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Analysis of Lactate Dehydrogenase Levels of COVID-19 Patients in a Korean Hospital According to Sex and Age

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 11 Number 4 (2022.12)바로가기
  • 페이지
    pp.260-265
  • 저자
    Sun Gyu Kim, Hee Seung Song, Jae Kyung Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A423269

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원문정보

초록

영어
This study aimed to determine whether lactate dehydrogenase (LDH) levels in coronavirus disease (COVID- 19) patients in Korea were higher than those in patients without COVID-19, and the effect of sex and age on LDH levels. A retrospective, observational study was conducted to measure LDH levels in 247 and 225 female and male COVID-19 patients, respectively, who were admitted to the study hospital between April 1 and October 30, 2020. Serum LDH levels were measured using an automated analyzer. Results: LDH levels were elevated in both male and female patients with COVID-19. Among patients with COVID-19, LDH levels were higher in males than in females, and LDH levels were higher in patients with COVID-19 than in patients in the control group. In the analysis of differences in LDH levels by age, LDH levels in patients with COVID-19 increased statistically significantly with age in males and females (males: p=0.001, females: p=0.001). By examining the differences in LDH levels according to sex and age, this study contributed to the basic biochemical data available in Korea, particularly regarding patients with COVID-19. Further research may be needed to examine confounding variables.

목차

Abstract
1. INTRODUCTION
2. THEORY
3. EXPERIMENTS
3.1 Methods
3.2 Lactate Dehydrogenase Test
3.3 Statistical Analysis
4. RESULTS
4.1 Characteristics of Patients with COVID-19 and Controls
4.2 Differences in Lactate Dehydrogenase Levels According to Sex
4.3 Differences in Lactate Dehydrogenase Levels According to Age
5. DISCUSSION
6. CONCLUSION
REFERENCES

키워드

SARS-CoV-2 COVID-19 Lactate Dehydrogenase Laboratory Tests

저자

  • Sun Gyu Kim [ Department of Medical Laser, Dankook University Graduate School of Medicine, Cheonan, Republic of Korea ]
  • Hee Seung Song [ Department of Nursing, Sangji University, Wonju, Republic of Korea ]
  • Jae Kyung Kim [ Department of Biomedical Laboratory Science, Dankook University, Cheonan, Republic of Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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