Evidence map›Paper›PMID 31806672›Full record

ArticleJournal of investigative medicine : the official publication of the American Federation for Clinical Research2020

Bedside clinical assessment predicts recurrence after hospitalization due to viral lower respiratory tract infection in young children.

Maria Arroyo, Kyle P Salka, Geovanny F Perez, Carlos E Rodriguez-Martinez, Jose A Castro-Rodriguez, Gustavo Nino

Open access · greenAbstract read
In one paragraph

Article in Journal of investigative medicine : the official publication of the American Federation for Clinical Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. The use of βERJ open research · 2020
    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

6 authors at 3 institutions in 3 countries.

Maria ArroyoPediatric Pulmonary and Sleep Medicine, Childrens National Medical Center, Washington, DC, USA marroyo@childrensnational.org.ORCID 0000-0001-8361-8217
Kyle P SalkaPediatric Pulmonary and Sleep Medicine, Childrens National Medical Center, Washington, DC, USA.
Geovanny F PerezDepartment of Pulmonary, Children's National Health System, Washington, DC, USA.ORCID 0000-0003-2843-6837
Carlos E Rodriguez-MartinezUniversidad Nacional de Colombia, Bogota, Colombia.
Jose A Castro-RodriguezDivision of Pediatrics, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Gustavo NinoChildrens National Medical Center, Washington, DC, USA.
Children's National · USPontificia Universidad Católica de Chile · CLUniversidad Nacional de Colombia · CO

Funding

THE HUMAN INFANT AIRWAY EPITHELIUM AND RECURRENT WHEEZING AFTER RV AND RSV INFECTIONR01HL141237 · NHLBI · CHILDREN'S RESEARCH INSTITUTE · PI NINO, GUSTAVO · 2019 to 2022
$2.8M
Exosomal miR-155 regulates airway epithelial immune responses in infants with rhinovirus infectionR21AI130502 · NIAID · CHILDREN'S RESEARCH INSTITUTE · PI NINO, GUSTAVO · 2017 to 2018
$495k
TSLP responses in the human infant airway epithelium and recurrent wheezing after RV and RSV InfectionR56HL141237 · NHLBI · CHILDREN'S RESEARCH INSTITUTE · PI NINO, GUSTAVO · 2018 to 2018
$442k
Imaging Biomarkers of Severe Respiratory Infections in Premature InfantsR41HL145669 · NHLBI · KITWARE, INC. · PI ENQUOBAHRIE, ANDINET ASMAMAW, LINGURARU, MARIUS GEORGE · 2018 to 2018
$225k
NHLBI NIH HHS R01 HL141237NHLBI NIH HHS R41 HL145669NHLBI NIH HHS R56 HL141237NIAID NIH HHS R21 AI130502
6 · The paper itself

Abstract

Infants requiring hospitalization due to a viral lower respiratory tract infection (LRTI) have a high risk of developing recurrent respiratory illnesses in early life and asthma beyond childhood. Notably, all validated clinical scales for viral LRTI have focused on predicting acute severity instead of recurrence. We present a novel clinical approach combining individual risk factors with bedside clinical parameters to predict recurrence after viral LRTI hospitalization in young children. A retrospective longitudinal cohort of young children (≤3 years) designed to define clinical predictive factors of recurrent respiratory illnesses within 12 months after hospitalization due to PCR-confirmed viral LRTI. Data collection was through electronic medical record. We included 138 children hospitalized with viral LRTI. Using automatic stepwise logistic model selection, we found that the strongest predictors of recurrence in infants hospitalized for the first time were severe prematurity (≤32 weeks' gestational age, OR=5.19; 95% CI 1.76 to 15.32; p=0.002) and a clinical score that weighted hypoxemia, subcostal retractions and wheezing (OR=3.33; 95% CI 1.59 to 6.98; p<0.001). After the first hospitalization, the strongest predictors of subsequent episodes were wheezing (OR=5.62; 95% CI 1.03 to 30.62; p=0.04) and family history of asthma (OR=5.39; 95% CI 1.04 to 27.96; p=0.04). We found that integrating individual risk factors (eg, prematurity or family history of asthma) with bedside clinical assessment (eg, wheezing, subcostal retractions or hypoxemia) can predict the risk of recurrence after viral LRTI hospitalization in infants. This strategy may enable clinically oriented subsetting of infants with viral LRTI based on individual predictors for recurrent respiratory illnesses during early life.

Indexed as

Pneumonia, ViralAsthmaChild, PreschoolFemaleHospitalizationHumansHypoxiaInfantInfant, PrematureLongitudinal StudiesMalePrognosisRecurrenceRespiratory SoundsRespiratory Tract InfectionsRetrospective Studiesasthmaclinical researchinfant, newborn, diseasesrespiratory tract diseases

Identifiers

PMID31806672
PMCPMC7336335
OpenAlexW2992699112

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.