Glycaemic control during the lockdown for COVID-19 in adults with type 1 diabetes: A meta-analysis of observational studies

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 and Clinical Outcomes in Type 1 Diabetes in the COVID-19 Pre- and Post-Vaccination Periods in Spain: The COVID-SED1 Study

Aims: To evaluate the metabolic and clinical outcomes in the Spanish type 1 diabetes mellitus (T1D) population before and after COVID-19 vaccination. Methods: A retrospective observational study was carried out in Spanish public hospitals previously enrolled in the SED1 study. Adults and children with T1D were included and their clinical electronic records were reviewed. Clinical, laboratory, and glucometric parameters from continuous glucose monitoring (CGM) data corresponding to the periods before and after administering the first COVID-19 vaccination were analyzed. Results: A total of 26 centers and 228 patients participated in this new phase of the SED1 study and 187 were finally evaluable (mean age 37.5 ± 15.6 years, 56.7% women). Overall, 94.6% of the sample was vaccinated, and this percentage increased with higher levels of education (p-value = 0.027). In the pre- and post-vaccination periods, respectively, the number of patients with acute hyperglycemic decompensation was 6/161 (3.7%) and 7/161 (4.3%) (p = 1) and with acute hypoglycemic decompensation was 6/161 (3.7%) and 6/161 (3.7%) (p = 1). The HbA1c level was lower in the post-vaccination period(mean ± SD, mg/dL): pre-vaccination 7.4 ± 0.9; post-vaccination 7.2 ± 1.0, (-0.19; p-value = 0.0006). A total of 31.9% of patients (95% CI: 24.7-39.7) in the pre-vaccination period and 45.0% (IC95%: 37.1-53.1) in the post-vaccine period had HbA1c < 7% (p-value < 0.001). Glucometrics from CGM data also showed numerical improvements post-vaccination. Conclusions: The COVID-19 vaccination was highly accepted in the Spanish T1D population, with hesitancy about the COVID-19 vaccine being higher in those with lower educational levels. A mildly better glycemic control was observed in the post-vaccination period.

Type 1 and Covid-19: Diagnosis, Clinical Care, and Health Outcomes during the Pandemic

The coronavirus disease 2019 (COVID-19) pandemic disrupted health care, creating challenges for people with diabetes and health care systems. Diabetes was recognized as a risk factor for severe disease early in the pandemic. Subsequently, risk factors specific for people with type 1 diabetes were identified, including age, hemoglobin A1c level, and lack of continuous glucose monitoring . Telemedicine, especially when accompanied by diabetes data, allowed effective remote care delivery. However, pre-existing racial disparities in access to diabetes technology persisted and were associated with worse outcomes. Events of the COVID-19 pandemic underscore the importance of continuing to develop flexible and more equitable health care delivery systems.

Research design and baseline participant characteristics of the Resilient, Empowered, Active Living with Diabetes - Telehealth (REAL-T) Study: A randomized controlled trial for young adults with type 1 diabetes

BACKGROUND

Type 1 diabetes (T1D) is a chronic condition affecting nearly 1.9 million people in the United States. Young adults (YAs) with T1D face unique challenges in managing their condition, experiencing poorer health and well-being than other age groups. The current study is evaluating the Resilient, Empowered, Active Living (REAL) intervention, previously shown to improve glucose levels and quality of life among YAs with diabetes, using telehealth delivery (REAL-T) to expand reach and accessibility. This paper reports on the methodology and baseline participant characteristics of the REAL-T study.

METHODS

REAL-T is a two-arm randomized controlled trial that recruited 18-30 year olds with T1D via clinics and social media advertising. Data collection, which was adapted to be fully remote due to COVID-19, occurs every three months for one year. Participants receive either usual care or a 6-month telehealth occupational therapy intervention. The primary outcome is glycated hemoglobin (A1c); secondary outcomes include diabetes distress, quality of life, and continuous glucose monitor-derived measures.

RESULTS

The study enrolled a diverse sample of 209 YAs with T1D. Analysis of baseline data indicates equivalence between the intervention and control groups. Study participants have notably higher diabetes distress and poorer mental well-being than similar populations.

