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1. Impact of the COVID-19 pandemic on psychotropic prescribing: a systematic review

Author

Nikolaos Mastellos, Marie line El Asmar, Kanika I Dharmayat, Antonio J Vallejo-Vaz, Ryan Irwin, and Swettha Mahesarajah

Subjects
Medicine
Abstract

Objectives The global prevalence of mental health disorders has risen significantly since the beginning of the COVID-19 pandemic. The pandemic has additionally caused disruption to mental health services, leading to a shift from in-person to remote service delivery. Given its long-term impact, it has become critical to evaluate whether changes in health delivery during the pandemic have had an effect on prescribing patterns for commonly prescribed psychotropic drugs. This study aims to assess the impact of the COVID-19 pandemic on changes in psychotropic prescribing patterns in adults, as well as differences in prescribing in different healthcare delivery approaches across various geographical contexts.Design and eligibility requirements Systematic review of cohort, interrupted time-series and cross-sectional studies examining prescribing trends for at least one commonly prescribed psychotropic drug during and after COVID-19 in accessing care remotely or face to face between 1 January 2020 and 17 June 2022.Data sources MEDLINE, EMBASE, CINAHL, HMIC and PsycINFO databases were searched in addition to citation chaining of relevant reviews.Extraction and analysis Study screening, data extraction and quality assessment were completed by two independent reviewers. The PECO strategy was used to devise the systematic review and findings were synthesised narratively.Results 16 studies were eligible for inclusion. Studies documenting changes in psychotropic prescribing trends provided very conflicting findings. There were no stark differences in prescribing outcomes between different healthcare delivery methods (ie, face-to-face consultations vs remote consultations). A noteworthy finding was that the prescribing rate of benzodiazepines was higher in women than men. No particular trends were observed for the prescription rates of hypnotics, antidepressants or antipsychotics.Conclusions Findings support mixed trends in the prescription of psychotropic medications in a range of settings, hindering conclusive statements on COVID-19’s impact on prescribing. In areas where remote consultations are in use, more comprehensive research is required to assess the safety of prescribing in these settings to inform public health policy and assess if the observed trends in our systematic review persist over time (given the increased consideration of remote and telehealth care in delivering services), particularly the safe and effective deployment of these services.

Published
2024
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2. Ensemble machine learning methods in screening electronic health records: A scoping review

Author

Christophe AT Stevens, Alexander RM Lyons, Kanika I Dharmayat, Alireza Mahani, Kausik K Ray, Antonio J Vallejo-Vaz, and Mansour TA Sharabiani

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Background Electronic health records provide the opportunity to identify undiagnosed individuals likely to have a given disease using machine learning techniques, and who could then benefit from more medical screening and case finding, reducing the number needed to screen with convenience and healthcare cost savings. Ensemble machine learning models combining multiple prediction estimates into one are often said to provide better predictive performances than non-ensemble models. Yet, to our knowledge, no literature review summarises the use and performances of different types of ensemble machine learning models in the context of medical pre-screening. Method We aimed to conduct a scoping review of the literature reporting the derivation of ensemble machine learning models for screening of electronic health records. We searched EMBASE and MEDLINE databases across all years applying a formal search strategy using terms related to medical screening, electronic health records and machine learning. Data were collected, analysed, and reported in accordance with the PRISMA scoping review guideline. Results A total of 3355 articles were retrieved, of which 145 articles met our inclusion criteria and were included in this study. Ensemble machine learning models were increasingly employed across several medical specialties and often outperformed non-ensemble approaches. Ensemble machine learning models with complex combination strategies and heterogeneous classifiers often outperformed other types of ensemble machine learning models but were also less used. Ensemble machine learning models methodologies, processing steps and data sources were often not clearly described. Conclusions Our work highlights the importance of deriving and comparing the performances of different types of ensemble machine learning models when screening electronic health records and underscores the need for more comprehensive reporting of machine learning methodologies employed in clinical research.

Published
2023
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3. A mixed-method service evaluation of health information exchange in England: technology acceptance and barriers and facilitators to adoption

Author

Fiona Watkinson, Kanika I. Dharmayat, and Nikolaos Mastellos

Subjects
Health information exchange, Technology acceptance, Technology adoption, Unified theory of acceptance and use of technology, Normalisation process theory, Public aspects of medicine, RA1-1270
Abstract

Abstract Background The need for information exchange and integrated care has stimulated the development of interoperability solutions that bring together patient data across the health and care system to enable effective information sharing. Health Information Exchange (HIE) solutions have been shown to be effective in supporting patient care, however, user adoption often varies among users and care settings. This service evaluation aimed to measure user acceptance of HIE and explore barriers and facilitators to its wider uptake. Methods A mixed-method study design was used. A questionnaire was developed using the Unified Theory of Acceptance and Use of Technology and administered to HIE users to assess technology acceptance. Pearson Chi2 tests were used to examine differences in acceptance between user groups and care settings. Web-based, semi-structured interviews were conducted drawing on the Normalisation Process Theory to explore barriers and facilitators to adoption. Interview data were analysed thematically using the Framework Approach. Results A total of 105 HIE users completed the survey and another 12 participated in the interviews. Significant differences were found in HIE acceptance between users groups and care settings, with high adopters demonstrating higher acceptance and social care users showing lower acceptance. Participants identified several drivers to adoption, including increased information accessibility, better care coordination, informed decision-making, improved patient care, reduced duplication of procedures, and time and cost savings. However, they also highlighted a number of barriers, such as lack of awareness about the solution and its value, suboptimal communication strategies, inadequate training and lack of resources for knowledge dissemination, absence of champions to support the implementation, lack of end-user involvement in the implementation and evaluation of HIE, unclear accountability and responsibility for the overall success of the programme, and patient confidentiality concerns. Conclusions Working to better engage stakeholders, considering the needs of users from different care settings, providing users with training resources and support to increase their knowledge and confidence in using the system, developing implementation strategies to seek user feedback and monitor performance, and using communication strategies to increase awareness of the product and its value, can help improve uptake and adoption of HIE.

Published
2021
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4. FindMyLipidClinic.com: A global Directory of lipid clinics and patient organisations to improve dyslipidemia care: FindMyLipidClinic.com

Author

Christophe A.T. Stevens, Alexander R.M. Lyons, Kanika I. Dharmayat, Julia Brandts, Antonio J. Vallejo-Vaz, Magdalena Daccord, and Kausik K. Ray

Abstract

Information available on lipid clinics and patient support and advocacy groups, such as location and services provided, is limited or unknown to patients with dyslipidaemia and their family members who may also be affected, and non-specialist clinicians, hindering accessibility to appropriate healthcare. To overcome this, the European Atherosclerosis Society Familial Hypercholesterolemia Study Collaboration (EAS FHSC) led by Imperial College London has, in collaboration with the European FH Patient Network (FH Europe), developed FindMyLipidClinic.com, a global Directory of lipid clinics and patient support groups in 29 languages. Since its launch in 2020, around 4,000 visitors have conducted 12,000 searches across 1,100 locations, which may have retrieved up to 124 lipid clinics and 29 patient groups currently listed in 39 and 28 countries, respectively. Clinics and patient organisations not currently listed are encouraged to join this directory, and it would also benefit further from collaborations with other existing directories able to contribute.

Published
2022

5. Familial hypercholesterolemia

Author

Kausik K. Ray, Antonio J. Vallejo-Vaz, Kanika I. Dharmayat, and Julia Brandts

Subjects
Male, 0301 basic medicine, Multifactorial Inheritance, Primary hypercholesterolemia, Treatment adherence, Endocrinology, Diabetes and Metabolism, Familial hypercholesterolemia, Disease, 030204 cardiovascular system & hematology, Bioinformatics, Lipid Metabolism, Inborn Errors, Hyperlipoproteinemia Type II, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Genetics, Humans, Medicine, Genetic Predisposition to Disease, Genetic Testing, 1102 Cardiorespiratory Medicine and Haematology, Molecular Biology, Genetic testing, Nutrition and Dietetics, medicine.diagnostic_test, business.industry, nutritional and metabolic diseases, 1103 Clinical Sciences, Cholesterol, LDL, Cell Biology, Genetic Status, medicine.disease, Phenotype, 030104 developmental biology, Cardiovascular System & Hematology, 1101 Medical Biochemistry and Metabolomics, Clinical diagnosis, Mutation, Mutation (genetic algorithm), Female, lipids (amino acids, peptides, and proteins), Cardiology and Cardiovascular Medicine, business
Abstract

PURPOSE OF REVIEW: This review explores the concepts of monogenic and the so-called polygenic familial hypercholesterolemia and how the identification of familial hypercholesterolemia as a monogenic condition and its separation from polygenic primary hypercholesterolemia may have implications for clinical practice. RECENT FINDINGS: Through genetic testing, a mutation in any of the three known autosomal dominant familial hypercholesterolemia-causing genes is found in 60-80% of cases with a clinical diagnosis of definite familial hypercholesterolemia. As individuals with a polygenic basis for their hypercholesterolemia do not follow the same inheritance pattern observed in monogenic familial hypercholesterolemia, the use of family-based cascade screening in individuals with a polygenic origin is not recommend, as only 30% of relatives have an elevated LDL-C compared to the 50% in monogenic families. The presence of a causative monogenic mutation associates the highest cardiovascular risk vs. not having a mutation or having a polygenic background, providing prognostic information independent of LDL-C. It may also help assess intensity of interventions. Treatment adherence also seems to be higher after monogenic confirmation of hypercholesterolemia. SUMMARY: Knowledge about the genetic status of an individual with clinical familial hypercholesterolemia (monogenic vs. polygenic) can provide a more informed understanding to evaluating risk, managing disease and opportunities for screening strategies.

