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15 results on '"Iorio, Anita"'

1. Pick Your Threshold: A Comparison Among Different Methods of Anaerobic Threshold Evaluation in Heart Failure Prognostic Assessment

Author

Farina, Stefania, Pezzuto, Beatrice, Apostolo, Anna, Palermo, Pietro, Contini, Mauro, Gugliandolo, Paola, Mattavelli, Irene, Della Rocca, Michele, Gallo, Giovanna, Moscucci, Federica, Iorio, Anita, Halasz, Geza, Capelli, Bruno, Binno, Simone, Pacileo, Giuseppe, Valente, Fabio, Vastarella, Rossella, Zaffalon, Denise, Carriere, Cosimo, Masè, Marco, Cittar, Marco, Di Lenarda, Andrea, Caravita, Sergio, Viganò, Elena, Marchese, Giovanni, Ricci, Roberto, Arcari, Luca, Scrutinio, Domenico, Battaia, Elisa, Moretti, Michele, Matassini, Maria Vittoria, Shkoza, Matilda, Herberg, Roland, Cittadini, Antonio, Salzano, Andrea, Marra, Alberto, Lafranca, Eluisa, Vitale, Giuseppe, Salvioni, Elisabetta, Mapelli, Massimo, Bonomi, Alice, Magrì, Damiano, Piepoli, Massimo, Frigerio, Maria, Paolillo, Stefania, Corrà, Ugo, Raimondo, Rosa, Lagioia, Rocco, Badagliacca, Roberto, Filardi, Pasquale Perrone, Senni, Michele, Correale, Michele, Cicoira, Mariantonietta, Perna, Enrico, Metra, Marco, Guazzi, Marco, Limongelli, Giuseppe, Sinagra, Gianfranco, Parati, Gianfranco, Cattadori, Gaia, Bandera, Francesco, Bussotti, Maurizio, Re, Federica, Vignati, Carlo, Lombardi, Carlo, Scardovi, Angela B., Sciomer, Susanna, Passantino, Andrea, Emdin, Michele, Passino, Claudio, Santolamazza, Caterina, Girola, Davide, De Martino, Fabiana, and Agostoni, Piergiuseppe

Published
2022
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2. Pulmonary embolism in patients with COVID-19: characteristics and outcomes in the Cardio-COVID Italy multicenter study

Author

Ameri, Pietro, Inciardi, Riccardo M., Di Pasquale, Mattia, Agostoni, Piergiuseppe, Bellasi, Antonio, Camporotondo, Rita, Canale, Claudia, Carubelli, Valentina, Carugo, Stefano, Catagnano, Francesco, Danzi, Giambattista, Dalla Vecchia, Laura, Giovinazzo, Stefano, Gnecchi, Massimiliano, Guazzi, Marco, Iorio, Anita, La Rovere, Maria Teresa, Leonardi, Sergio, Maccagni, Gloria, Mapelli, Massimo, Margonato, Davide, Merlo, Marco, Monzo, Luca, Mortara, Andrea, Nuzzi, Vincenzo, Piepoli, Massimo, Porto, Italo, Pozzi, Andrea, Provenzale, Giovanni, Sarullo, Filippo, Sinagra, Gianfranco, Tedino, Chiara, Tomasoni, Daniela, Volterrani, Maurizio, Zaccone, Gregorio, Lombardi, Carlo Mario, Senni, Michele, and Metra, Marco

Published
2021
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3. Machine learning for prediction of in-hospital mortality in coronavirus disease 2019 patients: results from an Italian multicenter study

Author

Vezzoli, Marika, Inciardi, Riccardo Maria, Oriecuia, Chiara, Paris, Sara, Murillo, Natalia Herrera, Agostoni, Piergiuseppe, Ameri, Pietro, Bellasi, Antonio, Camporotondo, Rita, Canale, Claudia, Carubelli, Valentina, Carugo, Stefano, Catagnano, Francesco, Danzi, Giambattista, Dalla Vecchia, Laura, Giovinazzo, Stefano, Gnecchi, Massimiliano, Guazzi, Marco, Iorio, Anita, La Rovere, Maria Teresa, Leonardi, Sergio, Maccagni, Gloria, Mapelli, Massimo, Margonato, Davide, Merlo, Marco, Monzo, Luca, Mortara, Andrea, Nuzzi, Vincenzo, Pagnesi, Matteo, Piepoli, Massimo, Porto, Italo, Pozzi, Andrea, Provenzale, Giovanni, Sarullo, Filippo, Senni, Michele, Sinagra, Gianfranco, Tomasoni, Daniela, Adamo, Marianna, Volterrani, Maurizio, Maroldi, Roberto, Metra, Marco, Lombardi, Carlo Mario, and Specchia, Claudia

