Dataset Information

Anthropometric Measurements and Laboratory Investigations in Children and Youth With Type 1 Diabetes Before and During the COVID-19 Pandemic.

ABSTRACT:

Objectives

Our aim in this study was to compare rates of anthropometric, blood pressure (BP) and glycated hemoglobin (A1C) measurements and laboratory screening for hypothyroidism, nephropathy and dyslipidemia in children and youth with type 1 diabetes (T1D), 1 year before and after the onset of COVID-19.

Methods

Clinical data were analyzed from a voluntary registry of children and youth with T1D followed at the BC Children's Hospital between March 2019 and 2021. Logistic and Poisson mixed-effect models were used.

Results

Four hundred forty patients, with median (interquartile range) age and time since diagnosis 12.7 (9.5 to 15.4) and 4.7 (2.6 to 7.9) years, respectively, were included. Clinic visits were all in-person before March 2020, and 99% via telemedicine afterward. The number of visits per patient was 2 (2 to 3), with a 6% increase during the pandemic (relative risk [RR], 1.06; 95% confidence interval [CI], 1.01 to 1.10). There was a substantial decrease in height, weight and BP measurements (RR, 0.32; 95% CI, 0.28 to 0.36; RR, 0.34, 95% CI, 0.31 to 0.38; RR, 0.005, 95% CI, 0.002 to 0.014, respectively); only 49% of patients had anthropometric and 1% BP data during the pandemic year, compared with >97% before the pandemic. A1C measurements dropped from 3 (2 to 4) to 1 (1 to 2) per patient per year (RR, 0.53; 95% CI, 0.48 to 0.57). Rates of screening investigations were suboptimal before the pandemic, and these rates continued to decline.

Conclusions

Shifting to telemedicine allowed ongoing care during the pandemic, but the frequency of anthropometric, BP and A1C measurements decreased dramatically. A combined telemedicine/in-person model may be needed to ensure adequate care for this population.

SUBMITTER: Silva C

PROVIDER: S-EPMC9009070 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Publications

Anthropometric Measurements and Laboratory Investigations in Children and Youth With Type 1 Diabetes Before and During the COVID-19 Pandemic.

Silva Carolina C Zhang Qian Q Bone Jeffrey N JN Amed Shazhan S

Canadian journal of diabetes 20220414 7

<h4>Objectives</h4>Our aim in this study was to compare rates of anthropometric, blood pressure (BP) and glycated hemoglobin (A1C) measurements and laboratory screening for hypothyroidism, nephropathy and dyslipidemia in children and youth with type 1 diabetes (T1D), 1 year before and after the onset of COVID-19.<h4>Methods</h4>Clinical data were analyzed from a voluntary registry of children and youth with T1D followed at the BC Children's Hospital between March 2019 and 2021. Logistic and Pois ...[more]

