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Gandaglia G, Pellegrino F, Golozar A, De Meulder B, Abbott T, Achtman A, Imran Omar M, Alshammari T, Areia C, Asiimwe A, Beyer K, Bjartell A, Campi R, Cornford P, Falconer T, Feng Q, Gong M, Herrera R, Hughes N, Hulsen T, Kinnaird A, Lai LYH, Maresca G, Mottet N, Oja M, Prinsen P, Reich C, Remmers S, Roobol MJ, Sakalis V, Seager S, Smith EJ, Snijder R, Steinbeisser C, Thurin NH, Hijazy A, van Bochove K, Van den Bergh RCN, Van Hemelrijck M, Willemse PP, Williams AE, Zounemat Kermani N, Evans-Axelsson S, Briganti A, N'Dow J. Clinical Characterization of Patients Diagnosed with Prostate Cancer and Undergoing Conservative Management: A PIONEER Analysis Based on Big Data. Eur Urol 2024; 85:457-465. [PMID: 37414703 DOI: 10.1016/j.eururo.2023.06.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 05/18/2023] [Accepted: 06/19/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND Conservative management is an option for prostate cancer (PCa) patients either with the objective of delaying or even avoiding curative therapy, or to wait until palliative treatment is needed. PIONEER, funded by the European Commission Innovative Medicines Initiative, aims at improving PCa care across Europe through the application of big data analytics. OBJECTIVE To describe the clinical characteristics and long-term outcomes of PCa patients on conservative management by using an international large network of real-world data. DESIGN, SETTING, AND PARTICIPANTS From an initial cohort of >100 000 000 adult individuals included in eight databases evaluated during a virtual study-a-thon hosted by PIONEER, we identified newly diagnosed PCa cases (n = 527 311). Among those, we selected patients who did not receive curative or palliative treatment within 6 mo from diagnosis (n = 123 146). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Patient and disease characteristics were reported. The number of patients who experienced the main study outcomes was quantified for each stratum and the overall cohort. Kaplan-Meier analyses were used to estimate the distribution of time to event data. RESULTS AND LIMITATIONS The most common comorbidities were hypertension (35-73%), obesity (9.2-54%), and type 2 diabetes (11-28%). The rate of PCa-related symptomatic progression ranged between 2.6% and 6.2%. Hospitalization (12-25%) and emergency department visits (10-14%) were common events during the 1st year of follow-up. The probability of being free from both palliative and curative treatments decreased during follow-up. Limitations include a lack of information on patients and disease characteristics and on treatment intent. CONCLUSIONS Our results allow us to better understand the current landscape of patients with PCa managed with conservative treatment. PIONEER offers a unique opportunity to characterize the baseline features and outcomes of PCa patients managed conservatively using real-world data. PATIENT SUMMARY Up to 25% of men with prostate cancer (PCa) managed conservatively experienced hospitalization and emergency department visits within the 1st year after diagnosis; 6% experienced PCa-related symptoms. The probability of receiving therapies for PCa decreased according to time elapsed after the diagnosis.
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Affiliation(s)
- Giorgio Gandaglia
- Guidelines Office, European Association of Urology, Arnhem, The Netherlands; Department of Urology and Division of Experimental Oncology, Urological Research Institute, IRCCS San Raffaele Hospital, Milan, Italy.
| | - Francesco Pellegrino
- Department of Urology and Division of Experimental Oncology, Urological Research Institute, IRCCS San Raffaele Hospital, Milan, Italy
| | - Asieh Golozar
- Odysseus Data Services, New York, NY, USA; OHDSI Center, Northeastern University, Boston, MA, USA
| | | | | | | | - Muhammad Imran Omar
- Guidelines Office, European Association of Urology, Arnhem, The Netherlands; Academic Urology Unit, University of Aberdeen, Scotland, UK
| | | | | | | | - Katharina Beyer
- Translational Oncology and Urology Research, King's College London, London, UK
| | - Anders Bjartell
- Department of Translational Medicine, Lund University, Lund, Sweden
| | - Riccardo Campi
- Guidelines Office, European Association of Urology, Arnhem, The Netherlands; Unit of Urological Robotic Surgery and Renal Transplantation, University of Florence, Careggi Hospital, Florence, Italy; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | | | - Thomas Falconer
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | - Qi Feng
- Astellas Pharma, Inc., Northbrook, IL, USA
| | - Mengchun Gong
- Nanfang Hospital, Southern Medical University, Guangzhou, China; DHC Technologies, Beijing, China
| | | | | | - Tim Hulsen
- Philips Research, Department of Hospital Services & Informatics, Eindhoven, The Netherlands
| | | | | | | | - Nicolas Mottet
- Guidelines Office, European Association of Urology, Arnhem, The Netherlands
| | - Marek Oja
- Institute of Computer Science, University of Tartu, Tartu, Estonia; STACC, Tartu, Estonia
| | - Peter Prinsen
- Netherlands Comprehensive Cancer Organization, Eindhoven, The Netherlands
| | | | - Sebastiaan Remmers
- Erasmus University Medical Centre, Cancer Institute, Rotterdam, The Netherlands
| | - Monique J Roobol
- Erasmus University Medical Centre, Cancer Institute, Rotterdam, The Netherlands
| | - Vasileios Sakalis
- Department of Urology, General Hospital of Thessaloniki Agios Pavlos, Thessaloniki, Greece
| | | | - Emma J Smith
- Guidelines Office, European Association of Urology, Arnhem, The Netherlands
| | | | | | - Nicolas H Thurin
- INSERM CIC-P 1401, Bordeaux PharmacoEpi, Université de Bordeaux, Bordeaux, France
| | | | | | | | | | - Peter-Paul Willemse
- Guidelines Office, European Association of Urology, Arnhem, The Netherlands; Department of Urology, Cancer Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Andrew E Williams
- The Institute for Clinical Research and Health Policy Studies at Tufts Medical Center, Boston, MA, USA
| | | | | | - Alberto Briganti
- Guidelines Office, European Association of Urology, Arnhem, The Netherlands; Department of Urology and Division of Experimental Oncology, Urological Research Institute, IRCCS San Raffaele Hospital, Milan, Italy
| | - James N'Dow
- Guidelines Office, European Association of Urology, Arnhem, The Netherlands; Academic Urology Unit, University of Aberdeen, Scotland, UK
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Kutikova L, Brash JT, Helme K, Brewster J, Brand M, Adam A, Seager S, Kostev K, Schelling J. Characteristics and Outcomes for Recipients of NVX-CoV2373: A Real-World Retrospective Study in Germany. Vaccines (Basel) 2024; 12:387. [PMID: 38675769 PMCID: PMC11054037 DOI: 10.3390/vaccines12040387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/26/2024] [Accepted: 04/02/2024] [Indexed: 04/28/2024] Open
Abstract
Real-world evidence supports SARS-CoV-2 vaccination strategies during the COVID-19 pandemic. This real-world retrospective study utilized the German Disease Analyzer database to characterize recipients of NVX-CoV2373 and explore vaccination outcomes. Recipients (≥12 years) of NVX-CoV2373 as a primary series or booster in Germany were vaccinated between March and December 2022. Outcomes included demographics and clinical characteristics of recipients, tolerability/reactogenicity-related events within 7 and 14 days post-vaccination, and protection from COVID-19. Overall, there were 597 recipients (mean age ~60 years) of NVX-CoV2373; 81% were vaccinated by a general practitioner, and 68% had a Standing Committee on Vaccination (STIKO) high-risk factor. The most common baseline comorbidities were chronic neurological (36%) and chronic intestinal (21%) diseases. Among recipients with metabolic disease (~11%), 65% had diabetes. Tolerability/reactogenicity-related symptoms were recorded in ~1% of recipients. There were no sick-leave notes associated with NVX-CoV2373. After 10 months (median, 7 months) of follow-up, 95% (95% CI, 93-95) of recipients were estimated to be protected from COVID-19. Outcomes were similar across the primary series, booster, and STIKO populations. Tolerability and COVID-19 protection support the use of NVX-CoV2373 as a primary/booster vaccination for all authorized populations, including high-risk.
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Affiliation(s)
| | - James T. Brash
- IQVIA, London W2 1AF, UK; (J.T.B.); (J.B.); (M.B.); (A.A.); (S.S.)
| | | | - Jack Brewster
- IQVIA, London W2 1AF, UK; (J.T.B.); (J.B.); (M.B.); (A.A.); (S.S.)
| | - Milou Brand
- IQVIA, London W2 1AF, UK; (J.T.B.); (J.B.); (M.B.); (A.A.); (S.S.)
| | - Atif Adam
- IQVIA, London W2 1AF, UK; (J.T.B.); (J.B.); (M.B.); (A.A.); (S.S.)
| | - Sarah Seager
- IQVIA, London W2 1AF, UK; (J.T.B.); (J.B.); (M.B.); (A.A.); (S.S.)
| | - Karel Kostev
- IQVIA, Epidemiology, 60549 Frankfurt am Main, Germany
| | - Jörg Schelling
- Department of Medicine IV, Ludwig Maximilian University of Munich University Hospital, LMU Munich, 80336 Munich, Germany
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3
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Chai Y, Man KKC, Luo H, Torre CO, Wing YK, Hayes JF, Osborn DPJ, Chang WC, Lin X, Yin C, Chan EW, Lam ICH, Fortin S, Kern DM, Lee DY, Park RW, Jang JW, Li J, Seager S, Lau WCY, Wong ICK. Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study. Epidemiol Psychiatr Sci 2024; 33:e9. [PMID: 38433286 PMCID: PMC10940053 DOI: 10.1017/s2045796024000088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 12/27/2023] [Accepted: 01/20/2024] [Indexed: 03/05/2024] Open
Abstract
AIMS Population-wide restrictions during the COVID-19 pandemic may create barriers to mental health diagnosis. This study aims to examine changes in the number of incident cases and the incidence rates of mental health diagnoses during the COVID-19 pandemic. METHODS By using electronic health records from France, Germany, Italy, South Korea and the UK and claims data from the US, this study conducted interrupted time-series analyses to compare the monthly incident cases and the incidence of depressive disorders, anxiety disorders, alcohol misuse or dependence, substance misuse or dependence, bipolar disorders, personality disorders and psychoses diagnoses before (January 2017 to February 2020) and after (April 2020 to the latest available date of each database [up to November 2021]) the introduction of COVID-related restrictions. RESULTS A total of 629,712,954 individuals were enrolled across nine databases. Following the introduction of restrictions, an immediate decline was observed in the number of incident cases of all mental health diagnoses in the US (rate ratios (RRs) ranged from 0.005 to 0.677) and in the incidence of all conditions in France, Germany, Italy and the US (RRs ranged from 0.002 to 0.422). In the UK, significant reductions were only observed in common mental illnesses. The number of incident cases and the incidence began to return to or exceed pre-pandemic levels in most countries from mid-2020 through 2021. CONCLUSIONS Healthcare providers should be prepared to deliver service adaptations to mitigate burdens directly or indirectly caused by delays in the diagnosis and treatment of mental health conditions.
