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.

Changes in clinic visits and diabetes and metabolic control in patients with type 2 diabetes during COVID-19 pandemic: A real world evidence.

PURPOSE: The study aim was to evaluate the effects of public lockdown during the covid-19 pandemic on glucose and metabolic parameters as well as body weight control in type 2 diabetic patients. METHODS: This study was conducted in two outpatient Diabetes Clinics and analyzed data available in database of Diabetes Clinic. Data related to a year before covid-19 pandemic and a year during covid-19 pandemic was collected from the database and analyzed. Patients with type 2 diabetes included in the analysis if they had referred to Diabetes Clinics both before and during covid-19 pandemic. Demographic information and data about metabolic status were collected from the records of previous outpatient Clinic visits and compared RESULTS: Finally 9440 patients with mean age of 61.08 ± 11.62 referred to Diabetes Clinics in both the year before and the year of the corona pandemic. Mean FBS and HbA1c in diabetes patients reduced significantly from 155.37 ± 62.93 and 7.97 ± 1.74 before pandemic, respectively to 138.77 ± 45.39 and 7.54 ± 1.34, respectively during covid-19 outbreak. During covid-19 pandemic, all metabolic parameters including glycemic and lipid profile (except for triglyceride) and BMI (body mass index) reduced significantly statistically, but, these changes were not clinically significant. However, triglyceride level increased statistically significantly but again it was not significant clinically. CONCLUSION: During COVID-19 lockdown, glycemic and metabolic control of diabetes patients have improved significantly except for triglycerides.

Telemedicine for the management of diabetic patients in a high-complexity Latin American hospital.

BACKGROUND: Noncommunicable diseases such as diabetes mellitus (DM) have gained attention worldwide. Latin America experienced a rise in rates of DM. During the COVID-19 pandemic, a telemedicine program was implemented in a quaternary care academic complex in Latin America to continue the follow-up of patients with diabetes. OBJECTIVE: The aim of this study is to describe the clinical experience of DM patient management through telemedicine and the HbA1c behavior of patients followed-up through this modality. MATERIALS AND METHODS: We conducted a retrospective cohort study including all patients with type 1 or 2 diabetes who were treated via telemedicine from March to December 2020. A Wilcoxon statistical test was used to compare the changes in glycosylated hemoglobin between the first teleconsultation and after 6 months of telemedicine follow-up. RESULTS: A total of 663 patients were included, 17.65% (117) of whom had type 1 diabetes and 82.35% (546) of whom had type 2 diabetes. Patients with both types of diabetes, presented with stable HbA1c values regardless of the length of follow-up. CONCLUSION: The use of telemedicine can be a helpful tool for both patients and health care providers to support the continuity of care to maintain acceptable control levels within glycemic control goals.

Behavioral Problems among Type 1 Diabetes Mellitus Children with Good and Poor Metabolic Control During COVID-19 Pandemic

Background: Children with type-1 diabetes mellitus (T1DM) often experience emotional and behavioral problems such as anxiety and depression. Social restrictions during the COVID-19 pandemic caused social restrictions and limited access to healthcare facili-ties, which may have worsened the metabolic control. Objective(s): This study aimed to analyze the behavioral problems among type 1 diabetes mellitus children with good and poor metabolic control during COVID-19 pandemic. Method(s): This cross-sectional study was conducted in January-August 2021 in the Endocrine Outpatient Clinic of General Hospital Dr. Soetomo Surabaya. Type-1-DM children who fulfilled the inclusion criteria were divided into two groups based on metabolic control, including good (HbA1C <= 8) and poor (HbA1C > 8). The Pediatric Symptom Checklist-17 (PSC-17) was used as a screening tool with the domain internalizing problems (IP), externalizing problems (EP), and attention problems (AP). The data were analyzed using Pearson or Spearman test with Statistical Product and Service Solution (SPSS) version 18.0. Result(s): In this study, 27 subjects (17 boys and 10 girls, aged 12.63 +/- 3.39 years) were investigated. Of all subjects, only 8 subjects had good metabolic control during the COVID-19 pandemic. Furthermore, 33.3% of the participants had behavioral problems (14.8% IP;18.5% EP). The frequencies of IP, EP, and AP in the good metabolic control group were 12.5%, 37.5%, and 0%, respectively;while those in the poor metabolic group were 15.8%, 10.5%, and 0%, respectively. There was no significant difference between the good and poor metabolic control groups in terms of behavior problems (P = 1.00, IP;P = 0.14, EP). Conclusion(s): No significant difference was found between good and poor metabolic control groups (P = 1.00, IP;P = 0.14, EP). How-ever, the frequency of EP was higher in good metabolic control, and the frequency of IP was higher in poor metabolic control. Copyright © 2022, Author(s).