Published
2020

6. Atherothrombotic residual risk in coronary and peripheral artery disease patients on guideline-recommended antiplatelet monotherapy: baseline preliminary results from the RESRISK study

Author

C P Carrasco, P McMahon, S T Fatoba, Kanika I. Dharmayat, N Nzeakor, Antonio J. Vallejo-Vaz, Kausik K. Ray, and E Tolani

Subjects
Residual risk, medicine.medical_specialty, business.industry, Arterial disease, Internal medicine, medicine, Cardiology, Disease, Guideline, Cardiology and Cardiovascular Medicine, business, Baseline (configuration management)
Abstract

Introduction Greater recognition of a multi-factorial approach to risk factor control and use of guideline-recommended evidence-based therapies, including antiplatelets, have led to a decline in recurrent cardiovascular (CV) events among those with atherosclerotic CV disease (ASCVD). While residual risk still persists, recent evidence-based therapies have emerged which could further attenuate CV risk in these individuals, including novel drugs adjunct to antiplatelet therapies. Purpose The RESRISK study aims to quantify the residual atherothrombotic risk among a routine care cohort with ASCVD on guideline-recommended antiplatelet monotherapy (APMT). As a first step, we assessed the characteristics of participants at entry in the study, including risk factor burden, comorbidities and use of evidence-based medications. Methods A retrospective (2010–18) cohort of 758,325 patients with coronary (CAD) or peripheral artery disease (PAD) aged ≥18 years was derived from the UK Clinical Practice Research Datalink. Patients were selected if they were on recommended APMT according to ESC guidelines and NICE (aspirin for CAD; clopidogrel for PAD), were diagnosed with CAD/PAD prior to initiating APMT, and had ≥1 year of baseline data prior to index date (date of first APMT prescription). History of atrial fibrillation and haemorrhagic stroke led to exclusion. Results 174,210 patients with CAD (and no prior history of PAD) and 11,050 patients with PAD (and no prior history of CAD) met the inclusion criteria. Within the selection process for the PAD cohort, 51,114 patients were excluded due to being prescribed aspirin instead of clopidogrel. Baseline characteristics are shown in Table. Mean age was ∼70 years for both cohorts. While prevalence of hypertension was similar in both cohorts, presence of diabetes was 1.6 times higher in PAD patients. Stroke was 2.5 times more prevalent among PAD patients. The proportion of patients with systolic/diastolic blood pressure ≤130/≤85 mmHg were 41.6%/84.5% for CAD and 32.2%/80.6% for PAD (corresponding numbers for ≤140/≤90 mmHg were 67.8%/93.4% for CAD, and 58.8%/91.1% for PAD). Mean LDL-C was 2.4±0.9 and 2.6±1.1 mmol/L in CAD and PAD patients, with 10.7% and 9.5% of them, respectively, having an LDL-C Conclusions Among a contemporary cohort with ASCVD on guideline-recommended APMT, risk factor burden is high and attainment of guideline-recommended targets remains largely suboptimal. Prevalence of diabetes among PAD patients is particularly high. A large gap exists between guideline recommendations and guideline-recommended goal attainment. Greater attention to risk factor control and use of appropriate evidence-based therapy is required to reduce the potential risk of recurrent events among this high-risk population. Subsequent follow-up analysis with linkage to outcomes will provide quantification of the consequences of current practice on residual risk. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): All financial support for this research has been provided by Bayer plc. Table 1

Published
2021

7. A meta-analysis of medications directed against PCSK9 in familial hypercholesterolemia

Author

John J.P. Kastelein, Julia Brandts, Rebecca Jones, Kausik K. Ray, Frederick J. Raal, Antonio J. Vallejo-Vaz, Mansour T. A. Sharabiani, Kanika I. Dharmayat, Universidad de Sevilla. Departamento de Medicina, Vascular Medicine, ACS - Pulmonary hypertension & thrombosis, and ACS - Atherosclerosis & ischemic syndromes

Subjects
0301 basic medicine, Oncology, medicine.medical_specialty, Apolipoprotein B, Genotype, Familial hypercholesterolemia, 030204 cardiovascular system & hematology, Hyperlipoproteinemia Type II, 03 medical and health sciences, 0302 clinical medicine, LDL-Cholesterol, Internal medicine, medicine, Humans, 1102 Cardiorespiratory Medicine and Haematology, Alirocumab, biology, business.industry, Anticholesteremic Agents, PCSK9, 1103 Clinical Sciences, Cholesterol, LDL, medicine.disease, Clinical trial, Study heterogeneity, Evolocumab, Meta-analysis, PCSK9 lowering medication, 030104 developmental biology, Pharmaceutical Preparations, Cardiovascular System & Hematology, biology.protein, Proprotein Convertase 9, Cardiology and Cardiovascular Medicine, business
Abstract

Background and aims Several medications targeting PCSK9 reduce LDL-cholesterol (LDL-C) in heterozygous familial hypercholesterolemia (HeFH). We aimed to assess in patients diagnosed clinically as HeFH, whether LDL-C reduction varied by different therapeutic approaches to PCSK9-targeting or by the underlying genetic variant. Methods We conducted a random-effects meta-analysis of randomised clinical trials assessing PCSK9-targeting therapies, namely alirocumab, evolocumab and inclisiran, in patients with clinically diagnosed HeFH and restricted analyses to those patients in whom genotypic data were available. A search of MEDLINE and Embase identified eligible trials published between inception and June 29, 2020. We included trials of sufficient duration to allow for a stable treatment effect: ~12 weeks for monoclonal antibodies (mAbs) (alirocumab, evolocumab) and ~1 year for small interfering RNA (siRNA) (inclisiran). Single-moderator meta-regression comparing mean percentage LDL-C reduction between mAbs and siRNA as well as PCSK9-targeting therapies between different genotypes was used to assess heterogeneity. Results Eight trials of HeFH met our inclusion criteria, including 1887 genotyped patients. Among monogenic HeFH cases (N = 1347) the LDL-C reduction from baseline was 46.12% (95%CI 48.4-43.9) for siRNA and 50.4% (59.3-41.4) for mAbs compared to control, without evidence of significant heterogeneity between treatment (QM = 0.32, df = 1, p = 0.57). Irrespective of therapeutic approach to PCSK9-targeting, reductions in LDL-C were generally consistent across genetic variants (LDL-Receptor variants, LDL-Receptor variants of unknown significance, Apolipoprotein B variants, two variants and no variant) (QM = 8.3, df = 4, p = 0.08). Conclusions Among patients with HeFH, the LDL-C-lowering effect of PCSK9-targeting medications did not show statistical heterogeneity across different drug-classes and across genetic variants.

Published
2021

8. Effect of computerised, knowledge-based, clinical decision support systems on patient-reported and clinical outcomes of patients with chronic disease managed in primary care settings: a systematic review

Author

Marie line El Asmar, Kanika I Dharmayat, Antonio J Vallejo-Vaz, Ryan Irwin, Nikolaos Mastellos, [El Asmar,ML] Self Care Academic Research Unit, Imperial College London, London, UK. [Dharmayat,KI] Department of Primary Care and Public Health, Imperial Centre for Cardiovascular Disease Prevention, Imperial College London, London, UK. [Vallejo-Vaz,AJ] Imperial Centre for Cardiovascular Disease Prevention (ICCP), Department of Primary Care and Public Health, School of Public Health, Imperial College London. London, United Kingdom, London, UK. [Vallejo-Vaz,AJ] Department of Medicine, Faculty of Medicine, University of Seville, Seville, Spain. [Vallejo-Vaz,AJ] Clinical Epidemiology and Vascular Risk, Instituto de Biomedicina de Sevilla, IBiS/Hospital Universitario Virgen del Rocío/Universidad de Sevilla/CSIC, Seville, Spain. [Irwin,R] Department of Primary Care Clinical Sciences, Institute of Applied Health Research, University of Birmingham, Birmingham, UK. [Mastellos,N] Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK., Universidad de Sevilla. Departamento de Medicina, Ministerio de Universidades, and Universidad de Sevilla

Subjects
Health Care::Health Services Administration::Patient Care Management::Delivery of Health Care [Medical Subject Headings], Diseases::Respiratory Tract Diseases::Bronchial Diseases::Asthma [Medical Subject Headings], IMPACT, Health Care::Health Services Administration::Patient Care Management::Disease Management [Medical Subject Headings], Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings], Diabetes mellitus, general medicine (see internal medicine), PRACTITIONER PERFORMANCE, health informatics, Information Science::Information Science::Medical Informatics::Medical Informatics Applications::Information Systems::Decision Support Systems, Clinical [Medical Subject Headings], Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Evaluation Studies as Topic::Clinical Trials as Topic::Controlled Clinical Trials as Topic::Randomized Controlled Trials as Topic [Medical Subject Headings], Diseases::Pathological Conditions, Signs and Symptoms::Pathologic Processes::Disease Attributes::Chronic Disease [Medical Subject Headings], General Medicine, Informática médica, General medicine, Primary care, Health Care::Health Services Administration::Patient Care Management::Comprehensive Health Care::Primary Health Care [Medical Subject Headings], PRACTICE GUIDELINES, Diseases::Nutritional and Metabolic Diseases::Metabolic Diseases::Lipid Metabolism Disorders::Dyslipidemias::Hyperlipidemias [Medical Subject Headings], Diseases::Musculoskeletal Diseases::Joint Diseases::Arthritis [Medical Subject Headings], General practice / Family practice, Life Sciences & Biomedicine, INTERVENTIONS, Adult, Health informatics, Information Science::Information Science::Information Storage and Retrieval [Medical Subject Headings], preventive medicine, Diseases::Nutritional and Metabolic Diseases::Metabolic Diseases::Glucose Metabolism Disorders::Diabetes Mellitus [Medical Subject Headings], Diseases::Musculoskeletal Diseases::Bone Diseases::Bone Diseases, Metabolic::Osteoporosis [Medical Subject Headings], Chronic disease, Information Science::Information Science::Information Services::Bibliography as Topic::Bibliometrics [Medical Subject Headings], 1117 Public Health and Health Services, primary care, Diseases::Cardiovascular Diseases::Vascular Diseases::Hypertension [Medical Subject Headings], Medicine, General & Internal, Medicina preventiva, Atención primaria de salud, General & Internal Medicine, Diabetes Mellitus, Humans, Diseases::Respiratory Tract Diseases::Lung Diseases::Lung Diseases, Obstructive::Pulmonary Disease, Chronic Obstructive [Medical Subject Headings], Patient Reported Outcome Measures, METAANALYSES, OF-CARDIOLOGY, Persons::Persons::Age Groups::Adult [Medical Subject Headings], RECORDS, Diseases::Cardiovascular Diseases::Vascular Diseases::Myocardial Ischemia [Medical Subject Headings], Preventive medicine, Science & Technology, Primary Health Care, MEDICATIONS, Enfermedad crónica, Diseases::Cardiovascular Diseases::Heart Diseases::Heart Failure [Medical Subject Headings], 1103 Clinical Sciences, Decision Support Systems, Clinical, Medicina interna, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Records as Topic::Medical Records::Medical Records Systems, Computerized::Electronic Health Records [Medical Subject Headings], Chronic Disease, 1199 Other Medical and Health Sciences
Abstract

