Metabolic control during the SARS‐CoV‐2 lockdown in a large German cohort of pediatric patients with type 1 diabetes: Results from the DPV initiative

Objective To assess if metabolic control worsened during the SARS‐CoV2 lockdown in spring 2020 in youth with type 1 diabetes (T1D) in Germany. Methods Data from 19,729 pediatric T1D patients from the diabetes prospective follow‐up (DPV) registry were available. Data sets from four time‐periods betwe...

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Veröffentlicht in:Pediatric diabetes 2022-05, Vol.23 (3), p.351-361
Hauptverfasser: Hammersen, Johanna, Reschke, Felix, Tittel, Sascha R., Pappa, Angeliki, Dost, Axel, Köstner, Katharina, Rosenbauer, Joachim, Kapellen, Thomas M., Rohrer, Tilman R., Holl, Reinhard W.
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container_end_page 361
container_issue 3
container_start_page 351
container_title Pediatric diabetes
container_volume 23
creator Hammersen, Johanna
Reschke, Felix
Tittel, Sascha R.
Pappa, Angeliki
Dost, Axel
Köstner, Katharina
Rosenbauer, Joachim
Kapellen, Thomas M.
Rohrer, Tilman R.
Holl, Reinhard W.
description Objective To assess if metabolic control worsened during the SARS‐CoV2 lockdown in spring 2020 in youth with type 1 diabetes (T1D) in Germany. Methods Data from 19,729 pediatric T1D patients from the diabetes prospective follow‐up (DPV) registry were available. Data sets from four time‐periods between January 1 and June 30, 2020, were compared with data from the whole year 2019 in the same patient; differences were adjusted for seasonality, increasing age, and longer diabetes duration. HbA1c values from laboratory measurements and estimates derived from continuous glucose monitoring (CGM) were aggregated into a combined glucose indicator (CGI), expressed in analogy to HbA1c. Results Based on regression models adjusted for differences of sex, age, diabetes duration, and migratory background between the four time‐periods, CGI values in 2020 were slightly higher than in 2019, for example, by 0.044% (0.042–0.046) (median [95% CI]) in the second lockdown month, time‐period 3. Insulin dose and BMI‐SDS were also marginally higher. In 2020, there were fewer hospitalizations (e.g., incidence risk ratio in time‐period 3 compared with 2019: 0.52 [95% CI: 0.46–0.58]). In a subgroup of patients reporting CGM data in both years, metrics in 2020 improved: time in target increased, and mean sensor glucose fell, for example, by 2.8% (2.7–2.9), and by 4.4 mg/dl (4.3–4.6) in time‐period 3. Conclusion Before, during, and after the lockdown in spring 2020, metabolic control in youth with T1D in Germany did not differ significantly from the preceding year. Further effects of the ongoing pandemic on pediatric T1D patients need to be evaluated.
doi_str_mv 10.1111/pedi.13319
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Methods Data from 19,729 pediatric T1D patients from the diabetes prospective follow‐up (DPV) registry were available. Data sets from four time‐periods between January 1 and June 30, 2020, were compared with data from the whole year 2019 in the same patient; differences were adjusted for seasonality, increasing age, and longer diabetes duration. HbA1c values from laboratory measurements and estimates derived from continuous glucose monitoring (CGM) were aggregated into a combined glucose indicator (CGI), expressed in analogy to HbA1c. Results Based on regression models adjusted for differences of sex, age, diabetes duration, and migratory background between the four time‐periods, CGI values in 2020 were slightly higher than in 2019, for example, by 0.044% (0.042–0.046) (median [95% CI]) in the second lockdown month, time‐period 3. Insulin dose and BMI‐SDS were also marginally higher. In 2020, there were fewer hospitalizations (e.g., incidence risk ratio in time‐period 3 compared with 2019: 0.52 [95% CI: 0.46–0.58]). In a subgroup of patients reporting CGM data in both years, metrics in 2020 improved: time in target increased, and mean sensor glucose fell, for example, by 2.8% (2.7–2.9), and by 4.4 mg/dl (4.3–4.6) in time‐period 3. Conclusion Before, during, and after the lockdown in spring 2020, metabolic control in youth with T1D in Germany did not differ significantly from the preceding year. Further effects of the ongoing pandemic on pediatric T1D patients need to be evaluated.