COVID-19 Lockdown Periods in 2020: Good Maintenance of Metabolic Control in Adults with Type 1 and Type 2 Diabetes

Comparison of BMI and HbA1c changes before and during the COVID-19 pandemic in type 1 diabetes: a longitudinal population-based study

Purpose

To compare the changes in body weight and glycemic control before and during the COVID-19 pandemic in people with type 1 diabetes (T1D).

Methods

In 47,065 individuals with T1D from the German Diabetes Prospective Follow-up Registry (DPV), we compared the adjusted mean changes in BMI-Z-scores and HbA1c as well as the distribution of individual changes between four periods from March 2018 to February 2022, by sex and age group (4- < 11, 11- < 16, 16-50 years).

Results

At population level, the only significant pandemic effects were a slight increase in BMI Z-score in prepubertal children (girls: + 0.03 in the first COVID year vs. before, P < 0.01; boys: + 0.04, P < 0.01) as well as a stabilization of HbA1c in all subgroups or even improvement in women (- 0.08%, P < 0.01). At individual level, however, heterogeneity increased significantly (p < 0.01), especially in children. More prepubertal children gained weight (girls: 45% vs. 35% before COVID; boys: 39% vs. 33%). More pubertal girls lost weight (30% vs. 21%) and fewer gained weight (43% vs. 54%). More children had a decreasing HbA1c (prepubertal group: 29% vs. 22%; pubertal girls: 33% vs. 28%; pubertal boys: 32% vs. 25%) and fewer had increasing values. More women had stable HbA1c and fewer had increasing values (30% vs. 37%). In men, no significant changes were observed.

Conclusion

This real-world analysis shows no detrimental consequences of the two first COVID years on weight and HbA1c in T1D on average, but reveals, beyond the mean trends, a greater variability at the individual level.

Metabolic control during the first two years of the COVID-19 pandemic in pediatric patients with type 1 diabetes: results from the German DPV initiative

AIM

To assess effects of the SARS-CoV2 pandemic on metabolic control in youth with type 1 diabetes (T1D) in Germany in a population-based analysis.

METHODS

Data from 33,372 pediatric T1D patients from the Diabetes Prospective Follow-up (DPV) registry, with face-to-face visits or telemedicine contacts in the years 2019-2021, were available. Datasets from eight time periods between March 15, 2020, and December 31, 2021, according to SARS-CoV2 incidence waves, were compared to those from five control time periods. Parameters of metabolic control were assessed with adjustment for sex, age, diabetes duration, and repeated measurements. Laboratory-measured HbA1c values and those estimated from CGM were aggregated into a combined glucose indicator (CGI).

RESULTS

There was no clinically relevant difference in metabolic control between pandemic and control time periods with adjusted CGI values ranging from 7.61% [7.60-7.63] (mean [95% confidence interval (CI)]) in the third quarter of 2019 to 7.83% [7.82-7.85] in the time period from January 1 to March 15 2020, in the other control periods, and during the pandemic, CGI values lay between these values. BMI-SDS rose during the pandemic from 0.29 [0.28-0.30] (mean [95% CI]) in the third quarter of 2019 to 0.40 [0.39-0.41] during the fourth wave. Adjusted insulin dose rose during the pandemic. Event rates for hypoglycemic coma and diabetic ketoacidosis remained unchanged.

CONCLUSIONS

We found no clinically relevant change of glycemic control or incidence of acute diabetes complications during the pandemic. The observed BMI increase may represent an important health risk for youth with T1D.

The metabolic control and laboratory evaluation in patients with type 2 diabetes during the COVID-19 pandemic and the impact of telemedicine: a single-center experience

Objective: The study aimed to evaluate the metabolic control during the COVID-19 pandemic in subjects with type 2 diabetes mellitus (T2DM) and whether care through telemedicine significantly impacted it.

Material and methods: This was a retrospective study for which three time-periods were prespecified: the COVID-19 pandemic period, pre-COVID-19 period, and before pre-COVID-19. The following information were collected: anthropometric and laboratory parameters (glycated hemoglobin (HbA1c), blood glucose, lipid profile, creatinine, eGFR, etc.), self-measured blood glucose (SMBG), blood pressure (BP), diabetes therapy, number of on-site and of telemedicine consultations. The mean values of all available measurements for HbA1c, SMBG, BP, weight, and body mass index (BMI) were calculated.