[Objectives] Chronic diseases are the leading cause of disability globally. Most chronic disease management occurs in primary care with outcomes varying across primary care providers. Computerised clinical decision support systems (CDSS) have been shown to positively affect clinician behaviour by improving adherence to clinical guidelines. This study provides a summary of the available evidence on the effect of CDSS embedded in electronic health records on patient-reported and clinical outcomes of adult patients with chronic disease managed in primary care., [Design and eligibility criteria] Systematic review, including randomised controlled trials (RCTs), cluster RCTs, quasi-RCTs, interrupted time series and controlled before-and-after studies, assessing the effect of CDSS (vs usual care) on patient-reported or clinical outcomes of adult patients with selected common chronic diseases (asthma, chronic obstructive pulmonary disease, heart failure, myocardial ischaemia, hypertension, diabetes mellitus, hyperlipidaemia, arthritis and osteoporosis) managed in primary care., [Data sources] Medline, Embase, CENTRAL, Scopus, Health Management Information Consortium and trial register clinicaltrials.gov were searched from inception to 24 June 2020., [Data extraction and synthesis] Screening, data extraction and quality assessment were performed by two reviewers independently. The Cochrane risk of bias tool was used for quality appraisal., [Results] From 5430 articles, 8 studies met the inclusion criteria. Studies were heterogeneous in population characteristics, intervention components and outcome measurements and focused on diabetes, asthma, hyperlipidaemia and hypertension. Most outcomes were clinical with one study reporting on patient-reported outcomes. Quality of the evidence was impacted by methodological biases of studies., [Conclusions] There is inconclusive evidence in support of CDSS. A firm inference on the intervention effect was not possible due to methodological biases and study heterogeneity. Further research is needed to provide evidence on the intervention effect and the interplay between healthcare setting features, CDSS characteristics and implementation processes., [PROSPERO registration number] CRD42020218184.

Published
2021

9. Global perspective of familial hypercholesterolaemia: a cross-sectional study from the EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC)

