danne, Thomas, Doyle, Francis J., Drincic, Angela, Dungan, Kathleen M., Edelman, Steven V., Ejskjaer, Niels, Espinoza, Juan C., Fleming, G. Alexander, Forlenza, Gregory P., Freckmann, Guido, Galindo, Rodolfo J., Gomez, Ana Maria, Gutow, Hanna A., Heinemann, Lutz, Hirsch, Irl B., Hoang, Thanh D., Hovorka, Roman, Jendle, Johan H., Ji, Linong, Joshi, Shashank R., Joubert, Michael, Koliwad, Suneil K., Lal, Rayhan A., Lansang, M. Cecilia, Lee, Wei-An (Andy), Leelarathna, Lalantha, Leiter, Lawrence A., Lind, Marcus, Litchman, Michelle L., Mader, Julia K., Mahoney, Katherine M., Mankovsky, Boris, Masharani, Umesh, Mathioudakis, Nestoras N., Mayorov, Alexander, Messler, Jordan, Miller, Joshua D., Mohan, Viswanathan, Nichols, James H., Nørgaard, Kirsten, O’Neal, David N., Pasquel, Francisco J., Philis-Tsimikas, Athena, Pieber, Thomas, Phillip, Moshe, Polonsky, William H., Pop-Busui, Rodica, Rayman, Gerry, Rhee, Eun-Jung, Russell, Steven J., Shah, Viral N., Sherr, Jennifer L., Sode, Koji, Spanakis, Elias K., Wake, Deborah J., Waki, Kayo, Wallia, Amisha, Weinberg, Melissa E., Wolpert, Howard, Wright, Eugene E., Zilbermint, Mihail, and Kovatchev, Boris

Subjects
111708 Health and Community Services, FOS: Clinical medicine, 111199 Nutrition and Dietetics not elsewhere classified, Medicine, FOS: Health sciences, 110306 Endocrinology
Abstract

Supplemental material, sj-pdf-1-dst-10.1177_19322968221085273 for A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings by David C. Klonoff, Jing Wang, David Rodbard, Michael A. Kohn, Chengdong Li, Dorian Liepmann, David Kerr, David Ahn, Anne L. Peters, Guillermo E. Umpierrez, Jane Jeffrie Seley, Nicole Y. Xu, Kevin T. Nguyen, Gregg Simonson, Michael S. D. Agus, Mohammed E. Al-Sofiani, Gustavo Armaiz-Pena, Timothy S. Bailey, Ananda Basu, Tadej Battelino, Sewagegn Yeshiwas Bekele, Pierre-Yves Benhamou, B. Wayne Bequette, Thomas Blevins, Marc D. Breton, Jessica R. Castle, James Geoffrey Chase, Kong Y. Chen, Pratik Choudhary, Mark A. Clements, Kelly L. Close, Curtiss B. Cook, Thomas Danne, Francis J. Doyle, Angela Drincic, Kathleen M. Dungan, Steven V. Edelman, Niels Ejskjaer, Juan C. Espinoza, G. Alexander Fleming, Gregory P. Forlenza, Guido Freckmann, Rodolfo J. Galindo, Ana Maria Gomez, Hanna A. Gutow, Lutz Heinemann, Irl B. Hirsch, Thanh D. Hoang, Roman Hovorka, Johan H. Jendle, Linong Ji, Shashank R. Joshi, Michael Joubert, Suneil K. Koliwad, Rayhan A. Lal, M. Cecilia Lansang, Wei-An (Andy) Lee, Lalantha Leelarathna, Lawrence A. Leiter, Marcus Lind, Michelle L. Litchman, Julia K. Mader, Katherine M. Mahoney, Boris Mankovsky, Umesh Masharani, Nestoras N. Mathioudakis, Alexander Mayorov, Jordan Messler, Joshua D. Miller, Viswanathan Mohan, James H. Nichols, Kirsten Nørgaard, David N. O’Neal, Francisco J. Pasquel, Athena Philis-Tsimikas, Thomas Pieber, Moshe Phillip, William H. Polonsky, Rodica Pop-Busui, Gerry Rayman, Eun-Jung Rhee, Steven J. Russell, Viral N. Shah, Jennifer L. Sherr, Koji Sode, Elias K. Spanakis, Deborah J. Wake, Kayo Waki, Amisha Wallia, Melissa E. Weinberg, Howard Wolpert, Eugene E. Wright, Mihail Zilbermint and Boris Kovatchev in Journal of Diabetes Science and Technology