Weight gain in type 1 diabetes during the SARS-CoV-2 pandemic. Does lockdown affect the metabolic control of pediatric patients?

Background and aims: Due to the severe acute respiratory syndrome coronavirus 2 pandemic, governments of many countries decided to implement lockdowns, which included school closures. This major lifestyle change also applied to people with diabetes. The aim of this paper was to analyze how the COVID-19 pandemic and related restrictions influenced the metabolic compensation of diabetes in the pediatric population. Methods: Patients with type 1 diabetes (T1D), treated by one therapeutic team, who in 2020 and 2021 paid at least two in-person visits in the outpatient clinic, were included in the study. The time in range (TIR) and HbA1c, as well as the total daily dose (TDD) of insulin and BMI from the visit before the announcement of the pandemic restrictions (March 2020) and during the lockdown (second visit after 6 months) and within the period of loosened restrictions (two visits in 2021) were analyzed. Results: A total of 185 patients with T1D were included in the study (96 boys), aged 2-18 years (11.5 ± 3.5); 135 of them (72.9%) use CSII and 142 (76.8%) use CGM or FGM. During the first months of the studied period, despite comparable (p>0.05) TIR (57.5 ± 21.4% vs. 59.9 ± 20.5%), improvement of HbA1c was noticed (7.9 ± 1.6% vs. 7.5 ± 1.4%, p=0.0336), whereas in the following months, both HbA1c and TIR were comparable. Also, the TDD increased significantly (from 37.3 ± 18.9 units/day on the first visit up to 46.8 ± 22.7 units/day on the last visit, p=0.0003); however, TDD/kg remained constant (p>0.05) (0.8 ± 0.2 units/kg/day vs. 0.8 ± 0.3 units/kg/day) possibly due to an increased BMI (19.1 ± 3.7 kg/m2 vs. 20.9 ± 4.1 kg/m2, p=0.0001). The percentage of basal insulin in the TDD remained stable (p>0.05) (39.7 ± 11.3% vs. 39.3 ± 13.6%). Furthermore, a significant (p=0.0001) change in the BMI percentile was noticed [from 58.9 ± 26.2 percentiles (%iles) before lockdown vs. 64.6 ± 26.0%iles on the second visit]. However, the BMI percentile returned to baseline (58.1 ± 28.4%iles) at the visit at the end of the observation period. Conclusions: The parameters of metabolic control in pediatric patients with T1D during the pandemic period remained stable; however, weight gain and an increase in daily insulin dose have been observed, possibly due to reduced physical activity.

Investigation of COVID-19 fear, treatment compliance, and metabolic control of patients with type 2 diabetes mellitus during the pandemic.

AIMS: This study was carried out to investigate fear levels, treatment compliance, and metabolic control of type II Diabetes Mellitus patients during the COVID-19 pandemic. METHODS: The study employed a single-center, observational design and was conducted between January and April 2021. The study consisted of 303 patients who attended the internal medicine outpatient clinic of a university hospital in Turkey. For data collection, the Patient Identification Form, COVID-19 Fear Scale, and the Type II Diabetes Treatment Compliance Scale were used. The study complied with the Helsinki Declaration criteria. IBM SPSS v25.0 statistics package program was used for data analysis. RESULTS: The mean age of the patients was 45.8 ± 7.5 years, the mean duration of illness was 8.2 ± 3.6 years. Moreover, 40.6% of patients presented with poor levels of treatment compliance. In addition, the mean FCV-19S score of the patients was 29.1 ± 3.05. It was noticeable that those with high mean scores of FCV-19S had poor compliance with treatment and metabolic control during the pandemic (p < 0.05). PRACTICE IMPLICATIONS: Fear of COVID-19 negatively affects treatment compliance and metabolic control of type II diabetes patients. The patients avoided attending their regular follow-ups at the hospital due to fear of contracting COVID-19. In order to reduce the fear of COVID-19 it is paramount to maintain optimum metabolic control and treatment compliance.

