Clinical Progressive Characteristics and Treatment Effects of 2019-novel Coronavirus (2019-nCoV)
Clinical Progressive Characteristics and Treatment Effects of 2019-novel Coronavirus(2019-nCoV)
Objects: The purpose of this study was to observe the characteristics of morbidity, disease progression and therapeutic effects of 2019-novel coronavirus pneumonia patients with different clinical types.
Method: A single center, retrospective and observational study was used to collect COVID-19 patients admitted to Wuhan Infectious Diseases Hospital (Wuhan JinYinTan Hospital) from January 2020 to March 2020. The general information, first clinical symptoms, hospitalization days, laboratory examination, CT examination, antiviral drugs, immune enhancers, traditional Chinese medicine treatment and other clinical intervention measures were recorded, and the nutritional status and prognosis of the patients were recorded. confirm COVID-19 's disease progression, clinical characteristics, disease severity and treatment effects. To compare the characteristics of disease progression, clinical features, disease severity and therapeutic effect of different types of COVID-19.
Outcomes: The characteristics of disease progression, clinical features, disease severity and therapeutic effect of different types of COVID-19.
Conclusion: The characteristics of disease progression, clinical features and therapeutic effect of different types of COVID-19.
연구 개요
상태
상세 설명
Since December 2019, patients with unexplained pneumonia have appeared in some medical institutions in Wuhan, China. Nucleic acid testing was completed on January 10, 2020, which was confirmed to be caused by 2019-novel coronavirus. In 2020, the World Health Organization(WHO) named the virus 2019-novel coronavirus(2019-nCoV). The WHO announced that the pneumonia caused by 2019-nCoV is officially called COVID-19. Today, more than 70,000 cases have been confirmed and more than 2,000 patients have died.
At present, the epidemiological characteristics, laboratory indicators, imaging features and clinical treatment effects of COVID-19 should be reported, but the sample size is small. Large sample studies are still needed to further confirm COVID-19 's disease progression, clinical characteristics, disease severity and treatment effects, so as to provide a scientific basis for future clinical treatment. Therefore, it is particularly important to further review the relationship between the characteristics and prognosis of such patients.
연구 유형
등록 (예상)
연락처 및 위치
연구 장소
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Fujian
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Fuzhou, Fujian, 중국, 350000
- Fujian Provincial Hospital
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참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
샘플링 방법
연구 인구
설명
Inclusion criteria.
- 2019-nCov (SARA-Cov-2) nucleic acid positive detected by PCR.
- Older than 18 years old and younger than 75 years old.
- Meet the diagnostic criteria of COVID-19 for different types (including ordinary type, heavy type and critical type)
Exclusion criteria.
- the age is less than 18 years old;
- pregnant or lactating women;
- severe underlying diseases, such as advanced malignant tumor, end-stage lung disease, etc.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 관찰 모델: 다른
- 시간 관점: 회고전
코호트 및 개입
그룹/코호트 |
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The ordinary COVID-19
Consistent with the diagnosis of ordinary COVID-19.
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The heavy COVID-19.
Consistent with the diagnosis of heavy COVID-19.
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The critical COVID-19
Consistent with the diagnosis of critical COVID-19
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Mortality
기간: 28 day
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The mortality of COVID-19 in 28 days
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28 day
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The time interval of Nucleic acid detection become negative
기간: 28 day
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The time interval of COVID-19 form nucleic acid confirmed to the nucleic acid detection turn into negative.
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28 day
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공동 작업자 및 조사자
수사관
- 수석 연구원: Xiuling Shang, Fujian Provincial Hospital
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (예상)
연구 완료 (예상)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
추가 관련 MeSH 약관
기타 연구 ID 번호
- KY-2020-24.01
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
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