Results: During the COVID-19 pandemic, the HbA1c values increased (6.78±0.77% to 6.96±0.87%, p<0.0001; + 0.18±0.67%), despite treatment intensification (p<0.01), while BMI and total cholesterol values slightly decreased (32.01±5.5 kg/m2 to 31.7±5.4 kg/m2, p<0.0001, and 178.1±40.8 mg/dl to 170.5±38.4 mg/dl, p<0.05). The deterioration of glycemic control (to HbA1c >7%) were rather seen in males (to 7.01±0.92%, p<0.0001), patients from rural areas (to 7.08±0.96%, p<0.001) and younger than 65 y.o. (to 7.05±0.82%, p<0.001). More male patients had a mean HbA1c increase of >0.5% during the COVID-19 pandemic (32.3% vs 21.5%, p<0.05). Patients who received more diabetes care visits through telemedicine had a more attenuated increase in HbA1c (6.79±0.80% to 6.90±0.83%, p<0.05 vs 6.76±0.72% to 7.08±0.92%, p<0.0001).

Conclusions: The glycemic control slightly deteriorated during the COVID-19 pandemic (but with overall HbA1c within target), with certain patient categories being more affected. Diabetes care though telemedicine allowed the maintenance of the metabolic control.

The impact of the COVID-19 pandemic on glycaemic control in people with diabetes: A systematic review and meta-analysis

AIM

To identify, appraise and synthesize the available evidence on the impact of the coronavirus disease 2019 (COVID-19) pandemic and lockdown (LD) on glycaemic control in people with diabetes.

MATERIALS AND METHODS

We searched multiple databases up to 2 February 2021 for studies reporting HbA1c, time in range (TIR), average or fasting glucose, severe hypoglycaemia and diabetic ketoacidosis. Data were pooled using random effects meta-analysis and are presented as mean difference (MD) with 95% confidence intervals (CI). This review was preregistered on PROSPERO (CRD42020179319).

RESULTS

We include 59 studies; 44 (n = 15 464) were included in quantitative syntheses and 15 were narratively synthesized. Pooled data were grouped by diabetes type. Results from 28 studies (n = 5048 type 1 diabetes [T1D] and combined diabetes participants) showed that TIR increased during LD compared with before LD (MD 2.74%, 95% CI 1.80% to 3.69%). Data from 10 studies (n = 1294 T1D participants) showed that TIR increased after LD compared with before LD (MD 5.14%, 95% CI 3.12% to 7.16%). Pooled results from 12 studies (n = 4810 T1D and type 2 diabetes participants) resulted in average glucose decreasing after LD compared with before LD (MD -6.86 mg/dl, 95% CI -8.54 to -5.18). Results for other outcomes, including HbA1c, were not statistically significantly different.

CONCLUSIONS

The COVID-19 pandemic was associated with small improvements across multiple outcomes of glycaemic control, although there was insufficient evidence to suggest that this led to changes in HbA1c. Most evidence came from people with access to diabetes technologies in high-income countries; more research is needed in less advantaged populations.

Influence of the SARS-CoV-2 pandemic on paediatric patients with type 1 diabetes mellitus after one year of follow-up

OBJECTIVES

Lockdown during the SARS-CoV-2 pandemic generated uncertainty regarding its effects on the control of type 1 diabetes (DM1). Our study aims to evaluate the influence of the pandemic on the control of paediatric patients with DM1.

METHODS

Longitudinal, retrospective, observational study in patients with DM1 attended between 15/10/2019 and 15/03/2020. Data were collected at that visit and at the three subsequent visits. The second was remote in 50% of cases. The variables analysed were: type of insulin therapy, time in range (TIR), time in hypoglycaemia (THypo), time in hyperglycaemia (THyper), coefficient of variation (CV), glycosylated haemoglobin, insulin requirements and anthropometric data.

RESULTS

157 patients were recruited. At the post-lockdown visit, the TIR increased and the THyper decreased with respect to the first (p<0.00) and second (p<0.00) visits. Patients treated with subcutaneous infusion showed a higher TIR at the third visit (p=0.03) and lower insulin requirements at the fourth visit (p=0.03) compared to patients treated with multiple doses. Patients with a remote visit presented a higher TIR (p<0.00), a lower THyper (p=0.00) and lower insulin requirements (p=0.01) at the next visit. Patients aged less than 6 years presented a lower glycosylated haemoglobin (p=0.01) and insulin requirements at the third (p=0.03) and fourth (p=0.01) visits, and a lower increase in body mass index (p=0.03) over the year.

CONCLUSIONS

Metabolic control improved at the post-lockdown visit. Patients treated with subcutaneous infusion, those who had a remote visit during strict lockdown and those aged less than 6 years had a better evolution.