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 MG, Spadoni I.Data Brief. 2020 May 13;31:105694. doi: 10.1016/j.dib.2020.105694. eCollection 2020 Aug.PMID: 32490073 Free PMC article.
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.
Fig. 1 Forest plots reporting the effects of potential risk factors (A) and major procedures (B) on the primary outcomes.
Fig. 2 Column graph of the number of interventional catheterizations (A) and the composite outcome rate (B) for any individual centre both as overall (blue column) and separated data ranked as lower (orange column) and higher (grey column) procedure risk. The box reported the p-value calculated by linear regression analysis test.