Early Identification and Severity Prediction of Acute Respiratory Infectious Disease

NCT ID: NCT04955756

Last Updated: 2022-05-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

440 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-04-04

Study Completion Date

2024-12-31

Brief Summary

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Early identification and Severity prediction of Acute Respiratory infectious disease has become a top priority for clinicians at department of infectious and respiratory diseases after COVID-19 broke out. This is a multicenter, prospective, and randomized study, which aims to figure out the best way of early identification and severity prediction of acute respiratory infectious diseases. Patients with suspected acute respiratory infectious diseases will be enrolled into this study and received two different diagnostic pathways.

Detailed Description

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Conditions

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Acute Respiratory Infection Severe Pneumonia Next Generation Sequencing Multiplex PCR

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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mNGS group

Group Type EXPERIMENTAL

mNGS

Intervention Type DIAGNOSTIC_TEST

Participants will be randomized to receive mNGS or multiplex PCR for diagnosis at enrollment.

PCR group

Group Type EXPERIMENTAL

Multiplex PCR

Intervention Type DIAGNOSTIC_TEST

Participants will be randomized to receive mNGS or multiplex PCR for diagnosis at enrollment.

Interventions

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mNGS

Participants will be randomized to receive mNGS or multiplex PCR for diagnosis at enrollment.

Intervention Type DIAGNOSTIC_TEST

Multiplex PCR

Participants will be randomized to receive mNGS or multiplex PCR for diagnosis at enrollment.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

1. Patients aged between 18 and 80 years old
2. No limits in gender
3. Patients who are newly present with cough, sputum, or exacerbated with pyogenic sputum, with or without chest pain within 2 weeks;
4. Patients who meet at least one of the following 4 requirements:

1. fever;
2. Sign of pulmonary consolidation or wet wales
3. WBC\>10×10\^9/L or \<4×10\^9/L;
4. patchy, infiltrating shadows or interstitial changes, with or without pleural effusion on chest radiological examination.

Exclusion Criteria

1. Highly suspected or diagnosed pulmonary non-infectious disease (Tumor, Immune disease, etc.) without evidence for infection;
2. Pathogen has been identified without evidence for co-infection;
3. Insufficiency of respiratory and blood samples;
4. Patients who are unable to collaborate due to physical or mental disorders;
5. Patients who have been engaged to other clinical trials;
6. Any conditions make it unsafe for the subject to participate;
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Huashan Hospital

OTHER

Sponsor Role lead

Responsible Party

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Wen-hong Zhang

chairman of the infectious disease department

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Wenhong Zhang, Prof

Role: STUDY_CHAIR

Department of Infectious disease, Huashan Hospital, Fudan University

Locations

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Central Hospital of Jingan District

Shanghai, Shanghai Municipality, China

Site Status NOT_YET_RECRUITING

Department of Infectious Disease, Huashan Hospital

Shanghai, Shanghai Municipality, China

Site Status RECRUITING

Central Hospital of Minhang District

Shanghai, Shanghai Municipality, China

Site Status NOT_YET_RECRUITING

Countries

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China

Central Contacts

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Hongyu Wang, Dr

Role: CONTACT

17717366509

Jingwen Ai, Dr

Role: CONTACT

Facility Contacts

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Wenhong Zhang, Prof

Role: primary

021-61578000

Hongyu Wang

Role: primary

17717366509

Xiang Li, Prof

Role: primary

021-64923400

References

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Yuan G, Wang H, Zhao Y, Mao E, Li M, Wang R, Zhou F, Jin S, Zhang Z, Xu K, Xu J, Liang S, Li X, Jiang L, Zhang L, Song J, Yang T, Guo J, Zhang H, Zhou Y, Wang S, Qiu C, Jiang N, Ai J, Wu J, Zhang W. Early identification and severity prediction of acute respiratory infection (ESAR): a study protocol for a randomized controlled trial. BMC Infect Dis. 2022 Jul 20;22(1):632. doi: 10.1186/s12879-022-07552-7.

Reference Type DERIVED
PMID: 35858876 (View on PubMed)

Other Identifiers

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ESAR

Identifier Type: -

Identifier Source: org_study_id

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