</description><identifier>ISSN: 1399-543X</identifier><identifier>EISSN: 1399-5448</identifier><identifier>DOI: 10.1111/pedi.13319</identifier><identifier>PMID: 35084805</identifier><language>eng</language><publisher>Former Munksgaard: John Wiley &amp; Sons A/S</publisher><subject>Adolescent ; Blood Glucose - metabolism ; Blood Glucose Self-Monitoring - methods ; Child ; children ; Communicable Disease Control - methods ; COVID-19 - prevention &amp; control ; Diabetes ; diabetes management ; Diabetes mellitus (insulin dependent) ; Diabetes Mellitus, Type 1 - metabolism ; Germany ; Glucose ; Glucose monitoring ; Glycated Hemoglobin A - analysis ; glycemic control ; Humans ; Insulin ; Metabolism ; Patients ; Pediatrics ; Prospective Studies ; quarantine ; Regression analysis ; SARS‐CoV‐2 pandemic ; school closures ; Severe acute respiratory syndrome coronavirus 2</subject><ispartof>Pediatric diabetes, 2022-05, Vol.23 (3), p.351-361</ispartof><rights>2022 The Authors. published by John Wiley &amp; Sons Ltd.</rights><rights>2022 The Authors. 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Methods Data from 19,729 pediatric T1D patients from the diabetes prospective follow‐up (DPV) registry were available. Data sets from four time‐periods between January 1 and June 30, 2020, were compared with data from the whole year 2019 in the same patient; differences were adjusted for seasonality, increasing age, and longer diabetes duration. HbA1c values from laboratory measurements and estimates derived from continuous glucose monitoring (CGM) were aggregated into a combined glucose indicator (CGI), expressed in analogy to HbA1c. Results Based on regression models adjusted for differences of sex, age, diabetes duration, and migratory background between the four time‐periods, CGI values in 2020 were slightly higher than in 2019, for example, by 0.044% (0.042–0.046) (median [95% CI]) in the second lockdown month, time‐period 3. Insulin dose and BMI‐SDS were also marginally higher. 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Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Pediatric diabetes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hammersen, Johanna</au><au>Reschke, Felix</au><au>Tittel, Sascha R.</au><au>Pappa, Angeliki</au><au>Dost, Axel</au><au>Köstner, Katharina</au><au>Rosenbauer, Joachim</au><au>Kapellen, Thomas M.</au><au>Rohrer, Tilman R.</au><au>Holl, Reinhard W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolic control during the SARS‐CoV‐2 lockdown in a large German cohort of pediatric patients with type 1 diabetes: Results from the DPV initiative</atitle><jtitle>Pediatric diabetes</jtitle><addtitle>Pediatr Diabetes</addtitle><date>2022-05</date><risdate>2022</risdate><volume>23</volume><issue>3</issue><spage>351</spage><epage>361</epage><pages>351-361</pages><issn>1399-543X</issn><eissn>1399-5448</eissn><abstract>Objective To assess if metabolic control worsened during the SARS‐CoV2 lockdown in spring 2020 in youth with type 1 diabetes (T1D) in Germany. Methods Data from 19,729 pediatric T1D patients from the diabetes prospective follow‐up (DPV) registry were available. Data sets from four time‐periods between January 1 and June 30, 2020, were compared with data from the whole year 2019 in the same patient; differences were adjusted for seasonality, increasing age, and longer diabetes duration. HbA1c values from laboratory measurements and estimates derived from continuous glucose monitoring (CGM) were aggregated into a combined glucose indicator (CGI), expressed in analogy to HbA1c. Results Based on regression models adjusted for differences of sex, age, diabetes duration, and migratory background between the four time‐periods, CGI values in 2020 were slightly higher than in 2019, for example, by 0.044% (0.042–0.046) (median [95% CI]) in the second lockdown month, time‐period 3. Insulin dose and BMI‐SDS were also marginally higher. In 2020, there were fewer hospitalizations (e.g., incidence risk ratio in time‐period 3 compared with 2019: 0.52 [95% CI: 0.46–0.58]). In a subgroup of patients reporting CGM data in both years, metrics in 2020 improved: time in target increased, and mean sensor glucose fell, for example, by 2.8% (2.7–2.9), and by 4.4 mg/dl (4.3–4.6) in time‐period 3. Conclusion Before, during, and after the lockdown in spring 2020, metabolic control in youth with T1D in Germany did not differ significantly from the preceding year. 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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Adolescent
Blood Glucose - metabolism
Blood Glucose Self-Monitoring - methods
Child
children
Communicable Disease Control - methods
COVID-19 - prevention & control
Diabetes
diabetes management
Diabetes mellitus (insulin dependent)
Diabetes Mellitus, Type 1 - metabolism
Germany
Glucose
Glucose monitoring
Glycated Hemoglobin A - analysis
glycemic control
Humans
Insulin
Metabolism
Patients
Pediatrics
Prospective Studies
quarantine
Regression analysis
SARS‐CoV‐2 pandemic
school closures
Severe acute respiratory syndrome coronavirus 2
title Metabolic control during the SARS‐CoV‐2 lockdown in a large German cohort of pediatric patients with type 1 diabetes: Results from the DPV initiative
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