Published
2022
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5. Pick Your Threshold

Author

Salvioni, Elisabetta, primary, Mapelli, Massimo, additional, Bonomi, Alice, additional, Magrì, Damiano, additional, Piepoli, Massimo, additional, Frigerio, Maria, additional, Paolillo, Stefania, additional, Corrà, Ugo, additional, Raimondo, Rosa, additional, Lagioia, Rocco, additional, Badagliacca, Roberto, additional, Filardi, Pasquale Perrone, additional, Senni, Michele, additional, Correale, Michele, additional, Cicoira, Mariantonietta, additional, Perna, Enrico, additional, Metra, Marco, additional, Guazzi, Marco, additional, Limongelli, Giuseppe, additional, Sinagra, Gianfranco, additional, Parati, Gianfranco, additional, Cattadori, Gaia, additional, Bandera, Francesco, additional, Bussotti, Maurizio, additional, Re, Federica, additional, Vignati, Carlo, additional, Lombardi, Carlo, additional, Scardovi, Angela B., additional, Sciomer, Susanna, additional, Passantino, Andrea, additional, Emdin, Michele, additional, Passino, Claudio, additional, Santolamazza, Caterina, additional, Girola, Davide, additional, Zaffalon, Denise, additional, De Martino, Fabiana, additional, Agostoni, Piergiuseppe, additional, Farina, Stefania, additional, Pezzuto, Beatrice, additional, Apostolo, Anna, additional, Palermo, Pietro, additional, Contini, Mauro, additional, Gugliandolo, Paola, additional, Mattavelli, Irene, additional, Della Rocca, Michele, additional, Gallo, Giovanna, additional, Moscucci, Federica, additional, Iorio, Anita, additional, Halasz, Geza, additional, Capelli, Bruno, additional, Binno, Simone, additional, Pacileo, Giuseppe, additional, Valente, Fabio, additional, Vastarella, Rossella, additional, Carriere, Cosimo, additional, Masè, Marco, additional, Cittar, Marco, additional, Di Lenarda, Andrea, additional, Caravita, Sergio, additional, Viganò, Elena, additional, Marchese, Giovanni, additional, Ricci, Roberto, additional, Arcari, Luca, additional, Scrutinio, Domenico, additional, Battaia, Elisa, additional, Moretti, Michele, additional, Matassini, Maria Vittoria, additional, Shkoza, Matilda, additional, Herberg, Roland, additional, Cittadini, Antonio, additional, Salzano, Andrea, additional, Marra, Alberto, additional, Lafranca, Eluisa, additional, and Vitale, Giuseppe, additional

Published
2022
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6. Effectiveness and Quality of Life with Paliperidone Palmitate 3-Monthly in Comparison with Other Long-Acting Drugs

Author

Di Lorenzo, Rosaria, primary, Iorio, Anita, additional, Pinelli, Margherita, additional, Magarini, Federica Maria, additional, Marchi, Mattia, additional, Sacchetti, Andrea, additional, Calogero, Chiara, additional, Galeazzi, Gian, additional, Ferri, Paola, additional, Rovesti, Sergio, additional, and Minarini, Alessandro, additional

Published
2022
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7. Effectiveness and Quality of Life with Paliperidone Palmitate 3-Monthly in Comparison with Other Long-Acting Drugs.