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Affiliation(s)
- Yi Chai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
- The Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong
| | - Kenneth K. C. Man
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong
| | - Hao Luo
- The Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong
- Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong
- Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong
| | - Carmen Olga Torre
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
- Real World Data Sciences, Roche, Welwyn Garden City, UK
- School of Science and Engineering, University of Groningen, Groningen, The Netherlands
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Joseph F. Hayes
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - David P. J. Osborn
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Wing Chung Chang
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong
| | - Xiaoyu Lin
- Real-World Solutions, IQVIA, Durham, NC, USA
| | - Can Yin
- Real-World Solutions, IQVIA, Durham, NC, USA
| | - Esther W. Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, Guangdong, China
| | - Ivan C. H. Lam
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Stephen Fortin
- Observation Health Data Analytics, Janssen Research & Development, Titusville, NJ, USA
| | - David M. Kern
- Department of Epidemiology, Janssen Research & Development, Titusville, NJ, USA
| | - Dong Yun Lee
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea
| | - Rae Woong Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea
| | - Jae-Won Jang
- Department of Neurology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, South Korea
| | - Jing Li
- Real-World Solutions, IQVIA, Durham, NC, USA
| | | | - Wallis C. Y. Lau
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong
| | - Ian C. K. Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
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4
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Lo Re III V, Cocoros NM, Hubbard RA, Dutcher SK, Newcomb CW, Connolly JG, Perez-Vilar S, Carbonari DM, Kempner ME, Hernández-Muñoz JJ, Petrone AB, Pishko AM, Rogers Driscoll ME, Brash JT, Burnett S, Cohet C, Dahl M, DeFor TA, Delmestri A, Djibo DA, Duarte-Salles T, Harrington LB, Kampman M, Kuntz JL, Kurz X, Mercadé-Besora N, Pawloski PA, Rijnbeek PR, Seager S, Steiner CA, Verhamme K, Wu F, Zhou Y, Burn E, Paterson JM, Prieto-Alhambra D. Risk of Arterial and Venous Thrombotic Events Among Patients with COVID-19: A Multi-National Collaboration of Regulatory Agencies from Canada, Europe, and United States. Clin Epidemiol 2024; 16:71-89. [PMID: 38357585 PMCID: PMC10865892 DOI: 10.2147/clep.s448980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/23/2024] [Indexed: 02/16/2024] Open
Abstract
Purpose Few studies have examined how the absolute risk of thromboembolism with COVID-19 has evolved over time across different countries. Researchers from the European Medicines Agency, Health Canada, and the United States (US) Food and Drug Administration established a collaboration to evaluate the absolute risk of arterial (ATE) and venous thromboembolism (VTE) in the 90 days after diagnosis of COVID-19 in the ambulatory (eg, outpatient, emergency department, nursing facility) setting from seven countries across North America (Canada, US) and Europe (England, Germany, Italy, Netherlands, and Spain) within periods before and during COVID-19 vaccine availability. Patients and Methods We conducted cohort studies of patients initially diagnosed with COVID-19 in the ambulatory setting from the seven specified countries. Patients were followed for 90 days after COVID-19 diagnosis. The primary outcomes were ATE and VTE over 90 days from diagnosis date. We measured country-level estimates of 90-day absolute risk (with 95% confidence intervals) of ATE and VTE. Results The seven cohorts included 1,061,565 patients initially diagnosed with COVID-19 in the ambulatory setting before COVID-19 vaccines were available (through November 2020). The 90-day absolute risk of ATE during this period ranged from 0.11% (0.09-0.13%) in Canada to 1.01% (0.97-1.05%) in the US, and the 90-day absolute risk of VTE ranged from 0.23% (0.21-0.26%) in Canada to 0.84% (0.80-0.89%) in England. The seven cohorts included 3,544,062 patients with COVID-19 during vaccine availability (beginning December 2020). The 90-day absolute risk of ATE during this period ranged from 0.06% (0.06-0.07%) in England to 1.04% (1.01-1.06%) in the US, and the 90-day absolute risk of VTE ranged from 0.25% (0.24-0.26%) in England to 1.02% (0.99-1.04%) in the US. Conclusion There was heterogeneity by country in 90-day absolute risk of ATE and VTE after ambulatory COVID-19 diagnosis both before and during COVID-19 vaccine availability.
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Affiliation(s)
- Vincent Lo Re III
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Noelle M Cocoros
- Department of Population Medicine, Harvard Medical School, Boston, MA, USA
- Harvard Pilgrim Healthcare Institute, Boston, MA, USA
| | - Rebecca A Hubbard
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sarah K Dutcher
- Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Craig W Newcomb
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John G Connolly
- Department of Population Medicine, Harvard Medical School, Boston, MA, USA
- Harvard Pilgrim Healthcare Institute, Boston, MA, USA
| | - Silvia Perez-Vilar
- Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Dena M Carbonari
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Maria E Kempner
- Department of Population Medicine, Harvard Medical School, Boston, MA, USA
- Harvard Pilgrim Healthcare Institute, Boston, MA, USA
| | - José J Hernández-Muñoz
- Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Andrew B Petrone
- Department of Population Medicine, Harvard Medical School, Boston, MA, USA
- Harvard Pilgrim Healthcare Institute, Boston, MA, USA
| | - Allyson M Pishko
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Meighan E Rogers Driscoll
- Department of Population Medicine, Harvard Medical School, Boston, MA, USA
- Harvard Pilgrim Healthcare Institute, Boston, MA, USA
| | | | - Sean Burnett
- Canadian Network for Observational Drug Effect Studies (CNODES), Toronto, Ontario, Canada
- Therapeutics Initiative, University of British Columbia, Vancouver, British Columbia, Canada
| | - Catherine Cohet
- Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, Netherlands
| | - Matthew Dahl
- Canadian Network for Observational Drug Effect Studies (CNODES), Toronto, Ontario, Canada
- Manitoba Centre for Health Policy, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Antonella Delmestri
- Pharmaco- and Device Epidemiology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | | | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Laura B Harrington
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | - Jennifer L Kuntz
- Kaiser Permanente Northwest Center for Health Research, Portland, OR, USA
| | - Xavier Kurz
- Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, Netherlands
| | - Núria Mercadé-Besora
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | | | - Peter R Rijnbeek
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
| | | | - Claudia A Steiner
- Kaiser Permanente Colorado Institute for Health Research, Aurora, CO, USA
- Colorado Permanente Medical Group, Denver, CO, USA
| | - Katia Verhamme
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Fangyun Wu
- Canadian Network for Observational Drug Effect Studies (CNODES), Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | - Yunping Zhou
- Humana Healthcare Research, Inc., Louisville, KY, USA
| | - Edward Burn
- Pharmaco- and Device Epidemiology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | - J Michael Paterson
- Canadian Network for Observational Drug Effect Studies (CNODES), Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | - Daniel Prieto-Alhambra
- Pharmaco- and Device Epidemiology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
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5
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Luque R, Osborn HP, Leleu A, Pallé E, Bonfanti A, Barragán O, Wilson TG, Broeg C, Cameron AC, Lendl M, Maxted PFL, Alibert Y, Gandolfi D, Delisle JB, Hooton MJ, Egger JA, Nowak G, Lafarga M, Rapetti D, Twicken JD, Morales JC, Carleo I, Orell-Miquel J, Adibekyan V, Alonso R, Alqasim A, Amado PJ, Anderson DR, Anglada-Escudé G, Bandy T, Bárczy T, Barrado Navascues D, Barros SCC, Baumjohann W, Bayliss D, Bean JL, Beck M, Beck T, Benz W, Billot N, Bonfils X, Borsato L, Boyle AW, Brandeker A, Bryant EM, Cabrera J, Carrazco-Gaxiola S, Charbonneau D, Charnoz S, Ciardi DR, Cochran WD, Collins KA, Crossfield IJM, Csizmadia S, Cubillos PE, Dai F, Davies MB, Deeg HJ, Deleuil M, Deline A, Delrez L, Demangeon ODS, Demory BO, Ehrenreich D, Erikson A, Esparza-Borges E, Falk B, Fortier A, Fossati L, Fridlund M, Fukui A, Garcia-Mejia J, Gill S, Gillon M, Goffo E, Gómez Maqueo Chew Y, Güdel M, Guenther EW, Günther MN, Hatzes AP, Helling C, Hesse KM, Howell SB, Hoyer S, Ikuta K, Isaak KG, Jenkins JM, Kagetani T, Kiss LL, Kodama T, Korth J, Lam KWF, Laskar J, Latham DW, Lecavelier des Etangs A, Leon JPD, Livingston JH, Magrin D, Matson RA, Matthews EC, Mordasini C, Mori M, Moyano M, Munari M, Murgas F, Narita N, Nascimbeni V, Olofsson G, Osborne HLM, Ottensamer R, Pagano I, Parviainen H, Peter G, Piotto G, Pollacco D, Queloz D, Quinn SN, Quirrenbach A, Ragazzoni R, Rando N, Ratti F, Rauer H, Redfield S, Ribas I, Ricker GR, Rudat A, Sabin L, Salmon S, Santos NC, Scandariato G, Schanche N, Schlieder JE, Seager S, Ségransan D, Shporer A, Simon AE, Smith AMS, Sousa SG, Stalport M, Szabó GM, Thomas N, Tuson A, Udry S, Vanderburg AM, Van Eylen V, Van Grootel V, Venturini J, Walter I, Walton NA, Watanabe N, Winn JN, Zingales T. A resonant sextuplet of sub-Neptunes transiting the bright star HD 110067. Nature 2023; 623:932-937. [PMID: 38030780 DOI: 10.1038/s41586-023-06692-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 09/28/2023] [Indexed: 12/01/2023]
Abstract
Planets with radii between that of the Earth and Neptune (hereafter referred to as 'sub-Neptunes') are found in close-in orbits around more than half of all Sun-like stars1,2. However, their composition, formation and evolution remain poorly understood3. The study of multiplanetary systems offers an opportunity to investigate the outcomes of planet formation and evolution while controlling for initial conditions and environment. Those in resonance (with their orbital periods related by a ratio of small integers) are particularly valuable because they imply a system architecture practically unchanged since its birth. Here we present the observations of six transiting planets around the bright nearby star HD 110067. We find that the planets follow a chain of resonant orbits. A dynamical study of the innermost planet triplet allowed the prediction and later confirmation of the orbits of the rest of the planets in the system. The six planets are found to be sub-Neptunes with radii ranging from 1.94R⊕ to 2.85R⊕. Three of the planets have measured masses, yielding low bulk densities that suggest the presence of large hydrogen-dominated atmospheres.
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Affiliation(s)
- R Luque
- Department of Astronomy and Astrophysics, University of Chicago, Chicago, IL, USA.