CONCLUSION

The REAL-T study successfully adapted to remote implementation during the COVID-19 pandemic. By examining long-term outcomes, mediating pathways, and cost-effectiveness, the study will contribute knowledge of the impact of tailored interventions for YAs with T1D, designed to reduce disparities and improve health and well-being in this population.

Stress and human health in diabetes: A report from the 19th Chicago Biomedical Consortium symposium

Stress and diabetes coexist in a vicious cycle. Different types of stress lead to diabetes, while diabetes itself is a major life stressor. This was the focus of the Chicago Biomedical Consortium's 19th annual symposium, "Stress and Human Health: Diabetes," in November 2022. There, researchers primarily from the Chicago area met to explore how different sources of stress - from the cells to the community - impact diabetes outcomes. Presenters discussed the consequences of stress arising from mutant proteins, obesity, sleep disturbances, environmental pollutants, COVID-19, and racial and socioeconomic disparities. This symposium showcased the latest diabetes research and highlighted promising new treatment approaches for mitigating stress in diabetes.

Comparison of Glycemic Control Between In-Person and Virtual Diabetes Consults in Hospitalized Patients With Diabetes

BACKGROUND

There is limited evidence that the diabetes in-person consult in hospitalized patients can be replaced by a virtual consult. During COVID-19 pandemic, the diabetes in-person consult service at the University of Miami and Miami Veterans Affairs Healthcare System transitioned to a virtual model. The aim of this study was to assess the impact of telemedicine on glycemic control after this transition.

METHODS

We retrospectively analyzed glucose metrics from in-person consults (In-person) during January 16 to March 14, 2020 and virtual consults during March 15 to May 14, 2020. Data from virtual consults were analyzed by separating patients infected with COVID-19, who were seen only virtually (Virtual-COVID-19-Pos), and patients who were not infected (Virtual-COVID-19-Neg), or by combining the two groups (Virtual-All).

RESULTS

Patient-day-weighted blood glucose was not significantly different between In-person, Virtual-All, and Virtual-COVID-19-Neg, but Virtual-COVID-19-Pos had significantly higher mean ± SD blood glucose (mg/dL) compared with others (206.7 ± 49.6 In-person, 214.6 ± 56.2 Virtual-All, 206.5 ± 57.2 Virtual-COVID-19-Neg, 229.7 ± 51.6 Virtual-COVID-19-Pos; P = .015). A significantly less percentage of patients in this group also achieved a mean ± SD glucose target of 140 to 180 mg/dL (23.8 ± 22.5 In-person, 21.5 ± 20.5 Virtual-All, 25.3 ± 20.8 Virtual-COVID-19-Neg, and 14.4±18.1 Virtual-COVID-19-Pos, P = .024), but there was no significant difference between In-person, Virtual-All, and Virtual-COVID-19-Neg. The occurrence of hypoglycemia was not significantly different among groups.

CONCLUSIONS

In-person and virtual consults delivered by a diabetes team at an academic institution were not associated with significant differences in glycemic control. These real-world data suggest that telemedicine could be used for in-patient diabetes management, although additional studies are needed to better assess clinical outcomes and safety.

Impact of the COVID-19 pandemic on the quality of diabetes care: Insights from longitudinal data in Switzerland

In this population-based cohort study on diabetes care, self-reported quality indicators measured just before (2019) and during (2021) the COVID-19 pandemic were comparable, apart from a modest increase in seasonal influenza immunization and a small decline in patient-centeredness of care in 2021.