Author

Lorenzo, Rosaria Di, Iorio, Anita, Pinelli, Margherita, Magarini, Federica, Marchi, Mattia, Sacchetti, Andrea, Calogero, Chiara, Galeazzi, Gian Maria, Ferri, Paola, Rovesti, Sergio, and Minarini, Alessandro

Subjects
*QUALITY of life, *MENTAL health facilities, *PATIENT compliance, *PSYCHIATRIC hospital care, *PEOPLE with schizophrenia
Abstract

Purpose: Antipsychotic long-acting injections (AP-LAIs) are indicated for patients affected by schizophrenia especially those with poor treatment adherence. Patients and Methods: To compare paliperidone palmitate 3-monthly (PP3M), paliperidone palmitate one-monthly (PP1M) and haloperidol decanoate (HAL-D) treatment, we enrolled 90 patients with schizophrenia treated in Mental Health Center with one of the three AP-LAIs for at least six months and followed them for another 6 months. At 6 and 12 months of treatment we administered Clinical Global Impression-Severity, Global Assessment of Functioning and World Health Organization Quality of Life-26 items (WHOQOL-BREF). At 1-year treatment, we evaluated relapses (psychiatric hospitalizations and urgent consultations), side effects and drop-outs. Results: We did not highlight any statistically significant difference among the three treatments in relapses and scale scores. Weight increase was significantly higher in PP1M and PP3M groups. Twelve patients (13.3%) discontinued AP-LAI. At 1-year AP-LAI treatment, 69% of patients rated quality of life as "good" or "very good" and 71% declared themselves to be "satisfied" or "very satisfied". Conclusion: HAL-D, PP1M and PP3M 1-year treatments were similarly effective in preventing relapses and improving quality of life and health satisfaction. All discontinuations in the new 3-monthly antipsychotic treatment were caused by patient refusal to continue it. [ABSTRACT FROM AUTHOR]

Published
2022
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8. Pulmonary embolism in patients with COVID-19: characteristics and outcomes in the Cardio-COVID Italy multicenter study

Author

Ameri, Pietro, primary, Inciardi, Riccardo M., additional, Di Pasquale, Mattia, additional, Agostoni, Piergiuseppe, additional, Bellasi, Antonio, additional, Camporotondo, Rita, additional, Canale, Claudia, additional, Carubelli, Valentina, additional, Carugo, Stefano, additional, Catagnano, Francesco, additional, Danzi, Giambattista, additional, Dalla Vecchia, Laura, additional, Giovinazzo, Stefano, additional, Gnecchi, Massimiliano, additional, Guazzi, Marco, additional, Iorio, Anita, additional, La Rovere, Maria Teresa, additional, Leonardi, Sergio, additional, Maccagni, Gloria, additional, Mapelli, Massimo, additional, Margonato, Davide, additional, Merlo, Marco, additional, Monzo, Luca, additional, Mortara, Andrea, additional, Nuzzi, Vincenzo, additional, Piepoli, Massimo, additional, Porto, Italo, additional, Pozzi, Andrea, additional, Provenzale, Giovanni, additional, Sarullo, Filippo, additional, Sinagra, Gianfranco, additional, Tedino, Chiara, additional, Tomasoni, Daniela, additional, Volterrani, Maurizio, additional, Zaccone, Gregorio, additional, Lombardi, Carlo Mario, additional, Senni, Michele, additional, and Metra, Marco, additional

Published
2020
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10. Insights from Cardiac Mechanics after Three Decades from Successfully Repaired Aortic Coarctation

Author

Faganello, Giorgio, Russo, Giulia, Iorio, Anita, Grande, Eliana, Cherubini, Antonella, Tarantini, Luigi, Benettoni, Alessandra, Pozzi, Marco, Cioffi, Giovanni, FISICARO, MAURIZIO, MAZZONE, CARMINE, HUMAR, FRANCO, Pandullo, Claudio, BARBATI, GIULIA, DI LENARDA, ANDREA, Faganello, Giorgio, Fisicaro, Maurizio, Russo, Giulia, Iorio, Anita, Mazzone, Carmine, Grande, Eliana, Humar, Franco, Cherubini, Antonella, Pandullo, Claudio, Barbati, Giulia, Tarantini, Luigi, Benettoni, Alessandra, Pozzi, Marco, DI LENARDA, Andrea, and Cioffi, Giovanni

