Browsing by Author "Ray, Kausik K."
Now showing 1 - 4 of 4
Results Per Page
Sort Options
- Improving the Detection of Potential Cases of Familial Hypercholesterolemia: Could Machine Learning Be Part of the Solution?Publication . Stevens, Christophe A.T.; Vallejo‐Vaz, Antonio J.; Chora, Joana R.; Barkas, Fotis; Brandts, Julia; Mahani, Alireza; Abar, Leila; Sharabiani, Mansour T.A.; Ray, Kausik K.Background: Familial hypercholesterolemia (FH), while highly prevalent, is a significantly underdiagnosed monogenic disorder. Improved detection could reduce the large number of cardiovascular events attributable to poor case finding. We aimed to assess whether machine learning algorithms outperform clinical diagnostic criteria (signs, history, and biomarkers) and the recommended screening criteria in the United Kingdom in identifying individuals with FH-causing variants, presenting a scalable screening criteria for general populations. Methods and results: Analysis included UK Biobank participants with whole exome sequencing, classifying them as having FH when (likely) pathogenic variants were detected in their LDLR, APOB, or PCSK9 genes. Data were stratified into 3 data sets for (1) feature importance analysis; (2) deriving state-of-the-art statistical and machine learning models; (3) evaluating models' predictive performance against clinical diagnostic and screening criteria: Dutch Lipid Clinic Network, Simon Broome, Make Early Diagnosis to Prevent Early Death, and Familial Case Ascertainment Tool. One thousand and three of 454 710 participants were classified as having FH. A Stacking Ensemble model yielded the best predictive performance (sensitivity, 74.93%; precision, 0.61%; accuracy, 72.80%, area under the receiver operating characteristic curve, 79.12%) and outperformed clinical diagnostic criteria and the recommended screening criteria in identifying FH variant carriers within the validation data set (figures for Familial Case Ascertainment Tool, the best baseline model, were 69.55%, 0.44%, 65.43%, and 71.12%, respectively). Our model decreased the number needed to screen compared with the Familial Case Ascertainment Tool (164 versus 227). Conclusions: Our machine learning-derived model provides a higher pretest probability of identifying individuals with a molecular diagnosis of FH compared with current approaches. This provides a promising, cost-effective scalable tool for implementation into electronic health records to prioritize potential FH cases for genetic confirmation.
- Overview of the current status of familial hypercholesterolaemia care in over 60 countries - The EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC)Publication . EAS Familial Hypercholesterolaemia Studies Collaboration; Vallejo-Vaz, Antonio J.; De Marco, Martina; Stevens, Christophe A.T.; Akram, Asif; Freiberger, Tomas; Hovingh, G. Kees; Kastelein, John J.P.; Mata, Pedro; Raal, Frederick J.; Santos, Raul D.; Soran, Handrean; Watts, Gerald F.; Abifadel, Marianne; Aguilar-Salinas, Carlos A.; Al-Khnifsawi, Mutaz; AlKindi, Fahad A.; Alnouri, Fahad; Alonso, Rodrigo; Al-Rasadi, Khalid; Al-Sarraf, Ahmad; Ashavaid, Tester F.; Binder, Christoph J.; Bogsrud, Martin P.; Bourbon, Mafalda; Bruckert, Eric; Chlebus, Krzysztof; Corral, Pablo; Descamps, Olivier; Durst, Ronen; Ezhov, Marat; Fras, Zlatko; Genest, Jacques; Groselj, Urh; Harada-Shiba, Mariko; Kayikcioglu, Meral; Lalic, Katarina; Lam, Carolyn S.P.; Latkovskis, Gustavs; Laufs, Ulrich; Liberopoulos, Evangelos; Lin, Jie; Maher, Vincent; Majano, Nelson; Marais, A. David; März, Winfried; Mirrakhimov, Erkin; Miserez, André R.; Mitchenko, Olena; Nawawi, Hapizah M.; Nordestgaard, Børge G.; Paragh, György; Petrulioniene, Zaneta; Pojskic, Belma; Postadzhiyan, Arman; Reda, Ashraf; Reiner, Željko; Sadoh, Wilson E.; Sahebkar, Amirhossein; Shehab, Abdullah; Shek, Aleksander B.; Stoll, Mario; Su, Ta-Chen; Subramaniam, Tavintharan; Susekov, Andrey V.; Symeonides, Phivos; Tilney, Myra; Tomlinson, Brian; Truong, Thanh-Huong; Tselepis, Alexandros D.; Tybjærg-Hansen, Anne; Vázquez-Cárdenas, Alejandra; Viigimaa, Margus; Vohnout, Branislav; Widén, Elisabeth; Yamashita, Shizuya; Banach, Maciej; Gaita, Dan; Jiang, Lixin; Nilsson, Lennart; Santos, Lourdes E.; Schunkert, Heribert; Tokgözoğlu, Lale; Car, Josip; Catapano, Alberico L.; Ray, Kausik K.; Hypercholesterolaemia Studies Collaboration (FHSC) InvestigatorsManagement of familial hypercholesterolaemia (FH) may vary across different settings due to factors related to population characteristics, practice, resources and/or policies. We conducted a survey among the worldwide network of EAS FHSC Lead Investigators to provide an overview of FH status in different countries.
