Evidence map›Paper›PMID 35061093›Full record

Observational studyEuropean journal of pediatrics2022

Epidemiologic and clinical characteristics of neonates with late-onset COVID-19: 1-year data of Turkish Neonatal Society.

Ilke Mungan Akin, Mehmet Kenan Kanburoglu, Cuneyt Tayman, Mehmet Yekta Oncel, Timucin Imdadoglu, Mustafa Dilek, Akan Yaman, Fatma Narter, Ilkay Er, Hasan Kahveci and 3 more

Registry-linked trialOpen access · bronzeAbstract readObservational Study
In one paragraph

Observational study in European journal of pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04401540 (Clinical and Epidemiological Characteristics of COVID-19 Infection on Babies of Prenatal COVID-19 Positive Women in Turkey), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.0field-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.

NCT04401540 unknown statusnot on this map

Clinical and Epidemiological Characteristics of COVID-19 Infection on Babies of Prenatal COVID-19 Positive Women in Turkey

Typeobservational_patient_registrySponsorRecep Tayyip Erdogan University Training and Research HospitalRan2020 to 2020Enrolled90ConditionsCOVID-19, Neonatal Disease, Healthy
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. [Clinical features of 23 neonates infected with Omicron variant of severe acute respiratory syndrome coronavirus 2].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Article
  6. [Perinatal and neonatal management plan for prevention and control of SARS-CoV-2 infection (3rd Edition)].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Article
  7. 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

13 authors at 20 institutions in 1 country.

Ilke Mungan AkinDivision of Neonatology, Umraniye Training and Research Hospital, University of Health Sciences, Istanbul, Turkey. ilkemungan@gmail.com.ORCID http://orcid.org/0000-0002-3677-1582
Mehmet Kenan KanburogluDivision of Neonatology, Department of Pediatrics, School of Medicine, Rize Recep Tayyip Erdogan University, Rize, Turkey.
Cuneyt TaymanDivision of Neonatology, Ankara City Hospital, Ministry of Health, Ankara, Turkey.
Mehmet Yekta OncelDivision of Neonatology, Department of Pediatrics, School of Medicine, İzmir Katip Celebi University, Izmir, Turkey.
Timucin ImdadogluDivision of Neonatology, Sancaktepe Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Mustafa DilekDivision of Neonatology, Department of Pediatrics, School of Medicine, Abant Izzet Baysal University, Bolu, Turkey.
Akan YamanDivision of Neonatology, Department of Pediatrics, School of Medicine, Nisantasi University, Istanbul, Turkey.
Fatma NarterDivision of Neonatology, Ministry of Health Kartal Dr. Lutfi Kirdar City Hospital, Istanbul, Turkey.
Ilkay ErDivision of Neonatology, Kocaeli Derince Training and Research Hospital, University of Health Sciences, Kocaeli, Turkey.
Hasan KahveciDivision of Neonatology, Department of Pediatrics, Erzurum Bolge Hastanesi, University of Health Sciences, Erzurum, Turkey.
Omer ErdeveDivision of Neonatology, Department of Pediatrics, School of Medicine, Ankara University, Ankara, Turkey.
Esin KocDivision of Neonatology, Department of Pediatrics, School of Medicine, Gazi University, Ankara, Turkey.
Neo-Covid Study Group
Ministry of Health · TRSağlık Bilimleri Üniversitesi · TRAnkara University · TRIzmir University · TRAcıbadem University · TRAdıyaman University · TRBağcılar Eğitim ve Araştırma Hastanesi · TRBatman University · TRCukurova University · TRGiresun University · TRMarmara University · TRSakarya University · TRTrakya University · TRBolu Abant İzzet Baysal University · TRBursa Uludağ Üni̇versi̇tesi̇ · TREge University · TRErzurum Regional Training and Research Hospital · TRGazi University · TRInonu University · TRİstanbul Nişantaşı Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The literature on neonates with SARS-CoV-2 is mainly concerned with perinatal cases, and scanty data are available about environmentally infected neonates. To fill knowledge gaps on the course and prognosis of neonatal cases, we analyzed 1-year data from the Turkish Neonatal Society in this prospective cohort study of neonates with postnatal transmission. Data from 44 neonatal intensive care units (NICUs), of neonates with positive RT-PCR results at days 5-28 of life, were extracted from the online registry system and analyzed. Of 176 cases, most were term infants with normal birth weight. Fever was the most common symptom (64.2%), followed by feeding intolerance (25.6%), and cough (21.6%). The median length of hospitalization was 9 days, with approximately one quarter of infants receiving some type of ventilatory support. Myocarditis (5.7%) was the most common complication during follow-up. Among the clinical findings, cough (odds ratio [OR]: 9.52, 95% confidence interval [CI]: 4.17-21.71), tachypnea (OR: 26.5, 95% CI: 9.59-73.19), and chest retractions (OR: 27.5, 95% CI: 5.96-126.96) were associated with more severe clinical disease. Also, there were significant differences in the C-reactive protein level, prothrombin time (PT), partial thromboplastin time, international normalized ratio, and days in the NICU (p = 0.002, p = 0.012, p = 0.034, p = 0.008, and p < 0.001, respectively) between patients with mild-moderate and severe-critical presentations. A PT above 14 s was a significant predictor of severe/critical cases, with a sensitivity of 64% and specificity of 73%.

conclusionsOur data showed that late-onset COVID-19 infection in neonates who need hospitalization can be severe, showing associations with high rates of ventilatory support and myocarditis. Cough, tachypnea, and retractions on admission suggest a severe disease course.

trial registrationClinicalTrials.gov identifier: NCT04401540. WHAT IS KNOWN: • Neonatal cases of COVID-19 infection are mainly reported as perinatal COVID-19 cases. • Neonates with perinatal transmission have a mild course and favorable prognosis. WHAT IS NEW: • Among symptomatic neonates with late-onset COVID-19 infection, fever was the most common symptom, and almost one quarter of hospitalized cases needed some type of respiratory support. Myocarditis was the most common complication. • The presence of cough, tachypnea, retractions, and a PT above 14 s were associated with an increased risk of severe COVID-19.

Indexed as

COVID-19MyocarditisPregnancy Complications, InfectiousCoughFemaleHumansInfantInfant, NewbornInfectious Disease Transmission, VerticalPregnancyProspective StudiesSARS-CoV-2TachypneaCOVID-19NewbornPostnatalSARS-CoV-2

Identifiers

PMID35061093
PMCPMC8776552
OpenAlexW4206498166

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.