Author

Jie Lin, Snejana Tisheva, Ishwar C. Verma, Francesco Cipollone, Liam R. Brunham, Florentina Predica, Perla A.C. Gonzalez, Jocelyne Inamo, André R. Miserez, Belma Pojskic, Michel Farnier, Avishay Ellis, Katia Bonomo, Ibrahim Al-Zakwani, Maria Grazia Zenti, Humberto A. Lopez, Khairul Shafiq Ibrahim, Erkin M. Mirrakhimov, Alexey Meshkov, Jose P. de Moura, Muthukkaruppan Annamalai, Raul D. Santos, F. Paillard, Maria Del Ben, Jan Lacko, Miguel T. Rico, Ximena Reyes, Laura E.G. de Leon, Noor Shafina Mohd Nor, Ulrich Julius, Mohammed A. Batais, Dieter Böhm, Ta-Chen Su, Takuya Kobayashi, Magdalena Chmara, Marco Gebauer, Marcos M. Lima-Martínez, Ravshanbek D. Kurbanov, Daisaku Masuda, Amro El-Hadidy, Melanie Schüler, Francisco Fuentes, Florian J. Mayer, Helena Vaverkova, F. Ulrich Beil, Juraj Bujdak, Mario Stoll, Isabelle Ruel, Elena Dorn, Thomas M. Stulnig, Abubaker Elfatih, Rano B. Alieva, Jiri Vesely, Valérie Carreau, Cristina M. Sibaja, Sophie Béliard, Olivier Ziegler, Adriana Branchi, Daniel Schurr, G.B. John Mancini, Tai E. Shyong, Eric L.T. Siang, Mafalda Bourbon, Zerrin Yigit, Meral Kayıkçıoğlu, Jacques Genest, Wei Yu, Michal Vrablík, Shavkat U. Hoshimov, Dan Gaita, Antonio Pipolo, Ashraf H.A. AlQudaimi, Walter Speidl, Gianfranco Parati, Zaliha Ismail, Victoria M. Zubieta, René Valéro, Tomas Salek, Hana Halamkova, Gustavs Latkovskis, Nicole Allendorf-Ostwald, Agnes Perrin, Vladimir Soska, Anastasia Garoufi, Francisco Araujo, Nacu C. Portilla, Thomas Segiet, Charalambos Koumaras, Hila Knobler, Fatih Sivri, Hani Altaradi, Ivan Pećin, Long Jiang, Alexander Dressel, Marlena Woś, Jana Franekova, D. Agapakis, Quitéria Rato, Dirk J. Blom, Marcin A. Bartlomiejczyk, Krzysztof Dyrbuś, Maurizio Averna, Phivos Symeonides, Yung A. Chua, Asim Rana, András Nagy, Juan C.G. Cuellar, Alexander Jäkel, Maya Safarova, Neama Luqman, Amalia-Despoina Koutsogianni, Patrick Tounian, Jose A. Alvarez, Ada Cuevas, Corinna Richter, Sybil Charrieres, Vitaliy Zafiraki, Michalis Doumas, Angela Lux, Thanh Huong Truong, Elaine Chow, José Luis Díaz-Díaz, Jesus R.H. Almada, Sabine Füllgraf-Horst, Gustavo G. Retana, Claudio Borghi, Gianni Biolo, Ivajlo Tzvetkov, Patrícia Pais, Mehmet Akbulut, Kumiko Nagahama, Oner Ozdogan, Frank Leistikow, Jianxun He, Alexander R.M. Lyons, Poranee Ganokroj, Luis E.S. Mendia, Ann-Cathrin Koschker, Gabriela A.G. Ramirez, Dainus Gilis, Karin Balinth, José Ramiro Cruz, Paolo Calabrò, Alberico L. Catapano, Emmanouil Skalidis, Hamida Al-Barwani, Genovefa Kolovou, Carolyn S.P. Lam, Yoto Yotov, Yaacov Henkin, Gabriella Iannuzzo, Aimi Z. Razman, Alma B.M. Rodriguez, Hans Dieplinger, Darlington E. Obaseki, Ursulo J. Herrera, Arcangelo Iannuzzi, Christoph Säly, Elena Olmastroni, Francisco G. Padilla, S.A. Nazli, Ioanna Gouni-Berthold, Miriam Kozárová, Urh Groselj, Igor Shaposhnik, Lorenzo Iughetti, Nawal Rwaili, Cinthia E. Jannes, Andrea Bartuli, Mikhail Voevoda, Marat V. Ezhov, Yanyu Duan, Alper Sonmez, Mustafa Yenercag, Ariane Sultan, Natasza Gilis-Malinowska, Tavintharan Subramaniam, Mohamed Ashraf, Jing Pang, Kota Matsuki, Tao Jiang, Gerald Klose, Eduardo A.R. Rodriguez, Lucie Solcova, Riccardo Sarzani, Mahmoud Traina, Alejandra Vázquez Cárdenas, Gordon A. Francis, Adolat V. Ziyaeva, Ronen Durst, Maciej Banach, Francisco Silva, Heribert Schunkert, Børge G. Nordestgaard, Ziyou Liu, Ahmad Bakhtiar Md Radzi, Hana Rosolova, Andrea Bäßler, Abdulhalim Jamal Kinsara, Noël Peretti, Victor Gurevich, Margarita T. Tamayo, Abdullah Tuncez, Florian Höllerl, Ljubica Stosic, Jianguang Qi, Anja Kirschbaum, Jitendra P.S. Sawhney, Michael Scholl, Kausik K. Ray, Mohamed Bendary, Hapizah Nawawi, Adrienne Tarr, Barbora Nussbaumerova, B.C. Brice, Kurt Huber, Noor Alicezah Mohd Kasim, A. Rahman A. Jamal, Vaclava Palanova, Giacomo Biasucci, Pucong Ye, Eva Cubova, Roopa Mehta, Rüdiger Schweizer, Veronica Zampoleri, Jacek Jóźwiak, Alyaa Al-Khateeb, Jing Hong, Katarina Raslova, Kirsten B. Holven, Tatiana Rozkova, Reinhold Busch, Alexander Klabnik, Konrad Hein, Eloy A.Z. Carrillo, Robin Urbanek, Livia Pisciotta, Fatma Y. Coskun, Jose J.G. Garcia, Valerio Pecchioli, Azra D. Nalbantic, Weerapan Khovidhunkit, Jernej Kovac, Michaela Kadurova, Mohammed Al-Jarallah, Vita Saripo, Christos V. Rizos, Jie Peng, Ang L. Chua, Dorothee Deiss, Nor A.A. Murad, Aneta Stróżyk, See Kwok, Gökhan Alici, Gillian J. Pilcher, John J.P. Kastelein, Dmitry Duplyakov, Calin Lengher, Milena Budikova, C. Azzopardi, Christina Antza, Luis E.V. Arroyo, Khalid Al-Jumaily, Ahmad Al-Sarraf, Carlos A. Aguilar-Salinas, Erkayim Bektasheva, Arta Upena-RozeMicena, Qian Wang, Xumin Wang, Leah Leavit, Radzi Rahmat, Selim Topcu, Željko Reiner, Lorenzo Maroni, Matija Cevc, Elizabeth R. Cooremans, Masatsune Ogura, Tevfik Sabuncu, Ruy D Arjona Villicaña, Andrea Giaccari, Xuesong Fan, Auryan Szalat, Sanjaya Dissanayake, Etienne Khoury, Anja Vogt, Hermann Toplak, Alexis Baass, Isabel Palma, Gaelle Sablon, Dana A. Hay, Ya Yang, Margus Viigimaa, Erik S.G. Stroes, Dror Harats, Konstantin Krychtiuk, Zesen Liu, Aleksandra Parczewska, Yves Cottin, Yichen Qu, Mathilde Di-Fillipo, Agnieszka Konopka, Lamija Pojskic, Guadalupe J. Dominguez, Ahmet Temizhan, Roberto C. Chacon, Ibrahim E. Dural, Qiang Yong, G. Kees Hovingh, Kang Meng, Sandra Kutkiene, Julie Lemale, Reinhold Innerhofer, Alexandros D. Tselepis, Handrean Soran, Wolfgang König, Bassam Atallah, Olena Mitchenko, Jana Cepova, Eduardo M. Rodriguez, Ulrich Laufs, Norhidayah Rosman, Alena Lubasova, V. Durlach, Frederick J. Raal, Elyor Khodzhiboboev, Cristina Pederiva, Hui Yuan, Ashraf Reda, Fahad Alnouri, Konstantinos Tziomalos, Thanh T. Le, Jana Sirotiakova, Régis Hankard, Hector E.A. 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R.B., Kurbanov R.D., Hoshimov S.U., Nizamov U.I., Ziyaeva A.V., Abdullaeva G.J., Do D.L., Nguyen M.N.T., Kim N.T., Le T.T., Le H.A., Tokgozoglu L., Catapano A.L., Ray K.K., Vallejo-Vaz, A. J., Stevens, C. A. T., Lyons, A. R. M., Dharmayat, K. I., Freiberger, T., Hovingh, G. K., Mata, P., Raal, F. J., Santos, R. D., Soran, H., Watts, G. F., Abifadel, M., Aguilar-Salinas, C. A., Alhabib, K. F., Alkhnifsawi, M., Almahmeed, W., Alnouri, F., Alonso, R., Al-Rasadi, K., Al-Sarraf, A., Al-Sayed, N., Araujo, F., Ashavaid, T. F., Banach, M., Beliard, S., Benn, M., Binder, C. J., Bogsrud, M. P., Bourbon, M., Chlebus, K., Corral, P., Davletov, K., Descamps, O. S., Durst, R., Ezhov, M., Gaita, D., Genest, J., Groselj, U., Harada-Shiba, M., Holven, K. B., Kayikcioglu, M., Khovidhunkit, W., Lalic, K., Latkovskis, G., Laufs, U., Liberopoulos, E., Lima-Martinez, M. M., Lin, J., Maher, V., Marais, A. D., Marz, W., Mirrakhimov, E., Miserez, A. R., Mitchenko, O., Nawawi, H., Nordestgaard, B. G., Panayiotou, A. G., Paragh, G., Petrulioniene, Z., Pojskic, B., Postadzhiyan, A., Raslova, K., Reda, A., Sadiq, F., Sadoh, W. E., Schunkert, H., Shek, A. B., Stoll, M., Stroes, E., Su, T. -C., Subramaniam, T., Susekov, A. V., Tilney, M., Tomlinson, B., Truong, T. H., Tselepis, A. D., Tybjaerg-Hansen, A., Vazquez Cardenas, A., Viigimaa, M., Wang, L., Yamashita, S., Kastelein, J. J. P., Bruckert, E., Vohnout, B., Schreier, L., Pang, J., Ebenbichler, C., Dieplinger, H., Innerhofer, R., Winhofer-Stockl, Y., Greber-Platzer, S., Krychtiuk, K., Speidl, W., Toplak, H., Widhalm, K., Stulnig, T., Huber, K., Hollerl, F., Rega-Kaun, G., Kleemann, L., Maser, M., Scholl-Burgi, S., Saly, C., Mayer, F. J., Sablon, G., Tarantino, E., Nzeyimana, C., Pojskic, L., Sisic, I., Nalbantic, A. D., Jannes, C. E., Pereira, A. C., Krieger, J. E., Petrov, I., Goudev, A., Nikolov, F., Tisheva, S., Yotov, Y., Tzvetkov, I., Baass, A., Bergeron, J., Bernard, S., Brisson, D., Brunham, L. R., Cermakova, L., Couture, P., Francis, G. A., Gaudet, D., Hegele, R. A., Khoury, E., Mancini, G. B. J., Mccrindle, B. W., Paquette, M., Ruel, I., Cuevas, A., Asenjo, S., Wang, X., Meng, K., Song, X., Yong, Q., Jiang, T., Liu, Z., Duan, Y., Hong, J., Ye, P., Chen, Y., Qi, J., Li, Y., Zhang, C., Peng, J., Yang, Y., Yu, W., Wang, Q., Yuan, H., Cheng, S., Jiang, L., Chong, M., Jiao, J., Wu, Y., Wen, W., Xu, L., Zhang, R., Qu, Y., He, J., Fan, X., Wang, Z., Chow, E., Pecin, I., Perica, D., Symeonides, P., Vrablik, M., Ceska, R., Soska, V., Tichy, L., Adamkova, V., Franekova, J., Cifkova, R., Kraml, P., Vonaskova, K., Cepova, J., Dusejovska, M., Pavlickova, L., Blaha, V., Rosolova, H., Nussbaumerova, B., Cibulka, R., Vaverkova, H., Cibickova, L., Krejsova, Z., Rehouskova, K., Malina, P., Budikova, M., Palanova, V., Solcova, L., Lubasova, A., Podzimkova, H., Bujdak, J., Vesely, J., Jordanova, M., Salek, T., Urbanek, R., Zemek, S., Lacko, J., Halamkova, H., Machacova, S., Mala, S., Cubova, E., Valoskova, K., Burda, L., Bendary, A., Daoud, I., Emil, S., Elbahry, A., Rafla, S., Sanad, O., Kazamel, G., Ashraf, M., Sobhy, M., El-Hadidy, A., Shafy, M. A., Kamal, S., Bendary, M., Talviste, G., Angoulvant, D., Boccara, F., Cariou, B., Carreau, V., Carrie, A., Charrieres, S., Cottin, Y., Di-Fillipo, M., Ducluzeau, P. H., Dulong, S., Durlach, V., Farnier, M., Ferrari, E., Ferrieres, D., Ferrieres, J., Gallo, A., Hankard, R., Inamo, J., Lemale, J., Moulin, P., Paillard, F., Peretti, N., Perrin, A., Pradignac, A., Rabes, J. P., Rigalleau, V., Sultan, A., Schiele, F., Tounian, P., Valero, R., Verges, B., Yelnik, C., Ziegler, O., Haack, I. A., Schmidt, N., Dressel, A., Klein, I., Christmann, J., Sonntag, A., Stumpp, C., Boger, D., Biedermann, D., Usme, M. M. N., Beil, F. U., Klose, G., Konig, C., Gouni-Berthold, I., Otte, B., Boll, G., Kirschbaum, A., Merke, J., Scholl, J., Segiet, T., Gebauer, M., Predica, F., Mayer, M., Leistikow, F., Fullgraf-Horst, S., Muller, C., Schuler, M., Wiener, J., Hein, K., Baumgartner, P., Kopf, S., Busch, R., Schomig, M., Matthias, S., Allendorf-Ostwald, N., Fink, B., Bohm, D., Jakel, A., Koschker, A. -C., Schweizer, R., Vogt, A., Parhofer, K., Konig, W., Reinhard, W., Bassler, A., Stadelmann, A., Schrader, V., Katzmann, J., Tarr, A., Steinhagen-Thiessen, E., Kassner, U., Paulsen, G., Homberger, J., Zemmrich, C., Seeger, W., Biolik, K., Deiss, D., Richter, C., Pantchechnikova, E., Dorn, E., Schatz, U., Julius, U., Spens, A., Wiesner, T., Scholl, M., Rizos, C. V., Sakkas, N., Elisaf, M., Skoumas, I., Tziomalos, K., Rallidis, L., Kotsis, V., Doumas, M., Athyros, V., Skalidis, E., Kolovou, G., Garoufi, A., Bilianou, E., Koutagiar, I., Agapakis, D., Kiouri, E., Antza, C., Katsiki, N., Zacharis, E., Attilakos, A., Sfikas, G., Koumaras, C., Anagnostis, P., Anastasiou, G., Liamis, G., Koutsogianni, A. -D., Karanyi, Z., Harangi, M., Bajnok, L., Audikovszky, M., Mark, L., Benczur, B., Reiber, I., Nagy, G., Nagy, A., Reddy, L. L., Shah, S. A. V., Ponde, C. K., Dalal, J. J., Sawhney, J. P. S., Verma, I. C., Altaey, M., Al-Jumaily, K., Rasul, D., Abdalsahib, A. F., Jabbar, A. A., Al-ageedi, M., Agar, R., Cohen, H., Ellis, A., Gavishv, D., Harats, D., Henkin, Y., Knobler, H., Leavit, L., Leitersdorf, E., Rubinstein, A., Schurr, D., Shpitzen, S., Szalat, A., Casula, M., Zampoleri, V., Gazzotti, M., Olmastroni, E., Sarzani, R., Ferri, C., Repetti, E., Sabba, C., Bossi, A. C., Borghi, C., Muntoni, S., Cipollone, F., Purrello, F., Pujia, A., Passaro, A., Marcucci, R., Pecchioli, V., Pisciotta, L., Mandraffino, G., Pellegatta, F., Mombelli, G., Branchi, A., Fiorenza, A. M., Pederiva, C., Werba, J. P., Parati, G., Carubbi, F., Iughetti, L., Iannuzzi, A., Iannuzzo, G., Calabro, P., Averna, M., Biasucci, G., Zambon, S., Roscini, A. R., Trenti, C., Arca, M., Federici, M., Del Ben, M., Bartuli, A., Giaccari, A., Pipolo, A., Citroni, N., Guardamagna, O., Bonomo, K., Benso, A., Biolo, G., Maroni, L., Lupi, A., Bonanni, L., Zenti, M. G., Matsuki, K., Hori, M., Ogura, M., Masuda, D., Kobayashi, T., Nagahama, K., Al-Jarallah, M., Radovic, M., Lunegova, O., Bektasheva, E., Khodzhiboboev, E., Erglis, A., Gilis, D., Nesterovics, G., Saripo, V., Meiere, R., Upena-RozeMicena, A., Terauda, E., Jambart, S., Khoury, P. E., Elbitar, S., Ayoub, C., Ghaleb, Y., Aliosaitiene, U., Kutkiene, S., Kasim, N. A. M., Nor, N. S. M., Ramli, A. S., Razak, S. A., Al-Khateeb, A., Kadir, S. H. S. A., Muid, S. A., Rahman, T. A., Kasim, S. S., Radzi, A. B. M., Ibrahim, K. S., Razali, S., Ismail, Z., Ghani, R. A., Hafidz, M. I. A., Chua, A. L., Rosli, M. M., Annamalai, M., Teh, L. K., Razali, R., Chua, Y. A., Rosman, A., Sanusi, A. R., Murad, N. A. A., Jamal, A. R. A., Nazli, S. A., Razman, A. Z., Rosman, N., Rahmat, R., Hamzan, N. S., Azzopardi, C., Mehta, R., Martagon, A. J., Ramirez, G. A. G., Villa, N. E. A., Vazquez, A. V., Elias-Lopez, D., Retana, G. G., Rodriguez, B., Macias, J. J. C., Zazueta, A. R., Alvarado, R. M., Portano, J. D. M., Lopez, H. A., Sauque-Reyna, L., Herrera, L. G. G., Mendia, L. E. S., Aguilar, H. G., Cooremans, E. R., Aparicio, B. P., Zubieta, V. M., Gonzalez, P. A. C., Ferreira-Hermosillo, A., Portilla, N. C., Dominguez, G. J., Garcia, A. Y. R., Cazares, H. E. A., Gonzalez, J. R., Valencia, C. V. M., Padilla, F. G., Prado, R. M., De los Rios Ibarra, M. O., Villicana, R. D. A., Rivera, K. J. A., Carrera, R. A., Alvarez, J. A., Martinez, J. C. A., de los Reyes Barrera Bustillo, M., Vargas, G. C., Chacon, R. C., Andrade, M. H. F., Ortega, A. F., Alcala, H. G., de Leon, L. E. G., Guzman, B. G., Garcia, J. J. G., Cuellar, J. C. G., Cruz, J. R. G., Garcia, A. H., Almada, J. R. H., Herrera, U. J., Sobrevilla, F. L., Rodriguez, E. M., Sibaja, C. M., Rodriguez, A. B. M., Oyervides, J. C. M., Vazquez, D. I. P., Rodriguez, E. A. R., Osorio, M. L. R., Saucedo, J. R., Tamayo, M. T., Talavera, L. A. V., Arroyo, L. E. V., Carrillo, E. A. Z., Isara, A., Obaseki, D. E., Al-Waili, K., Al-Zadjali, F., Al-Zakwani, I., Al-Kindi, M., Al-Mukhaini, S., Al-Barwani, H., Rana, A., Shah, L. S. U., Starostecka, E., Konopka, A., Lewek, J., Bartlomiejczyk, M., Gasior, M., Dyrbus, K., Jozwiak, J., Gruchala, M., Pajkowski, M., Romanowska-Kocejko, M., Zarczynska-Buchowiecka, M., Chmara, M., Wasag, B., Parczewska, A., Gilis-Malinowska, N., Borowiec-Wolna, J., Strozyk, A., Wos, M., Michalska-Grzonkowska, A., Medeiros, A. M., Alves, A. C., Silva, F., Lobarinhas, G., Palma, I., de Moura, J. P., Rico, M. T., Rato, Q., Pais, P., Correia, S., Moldovan, O., Virtuoso, M. J., Salgado, J. M., Colaco, I., Dumitrescu, A., Lengher, C., Mosteoru, S., Meshkov, A., Ershova, A., Rozkova, T., Korneva, V., Yu, K. T., Zafiraki, V., Voevoda, M., Gurevich, V., Duplyakov, D., Ragino, Y., Safarova, M., Shaposhnik, I., Alkaf, F., Khudari, A., Rwaili, N., Al-Allaf, F., Alghamdi, M., Batais, M. A., Almigbal, T. H., Kinsara, A., Alqudaimi, A. H. A., Awan, Z., Elamin, O. A., Altaradi, H., Rajkovic, N., Popovic, L., Singh, S., Stosic, L., Rasulic, I., Lalic, N. M., Lam, C., Le, T. J., Siang, E. L. T., Dissanayake, S., I-Shing, J. T., Shyong, T. E., Jin, T. C. S., Balinth, K., Buganova, I., Fabryova, L., Kadurova, M., Klabnik, A., Kozarova, M., Sirotiakova, J., Battelino, T., Kovac, J., Mlinaric, M., Sustar, U., Podkrajsek, K. T., Fras, Z., Jug, B., Cevc, M., Pilcher, G. J., Blom, D. J., Wolmarans, K. H., Brice, B. C., Muniz-Grijalvo, O., Diaz-Diaz, J. L., de Isla, L. P., Fuentes, F., Badimon, L., Martin, F., Lux, A., Chang, N. -T., Ganokroj, P., Akbulut, M., Alici, G., Bayram, F., Can, L. H., Celik, A., Ceyhan, C., Coskun, F. Y., Demir, M., Demircan, S., Dogan, V., Durakoglugil, E., Dural, I. E., Gedikli, O., Hacioglu, A., Ildizli, M., Kilic, S., Kirilmaz, B., Kutlu, M., Oguz, A., Ozdogan, O., Onrat, E., Ozer, S., Sabuncu, T., Sahin, T., Sivri, F., Sonmez, A., Temizhan, A., Topcu, S., Tuncez, A., Vural, M., Yenercag, M., Yesilbursa, D., Yigit, Z., Yildirim, A. B., Yildirir, A., Yilmaz, M. B., Atallah, B., Traina, M., Sabbour, H., Hay, D. A., Luqman, N., Elfatih, A., Abdulrasheed, A., Kwok, S., Oca, N. D., Reyes, X., Alieva, R. B., Kurbanov, R. D., Hoshimov, S. U., Nizamov, U. I., Ziyaeva, A. V., Abdullaeva, G. J., Do, D. L., Nguyen, M. N. T., Kim, N. T., Le, T. T., Le, H. A., Tokgozoglu, L., Catapano, A. L., Ray, K. K., and EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC), Borghi C