| | - H P Osborn
- Space Research and Planetary Sciences, Physics Institute, University of Bern, Bern, Switzerland
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - A Leleu
- Space Research and Planetary Sciences, Physics Institute, University of Bern, Bern, Switzerland
- Observatoire Astronomique de l'Université de Genève, Versoix, Switzerland
| | - E Pallé
- Instituto de Astrofisica de Canarias, La Laguna, Tenerife, Spain
- Departamento de Astrofisica, Universidad de La Laguna, La Laguna, Tenerife, Spain
| | - A Bonfanti
- Space Research Institute, Austrian Academy of Sciences, Graz, Austria
| | - O Barragán
- Sub-department of Astrophysics, Department of Physics, University of Oxford, Oxford, UK
| | - T G Wilson
- Centre for Exoplanet Science, SUPA School of Physics and Astronomy, University of St Andrews, St Andrews, UK
- Department of Physics, University of Warwick, Coventry, UK
- Centre for Exoplanets and Habitability, University of Warwick, Coventry, UK
| | - C Broeg
- Space Research and Planetary Sciences, Physics Institute, University of Bern, Bern, Switzerland
- Center for Space and Habitability, University of Bern, Bern, Switzerland
| | - A Collier Cameron
- Centre for Exoplanet Science, SUPA School of Physics and Astronomy, University of St Andrews, St Andrews, UK
| | - M Lendl
- Observatoire Astronomique de l'Université de Genève, Versoix, Switzerland
| | - P F L Maxted
- Astrophysics Group, Lennard Jones Building, Keele University, Keele, UK
| | - Y Alibert
- Space Research and Planetary Sciences, Physics Institute, University of Bern, Bern, Switzerland
- Center for Space and Habitability, University of Bern, Bern, Switzerland
| | - D Gandolfi
- Dipartimento di Fisica, Universita degli Studi di Torino, Torino, Italy
| | - J-B Delisle
- Observatoire Astronomique de l'Université de Genève, Versoix, Switzerland
| | - M J Hooton
- Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | - J A Egger
- Space Research and Planetary Sciences, Physics Institute, University of Bern, Bern, Switzerland
| | - G Nowak
- Instituto de Astrofisica de Canarias, La Laguna, Tenerife, Spain
- Departamento de Astrofisica, Universidad de La Laguna, La Laguna, Tenerife, Spain
- Institute of Astronomy, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Toruń, Poland
| | - M Lafarga
- Department of Physics, University of Warwick, Coventry, UK
- Centre for Exoplanets and Habitability, University of Warwick, Coventry, UK
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- NASA Ames Research Center, Moffett Field, CA, USA
- Research Institute for Advanced Computer Science, Universities Space Research Association, Washington, DC, USA
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- NASA Ames Research Center, Moffett Field, CA, USA
- SETI Institute, Mountain View, CA, USA
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- Institut de Ciencies de l'Espai (ICE-CSIC), Bellaterra, Spain
- Institut d'Estudis Espacials de Catalunya (IEEC), Barcelona, Spain
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- Instituto de Astrofisica de Canarias, La Laguna, Tenerife, Spain
- INAF - Osservatorio Astrofisico di Torino, Pino Torinese, Italy
| | - J Orell-Miquel
- Instituto de Astrofisica de Canarias, La Laguna, Tenerife, Spain
- Departamento de Astrofisica, Universidad de La Laguna, La Laguna, Tenerife, Spain
| | - V Adibekyan
- Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, Porto, Portugal
- Departamento de Física e Astronomia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
| | - R Alonso
- Instituto de Astrofisica de Canarias, La Laguna, Tenerife, Spain
- Departamento de Astrofisica, Universidad de La Laguna, La Laguna, Tenerife, Spain
| | - A Alqasim
- Mullard Space Science Laboratory, University College London, Dorking, UK
| | - P J Amado
- Instituto de Astrofísica de Andalucía (IAA-CSIC), Granada, Spain
| | - D R Anderson
- Department of Physics, University of Warwick, Coventry, UK
- Centre for Exoplanets and Habitability, University of Warwick, Coventry, UK
| | - G Anglada-Escudé
- Institut de Ciencies de l'Espai (ICE-CSIC), Bellaterra, Spain
- Institut d'Estudis Espacials de Catalunya (IEEC), Barcelona, Spain
| | - T Bandy
- European Space Research and Technology Centre (ESTEC), European Space Agency (ESA), Noordwijk, The Netherlands
| | | | | | - S C C Barros
- Instituto de Astrofisica e Ciencias do Espaco, Universidade do Porto, Porto, Portugal
- Departamento de Fisica e Astronomia, Faculdade de Ciencias, Universidade do Porto, Porto, Portugal
| | - W Baumjohann
- Space Research Institute, Austrian Academy of Sciences, Graz, Austria
| | - D Bayliss
- Department of Physics, University of Warwick, Coventry, UK
| | - J L Bean
- Department of Astronomy and Astrophysics, University of Chicago, Chicago, IL, USA
| | - M Beck
- Observatoire Astronomique de l'Université de Genève, Versoix, Switzerland
| | - T Beck
- Space Research and Planetary Sciences, Physics Institute, University of Bern, Bern, Switzerland
| | - W Benz
- Space Research and Planetary Sciences, Physics Institute, University of Bern, Bern, Switzerland
- Center for Space and Habitability, University of Bern, Bern, Switzerland
| | - N Billot
- Observatoire Astronomique de l'Université de Genève, Versoix, Switzerland
| | - X Bonfils
- Université Grenoble Alpes, CNRS, IPAG, Grenoble, France
| | - L Borsato
- INAF - Osservatorio Astronomico di Padova, Padova, Italy
| | - A W Boyle
- Department of Astronomy, California Institute of Technology, Pasadena, CA, USA
| | - A Brandeker
- Department of Astronomy, Stockholm University, AlbaNova University Center, Stockholm, Sweden
| | - E M Bryant
- Department of Physics, University of Warwick, Coventry, UK
- Mullard Space Science Laboratory, University College London, Dorking, UK
| | - J Cabrera
- Institute of Planetary Research, German Aerospace Center (DLR), Berlin, Germany
| | - S Carrazco-Gaxiola
- Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
- Department of Physics and Astronomy, Georgia State University, Atlanta, GA, USA
- RECONS Institute, Chambersburg, PA, USA
| | - D Charbonneau
- Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA, USA
| | - S Charnoz
- Université de Paris Cité, Institut de Physique du Globe de Paris, CNRS, Paris, France
| | - D R Ciardi
- Department of Astronomy, California Institute of Technology, Pasadena, CA, USA
| | - W D Cochran
- McDonald Observatory, The University of Texas, Austin, TX, USA
- Center for Planetary Systems Habitability, The University of Texas, Austin, TX, USA
| | - K A Collins
- Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA, USA
| | - I J M Crossfield
- Department of Physics and Astronomy, University of Kansas, Lawrence, KS, USA
| | - Sz Csizmadia
- Institute of Planetary Research, German Aerospace Center (DLR), Berlin, Germany
| | - P E Cubillos
- Space Research Institute, Austrian Academy of Sciences, Graz, Austria
- INAF - Osservatorio Astrofisico di Torino, Pino Torinese, Italy
| | - F Dai
- Department of Astronomy, California Institute of Technology, Pasadena, CA, USA
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
| | - M B Davies
- Centre for Mathematical Sciences, Lund University, Lund, Sweden
| | - H J Deeg
- Instituto de Astrofisica de Canarias, La Laguna, Tenerife, Spain
- Departamento de Astrofisica, Universidad de La Laguna, La Laguna, Tenerife, Spain
| | - M Deleuil
- Aix Marseille Univ., CNRS, CNES, LAM, Marseille, France
| | - A Deline
- Observatoire Astronomique de l'Université de Genève, Versoix, Switzerland
| | - L Delrez
- Astrobiology Research Unit, Université de Liège, Liège, Belgium
- Space sciences, Technologies and Astrophysics Research (STAR) Institute, Université de Liège, Liège, Belgium
| | - O D S Demangeon
- Instituto de Astrofisica e Ciencias do Espaco, Universidade do Porto, Porto, Portugal
- Departamento de Fisica e Astronomia, Faculdade de Ciencias, Universidade do Porto, Porto, Portugal
| | - B-O Demory
- Space Research and Planetary Sciences, Physics Institute, University of Bern, Bern, Switzerland
- Center for Space and Habitability, University of Bern, Bern, Switzerland
| | - D Ehrenreich
- Observatoire Astronomique de l'Université de Genève, Versoix, Switzerland
- Centre Vie dans l'Univers, Faculté des sciences, Université de Genève, Genève 4, Switzerland
| | - A Erikson
- Institute of Planetary Research, German Aerospace Center (DLR), Berlin, Germany
| | - E Esparza-Borges
- Instituto de Astrofisica de Canarias, La Laguna, Tenerife, Spain
- Departamento de Astrofisica, Universidad de La Laguna, La Laguna, Tenerife, Spain
| | - B Falk
- Space Telescope Science Institute, Baltimore, MD, USA
| | - A Fortier
- Space Research and Planetary Sciences, Physics Institute, University of Bern, Bern, Switzerland
- Center for Space and Habitability, University of Bern, Bern, Switzerland
| | - L Fossati
- Space Research Institute, Austrian Academy of Sciences, Graz, Austria
| | - M Fridlund
- Leiden Observatory, University of Leiden, Leiden, The Netherlands
- Onsala Space Observatory, Department of Space, Earth and Environment, Chalmers University of Technology, Onsala, Sweden
| | - A Fukui
- Instituto de Astrofisica de Canarias, La Laguna, Tenerife, Spain
- Komaba Institute for Science, The University of Tokyo, Tokyo, Japan
| | - J Garcia-Mejia
- Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA, USA
| | - S Gill
- Department of Physics, University of Warwick, Coventry, UK
| | - M Gillon
- Astrobiology Research Unit, Université de Liège, Liège, Belgium
| | - E Goffo
- Dipartimento di Fisica, Universita degli Studi di Torino, Torino, Italy
- Thüringer Landessternwarte Tautenburg, Tautenburg, Germany
| | - Y Gómez Maqueo Chew
- Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - M Güdel
- Department of Astrophysics, University of Vienna, Vienna, Austria
| | - E W Guenther
- Thüringer Landessternwarte Tautenburg, Tautenburg, Germany
| | - M N Günther
- European Space Research and Technology Centre (ESTEC), European Space Agency (ESA), Noordwijk, The Netherlands
| | - A P Hatzes
- Thüringer Landessternwarte Tautenburg, Tautenburg, Germany
| | - Ch Helling
- Space Research Institute, Austrian Academy of Sciences, Graz, Austria
| | - K M Hesse
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - S B Howell
- NASA Ames Research Center, Moffett Field, CA, USA
| | - S Hoyer
- Aix Marseille Univ., CNRS, CNES, LAM, Marseille, France
| | - K Ikuta
- Department of Multi-Disciplinary Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
| | - K G Isaak
- European Space Research and Technology Centre (ESTEC), European Space Agency (ESA), Noordwijk, The Netherlands
| | - J M Jenkins
- NASA Ames Research Center, Moffett Field, CA, USA
| | - T Kagetani
- Department of Multi-Disciplinary Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
| | - L L Kiss
- Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences, Budapest, Hungary
- Institute of Physics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - T Kodama
- Komaba Institute for Science, The University of Tokyo, Tokyo, Japan
| | - J Korth
- Lund Observatory, Division of Astrophysics, Department of Physics, Lund University, Lund, Sweden
| | - K W F Lam
- Institute of Planetary Research, German Aerospace Center (DLR), Berlin, Germany
| | - J Laskar
- IMCCE, UMR8028 CNRS, Observatoire de Paris, PSL Univ., Sorbonne Univ., Paris, France
| | - D W Latham
- Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA, USA
| | - A Lecavelier des Etangs
- Institut d'Astrophysique de Paris, UMR7095 CNRS, Université Pierre & Marie Curie, Paris, France
| | - J P D Leon
- Department of Multi-Disciplinary Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
| | - J H Livingston
- Astrobiology Center, Tokyo, Japan
- National Astronomical Observatory of Japan, Tokyo, Japan
- Department of Astronomical Science, The Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan
| | - D Magrin
- INAF - Osservatorio Astronomico di Padova, Padova, Italy
| | - R A Matson
- United States Naval Observatory, Washington, DC, USA
| | - E C Matthews
- Max Planck Institute for Astronomy, Heidelberg, Germany
| | - C Mordasini
- Space Research and Planetary Sciences, Physics Institute, University of Bern, Bern, Switzerland
- Center for Space and Habitability, University of Bern, Bern, Switzerland
| | - M Mori
- Department of Multi-Disciplinary Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
| | - M Moyano
- Instituto de Astronomía, Universidad Católica del Norte, Antofagasta, Chile
| | - M Munari
- INAF - Osservatorio Astrofisico di Catania, Catania, Italy
| | - F Murgas
- Instituto de Astrofisica de Canarias, La Laguna, Tenerife, Spain
- Departamento de Astrofisica, Universidad de La Laguna, La Laguna, Tenerife, Spain
| | - N Narita
- Instituto de Astrofisica de Canarias, La Laguna, Tenerife, Spain
- Komaba Institute for Science, The University of Tokyo, Tokyo, Japan
- Astrobiology Center, Tokyo, Japan
| | - V Nascimbeni
- INAF - Osservatorio Astronomico di Padova, Padova, Italy
| | - G Olofsson
- Department of Astronomy, Stockholm University, AlbaNova University Center, Stockholm, Sweden
| | - H L M Osborne
- Mullard Space Science Laboratory, University College London, Dorking, UK
| | - R Ottensamer
- Department of Astrophysics, University of Vienna, Vienna, Austria
| | - I Pagano
- INAF - Osservatorio Astrofisico di Catania, Catania, Italy
| | - H Parviainen
- Instituto de Astrofisica de Canarias, La Laguna, Tenerife, Spain
- Departamento de Astrofisica, Universidad de La Laguna, La Laguna, Tenerife, Spain
| | - G Peter
- Institute of Optical Sensor Systems, German Aerospace Center (DLR), Berlin, Germany
| | - G Piotto
- INAF - Osservatorio Astronomico di Padova, Padova, Italy
- Dipartimento di Fisica e Astronomia "Galileo Galilei", Universita degli Studi di Padova, Padova, Italy
| | - D Pollacco
- Department of Physics, University of Warwick, Coventry, UK
| | - D Queloz
- Cavendish Laboratory, University of Cambridge, Cambridge, UK
- Department of Physics, ETH Zurich, Zurich, Switzerland
| | - S N Quinn
- Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA, USA
| | - A Quirrenbach
- Landessternwarte, Zentrum für Astronomie der Universität Heidelberg, Heidelberg, Germany
| | - R Ragazzoni
- INAF - Osservatorio Astronomico di Padova, Padova, Italy
- Dipartimento di Fisica e Astronomia "Galileo Galilei", Universita degli Studi di Padova, Padova, Italy
| | - N Rando
- European Space Research and Technology Centre (ESTEC), European Space Agency (ESA), Noordwijk, The Netherlands
| | - F Ratti
- European Space Research and Technology Centre (ESTEC), European Space Agency (ESA), Noordwijk, The Netherlands
| | - H Rauer
- Institute of Planetary Research, German Aerospace Center (DLR), Berlin, Germany
- Zentrum für Astronomie und Astrophysik, Technische Universität Berlin, Berlin, Germany
- Institut für Geologische Wissenschaften, Freie Universität Berlin, Berlin, Germany
| | - S Redfield
- Astronomy Department, Wesleyan University, Middletown, CT, USA
- Van Vleck Observatory, Wesleyan University, Middletown, CT, USA
| | - I Ribas
- Institut de Ciencies de l'Espai (ICE-CSIC), Bellaterra, Spain