Subjects
Adult, Male, Radiology, Nuclear Medicine and Imaging, Time Factors, Pediatrics, Ventricular Function, Left, Aortic Coarctation, Ventricular Dysfunction, Left, Young Adult, Nuclear Medicine and Imaging, Humans, Cardiac Surgical Procedures, Cardiac Function, Stroke Volume, Middle Aged, Perinatology and Child Health, Left Ventricular Systolic Function, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Surgery, Magnetic Resonance Imaging, Echocardiography, Doppler, Biomechanical Phenomena, Treatment Outcome, Italy, Case-Control Studies, Female, Radiology
Abstract

BACKGROUND AND AIMS: Patients who underwent a successful repair of the aortic coarctation show chronic hyperdynamic state and normal left ventricular (LV) geometry; however, there are few data regarding the LV systolic function in the long term. Accordingly, we assessed LV systolic mechanics and factors associated with LV systolic dysfunction (LVSD) in patients with repaired CoA. METHODS: Clinical and echocardiographic data from 19 repaired CoA were analyzed 28 ± 13 years after surgery. Stress-corrected midwall shortening (sc-MS) and mitral annular peak systolic velocity (S') were analyzed as indexes of LV circumferential and longitudinal systolic function, respectively. Echocardiographic data of CoA patients were compared with 19 patients matched for age and hypertension and 38 healthy controls. Sc-MS was considered impaired if

Published
2016

11. Insights from Cardiac Mechanics after Three Decades from Successfully Repaired Aortic Coarctation

Author

Faganello, Giorgio, primary, Fisicaro, Maurizio, additional, Russo, Giulia, additional, Iorio, Anita, additional, Mazzone, Carmine, additional, Grande, Eliana, additional, Humar, Franco, additional, Cherubini, Antonella, additional, Pandullo, Claudio, additional, Barbati, Giulia, additional, Tarantini, Luigi, additional, Benettoni, Alessandra, additional, Pozzi, Marco, additional, Di Lenarda, Andrea, additional, and Cioffi, Giovanni, additional

Published
2015
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12. Machine learning for prediction of in-hospital mortality in coronavirus disease 2019 patients: results from an Italian multicenter study

Author

Marika Vezzoli, Riccardo Maria Inciardi, Chiara Oriecuia, Sara Paris, Natalia Herrera Murillo, Piergiuseppe Agostoni, Pietro Ameri, Antonio Bellasi, Rita Camporotondo, Claudia Canale, Valentina Carubelli, Stefano Carugo, Francesco Catagnano, Giambattista Danzi, Laura Dalla Vecchia, Stefano Giovinazzo, Massimiliano Gnecchi, Marco Guazzi, Anita Iorio, Maria Teresa La Rovere, Sergio Leonardi, Gloria Maccagni, Massimo Mapelli, Davide Margonato, Marco Merlo, Luca Monzo, Andrea Mortara, Vincenzo Nuzzi, Matteo Pagnesi, Massimo Piepoli, Italo Porto, Andrea Pozzi, Giovanni Provenzale, Filippo Sarullo, Michele Senni, Gianfranco Sinagra, Daniela Tomasoni, Marianna Adamo, Maurizio Volterrani, Roberto Maroldi, Marco Metra, Carlo Mario Lombardi, Claudia Specchia, Vezzoli, Marika, Inciardi, Riccardo Maria, Oriecuia, Chiara, Paris, Sara, Murillo, Natalia Herrera, Agostoni, Piergiuseppe, Ameri, Pietro, Bellasi, Antonio, Camporotondo, Rita, Canale, Claudia, Carubelli, Valentina, Carugo, Stefano, Catagnano, Francesco, Danzi, Giambattista, Dalla Vecchia, Laura, Giovinazzo, Stefano, Gnecchi, Massimiliano, Guazzi, Marco, Iorio, Anita, La Rovere, Maria Teresa, Leonardi, Sergio, Maccagni, Gloria, Mapelli, Massimo, Margonato, Davide, Merlo, Marco, Monzo, Luca, Mortara, Andrea, Nuzzi, Vincenzo, Pagnesi, Matteo, Piepoli, Massimo, Porto, Italo, Pozzi, Andrea, Provenzale, Giovanni, Sarullo, Filippo, Senni, Michele, Sinagra, Gianfranco, Tomasoni, Daniela, Adamo, Marianna, Volterrani, Maurizio, Maroldi, Roberto, Metra, Marco, Lombardi, Carlo Mario, and Specchia, Claudia

