Evidence map›Paper›PMID 36865899›Full record

ArticleGlobal health & medicine2023

High-flow nasal cannula for severe COVID-19 patients in a Japanese single-center, retrospective, observational study: 1 year of clinical experience.

Takashi Katsuno, Manabu Suzuki, Momoko Morishita, Kazuki Kawajiri, Susumu Saito, Yuriko Horikawa, Yuriko Ueki, Yoh Yamaguchi, Hiroshi Takumida, Hiromu Watanabe and 12 more

Open access · bronzeAbstract read
In one paragraph

Article in Global health & medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

22 authors at 1 institution in 1 country.

Takashi KatsunoDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Manabu SuzukiDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Momoko MorishitaDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Kazuki KawajiriDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Susumu SaitoDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Yuriko HorikawaDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Yuriko UekiDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Yoh YamaguchiDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Hiroshi TakumidaDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Hiromu WatanabeDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Chie MoritaDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Akinari TsukadaDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Yusaku KusabaDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Yoshie TsujimotoDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Akane IshidaDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Keita SakamotoDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Masao HashimotoDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Junko TeradaDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Jin TakasakiDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Shinyu IzumiDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Masayuki HojoDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Haruhito SugiyamaDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
National Center for Global Health and Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-flow nasal cannula (HFNC) can be effective in treating type 1 respiratory failure by reducing the severity of coronavirus disease 2019 (COVID-19). The purpose of this study was to assess the reduction of disease severity and safety of HFNC treatment in patients with severe COVID-19. We retrospectively observed 513 consecutive patients with COVID-19 admitted to our hospital from January 2020 to January 2021. We included patients with severe COVID-19 who received HFNC for their deteriorating respiratory status. HFNC success was defined as improvement in respiratory status after HFNC and transfer to conventional oxygen therapy, while HFNC failure was defined as transfer to non-invasive positive pressure ventilation or ventilator, or death after HFNC. Predictive factors associated with failure to prevent severe disease were identified. Thirty-eight patients received HFNC. Twenty-five (65.8%) patients were classified in the HFNC success group. In the univariate analysis, age, history of chronic kidney disease (CKD), non-respiratory sequential organ failure assessment (SOFA) ≥ 1, oxygen saturation to fraction of inspired oxygen ratio (SpO

Indexed as

acute respiratory failureCOVID-19high flow nasal cannulaSARS-CoV-2

Identifiers

PMID36865899
PMCPMC9974223
OpenAlexW4315778110

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.