A retrospective analysis of metabolic control in children with PKU in the COVID-19 era.

Background: Patients with phenylketonuria (PKU) must maintain a lifelong natural protein-restricted diet to prevent neuro-cognitive damage. Early diagnosis is established with newborn screening, with diet subsequently controlled by regular phenylalanine (Phe) monitoring. During the COVID-19 pandemic, significant lockdown measures were introduced that may have influenced the above. Aim of our study: To establish whether the diagnosis was delayed in neonates during the pandemic. In addition, metabolic control was further assessed during the COVID-19 pandemic era (CE) compared to the same period a year prior (non-COVID-19 era, NCE). The lockdown periods (LD) were also compared with unrestricted periods (URP). Patients methods: Six neonates born during the CE and eight neonates born during NCE were included in the newborn screening analysis. Seventy-two classical PKU patients aged 2-18 years and categorized as children (2-12 years; 51 patients) and adolescents (>13 years; 21 patients) were included in the metabolic control analysis. The frequency of dried blood spot (DBS) sampling and Phe levels were assessed according to the different periods. Results: There was no diagnostic or therapeutic delay in reaching the recommended Phe range in neonates born during CE compared to those born in NCE (median [interquartile range, IQR]: 23.5 [22.5-24] vs. 22 [18.0-27] days, p = NS). The cumulative DBS sampling frequency in children increased by 9.9% in the CE while no change was noted in the adolescent group. The median Phe level increased significantly in both age groups in the CE, but remained within the recommended target range. During CE, changes in Phe levels differed in the two age groups: children had the highest median Phe in the second lockdown period (LD2), while the adolescents had an increased Phe in URP.There were significant negative correlations between DBS sampling frequencies and Phe levels in both age groups in NCE (children: r - 0.43, p = 0.002; adolescents r = -0.37, p = 0.012), and in adolescents in CE (r = -0.62, p = 0.006). Conclusion: The pandemic did not impact newborn metabolic screening. The increased frequency of DBS sampling in CE and good target Phe levels suggest a better compliance in a very sensitive period. Since many factors may impact metabolic control in the different age groups, further studies are needed to analyse their respective role.

Multi-omics insights into host-viral response and pathogenesis in Crimean-Congo hemorrhagic fever viruses for novel therapeutic target.

The pathogenesis and host-viral interactions of the Crimean-Congo hemorrhagic fever orthonairovirus (CCHFV) are convoluted and not well evaluated. Application of the multi-omics system biology approaches, including biological network analysis in elucidating the complex host-viral response, interrogates the viral pathogenesis. The present study aimed to fingerprint the system-level alterations during acute CCHFV-infection and the cellular immune responses during productive CCHFV-replication in vitro. We used system-wide network-based system biology analysis of peripheral blood mononuclear cells (PBMCs) from a longitudinal cohort of CCHF patients during the acute phase of infection and after one year of recovery (convalescent phase) followed by untargeted quantitative proteomics analysis of the most permissive CCHFV-infected Huh7 and SW13 cells. In the RNAseq analysis of the PBMCs, comparing the acute and convalescent-phase, we observed system-level host's metabolic reprogramming towards central carbon and energy metabolism (CCEM) with distinct upregulation of oxidative phosphorylation (OXPHOS) during CCHFV-infection. Upon application of network-based system biology methods, negative coordination of the biological signaling systems like FOXO/Notch axis and Akt/mTOR/HIF-1 signaling with metabolic pathways during CCHFV-infection were observed. The temporal quantitative proteomics in Huh7 showed a dynamic change in the CCEM over time and concordant with the cross-sectional proteomics in SW13 cells. By blocking the two key CCEM pathways, glycolysis and glutaminolysis, viral replication was inhibited in vitro. Activation of key interferon stimulating genes during infection suggested the role of type I and II interferon-mediated antiviral mechanisms both at the system level and during progressive replication.