The Impact of a Lockdown for the COVID-19 Pandemic on Seasonal HbA1c Variation in Patients with Type 2 Diabetes

Glycemic control in patients with type 2 diabetes may be disrupted due to restricted medical service access and lifestyle changes during COVID-19 lockdown period. This retrospective cohort study examined changes of HbA1c levels in adults with type 2 diabetes 12 weeks before and after May 19 in 2021, the date that COVID-19 lockdown began in Taiwan. The mean levels of HbA1c-after were significantly lower than HbA1c-before in 2019 (7.27 ± 1.27% vs 7.43 ± 1.38%, p < 0.001), 2020 (7.27 ± 1.28% vs 7.37 ± 1.34%, p < 0.001), and 2021 (7.03 ± 1.22% vs 7.17 ± 1.29%, p < 0.001). Considering the seasonal variation of HbA1c, ΔHbA1c values (HbA1c-after minus HbA1c-before) in 2020 (with sporadic COVID-19 cases and no lockdown) were not significantly different from 2021 (regression coefficient [95% CI] = 0.01% [−0.02%, 0.03%]), while seasonal HbA1c variation in 2019 (no COVID-19) was significantly more obvious than in 2021 (−0.05% [−0.07, −0.02%]). In conclusion, HbA1c level did not deteriorate after a lockdown measure during the COVID-19 pandemic in Taiwan. However, the absolute seasonal reduction in HbA1c was slightly less during the COVID-19 pandemic compared with the year without COVID-19.

Diabetes and the COVID-19 pandemic

Almost immediately after the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus emerged, it was evident that people with chronic diseases, including diabetes, were disproportionately affected, with an increased risk of hospitalisation and mortality. Over the ensuing 2 years, the indirect effects of the pandemic on healthcare delivery in the short term have become prominent, along with the lingering effects of the virus in those directly infected. In the wake of the pandemic and without any evidence from high quality studies, a number of national and international consensus recommendations were published, which were subsequently rapidly updated based on observational studies. There have been unprecedented disruptions from both direct and indirect impacts of coronavirus disease-2019 (COVID-19) in people with diabetes. In this review, we summarise the impact of acute COVID-19 in people with diabetes, discuss how the presentation and epidemiology during the pandemic, including presentation of diabetic ketoacidosis and new-onset diabetes, has changed, and we consider the wider impact of the pandemic on patients and healthcare service delivery, including some of the areas of uncertainty. Finally, we make recommendations on prioritising patients as we move into the recovery phase and also how we protect people with diabetes for the future, as COVID-19 is likely to become endemic.

Effect of COVID-19 on Glycemic Control, Insulin Resistance, and pH in Elderly Patients With Type 2 Diabetes

Background The coronavirus disease of 2019 (COVID-19) was spread all over the world, while diabetes mellitus (DM) remains the most prevalent chronic disease worldwide. Aims This study aims to investigate the effect of COVID-19 on glycemic control, insulin resistance (IR), and pH in elderly patients with type 2 diabetes. Methods  A retrospective study was conducted on patients with type 2 DM who were diagnosed with COVID-19 infection in the central hospitals of the Tabuk region. Patient data were collected from September 2021 to August 2022. Four non-insulin-based insulin resistance indexes were calculated for patients: the triglyceride-glucose (TyG) index, the triglyceride glucose-body mass index (TyG-BMI) index, the triglyceride to high-density lipoprotein cholesterol (TG/HDL) ratio, and the metabolic score for insulin resistance (METS-IR). Results Patients showed increased serum fasting glucose and blood HbA1c associated with a high TyG index, TyG-BMI index, TG/HDL ratio, and METS-IR as compared with results before COVID-19. Moreover, during COVID-19, patients revealed a reduction in pH, associated with a reduction in cBase and bicarbonate, and an elevation in PaCO₂ as compared with their results before COVID-19. After complete remission, all patients' results turn back to their level before COVID-19. Conclusions Patients with type 2 DM who catch the COVID-19 infection suffer from dysregulation of glycemic control and elevated insulin resistance associated with a significant reduction in their pH.

Sustained Improvement in Glycemic Control in Emerging Adults with Type 1 Diabetes 2 Years After the Start of the COVID-19 Pandemic

INTRODUCTION

Although there were initial concerns that the public health response to the COVID-19 pandemic would adversely affect glycemic control in people with type 1 diabetes, several early continuous glucose monitor (CGM) studies reported an unexpected slight improvement in glucose metrics. Early emerging adulthood (roughly spanning the ages of 18-24 years) is often a vulnerable time in the life of a person with type 1 diabetes. Here, we set out to determine how the care and glucose management of emerging adults with type 1 diabetes changed over a period of approximately 2 years from the start of the COVID-19 pandemic.

