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Predictors for imaging progression on chest CT from coronavirus disease 2019 (COVID-19) patients.
Yang, Zongguo; Shi, Jia; He, Zhang; Lü, Ying; Xu, Qingnian; Ye, Chen; Chen, Shishi; Tang, Bozong; Yin, Keshan; Lu, Yunfei; Chen, Xiaorong.
  • Yang Z; Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
  • Shi J; Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
  • He Z; Department of Neurology, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
  • Lü Y; Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
  • Xu Q; Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
  • Ye C; Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
  • Chen S; Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
  • Tang B; Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
  • Yin K; Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
  • Lu Y; Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
  • Chen X; Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Aging (Albany NY) ; 12(7): 6037-6048, 2020 04 10.
Article in English | MEDLINE | ID: covidwho-45873
ABSTRACT

OBJECTIVE:

This study aimed to investigate the potential parameters associated with imaging progression on chest CT from coronavirus disease 19 (COVID-19) patients.

RESULTS:

The average age of 273 COVID-19 patients enrolled with imaging progression were older than those without imaging progression (p = 0.006). The white blood cells, platelets, neutrophils and acid glycoprotein were all decreased in imaging progression patients (all p < 0.05), and monocytes were increased (p = 0.025). The parameters including homocysteine, urea, creatinine and serum cystatin C were significantly higher in imaging progression patients (all p < 0.05), while eGFR decreased (p < 0.001). Monocyte-lymphocyte ratio (MLR) was significantly higher in imaging progression patients compared to that in imaging progression-free ones (p < 0.001). Logistic models revealed that age, MLR, homocysteine and period from onset to admission were factors for predicting imaging progression on chest CT at first week from COVID-19 patients (all p < 0.05).

CONCLUSION:

Age, MLR, homocysteine and period from onset to admission could predict imaging progression on chest CT from COVID-19 patients.

METHODS:

The primary outcome was imaging progression on chest CT. Baseline parameters were collected at the first day of admission. Imaging manifestations on chest CT were followed-up at (6±1) days.
Subject(s)
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections Type of study: Prognostic study Limits: Female / Humans / Male / Middle aged Language: English Journal: Aging (Albany NY) Journal subject: Geriatrics Year: 2020 Document Type: Article Affiliation country: Aging.102999

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections Type of study: Prognostic study Limits: Female / Humans / Male / Middle aged Language: English Journal: Aging (Albany NY) Journal subject: Geriatrics Year: 2020 Document Type: Article Affiliation country: Aging.102999