Published
2022
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40. L'arrivée des stylos connectés

Author

Joubert, Michael and Bekka, Saïd

Abstract

Les patients atteints de diabète de type 1 ou de diabète de type 2 insulinorequérants représentent en France plusieurs centaines de milliers de personnes. Bien que la plupart de ces patients soient maintenant équipés de capteur de glucose interstitiel, apportant au clinicien une mine d'information concernant les profils de glucose, l'absence de données fiables concernant l'insulinothérapie limite l'analyse de la situation et rend difficile l'optimisation thérapeutique. Afin de répondre à ce besoin non couvert, des stylos à insuline connectés, de différentes technologies et ergonomies, ont été développés, permettant une remontée des données d'insuline (dose, timing) sur différentes plateformes de reporting. Les premières études cliniques avec ces stylos montrent que leur utilisation permet d'améliorer l'observance thérapeutique des injections d'insuline, quantitativement et qualitativement, avec un bénéfice associé sur l'équilibre métabolique. L'initiation de ces stylos nécessite bien sûr un accompagnement et une éducation des patients qui doivent s'approprier ce dispositif afin d'en tirer le meilleur profit.

Published
2023
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41. Télésurveillance et diabète. Prise de position de la Société francophone du diabète (SFD). En collaboration avec la Société française d’endocrinologie et diabétologie pédiatrique (SFEDP), le Conseil national professionnel d’endocrinologie, diabétologie et nutrition (CNPEDN), la Fédération française des diabétiques (FFD) et l’Aide aux jeunes diabétiques (AJD)

Author

Thivolet, Charles, primary, Benhamou, Pierre-Yves, additional, Penfornis, Alfred, additional, Joubert, Michael, additional, Delemer, Brigitte, additional, Barat, Pascal, additional, Charpentier, Guillaume, additional, Favre, Sandrine, additional, Franc, Sylvia, additional, Hanaire, Hélène, additional, Jacqueminet, Sophie, additional, de Kerdanet, Marc, additional, Lablanche, Sandrine, additional, Leroy, Rémy, additional, Renard, Eric, additional, Roussel, Ronan, additional, Soggiu, Manon, additional, Thébaut, Jean-François, additional, and Vannier, Annie, additional

Published
2021
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42. Influenza vaccination and prognosis of COVID ‐19 in hospitalized patients with diabetes: Results from the CORONADO study