METHODS

This was a retrospective study of a tertiary referral, multidisciplinary young adult diabetes clinic, spanning before and after the 777-day state of emergency in the City of Toronto.

RESULTS

Of 130 emerging adults with type 1 diabetes (80 male, 50 female; mean age 21.0 ± 2.1 years), baseline pre-pandemic HbA_1c values were available for 120 individuals. During 24.9 ± 5.4 months of follow-up before and after the start of the COVID-19 pandemic, HbA_1c fell from 8.5 ± 1.7% (69.3 ± 18.8 mmol/mol) to 8.1 ± 1.9% (65.2 ± 20.5 mmol/mol) (P < 0.05), with change in HbA_1c from pre-lockdown levels being sustained throughout the second year of the pandemic. Over the same period, CGM use rose from 43% to 83%, primarily through increased uptake of intermittently scanned CGM, which is covered through the Ontario Drug Benefit program. Change in HbA_1c was most evident in Dexcom G6 real-time CGM users - 0.7 ± 1.2% (- 9.8 ± 17.1 mmol/mol) (P < 0.01 vs. self-monitoring of blood glucose).

CONCLUSION

Among emerging adults with type 1 diabetes attending a multidisciplinary clinic in a high-income country, glycated hemoglobin levels are on average 0.4% (4.1 mmol/mol) lower than they were before the pandemic. This reduction in HbA_1c is unlikely to be a consequence of early strict lockdowns given the length of time of follow-up. Rather, improved glycemic control coincided with increased utilization of wearable diabetes devices.

Improved CGM Glucometrics and More Visits for Pediatric Type 1 Diabetes Using Telemedicine During 1 Year of COVID-19

PURPOSE

The COVID-19 pandemic led to rapid adoption of telemedicine for the care of youth with type 1 diabetes (T1D). We assessed the utility of a primarily virtual care model by comparing glucometrics from a pediatric sample with T1D using continuous glucose monitoring (CGM) both before and during the pandemic.

METHODS

Pediatric patients aged 1 to 17 years with T1D duration ≥ 1 year if ≥ 6 years old or ≥ 6 months if < 6 years old, with ≥ 1 visit with recorded CGM data both prepandemic (April 1, 2019-March 15, 2020) and during the pandemic (April 1, 2020-March 15, 2021) were included. Data were extracted from the electronic health record.

RESULTS

Our sample comprised 555 young people (46% male, 87% White, 79% pump-treated), mean age 12.3 ± 3.4 years, T1D duration 5.9 ± 3.5 years, baseline glycated hemoglobin A1c 8.0 ± 1.0% (64 ± 10.9 mmol/mol). Diabetes visit frequency increased from 3.8 ± 1.7 visits/prepandemic period to 4.3 ± 2.2 visits/pandemic period (P < 0.001); during pandemic period, 92% of visits were virtual. Glucose management indicator (GMI) improved slightly from 7.9% (63 mmol/mol) prepandemic to 7.8% (62 mmol/mol) during the pandemic (P < 0.001). Those with equal or greater visit frequency (n = 437 [79% of sample]) had significant improvement in GMI (8.0% to 7.8% [64 to 62 mmol/mol], P < 0.001), whereas those with lower visit frequency did not (7.8 [62 mmol/mol], P = 0.86).

CONCLUSIONS

Children and adolescents with T1D using CGM before and during the pandemic showed an overall increase in visit frequency using primarily telemedicine-based care and improved CGM glucometrics. Further research is needed to understand factors associated with successful use of telemedicine for pediatric T1D.

Longitudinal study of the flash glucose monitoring system in type 1 diabetics: An mHealth ally in times of COVID-19

AIMS AND OBJECTIVES

The aim of this study was to assess the effect of the FreeStyle Libre device implantation in adult type 1 diabetics in a Health Area of Castilla La Mancha (Spain) during the COVID-19 pandemic.

