Browsing by Author "Pavanello, Chiara"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
- Generation and validation of a classification model to diagnose familial hypercholesterolaemia in adultsPublication . Albuquerque, João; Medeiros, Ana Margarida; Alves, Ana Catarina; Jannes, Cinthia Elim; Mancina, Rosellina M.; Pavanello, Chiara; Chora, Joana Rita; Mombelli, Giuliana; Calabresi, Laura; Pereira, Alexandre da Costa; Krieger, José Eduardo; Romeo, Stefano; Bourbon, Mafalda; Antunes, MaríliaBackground and aims: The early diagnosis of familial hypercholesterolaemia is associated with a significant reduction in cardiovascular disease (CVD) risk. While the recent use of statistical and machine learning algorithms has shown promising results in comparison with traditional clinical criteria, when applied to screening of potential FH cases in large cohorts, most studies in this field are developed using a single cohort of patients, which may hamper the application of such algorithms to other populations. In the current study, a logistic regression (LR) based algorithm was developed combining observations from three different national FH cohorts, from Portugal, Brazil and Sweden. Independent samples from these cohorts were then used to test the model, as well as an external dataset from Italy. Methods: The area under the receiver operating characteristics (AUROC) and precision-recall (AUPRC) curves was used to assess the discriminatory ability among the different samples. Comparisons between the LR model and Dutch Lipid Clinic Network (DLCN) clinical criteria were performed by means of McNemar tests, and by the calculation of several operating characteristics. Results: AUROC and AUPRC values were generally higher for all testing sets when compared to the training set. Compared with DLCN criteria, a significantly higher number of correctly classified observations were identified for the Brazilian (p < 0.01), Swedish (p < 0.01), and Italian testing sets (p < 0.01). Higher accuracy (Acc), G mean and F1 score values were also observed for all testing sets. Conclusions: Compared to DLCN criteria, the LR model revealed improved ability to correctly classify observations, and was able to retain a similar number of FH cases, with less false positive retention. Generalization of the LR model was very good across all testing samples, suggesting it can be an effective screening tool if applied to different populations.
- Worldwide experience of homozygous familial hypercholesterolaemia: retrospective cohort studyPublication . Tromp, Tycho R.; Hartgers, Merel L.; Hovingh, G Kees; Vallejo-Vaz, Antonio J.; Ray, Kausik K.; Soran, Handrean; Freiberger, Tomas; Bertolini, Stefano; Harada-Shiba, Mariko; Blom, Dirk J.; Raal, Frederick J.; Cuchel, Marina; Tromp, Tycho R.; Hartgers, Merel L.; Hovingh, G. Kees; Vallejo-Vaz, Antonio J.; Ray, Kausik K.; Soran, Handrean; Freiberger, Tomas; Bertolini, Stefano A.; Harada-Shiba, Mariko; Pang, Jing; Watts, Gerald F.; Greber-Platzer, Susanne; Mäser, Martin; Stulnig, Thomas M.; Ebenbichler, Christoph F.; Bin Thani, Khalid; Cassiman, David; Descamps, Olivier S.; Rymen, Daisy; Witters, Peter; Santos, Raul D.; Brunham, Liam R.; Francis, Gordon A.; Genest, Jacques; Hegele, Robert A.; Kennedy, Brooke A.; Ruel, Isabelle; Sherman, Mark H.; Jiang, Long; Wang, Luya; Reiner, Željko; Blaha, Vladimir; Ceska, Richard; Dvorakova, Jana; Dlouhy, Lubomir; Horak, Pavel; Soska, Vladimir; Tichy, Lukas; Urbanek, Robin; Vaverkova, Helena; Vrablik, Michal; Zemek, Stanislav; Zlatohlavek, Lukas; Emil, Sameh; Naguib, Tarek; Reda, Ashraf; Béliard, Sophie; Bruckert, Eric; Gallo, Antonio; Elisaf, Moses S.; Kolovou, Genovefa; Cohen, Hofit; Durst, Ronen; Dann, Eldad J.; Elis, Avishay; Hussein, Osama; Leitersdorf, Eran; Schurr, Daniel; Setia, Nitika; Verma, Ishwar C.; Alareedh, Mohammed D.; Al-Khnifsawi, Mutaz; Abdalsahib Al-Zamili, Ali F.; Rhadi, Sabah H.; Shaghee, Foaad K.; Arca, Marcello; Averna, Maurizio; Bartuli, Andrea; Bucci, Marco; Buonuomo, Paola S.; Calabrò, Paolo; Calandra, Sebastiano; Casula, Manuela; Catapano, Alberico L.; Cefalù, Angelo B.; Cicero, Arrigo F.G.; D'Addato, Sergio; D'Erasmo, Laura; Di