Evidence map›Paper›PMID 35935164›Full record

ArticleJournal of neonatal nursing : JNN2023

Management of neonatal sepsis with COVID-19 infection in a premature newborn - A case report.

Mahbod Kaveh, Seyyed Mohsen Sadatinejad

Open access · greenAbstract readCase Reports
In one paragraph

Article in Journal of neonatal nursing : JNN, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  4. 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

2 authors at 1 institution in 1 country.

Mahbod KavehBahrami Children Hospital, Department of Pediatrics, Tehran University of Medical Sciences, Tehran, Iran.
Seyyed Mohsen SadatinejadBahrami Children Hospital, Department of Pediatrics, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Neonates appear to be less affected by COVID-19 than adults, yet COVID-19 has been a challenge for all medical specialties, including neonatal intensive care unit (NICU) specialists. Unfortunately, current knowledge about the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is limited. This case report explains how COVID-19 neonatal sepsis was treated with immunomodulatory agents. Case presentation: In this case, we present a premature male newborn who was ill. He was born to a mother with a negative nasopharyngeal swab test for SARS-CoV-2. On the fifth day of life, the baby developed respiratory distress, and a nasopharyngeal swab test for SARS-CoV-2 tested positive. The baby was Intubated, and intratracheal surfactant was administered. The infant was treated with intravenous immunoglobulin (IVIg) and corticosteroids for 14 days. Patient's demographics: Age: under 1 month, Sex: Male, Ethnicity: Iranian. Conclusion: The basics of treatment for neonatal COVID-19 is supportive care. Some studies have treated infants with various drugs such as Hydroxychloroquine, Favipiravir, and Remedsivir; however, in our case, a 5-day-old baby boy was treated with corticosteroids and IVIg. We achieved good outcomes after 2 weeks of treatment with dexamethasone 0.3 mg/kg per day and IVIg 2 g/kg/day (for 3 days). It appears that these treatments, along with adjuvant ventilation and the administration of endotracheal surfactant, can improve a patient's general condition.

Indexed as

Case reportCOVID-19NeonatePneumoniaSARS-CoV-2Sepsis

Identifiers

PMID35935164
PMCPMC9343744
OpenAlexW4289528201

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.