Evidence map›Paper›PMID 39231181›Full record

ArticlePloS one2024

The predicting formula and scoring system for cardiac iron overload for thalassaemia children: Study from a middle-income country.

Syarif Rohimi, Bambang Budi Siswanto, Muchtaruddin Mansyur, Djajadiman Gatot, Ina Sutanto, Jacub Pandelaki, Amiliana M Soesanto, Teddy Ontoseno

Abstract read
In one paragraph

Article in PloS one, 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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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

8 authors.

Syarif RohimiRumah Sakit Anak dan Bunda RSAB Harapan Kita, Jakarta, Indonesia.ORCID 0000-0001-9351-0373
Bambang Budi SiswantoHarapan Kita National Cardiac Centre Hospital, Jakarta, Indonesia.
Muchtaruddin MansyurDepartment of Community Medicine, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.ORCID 0000-0002-3100-3269
Djajadiman GatotDepartment of Paediatrics, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Ina SutantoDepartment of Clinical Pathology, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Jacub PandelakiDepartment of Radiology, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Amiliana M SoesantoHarapan Kita National Cardiac Centre Hospital, Jakarta, Indonesia.ORCID 0000-0001-7898-4570
Teddy OntosenoDepartment of Paediatrics, Faculty of Medicine Universitas Airlangga, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging T2* screening is the gold standard for detecting cardiac iron overload in thalassemia, but its implementation in Indonesia is limited by the high costs. A predicting formula and scoring system based on low-cost investigations is needed. This cross-sectional study was conducted among thalassemia aged 6-18 years at Rumah Sakit Anak dan Bunda RSAB Harapan Kita Indonesia, during October 2017 to April 2019. All subjects were scheduled for clinical examination, laboratory tests, ECGs, echocardiography, tissue Doppler imaging, and MRIT2*. Multivariate logistic regression was used to identify the formula, simplifying to a scoring system, and risk classification for myocardial iron overload using odds ratio (OR) and 95% confidence interval (CI). Significance was set as p<0,05. We recruited 80 children, of those, 8 (10%) were classified as cardiac iron overload based on MRI T2* screening. Multivariate logistic regression showed determinant factors for cardiac iron overload were hemoglobin (95% CI:1.92-369.14), reticulocyte (95% CI:1.14-232.33), mitral deceleration time (DT) (95% CI:1.80-810.62,), and tricuspid regurgitation (TR Vmax) (95% CI:1.87-1942.56) with aOR of 26.65, 14.27, 38.22, and 60.27 respectively. The formula for cardiac iron overload was decided as 9.32 + 3.28 (Hb) + 2.9 (reticulocyte) + 3.64 (DT) + 4.1 (TR Vmax). A scoring system was defined by simplifying the formula of Hb ≤ 8.2 g/L, reticulocyte ≤0.33%, DT ≤ 114.5 cm/s, and TR Vmax ≥ 2.37 m/s were given a score of 1, while others were assigned 0. Total scores of 0 or 1, 2 and 3 or 4 were categorized as low, moderate, and high risk for iron cardiac overload. The cardiac iron overload formula was 9.32 + 3.28 (Hb) + 2.9 (reticulocyte) + 3.64 (DT) + 4.1 (TR Vmax). Variables of Hb ≤ 8.2 g/L, reticulocyte ≤0.33%, DT ≤ 114.5 cm/s, and TR Vmax ≥ 2.37 m/s were given a score of 1, while others were assigned 0. Total scores of 0 or 1, 2, and 3 or 4 were categorized as low, moderate, and high risk for iron cardiac overload.

Indexed as

Iron OverloadMagnetic Resonance ImagingThalassemiaAdolescentChildCross-Sectional StudiesEchocardiographyFemaleHumansIndonesiaMaleMyocardium

Identifiers

PMID39231181
PMCPMC11373841

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