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

COVID-19 封锁对糖尿病患者代谢控制和医疗保健服务获取的影响:CONFI-DIAB 横断面研究

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Abstract

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.

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