Author

Diallo, A, Pichelin, Matthieu, Wargny, Matthieu, Gourdy, Pierre, Bonnet, JB, Hadjadj, Samy, Cariou, Bertrand, Sultan, Ariane, Galtier, Florence, Mahot, Pascale, Fournier‐Guilloux, Anne‐Laure, Mauduit, Nicolas, Bigot‐corbel, Edith, Boureau, Anne‐Sophie, Dekcer, Laure, Ernould, Audrey, Primot, Claire, Seguin, Anne, Joliveau, Marielle, Pouvreau, Sonia, FOURNIER, Chloé, Thureau, Jeremy, Fonteneau, Edith, Hublain, Pamela, Nantes, Chu, Agasse, Carole, Kergaradec, Mathilde DE, Minville, Vincent, Vardon‐Bounes, Fanny, Martin‐Blondel, Guillaume, Tramunt, Blandine, Turnin, Marie‐Christine, Hanaire, Hélène, Mansuy, Jean‐Michel, Fabre, Didier, Arhainx, Marie‐Blanche, Cazals, Laurent, Combes, Laure, Lami, Emmanuelle, Cianferani, Mallory, Megarbane, Bruno, Leroy, Pierre, Gautier, Jean‐François, Vidal‐Trecan, Tiphaine, Riveline, Jean‐Pierre, Laplanche, Jean‐Louis, Mouly, Stéphane, Potier, Louis, Roussel, Ronan, Taher, Malak, Abouleka, Yawa, Yaker, Fetta, Carlier, Aurelie, Boutten, Anne, Hallot‐Feron, Marilyne, Mourah, Fadila, Thivolet, Charles, Blond, Emilie, Rolland, Muriel, Mendez, Josep Verdecho, Alexandre, Marine, Pottecher, Julien, Richer, Emilie, Meyer, Laurent, Luca, Florina, Lessinger, Jean‐Marc, Bahougne, Thibault, Guerci, Bruno, Ludwig, Lisa, Benzirar, Siham, Malaplate, Catherine, Matton, Thierry, Poissy, Julien, Faure, Karine, Fontaine, Pierre, Baudoux, Florence, Vambergue, Anne, Pekar, Jean David, Lambert, Marc, Yelnik, Cécile, Bruandet, Amélie, Petit, Laurent, Neau, Didier, Rigalleau, Vincent, Berard, Annie, Galioot, Amandine, Coudroy, Remy, Thille, Arnaud, Robert, René, Roblot‐Cazenave, France, Rammaert, Blandine, Saulnier, Pierre Jean, Piguel, Xavier, Benhenda, Nesrine, Husson, Camille, Olivier, Celine, Torremocha, Florence, Fraty, Mathilde, d'assigny, Marie Flamen, Miot, Aurelie, Bossard, Valentin, Klouche, Kada, Makinson, Alain, Bonnet, Jean‐Baptiste, Foulongne, Vincent, Aubron, Cécile, Ansart, Séverine, Kerlan, Véronique, Quiniou, Pascale, Carre, Jean‐Luc, Quesnot, Stéphane, Laviolle, Bruno, Schwebel, Carole, Epaulard, Olivier, Benhamou, Pierre‐Yves, Betry, Cécile, Borel, Anne‐Laure, Lablanche, Sandrine, Guergour, Dorra, Duclos, Catherine, Cosson, Emmanuel, Guyot, Erwan, Deniau, Aurore, Nguyen, Phucthutrang, Reznik, Yves, Joubert, Michael, Allouche, Stéphane, Guittet, Lydia, Grange, Steven, Etienne, Manuel, Prévost, Gaëtan, Brunel, Valéry, Lagier, Jean‐Christophe, Raoult, Didier, Dutour, Anne, Gaborit, Bénédicte, Boulllu, Sandrine, Darmon, Patrice, Lasbleiz, Adèle, Cerino, Mathieu, Romain, Fanny, Houssays, Marie, Quenot, Jean Pierre, Piroth, Lionel, Vergès, Bruno, Duvillard, Laurence, Bonnotte, Bernard, Mercat, Alain, Dubee, Vincent, Allix, Ingrid, Rodien, Patrice, Dhersin, Robin, Lebeault, Maylis, Trzepizur, Wojciech, Loison, Jocelyne, Brangier, Antoine, Asfar, Pierre, Reynier, Pascal, Larcher, Françoise, Joubaud, Françoise, Andreu, Marie‐Rita, Urbanski, Geoffrey, Hubert, Laurent, Annweiler, Cedric, Dellamonica, Jean, Courjon, Johan, Chevalier, Nicolas, Chinetti, Giulia, Chafai, Magda, Mourvillier, Bruno, Bani‐Sadr, Firouze, Barraud, Sarra, Delemer, Brigitte, Gillery, Philippe, Labedade, Pascale, Chabrol, Amélie, Penfornis, Alfred, Petit, Catherine, Amadou, Coralie, Adler, Maxime, Dubost, Clément, Conan, Pierre‐Louis, Bordier, Lyse, Ceppa, Franck, Garcia, Cyril, Sollier, Mathilde, Dupuy, Olivier, Laplance, Sophie, Billuart, Olivier, Aroulanda, Marie