Subjects
Male, Settore MED/09 - Medicina Interna, Arterial disease, Cross-sectional study, Adult population, Coronary Disease, Disease, Global Health, Medical and Health Sciences, Doenças Cardio e Cérebro-vasculares, Anticholesteremic Agent, Monoclonal, Prevalence, Registries, Familial Hypercholesterolemia, Humanized, Stroke, 11 Medical and Health Sciences, LS2_9, Studies Collaboration, Anticholesteremic Agents, General Medicine, Heart Disease Risk Factor, Middle Aged, FHSC global registry data, Europe, Treatment Outcome, Lower prevalence, Guidance, lipids (amino acids, peptides, and proteins), Female, Proprotein Convertase 9, Familial hypercholesterolaemia, Life Sciences & Biomedicine, Human, Adult, medicine.medical_specialty, Combination therapy, FHSC global registry, heterozygous familial hypercholesterolaemia, Cardiovascular risk factors, Antibodies, Monoclonal, Humanized, Insights, Antibodies, NO, Hyperlipoproteinemia Type II, Clinician, Medicine, General & Internal, Internal medicine, General & Internal Medicine, Health Sciences, medicine, Humans, EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC), Cross-Sectional Studie, Science & Technology, Global Perspective, business.industry, Cholesterol, LDL, medicine.disease, Cross-Sectional Studies, Heart Disease Risk Factors, Hydroxymethylglutaryl-CoA Reductase Inhibitor, Hydroxymethylglutaryl-CoA Reductase Inhibitors, business
Abstract

Background The European Atherosclerosis Society Familial Hypercholesterolaemia Studies Collaboration (FHSC) global registry provides a platform for the global surveillance of familial hypercholesterolaemia through harmonisation and pooling of multinational data. In this study, we aimed to characterise the adult population with heterozygous familial hypercholesterolaemia and described how it is detected and managed globally. Methods Using FHSC global registry data, we did a cross-sectional assessment of adults (aged 18 years or older) with a clinical or genetic diagnosis of probable or definite heterozygous familial hypercholesterolaemia at the time they were entered into the registries. Data were assessed overall and by WHO regions, sex, and index versus non-index cases. Findings Of the 61 612 individuals in the registry, 42 167 adults (21 999 [53.6%] women) from 56 countries were included in the study. Of these, 31 798 (75.4%) were diagnosed with the Dutch Lipid Clinic Network criteria, and 35 490 (84.2%) were from the WHO region of Europe. Median age of participants at entry in the registry was 46.2 years (IQR 34.3-58.0); median age at diagnosis of familial hypercholesterolaemia was 44.4 years (32.5-56.5), with 40.2% of participants younger than 40 years when diagnosed. Prevalence of cardiovascular risk factors increased progressively with age and varied by WHO region. Prevalence of coronary disease was 17.4% (2.1% for stroke and 5.2% for peripheral artery disease), increasing with concentrations of untreated LDL cholesterol, and was about two times lower in women than in men. Among patients receiving lipid-lowering medications, 16 803 (81.1%) were receiving statins and 3691 (21.2%) were on combination therapy, with greater use of more potent lipid-lowering medication in men than in women. Median LDL cholesterol was 5.43 mmol/L (IQR 4.32-6.72) among patients not taking lipid-lowering medications and 4.23 mmol/L (3.20-5.66) among those taking them. Among patients taking lipid-lowering medications, 2.7% had LDL cholesterol lower than 1.8 mmol/L; the use of combination therapy, particularly with three drugs and with proprotein convertase subtilisin-kexin type 9 inhibitors, was associated with a higher proportion and greater odds of having LDL cholesterol lower than 1.8 mmol/L. Compared with index cases, patients who were non-index cases were younger, with lower LDL cholesterol and lower prevalence of cardiovascular risk factors and cardiovascular diseases (all p, Pfizer Independent Grant for Learning Change [16157823]; Amgen; Merck Sharp Dohme; Sanofi-Aventis; Daiichi Sankyo; Regeneron; National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, UK; NIHR; Czech Ministry of Health [NU20-02-00261]; Canadian Institutes of Health Research; Austrian Heart Foundation; Tyrolean Regional Government; Gulf Heart Association, The EAS FHSC is an academic initiative that has received funding from a Pfizer Independent Grant for Learning & Change 2014 (16157823) and from investigator-initiated research grants to the European Atherosclerosis Society-Imperial College London from Amgen, Merck Sharp & Dohme, Sanofi-Aventis, Daiichi Sankyo, and Regeneron. KKR acknowledges support from the National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, UK. KID acknowledges support from a PhD Studentship from NIHR under the Applied Health Research programme for Northwest London, UK (the views expressed in this publication are those of the authors and not necessarily those of the National Health Service, the NIHR, or the Department of Health). TF was supported by a grant from the Czech Ministry of Health (NU20-02-00261). JG receives support from the Canadian Institutes of Health Research. The Austrian Familial Hypercholesterolaemia registry has been supported by funds from the Austrian Heart Foundation and the Tyrolean Regional Government. The Gulf Familial Hypercholesterolaemia registry was done under the auspices of the Gulf Heart Association.

