Mortality Risk within 14 Days after Coronavirus Disease 2019 Diagnosis in Dementia Patients: A Nationwide Analysis

Yi Jun Kim, Yongho Jee, Sholhui Park, Eun Hee Ha, Inho Jo, Hyang Woon Lee, Myung Seon Song

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Introduction: The study evaluated the increased mortality risk within 14 days of coronavirus disease 2019 (COVID-19) diagnosis in dementia patients. Methods: This retrospective study was conducted from February to April 2020 using the COVID-19 patients' database from the Korea Disease Control and Prevention Agency. The risk factors for early death within 14 days were determined using generalized logistic regression performed in a stepwise manner. Dementia patients diagnosed with COVID-19 were used for the study. The propensity score-matched cohort was included as controls. The differences in mortality within 14 days after COVID-19 diagnosis between the dementia patients and controls were evaluated. Results: We enrolled 5,349 COVID-19 patients from the database; 224 had dementia as comorbidity. The mortality rate within 14 days after COVID-19 diagnosis in dementia patients and the controls was 23.7% versus 1.7%, respectively, before propensity score matching (PSM) (p < 0.001), and 23.7% versus 9.2% after PSM (p < 0.001). The hazard ratio (HR) for mortality within 14 days in COVID-19 patients with dementia was significant even after PSM (HR 5.104, 95% confidence interval 2.889-5.673, p < 0.001). The survival curve of dementia patients was steeply inclined within 14 days after COVID-19 diagnosis, resulting in 70.7% of all deaths in dementia patients. Conclusions: COVID-19 patients with dementia had a higher risk of early death within 14 days. Thus, prompt intervention is necessary for dementia patients after COVID-19 diagnosis.

Original languageEnglish
Article number1122
Pages (from-to)1
Number of pages12
JournalDementia and Geriatric Cognitive Disorders
Volume12
Issue number1
DOIs
StatePublished - 1 Jan 2022

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF, https://www.nrf.re.kr/eng/index) grant funded by the Ministry of Science and ICT (No. 2020R1C1C1011369) and a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (No. HI21C1218) to Y.J. Kim, 2019M3C1B8090802, 2019M3C1B8090803 and 2020R1A2C2013216 to H.W. Lee. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Publisher Copyright:
© 2021 S. Karger AG, Basel. All rights reserved.

Keywords

  • COVID-19
  • Dementia
  • Early death
  • General logistic regression
  • Propensity score matching
  • Big data
  • Personalized medicine
  • Prediction model

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