Heita Kitajima1, Tomonori Hirashima2, Hidekazu Suzuki2, Tsuyoshi Arai3, Yoshitaka Tamura4, Shoji Hashimoto3, Hiroshi Morishita5, Hiroto Matsuoka5, Yozo Kashiwa6, Yuki Han7, Seijiro Minamoto7, Toshio Tanaka8, Takayuki Nagai3. 1. Department of Infectious Diseases, Osaka Habikino Medical Center, Habikino, Osaka, 583-8588, Japan. Electronic address: m09036hk@jichi.ac.jp. 2. Department of Thoracic Oncology, Osaka Habikino Medical Center, Habikino, Osaka, 583-8588, Japan. 3. Department of Infectious Diseases, Osaka Habikino Medical Center, Habikino, Osaka, 583-8588, Japan. 4. Department of Clinical Laboratory, Osaka Habikino Medical Center, Habikino, Osaka, 583-8588, Japan. 5. Department of Respiratory Medicine, Osaka Habikino Medical Center, Habikino, Osaka, 583-8588, Japan. 6. Department of Intensive Care, Osaka Habikino Medical Center, Habikino, Osaka, 583-8588, Japan. 7. Department of Medicine for Allergic Diseases, Osaka Habikino Medical Center, Habikino, Osaka, 583-8588, Japan. 8. Medical Affairs Bureau, Osaka Habikino Medical Center, Habikino, Osaka, 583-8588, Japan.
Abstract
INTRODUCTION: Japan is facing the threat of medical system collapse due to the rapid spread of coronavirus disease 2019 (COVID-19). The present scoring system may help assess disease severity and oxygen supply requirements in COVID-19 patients. METHODS: Data on patient characteristics at baseline and throughout hospitalization for COVID-19 were extracted from medical records. Disease severity was dichotomized into two categories without or with oxygen supply as asymptomatic, mild, and moderate illness (AMMI), and severe and critical illness (CSI). The AMMI and CSI groups were compared. Predictors of disease severity, previously identified in the outpatient setting, were included in multivariable logistic regression analysis; the obtained coefficients were converted to integers and assigned a score. RESULTS: A total of 206 patients diagnosed with COVID-19 were included in this study. Correlation between COVID-19 severity and medical information was examined by comparing AMMI and CSI. Age, hemodialysis, and C-reactive protein (CRP) levels were candidate predictors of the need for oxygen supply in patients with COVID-19. Coefficients associated with age, hemodialysis, and CRP were as follows: 1 × age (in years, coded as 0 for values of <50, and as 1 for values of ≥50) + 1 × hemodialysis (coded as 0 for "no", and as 1 for "yes") + 1 × CRP (in mg/dL, coded as 0 for values of <1.0, and as 1 for values of ≥1.0). Patients with scores of ≥2 points required oxygen supply (sensitivity, 68.4%; specificity, 79.0%) CONCLUSION: The present model can help predict disease severity and oxygen requirements in COVID-19 patients in Japan.
INTRODUCTION: Japan is facing the threat of medical system collapse due to the rapid spread of coronavirus disease 2019 (COVID-19). The present scoring system may help assess disease severity and oxygen supply requirements in COVID-19patients. METHODS: Data on patient characteristics at baseline and throughout hospitalization for COVID-19 were extracted from medical records. Disease severity was dichotomized into two categories without or with oxygen supply as asymptomatic, mild, and moderate illness (AMMI), and severe and critical illness (CSI). The AMMI and CSI groups were compared. Predictors of disease severity, previously identified in the outpatient setting, were included in multivariable logistic regression analysis; the obtained coefficients were converted to integers and assigned a score. RESULTS: A total of 206 patients diagnosed with COVID-19 were included in this study. Correlation between COVID-19 severity and medical information was examined by comparing AMMI and CSI. Age, hemodialysis, and C-reactive protein (CRP) levels were candidate predictors of the need for oxygen supply in patients with COVID-19. Coefficients associated with age, hemodialysis, and CRP were as follows: 1 × age (in years, coded as 0 for values of <50, and as 1 for values of ≥50) + 1 × hemodialysis (coded as 0 for "no", and as 1 for "yes") + 1 × CRP (in mg/dL, coded as 0 for values of <1.0, and as 1 for values of ≥1.0). Patients with scores of ≥2 points required oxygen supply (sensitivity, 68.4%; specificity, 79.0%) CONCLUSION: The present model can help predict disease severity and oxygen requirements in COVID-19patients in Japan.
Authors: Lei Zhu; Jane W Marsh; Marissa P Griffith; Kevin Collins; Vatsala Srinivasa; Kady Waggle; Daria Van Tyne; Graham M Snyder; Tung Phan; Alan Wells; Oscar C Marroquin; Lee H Harrison Journal: PLoS One Date: 2022-07-12 Impact factor: 3.752