Joseph, Olivier, Frédérique, Ayon, Florence, Wilhelm, Nathalie, Epelboin, Loic, Sabbah, Nadia, Charpin, Aurelie, Squara, Pierre, Belliard, Olivier, Dubois, Claude, Marre, Michel, Auchabie, Johann, Courtois, Roxane, Duriez, Thierry, Mergey, Tiphaine, Vallee, Laura, Seguin, Laetitia, Al‐Salameh, Abdallah, Lanoix, Jean‐Philippe, Soriot‐Thomas, Sandrine, Bourgeois‐Descouls, Anne‐Marie, Desailloud, Rachel, Germain, Natacha, Galusca, Bogdan, Belleton, Gwenaelle, Marouani, Nesrine, Palaghiu, Delia, Hammour, Amira, Berdaguer, Fernando, Klopfenstein, Thimothée, Zayet, Hajer, Winiszewski, Patrice, Zanusso, Marie, Garnier, Pauline, Julier, Ingrid, Hamzaoui, Karim, Marty‐Gres, Sophie, Sadki, Tarik, Cadot, Lucile, Dubost, Jean‐Louis, Gonfroy, Céline, Campinos, Catherine, Martres, Pascale, Coulhon, Marie Pierre, Allou, Nicolas, Bachir, Marwa, Hoang, Stella, Kembellec, Candice, Suply, Olivia, Kharcha, Fatima, Devouge, Anne‐Claire, Flaus‐Furmanuk, Anna, Madeline, Isabelle, Ehinger, Vincent, Bastard, Sophie, Raffray, Loic, Renou, Frederic, Bojarski, Aude, Paul, Caroline, Borsu, Karine, Gorlin, Angelique, Bernardo, Servane, Ut, Carole Truong, Renaud, Stephane, Vignoles, Antoine, Foch, Emilie, Masse, Laurie, Grand, Hubert, Ferrand, Helene, Raffaitin‐Cardin, Christelle, Zellagui, Hadjer, Castang‐Brachet, Celine, Boury, Frederique, Tena, Ana Alvarez, Moura, Isabelle, Kalfon, Pierre, Darasteanu, Juliana, Monier, Arnaud, Foucault, Pascal, Depuille, Alexandra, Laugier‐Robiolle, Stéphanie, Caneiro, Patrick, Basso, Maud, Larger, Etienne, Bouam, Samir, Benzenati, Wahiba, Bachir, Leila Ait, Pillegand, Camille Cussac, Vasse, Marc, Michard, Christophe, Montanier, Nathanaëlle, Millot, Luc, Crepet, Françoise, Ratsimba, Danielle, Bouiller, Kevin, Borot, Sophie, Bruckert, Isabelle, Clergeot, Annie, Schillo, Franck, Vignes, Dorothée, Bourgeon‐Ghittori, Muriel, Lachgar, Hamoud, Cursay, Claire Lambert DE, Levante, Stéphane, Auregan, Jean Charles, Merlet, Antoine, Zaragoza, Cécile, Arnault, Gwénaëlle, Loupp, Anne‐Gaëlle, Lesieur, Olivier, Roncato‐Saberan, Mariam, Gouet, Didier, Lemarie, Romain, Allano, Hong_an, Vivier, Emmanuel, Pariset, Caroline, Luyton, Cédric, Marchand, Lucien, Doroszewski, Fanny, Pecquet, Matthieu, Perard, Laurent, Vuillermoz‐Blas, Sylvie, Kacki, Nicolas, Charrier, Patricia, Ducet‐Boiffard, Amélie, Roure, Françoise Desroys, Bourron, Olivier, Bonnefont‐Rousselot, Dominique, Laroche, Suzanne, Phan, Franck, Hartemann, Agnès, CAUSSY, Cyrielle, Disse, Emmanuel, Guerin, Claude, Perpoint, Thomas, Moulin, Philippe, CARTIER, RÉGINE, Hariri, Geoffroy, Chopin, Dorothée, Vatier, Camille, Bourcigaux, Nathalie, Chaigneau, Emmanuelle, Christin‐Maitre, Sophie, Donadille, Bruno, Feve, Bruno, Lamothe, Sophie, Sarfati, Julie, Pernet, Pascal, Chambon, Anne, Demarsy, Delphine, Campagne, Hugo, Latil‐Plat, Françoise, Berne, Monica, Grinand, Marilyne, Touzet, Marion, Zabulon, Aydrey, Craspag, Jocelyne, Ledoux, Catherine, Contaret, Cedric, Janand‐Delenne, Blandine, Giraud, Anaïs, Lacrimini, Marie Lou, Arrivie, Joëlle, Ancelle, Deborah, Guillois, Carine, Fremy, Bénédicte, Chaalal, Amina, Barrande, Gaëlle, Dorange, Anne, Rouanet, Eglantine, Seret‐Begue, Dominique, Saoud, Audrey, Guedj, Anne‐Marie, Bedos, Nathalie, Velayoudom, Fritz‐Line, Dumas, Marie, Gonda, Benoite, Coffin, Christine, Gibiat, Stéphanie, Lungo, Myriam, Bully, Chantal, Serusclat, Pierre, Bully, Stella, Carre, Patricia, Leberre, Jean‐Philippe, Elkhoury, Carlos, THIEUX, Marine, Paradisi‐Prieur, Laetitia, Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)