PMID: 35987748

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Project description:Type 2 diabetes is a major risk factor for cardiovascular disease. Given the contribution of platelets to atherothrombosis-which in turn is a major contributor to cardiac events, there may be cause to consider platelet function in management of diabetes. Despite the large body of research concerning the role of platelets in cardiovascular complications of type 2 diabetes, evidence from population-based studies of platelet aggregation in diabetes is limited. Mean Platelet Volume (MPV), a cell trait partially associated with markers of platelet activity, is more commonly available. We investigated the association of metabolic syndrome and diabetes with platelet aggregation to three physiological agonists, ADP, collagen, and epinephrine, in the Framingham Heart Study Offspring cohort. We further examined the relationship between MPV measured with Beckman Coulter LH750 instruments and self-reported diabetes as well as MPV and diabetes medication in the UK BioBank cohort, performing the largest such analysis to date. Increased platelet aggregation associated with prevalent diabetes was observed for low concentration epinephrine (0.1 μM) alone and only in analyses of participants stratified either by male sex and/or having metabolic syndrome. Other agonists and concentrations were not significant for prevalent diabetes, or in opposite direction to the main hypothesis (i.e., they showed lower platelet aggregation associated with diabetes). After a median of 18.1 years follow-up, no platelet aggregation trait was associated with increased risk of diabetes (n = 344 cases). As expected, increased MPV was significantly associated with diabetes (β = 0.0976; P = 8.62 × 10-33). Interestingly, sex-stratified analyses indicated the association of MPV with diabetes is markedly stronger in males (β = 0.1232; P = 1.00 × 10-31) than females (β = 0.0514; P = 7.37 × 10-5). Among diabetes medications increased MPV was associated with Insulin (β = 0.1341; P = 1.38 × 10-11) and decreased MPV with both Metformin (β = 0.0763; P = 1.99 × 10-6) as well as the sulphonylureas (β = 0.0559; P = 0.0034). Each drug showed the same direction of effect in both sexes, however, the association with MPV was nearly twice as great or more in women compared to men. In conclusion, platelet function as measured by aggregation to ADP, collagen, or epinephrine does not appear to be consistently associated with diabetes, however, MPV is robustly associated suggesting future work may focus on how MPV segments pre-diabetics and diabetics for risk prediction.

Project description:ImportancePrior research found increases in diabetes among youth during the COVID-19 pandemic, but few studies examined variation across sociodemographics.ObjectiveTo examine diabetes incidence rates among a diverse population of youth in the US before and during the COVID-19 pandemic.Design, setting, and participantsThis cohort study included data from Kaiser Permanente Southern California (KPSC) between January 1, 2016, and December 31, 2021. KPSC members aged from birth to 19 years with no history of diabetes were included. Individuals were followed up using electronic health records for diabetes incidence defined using diagnoses, laboratory values, and medications. Analyses were conducted between November 2022 and January 2023.Main outcome and measuresAge- and sex-standardized annual and quarterly incidence rates per 100 000 person-years (PYs) were calculated for type 1 diabetes and type 2 diabetes between 2016 and 2021. Rates were calculated within strata of age (<10 and 10-19 years), sex, and race and ethnicity (Asian/Pacific Islander, Hispanic, non-Hispanic Black, non-Hispanic White, and other/multiple/unknown). Using Poisson regression with robust error variances, incidence rate ratios (IRR) comparing 2020 to 2021 with 2016 to 2019 were calculated by diabetes type and within age, sex, and race and ethnicity strata and adjusting for health care utilization.ResultsBetween 2016 to 2021, there were 1200, 1100, and 63 patients with type 1 diabetes (mean [SD] age, 11.0 [4.5] years; 687 [57.3%] male), type 2 diabetes (mean [SD] age, 15.7 [2.7] years; 516 [46.9%] male), and other diabetes, respectively. Incidence of type 1 diabetes increased from 18.5 per 100 000 PYs in 2016 to 2019 to 22.4 per 100 000 PYs from 2020 to 2021 with increased IRRs among individuals aged 10 to 19 years, male individuals, and Hispanic individuals. Incidence of type 2 diabetes increased from 14.8 per 100 000 PYs from 2016 to 2019 to 24.7 per 100 000 PYs from 2020 to 2021 with increased IRRs among individuals aged 10 to 19 years, male and female individuals, and those with Black, Hispanic, and other/unknown race and ethnicity.Conclusions and relevanceIn this cohort study of youth in KPSC, incidence of diabetes increased during the COVID-19 pandemic and was more pronounced in specific racial and ethnic groups. Future research to understand differential impacts of physiologic and behavioral risk factors is warranted.

Dataset Information

Anthropometric Measurements and Laboratory Investigations in Children and Youth With Type 1 Diabetes Before and During the COVID-19 Pandemic.

Objectives

Methods

Results

Conclusions

Publications

Anthropometric Measurements and Laboratory Investigations in Children and Youth With Type 1 Diabetes Before and During the COVID-19 Pandemic.

Similar Datasets

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