Evidence map›Paper›PMID 31418813›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Factors Associated With Fatality Due to Avian Influenza A(H7N9) Infection in China.

Shufa Zheng, Qianda Zou, Xiaochen Wang, Jiaqi Bao, Fei Yu, Feifei Guo, Peng Liu, Yinzhong Shen, Yimin Wang, Shigui Yang and 5 more

Open access · greenAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 38 citations in OpenAlex.

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  13. Comparison of acute respiratory distress syndrome in patients with COVID-19 and influenza A (H7N9) virus infection.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  14. Article
  15. Article
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  17. Novel Avian Influenza A Virus Infections of Humans.Infectious disease clinics of North America · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 2 countries.

Shufa ZhengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Qianda ZouKey Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Zhejiang University, Hangzhou, People's Republic of China.
Xiaochen WangKey Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Zhejiang University, Hangzhou, People's Republic of China.
Jiaqi BaoKey Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Zhejiang University, Hangzhou, People's Republic of China.
Fei YuKey Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Zhejiang University, Hangzhou, People's Republic of China.
Feifei GuoDepartment of Infectious Diseases, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, People's Republic of China.
Peng LiuDepartment of Infectious Diseases, Second Hospital of Ningbo, Ningbo, People's Republic of China.
Yinzhong ShenDepartment of Infectious and Immune Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Yimin WangDepartment of Pulmonary and Critical Care Medicine, Center for Respiratory Diseases, National Clinical Research Center of Respiratory Diseases, China-Japan Friendship Hospital, Beijing, People's Republic of China.
Shigui YangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Wei WuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Jifang ShengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Dhanasekaran VijaykrishnaDepartment of Microbiology, Biomedicine Discovery Institute, Monash University, Victoria, Australia.
Hainv GaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Yu ChenState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
State Key Laboratory of Diagnosis and Treatment of Infectious DiseasesZhejiang University · CNZhejiang Shuren University · CNAustralian Regenerative Medicine Institute · AUChina-Japan Friendship Hospital · CNShanghai Public Health Clinical Center · CN

Funding

NIAID NIH HHS HHSN272201400006C
6 · The paper itself

Abstract

backgroundThe high case fatality rate of influenza A(H7N9)-infected patients has been a major clinical concern.

methodsTo identify the common causes of death due to H7N9 as well as identify risk factors associated with the high inpatient mortality, we retrospectively collected clinical treatment information from 350 hospitalized human cases of H7N9 virus in mainland China during 2013-2017, of which 109 (31.1%) had died, and systematically analyzed the patients' clinical characteristics and risk factors for death.

resultsThe median age at time of infection was 57 years, whereas the median age at time of death was 61 years, significantly older than those who survived. In contrast to previous studies, we found nosocomial infections comprising Acinetobacter baumannii and Klebsiella most commonly associated with secondary bacterial infections, which was likely due to the high utilization of supportive therapies, including mechanical ventilation (52.6%), extracorporeal membrane oxygenation (14%), continuous renal replacement therapy (19.1%), and artificial liver therapy (9.7%). Age, time from illness onset to antiviral therapy initiation, and secondary bacterial infection were independent risk factors for death. Age >65 years, secondary bacterial infections, and initiation of neuraminidase-inhibitor therapy after 5 days from symptom onset were associated with increased risk of death.

conclusionsDeath among H7N9 virus-infected patients occurred rapidly after hospital admission, especially among older patients, followed by severe hypoxemia and multisystem organ failure. Our results show that early neuraminidase-inhibitor therapy and reduction of secondary bacterial infections can help reduce mortality.Characterization of 350 hospitalized avian influenza A(H7N9)-infected patients in China shows that age >65 years, secondary bacterial infections, and initiation of neuraminidase-inhibitor therapy after 5 days from symptom onset were associated with increased risk of death.

Indexed as

Influenza A Virus, H7N9 SubtypeInfluenza, HumanInfluenza in BirdsAgedAnimalsChinaHumansMiddle AgedRetrospective StudiesH7N9influenzarisk factorszoonotic infection

Identifiers

PMID31418813
PMCPMC8127055
OpenAlexW2968726804

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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.