Published
2021

10. A systematic review and meta-analysis of the efficacy of medications directed against PCSK9 in familial hypercholesterolemia

Author

Kanika I. Dharmayat, M. Taghavi Azar Sharabiani, Robert Jones, Antonio J. Vallejo-Vaz, Julia Brandts, J.J.P. Kastelein, Frederick J. Raal, and Kausik K. Ray

Subjects
medicine.medical_specialty, business.industry, Meta-analysis, Internal medicine, PCSK9, medicine, Familial hypercholesterolemia, Cardiology and Cardiovascular Medicine, medicine.disease, business
Published
2021

11. Effectiveness of Smartphone-Based Community Case Management on the Urgent Referral, Reconsultation, and Hospitalization of Children Aged Under 5 Years in Malawi: Cluster-Randomized, Stepped-Wedge Trial

Author

Tammy Tran, Kanika I. Dharmayat, Victoria Hardy, Matthew Thompson, Tsung-Shu Joseph Wu, John O'Donoghue, Bo Andersson, Ciara Heavin, Phillip H. Hwang, Jenny Hsieh, Yvonne O'Connor, Annette L. Fitzpatrick, Nicole Ide, Adamson S Muula, Sven A. Carlsson, Hsin-yi Lee, Nikolaos Mastellos, and Griphin Baxter Chirambo

Subjects
medicine.medical_specialty, Malawi, Referral, pediatrics, Health Informatics, Logistic regression, Odds, community case management, Health facility, Intervention (counseling), Medicine, Humans, Child, Systemvetenskap, informationssystem och informatik, Referral and Consultation, mobile health, 11 Medical and Health Sciences, Original Paper, mobile phone, business.industry, Odds ratio, Digital health, 17 Psychology and Cognitive Sciences, Child mortality, Hospitalization, Emergency medicine, 08 Information and Computing Sciences, Smartphone, childhood infection, business, Case Management, Medical Informatics, Information Systems
Abstract

Background Integrated community case management (CCM) has led to reductions in child mortality in Malawi resulting from illnesses such as malaria, pneumonia, and diarrhea. However, adherence to CCM guidelines is often poor, potentially leading to inappropriate clinical decisions and poor outcomes. We determined the impact of an e-CCM app on the referral, reconsultation, and hospitalization rates of children presenting to village clinics in Malawi. Objective We determined the impact of an electronic version of a smartphone-based CCM (e-CCM) app on the referral, reconsultation, and hospitalization rates of children presenting to village clinics in Malawi. Methods We used a stepped-wedge, cluster-randomized trial to compare paper-based CCM (control) with and without the use of an e-CCM app on smartphones from November 2016 to February 2017. A total of 102 village clinics from 2 districts in northern Malawi were assigned to 1 of 6 clusters, which were randomized on the sequencing of the crossover from the control phase to the intervention phase as well as the duration of exposure in each phase. Children aged ≥2 months to Results A total of 6965 children were recruited—49.11% (3421/6965) in the control phase and 50.88% (3544/6965) in the intervention phase. After adjusting for calendar time, children in the intervention phase were more likely to be urgently referred to a higher-level health facility than children in the control phase (odds ratio [OR] 2.02, 95% CI 1.27-3.23; P=.003). Overall, children in the intervention arm had lower odds of attending a repeat health surveillance assistant consultation (OR 0.45, 95% CI 0.34-0.59; P Conclusions The addition of e-CCM decision support by using smartphones led to a greater proportion of children being referred to higher-level facilities, with no apparent increase in hospital admissions or repeat consultations in village clinics. Our findings provide support for the implementation of e-CCM tools in Malawi and other low- and middle-income countries with a need for ongoing assessments of effectiveness and integration with national digital health strategies. Trial Registration ClinicalTrials.gov NCT02763345; https://clinicaltrials.gov/ct2/show/NCT02763345

Published
2020

12. Investigation of Cardiovascular Health and Risk Factors Among the Diverse and Contemporary Population in London (the TOGETHER Study): Protocol for Linking Longitudinal Medical Records

Author

Azeem Majeed, Della Cole, Kamlesh Khunti, Maria Woringer, Josip Car, Sumantra Ray, Nikolaos Mastellos, Kausik K. Ray, Sreenivasa Rao Kondapally Seshasai, and Kanika I. Dharmayat

Subjects
cardiovascular risk factors, PREDICTION, Population, Computer applications to medicine. Medical informatics, R858-859.7, HEART-DISEASE, Population health, Disease, 030204 cardiovascular system & hematology, DISEASE, VALIDATION, 1117 Public Health and Health Services, 03 medical and health sciences, 0302 clinical medicine, Environmental health, PROGRAM, MANAGEMENT, Protocol, 030212 general & internal medicine, education, Socioeconomic status, Health policy, Public, Environmental & Occupational Health, NHS health check, education.field_of_study, Science & Technology, MORTALITY, Medical record, 1103 Clinical Sciences, cardiovascular health, General Medicine, COVERAGE, Health Care Sciences & Services, DERIVATION, electronic health records, NUTRITION SURVEY, Medicine, Observational study, NATIONAL DIET, Life Sciences & Biomedicine, Medical Informatics
Abstract

Background Global trends in cardiovascular disease (CVD) exhibit considerable interregional and interethnic differences, which in turn affect long-term CVD risk across diverse populations. An in-depth understanding of the interplay between ethnicity, socioeconomic status, and CVD risk factors and mortality in a contemporaneous population is crucial to informing health policy and resource allocation aimed at mitigating long-term CVD risk. Generating bespoke large-scale and reliable data with sufficient numbers of events is expensive and time-consuming but can be circumvented through utilization and linkage of data routinely collected in electronic health records (EHR). Objective We aimed to characterize the burden of CVD risk factors across different ethnicities, age groups, and socioeconomic groups, and study CVD incidence and mortality by EHR linkage in London. Methods The proposed study will initially be a cross-sectional observational study unfolding into prospective CVD ascertainment through longitudinal follow-up involving linked data. The government-funded National Health System (NHS) Health Check program provides an opportunity for the systematic collation of CVD risk factors on a large scale. NHS Health Check data on approximately 200,000 individuals will be extracted from consenting general practices across London that use the Egton Medical Information Systems (EMIS) EHR software. Data will be analyzed using appropriate statistical techniques to (1) determine the cross-sectional burden of CVD risk factors and their prospective association with CVD outcomes, (2) validate existing prediction tools in diverse populations, and (3) develop bespoke risk prediction tools across diverse ethnic groups. Results Enrollment began in January 2019 and is ongoing with initial results to be published mid-2021. Conclusions There is an urgent need for more real-life population health studies based on analyses of routine health data available in EHRs. Findings from our study will help quantify, on a large scale, the contemporaneous burden of CVD risk factors by geography and ethnicity in a large multiethnic urban population. Such detailed understanding (especially interethnic and sociodemographic variations) of the burden of CVD risk and its determinants, including heredity, environment, diet, lifestyle, and socioeconomic factors, in a large population sample, will enable the development of tailored and dynamic (continuously learning from new data) risk prediction tools for diverse ethnic groups, and thereby enable the personalized provision of prevention strategies and care. We anticipate that this systematic approach of linking routinely collected data from EHRs to study CVD can be conducted in other settings as EHRs are being implemented worldwide. International Registered Report Identifier (IRRID) PRR1-10.2196/17548

Published
2020

13. Characteristics of adults with heterozygous familial hypercholesterolaemia stratified by gender: preliminary analysis from the eas fhsc global registry on over 36,000 cases of familial hypercholesterolaemia

Author

Raul D. Santos, Tomáš Freiberger, Kanika I. Dharmayat, A.L. Catapano, Pedro Mata, Antonio J. Vallejo-Vaz, J.J.P. Kastelein, C. Stevens, Kees Hovingh, Handrean Soran, Kausik K. Ray, Julia Brandts, Gerald F. Watts, A. Lyons, and Frederick J. Raal

Subjects
Pediatrics, medicine.medical_specialty, business.industry, Medicine, Cardiology and Cardiovascular Medicine, business, Preliminary analysis
Published
2020

14. Effectiveness of Smartphone-Based Community Case Management on Urgent Referral, Re-Consultation and Hospitalization of Children Under-5 in Malawi: Results of a Cluster-Randomized, Stepped-Wedge Trial