Crimean-Congo hemorrhagic fever (CCHF) is an emerging disease that is increasingly spreading to new populations. The condition is now endemic in almost 30 countries in sub-Saharan Africa, South-Eastern Europe, the Middle East and Central Asia. CCHF is caused by a tick-borne virus and can cause uncontrolled bleeding. It has a mortality rate of up to 40%, and there are currently no vaccines or effective treatments available. All viruses depend entirely on their hosts for reproduction, and they achieve this through hijacking the molecular machinery of the cells they infect. However, little is known about how the CCHF virus does this and how the cells respond. To understand more about the relationship between the cell's metabolism and viral replication, Neogi, Elaldi et al. studied immune cells taken from patients during an infection and one year later. The gene activity of the cells showed that the virus prefers to hijack processes known as central carbon and energy metabolism. These are the main regulator of the cellular energy supply and the production of essential chemicals. By using cancer drugs to block these key pathways, Neogi, Elaldi et al. could reduce the viral reproduction in laboratory cells. These findings provide a clearer understanding of how the CCHF virus replicates inside human cells. By interfering with these processes, researchers could develop new antiviral strategies to treat the disease. One of the cancer drugs tested in cells, 2-DG, has been approved for emergency use against COVID-19 in some countries. Neogi, Elaldi et al. are now studying this further in animals with the hope of reaching clinical trials in the future.

Effect of the COVID-19 quarantine on metabolic control in children and adolescents with type 1 diabetes.

INTRODUCTION: Metabolic control in type 1 diabetes (T1D) depends on many factors such as eating habits, exercise and lifestyle. The objective of this study was to investigate how these factors were affected during the coronavirus disease 2019 (COVID-19) lockdown and impacted metabolic control in children with T1D. MATERIALS AND METHOD: One hundred children with T1D were enrolled in the study. Anthropometric measurements, snack and meal frequency, carbohydrate consumption, HbA1c levels, and exercise patterns were recorded and compared before and after the lockdown. Subjects were divided into two subgroups-patients with decreased and patients with increased HbA1c levels after the lockdown-and comparisons of the same parameters were also made between these two subgroups. RESULTS: In the overall group, the mean HbA1c level was significantly higher after the lockdown compared to before (p=0.035). Meal schedules changed due to delayed sleep and waking times, and total daily carbohydrate consumption increased in the subgroup with increased HbA1c while it decreased in the subgroup with decreased HbA1c (p<0.001 for both). CONCLUSION: Our study supports the notion that blood sugar management in children with T1D worsened during the COVID-19 pandemic. Although it is not possible to explain this with any one factor, some behavioral changes observed in our study, such as inactivity, irregular meal frequency and timing, and irregular sleep and waking patterns appeared to be associated with blood sugar management.

COVID-19 vaccination in adolescents and young adults with type 1 diabetes: Glycemic control and side effects.

BACKGROUND: Two vaccines against SARS-CoV-2 are approved by the World Health Organization (WHO) for minors aged 12 years and over. Currently, people with both type 1 diabetes (T1D) and type 2 diabetes (T2D) are prioritized for vaccination. OBJECTIVE: To evaluate possible glycemic control modification, insulin dose adjustment and adverse effects after COVID-19 vaccination in young T1D individuals, users of different technology levels. METHODS: Thirty-nine T1D individuals, who received a whole vaccination cycle of either Moderna or Pfizer- BioNTech vaccines, were enrolled, 24 of whom using advanced hybrid closed loop systems (AHCLs) and 15 using intermittently scanned continuous glucose monitoring (isCGM). Symptoms after each dose and the following variables were considered: time in range 70-180 mg/dl (TIR), time in different glucose ranges, mean glucose levels, coefficient of variation (CV), total daily dose (TDD) and bolus proportion RESULTS: No significant differences in TIR, time in different glucose ranges, mean glucose levels, TDD, bolus proportion, were observed before and after any dose nor before and after the whole vaccination cycle. CV was significantly lower after the whole vaccination cycle (CV pre-vaccination 35.1 ± 6.9% vs. CV post-vaccination 33.5 ± 6.3%; p 0.031) in subjects treated by AHCLs. Side effects after the vaccination were mild and more frequent after the second dose. No severe adverse reactions were reported. CONCLUSIONS: COVID-19 vaccination was safe and not associated with significant perturbation of glycemic control in adolescents and young adults with T1D. This information could be of clinical use when counseling families about SARS-CoV-2 vaccination in young people with T1D.