Subjects
2019-20 coronavirus outbreak, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Hospitalized patients, Influenza vaccine, Endocrinology, Diabetes and Metabolism, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), [SDV]Life Sciences [q-bio], 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Internal medicine, Diabetes mellitus, Influenza, Human, Internal Medicine, Diabetes Mellitus, Research Letter, Medicine, Humans, 030212 general & internal medicine, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, 0303 health sciences, business.industry, SARS-CoV-2, Vaccination, COVID-19, medicine.disease, Prognosis, Research Letters, 3. Good health, Hospitalization, Propensity score matching, business
Abstract

International audience

Published
2021

43. Alarmes de seuil de glucose des dispositifs de surveillance du glucose interstitiel : consensus sur leurs avantages et inconvénients à travers un panel Delphi

Author

Fradet, Clémence, primary, Guerci, Bruno, additional, Hanaire, Hélène, additional, Bismuth, Élise, additional, Bonnemaison, Élisabeth, additional, Borot, Sophie, additional, Catargi, Bogdan, additional, Farret, Anne, additional, Gouet, Didier, additional, Joubert, Michael, additional, Penfornis, Alfred, additional, Riveline, Jean-Pierre, additional, Rudoni, Sabine, additional, Schaepelynck, Pauline, additional, Sola-Gazagnes, Agnès, additional, and Guillemot, Jonathan, additional

Published
2020
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46. m-santé et diabétologie : avancées en 2019

Author

Galie, Sébastien, primary, Melki, Vincent, additional, Chaillous, Lucy, additional, Joubert, Michael, additional, Guillaume, Aurore, additional, Franc, Sylvia, additional, Halbron, Marine, additional, and Sonnet, Emmanuel, additional

Published
2020
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49. Remote Monitoring of Diabetes: A Cloud-Connected Digital System for Individuals With Diabetes and Their Health Care Providers

Author

Joubert, Michael, Benhamou, Pierre-Yves, Schaepelynck, Pauline, Hanaire, Hélène, Catargi, Bogdan, Farret, Anne, Fontaine, Pierre, Guerci, Bruno, Reznik, Yves, Jeandidier, Nathalie, Penfornis, Alfred, Borot, Sophie, Chaillous, Lucy, Franc, Sylvia, Serusclat, Pierre, Kherbachi, Yacine, Bavière, Eric, Detournay, Bruno, Simon, Pierre, Charpentier, Guillaume, and Admin, Oskar

Subjects
[CHIM.MATE] Chemical Sciences/Material chemistry, type 1 diabetes, insulin therapy, type 2 diabetes, telemedicine, remote monitoring
Abstract

Benefits of telemedicine have been proven in the field of diabetes. Among a number of technical solutions, Diabeo® has been studied in both type 1 and type 2 diabetes with intensive insulin therapy. This digital therapeutic system contains a self-monitoring glucose logbook and offers automated insulin dose recommendations thanks to a fully customizable algorithm. In addition, the cloud-based dedicated software also has features to facilitate remote monitoring, including a platform for diabetes nurses who perform coaching and treatment adjustment. A detailed description of this telemedicine system is provided, as well as results of completed clinical studies. In particular, TeleDiab 1’s positive results on HbA1c in type 1 diabetes are detailed. We conclude with a discussion of the role of this telemedicine system within the landscape of mobile apps for diabetes.

Published
2019

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