Evidence map›Paper›PMID 32709280›Full record

Trial reportThe American journal of the medical sciences2020

Clinical Characteristics and Predictors of Disease Progression in Severe Patients with COVID-19 Infection in Jiangsu Province, China: A Descriptive Study.

Mao Huang, Yi Yang, Futai Shang, Yishan Zheng, Wenjing Zhao, Liang Luo, Xudong Han, Aihua Lin, Hongsheng Zhao, Qing Gu and 7 more

Erratum issuedOpen access · bronzeAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in The American journal of the medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 7 pooled it
1.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 7 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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  14. Role of proning and positive end-expiratory pressure in COVID-19.World journal of critical care medicine · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 10 institutions in 1 country.

Mao HuangDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yi YangDepartment of Critical Care Medicine, Zhongda Hospital of Southeast University, Nanjing, China.
Futai ShangDepartment of Critical Care Medicine, the Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, China.
Yishan ZhengDepartment of Critical Care Medicine, Nanjing No.2 Hospital, Nanjing, China.
Wenjing ZhaoDepartment of Critical Care Medicine, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Liang LuoDepartment of Critical Care Medicine, Wuxi No. 2 People's Hospital, Wuxi, China.
Xudong HanDepartment of Critical Care Medicine, the Third People's Hospital of Nantong City, Affiliated to Nantong University, Nantong, China.
Aihua LinDepartment of Critical Care Medicine, Suqian People's Hospital of Nanjing Gulou Hospital Group, Suqian, China.
Hongsheng ZhaoDepartment of Critical Care Medicine, the Affiliated Hospital of Nantong University, Nantong, China.
Qing GuDepartment of Critical Care Medicine, Nanjing Drum Tower Hospital, the Affiliated of Nanjing University Medical School, Nanjing, China.
Yi ShiDepartment of Pulmonary and Critical Care Medicine, Nanjing Jinlin Hospital, Nanjing, China.
Jun LiDepartment of Infectious Diseases, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xingxiang XuDepartment of Pulmonary and Critical Care Medicine, Northern Jiangsu People's Hospital, Yangzhou, China.
Kexi LiuDepartment of Critical Care Medicine, Lianyungang First People's Hospital, Lianyungang, China.
YiJun DengDepartment of Critical Care Medicine, Yancheng First People's Hospital, Yancheng, China.
Quan CaoDepartment of Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China. Electronic address: 2004caoquan@163.com.
Weiwei WangDepartment of Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China. Electronic address: wangweiwei199203@163.com.
Nantong University · CNJiangsu Province Hospital · CNNanjing Medical University · CNHuaian First People’s Hospital · CNNanjing Drum Tower Hospital · CNNorthern Jiangsu People's Hospital · CNThe First People’s Hospital of Lianyungang · CNWuxi No.2 People's Hospital · CNXuzhou Medical College · CNZhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe studied patients with coronavirus disease 2019 (COVID-19) infected by severe acute respiratory syndrome coronavirus 2, a virus that originated in Wuhan, China, and is spreading over the country including Jiangsu Province. We studied the clinical characteristics and therapies of severe cases in Jiangsu Province.

methodsA multicenter retrospective cohort study was conducted to analyze clinical, laboratory data and treatment of 60 severe cases with COVID-19 infection in Jiangsu Province between January 24, 2020 and April 20, 2020. The improvement and deterioration subgroups were compared to identify predictors of disease progression.

resultsA total of 653 infected cases with COVID-19 were reported in Jiangsu Province, of which 60 severe cases were included in this study. Up until April 20, 2020, the mortality of severe patients was 0%. The median age was 57 years. The average body mass index of these patients was 25 kg/m². White blood cell counts decreased in 45.0% of patients, lymphopenia in 63.3%, thrombocytopenia in 13.3% and procalcitonin levels in 88.3% of the patients were less than 0.5 ng/mL. There were no statistically significant differences in immunoglobulin therapy and GCs therapy between the improvement and deterioration subgroups. Logistic regression analysis identified higher levels of troponin T (odds ratio [OR]: 1.04; 95% confidence interval [CI]: 1.00-1.08; P = 0.04), antiviral therapy with aerosol inhalation of interferon (OR: 6.33; 95% CI: 1.18-33.98; P = 0.03), and the application of non-invasive mechanical ventilation (OR: 1.99; 95%CI: 1.17-3.41; P = 0.01) as predictors of disease progression, whereas higher lymphocyte count (OR: 0.11; 95% CI: 0.02-0.57; P = 0.01) and early prone ventilation were associated with improvement (OR: 0.11; 95% CI: 0.01-0.98; P = 0.04).

conclusionsCOVID-19 infection had a low mortality rate in Jiangsu Province, China. The higher levels of troponin T and lower lymphocyte count were predictors of disease progression. Early prone ventilation may be an effective treatment for severe cases.

Indexed as

BetacoronavirusCoronavirus InfectionsPandemicsPneumonia, ViralRespiratory Distress SyndromeAdultAgedAged, 80 and overChinaCOVID-19FemaleHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2COVID-19Critical careDisease progressionSevere patients

Identifiers

PMID32709280
PMCPMC7837328
OpenAlexW3031168940

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.