A Novel Nomogram to Predict Severity of COVID-19
NCT04366024 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1000
Last updated 2024-02-23
Summary
Investigators use clinical data from a large sample of COVID-19 disease patients to screen out biomarkers associated with disease severity. Then, a novel nomogram model will be established to predict covid-19 disease severity, which could provide important assistance and supplement for clinical work. In the case of extremely shortage of front-line medical resources, patients with potential severe diseases will be timely treated with the help of the novel nomogram model.
Conditions
- COVID-19 Disease
- Nomogram Model
Interventions
- OTHER
-
other
clinical diagnosis
Sponsors & Collaborators
-
Xinqiao Hospital of Chongqing
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-01-17
- Primary Completion
- 2020-08-30
- Completion
- 2021-12-31
Countries
- China
Study Locations
More Related Trials
-
Prospective Hospital Registry of Patients With Suspected or Confirmed Coronavirus Infection (COVID-19) and Community-acquired Pneumonia
NCT04522076 ·Status: ACTIVE_NOT_RECRUITING
-
Clinical Study of Transcriptome-based Diagnostic Biomarker for Acute Febrile Illness
NCT06552975 ·Status: RECRUITING
-
Markers of Severity (CD177,S100A8 &S100A12) in Sever Acute Respiratory Syndrome Coronavirus 2(SARS-COV-2) Patients
NCT05201625 ·Status: UNKNOWN ·Phase: NA
-
COVID19 Severity Prediction and Health Services Research Evaluation
NCT04463706 ·Status: COMPLETED
-
A Study on the Prospective Cohort Library of COVID-19 in Southeran
NCT04342702 ·Status: UNKNOWN
-
Validation of Prognostic Clinical Risk Scores in Predicting Outcome for Patients With COVID-19 at Initial Triage
NCT05582382 ·Status: UNKNOWN
-
Clinical, Immunological, Genomic, Virological and Bioethical Actors of COVID-19
NCT04505709 ·Status: UNKNOWN
-
Next-generation Sequencing Technology in the Clinical Application of Respiratory Specimens
NCT07191080 ·Status: ENROLLING_BY_INVITATION
-
Detect Novel Pathogens and Characterize Emerging Infections
NCT01979705 ·Status: UNKNOWN
-
Clinical Progressive Characteristics and Treatment Effects of 2019-novel Coronavirus
NCT04292327 ·Status: UNKNOWN
-
Prognostic Score in Covid-19
NCT04780373 ·Status: COMPLETED
-
COVID-EC Study: Clinical Characteristics of Patients With COVID-19 in Guayaquil, Ecuador
NCT04362969 ·Status: UNKNOWN
-
Clinical, Virological, Serological and Immunological Characteristics During and Following COVID-19 Hospitalization
NCT05274373 ·Status: UNKNOWN
-
Survey of COVID-19 Infection
NCT05706064 ·Status: COMPLETED
-
Comorbidities and Risk Score in COVID-19 Patients
NCT04670094 ·Status: COMPLETED
-
Clinical and Biological Predictors of COVID-19 Disease in Older Patients
NCT04348396 ·Status: RECRUITING
-
COVID-19. CT-Scan Modeling in COVID19 Sequelae
NCT04747769 ·Status: UNKNOWN
-
The Predictive Value of Molecular Diagnostic Techniques in the Antimicrobial- Resistance Phenotypes of Pathogens
NCT07035535 ·Status: ENROLLING_BY_INVITATION
-
Respiratory Virus Metagenomics After COVID-19
NCT05126589 ·Status: RECRUITING
-
Assessment of the Effectiveness of a Prototype Diagnostic System of Bacterial Respiratory Infections Based on Real-time Sequencing
NCT07303400 ·Status: ACTIVE_NOT_RECRUITING
-
The Efficacy of Different Hormone Doses in 2019-nCoV Severe Pneumonia
NCT04263402 ·Status: UNKNOWN ·Phase: PHASE4
-
Biomarkers for Dexamethasone Response in Sars-Cov-2 / COVID-19 Pneumonia
NCT04619693 ·Status: TERMINATED
-
Biomarkers for Identification of COVID-19 Infection
NCT04322513 ·Status: UNKNOWN
-
Analysis of Laboratory Markers for Severe COVID-19
NCT06460753 ·Status: COMPLETED
-
Model to Predict Coinfection in Elderly Patients With COVID-19
NCT06321367 ·Status: COMPLETED