Subjects
Aged, 80 and over, Male, SARS-CoV-2, adult, COVID-19, General Medicine, aged, aged, 80 and over, creatinine, female, hospital mortality, humans, machine learning, male, middle aged, SARS-Cov-2, troponin, Middle Aged, Troponin, Machine Learning, Creatinine, 80 and over, Humans, Female, Aged, Hospital Mortality, Cardiology and Cardiovascular Medicine, Human
Abstract

Several risk factors have been identified to predict worse outcomes in patients affected by SARS-CoV-2 infection. Machine learning algorithms represent a novel approach to identifying a prediction model with a good discriminatory capacity to be easily used in clinical practice. The aim of this study was to obtain a risk score for in-hospital mortality in patients with coronavirus disease infection (COVID-19) based on a limited number of features collected at hospital admission.We studied an Italian cohort of consecutive adult Caucasian patients with laboratory-confirmed COVID-19 who were hospitalized in 13 cardiology units during Spring 2020. The Lasso procedure was used to select the most relevant covariates. The dataset was randomly divided into a training set containing 80% of the data, used for estimating the model, and a test set with the remaining 20%. A Random Forest modeled in-hospital mortality with the selected set of covariates: its accuracy was measured by means of the ROC curve, obtaining AUC, sensitivity, specificity and related 95% confidence interval (CI). This model was then compared with the one obtained by the Gradient Boosting Machine (GBM) and with logistic regression. Finally, to understand if each model has the same performance in the training and test set, the two AUCs were compared using the DeLong's test. Among 701 patients enrolled (mean age 67.2 ± 13.2 years, 69.5% male individuals), 165 (23.5%) died during a median hospitalization of 15 (IQR, 9-24) days. Variables selected by the Lasso procedure were: age, oxygen saturation, PaO2/FiO2, creatinine clearance and elevated troponin. Compared with those who survived, deceased patients were older, had a lower blood oxygenation, lower creatinine clearance levels and higher prevalence of elevated troponin (all P 0.001). The best performance out of the samples was provided by Random Forest with an AUC of 0.78 (95% CI: 0.68-0.88) and a sensitivity of 0.88 (95% CI: 0.58-1.00). Moreover, Random Forest was the unique model that provided similar performance in sample and out of sample (DeLong test P = 0.78).In a large COVID-19 population, we showed that a customizable machine learning-based score derived from clinical variables is feasible and effective for the prediction of in-hospital mortality.

Published
2022

13. Pulmonary embolism in patients with COVID-19: characteristics and outcomes in the Cardio-COVID Italy multicenter study

Author

Valentina Carubelli, Carlo Lombardi, Marco Metra, Davide Margonato, Massimiliano Gnecchi, Antonio Bellasi, Maurizio Volterrani, Marco Guazzi, Gregorio Zaccone, Riccardo M. Inciardi, Massimo F Piepoli, Mattia Di Pasquale, Laura Adelaide Dalla Vecchia, Francesco Catagnano, Stefano Carugo, Michele Senni, Sergio Leonardi, Vincenzo Nuzzi, Pietro Ameri, Filippo M. Sarullo, Stefano Giovinazzo, Luca Monzo, Rita Camporotondo, Gianfranco Sinagra, Andrea Mortara, Giovanni Provenzale, Daniela Tomasoni, Marco Merlo, Anita Iorio, Maria Teresa La Rovere, Chiara Tedino, Andrea Pozzi, Claudia Canale, Giambattista Danzi, Piergiuseppe Agostoni, Italo Porto, Gloria Maccagni, Massimo Mapelli, Ameri, Pietro, Inciardi, Riccardo M, Di Pasquale, Mattia, Agostoni, Piergiuseppe, Bellasi, Antonio, Camporotondo, Rita, Canale, Claudia, Carubelli, Valentina, Carugo, Stefano, Catagnano, Francesco, Danzi, Giambattista, Vecchia, Laura Dalla, Giovinazzo, Stefano, Gnecchi, Massimiliano, Guazzi, Marco, Iorio, Anita, La Rovere, Maria Teresa, Leonardi, Sergio, Maccagni, Gloria, Mapelli, Massimo, Margonato, Davide, Merlo, Marco, Monzo, Luca, Mortara, Andrea, Nuzzi, Vincenzo, Piepoli, Massimo, Porto, Italo, Pozzi, Andrea, Provenzale, Giovanni, Sarullo, Filippo, Sinagra, Gianfranco, Tedino, Chiara, Tomasoni, Daniela, Volterrani, Maurizio, Zaccone, Gregorio, Lombardi, Carlo Mario, Senni, Michele, Metra, Marco, Ameri, P, Inciardi, R, Di Pasquale, M, Agostoni, P, Bellasi, A, Camporotondo, R, Canale, C, Carubelli, V, Carugo, S, Catagnano, F, Danzi, G, Dalla Vecchia, L, Giovinazzo, S, Gnecchi, M, Guazzi, M, Iorio, A, La Rovere, M, Leonardi, S, Maccagni, G, Mapelli, M, Margonato, D, Merlo, M, Monzo, L, Mortara, A, Nuzzi, V, Piepoli, M, Porto, I, Pozzi, A, Provenzale, G, Sarullo, F, Sinagra, G, Tedino, C, Tomasoni, D, Volterrani, M, Zaccone, G, Lombardi, C, Senni, M, and Metra, M