Author

Kanika I. Dharmayat, Nikolaos Mastellos, Phillip H. Hwang, Ciara Heavin, Tammy Tran, Adamson S Muula, John O’ Donoghue, Victoria Hardy, Yvonne O’ Connor, Bo Andersson, Joseph Tsung-Shu Wu, Hsin-yi Lee, Griphin Baxter Chirambo, Jenny Hsieh, Nicole Ide, Matthew Thompson, Annette L. Fitzpatrick, and Sven A. Carlsson

Subjects
medicine.medical_specialty, Research ethics, Referral, business.industry, Fixed effects model, Logistic regression, Digital health, Child mortality, Health facility, Intervention (counseling), Family medicine, media_common.cataloged_instance, Medicine, European union, business, Location, media_common
Abstract

BackgroundIntegrated community case management (CCM) has led to reductions in child mortality in Malawi from illnesses such as malaria, pneumonia and diarrhoea. However, adherence to CCM guidelines is often poor, potentially leading to inappropriate clinical decisions and outcomes. We determined the impact of an electronic version of CCM (eCCM) application on referral, re-consultation and hospitalization rates of children presenting to village clinics in Malawi.MethodsA stepped-wedge cluster-randomized trial compared paper-based CCM (control) with and without use of an eCCM app on smartphones from November 2016 to April 2017.A total of 102 village clinics from two districts in Northern Malawi were assigned to one of six clusters which were randomized to the sequencing of crossover from the control to the intervention phases, as well as the duration of exposure in each phase. Children ≥2 months to ResultsA total of 6965 children were recruited, 3421 in the control and 3544 in the intervention phase. After adjusting for calendar time, children in the intervention phase were more likely to be urgently referred to a higher-level health facility compared with children in the control phase (OR 2.02, 95% CI 1.27-3.23; p0.05).ConclusionsAddition of eCCM decision support led to a greater proportion of children being referred to higher-level facilities, with no apparent increase in hospital admissions or repeat consultations in village clinics. Our findings provide support for the implementation of eCCM tools in Malawi and other Low and Middle Income Countries (LMIC), with a need for ongoing assessment of effectiveness and integration with national digital health strategies.Trial registrationhttp://ClinicalTrials.gov; NCT02763345. Registered 3 May 2016

Published
2020

15. Training community healthcare workers on the use of information and communication technologies: a randomised controlled trial of traditional versus blended learning in Malawi, Africa

Author

Winnie Mkandawire, Kanika I. Dharmayat, Baxter Griphin Chirambo, Emmanuel Ngalande, John O'Donoghue, Cybele P. Wong, Joseph Tsung-Shu Wu, Tammy Tran, Victoria Hardy, Elizabeth Cecil, Nikolaos Mastellos, Hsin-yi Lee, Mastellos, Nikolaos [0000-0003-4573-3657], Apollo - University of Cambridge Repository, and Commission of the European Communities

Subjects
Male, Malawi, lcsh:Medicine, Health informatics, 0302 clinical medicine, Surveys and Questionnaires, Computer literacy, 030212 general & internal medicine, Community Health Workers, lcsh:LC8-6691, Attitude to Computers, 4. Education, 030503 health policy & services, General Medicine, Middle Aged, Telemedicine, 1117 Public Health And Health Services, Computers, Handheld, Female, Information Technology, 0305 other medical science, Psychology, Research Article, Adult, education, mLearning, Information and communication technologies, Education, Developing countries, 03 medical and health sciences, Community healthcare workers, eHealth, Humans, Face validity, Medical education, lcsh:Special aspects of education, business.industry, lcsh:R, Reproducibility of Results, Information technology, 1302 Curriculum And Pedagogy, Blended learning, Information and Communications Technology, Traditional learning, business, Cell Phone, Medical Informatics
Abstract

Background Despite the increasing uptake of information and communication technologies (ICT) within healthcare services across developing countries, community healthcare workers (CHWs) have limited knowledge to fully utilise computerised clinical systems and mobile apps. The ‘Introduction to Information and Communication Technology and eHealth’ course was developed with the aim to provide CHWs in Malawi, Africa, with basic knowledge and computer skills to use digital solutions in healthcare delivery. The course was delivered using a traditional and a blended learning approach. Methods Two questionnaires were developed and tested for face validity and reliability in a pilot course with 20 CHWs. Those were designed to measure CHWs’ knowledge of and attitudes towards the use of ICT, before and after each course, as well as their satisfaction with each learning approach. Following validation, a randomised controlled trial was conducted to assess the effectiveness of the two learning approaches. A total of 40 CHWs were recruited, stratified by position, gender and computer experience, and allocated to the traditional or blended learning group using block randomisation. Participants completed the baseline and follow-up questionnaires before and after each course to assess the impact of each learning approach on their knowledge, attitudes, and satisfaction. Per-item, pre-post and between-group, mean differences for each approach were calculated using paired and unpaired t-tests, respectively. Per-item, between-group, satisfaction scores were compared using unpaired t-tests. Results Scores across all scales improved after attending the traditional and blended learning courses. Self-rated ICT knowledge was significantly improved in both groups with significant differences between groups in seven domains. However, actual ICT knowledge scores were similar across groups. There were no significant differences between groups in attitudinal gains. Satisfaction with the course was generally high in both groups. However, participants in the blended learning group found it more difficult to follow the content of the course. Conclusions This study shows that there is no difference between blended and traditional learning in the acquisition of actual ICT knowledge among community healthcare workers in developing countries. Given the human resource constraints in remote resource-poor areas, the blended learning approach may present an advantageous alternative to traditional learning. Electronic supplementary material The online version of this article (10.1186/s12909-018-1175-5) contains supplementary material, which is available to authorized users.

Published
2018

16. People Welcomed This Innovation with Two Hands: A Qualitative Report of an mHealth Intervention for Community Case Management in Malawi

Author

Griphin Baxter Chirambo, Ciara Heavin, Victoria Hardy, Bo Andersson, Kanika I. Dharmayat, John O'Donoghue, Yvonne O'Connor, Matthew Thompson, Adamson S Muula, Sven A. Carlsson, Nikolaos Mastellos, and Nicole Ide

Subjects
Male, Malawi, Child Health Services, Psychological intervention, CHILDREN, Infectious and parasitic diseases, RC109-216, 0302 clinical medicine, Health care, Information system, INTERVIEWS, 030212 general & internal medicine, Children, Systemvetenskap, informationssystem och informatik, mHealth, Original Research, Public, Environmental & Occupational Health, Under-five, 030503 health policy & services, General Medicine, Mobile Applications, 3. Good health, Child, Preschool, Female, Public aspects of medicine, RA1-1270, 0305 other medical science, Psychology, Life Sciences & Biomedicine, Information Systems, Diarrhea, Community case management (CCM), IMPROVE, Interviews as Topic, INTEGRATED MANAGEMENT, 03 medical and health sciences, Nursing, Intervention (counseling), Humans, TECHNOLOGY, Science & Technology, business.industry, Infant, Newborn, Infant, Usability, Pneumonia, Health outcomes, Malaria, HEALTH-CARE, Implementation research, CHILDHOOD ILLNESS, business, Case Management
Abstract

Introduction: Community Case Management (CCM) aims to improve health outcomes among children under five with malaria, diarrhea, and pneumonia, but its effectiveness in Malawi is limited by inconsistent standards of delivery characteristic of paper-based interventions. This may lead to negative impacts on child health outcomes and inefficient use of health system resources. This study evaluated the acceptability and impact of the Supporting LIFE Community Case Management App (SL eCCM App) by Health Surveillance Assistants (HSAs) and caregivers in two districts of Northern Malawi. Methods: Data were collected through semi-structured interviews with HSAs and caregivers as part of a nested study within a larger trial. We used deductive and inductive approaches during data analysis. Relevant constructs were identified from the Consolidated Framework for Implementation Research and combined with emerging concepts from the data. The Framework Method was used to chart and explore data, leading to the development of themes. Results: Seventeen HSAs and 28 caregivers were interviewed. Participants were generally enthusiastic about the SL eCCM App. Nearly all HSAs expressed a preference for the App over routine paper-based CCM. Most HSAs claimed the App was more reliable and less error prone, facilitated more accurate diagnoses and treatment recommendations, and enhanced professional confidence and respect in the community. Some HSAs believed additional features would improve usability of the App, others identified mobile network or electricity shortages as barriers. Not all caregivers understood the purpose of the App, but most welcomed it as a health and technological advancement. Conclusion: The SL eCCM App is acceptable to both HSAs and caregivers, and in most cases, preferred, as it was believed to foster improvements in CCM delivery. Our findings suggest that mobile health interventions for CCM, such as the SL eCCM App, may have potential to improve the effectiveness and efficiency of care to children under five.

Published
2019

17. American Heart Association's Cholesterol CarePlan as a smartphone-delivered web app for patients prescribed cholesterol-lowering medication: Protocol for an observational feasibility study

Author

Kanika I. Dharmayat, Geva Greenfield, Alex Bottle, Kausik K. Ray, and Maria Woringer

Subjects
medicine.medical_specialty, lifestyle, 020205 medical informatics, 02 engineering and technology, Disease, LDL-CHOLESTEROL, GUIDELINES, law.invention, 1117 Public Health and Health Services, behavioral change, 03 medical and health sciences, 0302 clinical medicine, Patient satisfaction, ADHERENCE, Randomized controlled trial, law, Protocol, 0202 electrical engineering, electronic engineering, information engineering, IMPLEMENTATION, Web application, Medicine, 030212 general & internal medicine, mHealth, RISK, Science & Technology, business.industry, cholesterol, Usability, VASCULAR-DISEASE, 1103 Clinical Sciences, General Medicine, medicine.disease, Comorbidity, PREVENTION, REDUCTION, Health Care Sciences & Services, CARDIOVASCULAR-DISEASE, Family medicine, medication adherence, Observational study, HEALTH, business, Life Sciences & Biomedicine
Abstract