- Institut d'Estudis Espacials de Catalunya (IEEC), Barcelona, Spain
| | - G R Ricker
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - A Rudat
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - L Sabin
- Instituto de Astronomía, Universidad Nacional Autónoma de México, Ensenada, Mexico
| | - S Salmon
- Observatoire Astronomique de l'Université de Genève, Versoix, Switzerland
| | - N C Santos
- Instituto de Astrofisica e Ciencias do Espaco, Universidade do Porto, Porto, Portugal
- Departamento de Fisica e Astronomia, Faculdade de Ciencias, Universidade do Porto, Porto, Portugal
| | - G Scandariato
- INAF - Osservatorio Astrofisico di Catania, Catania, Italy
| | - N Schanche
- Center for Space and Habitability, University of Bern, Bern, Switzerland
- Department of Astronomy, University of Maryland, College Park, MD, USA
| | - J E Schlieder
- NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - S Seager
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - D Ségransan
- Observatoire Astronomique de l'Université de Genève, Versoix, Switzerland
| | - A Shporer
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - A E Simon
- Space Research and Planetary Sciences, Physics Institute, University of Bern, Bern, Switzerland
| | - A M S Smith
- Institute of Planetary Research, German Aerospace Center (DLR), Berlin, Germany
| | - S G Sousa
- Instituto de Astrofisica e Ciencias do Espaco, Universidade do Porto, Porto, Portugal
| | - M Stalport
- Space sciences, Technologies and Astrophysics Research (STAR) Institute, Université de Liège, Liège, Belgium
| | - Gy M Szabó
- Gothard Astrophysical Observatory, ELTE Eötvös Loránd University, Szombathely, Hungary
- HUN-REN-ELTE Exoplanet Research Group, Szombathely, Hungary
| | - N Thomas
- Space Research and Planetary Sciences, Physics Institute, University of Bern, Bern, Switzerland
| | - A Tuson
- Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | - S Udry
- Observatoire Astronomique de l'Université de Genève, Versoix, Switzerland
| | - A M Vanderburg
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - V Van Eylen
- Mullard Space Science Laboratory, University College London, Dorking, UK
| | - V Van Grootel
- Space sciences, Technologies and Astrophysics Research (STAR) Institute, Université de Liège, Liège, Belgium
| | - J Venturini
- Observatoire Astronomique de l'Université de Genève, Versoix, Switzerland
| | - I Walter
- Institute of Optical Sensor Systems, German Aerospace Center (DLR), Berlin, Germany
| | - N A Walton
- Institute of Astronomy, University of Cambridge, Cambridge, UK
| | - N Watanabe
- Department of Multi-Disciplinary Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
| | - J N Winn
- Department of Astrophysical Sciences, Princeton University, Princeton, NJ, USA
| | - T Zingales
- Dipartimento di Fisica e Astronomia "Galileo Galilei", Universita degli Studi di Padova, Padova, Italy
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Khera R, Dhingra LS, Aminorroaya A, Li K, Zhou JJ, Arshad F, Blacketer C, Bowring MG, Bu F, Cook M, Dorr DA, Duarte-Salles T, DuVall SL, Falconer T, French TE, Hanchrow EE, Horban S, Lau WCY, Li J, Liu Y, Lu Y, Man KKC, Matheny ME, Mathioudakis N, McLemore MF, Minty E, Morales DR, Nagy P, Nishimura A, Ostropolets A, Pistillo A, Posada JD, Pratt N, Reyes C, Ross JS, Seager S, Shah N, Simon K, Wan EYF, Yang J, Yin C, You SC, Schuemie MJ, Ryan PB, Hripcsak G, Krumholz H, Suchard MA. Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM. BMJ Med 2023; 2:e000651. [PMID: 37829182 PMCID: PMC10565313 DOI: 10.1136/bmjmed-2023-000651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 07/07/2023] [Indexed: 10/14/2023]
Abstract
Objective To assess the uptake of second line antihyperglycaemic drugs among patients with type 2 diabetes mellitus who are receiving metformin. Design Federated pharmacoepidemiological evaluation in LEGEND-T2DM. Setting 10 US and seven non-US electronic health record and administrative claims databases in the Observational Health Data Sciences and Informatics network in eight countries from 2011 to the end of 2021. Participants 4.8 million patients (≥18 years) across US and non-US based databases with type 2 diabetes mellitus who had received metformin monotherapy and had initiated second line treatments. Exposure The exposure used to evaluate each database was calendar year trends, with the years in the study that were specific to each cohort. Main outcomes measures The outcome was the incidence of second line antihyperglycaemic drug use (ie, glucagon-like peptide-1 receptor agonists, sodium-glucose cotransporter-2 inhibitors, dipeptidyl peptidase-4 inhibitors, and sulfonylureas) among individuals who were already receiving treatment with metformin. The relative drug class level uptake across cardiovascular risk groups was also evaluated. Results 4.6 million patients were identified in US databases, 61 382 from Spain, 32 442 from Germany, 25 173 from the UK, 13 270 from France, 5580 from Scotland, 4614 from Hong Kong, and 2322 from Australia. During 2011-21, the combined proportional initiation of the cardioprotective antihyperglycaemic drugs (glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors) increased across all data sources, with the combined initiation of these drugs as second line drugs in 2021 ranging from 35.2% to 68.2% in the US databases, 15.4% in France, 34.7% in Spain, 50.1% in Germany, and 54.8% in Scotland. From 2016 to 2021, in some US and non-US databases, uptake of glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors increased more significantly among populations with no cardiovascular disease compared with patients with established cardiovascular disease. No data source provided evidence of a greater increase in the uptake of these two drug classes in populations with cardiovascular disease compared with no cardiovascular disease. Conclusions Despite the increase in overall uptake of cardioprotective antihyperglycaemic drugs as second line treatments for type 2 diabetes mellitus, their uptake was lower in patients with cardiovascular disease than in people with no cardiovascular disease over the past decade. A strategy is needed to ensure that medication use is concordant with guideline recommendations to improve outcomes of patients with type 2 diabetes mellitus.
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Affiliation(s)
- Rohan Khera
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT, USA
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA
- Section of Health Informatics, Department of Biostatistics, Yale University School of Public Health, New Haven, CT, USA
| | - Lovedeep Singh Dhingra
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT, USA
| | - Arya Aminorroaya
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT, USA
| | - Kelly Li
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | - Jin J Zhou
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Faaizah Arshad
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | - Clair Blacketer
- Observational Health Data Analytics, Janssen Research and Development, Titusville, NJ, USA
| | - Mary G Bowring
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Fan Bu
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | - Michael Cook
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David A Dorr
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University School of Medicine, Portland, OR, USA
| | - Talita Duarte-Salles
- Real-World Epidemiology Research Group, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Scott L DuVall
- Veterans Affairs Informatics and Computing Infrastructure, United States Department of Veterans Affairs, Salt Lake City, UT, USA
- The University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Thomas Falconer
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | - Tina E French
- Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Elizabeth E Hanchrow
- Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Scott Horban
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Wallis CY Lau
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
- Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, UK
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong, China
| | - Jing Li
- Data Transformation, Analytics, and Artificial Intelligence, Real World Solutions, IQVIA Inc, Durham, NC, USA
| | - Yuntian Liu
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT, USA
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA
| | - Yuan Lu
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT, USA
| | - Kenneth KC Man
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
- Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, UK
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong, China
| | - Michael E Matheny
- Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nestoras Mathioudakis
- Division of Endocrinology, Diabetes, and Metabolism, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael F McLemore
- Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Evan Minty
- Faculty of Medicine, O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
| | - Daniel R Morales
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Paul Nagy
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Health Science Informatics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Akihiko Nishimura
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Anna Ostropolets
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Andrea Pistillo
- Real-World Epidemiology Research Group, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Jose D Posada
- Systems Engineering and Computing, School of Engineering, Universidad del Norte, Barranquilla, Colombia
| | - Nicole Pratt
- Quality Use of Medicines and Pharmacy Research Centre, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Carlen Reyes
- Real-World Epidemiology Research Group, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Joseph S Ross
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA
- Section of General Medicine and National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Health Policy and Management, Yale University School of Public Health, New Haven, CT, USA
| | - Sarah Seager
- Data Transformation, Analytics, and Artificial Intelligence, Real World Solutions, IQVIA Inc, Durham, NC, USA
| | - Nigam Shah
- Center for Biomedical Informatics Research, Stanford University School of Medicine, Stanford, CA, USA
- Clinical Excellence Research Center, Stanford University School of Medicine, Stanford, CA, USA
- Technology and Digital Solutions, Stanford Health Care, Stanford, CA, USA
| | - Katherine Simon
- Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Eric YF Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, University of Hong Kong, Hong Kong, China
| | - Jianxiao Yang
- Department of Computational Medicine, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, USA
| | - Can Yin
- Data Transformation, Analytics, and Artificial Intelligence, Real World Solutions, IQVIA Inc, Durham, NC, USA
| | - Seng Chan You
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea (aka South Korea)
- Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea (aka South Korea)
| | - Martijn J Schuemie
- Epidemiology, Office of the Chief Medical Officer, Johnson & Johnson, Titusville, NJ, USA
| | - Patrick B Ryan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Harlan Krumholz
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT, USA
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA
- Department of Health Policy and Management, Yale University School of Public Health, New Haven, CT, USA
| | - Marc A Suchard
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
- Veterans Affairs Informatics and Computing Infrastructure, United States Department of Veterans Affairs, Salt Lake City, UT, USA
- Department of Biomathematics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
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7
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You SC, Seo SI, Falconer T, Yanover C, Duarte-Salles T, Seager S, Posada JD, Shah NH, Nguyen PA, Kim Y, Hsu JC, Van Zandt M, Hsu MH, Lee HL, Ko H, Shin WG, Pratt N, Park RW, Reich CG, Suchard MA, Hripcsak G, Park CH, Prieto-Alhambra D. Ranitidine Use and Incident Cancer in a Multinational Cohort. JAMA Netw Open 2023; 6:e2333495. [PMID: 37725377 PMCID: PMC10509724 DOI: 10.1001/jamanetworkopen.2023.33495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 08/02/2023] [Indexed: 09/21/2023] Open
Abstract
Importance Ranitidine, the most widely used histamine-2 receptor antagonist (H2RA), was withdrawn because of N-nitrosodimethylamine impurity in 2020. Given the worldwide exposure to this drug, the potential risk of cancer development associated with the intake of known carcinogens is an important epidemiological concern. Objective To examine the comparative risk of cancer associated with the use of ranitidine vs other H2RAs. Design, Setting, and Participants This new-user active comparator international network cohort study was conducted using 3 health claims and 9 electronic health record databases from the US, the United Kingdom, Germany, Spain, France, South Korea, and Taiwan. Large-scale propensity score (PS) matching was used to minimize confounding of the observed covariates with negative control outcomes. Empirical calibration was performed to account for unobserved confounding. All databases were mapped to a common data model. Database-specific estimates were combined using random-effects meta-analysis. Participants included individuals aged at least 20 years with no history of cancer who used H2RAs for more than 30 days from January 1986 to December 2020, with a 1-year washout period. Data were analyzed from April to September 2021. Exposure The main exposure was use of ranitidine vs other H2RAs (famotidine, lafutidine, nizatidine, and roxatidine). Main Outcomes and Measures The primary outcome was incidence of any cancer, except nonmelanoma skin cancer. Secondary outcomes included all cancer except thyroid cancer, 16 cancer subtypes, and all-cause mortality. Results Among 1 183 999 individuals in 11 databases, 909 168 individuals (mean age, 56.1 years; 507 316 [55.8%] women) were identified as new users of ranitidine, and 274 831 individuals (mean age, 58.0 years; 145 935 [53.1%] women) were identified as new users of other H2RAs. Crude incidence rates of cancer were 14.30 events per 1000 person-years (PYs) in ranitidine users and 15.03 events per 1000 PYs among other H2RA users. After PS matching, cancer risk was similar in ranitidine compared with other H2RA users (incidence, 15.92 events per 1000 PYs vs 15.65 events per 1000 PYs; calibrated meta-analytic hazard ratio, 1.04; 95% CI, 0.97-1.12). No significant associations were found between ranitidine use and any secondary outcomes after calibration. Conclusions and Relevance In this cohort study, ranitidine use was not associated with an increased risk of cancer compared with the use of other H2RAs. Further research is needed on the long-term association of ranitidine with cancer development.
