2019
DOI: 10.1097/sla.0000000000003200
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The Primary Aldosteronism Surgical Outcome Score for the Prediction of Clinical Outcomes After Adrenalectomy for Unilateral Primary Aldosteronism

Abstract: Objective: To develop a prediction model for clinical outcomes after unilateral adrenalectomy for unilateral primary aldosteronism. Summary Background Data: Unilateral primary aldosteronism is the most common surgically curable form of endocrine hypertension. Surgical resection of the dominant overactive adrenal in unilateral primary aldosteronism results in complete clinical success with resolution of hypertension without antihypertensive medication in less than half of patients with a wide between-center var… Show more

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Cited by 91 publications
(120 citation statements)
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“…Supervised machine learning algorithms and in particular linear discriminant analysis (LDA) and random forest (RF) models have been exploited in the context of diagnostic modelling for clinical research, as described previously 29,30 . LDA was used as a strategy for feature reduction to build the canonical plot.…”
Section: Methodsmentioning
confidence: 99%
“…Supervised machine learning algorithms and in particular linear discriminant analysis (LDA) and random forest (RF) models have been exploited in the context of diagnostic modelling for clinical research, as described previously 29,30 . LDA was used as a strategy for feature reduction to build the canonical plot.…”
Section: Methodsmentioning
confidence: 99%
“…Machine learning supervised algorithms are exploited in clinical practice to formulate predictions of selected outcomes based on a given set of labeled paired input-output training sample data. 22,23 The linear discriminant analysis was used to build the 3D canonical plot (figure 2B); canonical components 1, 2, and 3 were calculated from weighted linear combinations of variables to maximize separation between the 4 groups (HC, PD, MSA, and AP-Tau); in the plot, each patient is represented by a point, the center of the spheres indicates the mean of (canonical 1; canonical 2; canonical 3) for each diagnosis, and spheres include patients with a linear combination coefficient that falls within the mean ± SD (canonical 1 ± SD; canonical 2 ± SD; canonical 3 ± SD). A diagnostic model was built through a random forest (RF) classification algorithm on the training cohort (n = 63); the algorithm created 20 different classification trees with a maximum number of 8 splits for each tree.…”
Section: Diagnostic Modeling and Validationmentioning
confidence: 99%
“…Defined daily dose is the assumed average maintenance dose per day for a drug used from its main indication in adults according to ATC/DDD Index 2018 (https://www.whocc.no/atc_ddd_index/) and can be calculated using an online tool (https://github.com/ABurrello/ PASO-Predictor/raw/master/00 -PASO Predictor.xlsm). 45 Aldo indicates plasma aldosterone concentration; APA, aldosterone-producing adenoma; APCC, aldosterone-producing cell cluster; ARR_DRC, aldosterone-to-renin ratio calculated using direct renin concentrations; BMI, body mass index; DBP, diastolic blood pressure; DDD, defined daily dose; DRC, direct renin concentration; F, female; HTN, hypertension; ID, identification; M, male; SBP, systolic blood pressure; and serum K + , lowest serum potassium ion concentration.…”
Section: Metabolic Phenotyping Of Apccsmentioning
confidence: 99%