- Overweight, Obesity, And Cardiovascular Disease In Heterozygous Familial Hypercholesterolaemia: The EAS FH Studies Collaboration RegistryPublication . Elshorbagy, Amany; Vallejo-Vaz, Antonio J.; Barkas, Fotios; Lyons, Alexander R.M.; Stevens, Christophe A.T.; Dharmayat, Kanika I.; Catapano, Alberico L.; Freiberger, Tomas; Hovingh, G. Kees; Mata, Pedro; Raal, Frederick J.; Santos, Raul D.; Soran, Handrean; Watts, Gerald F.; Abifadel, Marianne; Aguilar-Salinas, Carlos A.; Alhabib, Khalid F.; Alkhnifsawi, Mutaz; Almahmeed, Wael; Alnouri, Fahad; Alonso, Rodrigo; Al-Rasadi, Khalid; Al-Sarraf, Ahmad; Arca, Marcello; Ashavaid, Tester F.; Averna, Maurizio; Banach, Maciej; Becker, Marianne; Binder, Christoph J.; Bourbon, Mafalda; Brunham, Liam R.; Chlebus, Krzysztof; Corral, Pablo; Cruz, Diogo; Davletov, Kairat; Descamps, Olivier S.; Dwiputra, Bambang; Ezhov, Marat; Groselj, Urh; Harada-Shiba, Mariko; Holven, Kirsten B.; Humphries, Steve E.; Kayikcioglu, Meral; Khovidhunkit, Weerapan; Lalic, Katarina; Latkovskis, Gustavs; Laufs, Ulrich; Liberopoulos, Evangelos; Lima-Martinez, Marcos M.; Maher, Vincent; Marais, A David; März, Winfried; Mirrakhimov, Erkin; Miserez, André R.; Mitchenko, Olena; Nawawi, Hapizah; Nordestgaard, Børge G.; Panayiotou, Andrie G.; Paragh, György; Petrulioniene, Zaneta; Pojskic, Belma; Postadzhiyan, Arman; Reda, Ashraf; Reiner, Željko; Reyes, Ximena; Sadiq, Fouzia; Sadoh, Wilson Ehidiamen; Schunkert, Heribert; Shek, Aleksandr B.; Stroes, Erik; Su, Ta-Chen; Subramaniam, Tavintharan; Susekov, Andrey V.; Tilney, Myra; Tomlinson, Brian; Truong, Thanh Huong; Tselepis, Alexandros D.; Tybjærg-Hansen, Anne; Vázquez-Cárdenas, Alejandra; Viigimaa, Margus; Vohnout, Branislav; Yamashita, Shizuya; Ray, Kausik K.; EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC)Background and aims: Overweight and obesity are modifiable risk factors for atherosclerotic cardiovascular disease (ASCVD) in the general population, but their prevalence in individuals with heterozygous familial hypercholesterolaemia (HeFH) and whether they confer additional risk of ASCVD independent of LDL cholesterol (LDL-C) remains unclear. Methods: Cross-sectional analysis was conducted in 35 540 patients with HeFH across 50 countries, in the EAS FH Studies Collaboration registry. Prevalence of World Health Organization-defined body mass index categories was investigated in adults (n = 29 265) and children/adolescents (n = 6275); and their association with prevalent ASCVD. Results: Globally, 52% of adults and 27% of children with HeFH were overweight or obese, with the highest prevalence noted in Northern Africa/Western Asia. A higher overweight/obesity prevalence was found in non-high-income vs. high-income countries. Median age at familial hypercholesterolaemia diagnosis in adults with obesity was 9 years older than in normal weight adults. Obesity was associated with a more atherogenic lipid profile independent of lipid-lowering medication. Prevalence of coronary artery disease increased progressively across body mass index categories in both children and adults. Compared with normal weight, obesity was associated with higher odds of coronary artery disease in children (odds ratio 9.28, 95% confidence interval 1.77-48.77, adjusted for age, sex, lipids, and lipid-lowering medication) and coronary artery disease and stroke in adults (odds ratio 2.35, 95% confidence interval 2.10-2.63 and odds ratio 1.65, 95% confidence interval 1.27-2.14, respectively), but less consistently with peripheral artery disease. Adjusting for diabetes, hypertension and smoking modestly attenuated the associations. Conclusions: Overweight and obesity are common in patients with HeFH and contribute to ASCVD risk from childhood, independent of LDL-C and lipid-lowering medication. Sustained body weight management is needed to reduce the risk of ASCVD in HeFH.
- 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.