BACKGROUND

FreeStyle Libre is a so-called mHealth device that supports health care. During COVID-1 confinement, diabetic patients could have improved their glycaemic monitoring thanks to these devices, although health care in these patients may have been limited due to confinement.

METHODS

A 12-month longitudinal study in which a total of 206 type I diabetics participated, belonging to a single health area. Sociodemographic and analytical data and the Self Care Inventory Revised questionnaire (SCI-R) were collected. STROBE checklist was followed.

RESULTS

The analysis showed differences related to the use of the sensor. After the study period, patients obtained better levels of basal glucose, glycosylated haemoglobin, creatinine, cholesterol, triglycerides and LDL. In addition, a significant increase in the total score of the SCI-R questionnaire was observed after the use of the monitor (MD -7.77; 95% CI -10.43, -8.29). The same occurred with different SCI-R items such as diet (MD -2.995; 95% CI -3.24, -2.57), glucose determination (MD -3.21; 95% CI -3.52, -2.91), medication administration (MD -2.58; 95% CI -2.53, -1.96) and hypoglycaemic episodes (MD -1.07; 95% CI -1.21, -0.93). In the analysis by groups, worse values of glycosylated haemoglobin and adherence to treatment (p < .05) were observed in overweight/obese subjects versus those with normal weight after one year of study.

CONCLUSION

The use of flash monitoring is related to better adherence to most of the recommended habits in diabetes. Nevertheless, there seems to be no relationship with an improvement in physical exercise and preventive aspects of diabetes. A good nursing intervention to support physical exercise and the use of mHealth devices could improve the control of diabetic patients.

RELEVANCE TO CLINICAL PRACTICE

The use of this mHealth device has shown positive results and reduced complications. Despite less contact with healthcare facilities due to the pandemic, type 1 diabetic patients have improved their blood results and adherence after using the device for one year. Nursing staff should focus on promoting physical activity and routine disease care in type 1 diabetics.

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.

Diabetes and COVID-19: Short- and Long-Term Consequences

When the corona pandemic commenced more than two years ago, it was quickly recognized that people with metabolic diseases show an augmented risk of severe COVID-19 and an increased mortality compared to people without these comorbidities. Furthermore, an infection with SARS-CoV-2 has been shown to lead to an aggravation of metabolic diseases and in single cases to new-onset metabolic disorders. In addition to the increased risk for people with diabetes in the acute phase of COVID-19, this patient group also seems to be more often affected by long-COVID and to experience more long-term consequences than people without diabetes. The mechanisms behind these discrepancies between people with and without diabetes in relation to COVID-19 are not completely understood yet and will require further research and follow-up studies during the following years. In the current review, we discuss why patients with diabetes have this higher risk of developing severe COVID-19 symptoms not only in the acute phase of the disease but also in relation to long-COVID, vaccine breakthrough infections and re-infections. Furthermore, we discuss the effects of lockdown on glycemic control.

The effectiveness of a televisit service for people with type 1 diabetes: An observational, retrospective, single center, one year follow-up study

The use of a televisit service complying with efficiency and safety regulatory parameters was effective in significantly improving HbA1c levels of people with T1D after a one-year follow-up period. No acute diabetes-related complications occurred. Patients were highly satisfied with the service. Televisit is a valid option for diabetes management.

Telemedicine for the Clinical Management of Diabetes; Implications and Considerations After COVID-19 Experience

Telemedicine is a clinical approach that was seldom used in the day-to-day practice, if not only in certain settings, before the COVID-19 pandemic. As stated by the WHO, telemedicine is: the delivery of health care services, where distance is a critical factor, by all health care professionals using information and communication technologies (ICT) for the exchange of valid information for diagnosis, treatment and prevention of disease and injuries, …. Telemedicine has actually represented the most useful and employed tool to maintain contacts between patients and physicians during the period of physical distance imposed by the pandemic, especially during the lockdown. Diabetes in particular, a chronic disease that often needs frequent confronting between patient and health professionals has taken advantage of the telehealth approach. Nowadays, technological tools are more and more widely used for the management of diabetes. In this review results obtained by telemendicine application in type 1 and type 2 diabetic individuals during COVID-19 are revised, and future perspectives for telemedicine use to manage diabetes are discussed.