Subjects
Male, 030204 cardiovascular system & hematology, Cohort Studies, chemistry.chemical_compound, 0302 clinical medicine, Risk Factors, Coagulopathy, 80 and over, Medicine, 030212 general & internal medicine, Hospital Mortality, Anticoagulant, COVID-19, d-dimer, Death, Thromboembolism, Tomography, Aged, 80 and over, education.field_of_study, Incidence (epidemiology), Incidence, Respiration, General Medicine, Middle Aged, Pulmonary embolism, X-Ray Computed, Hospitalization, Italy, Artificial, Breathing, Cardiology, Female, Cardiology and Cardiovascular Medicine, medicine.drug, medicine.medical_specialty, Population, Hemorrhage, Fibrin Fibrinogen Degradation Products, 03 medical and health sciences, Tocilizumab, Internal medicine, Humans, D-dimer, Aged, Follow-Up Studies, Pulmonary Embolism, Respiration, Artificial, Retrospective Studies, Tomography, X-Ray Computed, education, Original Paper, business.industry, medicine.disease, chemistry, Heart failure, Ritonavir, business, Kidney disease
Abstract

Background Pulmonary embolism (PE) has been described in coronavirus disease 2019 (COVID-19) critically ill patients, but the evidence from more heterogeneous cohorts is limited. Methods Data were retrospectively obtained from consecutive COVID-19 patients admitted to 13 Cardiology Units in Italy, from March 1st to April 9th, 2020, and followed until in-hospital death, discharge, or April 23rd, 2020. The association of baseline variables with computed tomography-confirmed PE was investigated by Cox hazards regression analysis. The relationship between d-dimer levels and PE incidence was evaluated using restricted cubic splines models. Results The study included 689 patients (67.3 ± 13.2 year-old, 69.4% males), of whom 43.6% were non-invasively ventilated and 15.8% invasively. 52 (7.5%) had PE over 15 (9–24) days of follow-up. Compared with those without PE, these subjects had younger age, higher BMI, less often heart failure and chronic kidney disease, more severe cardio-pulmonary involvement, and higher admission d-dimer [4344 (1099–15,118) vs. 818.5 (417–1460) ng/mL, p p p = 0.06). In multivariate regression, only d-dimer was associated with PE (HR 1.72, 95% CI 1.13–2.62; p = 0.01). The relation between d-dimer concentrations and PE incidence was linear, without inflection point. Only two subjects had a baseline d-dimer Conclusions PE occurs in a sizable proportion of hospitalized COVID-19 patients. The implications of bleeding events and the role of d-dimer in this population need to be clarified. Graphic abstract

