NOEDIR ANTONIO GROPPO STOLF

(Fonte: Lattes)
Índice h a partir de 2011
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Lattes
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Unidades Organizacionais
Departamento de Cardio-Pneumologia, Faculdade de Medicina - Docente
LIM/11 - Laboratório de Cirurgia Cardiovascular e Fisiopatologia da Circulação, Hospital das Clínicas, Faculdade de Medicina

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  • article 1 Citação(ões) na Scopus
    Desenvolvimento de modelo clínico para predição da possibilidade de identificação da artéria de Adamkiewicz por angiotomografia
    (2018) AMATO, Alexandre Campos Moraes; PARGA FILHO, José Rodrigues; STOLF, Noedir Antônio Groppo
    Abstract Background There are clinically important morphological differences in the Adamkiewicz artery (AKA) between populations that do and do not have aortic disease and they have an influence on the neuroischemic complications involving the spinal cord during surgical operations. It is not yet known whether clinical parameters correlate with the predictability of identification of the artery using angiotomography. Objective To develop a mathematical model that by correlating clinical parameters with atherosclerosis enables prediction of the probability of identification of the AKA in patients examined with angiotomography. Method This is a cross-sectional, observational study using a patient database and image bank. A multivariate statistical analysis was conducted and a logit mathematical model was constructed to predict AKA identification. Significant variables were used to build a formula for calculation of the probability of identification. This model was calibrated and its power of discrimination was assessed using receiver operating characteristic (ROC) curves. Selection of explanatory variables was based on largest area under the ROC curve (p = 0.041) and combined significance of variables. Results A total of 110 cases were analyzed (54.5% were male, mean age was 60.97 years, and ethnicity coefficients were white -2.471, brown -1.297, and black -0.971) and the AKA was identified in 60.9%. Body mass index: 27.06 ± 0.98 (coef. -0.101); smokers: 55.5% (coef. -1.614/-1.439); diabetes: 13.6%; hypertension: 65.5% (coef. -1.469); dyslipidemia: 58.2%; aortic aneurysm: 38.2%; aortic dissection: 12.7%; and mural thrombus: 24.5%. The constant was 6.262. The formula for calculating the probability of detection is as follows: ( e − ( C o e f . E t n i c i t y + ( C o e f . B M I × B M I ) + C o e f . s m o ker + C o e f . S A H + C o e f . d y s l i p + C o n s tan t ) + 1 ) − 1 . The prediction model was constructed and made available at: https://vascular.pro/aka-model . Conclusions Using the covariates ethnicity, body mass index, smoking, arterial hypertension, and dyslipidemia, it proved possible to create a mathematical model for predicting identification of the AKA with a combined significance of nine coefficients (p = 0.042).
  • article 20 Citação(ões) na Scopus
    Anatomia da circulação medular
    (2015) AMATO, Alexandre Campos Moraes; STOLF, Noedir Antônio Groppo
    AbstractThe intricate three-dimensional vascular anatomy of the spinal cord is still not completely understood, and its terminology varies between studies. In view of its importance in spinal ischemia, an analysis is needed of the anatomic vocabulary used to describe the spinal cord blood supply to improve understanding of the subject. The main supply is the Adamkiewicz artery, also known as great anterior radicular artery. The literature was reviewed to equate the different nomenclatures employed and an accurate description of current knowledge on spinal cord vascularization was prepared.