The impact of COVID-19 lockdown on glycaemic control and use of health services among children followed at a Danish diabetes clinic.

AIM: During COVID-19 restrictions, the paediatric clinic only accepted essential outpatient visits, schools closed, sports activities and social life were limited. Most employees worked at home. This quasi-experiment evaluates how this affected glycaemic control and use of health services among children with diabetes. METHODS: Paired t-tests were used to compare HbA1c-values before, during and after lockdown. Sub-analyses were stratified by pre-lockdown HbA1c-values. RESULTS: Overall mean HbA1c decreased from 58.3 to 56.9 mmol/mol (p = 0.025) from pre- to post-lockdown, a decrease also seen during the same season the previous year. HbA1c decreased by -4.2 mmol/mol (p = 0.002) for patients with pre-lockdown HbA1c > 59 mmol/mol, but increased slightly by 0.8 mmol/mol (p = 0.176) for patients with HbA1c < 52 mmol/mol. HbA1c measured 8 months post-lockdown increased again, most pronounced for patients with lowest HbA1c. During lockdown, virtual contacts increased from 0.1 to 0.5 contacts/patient/month and stayed post-lockdown at 0.3 contacts/patient/month. CONCLUSION: Compared to 2019, overall the COVID-19 restrictions did not influence the glycaemic control negatively. However, patients with pre-lockdown HbA1c < 52 mmol/mol experienced a deterioration, whereas those with HbA1c > 59 mmol/mol experienced an improvement. Less stress and more contact with parents may contribute to the last-mentioned finding. The lockdown enforced more virtual contacts between patients and the clinic.

The effect of the COVID-19 pandemic on metabolic control in children with type 1 diabetes: a single-center experience.

OBJECTIVES: Coronavirus disease 2019 has caused a major epidemic worldwide, and lockdowns became necessary in all countries to prevent its spread. This study aimed to evaluate the effects of staying-at-home practices on the metabolic control of children and adolescents with type 1 diabetes during the pandemic period. MATERIALS AND METHODS: Eighty-nine patients younger than 18 years old who were diagnosed with type 1 diabetes at least one year before the declaration of the pandemic were included in the study. The last visit data of the patients before and after the declaration of the pandemic, and the frequency of presentation of diabetes-related emergencies from one year after diagnosis of type 1 diabetes to the declaration of the pandemic, and from the declaration of the pandemic to the last visit after the pandemic declaration were compared. RESULTS: The total number of patients was 89, and 48 (53.9%) were boys. The mean (± standard deviation [SD]) age at diagnosis was 8.4 ± 3.7 years (boys 7.9 ± 3.6 years; girls 8.9 ± 3.9 years). There was no statistically significant difference when the SD values of the anthropometric measurements, and the glycosylated hemoglobin (HbA1c) and lipid profile tests were compared. However, the frequency of admission to the emergency service related to diabetes was significantly different. CONCLUSIONS: Although the pandemic did not significantly affect the metabolic and glycemic controls of the children with type 1 diabetes included in this study, an increase in the frequency of diabetes-related emergency admissions was noted.

The Impact of COVID-19 Lockdown on Metabolic Control and Access to Healthcare in People with Diabetes: the CONFI-DIAB Cross-Sectional Study.