Published
2021

14. Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits

Author

Yalda Jamshidi, Paul I.W. de Bakker, J. Wouter Jukema, Ilaria Gandin, Monika Stoll, Christopher P. Nelson, Moritz F. Sinner, Eco J. C. de Geus, André G. Uitterlinden, Jan A. Kors, Vilmundur Gudnason, Sheila Ulivi, Jouke-Jan Hottenga, Terho Lehtimäki, Antonietta Robino, Mark Eijgelsheim, Annamaria Iorio, Niek Verweij, Martina Müller-Nurasyid, Ian Ford, Hao Mei, James G. Wilson, Albert V. Smith, Thomas Meitinger, Gianfranco Sinagra, Claudia T. Silva Aldana, Maartje N. Niemeijer, Torben Hansen, Allan Linneberg, Jennifer A. Brody, Pim van der Harst, Stella Trompet, Paolo Gasparini, Bram P. Prins, Stefan Kääb, Hamdi Mbarek, Alvaro Alonso, Leanne M. Hall, Helen R. Warren, Dan E. Arking, Peter W. Macfarlane, Annette Peters, Olli T. Raitakari, Daiane Hemerich, Mark J. Caulfield, Folkert W. Asselbergs, Dorret I. Boomsma, Aaron Isaacs, Bruno H. Stricker, Tamara B. Harris, Susan R. Heckbert, Jessica van Setten, Niels Grarup, Patricia B. Munroe, Leo-Pekka Lyytikäinen, Nilesh J. Samani, Cornelia M. van Duijn, Elsayed Z. Soliman, Nona Sotoodehnia, Jørgen K. Kanters, Melanie Waldenberger, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, APH - Methodology, APH - Personalized Medicine, Erasmus MC other, Epidemiology, Medical Informatics, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, van Setten, Jessica, Verweij, Niek, Mbarek, Hamdi, Niemeijer, Maartje N., Trompet, Stella, Arking, Dan E., Brody, Jennifer A., Gandin, Ilaria, Grarup, Niel, Hall, Leanne M., Hemerich, Daiane, Lyytikäinen, Leo-Pekka, Mei, Hao, Müller-Nurasyid, Martina, Prins, Bram P., Robino, Antonietta, Smith, Albert V., Warren, Helen R., Asselbergs, Folkert W., Boomsma, Dorret I., Caulfield, Mark J., Eijgelsheim, Mark, Ford, Ian, Hansen, Torben, Harris, Tamara B., Heckbert, Susan R., Hottenga, Jouke-Jan, Iorio, Anita, Kors, Jan A., Linneberg, Allan, Macfarlane, Peter W., Meitinger, Thoma, Nelson, Christopher P., Raitakari, Olli T., Silva Aldana, Claudia T., Sinagra, Gianfranco, Sinner, Moritz, Soliman, Elsayed Z., Stoll, Monika, Uitterlinden, Andre, van Duijn, Cornelia M., Waldenberger, Melanie, Alonso, Alvaro, Gasparini, Paolo, Gudnason, Vilmundur, Jamshidi, Yalda, Kääb, Stefan, Kanters, Jørgen K., Lehtimäki, Terho, Munroe, Patricia B., Peters, Annette, Samani, Nilesh J., Sotoodehnia, Nona, Ulivi, Sheila, Wilson, James G., de Geus, Eco J. C., Jukema, J. Wouter, Stricker, Bruno, van der Harst, Pim, de Bakker, Paul I. W., Isaacs, Aaron, Cardiovascular Centre (CVC), Biochemie, RS: FHML MaCSBio, RS: CARIM - R1 - Thrombosis and haemostasis, and RS: Carim - B01 Blood proteins & engineering

Subjects
Male, Netherlands Twin Register (NTR), Genetics, Genetics (clinical), PROTEIN, Genome-wide association study, Quantitative trait, Genome-wide association studies, ANNOTATION, Gene locus, Electrocardiography, Computer model, Netherlands, Priority journal, Allele, 0303 health sciences, Genome, Rr interval, 030305 genetics & heredity, COMMON VARIANTS, ddc, GLUCOCORTICOID-RECEPTOR, Qrs interval, Female, Cohort analysis, Erfðarannsóknir, PHOSPHOLAMBAN, Human, QT INTERVAL DURATION, Genotype, Heart rate, HEART-RATE, Exon, Single-nucleotide polymorphism, Major clinical study, Biology, Quantitative trait locus, Dutchman, Polymorphism, Single Nucleotide, QT interval, Article, Sample, 03 medical and health sciences, QRS complex, Genetic, SDG 3 - Good Health and Well-being, Humans, PR interval, Gene mapping, Genetic association, MUTATIONS, Follow up, CONTRACTILITY, DNA-rannsóknir, R1, Gene frequency, POLYMORPHISM, Electrocardiogram, Single nucleotide polymorphism, Minor allele frequency, Genetic Loci, Meta analysis, Qt interval, Genome-Wide Association Study
Abstract

