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Longitudinal trajectories of pneumonia lesions and lymphocyte counts associated with disease severity among convalescent COVID-19 patients: a group-based multi-trajectory analysis.
Shi, Nannan; Huang, Chao; Zhang, Qi; Shi, Chunzi; Liu, Fengjun; Song, Fengxiang; Hou, Qinguo; Shen, Jie; Shan, Fei; Su, Xiaoming; Liu, Cheng; Zhang, Zhiyong; Shi, Lei; Shi, Yuxin.
  • Shi N; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
  • Huang C; Shanghai Key Laboratory of Artificial Intelligence for Medical Image and Knowledge Graph, Shanghai, 200051, China.
  • Zhang Q; Institute of Healthcare Research, Yizhi, Shanghai, China.
  • Shi C; Shanghai Key Laboratory of Artificial Intelligence for Medical Image and Knowledge Graph, Shanghai, 200051, China. qizhang.fdu@gmail.com.
  • Liu F; Institute of Healthcare Research, Yizhi, Shanghai, China. qizhang.fdu@gmail.com.
  • Song F; Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China. qizhang.fdu@gmail.com.
  • Hou Q; School of Communication and Information Engineering, Shanghai University, Shanghai, China. qizhang.fdu@gmail.com.
  • Shen J; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
  • Shan F; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
  • Su X; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
  • Liu C; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
  • Zhang Z; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
  • Shi L; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
  • Shi Y; Institute of Healthcare Research, Yizhi, Shanghai, China.
BMC Pulm Med ; 21(1): 233, 2021 Jul 13.
Article in English | MEDLINE | ID: covidwho-1309908
ABSTRACT

BACKGROUND:

To explore the long-term trajectories considering pneumonia volumes and lymphocyte counts with individual data in COVID-19.

METHODS:

A cohort of 257 convalescent COVID-19 patients (131 male and 126 females) were included. Group-based multi-trajectory modelling was applied to identify different trajectories in terms of pneumonia lesion percentage and lymphocyte counts covering the time from onset to post-discharge follow-ups. We studied the basic characteristics and disease severity associated with the trajectories.

RESULTS:

We characterised four distinct trajectory subgroups. (1) Group 1 (13.9%), pneumonia increased until a peak lesion percentage of 1.9% (IQR 0.7-4.4) before absorption. The slightly decreased lymphocyte rapidly recovered to the top half of the normal range. (2) Group 2 (44.7%), the peak lesion percentage was 7.2% (IQR 3.2-12.7). The abnormal lymphocyte count restored to normal soon. (3) Group 3 (26.0%), the peak lesion percentage reached 14.2% (IQR 8.5-19.8). The lymphocytes continuously dropped to 0.75 × 109/L after one day post-onset before slowly recovering. (4) Group 4 (15.4%), the peak lesion percentage reached 41.4% (IQR 34.8-47.9), much higher than other groups. Lymphopenia was aggravated until the lymphocytes declined to 0.80 × 109/L on the fourth day and slowly recovered later. Patients in the higher order groups were older and more likely to have hypertension and diabetes (all P values < 0.05), and have more severe disease.

CONCLUSIONS:

Our findings provide new insights to understand the heterogeneous natural courses of COVID-19 patients and the associations of distinct trajectories with disease severity, which is essential to improve the early risk assessment, patient monitoring, and follow-up schedule.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Convalescence / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adult / Female / Humans / Male / Middle aged Language: English Journal: BMC Pulm Med Year: 2021 Document Type: Article Affiliation country: S12890-021-01592-6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Convalescence / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adult / Female / Humans / Male / Middle aged Language: English Journal: BMC Pulm Med Year: 2021 Document Type: Article Affiliation country: S12890-021-01592-6