Costanzo, Alessia; Fasano, Tommaso; Gazzotti, Marta; Giammanco, Antonina; Iannuzzo, Gabriella; Ibba, Anastasia; Negri, Emanuele A.; Pasta, Andrea; Pavanello, Chiara; Pisciotta, Livia; Rabacchi, Claudio; Ripoli, Carlo; Sampietro, Tiziana; Sbrana, Francesco; Sileo, Fulvio; Suppressa, Patrizia; Tarugi, Patrizia; Trenti, Chiara; Zenti, Maria G.; Hori, Mika; Ayesh, Mahmoud H.; Azar, Sami T.; Bitar, Fadi F.; Fahed, Akl C.; Moubarak, Elie M.; Nemer, Georges; Nawawi, Hapizah M.; Madriz, Ramón; Mehta, Roopa; Cupido, Arjen J.; Defesche, Joep C.; Reijman, M. Doortje; Roeters-van Lennep, Jeanine E.; Stroes, Erik S.G.; Wiegman, Albert; Zuurbier, Linda; Al-Waili, Khalid; Sadiq, Fouzia; Chlebus, Krzysztof; Bourbon, Mafalda; Gaspar, Isabel M.; Lalic, Katarina S.; Ezhov, Marat V.; Susekov, Andrey V.; Groselj, Urh; Charng, Min-Ji; Khovidhunkit, Weerapan; Aktan, Melih; Altunkeser, Bulent B.; Demircioglu, Sinan; Kose, Melis; Gokce, Cumali; Ilhan, Osman; Kayikcioglu, Meral; Kaynar, Leyla G.; Kuku, Irfan; Kurtoglu, Erdal; Okutan, Harika; Ozcebe, Osman I.; Pekkolay, Zafer; Sag, Saim; Salcioglu, Osman Z.; Temizhan, Ahmet; Yenercag, Mustafa; Yilmaz, Mehmet; Yilmaz Yasar, Hamiyet; Mitchenko, Olena; Lyons, Alexander R.M.; Stevens, Christophe A.T.; Brothers, Julie A.; Hudgins, Lisa C.; Nguyen, Christina; Alieva, Rano; Shek, Aleksandr; Do, Doan-Loi; Kim, Ngoc-Thanh; Le, Hong-An; Le, Thanh-Tung; Nguyen, Mai-Ngoc T.; Truong, Thanh-Huong; Blom, Dirk J.; Raal, Frederick J.; Cuchel, MarinaBackground: Homozygous familial hypercholesterolaemia (HoFH) is a rare inherited disorder resulting in extremely elevated low-density lipoprotein cholesterol levels and premature atherosclerotic cardiovascular disease (ASCVD). Current guidance about its management and prognosis stems from small studies, mostly from high-income countries. The objective of this study was to assess the clinical and genetic characteristics, as well as the impact, of current practice on health outcomes of HoFH patients globally. Methods: The HoFH International Clinical Collaborators registry collected data on patients with a clinical, or genetic, or both, diagnosis of HoFH using a retrospective cohort study design. This trial is registered with ClinicalTrials.gov, NCT04815005. Findings: Overall, 751 patients from 38 countries were included, with 565 (75%) reporting biallelic pathogenic variants. The median age of diagnosis was 12·0 years (IQR 5·5-27·0) years. Of the 751 patients, 389 (52%) were female and 362 (48%) were male. Race was reported for 527 patients; 338 (64%) patients were White, 121 (23%) were Asian, and 68 (13%) were Black or mixed race. The major manifestations of ASCVD or aortic stenosis were already present in 65 (9%) of patients at diagnosis of HoFH. Globally, pretreatment LDL cholesterol levels were 14·7 mmol/L (IQR 11·6-18·4). Among patients with detailed therapeutic information, 491 (92%) of 534 received statins, 342 (64%) of 534 received ezetimibe, and 243 (39%) of 621 received lipoprotein apheresis. On-treatment LDL cholesterol levels were lower in high-income countries (3·93 mmol/L, IQR 2·6-5·8) versus non-high-income countries (9·3 mmol/L, 6·7-12·7), with greater use of three or more lipid-lowering therapies (LLT; high-income 66% vs non-high-income 24%) and consequently more patients attaining guideline-recommended LDL cholesterol goals (high-income 21% vs non-high-income 3%). A first major adverse cardiovascular event occurred a decade earlier in non-high-income countries, at a median age of 24·5 years (IQR 17·0-34·5) versus 37·0 years (29·0-49·0) in high-income countries (adjusted hazard ratio 1·64, 95% CI 1·13-2·38). Interpretation: Worldwide, patients with HoFH are diagnosed too late, undertreated, and at high premature ASCVD risk. Greater use of multi-LLT regimens is associated with lower LDL cholesterol levels and better outcomes. Significant global disparities exist in treatment regimens, control of LDL cholesterol levels, and cardiovascular event-free survival, which demands a critical re-evaluation of global health policy to reduce inequalities and improve outcomes for all patients with HoFH.