Background: Adoption of healthy lifestyle and compliance with cholesterol-lowering medication reduces the risk of cardiovascular disease (CVD). The use of digital tools and mobile technology may be important for sustaining positive behavioral change. Objective: The primary objective of this study is to evaluate the feasibility and acceptability of administering the Cholesterol CarePlan Web app developed by the American Heart Association aimed at improving lifestyle and medication adherence among patients prescribed cholesterol-lowering medication. The secondary objective is to assess the Web app’s efficacy. Methods: A prospective, observational feasibility study will be conducted to demonstrate whether the Web app may be successfully taken up by patients and will be associated with improved clinical and behavioral outcomes. The study will aim to recruit 180 study participants being prescribed cholesterol-lowering medication for at least 30 days across 14 general practices in London, England. Potentially eligible patients will be invited to use the Web app on a smartphone and visit general practice for three 20-minute clinical assessments of blood pressure, height, weight, smoking, and nonfasting cholesterol over 24 weeks. The feasibility of administering the Web app will be judged by recruitment and dropout statistics and the sociodemographic and comorbidity profile of consenting study participants, consenting nonparticipants, and all potentially eligible patients. Acceptability will be assessed using patients’ readiness to embrace new technologies, the usability of the Web app, and patient satisfaction. The efficacy of the Web app will be assessed by changes in medication adherence and clinical risk factors by levels of the Web app compliance. Results: This study is currently funded by the American Heart Association. Initial study recruitment will take place between February and July 2018 followed by patient follow-up. Patient level data will be obtained in January 2019. Data analysis will be completed by February 2019. Results will be submitted for publication in March 2019. Conclusions: The potential of an app to improve patients’ lifestyle and management of cholesterol may inform the design of a randomized controlled trial and the delivery of more effective CVD prevention programs. International Registered Report Identifier (IRRID): PRR1-10.2196/9017

Published
2018

18. American Heart Association’s Cholesterol CarePlan as a Smartphone-Delivered Web App for Patients Prescribed Cholesterol-Lowering Medication: Protocol for an Observational Feasibility Study (Preprint)

Author

Maria Woringer, Kanika I Dharmayat, Geva Greenfield, Alex Bottle, and Kausik K. Ray

Abstract

BACKGROUND Adoption of healthy lifestyle and compliance with cholesterol-lowering medication reduces the risk of cardiovascular disease (CVD). The use of digital tools and mobile technology may be important for sustaining positive behavioral change. OBJECTIVE The primary objective of this study is to evaluate the feasibility and acceptability of administering the Cholesterol CarePlan Web app developed by the American Heart Association aimed at improving lifestyle and medication adherence among patients prescribed cholesterol-lowering medication. The secondary objective is to assess the Web app’s efficacy. METHODS A prospective, observational feasibility study will be conducted to demonstrate whether the Web app may be successfully taken up by patients and will be associated with improved clinical and behavioral outcomes. The study will aim to recruit 180 study participants being prescribed cholesterol-lowering medication for at least 30 days across 14 general practices in London, England. Potentially eligible patients will be invited to use the Web app on a smartphone and visit general practice for three 20-minute clinical assessments of blood pressure, height, weight, smoking, and nonfasting cholesterol over 24 weeks. The feasibility of administering the Web app will be judged by recruitment and dropout statistics and the sociodemographic and comorbidity profile of consenting study participants, consenting nonparticipants, and all potentially eligible patients. Acceptability will be assessed using patients’ readiness to embrace new technologies, the usability of the Web app, and patient satisfaction. The efficacy of the Web app will be assessed by changes in medication adherence and clinical risk factors by levels of the Web app compliance. RESULTS This study is currently funded by the American Heart Association. Initial study recruitment will take place between February and July 2018 followed by patient follow-up. Patient level data will be obtained in January 2019. Data analysis will be completed by February 2019. Results will be submitted for publication in March 2019. CONCLUSIONS The potential of an app to improve patients’ lifestyle and management of cholesterol may inform the design of a randomized controlled trial and the delivery of more effective CVD prevention programs. INTERNATIONAL REGISTERED REPOR PRR1-10.2196/9017

Published
2018

19. Online data on opening hours of general practices in England: a comparison with telephone survey data

Author

Naomi Nowlan, Matthew Harris, Michael Soljak, Emma C Richards, Elinor Gunning, Azeem Majeed, Thomas E Cowling, Kanika I. Dharmayat, and Nur Alia Johari

Subjects
medicine.medical_specialty, Pediatrics, Names of the days of the week, Cross-sectional study, General Practice, Health Services Accessibility, State Medicine, Appointments and Schedules, medicine, Humans, Internet, Data collection, business.industry, Research, Data Collection, Health services research, Confidence interval, Telephone, Telephone survey, Cross-Sectional Studies, England, Family medicine, General practice, Survey data collection, Health Services Research, Family Practice, business
Abstract

Background The NHS Choices website (www.nhs.uk) provides data on the opening hours of general practices in England. If the data are accurate, they could be used to examine the benefits of extended hours. Aim To determine whether online data on the opening times of general practices in England are accurate regarding the number of hours in which GPs provide face-to-face consultations. Design and setting Cross-sectional comparison of data from NHS Choices and telephone survey data reported by general practice staff, for a nationally representative sample of 320 general practices (December 2013 to September 2014). Method GP face-to-face consultation times were collected by telephone for each sampled practice for each day of the week. NHS Choices data on surgery times were available online. Analysis was based on differences in the number of surgery hours (accounting for breaks) and the times of the first and last consultations of the day only between the two data sources. Results The NHS Choices data recorded 8.8 more hours per week than the survey data on average (40.1 versus 31.2; 95% confidence interval [CI] = 7.4 to 10.3). This was largely accounted for by differences in the recording of breaks between sessions. The data were more similar when only the first and last consultation times were considered (mean difference = 1.6 hours; 95% CI = 0.9 to 2.3). Conclusion NHS Choices data do not accurately measure the number of hours in which GPs provide face-to-face consultations. They better record the hours between the first and last consultations of the day.

Published
2015

20. Do HIV prevalence trends in antenatal clinic surveillance represent trends in the general population in the antiretroviral therapy era? The case of Manicaland, East Zimbabwe

Author

Kanika I. Dharmayat, Nadine Schur, Simon Gregson, Constance Nyamukapa, Albert Takaruza, Owen Mugurungi, Monique T.R. Pereboom, Wellcome Trust, and UNAIDS

Subjects
Male, Pediatrics, Prevalence, HIV Infections, Pregnancy, Antiretroviral Therapy, Highly Active, INFECTION, Immunology and Allergy, Medicine, Longitudinal Studies, Young adult, SUB-SAHARAN AFRICA, reproductive and urinary physiology, media_common, CARE SURVEILLANCE, education.field_of_study, Attendance, WOMEN, RURAL ZIMBABWE, 11 Medical And Health Sciences, Middle Aged, AIDS, HIV trends, Infectious Diseases, Anti-Retroviral Agents, Epidemiological Monitoring, Female, Life Sciences & Biomedicine, HIV surveillance, Zimbabwe, Adult, medicine.medical_specialty, Adolescent, media_common.quotation_subject, prevalence, Immunology, Population, Developing country, Fertility, 17 Psychology And Cognitive Sciences, Young Adult, Acquired immunodeficiency syndrome (AIDS), Virology, FERTILITY, Humans, education, DECLINE, Science & Technology, business.industry, 06 Biological Sciences, medicine.disease, PREVENTION, Confidence interval, business, antenatal clinic bias, Demography
Abstract

Objective: National estimates of HIV trends in generalized epidemics rely on HIV prevalence data from antenatal clinic (ANC) surveillance. We investigate whether HIV prevalence trends in ANC data reflect trends in men and women in the general population during the scale-up of antiretroviral therapy (ART) in Manicaland, Zimbabwe. Methods: Trends in HIV prevalence in local ANC attendees and adults aged 15–49 years in towns, agricultural estates, and villages were compared using five rounds of parallel ANC (N = 1200) and general-population surveys (N = 10 000) and multivariable log-linear regression. Changes in the age pattern of HIV prevalence and the age distribution of ANC attendees were compared with those in the general population. Age-specific pregnancy prevalence rates were compared by HIV infection and ART status. Results: Cumulatively, from 1998–2000 to 2009–2011, HIV prevalence fell by 60.0% (95% confidence interval, 51.1–67.3%) in ANC surveillance data and by 34.3% (30.8–37.7%) in the general population. Most of the difference arose following the introduction of ART (2006–2011). The estates and villages reflected this overall pattern but HIV prevalence in the towns was lower at local ANCs than in the general population, largely because of attendance by pregnant women from outlying (lower prevalence) areas. The ageing of people living with HIV in the general population (52.4% aged >35 years, 2009–2011) was under-represented in the ANC data (12.6%) because of lower fertility in older and HIV-infected women. Conclusion: After the introduction of ART in Manicaland, HIV prevalence declined more steeply in ANC surveillance data than in the general population. Models used for HIV estimates must reflect this change in bias.

Published
2015

21. Overview of a collaborative global effort to address the burden of familial hypercholesterolaemia

Author

Alexander R.M. Lyons, Christophe A.T. Stevens, Kanika I. Dharmayat, Dr Antonio J. Vallejo-Vaz, and Kausik K. Ray

Subjects
Familial hypercholesterolaemia, Hypercholesterolaemia, Dyslipidaemias, Atherosclerosis, Registry, LDL-Cholesterol, Surgery, RD1-811, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

This is an overview of the EAS Familial Hypercholesterolaemia (FH) Studies Collaboration (FHSC) global consortium and registry (established 2015), which broadly addresses the global burden of FH. Eighty-seven National Lead Investigators from 74 countries form this expanding global consortium, and this global registry currently includes pooled data on 70,000 participants from participating countries to facilitate FH surveillance. Published first results from this global registry concluded that FH is diagnosed late, and management of LDL-cholesterol falls below guideline recommendations, and therefore earlier detection of FH and wider use of combination therapy is required. Further FHSC studies will follow on updated data including new countries, participants and variables, and non-DNA genetic information, and on the remaining cohorts in the registry. FHSC cross-sectional collaborative global studies are expected to promote FH detection earlier in life to subsequently initiate early lipid lowering therapy to reduce lifelong exposure to cumulative LDL-cholesterol thus reducing cardiovascular disease risk.

Published
2024
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