Clinical Team Response to the Impact of COVID-19 on Diabetes Self-Management: Findings From a Qualitative Study

The aims of this study were to explore providers’ perceptions of how COVID-19 affected patients’ psychological wellbeing and diabetes self-care and discover how providers responded to sustain and improve patients’ psychological health and diabetes management during the pandemic. Twenty-four semi-structured interviews were completed with primary care providers (n=14) and endocrine specialty clinicians (n=10) across sixteen clinics in North Carolina. Interview topics included: (1) current glucose monitoring approaches and diabetes management strategies for people with diabetes (2) barriers and unintended consequences encountered with respect to diabetes self-management, and (3) innovative strategies developed to overcome barriers. Interview transcripts were coded using qualitative analysis software and analyzed to identify cross-cutting themes and differences between participants. Primary care providers and endocrine specialty clinicians reported that people with diabetes experienced increased mental health symptoms, increased financial challenges and positive and negative changes in self-care routines due to COVID-19. To offer support, primary care providers and endocrine specialty providers focused discussions on lifestyle management and utilized telemedicine to connect with patients. Additionally, endocrine specialty clinicians helped patients access financial assistance programs. Findings indicate that people with diabetes experienced unique challenges to self-management during the pandemic and providers responded with targeted support strategies. Future research should explore the effectiveness of these provider interventions as the pandemic continues to evolve.

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

During the COVID-19 pandemic, there were increased concerns about glycemic control in patients with diabetes. Therefore, we aimed to assess changes in diabetes management during the COVID-19 lockdown for patients with type 1 or type 2 diabetes mellitus (T1DM, T2DM) in Germany. We included data from 24,623 patients (age>18 years) with T1DM (N=6,975) or T2DM (N=17,648) with documented data in 2019 and 2020 from the multicenter Diabetes-Prospective Follow-up registry (DPV). We conducted a groupwise comparison of identical patients in 2019 and 2020 for different time periods of pandemia. Pairwise differences of continuous parameters of treatment modalities and metabolic outcome between 2019 and 2020 were adjusted for seasonality, age, and diabetes duration. We presented these outcomes as adjusted medians with 95% confidence intervals. Rates were compared using negative-binomial models, dichotomous outcomes were compared using logistic models. Models were additionally adjusted for age and diabetes duration. These outcomes were presented as least-square means with 95% confidence intervals, p-values of<.05 were considered significant.In participants with T1DM, CGI (combined glucose indicator) increased only by 0.11-0.12% in all time periods of 2020 compared to 2019 (all p<0.001) while BMI decreased slightly by -(0.09-0.10) kg/m² (p<0.0001). In participants with T2DM, HbA1c increased by 0.12%, while BMI decreased slightly by -(0.05-0.06) kg/m² (p<0.0001).During the COVID-19 lockdown period, patients with T1DM and T2DM experienced only clinically insignificant changes in glucose control or body weight. Despite lockdown restrictions, patients were able to maintain metabolic control.

The Impact of COVID-19 Lockdown on Glycemic Balance in Romanian Patients with Type 1 Diabetes Mellitus

INTRODUCTION

The COVID-19 pandemic has brought major changes not only at the economic and social level but especially in the medical system.

OBJECTIVE

To evaluate the impact of COVID-19 lockdown on the quality of glycemic control in Romanian patients with type 1 diabetes mellitus (T1DM).

MATERIAL AND METHOD

Our study group included 102 Romanian volunteers' patients with T1DM from both urban and rural areas. Data were collected during an interview, based on a structured questionnaire with multiple-choice questions about diabetes management during lockdown, how they interact with their diabetologist, how they accessed the treatment and what other factors influenced their diabetes management during the lockdown.

