CONTEXT: For the last 10 yr, continuous glucose monitoring (CGM) has brought up new insights into the accuracy of blood glucose analysis. OBJECTIVE: Our objective was to determine how islet graft function was able to influence the various components of dysglycemia after islet transplantation (IT). DESIGN AND SETTING: We conducted a single-arm open-labeled study with a 3-yr follow-up in a referral center (ClinicalTrial.gov identifiers NCT00446264 and NCT01123187). PATIENTS: Twenty-three consecutive patients with type 1 diabetes (14 islet alone, nine islet after kidney) received IT within 3 months using the Edmonton protocol. INTERVENTION: INTERVENTION included 72-h CGM before and 3, 6, 9, 12, 24, and 36 months after transplantation. MAIN OUTCOME MEASURE: Graft function was estimated via β-score, a previously validated index (range 0-8) based on treatment requirements, C-peptide, blood glucose, and glycated hemoglobin. RESULTS: At the 3-yr visit, graft function persisted in 19 patients (82%), and 10 (43%) remained insulin independent. Glycated hemoglobin decreased in the whole cohort from 8.3% (7.3-9.0%) at baseline to 6.7% (5.9-7.7%) at 3 yr [median (interquartile range), P < 0.01]. Mean glucose, glucose sd, and time spent with glycemia above 10 mmol/liter (hyperglycemia) and below 3 mmol/liter (hypoglycemia) were significantly lower after IT (P < 0.05 vs. baseline). The four CGM outcomes were related to β-score (P < 0.001). However, partial function (β-score >3) was sufficient to abrogate hypoglycemia; suboptimal function (β-score >5) was necessary to significantly improve mean glucose, glucose sd, and hyperglycemia; and optimal function (β score >7) was necessary to normalize them. CONCLUSION: The four components of dysglycemia were not equally affected by the degree of islet graft function, which could have important implications for future development of β-cell replacement. A β-score above 3 dramatically reduced the occurrence of hypoglycemia.
CONTEXT: For the last 10 yr, continuous glucose monitoring (CGM) has brought up new insights into the accuracy of blood glucose analysis. OBJECTIVE: Our objective was to determine how islet graft function was able to influence the various components of dysglycemia after islet transplantation (IT). DESIGN AND SETTING: We conducted a single-arm open-labeled study with a 3-yr follow-up in a referral center (ClinicalTrial.gov identifiers NCT00446264 and NCT01123187). PATIENTS: Twenty-three consecutive patients with type 1 diabetes (14 islet alone, nine islet after kidney) received IT within 3 months using the Edmonton protocol. INTERVENTION: INTERVENTION included 72-h CGM before and 3, 6, 9, 12, 24, and 36 months after transplantation. MAIN OUTCOME MEASURE: Graft function was estimated via β-score, a previously validated index (range 0-8) based on treatment requirements, C-peptide, blood glucose, and glycated hemoglobin. RESULTS: At the 3-yr visit, graft function persisted in 19 patients (82%), and 10 (43%) remained insulin independent. Glycated hemoglobin decreased in the whole cohort from 8.3% (7.3-9.0%) at baseline to 6.7% (5.9-7.7%) at 3 yr [median (interquartile range), P < 0.01]. Mean glucose, glucose sd, and time spent with glycemia above 10 mmol/liter (hyperglycemia) and below 3 mmol/liter (hypoglycemia) were significantly lower after IT (P < 0.05 vs. baseline). The four CGM outcomes were related to β-score (P < 0.001). However, partial function (β-score >3) was sufficient to abrogate hypoglycemia; suboptimal function (β-score >5) was necessary to significantly improve mean glucose, glucose sd, and hyperglycemia; and optimal function (β score >7) was necessary to normalize them. CONCLUSION: The four components of dysglycemia were not equally affected by the degree of islet graft function, which could have important implications for future development of β-cell replacement. A β-score above 3 dramatically reduced the occurrence of hypoglycemia.
Authors: A Sancho; M C Pastor; L Cañas; C Morales Indiano; M Ardèvol; S Aguerrevere; J Juega; R Romero; R Lauzurica Journal: Transplant Proc Date: 2011 Jul-Aug Impact factor: 1.066
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Authors: Ashley Pinckney; Mark R Rigby; Lynette Keyes-Elstein; Carol L Soppe; Gerald T Nepom; Mario R Ehlers Journal: Clin Ther Date: 2016-05-18 Impact factor: 3.393
Authors: Michael R Rickels; Peter G Stock; Eelco J P de Koning; Lorenzo Piemonti; Johann Pratschke; Rodolfo Alejandro; Melena D Bellin; Thierry Berney; Pratik Choudhary; Paul R Johnson; Raja Kandaswamy; Thomas W H Kay; Bart Keymeulen; Yogish C Kudva; Esther Latres; Robert M Langer; Roger Lehmann; Barbara Ludwig; James F Markmann; Marjana Marinac; Jon S Odorico; François Pattou; Peter A Senior; James A M Shaw; Marie-Christine Vantyghem; Steven White Journal: Transpl Int Date: 2018-04 Impact factor: 3.782