Publisher's version (útgefin grein), Genome-wide association studies (GWAS) of quantitative electrocardiographic (ECG) traits in large consortia have identified more than 130 loci associated with QT interval, QRS duration, PR interval, and heart rate (RR interval). In the current study, we meta-analyzed genome-wide association results from 30,000 mostly Dutch samples on four ECG traits: PR interval, QRS duration, QT interval, and RR interval. SNP genotype data was imputed using the Genome of the Netherlands reference panel encompassing 19 million SNPs, including millions of rare SNPs (minor allele frequency < 5%). In addition to many known loci, we identified seven novel locus-trait associations: KCND3, NR3C1, and PLN for PR interval, KCNE1, SGIP1, and NFKB1 for QT interval, and ATP2A2 for QRS duration, of which six were successfully replicated. At these seven loci, we performed conditional analyses and annotated significant SNPs (in exons and regulatory regions), demonstrating involvement of cardiac-related pathways and regulation of nearby genes., Folkert W. Asselbergs is supported by UCL Hospitals NIHR Biomedical Research Centre.

Published
2019

15. Insights from Cardiac Mechanics after Three Decades from Successfully Repaired Aortic Coarctation.

Author

Faganello G, Fisicaro M, Russo G, Iorio A, Mazzone C, Grande E, Humar F, Cherubini A, Pandullo C, Barbati G, Tarantini L, Benettoni A, Pozzi M, Di Lenarda A, and Cioffi G

Subjects
Adult, Aortic Coarctation complications, Aortic Coarctation diagnostic imaging, Aortic Coarctation physiopathology, Biomechanical Phenomena, Case-Control Studies, Echocardiography, Doppler, Female, Humans, Italy, Magnetic Resonance Imaging, Male, Middle Aged, Stroke Volume, Time Factors, Treatment Outcome, Ventricular Dysfunction, Left diagnostic imaging, Ventricular Dysfunction, Left etiology, Young Adult, Aortic Coarctation surgery, Cardiac Surgical Procedures adverse effects, Ventricular Dysfunction, Left physiopathology, Ventricular Function, Left
Abstract

Background and Aims: Patients who underwent a successful repair of the aortic coarctation show chronic hyperdynamic state and normal left ventricular (LV) geometry; however, there are few data regarding the LV systolic function in the long term. Accordingly, we assessed LV systolic mechanics and factors associated with LV systolic dysfunction (LVSD) in patients with repaired CoA., Methods: Clinical and echocardiographic data from 19 repaired CoA were analyzed 28 ± 13 years after surgery. Stress-corrected midwall shortening (sc-MS) and mitral annular peak systolic velocity (S') were analyzed as indexes of LV circumferential and longitudinal systolic function, respectively. Echocardiographic data of CoA patients were compared with 19 patients matched for age and hypertension and 38 healthy controls. Sc-MS was considered impaired if <89%, S' if <8.5 cm/s (10th percentiles of healthy controls, respectively)., Results: There were no statistical differences between study groups in LV volumes, mass and geometry. LV ejection fraction and Sc-MS were similar in all groups, however, CoA group had a significantly lower peak S' in comparison with matched and healthy controls (7.1 ± 1.3, 10.3 ± 1.9, and 11.1 ± 1.5, respectively; all P < 0.001). Prevalence of longitudinal LVSD defined as low S' was 84% in CoA, 13% in matched, and 5% in healthy control group (all P<0.05). Multivariate logistic regression analysis revealed that low peak S' was independently related to higher E/E' ratio and the presence of CoA., Conclusions: Patients who underwent a successful repair of CoA commonly show asymptomatic longitudinal LVSD associated with worse LV diastolic function in the long-term follow-up., (© 2015 Wiley Periodicals, Inc.)

Published
2016
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