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Affiliation(s)
- Seng Chan You
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea
- Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Korea
| | - Seung In Seo
- Department of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
- Institute for Liver and Digestive Diseases, Hallym University, Chuncheon, Korea
| | - Thomas Falconer
- Department of Biomedical Informatics, Columbia University, New York, New York
| | | | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina, Barcelona, Spain
| | | | - Jose D. Posada
- Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Nigam H. Shah
- Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Phung-Anh Nguyen
- Graduate Institute of Data Science, College of Management, Taipei Medical University, Taiwan
| | - Yeesuk Kim
- Department of Orthopaedic Surgery, College of Medicine, Hanyang University, Seoul, Korea
| | - Jason C. Hsu
- International PhD Program in Biotech and Healthcare Management, College of Management, Taipei Medical University, Taipei, Taiwan
| | | | - Min-Huei Hsu
- Graduate Institute of Data Science, College of Management, Taipei Medical University, Taiwan
| | - Hang Lak Lee
- Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Heejoo Ko
- College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Woon Geon Shin
- Department of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
- Institute for Liver and Digestive Diseases, Hallym University, Chuncheon, Korea
| | - Nicole Pratt
- Quality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Rae Woong Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggi-do, Korea
| | | | - Marc A. Suchard
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles
- VA Informatics and Computing Infrastructure, US Department of Veterans Affairs, Salt Lake City, Utah
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University, New York, New York
- Medical Informatics Services, New York-Presbyterian Hospital, New York, New York
| | - Chan Hyuk Park
- Department of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Daniel Prieto-Alhambra
- Pharmaco- and Device Epidemiology, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
- Department of Medical Informatics, Erasmus Medical Center University, Rotterdam, Netherlands
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8
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Khera R, Dhingra L, Li K, Aminorroaya A, Zhou J, Arshad F, Bu F, Dorr D, Falconer T, French T, Lau W, Lu Y, Man K, Matheny ME, Minty E, Nishimura A, Ostropolets A, Seager S, Y.F. WE, Yang J, Yin C, Hripcsak G, Krumholz HM. MULTINATIONAL PATTERNS OF SECOND-LINE ANTI-HYPERGLYCEMIC DRUG INITIATION IN ESTABLISHED CARDIOVASCULAR DISEASE: A FEDERATED PHARMACOEPIDEMIOLOGIC EVALUATION IN LEGEND-T2DM. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)02090-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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9
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Lau WCY, Torre CO, Man KKC, Stewart HM, Seager S, Van Zandt M, Reich C, Li J, Brewster J, Lip GYH, Hingorani AD, Wei L, Wong ICK. Comparative Effectiveness and Safety Between Apixaban, Dabigatran, Edoxaban, and Rivaroxaban Among Patients With Atrial Fibrillation : A Multinational Population-Based Cohort Study. Ann Intern Med 2022; 175:1515-1524. [PMID: 36315950 DOI: 10.7326/m22-0511] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Current guidelines recommend using direct oral anticoagulants (DOACs) over warfarin in patients with atrial fibrillation (AF), but head-to-head trial data do not exist to guide the choice of DOAC. OBJECTIVE To do a large-scale comparison between all DOACs (apixaban, dabigatran, edoxaban, and rivaroxaban) in routine clinical practice. DESIGN Multinational population-based cohort study. SETTING Five standardized electronic health care databases, which covered 221 million people in France, Germany, the United Kingdom, and the United States. PARTICIPANTS Patients who were newly diagnosed with AF from 2010 through 2019 and received a new DOAC prescription. MEASUREMENTS Database-specific hazard ratios (HRs) of ischemic stroke or systemic embolism, intracranial hemorrhage (ICH), gastrointestinal bleeding (GIB), and all-cause mortality between DOACs were estimated using a Cox regression model stratified by propensity score and pooled using a random-effects model. RESULTS A total of 527 226 new DOAC users met the inclusion criteria (apixaban, n = 281 320; dabigatran, n = 61 008; edoxaban, n = 12 722; and rivaroxaban, n = 172 176). Apixaban use was associated with lower risk for GIB than use of dabigatran (HR, 0.81 [95% CI, 0.70 to 0.94]), edoxaban (HR, 0.77 [CI, 0.66 to 0.91]), or rivaroxaban (HR, 0.72 [CI, 0.66 to 0.79]). No substantial differences were observed for other outcomes or DOAC-DOAC comparisons. The results were consistent for patients aged 80 years or older. Consistent associations between lower GIB risk and apixaban versus rivaroxaban were observed among patients receiving the standard dose (HR, 0.72 [CI, 0.64 to 0.82]), those receiving a reduced dose (HR, 0.68 [CI, 0.61 to 0.77]), and those with chronic kidney disease (HR, 0.68 [CI, 0.59 to 0.77]). LIMITATION Residual confounding is possible. CONCLUSION Among patients with AF, apixaban use was associated with lower risk for GIB and similar rates of ischemic stroke or systemic embolism, ICH, and all-cause mortality compared with dabigatran, edoxaban, and rivaroxaban. This finding was consistent for patients aged 80 years or older and those with chronic kidney disease, who are often underrepresented in clinical trials. PRIMARY FUNDING SOURCE None.
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Affiliation(s)
- Wallis C Y Lau
- Research Department of Practice and Policy, University College London School of Pharmacy, London, United Kingdom, Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom, Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, and Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong (W.C.Y.L., K.K.C.M.)
| | - Carmen Olga Torre
- IQVIA, Real-World Solutions, Brighton, United Kingdom (C.O.T., H.M.S., S.S.)
| | - Kenneth K C Man
- Research Department of Practice and Policy, University College London School of Pharmacy, London, United Kingdom, Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom, Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, and Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong (W.C.Y.L., K.K.C.M.)
| | | | - Sarah Seager
- IQVIA, Real-World Solutions, Brighton, United Kingdom (C.O.T., H.M.S., S.S.)
| | - Mui Van Zandt
- IQVIA, Real-World Solutions, Plymouth Meeting, Pennsylvania (M.V., C.R.)
| | - Christian Reich
- IQVIA, Real-World Solutions, Plymouth Meeting, Pennsylvania (M.V., C.R.)
| | - Jing Li
- IQVIA, Real-World Solutions, Durham, North Carolina (J.L., J.B.)
| | - Jack Brewster
- IQVIA, Real-World Solutions, Durham, North Carolina (J.L., J.B.)
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom, and Department of Clinical Medicine, Aalborg University, Aalborg, Denmark (G.Y.H.L.)
| | - Aroon D Hingorani
- Institute of Cardiovascular Sciences, University College London, and University College London British Heart Foundation Research Accelerator, London, United Kingdom (A.D.H.)
| | - Li Wei
- Research Department of Practice and Policy, University College London School of Pharmacy, London, United Kingdom, Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom, and Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong (L.W.)
| | - Ian C K Wong
- Aston Pharmacy School, Aston University, Birmingham, United Kingdom, Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom, Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, and Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong (I.C.K.W.)
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10
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Burn E, Li X, Kostka K, Stewart HM, Reich C, Seager S, Duarte‐Salles T, Fernandez‐Bertolin S, Aragón M, Reyes C, Martinez‐Hernandez E, Marti E, Delmestri A, Verhamme K, Rijnbeek P, Horban S, Morales DR, Prieto‐Alhambra D. Background rates of five thrombosis with thrombocytopenia syndromes of special interest for COVID-19 vaccine safety surveillance: Incidence between 2017 and 2019 and patient profiles from 38.6 million people in six European countries. Pharmacoepidemiol Drug Saf 2022; 31:495-510. [PMID: 35191114 PMCID: PMC9088543 DOI: 10.1002/pds.5419] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 02/09/2022] [Accepted: 02/16/2022] [Indexed: 01/22/2023]
Abstract
AbstractBackgroundThrombosis with thrombocytopenia syndrome (TTS) has been reported among individuals vaccinated with adenovirus‐vectored COVID‐19 vaccines. In this study, we describe the background incidence of non‐vaccine induced TTS in six European countries.MethodsElectronic medical records from France, the Netherlands, Italy, Germany, Spain, and the United Kingdom informed the study. Incidence rates of cerebral venous sinus thrombosis (CVST), splanchnic vein thrombosis (SVT), deep vein thrombosis (DVT), pulmonary embolism (PE), and myocardial infarction or ischemic stroke, all with concurrent thrombocytopenia, were estimated among the general population of persons in a database between 2017 and 2019. A range of additional potential adverse events of special interest for COVID‐19 vaccinations were also studied in a similar manner.FindingsA total of 38 611 617 individuals were included. Background rates ranged from 1.0 (95% CI: 0.7–1.4) to 8.5 (7.4–9.9) per 100 000 person‐years for DVT with thrombocytopenia, from 0.5 (0.3–0.6) to 20.8 (18.9–22.8) for PE with thrombocytopenia, from 0.1 (0.0–0.1) to 2.5 (2.2–2.7) for SVT with thrombocytopenia, and from 1.0 (0.8–1.2) to 43.4 (40.7–46.3) for myocardial infarction or ischemic stroke with thrombocytopenia. CVST with thrombocytopenia was only identified in one database, with incidence rate of 0.1 (0.1–0.2) per 100 000 person‐years. The incidence of non‐vaccine induced TTS increased with age, and was typically greater among those with more comorbidities and greater medication use than the general population. It was also more often seen in men than women. A large proportion of those affected were seen to have been taking antithrombotic and anticoagulant therapies prior to their event.InterpretationAlthough rates vary across databases, non‐vaccine induced TTS has consistently been seen to be a very rare event among the general population. While still remaining very rare, rates were typically higher among older individuals, and those affected were also seen to generally be male and have more comorbidities and greater medication use than the general population.
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Affiliation(s)
- Edward Burn
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol)BarcelonaSpain
- Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS)University of OxfordOxfordUK
| | - Xintong Li
- Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS)University of OxfordOxfordUK
| | - Kristin Kostka
- Real World Solutions, IQVIACambridgeMassachusettsUSA
- The OHDSI Center at The Roux InstituteNortheastern UniversityPortlandMaineUSA
| | | | | | - Sarah Seager
- Real World Solutions, IQVIACambridgeMassachusettsUSA
| | - Talita Duarte‐Salles
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol)BarcelonaSpain
| | - Sergio Fernandez‐Bertolin
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol)BarcelonaSpain
| | - María Aragón
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol)BarcelonaSpain
| | - Carlen Reyes
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol)BarcelonaSpain
| | | | - Edelmira Marti
- Hemostasis and Thrombosis Unit, Hematology DepartmentHospital Clínico Universitario de ValenciaValenciaSpain
| | - Antonella Delmestri
- Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS)University of OxfordOxfordUK
| | - Katia Verhamme
- Department of Medical InformaticsErasmus University Medical CenterRotterdamThe Netherlands
| | - Peter Rijnbeek
- Department of Medical InformaticsErasmus University Medical CenterRotterdamThe Netherlands
| | - Scott Horban
- Division of Population Health and GenomicsUniversity of DundeeDundeeUK
| | - Daniel R. Morales
- Division of Population Health and GenomicsUniversity of DundeeDundeeUK
| | - Daniel Prieto‐Alhambra
- Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS)University of OxfordOxfordUK
- Department of Medical InformaticsErasmus University Medical CenterRotterdamThe Netherlands
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11
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Kostka K, Duarte-Salles T, Prats-Uribe A, Sena AG, Pistillo A, Khalid S, Lai LYH, Golozar A, Alshammari TM, Dawoud DM, Nyberg F, Wilcox AB, Andryc A, Williams A, Ostropolets A, Areia C, Jung CY, Harle CA, Reich CG, Blacketer C, Morales DR, Dorr DA, Burn E, Roel E, Tan EH, Minty E, DeFalco F, de Maeztu G, Lipori G, Alghoul H, Zhu H, Thomas JA, Bian J, Park J, Martínez Roldán J, Posada JD, Banda JM, Horcajada JP, Kohler J, Shah K, Natarajan K, Lynch KE, Liu L, Schilling LM, Recalde M, Spotnitz M, Gong M, Matheny ME, Valveny N, Weiskopf NG, Shah N, Alser O, Casajust P, Park RW, Schuff R, Seager S, DuVall SL, You SC, Song S, Fernández-Bertolín S, Fortin S, Magoc T, Falconer T, Subbian V, Huser V, Ahmed WUR, Carter W, Guan Y, Galvan Y, He X, Rijnbeek PR, Hripcsak G, Ryan PB, Suchard MA, Prieto-Alhambra D. Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS. Clin Epidemiol 2022; 14:369-384. [PMID: 35345821 PMCID: PMC8957305 DOI: 10.2147/clep.s323292] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 01/27/2022] [Indexed: 01/20/2023] Open
Abstract
Purpose Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Health Associated Risks and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD. Patients and Methods We conducted a descriptive retrospective database study using a federated network of data partners in the United States, Europe (the Netherlands, Spain, the UK, Germany, France and Italy) and Asia (South Korea and China). The study protocol and analytical package were released on 11th June 2020 and are iteratively updated via GitHub. We identified three non-mutually exclusive cohorts of 4,537,153 individuals with a clinical COVID-19 diagnosis or positive test, 886,193 hospitalized with COVID-19, and 113,627 hospitalized with COVID-19 requiring intensive services. Results We aggregated over 22,000 unique characteristics describing patients with COVID-19. All comorbidities, symptoms, medications, and outcomes are described by cohort in aggregate counts and are readily available online. Globally, we observed similarities in the USA and Europe: more women diagnosed than men but more men hospitalized than women, most diagnosed cases between 25 and 60 years of age versus most hospitalized cases between 60 and 80 years of age. South Korea differed with more women than men hospitalized. Common comorbidities included type 2 diabetes, hypertension, chronic kidney disease and heart disease. Common presenting symptoms were dyspnea, cough and fever. Symptom data availability was more common in hospitalized cohorts than diagnosed. Conclusion We constructed a global, multi-centre view to describe trends in COVID-19 progression, management and evolution over time. By characterising baseline variability in patients and geography, our work provides critical context that may otherwise be misconstrued as data quality issues. This is important as we perform studies on adverse events of special interest in COVID-19 vaccine surveillance.
