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Impact of lockdown in COVID 19 on glycemic control in patients with type 1 Diabetes Mellitus.

Identifieur interne : 000692 ( Main/Exploration ); précédent : 000691; suivant : 000693

Impact of lockdown in COVID 19 on glycemic control in patients with type 1 Diabetes Mellitus.

Auteurs : Anjali Verma [Inde] ; Rajesh Rajput [Inde] ; Surender Verma [Inde] ; Vikas K B. Balania [Inde] ; Babita Jangra [Inde]

Source :

RBID : pubmed:32679527

Descripteurs français

English descriptors

Abstract

BACKGROUND AND AIMS

COVID 19 is a novel pandemic affecting globally. Although no reliable data suggests that patients of well controlled Type 1 Diabetes Mellitus (T1DM) being at increased risk of becoming severely ill with SARS-CoV2, but lockdown may impact patients with T1DM requiring regular medications and follow up. Hence this study was planned to see the impact of lockdown on glycemic control in patients with T1DM.

METHODS

A cross sectional study was done in T1DM patients in whom a structured questionnaire was administered on follow up within 15 days after lockdown. Data regarding hypoglycemic and hyperglycemic episodes, Diabetic ketoacidosis (DKA), insulin dose missed, regular glucose monitoring, dietary compliance, physical activity, hospitalization during the phase of lockdown was taken. Average blood glucose and HbA1C of lockdown phase was compared with the readings of prelockdown phase.

RESULTS

Out of 52 patients, 36.5% had hyperglycemic and 15.3% had hypoglycemic episodes. Insulin dose was missed in 26.9%, glucose monitoring not done routinely in 36.5% and 17.4% were not diet compliant during lockdown. Average blood glucose during lockdown phase was 276.9 ± 64.7 mg/dl as compared to 212.3 ± 57.9 mg/dl during prelockdown phase. Mean HbA1c value of lockdown (10 ± 1.5%) which was much higher that of pre lockdown (8.8 ± 1.3%) and the difference was statistically significant (p < 0.05).

CONCLUSION

Glycemic control of T1DM patients has worsened mainly due to non availability of insulin/glucostrips during lockdown period. There is a need for preparedness in future so that complications can be minimised.


DOI: 10.1016/j.dsx.2020.07.016
PubMed: 32679527
PubMed Central: PMC7357511


Affiliations:


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Le document en format XML

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<b>BACKGROUND AND AIMS</b>
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<p>COVID 19 is a novel pandemic affecting globally. Although no reliable data suggests that patients of well controlled Type 1 Diabetes Mellitus (T1DM) being at increased risk of becoming severely ill with SARS-CoV2, but lockdown may impact patients with T1DM requiring regular medications and follow up. Hence this study was planned to see the impact of lockdown on glycemic control in patients with T1DM.</p>
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<p>
<b>METHODS</b>
</p>
<p>A cross sectional study was done in T1DM patients in whom a structured questionnaire was administered on follow up within 15 days after lockdown. Data regarding hypoglycemic and hyperglycemic episodes, Diabetic ketoacidosis (DKA), insulin dose missed, regular glucose monitoring, dietary compliance, physical activity, hospitalization during the phase of lockdown was taken. Average blood glucose and HbA1C of lockdown phase was compared with the readings of prelockdown phase.</p>
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<p>
<b>RESULTS</b>
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<p>Out of 52 patients, 36.5% had hyperglycemic and 15.3% had hypoglycemic episodes. Insulin dose was missed in 26.9%, glucose monitoring not done routinely in 36.5% and 17.4% were not diet compliant during lockdown. Average blood glucose during lockdown phase was 276.9 ± 64.7 mg/dl as compared to 212.3 ± 57.9 mg/dl during prelockdown phase. Mean HbA1c value of lockdown (10 ± 1.5%) which was much higher that of pre lockdown (8.8 ± 1.3%) and the difference was statistically significant (p < 0.05).</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSION</b>
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<p>Glycemic control of T1DM patients has worsened mainly due to non availability of insulin/glucostrips during lockdown period. There is a need for preparedness in future so that complications can be minimised.</p>
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<CoiStatement>Declaration of competing interest None.</CoiStatement>
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<Reference>
<Citation>Disaster Med Public Health Prep. 2009 Oct;3(3):174-82</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">19865042</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Diabetes Care. 2006 Jan;29(1):158-60</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16373918</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Prehosp Disaster Med. 2008 Sep-Oct;23(5):447-57</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">19189614</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Disaster Med Public Health Prep. 2013 Jun;7(3):257-65</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">23103395</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Arch Intern Med. 1998 Feb 9;158(3):274-8</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">9472208</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Metabolism. 2020 Jun;107:154216</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32220612</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Diabetes Care. 2020 Aug;43(8):e86-e87</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32503838</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Diabetes Care. 2009 Sep;32(9):1632-8</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">19542210</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Diabetes Ther. 2020 May 11;:1-11</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32395187</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Pediatr Diabetes. 2014 May;15(3):175-89</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">23895512</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>MMWR Morb Mortal Wkly Rep. 2004 Sep 17;53(36):837-40</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">15371964</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Lancet. 2020 Feb 15;395(10223):497-506</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">31986264</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Diabetes Metab Syndr. 2020 Jul - Aug;14(4):319-323</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32298984</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Diabetes Technol Ther. 2020 May 12;:</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32396400</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Prev Chronic Dis. 2005 Nov;2 Spec no:A04</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16263037</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Diabetes Technol Ther. 2020 Jun;22(6):462-467</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32421355</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Int J Antimicrob Agents. 2020 Mar;55(3):105924</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32081636</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Prehosp Disaster Med. 2017 Oct;32(5):568-579</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">28606191</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Prehosp Disaster Med. 2008 Mar-Apr;23(2):185-94</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">18557300</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Diabetes Metab Syndr. 2020 Sep - Oct;14(5):917-920</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32574982</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Psychol Med. 1993 Aug;23(3):645-51</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">8234571</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Am J Med Sci. 2008 Aug;336(2):128-33</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">18703906</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
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