INTRODUCTION: The COVID-19 pandemic led to an international health crisis and restrictions. While the phenotype associated with COVID-19 severity in people with diabetes has rapidly been explored, the impact of restrictive measures, including lockdown, and tertiary care disruption on metabolic control and access to healthcare remained unknown. The aim of our study was to provide a comprehensive assessment on the overall management of diabetes during lockdown, including glucose control, weight changes, health care consumption and use of alternative forms of care such as telemedicine services, in a large sample of patients with type 1 (T1DM) or type 2 diabetes mellitus (T2DM). METHODS: A prioritization of a care self-administered questionnaire was sent at the end of the first COVID-19 lockdown to all patients with diabetes routinely followed by diabetologists from the University Hospital of Nancy (France). This observational cross-sectional single-center study focused on data from patients with diabetes who returned the questionnaire along with medical records. The primary outcome was the change in HbA1c levels between the 6 months preceding and the 6 weeks following the lockdown. Data are expressed as numbers (%) or medians (quartiles). This study is registered with ClinicalTrials.gov (NCT04485351). RESULTS: We analyzed data from 870 patients with diabetes: 549 T2DM (63.1%), 520 males (59.8%), age 65.0 (57.0, 72.0), body mass index 28.6 (25.1, 32.9) and diabetes duration 20.0 (10.0, 30.0) years. HbA1c levels pre- and post-lockdown were respectively 7.7% (7.1, 8.4) and 7.4% (6.8, 8.2), translating into a significant reduction of - 0.1% (- 0.6, 0.15) (p < 0.0001). Stratified analyses suggested a consistent significant reduction of HbA1c independently of diabetes type. HbA1c reduction was significantly different according to weight changes: - 0.3% (- 0.8, 0.0), - 0.1% (- 0.5, 0.1) and - 0.1% (- 0.5, 0.3) for patients who lost, had stable or gained weight, respectively (p = 0.0029). Respectively, 423 (49.4%) and 790 (92.3%) patients did not consult their general practitioner and diabetologist. Blood tests were undergone by 379 (44.8%) patients, 673 (78.3%) did refill their prescriptions, and 269 (32.1%) used teleconsultation services. CONCLUSIONS: Despite the implementation of a lockdown and disruption in healthcare, no deterioration, rather an improvement, in metabolic control was observed in a large sample of patients with T1DM and T2DM.

Effect of the COVID-19 quarantine on metabolic control in children and adolescents with type 1 diabetes.

INTRODUCTION: Metabolic control in type 1 diabetes (T1D) depends on many factors such as eating habits, exercise and lifestyle. The objective of this study was to investigate how these factors were affected during the coronavirus disease 2019 (COVID-19) lockdown and impacted metabolic control in children with T1D. MATERIALS AND METHOD: One hundred children with T1D were enrolled in the study. Anthropometric measurements, snack and meal frequency, carbohydrate consumption, HbA1c levels, and exercise patterns were recorded and compared before and after the lockdown. Subjects were divided into two subgroups-patients with decreased and patients with increased HbA1c levels after the lockdown-and comparisons of the same parameters were also made between these two subgroups. RESULTS: In the overall group, the mean HbA1c level was significantly higher after the lockdown compared to before (p=0.035). Meal schedules changed due to delayed sleep and waking times, and total daily carbohydrate consumption increased in the subgroup with increased HbA1c while it decreased in the subgroup with decreased HbA1c (p<0.001 for both). CONCLUSION: Our study supports the notion that blood sugar management in children with T1D worsened during the COVID-19 pandemic. Although it is not possible to explain this with any one factor, some behavioral changes observed in our study, such as inactivity, irregular meal frequency and timing, and irregular sleep and waking patterns appeared to be associated with blood sugar management.

PKU and COVID19: How the pandemic changed metabolic control.

