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J Thorac Cardiovasc Surg ; 161(5): 1605-1614.e4, 2021 05.
Article in English | MEDLINE | ID: covidwho-1014656

ABSTRACT

OBJECTIVE: This study aimed to provide an insight into the impact of the early outbreak of the novel Coronavirus Disease 2019 on the care management for patients with congenital heart disease. METHODS: This study respectively enrolled a cohort of surgical patients who underwent surgery in 2018 (group I), 2019 (group II), and 2020 (group III) and a cohort of follow-up patients who had follow-up in 2017 (group A), 2018 (group B), and 2019 (group C) in 13 children hospitals. RESULTS: During the Coronavirus Disease 2019 era, there was a significant decrease in total surgical volume and a change in case mix in terms of an increase in the proportion of emergency operations. Decrease in migration scale index was correlated to the decrease in both surgical volume (r = 0.64, P = .02) and outpatient visit volume (r = 0.61, P = .03). There was a significantly higher proportion of patients who had follow-up through the internet or phone in group C (26.4% vs 9.6% in group B and 8.9% in group A; P < .0001). There was no statistical difference in death or rehospitalization among the 3 follow-up groups (P = .49). There was higher parents' anxiety score (P < .0001) and more use of telemedicine (P = .004) in group C compared with groups A and B. CONCLUSIONS: The Coronavirus Disease 2019 pandemic has resulted in a considerable decrease in total surgical volume and a change of case mix, which seems to be related to the strict traffic ban. Follow-up through the online medical service appears to be an effective alternative to the conventional method.


Subject(s)
COVID-19/epidemiology , Cardiac Surgical Procedures/statistics & numerical data , Heart Defects, Congenital/surgery , Pandemics , Child , China/epidemiology , Disease Outbreaks/statistics & numerical data , Heart Defects, Congenital/epidemiology , Humans , Patient Care Management/statistics & numerical data , Retrospective Studies , SARS-CoV-2 , Thoracic Surgery/statistics & numerical data
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