About: The impact of strict COVID-19 lockdown in Spain on glycemic profiles in patients with type 1 Diabetes prone to hypoglycemia using standalone continuous glucose monitoring

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About: The impact of strict COVID-19 lockdown in Spain on glycemic profiles in patients with type 1 Diabetes prone to hypoglycemia using standalone continuous glucose monitoring Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	The impact of strict COVID-19 lockdown in Spain on glycemic profiles in patients with type 1 Diabetes prone to hypoglycemia using standalone continuous glucose monitoring
Creator	Mesa, Alex Conget, Ignacio Giménez, Marga Pueyo, Irene Roca, Daria Vidal, Mercè Viñals, Clara
Source	Elsevier; Medline; PMC
abstract	Abstract Aims Spain has been one of the worst affected countries by the COVID-19 pandemic. A very strict lockdown at home was imposed with a tough restriction of mobility. We aimed to evaluate the impact of this exceptional scenario on glucose profile of patients with T1D prone to hypoglycemia using standalone continuous glucose monitoring. Methods Patients with T1D prone to hypoglycemia using multiple daily injections and either a Dexcom G5® or a Free Style Libre® CGM systems for at least 6 months under the funding of National Health Service were included in an observational, retrospective study. Data were collected in two periods: pre-lockdown (PL), February 23rd-March 7th and within lockdown (WL), April 1st-14th 2020. The primary outcome was the difference in the proportion of time in target glucose range of 70–180 mg/dL (TIR). Additional glucometric data were also analysed. Results 92 patients were included: 40 women, age 42.8±3.9 years, disease duration of 23.1±12.6 years. Seventeen patients used Dexcom G5® and 75 Free Style Libre®. TIR 70–180 mg/dL (59.3±16.2 vs 62.6±15.2%), time >180 (34.4±18.0 vs 30.7±16.9%), >250 (11.1±10.6 vs 9.2 ± 9.7%) and Glucose Management Indicator (7.2±0.8 vs 7.0±0.8%) significantly improved (PL vs WL, respectively, p<0.05). Time in hypoglycemia remained unchanged. Conclusions Lockdown conditions imposed by the COVID-19 pandemic may be managed successfully in terms of glycemic control by population with T1D prone to hypoglycemia using CGM. The strict daily routine at home could probably explain the improvement in the time in glycemic target without increasing the time in hypoglycemia.
has issue date	2020-07-30(xsd:dateTime)
bibo:doi	10.1016/j.diabres.2020.108354
bibo:pmid	32739380
has license	els-covid
sha1sum (hex)	6832e8e79dec1b232c125ce9346bc05eeeab97bc
schema:url	https://doi.org/10.1016/j.diabres.2020.108354
resource representing a document's title	The impact of strict COVID-19 lockdown in Spain on glycemic profiles in patients with type 1 Diabetes prone to hypoglycemia using standalone continuous glucose monitoring
has PubMed Central identifier	PMC7392049
has PubMed identifier	32739380
schema:publication	Diabetes Res Clin Pract
resource representing a document's body	covid:6832e8e79dec1b232c125ce9346bc05eeeab97bc#body_text
is schema:about of	named entity 'Diabetes' named entity 'type 1' named entity 'COVID-19' named entity 'hypoglycemia' named entity 'type 1 Diabetes' named entity 'glucose monitoring' named entity 'clinical characteristics' named entity 'T1D' named entity 'insulin' named entity 'chronic diseases' named entity 'multiple daily injections' named entity 'Diabetes' named entity 'virus' named entity 'TIR' named entity 'nutrition' named entity 'T1D' named entity 'Tornese' named entity 'hypoglycemia' named entity 'Bachelor's' named entity 'CGM' named entity 'TIR' named entity 'T1D' named entity 'living conditions' named entity 'null hypothesis' named entity 'mg/dl' named entity 'response variable' named entity 'T1D' named entity 'CGM' named entity 'hypoglycemia' named entity 'T1D' named entity 'glucose' named entity 'continuous glucose monitoring' named entity 'national health' named entity 'socioeconomic' named entity 'T1D' named entity 'hypoglycemia' named entity 'glucose' named entity 'hyperglycaemia' named entity 'CGM' named entity 'COVID' named entity 'glucose levels' named entity 'glucose' named entity 'Demographic characteristics' named entity 'COVID' named entity 'TIR' named entity 'living conditions' named entity 'continuous glucose monitoring' named entity 'carbohydrate' named entity 'CGM' named entity 'glucose' named entity 'clinical data' named entity 'selection bias' named entity 'causation' named entity 'CGM' named entity 'HCL' named entity 'diabetes management' named entity 'high-risk' named entity 'statistically significant' named entity 'Armonk' named entity 'COVID' named entity 'type 1 Diabetes' named entity 'T1D' named entity 'public health crisis' named entity 'follow-up' named entity 'glucose' named entity 'Spain' named entity 'physical activity' named entity 'glucose' named entity 'electronic medical records' named entity 'Type I error' named entity 'personal characteristics' named entity 'glucose' named entity 'glycemic control' named entity 'IBM SPSS Statistics' named entity 'glycemic control'

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