CT Scores Predict Mortality in 2019-nCoV Pneumonia

Sponsor
Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine (Other)
Overall Status
Completed
CT.gov ID
NCT04284046
Collaborator
(none)
39
1
18
65.9

Study Details

Study Description

Brief Summary

While 2019-nCoV nucleic acid swab tests has high false positives rate, How to diagnose 2019-nCoV pneumonia and predict prognosis by CT is very important.In this retrospective single-center study, we consecutively included suspected 2019-nCoV pneumonia critical cases in the intensive care unit of Wuhan third hospital from January 31, 2020 to February 16, 2020. The cases were confirmed by real-time RT-PCR, and all patients were evaluated with CT, cutoff values were obtained according to the Yoden index, and were divided into high CT score group and low CT score group. Epidemiological, demographic, clinical, and laboratory data were collected.

Condition or Disease Intervention/Treatment Phase
  • Other: CT score

Study Design

Study Type:
Observational
Actual Enrollment :
39 participants
Observational Model:
Cohort
Time Perspective:
Retrospective
Official Title:
CT Scores Predict Mortality in 2019-nCoV Pneumonia
Actual Study Start Date :
Jan 31, 2020
Actual Primary Completion Date :
Feb 18, 2020
Actual Study Completion Date :
Feb 18, 2020

Arms and Interventions

Arm Intervention/Treatment
High CT score

Other: CT score
CT score = normal lung tissue (%) ×1 + GGO (%) ×2 + consolidation (%) ×3

Low CTscore

Other: CT score
CT score = normal lung tissue (%) ×1 + GGO (%) ×2 + consolidation (%) ×3

Outcome Measures

Primary Outcome Measures

  1. 7-day mortality [7-day]

Eligibility Criteria

Criteria

Ages Eligible for Study:
N/A and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • all patients suspected of 2019 novel coronavirus infection.
Exclusion Criteria:
  • patients' data are not available.

Contacts and Locations

Locations

Site City State Country Postal Code
1 Wuhan third hospital Wuhan Hubei China

Sponsors and Collaborators

  • Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Ruilan Wang, PhD, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
ClinicalTrials.gov Identifier:
NCT04284046
Other Study ID Numbers:
  • CT2019-nCoV
First Posted:
Feb 25, 2020
Last Update Posted:
Feb 25, 2020
Last Verified:
Feb 1, 2020
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Feb 25, 2020