Evidence map›Paper›PMID 32970023›Full record

ArticlePediatric emergency care2020

Distinguishing Multisystem Inflammatory Syndrome in Children From Kawasaki Disease and Benign Inflammatory Illnesses in the SARS-CoV-2 Pandemic.

Daniel J Corwin, Laura F Sartori, Kathleen Chiotos, Audrey R Odom John, Keri Cohn, Hamid Bassiri, Edward M Behrens, David T Teachey, Sarah E Henrickson, Caroline J Diorio and 2 more

Open access · greenAbstract read
In one paragraph

Article in Pediatric emergency care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Daniel J CorwinFrom the Divisions of Emergency Medicine.
Laura F SartoriFrom the Divisions of Emergency Medicine.
Kathleen Chiotos
Audrey R Odom JohnInfectious Diseases.
Keri CohnFrom the Divisions of Emergency Medicine.
Hamid BassiriInfectious Diseases.
Edward M BehrensRheumatology.
David T TeacheyOncology.
Sarah E HenricksonAllergy and Immunology, Children's Hospital of Philadelphia, Philadelphia, PA.
Caroline J DiorioOncology.
Joseph J ZorcFrom the Divisions of Emergency Medicine.
Fran BalamuthFrom the Divisions of Emergency Medicine.
Office of Infectious Diseases · USCenter for Rheumatology · USChildren's Hospital of Philadelphia · US

Funding

MEP pathway resistance in Plasmodium falciparumR01AI103280 · NIAID · WASHINGTON UNIVERSITY · PI Audrey Ragan Odom John · 2013 to 2026
$5.5M
Diagnosis of MIS-C in febrile childrenR61HD105594 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI BASSIRI, HAMID, ODOM JOHN, AUDREY RAGAN · 2021 to 2022
$1.8M
Obesity dysregulates immune and metabolic status in asthma and alters infection susceptibility.K08AI135091 · NIAID · CHILDREN'S HOSP OF PHILADELPHIA · PI HENRICKSON, SARAH E · 2019 to 2023
$935k
Towards noninvasive diagnosis of malariaR21AI144472 · NIAID · WASHINGTON UNIVERSITY · PI ODOM JOHN, AUDREY RAGAN · 2019 to 2020
$485k
TARGETING ISPC TO TREAT MALARIAR21AI123808 · NIAID · WASHINGTON UNIVERSITY · PI ODOM JOHN, AUDREY RAGAN · 2016 to 2017
$440k
SELECTIVE INHIBITION OF THE P. FALCIPARUM GLUCOSE TRANSPORTER PFHTR21AI130584 · NIAID · WASHINGTON UNIVERSITY · PI HRUZ, PAUL W · 2018 to 2019
$419k
AHRQ HHS K12 HS026393NIAID NIH HHS K08 AI135091NIAID NIH HHS R01 AI103280NIAID NIH HHS R21 AI123808NIAID NIH HHS R21 AI130584NIAID NIH HHS R21 AI144472NICHD NIH HHS R61 HD105594
6 · The paper itself

Abstract

objectiveThe aim of the study was to compare presenting clinical and laboratory features among children meeting the surveillance definition for multisystem inflammatory syndrome in children (MIS-C) across a range of illness severities.

methodsThis is a retrospective single-center study of patients younger than 21 years presenting between March 1 and May 15, 2020. Included patients met the Centers for Disease Control and Prevention criteria for MIS-C (inflammation, fever, involvement of 2 organ systems, lack of alternative diagnoses). We defined 3 subgroups by clinical outcomes: (1) critical illness requiring intensive care interventions; (2) patients meeting Kawasaki disease (KD) criteria but not requiring critical care; and (3) mild illness not meeting either criteria. A comparator cohort included patients with KD at our institution during the same time frame in 2019.

resultsThirty-three patients were included (5, critical; 8, 2020 KD; 20, mild). The median age for the critical group was 10.9 years (2.7 for 2020 KD; 6.0 for mild, P = 0.033). The critical group had lower median absolute lymphocyte count (850 vs 3005 vs 2940/uL, P = 0.005), platelets (150 vs 361 vs 252 k/uL, P = 0.005), and sodium (129 vs 136 vs 136 mmol/L, P = 0.002), and higher creatinine (0.7 vs 0.2 vs 0.3 mg/dL, P = 0.002). In the critical group, 60% required vasoactive medications, and 40% required mechanical ventilation. Clinical and laboratories features were similar between the 2020 and 2019 KD groups.

conclusionsWe describe 3 groups with inflammatory syndromes during the SARS-CoV-2 pandemic. The initial profile of lymphopenia, thrombocytopenia, hyponatremia, and abnormal creatinine may help distinguish critically ill MIS-C patients from classic/atypical KD or more benign acute inflammation.

Indexed as

BetacoronavirusDisease ManagementPandemicsAdolescentChildCoronavirus InfectionsCOVID-19Critical CareDiagnosis, DifferentialFemaleHumansMaleMucocutaneous Lymph Node SyndromePneumonia, ViralRetrospective StudiesSARS-CoV-2

Identifiers

PMID32970023
PMCPMC8555855
OpenAlexW3088685472

What OpenQuestion holds

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Registered trials

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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.