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DATA in BRIEF of: Interventional Cardiac Catheterization in Neonatal Age: Results in a Multi-centre Italian Experience

Authors :
Mario Giordano
Martino Cheli
Alessia Lunardini
Mario Carminati
Giuseppe Santoro
Gabriella Agnoletti
Isabella Spadoni
Paolo Guccione
Roberto Formigari
Carlotta Pepino
Maria Giovanna Russo
Luca Giugno
Gianpiero Gaio
Maurizio Marasini
Biagio Castaldi
Ornella Milanesi
Andrea Donti
Giordano, M.
Santoro, G.
Agnoletti, G.
Carminati, M.
Donti, A.
Guccione, P.
Marasini, M.
Milanesi, O.
Castaldi, B.
Cheli, M.
Formigari, R.
Gaio, G.
Giugno, L.
Lunardini, A.
Pepino, C.
Russo, M. G.
Spadoni, I.
Source :
Data in Brief, Vol 31, Iss, Pp 105694-(2020), Data in Brief
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

A comprehensive description of morbidity and mortality as well as risk factors of interventional cardiac catheterization performed in neonatal age was reported in our paper recently published on the International Journal of Cardiology (IJCA28502; PII: S0167-5273(20)30384-3; DOI: 10.1016/j.ijcard.2020.04.013). Eight Italian high-volume centres of Paediatric Cardiology were involved in this observational, retrospective data collection and analysis. In this dataset, clinical and procedural characteristics of 1423 newborns submitted to 1551 interventional cardiac catheterization procedures were analyzed. Primary outcomes were considered procedure and in-hospital mortality as well as major adverse event and procedural failure rates. Secondary outcomes were considered minor adverse events and need for blood transfusion. Targets of this data analysis were: 1) to evaluate the overall major risk factors of interventional cardiac catheterization; 2) to identify the most hazardous interventional procedures; 3) to assess possible trends of individual procedures as well as their outcome over time; 4) to find possible relationships between the volume activity of any centre and the procedure and follow-up outcome. In particular, this Data in Brief companion paper aims to report the specific statistic highlights of the multivariable analysis (binary logistic regression) used to assess the impact of any potential risk factors on the type of procedure over a short-term follow-up.

Details

Language :
English
ISSN :
23523409 and 01675273
Volume :
31
Database :
OpenAIRE
Journal :
Data in Brief
Accession number :
edsair.doi.dedup.....d6b1e961749d43345e7e6443f881fd38