RESULTS

Blood glucose levels were significantly higher in the MDII group as a consequence of delayed administration of insulin corrections due to inadequate insulin dosing (60% vs 31.81%; χ ² = 5.51, p = 0.018). In addition, insulin pump users had improved response to stress and anxiety (ie, additional therapeutic safety being provided by use of insulin pump; in some devices, blood glucose being continuously monitored, leading to premature detection of important blood glucose excursions) compared to insulin pen users (χ ² = 5.09, p = 0.024). In the context of hypoglycemia, we observed that in the pen MDII group, more users have administered an excess of insulin, compared with the pump users (80% vs 45.45%; χ ² = 10.34; p = 0.001).

CONCLUSION

A lower impact of COVID-19 lockdown on glycemic control was observed in patients with T1DM treated using insulin pumps compared to patients with T1DM who administered their insulin using insulin pens. Telemedicine and online consultations have brought significant improvements in diseases management. Stress, emotions, and anxiety were among the main reasons that led to increases in blood sugar levels, suggesting that the psychological impact may have long-term complications.

Effect of the Chinese New Year Public Holiday on the Glycemic Control of T1DM With Intensive Insulin Therapy

AIMS

There is limited evidence that evaluates the glycemic control of type 1 diabetes mellitus (T1DM) during the Chinese New Year public holiday in China. The Chinese New Year public holiday represents various challenges to glycemic control, especially in T1DM patients, in China. We aimed to assess the effect of the Chinese New Year public holiday on several glucose metrics using flash glucose monitoring (FGM) in patients with T1DM.

METHODS

Complete FGM data for 1 week before, 1 week during and 1 week after the Chinese New Year public holiday were available for 71 T1DM patients treated with multiple daily insulin injection (MDI) therapy (n = 51) or continuous subcutaneous insulin infusion (CSII) treatment (n = 20). The mean age of the study participants was 13 (9, 30) years. Of note, 59.2% of the patients (n = 42) were adults, and 40.8% of the patients (n = 29) were minors. The interval between each two adjacent periods was one week. The indicators of mean glucose, glucose variability and time in different glycemic ranges were analyzed.

RESULTS

The Chinese New Year public holiday was associated with an increase in mean blood glucose (8.4 ± 1.7 vs. 9.2 ± 2.5; P < 0.001) and time above range (TAR) (27.9% ± 16.6% vs. 35.0% ± 22.3%; P< 0.001) but a decrease in time in range (TIR) (65.1% ± 15.5% vs. 58.0% ± 19.0%; P < 0.001) and coefficient of variation (CV) (65.1% ± 15.5% vs. 58.0% ± 19.0%; P < 0.001). There was no significant difference in time below range (TBR). The glycemic control deteriorated during the Chinese New Year public holiday in our study population regardless of age. Interestingly, in the CSII group, none of the metrics of glucose control significantly changed during the Chinese New Year public holiday.

CONCLUSIONS

These results suggested that less self-management may worsen glycemic control in the short term, indicating a need for more refined management algorithms during the Chinese New Year public holiday for T1DM patients.

COVID-19 and Diabetes

Diabetes mellitus (DM) is one of the most common comorbid conditions in persons with COVID-19 and a risk factor for poor prognosis. The reasons why COVID-19 is more severe in persons with DM are currently unknown although the scarce data available on patients with DM hospitalized because of COVID-19 show that glycemic control is inadequate. The fact that patients with COVID-19 are usually cared for by health professionals with limited experience in the management of diabetes and the need to prevent exposure to the virus may also be obstacles to glycemic control in patients with COVID-19. Effective clinical care should consider various aspects, including screening for the disease in at-risk persons, education, and monitoring of control and complications. We examine the effect of COVID-19 on DM in terms of glycemic control and the restrictions arising from the pandemic and assess management of diabetes and drug therapy in various scenarios, taking into account factors such as physical exercise, diet, blood glucose monitoring, and pharmacological treatment. Specific attention is given to patients who have been admitted to hospital and critically ill patients. Finally, we consider the role of telemedicine in the management of DM patients with COVID-19 during the pandemic and in the future.