Evidence map›Paper›PMID 38133874›Full record

ArticleIndian journal of pediatrics2024

Tei Index and its Relation to Outcome of Critically Ill Children on Continuous Renal Replacement Therapy.

Fatina I Fadel, Ahmed M Badr, Marwa M Abdelkareem, Mohammad Samir, Mohammad Abdallah, Fatma Mohammad Atia, Yasmin M Ramadan

Abstract read
In one paragraph

Article in Indian journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Predictive Models for CKRT: (A Long) Way to Go.Indian journal of pediatrics · 2024
    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

7 authors.

Fatina I FadelDepartment of Pediatrics, Center of Pediatric Nephrology and Transplantation (CPNT), Cairo University, Cairo, Egypt.
Ahmed M BadrDepartment of Pediatrics, Center of Pediatric Nephrology and Transplantation (CPNT), Cairo University, Cairo, Egypt.
Marwa M AbdelkareemDepartment of Pediatrics, Center of Pediatric Nephrology and Transplantation (CPNT), Cairo University, Cairo, Egypt.
Mohammad SamirDepartment of Pediatrics, Center of Pediatric Nephrology and Transplantation (CPNT), Cairo University, Cairo, Egypt.
Mohammad AbdallahDepartment of Pediatrics, Center of Pediatric Nephrology and Transplantation (CPNT), Cairo University, Cairo, Egypt.
Fatma Mohammad AtiaDepartment of Pediatrics, Center of Pediatric Nephrology and Transplantation (CPNT), Cairo University, Cairo, Egypt. fatma.atia@kasralainy.edu.eg.ORCID 0000-0002-5742-7836
Yasmin M RamadanDepartment of Pediatrics, Center of Pediatric Nephrology and Transplantation (CPNT), Cairo University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate echocardiographic parameters, especially the Tei index as a predictor of outcome in critically ill children on continuous renal replacement therapy (CRRT).

methodsThis cohort study included all critically ill patients admitted at the Pediatric intensive care unit (PICU) and underwent CRRT. Functional echocardiography and Pediatric Risk of Mortality Index (PRISM) III were used to evaluate the participants. Both the Tei index and the Vasoactive inotropic score (VIS) were estimated.

resultsThe study included 35 patients with an age range of 6 mo to 14 y. The Tei indexes, VIS, and PRISM III were reported as predictors of mortality with a sensitivity of 88%, 83%, and 94% and a specificity of 73%, 79%, and 89% respectively. In survivors, the mean Tei index score, median VIS, and mean PRISM values were 0.44 ± 0.1, 3.8 (0-40), and 12.06 ± 3.35, respectively. However, in non-survivors, the mean Tei index, median VIS, and mean PRISM score were 0.59 ± 0.16, 0.60 (0-342.5), and 22.94 ± 8.93, respectively.

conclusionsThe Tei index could be used as a predictor for poor outcomes in children receiving CRRT. It is correlated to the PRISM score and VIS.

Indexed as

Continuous Renal Replacement TherapyCritical IllnessIntensive Care Units, PediatricAdolescentChildChild, PreschoolCohort StudiesEchocardiographyFemaleHumansInfantMaleSeverity of Illness IndexChildrenCritically illEchocardiographyRenal replacementTei index

Identifiers

PMID38133874
PMCPMC11485031

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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.