BACKGROUND: COVID19 pandemic urged the need to take severe measures for reducing the epidemic spread. Lockdowns were imposed throughout countries and even Inborn errors of metabolism (IEMs) affected patients had to face it and adapt, with management strategies changes coming along. Phenylketonuria (PKU) is an inborn error of phenylalanine (Phe) metabolism causing, when not treated, blood Phe increases and consequent central nervous system (CNS) damage. Dietary intervention is the main recognized treatment and must be maintained long-life, however adherence is often suboptimal in adulthood. Aim of this study was to evaluate whether and how the pandemic had impacted PKUs metabolic control and what factors may have played a role as potential modifiers. METHODS: Patients ≥4 yo and in follow-up at our Metabolic Clinic were enrolled in this study, divided into subgroups according to age (GROUP A < 12 yo; GROUP B ≥ 12 yo). Videoconsults were conducted on a minimum monthly basis and collected DBS were studied and compared to previous year same time-period in order to evaluate possible changes. RESULTS: 39% of patients (n = 121) increased the number of performed DBS. "Non-compliant" patients were reduced (11-3%) with a - 14% of patients with mean Phe levels >600 umol/l and a - 8% of patients with 100% DBS above same level. GROUP A maintained substantially unchanged metabolic control among two analyzed time-periods. On the contrary, GROUP B demonstrated significant reductions in mean blood Phe concentrations (p < 0.0001) during the pandemic (mean 454 umol/l, SD ± 252, vs. 556.4 umol/l, SD ± 301). DISCUSSION: COVID19 pandemic strongly impacted people's life with lifestyle habits changing consistently. PKU patients had to adapt their dietary restrictions to the new environment they were exposed to and, if younger patients could have been less exposed (meals strictly according to diet plan independently from setting), adolescent and adults strongly reflected the obligation to stay home by showing better metabolic control. Multiple factors could have played a role in that and the availability of teleconsultancy may have contributed allowing easier connections, but our data demonstrate how the pandemic and the environment can strongly impact PKUs adherence to treatment and how removing distance barriers can ameliorate and optimize metabolic compliance.

Impact of COVID-19 lockdown on glucose control of elderly people with type 2 diabetes in Italy.

AIMS: to evaluate the effect of home confinement related to COVID-19 lockdown on metabolic control in subjects with T2DM in Italy. METHODS: we evaluated the metabolic profile of 304 individuals with T2DM (65% males; age 69 ± 9 years; diabetes duration 16 ± 10 years) attending our Diabetes Unit early at the end of lockdown period (June 8 to July 7, 2020) and compared it with the latest one recorded before lockdown. RESULTS: There was no significant difference in fasting plasma glucose (8.6 ± 2.1 vs 8.8 ± 2.5 mmol/L; P = 0.353) and HbA1c (7.1 ± 0.9 vs 7.1 ± 0.9%; P = 0.600) before and after lockdown. Worsening of glycaemic control (i.e., ΔHbA1c ≥ 0.5%) occurred more frequently in older patients (32.2% in > 80 years vs 21.3% in 61-80 years vs 9.3% in < 60 years; P = 0.05) and in insulin users (28.8 vs 16.5%; P = 0.012). On multivariable analysis, age > 80 years (OR 4.62; 95%CI: 1.22-16.07) and insulin therapy (OR 1.96; 95%CI: 1.10-3.50) remained independently associated to worsening in glycaemic control. CONCLUSIONS: Home confinement related to COVID-19 lockdown did not exert a negative effect on glycaemic control in patients with T2DM. However, age and insulin therapy can identify patients at greatest risk of deterioration of glycaemic control.

Short-term impact of COVID-19 lockdown on metabolic control of patients with well-controlled type 2 diabetes: a single-centre observational study.

AIMS/HYPOTHESIS: The strict rules applied in Italy during the recent COVID-19 pandemic, with the prohibition to attend any regular outdoor activity, are likely to influence the degree of metabolic control in patients with type 2 diabetes. We explored such putative effect immediately after the resolution of lockdown rules, in the absence of any variation of pharmacologic treatment. METHODS: One-hundred and fourteen patients with adequate metabolic control took part in this single-centre, prospective, observational study. The metabolic profile tested 1 week after the end of the lockdown was compared with the last value and the mean of the last three determinations performed before the pandemic emergency (from 6 months to 2 years before). RESULTS: After 8 weeks of lockdown, an increase of HbA1c > 0.3% (mean +0.7%) was observed in 26% of the participants; these were also characterized by a persistent elevation in serum triglycerides able to predict the worsening of glucose control. CONCLUSIONS: Lockdown determined a relevant short-term metabolic worsening in approximately one-fourth of previously well-controlled type 2 diabetic individuals; pre-lockdown triglycerides were the only parameter able to predict such derangement of glucose control.