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Affiliation(s)
- Kristin Kostka
- IQVIA, Cambridge, MA, USA
- OHDSI Center at The Roux Institute, Northeastern University, Portland, ME, USA
| | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Albert Prats-Uribe
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
| | - Anthony G Sena
- Janssen Research & Development, Titusville, NJ, USA
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Andrea Pistillo
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Sara Khalid
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
| | - Lana Y H Lai
- School of Medical Sciences, University of Manchester, Manchester, UK
| | - Asieh Golozar
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Dalia M Dawoud
- National Institute for Health and Care Excellence, London, UK
| | - Fredrik Nyberg
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Adam B Wilcox
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
- Unviersity of Washington Medicine, Seattle, WA, USA
| | - Alan Andryc
- Janssen Research & Development, Titusville, NJ, USA
| | - Andrew Williams
- Tufts Institute for Clinical Research and Health Policy Studies, Boston, MA, USA
| | - Anna Ostropolets
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Carlos Areia
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Chi Young Jung
- Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Daegu Catholic University Medical Center, Daegu, South Korea
| | | | - Christian G Reich
- IQVIA, Cambridge, MA, USA
- OHDSI Center at The Roux Institute, Northeastern University, Portland, ME, USA
| | - Clair Blacketer
- Janssen Research & Development, Titusville, NJ, USA
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Daniel R Morales
- Division of Population Health and Genomics, University of Dundee, Dundee, UK
| | - David A Dorr
- Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
| | - Edward Burn
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
| | - Elena Roel
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Eng Hooi Tan
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
| | - Evan Minty
- O’Brien Institute for Public Health, Faculty of Medicine, University of Calgary, Calgary, Canada
| | | | | | - Gigi Lipori
- University of Florida Health, Gainesville, FL, USA
| | - Hiba Alghoul
- Faculty of Medicine, Islamic University of Gaza, Gaza, Palestine
| | - Hong Zhu
- Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Jason A Thomas
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
| | - Jiang Bian
- University of Florida Health, Gainesville, FL, USA
| | - Jimyung Park
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, South Korea
| | - Jordi Martínez Roldán
- Director of Innovation and Digital Transformation, Hospital del Mar, Barcelona, Spain
| | - Jose D Posada
- Department of Medicine, School of Medicine, Stanford University, Redwood City, CA, USA
| | - Juan M Banda
- Georgia State University, Department of Computer Science, Atlanta, GA, USA
| | - Juan P Horcajada
- Department of Infectious Diseases, Hospital del Mar, Institut Hospital del Mar d’Investigació Mèdica (IMIM), Universitat Autònoma de Barcelona, Universitat Pompeu Fabra, Barcelona, Spain
| | - Julianna Kohler
- United States Agency for International Development, Washington, DC, USA
| | - Karishma Shah
- Botnar Research Centre, NDORMS, University of Oxford, Oxford, UK
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
- New York-Presbyterian Hospital, New York, NY, USA
| | - Kristine E Lynch
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Li Liu
- Biomedical Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Lisa M Schilling
- Data Science to Patient Value Program, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Martina Recalde
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Mengchun Gong
- Institute of Health Management, Southern Medical University, Guangzhou, People’s Republic of China
| | - Michael E Matheny
- Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Nicole G Weiskopf
- Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
| | - Nigam Shah
- Department of Medicine, School of Medicine, Stanford University, Redwood City, CA, USA
| | - Osaid Alser
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Rae Woong Park
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, South Korea
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea
| | - Robert Schuff
- Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
| | | | - Scott L DuVall
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Seng Chan You
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Seokyoung Song
- Department of Anesthesiology and Pain Medicine, Catholic University of Daegu, School of Medicine, Daegu, South Korea
| | - Sergio Fernández-Bertolín
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | | | - Tanja Magoc
- University of Florida Health, Gainesville, FL, USA
| | - Thomas Falconer
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Vignesh Subbian
- College of Engineering, The University of Arizona, Tucson, AZ, USA
| | - Vojtech Huser
- National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Waheed-Ul-Rahman Ahmed
- Botnar Research Centre, NDORMS, University of Oxford, Oxford, UK
- College of Medicine and Health, University of Exeter, St Luke’s Campus, Exeter, UK
| | - William Carter
- Data Science to Patient Value Program, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Yin Guan
- DHC Technologies Co. Ltd., Beijing, People’s Republic of China
| | | | - Xing He
- University of Florida Health, Gainesville, FL, USA
| | - Peter R Rijnbeek
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
- New York-Presbyterian Hospital, New York, NY, USA
| | - Patrick B Ryan
- Janssen Research & Development, Titusville, NJ, USA
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Marc A Suchard
- Departments of Biostatistics, Computational Medicine, and Human Genetics, University of California, Los Angeles, CA, USA
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12
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Trifonov T, Caballero JA, Morales JC, Seifahrt A, Ribas I, Reiners A, Bean JL, Luque R, Parviainen H, Pallé E, Stock S, Zechmeister M, Amado PJ, Anglada-Escudé G, Azzaro M, Barclay T, Béjar VJS, Bluhm P, Casasayas-Barris N, Cifuentes C, Collins KA, Collins KI, Cortés-Contreras M, de Leon J, Dreizler S, Dressing CD, Esparza-Borges E, Espinoza N, Fausnaugh M, Fukui A, Hatzes AP, Hellier C, Henning T, Henze CE, Herrero E, Jeffers SV, Jenkins JM, Jensen ELN, Kaminski A, Kasper D, Kossakowski D, Kürster M, Lafarga M, Latham DW, Mann AW, Molaverdikhani K, Montes D, Montet BT, Murgas F, Narita N, Oshagh M, Passegger VM, Pollacco D, Quinn SN, Quirrenbach A, Ricker GR, Rodríguez López C, Sanz-Forcada J, Schwarz RP, Schweitzer A, Seager S, Shporer A, Stangret M, Stürmer J, Tan TG, Tenenbaum P, Twicken JD, Vanderspek R, Winn JN. A nearby transiting rocky exoplanet that is suitable for atmospheric investigation. Science 2021; 371:1038-1041. [PMID: 33674491 DOI: 10.1126/science.abd7645] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 02/02/2021] [Indexed: 11/02/2022]
Abstract
Spectroscopy of transiting exoplanets can be used to investigate their atmospheric properties and habitability. Combining radial velocity (RV) and transit data provides additional information on exoplanet physical properties. We detect a transiting rocky planet with an orbital period of 1.467 days around the nearby red dwarf star Gliese 486. The planet Gliese 486 b is 2.81 Earth masses and 1.31 Earth radii, with uncertainties of 5%, as determined from RV data and photometric light curves. The host star is at a distance of ~8.1 parsecs, has a J-band magnitude of ~7.2, and is observable from both hemispheres of Earth. On the basis of these properties and the planet's short orbital period and high equilibrium temperature, we show that this terrestrial planet is suitable for emission and transit spectroscopy.
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Affiliation(s)
- T Trifonov
- Max-Planck-Institut für Astronomie, D-69117 Heidelberg, Germany.
| | - J A Caballero
- Centro de Astrobiología (Consejo Superior de Investigaciones Científicas - Instituto Nacional de Técnica Aeroespacial), E-28692 Villanueva de la Cañada, Madrid, Spain
| | - J C Morales
- Institut de Ciències de l'Espai (Consejo Superior de Investigaciones Científicas), E-08193 Bellaterra, Barcelona, Spain.,Institut d'Estudis Espacials de Catalunya, E-08034 Barcelona, Spain
| | - A Seifahrt
- Department of Astronomy and Astrophysics, University of Chicago, Chicago, IL 60637, USA
| | - I Ribas
- Institut de Ciències de l'Espai (Consejo Superior de Investigaciones Científicas), E-08193 Bellaterra, Barcelona, Spain.,Institut d'Estudis Espacials de Catalunya, E-08034 Barcelona, Spain
| | - A Reiners
- Institut für Astrophysik, Georg-August-Universität, D-37077 Göttingen, Germany
| | - J L Bean
- Department of Astronomy and Astrophysics, University of Chicago, Chicago, IL 60637, USA
| | - R Luque
- Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain.,Departamento de Astrofísica, Universidad de La Laguna, E-38206 La Laguna, Tenerife, Spain
| | - H Parviainen
- Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain.,Departamento de Astrofísica, Universidad de La Laguna, E-38206 La Laguna, Tenerife, Spain
| | - E Pallé
- Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain.,Departamento de Astrofísica, Universidad de La Laguna, E-38206 La Laguna, Tenerife, Spain
| | - S Stock
- Landessternwarte, Zentrum für Astronomie der Universität Heidelberg, D-69117 Heidelberg, Germany
| | - M Zechmeister
- Institut für Astrophysik, Georg-August-Universität, D-37077 Göttingen, Germany
| | - P J Amado
- Instituto de Astrofísica de Andalucía (Consejo Superior de Investigaciones Científicas), E-18008 Granada, Spain
| | - G Anglada-Escudé
- Institut de Ciències de l'Espai (Consejo Superior de Investigaciones Científicas), E-08193 Bellaterra, Barcelona, Spain.,Institut d'Estudis Espacials de Catalunya, E-08034 Barcelona, Spain
| | - M Azzaro
- Centro Astronómico Hispano-Alemán, Observatorio de Calar Alto, E-04550 Gérgal, Almería, Spain
| | - T Barclay
- NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA.,University of Maryland, Baltimore County, Baltimore, MD 21250, USA
| | - V J S Béjar
- Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain.,Departamento de Astrofísica, Universidad de La Laguna, E-38206 La Laguna, Tenerife, Spain
| | - P Bluhm
- Landessternwarte, Zentrum für Astronomie der Universität Heidelberg, D-69117 Heidelberg, Germany
| | - N Casasayas-Barris
- Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain.,Departamento de Astrofísica, Universidad de La Laguna, E-38206 La Laguna, Tenerife, Spain
| | - C Cifuentes
- Centro de Astrobiología (Consejo Superior de Investigaciones Científicas - Instituto Nacional de Técnica Aeroespacial), E-28692 Villanueva de la Cañada, Madrid, Spain
| | - K A Collins
- Center for Astrophysics, Harvard & Smithsonian, Cambridge, MA 02138, USA
| | - K I Collins
- Department of Physics and Astronomy, George Mason University, Fairfax, VA 22030, USA
| | - M Cortés-Contreras
- Centro de Astrobiología (Consejo Superior de Investigaciones Científicas - Instituto Nacional de Técnica Aeroespacial), E-28692 Villanueva de la Cañada, Madrid, Spain
| | - J de Leon
- Department of Astronomy, Graduate School of Science, University of Tokyo, Tokyo 113-0033, Japan
| | - S Dreizler
- Institut für Astrophysik, Georg-August-Universität, D-37077 Göttingen, Germany
| | - C D Dressing
- Astronomy Department, University of California at Berkeley, Berkeley, CA 94720, USA
| | - E Esparza-Borges
- Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain.,Departamento de Astrofísica, Universidad de La Laguna, E-38206 La Laguna, Tenerife, Spain
| | - N Espinoza
- Space Telescope Science Institute, Baltimore, MD 21218, USA
| | - M Fausnaugh
- Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - A Fukui
- Department of Earth and Planetary Science, Graduate School of Science, University of Tokyo, Tokyo 113-0033, Japan.,Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain
| | - A P Hatzes
- Thüringer Landessternwarte Tautenburg, D-07778 Tautenburg, Germany
| | - C Hellier
- Astrophysics Group, Keele University, Staffordshire ST5 5BG, UK
| | - Th Henning
- Max-Planck-Institut für Astronomie, D-69117 Heidelberg, Germany
| | - C E Henze
- NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - E Herrero
- Institut de Ciències de l'Espai (Consejo Superior de Investigaciones Científicas), E-08193 Bellaterra, Barcelona, Spain.,Institut d'Estudis Espacials de Catalunya, E-08034 Barcelona, Spain
| | - S V Jeffers
- Institut für Astrophysik, Georg-August-Universität, D-37077 Göttingen, Germany.,Max-Planck-Institut für Sonnensystemforschung, D-37077, Göttingen, Germany
| | - J M Jenkins
- NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - E L N Jensen
- Department of Physics and Astronomy, Swarthmore College, Swarthmore, PA 19081, USA
| | - A Kaminski
- Landessternwarte, Zentrum für Astronomie der Universität Heidelberg, D-69117 Heidelberg, Germany
| | - D Kasper
- Department of Astronomy and Astrophysics, University of Chicago, Chicago, IL 60637, USA
| | - D Kossakowski
- Max-Planck-Institut für Astronomie, D-69117 Heidelberg, Germany
| | - M Kürster
- Max-Planck-Institut für Astronomie, D-69117 Heidelberg, Germany
| | - M Lafarga
- Institut de Ciències de l'Espai (Consejo Superior de Investigaciones Científicas), E-08193 Bellaterra, Barcelona, Spain.,Institut d'Estudis Espacials de Catalunya, E-08034 Barcelona, Spain
| | - D W Latham
- Center for Astrophysics, Harvard & Smithsonian, Cambridge, MA 02138, USA
| | - A W Mann
- Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - K Molaverdikhani
- Landessternwarte, Zentrum für Astronomie der Universität Heidelberg, D-69117 Heidelberg, Germany
| | - D Montes
- Departamento de Física de la Tierra y Astrofísica and Instituto de Física de Partículas y del Cosmos, Facultad de Ciencias Físicas, Universidad Complutense de Madrid, E-28040 Madrid, Spain
| | - B T Montet
- School of Physics, University of New South Wales, Sydney NSW 2052, Australia
| | - F Murgas
- Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain.,Departamento de Astrofísica, Universidad de La Laguna, E-38206 La Laguna, Tenerife, Spain
| | - N Narita
- Komaba Institute for Science, University of Tokyo, Tokyo 153-8902, Japan.,Japan Science and Technology Agency, Precursory Research for Embryonic Science and Technology, Tokyo 153-8902, Japan.,Astrobiology Center, Tokyo 181-8588, Japan.,Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain
| | - M Oshagh
- Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain.,Departamento de Astrofísica, Universidad de La Laguna, E-38206 La Laguna, Tenerife, Spain
| | - V M Passegger
- Hamburger Sternwarte, Universität Hamburg, D-21029 Hamburg, Germany.,Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK 73019, USA
| | - D Pollacco
- Department of Physics, University of Warwick, Coventry CV4 7AL, UK
| | - S N Quinn
- Center for Astrophysics, Harvard & Smithsonian, Cambridge, MA 02138, USA
| | - A Quirrenbach
- Landessternwarte, Zentrum für Astronomie der Universität Heidelberg, D-69117 Heidelberg, Germany
| | - G R Ricker
- Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - C Rodríguez López
- Instituto de Astrofísica de Andalucía (Consejo Superior de Investigaciones Científicas), E-18008 Granada, Spain
| | - J Sanz-Forcada
- Centro de Astrobiología (Consejo Superior de Investigaciones Científicas - Instituto Nacional de Técnica Aeroespacial), E-28692 Villanueva de la Cañada, Madrid, Spain
| | - R P Schwarz
- Patashnick Voorheesville Observatory, Voorheesville, NY 12186, USA
| | - A Schweitzer
- Hamburger Sternwarte, Universität Hamburg, D-21029 Hamburg, Germany
| | - S Seager
- Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - A Shporer
- Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - M Stangret
- Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain.,Departamento de Astrofísica, Universidad de La Laguna, E-38206 La Laguna, Tenerife, Spain
| | - J Stürmer
- Landessternwarte, Zentrum für Astronomie der Universität Heidelberg, D-69117 Heidelberg, Germany
| | - T G Tan
- Perth Exoplanet Survey Telescope, Perth WA 6010, Australia
| | - P Tenenbaum
- Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - J D Twicken
- Search for Extraterrestrial Intelligence Institute, Mountain View, CA 94043, USA.,NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - R Vanderspek
- Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - J N Winn
- Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA
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13
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Prieto-Alhambra D, Kostka K, Duarte-Salles T, Prats-Uribe A, Sena A, Pistillo A, Khalid S, Lai L, Golozar A, Alshammari TM, Dawoud D, Nyberg F, Wilcox A, Andryc A, Williams A, Ostropolets A, Areia C, Jung CY, Harle C, Reich C, Blacketer C, Morales D, Dorr DA, Burn E, Roel E, Tan EH, Minty E, DeFalco F, de Maeztu G, Lipori G, Alghoul H, Zhu H, Thomas J, Bian J, Park J, Roldán JM, Posada J, Banda JM, Horcajada JP, Kohler J, Shah K, Natarajan K, Lynch K, Liu L, Schilling L, Recalde M, Spotnitz M, Gong M, Matheny M, Valveny N, Weiskopf N, Shah N, Alser O, Casajust P, Park RW, Schuff R, Seager S, DuVall S, You SC, Song S, Fernández-Bertolín S, Fortin S, Magoc T, Falconer T, Subbian V, Huser V, Ahmed WUR, Carter W, Guan Y, Galvan Y, He X, Rijnbeek P, Hripcsak G, Ryan P, Suchard M. Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS. Res Sq 2021:rs.3.rs-279400. [PMID: 33688639 PMCID: PMC7941629 DOI: 10.21203/rs.3.rs-279400/v1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Background: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response [1,2]. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) [3] Characterizing Health Associated Risks, and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD. Methods: We conducted a descriptive cohort study using a federated network of data partners in the United States, Europe (the Netherlands, Spain, the UK, Germany, France and Italy) and Asia (South Korea and China). The study protocol and analytical package were released on 11 th June 2020 and are iteratively updated via GitHub [4]. Findings: We identified three non-mutually exclusive cohorts of 4,537,153 individuals with a clinical COVID-19 diagnosis or positive test, 886,193 hospitalized with COVID-19 , and 113,627 hospitalized with COVID-19 requiring intensive services . All comorbidities, symptoms, medications, and outcomes are described by cohort in aggregate counts, and are available in an interactive website: https://data.ohdsi.org/Covid19CharacterizationCharybdis/. Interpretation: CHARYBDIS findings provide benchmarks that contribute to our understanding of COVID-19 progression, management and evolution over time. This can enable timely assessment of real-world outcomes of preventative and therapeutic options as they are introduced in clinical practice.
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Affiliation(s)
- Daniel Prieto-Alhambra
- Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS), University of Oxford, UK
| | | | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | | | - Anthony Sena
- Janssen R&D, Titusville NJ, USA, 2) Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Andrea Pistillo
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Sara Khalid
- Centre for Statistics in Medicine, NDORMS, University of Oxford, UK
| | - Lana Lai
- Division of Cancer Sciences, School of Medical Sciences, University of Manchester, UK
| | - Asieh Golozar
- Regeneron Pharmaceuticals, NY USA, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, MD USA
| | - Thamir M Alshammari
- Medication Safety Research Chair, King Saud University, Riyadh, Saudi Arabia
| | - Dalia Dawoud
- National Institute for Health and Care Excellence, London, UK
| | - Fredrik Nyberg
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Adam Wilcox
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA, 2) UW Medicine, Seattle, WA, USA
| | | | - Andrew Williams
- Tufts Institute for Clinical Research and Health Policy Studies, US
| | - Anna Ostropolets
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Carlos Areia
- Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Chi Young Jung
- Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Daegu Catholic University Medical Center, Daegu, Korea
| | | | | | - Clair Blacketer
- Janssen R&D, Titusville NJ, USA, 2) Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Daniel Morales
- Division of Population Health and Genomics, University of Dundee, UK
| | - David A Dorr
- Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
| | - Edward Burn
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | | | - Eng Hooi Tan
- Centre for Statistics in Medicine, NDORMS, University of Oxford, UK
| | - Evan Minty
- O'Brien Institute for Public Health, Faculty of Medicine, University of Calgary, Canada
| | | | | | | | - Heba Alghoul
- Faculty of Medicine, Islamic University of Gaza, Palestine
| | - Hong Zhu
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jason Thomas
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
| | | | - Jimyung Park
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea
| | - Jordi Martínez Roldán
- Director of Innovation and Digital Transformation, Hospital del Mar, Barcelona, Spain
| | - Jose Posada
- Stanford University School of Medicine, Stanford, California, USA
| | - Juan M Banda
- Georgia State University, Department of Computer Science, Atlanta, GA, USA
| | - Juan P Horcajada
- Department of Infectious Diseases, Hospital del Mar, Institut Hospital del Mar d'Investigació Mèdica (IMIM), Universitat Autònoma de Barcelona. Universitat Pompeu Fabra, Barcelo
| | - Julianna Kohler
- United States Agency for International Development, Washington, DC, USA
| | - Karishma Shah
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, USA, 2) New York-Presbyterian Hospital, 622 W 168 St, PH20 New York, NY 10032 USA
| | - Kristine Lynch
- VINCI, VA Salt Lake City Health Care System, Salt Lake City, VA, & Division of Epidemiology, University of Utah, Salt Lake City, UT
| | - Li Liu
- Biomedical Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lisa Schilling
- Data Science to Patient Value Program, University of Colorado Anschutz Medical Campus
| | - Martina Recalde
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Matthew Spotnitz
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, USA
| | | | - Michael Matheny
- VINCI, Tennessee Valley Healthcare System VA, Nashville, TN & Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | | | - Nicole Weiskopf
- Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA
| | | | - Osaid Alser
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Rae Woong Park
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea
| | - Robert Schuff
- Knight Cancer Institute, Oregon Health & Science University
| | | | - Scott DuVall
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
| | - Seng Chan You
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea
| | - Seokyoung Song
- Department of Anesthesiology and Pain Medicine, Catholic University of Daegu, School of Medicine, Daegu, Korea
| | - Sergio Fernández-Bertolín
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Stephen Fortin
- Observational Health Data Analytics, Janssen Research and Development, Raritan, NJ, USA
| | | | - Thomas Falconer
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Vignesh Subbian
- College of Engineering, The University of Arizona, Tucson, Arizona, USA
| | - Vojtech Huser
- National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Waheed-Ul-Rahman Ahmed
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK, 2) College of Medicine and Health, University of Exeter, St Luke's Campus, E
| | - William Carter
- Data Science to Patient Value Program, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Yin Guan
- DHC Technologies Co. Ltd, Beijing, China
| | | | - Xing He
- University of Florida Health
| | - Peter Rijnbeek
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, USA, 2) New York-Presbyterian Hospital, 622 W 168 St, PH20 New York, NY 10032 USA
| | | | - Marc Suchard
- Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles
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14
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Liu J, Li J, Zeng S, Cai G, Wang Y, Chi J, Li R, Yu Y, Jiao X, Dai Y, Feng Y, Van Zandt M, Seager S, Reich C, Gao Q. Evolution of treatments for endometrial cancers: Clinical data from two national medical databases. Gynecol Oncol 2020. [DOI: 10.1016/j.ygyno.2020.05.619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Lane JCE, Weaver J, Kostka K, Duarte-Salles T, Abrahao MTF, Alghoul H, Alser O, Alshammari TM, Biedermann P, Banda JM, Burn E, Casajust P, Conover MM, Culhane AC, Davydov A, DuVall SL, Dymshyts D, Fernandez-Bertolin S, Fišter K, Hardin J, Hester L, Hripcsak G, Kaas-Hansen BS, Kent S, Khosla S, Kolovos S, Lambert CG, van der Lei J, Lynch KE, Makadia R, Margulis AV, Matheny ME, Mehta P, Morales DR, Morgan-Stewart H, Mosseveld M, Newby D, Nyberg F, Ostropolets A, Park RW, Prats-Uribe A, Rao GA, Reich C, Reps J, Rijnbeek P, Sathappan SMK, Schuemie M, Seager S, Sena AG, Shoaibi A, Spotnitz M, Suchard MA, Torre CO, Vizcaya D, Wen H, de Wilde M, Xie J, You SC, Zhang L, Zhuk O, Ryan P, Prieto-Alhambra D. Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study. Lancet Rheumatol 2020; 2:e698-e711. [PMID: 32864627 PMCID: PMC7442425 DOI: 10.1016/s2665-9913(20)30276-9] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background Hydroxychloroquine, a drug commonly used in the treatment of rheumatoid arthritis, has received much negative publicity for adverse events associated with its authorisation for emergency use to treat patients with COVID-19 pneumonia. We studied the safety of hydroxychloroquine, alone and in combination with azithromycin, to determine the risk associated with its use in routine care in patients with rheumatoid arthritis. Methods In this multinational, retrospective study, new user cohort studies in patients with rheumatoid arthritis aged 18 years or older and initiating hydroxychloroquine were compared with those initiating sulfasalazine and followed up over 30 days, with 16 severe adverse events studied. Self-controlled case series were done to further establish safety in wider populations, and included all users of hydroxychloroquine regardless of rheumatoid arthritis status or indication. Separately, severe adverse events associated with hydroxychloroquine plus azithromycin (compared with hydroxychloroquine plus amoxicillin) were studied. Data comprised 14 sources of claims data or electronic medical records from Germany, Japan, the Netherlands, Spain, the UK, and the USA. Propensity score stratification and calibration using negative control outcomes were used to address confounding. Cox models were fitted to estimate calibrated hazard ratios (HRs) according to drug use. Estimates were pooled where the I 2 value was less than 0·4. Findings The study included 956 374 users of hydroxychloroquine, 310 350 users of sulfasalazine, 323 122 users of hydroxychloroquine plus azithromycin, and 351 956 users of hydroxychloroquine plus amoxicillin. No excess risk of severe adverse events was identified when 30-day hydroxychloroquine and sulfasalazine use were compared. Self-controlled case series confirmed these findings. However, long-term use of hydroxychloroquine appeared to be associated with increased cardiovascular mortality (calibrated HR 1·65 [95% CI 1·12-2·44]). Addition of azithromycin appeared to be associated with an increased risk of 30-day cardiovascular mortality (calibrated HR 2·19 [95% CI 1·22-3·95]), chest pain or angina (1·15 [1·05-1·26]), and heart failure (1·22 [1·02-1·45]). Interpretation Hydroxychloroquine treatment appears to have no increased risk in the short term among patients with rheumatoid arthritis, but in the long term it appears to be associated with excess cardiovascular mortality. The addition of azithromycin increases the risk of heart failure and cardiovascular mortality even in the short term. We call for careful consideration of the benefit-risk trade-off when counselling those on hydroxychloroquine treatment. Funding National Institute for Health Research (NIHR) Oxford Biomedical Research Centre, NIHR Senior Research Fellowship programme, US National Institutes of Health, US Department of Veterans Affairs, Janssen Research and Development, IQVIA, Korea Health Industry Development Institute through the Ministry of Health and Welfare Republic of Korea, Versus Arthritis, UK Medical Research Council Doctoral Training Partnership, Foundation Alfonso Martin Escudero, Innovation Fund Denmark, Novo Nordisk Foundation, Singapore Ministry of Health's National Medical Research Council Open Fund Large Collaborative Grant, VINCI, Innovative Medicines Initiative 2 Joint Undertaking, EU's Horizon 2020 research and innovation programme, and European Federation of Pharmaceutical Industries and Associations.
