Your browser doesn't support javascript.
Generalized additive mixed model to evaluate the association between total pulmonary infection volume and volume ratio, and clinical types, in patients with COVID-19 pneumonia: a propensity score analysis.
Zhang, Tingting; Li, Xiao; Ji, Xiang; Lu, Jianping; Fang, Xu; Bian, Yun.
  • Zhang T; Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
  • Li X; Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Ji X; Department of Radiology, Huoshenshan Hospital, Wuhan, 430000, Hubei, China.
  • Lu J; Shanghai United Imaging Intelligence Healthcare, Shanghai, China.
  • Fang X; Department of Radiology, Changhai Hospital, The Navy Military Medical University, Changhai road 168, Shanghai, 200434, China.
  • Bian Y; Department of Radiology, Changhai Hospital, The Navy Military Medical University, Changhai road 168, Shanghai, 200434, China. fx0412@foxmail.com.
Eur Radiol ; 31(10): 7342-7352, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1184662
ABSTRACT

OBJECTIVES:

To investigate the association between longitudinal total pulmonary infection volume and volume ratio over time and clinical types in COVID-19 pneumonia patients.

METHODS:

This retrospective review included 367 patients with COVID-19 pneumonia. All patients underwent CT examination at baseline and/or one or more follow-up CT. Patients were categorized into two clinical types (moderate and severe groups). The severe patients were matched to the moderate patients via propensity scores (PS). The association between total pulmonary infection volume and volume ratio and clinical types was analyzed using a generalized additive mixed model (GAMM).

RESULTS:

Two hundred and seven moderate patients and 160 severe patients were enrolled. The baseline clinical and imaging variables were balanced using PS analysis to avoid patient selection bias. After PS analysis, 172 pairs of moderate patients were allocated to the groups; there was no difference in the clinical and CT characteristics between the two groups (p > 0.05). A total of 332 patients, including 396 CT scans, were assessed. The impact of total pulmonary infection volume and volume ratio with time was significantly affected by clinical types (p for interaction = 0.01 and 0.01, respectively) using GAMM. Total pulmonary infection volume and volume ratio of the severe group increased by 14.66 cm3 (95% confidence interval [CI] 3.92 to 25.40) and 0.45% (95% CI 0.13 to 0.77) every day, respectively, compared to that of the moderate group.

CONCLUSIONS:

Longitudinal total pulmonary infection volume and volume ratio are independently associated with the clinical types of COVID-19 pneumonia. KEY POINTS • The impact of total pulmonary infection volume and volume ratio over time was significantly affected by the clinical types (p for interaction = 0.01 and 0.01, respectively) using the GAMM. • Total pulmonary infection volume and volume ratio of the severe group increased by 14.66 cm3 (95% CI 3.92 to 25.40) and 0.45% (95% CI 0.13 to 0.77) every day, respectively, compared to that of the moderate group.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Eur Radiol Journal subject: Radiology Year: 2021 Document Type: Article Affiliation country: S00330-021-07860-7

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Eur Radiol Journal subject: Radiology Year: 2021 Document Type: Article Affiliation country: S00330-021-07860-7