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Effects of COVID-19 Pandemic on a Health Care System: Case Study of the CirculatORy System in LiThuania (COVID-COR-LT)

V

Vilnius University

Status

Completed

Conditions

Cardiovascular Diseases

Treatments

Other: Data collection on cardiovascular mortality
Other: Data collection on outpatient care
Other: Data collection on hospitalisation
Other: Data collection of patients presenting to the tertiary care centre with acute coronary syndrome

Study type

Observational

Funder types

Other

Identifiers

NCT05021575
S-COV-20-27 (Other Grant/Funding Number)
2020/8-1247-730 (Other Identifier)

Details and patient eligibility

About

Coronavirus disease of 2019 (COVID-19) affected the health care systems all around the world. The collateral damage of the pandemic on the cardiovascular (CV) care and CV mortality has been noticed and reported early. In Lithuania, first quarantine measurements were introduced on 16th March and lifted on 16th June of 2020, limiting contact appointments to urgent care only. This led to a substantial proportion of routine cardiovascular appointments, diagnostic and therapeutic procedures being cancelled and greatly limited the availability of cardiovascular care. The prognostic impact of this has not been appropriately analysed. Also, comprehensive analyses of the changes in national CV services, including outpatient care and hospitalisations and CV mortality, during different periods of the pandemic (during first and second waves and in between) are scarce. The objectives of this population-based study were: (1) to assess the impact of the COVID-19 pandemic on CV care (2) to compare rates of outpatient care visits and hospitalisations of cardiovascular patients in different periods of 2019 and 2020 (3) to compare the rates of CV mortality in Lithuania in different periods of 2019 and 2020 (4) to investigate sex and age differences in CV care and CV mortality

Full description

COVID-19 pandemic has greatly affected the world and changed health care in almost every country. During the spring of 2020, first pandemic wave was of different scale in different countries. In countries affected by the virus the most, a majority of the studies focused on the direct impact of COVID-19 on community health. It was noticed promptly that the novel virus is especially high-risk for patients with cardiovascular comorbidities. Furthermore, the collateral damage of COVID-19 pandemic on the provision of cardiovascular (CV) care and cardiovascular mortality was also reported early in several nationwide and selected cohort studies. The research was mostly focused on acute cardiovascular conditions; changes in hospital admissions and early mortality after myocardial infarction were also often analysed. Meanwhile, a substantial proportion of routine appointments, diagnostic and therapeutic procedures was cancelled. Data on the changes in total national CV services, including out- and in-patient health care facilities, acute and chronic conditions, during the outbreak, between the two pandemic waves and onwards are scarce. First case of COVID-19 in Lithuania was confirmed on 28th February 2020. First nationwide quarantine was introduced by Lithuanian government on 16th March and ended on 16th June. In that period, although Lithuania was reported among the least affected countries according to World Health Organization - 1 773 COVID-19 cases were recorded and 86 patients (of whom 10 patients died from other causes after testing positive for SARS-CoV-2) had died before the end of quarantine, Lithuanian government limited contact appointments to urgent conditions only. The utmost efforts to provide triage, follow-up care by telephone call and e-prescriptions were recommended. This greatly affected availability of cardiovascular care. The second pandemic wave in Lithuania was substantially more severe. Consequently, the second nationwide quarantine was implemented on 7th November, 2020. Contact appointments were not limited by the government; however, the scope of CV care was again negatively affected, mostly by the strained health care system.

We analysed the indirect impact of the COVID-19 pandemic in a country, which was hit by two very different pandemic waves. The objectives of this population-based study were: (1) to assess the impact of the COVID-19 pandemic on CV care (2) to compare rates of outpatient care visits and hospitalisations of cardiovascular patients in different periods of 2019 and 2020 (3) to compare the rates of CV mortality in Lithuania in different periods of 2019 and 2020 (4) to investigate sex and age differences in CV care and CV mortality

Enrollment

839,678 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • ≥18 years old adult patients
  • Included in either National Health Insurance Fund outpatient and hospitalisation registries related to cardiovascular diseases from 1st January 2019 to 30th November 2020
  • Included in Causes of Death Registry from Institute of Hygiene with cardiovascular diagnoses from 1st January 2019 to 31st December 2020.

Exclusion criteria

  • Cases, when sex was not available were excluded from sex differences analysis.
  • Death certificates where place of death was unspecified were excluded from death place analysis

Trial design

839,678 participants in 2 patient groups

2020
Description:
Data on outpatient care, hospitalisation and cardiovascular mortality were collected for the year 2020.
Treatment:
Other: Data collection on cardiovascular mortality
Other: Data collection on outpatient care
Other: Data collection of patients presenting to the tertiary care centre with acute coronary syndrome
Other: Data collection on hospitalisation
2019
Description:
Data on outpatient care, hospitalisation and cardiovascular mortality were collected for the year 2019.
Treatment:
Other: Data collection on cardiovascular mortality
Other: Data collection on outpatient care
Other: Data collection of patients presenting to the tertiary care centre with acute coronary syndrome
Other: Data collection on hospitalisation

Trial contacts and locations

3

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Data sourced from clinicaltrials.gov

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