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Affiliation(s)
- Jennifer C E Lane
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - James Weaver
- Janssen Research and Development, Titusville, NJ, USA
| | | | - Talita Duarte-Salles
- Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | | | - Heba Alghoul
- Faculty of Medicine, Islamic University of Gaza, Palestine
| | - Osaid Alser
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Thamir M Alshammari
- Medication Safety Research Chair, King Saud University, Riyadh, Saudi Arabia
| | | | - Juan M Banda
- Department of Computer Science, Georgia State University, Atlanta, GA, USA
| | - Edward Burn
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.,Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Paula Casajust
- Real-World Evidence, Trial Form Support, Barcelona, Spain
| | | | - Aedin C Culhane
- Department of Data Sciences, Dana-Farber Cancer Institute, Department of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Alexander Davydov
- Medical Ontology Solutions, Odysseus Data Services, Cambridge MA, USA
| | - Scott L DuVall
- Western Institute for Biomedical Research, Department of Veterans Affairs, Salt Lake City, UT, USA.,Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Dmitry Dymshyts
- Medical Ontology Solutions, Odysseus Data Services, Cambridge MA, USA
| | - Sergio Fernandez-Bertolin
- Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Kristina Fišter
- School of Medicine, Andrija Štampar School of Public Health, University of Zagreb, Zagreb, Croatia
| | - Jill Hardin
- Janssen Research and Development, Titusville, NJ, USA
| | - Laura Hester
- Janssen Research and Development, Titusville, NJ, USA
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.,New York-Presbyterian Hospital, New York, NY, USA
| | - Benjamin Skov Kaas-Hansen
- Clinical Pharmacology Unit, Zealand University Hospital, Roskilde, Denmark.,NNF Centre for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Seamus Kent
- National Institute for Health and Care Excellence, London, UK
| | - Sajan Khosla
- Real World Science and Digital, AstraZeneca, Cambridge, UK
| | - Spyros Kolovos
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Christophe G Lambert
- Department of Internal Medicine, Center for Global Health and Division of Translational Informatics, Albuquerque, NM, USA
| | - Johan van der Lei
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Kristine E Lynch
- Western Institute for Biomedical Research, Department of Veterans Affairs, Salt Lake City, UT, USA.,Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Rupa Makadia
- Janssen Research and Development, Titusville, NJ, USA
| | | | - Michael E Matheny
- Geriatrics Research Education and Clinical Care Center, Tennessee Valley Healthcare System VA, Nashville, TN, USA.,Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Paras Mehta
- College of Medicine, University of Arizona, Tucson, AZ, USA
| | - Daniel R Morales
- Division of Population Health and Genomics, University of Dundee, UK
| | | | - Mees Mosseveld
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Danielle Newby
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Fredrik Nyberg
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anna Ostropolets
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Rae Woong Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon-si Gyeonggi-do, South Korea
| | - Albert Prats-Uribe
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Gowtham A Rao
- Janssen Research and Development, Titusville, NJ, USA
| | | | - Jenna Reps
- Janssen Research and Development, Titusville, NJ, USA
| | - Peter Rijnbeek
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
| | | | | | | | - Anthony G Sena
- Janssen Research and Development, Titusville, NJ, USA.,Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Azza Shoaibi
- Janssen Research and Development, Titusville, NJ, USA
| | - Matthew Spotnitz
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Marc A Suchard
- Department of Biomathematics and Department of Human Genetics, David Geffen School of Medicine at UCLA, and Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | | | | | - Haini Wen
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Marcel de Wilde
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Junqing Xie
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Seng Chan You
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon-si Gyeonggi-do, South Korea
| | - Lin Zhang
- School of Population Medicine and Public Health, Peking Union Medical College/Chinese Academy of Medical Sciences, Beijing, China.,Melbourne School of Population and Global Health, University of Melbourne, VIC, Australia
| | - Oleg Zhuk
- Medical Ontology Solutions, Odysseus Data Services, Cambridge MA, USA
| | - Patrick Ryan
- Janssen Research and Development, Titusville, NJ, USA.,Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Daniel Prieto-Alhambra
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.,Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
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Seager S, Bains W, Petkowski JJ. Toward a List of Molecules as Potential Biosignature Gases for the Search for Life on Exoplanets and Applications to Terrestrial Biochemistry. Astrobiology 2016; 16:465-485. [PMID: 27096351 DOI: 10.1089/ast.2015.1404] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
UNLABELLED Thousands of exoplanets are known to orbit nearby stars. Plans for the next generation of space-based and ground-based telescopes are fueling the anticipation that a precious few habitable planets can be identified in the coming decade. Even more highly anticipated is the chance to find signs of life on these habitable planets by way of biosignature gases. But which gases should we search for? Although a few biosignature gases are prominent in Earth's atmospheric spectrum (O2, CH4, N2O), others have been considered as being produced at or able to accumulate to higher levels on exo-Earths (e.g., dimethyl sulfide and CH3Cl). Life on Earth produces thousands of different gases (although most in very small quantities). Some might be produced and/or accumulate in an exo-Earth atmosphere to high levels, depending on the exo-Earth ecology and surface and atmospheric chemistry. To maximize our chances of recognizing biosignature gases, we promote the concept that all stable and potentially volatile molecules should initially be considered as viable biosignature gases. We present a new approach to the subject of biosignature gases by systematically constructing lists of volatile molecules in different categories. An exhaustive list up to six non-H atoms is presented, totaling about 14,000 molecules. About 2500 of these are CNOPSH compounds. An approach for extending the list to larger molecules is described. We further show that about one-fourth of CNOPSH molecules (again, up to N = 6 non-H atoms) are known to be produced by life on Earth. The list can be used to study classes of chemicals that might be potential biosignature gases, considering their accumulation and possible false positives on exoplanets with atmospheres and surface environments different from Earth's. The list can also be used for terrestrial biochemistry applications, some examples of which are provided. We provide an online community usage database to serve as a registry for volatile molecules including biogenic compounds. KEY WORDS Astrobiology-Atmospheric gases-Biosignatures-Exoplanets. Astrobiology 16, 465-485.
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Affiliation(s)
- S Seager
- 1 Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology , Cambridge, Massachusetts
- 2 Department of Physics, Massachusetts Institute of Technology , Cambridge, Massachusetts
| | - W Bains
- 1 Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology , Cambridge, Massachusetts
- 3 Rufus Scientific , Cambridge, UK
| | - J J Petkowski
- 1 Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology , Cambridge, Massachusetts
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Abstract
Earth's deciduous plants have a sharp order-of-magnitude increase in leaf reflectance between approximately 700 and 750 nm wavelength. This strong reflectance of Earth's vegetation suggests that surface biosignatures with sharp spectral features might be detectable in the spectrum of scattered light from a spatially unresolved extrasolar terrestrial planet. We assess the potential of Earth's step-function-like spectroscopic feature, referred to as the "red edge," as a tool for astrobiology. We review the basic characteristics and physical origin of the red edge and summarize its use in astronomy: early spectroscopic efforts to search for vegetation on Mars and recent reports of detection of the red edge in the spectrum of Earthshine (i.e., the spatially integrated scattered light spectrum of Earth). We present Earthshine observations from Apache Point Observatory (New Mexico) to emphasize that time variability is key to detecting weak surface biosignatures such as the vegetation red edge. We briefly discuss the evolutionary advantages of vegetation's red edge reflectance, and speculate that while extraterrestrial "light-harvesting organisms" have no compelling reason to display the exact same red edge feature as terrestrial vegetation, they might have similar spectroscopic features at different wavelengths than terrestrial vegetation. This implies that future terrestrial-planet-characterizing space missions should obtain data that allow time-varying, sharp spectral features at unknown wavelengths to be identified. We caution that some mineral reflectance edges are similar in slope and strength to vegetation's red edge (albeit at different wavelengths); if an extrasolar planet reflectance edge is detected care must be taken with its interpretation.
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Affiliation(s)
- S Seager
- Department of Terrestrial Magnetism, Carnegie Institution of Washington, Washington, DC 20015, USA.
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20
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Abstract
The detection of massive planets orbiting nearby stars has become almost routine, but current techniques are as yet unable to detect terrestrial planets with masses comparable to the Earth's. Future space-based observatories to detect Earth-like planets are being planned. Terrestrial planets orbiting in the habitable zones of stars-where planetary surface conditions are compatible with the presence of liquid water-are of enormous interest because they might have global environments similar to Earth's and even harbour life. The light scattered by such a planet will vary in intensity and colour as the planet rotates; the resulting light curve will contain information about the planet's surface and atmospheric properties. Here we report a model that predicts features that should be discernible in the light curve obtained by low-precision photometry. For extrasolar planets similar to Earth, we expect daily flux variations of up to hundreds of per cent, depending sensitively on ice and cloud cover as well as seasonal variations. This suggests that the meteorological variability, composition of the surface (for example, ocean versus land fraction) and rotation period of an Earth-like planet could be derived from photometric observations. Even signatures of Earth-like plant life could be constrained or possibly, with further study, even uniquely determined.
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Affiliation(s)
- E B Ford
- Princeton University Observatory, Peyton Hall, Princeton, New Jersey 08540, USA.
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Brand GS, Munoz GM, Nichols MG, Okata MU, Pitt JB, Seager S. The two faces of gag provisions: patients and physicians in a bind. Yale Law Policy Rev 1998; 17:249-80. [PMID: 16437824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
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Seager S, Barker B. Hospital and its freestanding emergency facilities from network. Hospitals 1981; 55:79-81. [PMID: 7216198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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Abstract
A technique for subcutaneous transposition of the spleen in the rat is described. The preparation has been developed as a reliable means of transplenic portal injection. It has been shown that different substances injected into the pulp of the transposed spleen are cleared and not pooled in the organ. The development of porta-systemic venous communications has been demonstrated and their detection radiologically and by isotope techniques is illustrated. It is suggested that the technique outlined in this communication may be of value in the study of the portal circulation, the function of the liver, and in the investigation of drug action.If adequate porta-systemic venous connexions are present the portal vein can be tied above its splenic tributary and the animal will survive. The method offers a simple means of porta-systemic diversion in the rat.
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