Evidence map›Paper›PMID 36910457›Full record

ArticleCritical care explorations2023

Urinary L-Type Fatty Acid-Binding Protein Predicts Oxygen Demand of COVID-19 in Initially Mild Cases.

Daisuke Katagiri, Yusuke Asai, Norio Ohmagari, Masahiro Ishikane, Sayaka Hikida, Noriko Iwamoto, Maki Nagashima, Minami Suzuki, Hideki Takano, Jin Takasaki and 12 more

Registry-linked trialAbstract read
In one paragraph

Article in Critical care explorations, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04681040 (Monitoring of COVID-19 Using Urine POC Kit), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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.

NCT04681040 unknown statusnot on this map

Monitoring of COVID-19 Using Urine POC Kit

TypeobservationalSponsorNational Center for Global Health and Medicine, JapanRan2020 to 2024Enrolled964ConditionsCovid19, Urine, Biomarker, Acute Respiratory Failure With Hypoxia
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Urine oxygenation predicts COVID-19 risk.Clinical and experimental nephrology · 2024
    Review
  4. Article
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.

Daisuke KatagiriDepartment of Nephrology, National Center for Global Health and Medicine, Tokyo, Japan.
Yusuke AsaiAntimicrobial Resistance Clinical Reference Center, Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Norio OhmagariDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Masahiro IshikaneDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Sayaka HikidaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Noriko IwamotoDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Maki NagashimaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Minami SuzukiDepartment of Nephrology, National Center for Global Health and Medicine, Tokyo, Japan.
Hideki TakanoDepartment of Nephrology, National Center for Global Health and Medicine, Tokyo, Japan.
Jin TakasakiDepartment 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.
Katsushi TokunagaCentral Biobank, National Center Biobank Network, National Center for Global Health and Medicine, Tokyo, Japan.
Yoshihiro MiyashitaDepartment of Respiratory Medicine, Yamanashi Prefecture Central Hospital, Yamanashi, Japan.
Masao OmataDepartment of Respiratory Medicine, Yamanashi Prefecture Central Hospital, Yamanashi, Japan.
Keiichi OhataTime Well Medical, Tokyo, Japan.
Kevin P BlidenSinai Center for Thrombosis Research, Department of Medicine, Sinai Hospital of Baltimore, Baltimore, MD.
Udaya S TantrySinai Center for Thrombosis Research, Department of Medicine, Sinai Hospital of Baltimore, Baltimore, MD.
Jeffrey R DahlenHikari Dx., Inc, San Diego, CA.
Takeshi SugayaTime Well Medical, Tokyo, Japan.
Paul A GurbelSinai Center for Thrombosis Research, Department of Medicine, Sinai Hospital of Baltimore, Baltimore, MD.
Eisei NoiriCentral Biobank, National Center Biobank Network, National Center for Global Health and Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of illness trajectory in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infected patients is crucial for patients and healthcare workers. An effective, noninvasive approach, with simple measurement for decision-making, is necessary in a pandemic to discriminate between high- and low-risk patients, even though both groups may exhibit mild symptoms in the beginning.

objectivesTo predict COVID-19 disease severity within 10 days, distinguishing cases that will progress to moderate or severe versus mild, patient urinary L-type fatty acid-binding protein (L-FABP) was assayed within 4 days of receiving a diagnosis. The study also examined whether L-FABP point of care (POC) test is helpful in risk screening.

designSymptomatic subjects who tested positive for SARS-CoV-2 and were hospitalized were prospectively enrolled at the National Center for Global Health and Medicine (NCGM), Yamanashi Prefectural Central Hospital (YPCH), and Sinai Hospital in Maryland. The outcome of each case was evaluated 7 days after admission and the diagnostic performance of L-FABP was assessed. SETTING AND

participantsSubjects were treated for COVID-19 at public healthcare centers in Japan from January 31, 2020, to January 31, 2021, to NCGM, YPCH, and at Sinai Hospital in Baltimore, MD, during the same period. MAIN OUTCOMES AND MEASURES: The primary outcome was to determine whether urinary L-FABP within 48 hours of admission can predict the patient's severity of COVID-19 1 week later. We obtained demographic data, information on clinical symptoms, radiographic images, and laboratory data.

resultsDiagnostic performance was assessed using receiver operating characteristic analysis. Of the 224 participants in the study, 173 initially had a mild form of COVID-19. The area under the curve (AUC) for a severe outcome was 93.5%. L-FABP POC risk prediction of a severe outcome had an AUC of 88.9%. CONCLUSIONS AND RELEVANCE: Urinary L-FABP can predict patient risk of COVID-19 illness severity. L-FABP POC is implementable for patient management. (ClinicalTrials.gov number, NCT04681040).

Identifiers

PMID36910457
PMCPMC10005822

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Registered trials

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.