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Madigan MC, Farber A, Rybin DV, Doros G, Robinson WP, Siracuse JJ, Eldrup-Jorgensen J, Eslami MH. Younger patients have worse outcomes after peripheral endovascular interventions for suprainguinal arterial occlusive disease. J Vasc Surg 2020; 73:1715-1722. [PMID: 32987148 DOI: 10.1016/j.jvs.2020.08.139] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 08/17/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE The choice of intervention for treating suprainguinal arterial disease, open bypass vs endovascular intervention, is often tempered by patient age and comorbidities. In the present study, we compared the association of patient age with 1-year major adverse limb events (MALE)-free survival and reintervention-free survival (RFS) rates among patients undergoing intervention for suprainguinal arterial disease. METHODS The Vascular Quality Initiative datasets for bypass and peripheral endovascular intervention (PVI; aorta and iliac only) were queried from 2010 to 2017. The patients were divided into two age groups: <60 and ≥60 years at the procedure. Age-stratified propensity matching of patients in bypass and endovascular procedure groups by demographic characteristics, comorbidities, and disease severity was used to identify the analysis samples. The 1-year MALE-free survival and RFS rates were compared using the log-rank test and Kaplan-Meier plots. Proportional hazard Cox regression was used to perform propensity score-adjusted comparisons of MALE-free survival and RFS. RESULTS A total of 14,301 cases from the Vascular Quality Initiative datasets were included in the present study. Propensity matching led to 3062 cases in the ≥60-year group (1021 bypass; 2041 PVI) and 2548 cases in the <60-year group (1697 bypass; 851 PVI). In the crude comparison of the matched samples, the older patients undergoing bypass had had significantly greater in-hospital (4.6% vs 0.9%; P < .001) and 1-year (10.5% vs 7.5%; P = .005) mortality compared with those who had undergone endovascular intervention. The rates of MALE (7.5% vs 14.3%; P < .001) and reintervention (6.7% vs 12.7%; P < .001) or death were significantly higher for the younger group undergoing PVI than bypass at 1 year. However, the rates of MALE (12.9% vs 14.3%; P = .298) and reintervention (12.7% vs 12.9%; P = .881) or death for were similar both procedures for the older group. Both log-rank analyses and the adjusted propensity score analyses of MALE-free survival and RFS in the two age groups confirmed these findings. The adjusted comparison of outcomes using propensity score matching favored PVI at 1-year survival (hazard ratio, 1.4; 95% confidence interval, 1.1-1.9; P = .003) for the older group but was not different for the younger group (hazard ratio, 0.6; 95% confidence interval, 0.3-1.0; P = .054). CONCLUSIONS Among the patients aged <60 years undergoing intervention for suprainguinal arterial disease, the choice of therapy should be open surgical intervention given the higher risk of reintervention and MALE with endovascular intervention. Endovascular intervention should be favored for patients aged ≥60 years because of reduced perioperative mortality.
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Affiliation(s)
- Michael C Madigan
- Division of Vascular Surgery, Heart and Vascular Institute, University of Pittsburgh Medical School, Pittsburgh, Pa
| | - Alik Farber
- Division of Vascular and Endovascular Surgery, Boston University School of Medicine, Boston, Mass
| | - Denis V Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, Mass
| | - Gheorhge Doros
- Department of Biostatistics, Boston University School of Public Health, Boston, Mass
| | - William P Robinson
- Division of Vascular Surgery, East Carolina University Brody School of Medicine, Greenville, NC
| | - Jeffrey J Siracuse
- Division of Vascular and Endovascular Surgery, Boston University School of Medicine, Boston, Mass
| | | | - Mohammad H Eslami
- Division of Vascular Surgery, Heart and Vascular Institute, University of Pittsburgh Medical School, Pittsburgh, Pa.
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Jones DW, Deery SE, Schneider DB, Rybin DV, Siracuse JJ, Farber A, Schermerhorn ML. Differences in patient selection and outcomes based on abdominal aortic aneurysm diameter thresholds in the Vascular Quality Initiative. J Vasc Surg 2019; 70:1446-1455. [DOI: 10.1016/j.jvs.2019.02.053] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 02/20/2019] [Indexed: 11/25/2022]
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Saadeddin ZM, Rybin DV, Doros G, Siracuse JJ, Farber A, Eslami MH. Comparison of Early and Late Post-operative Outcomes after Supra-inguinal Bypass for Aortoiliac Occlusive Disease. Eur J Vasc Endovasc Surg 2019; 58:529-537. [DOI: 10.1016/j.ejvs.2019.02.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 02/12/2019] [Indexed: 10/26/2022]
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Eslami MH, Saadeddin ZM, Rybin DV, Avgerinos ED, Eslami PW, Siracuse JJ, Farber A. Trends and Outcomes of Pediatric Vascular Injuries in the United States: An Analysis of the National Trauma Data Bank. Ann Vasc Surg 2019; 56:52-61. [DOI: 10.1016/j.avsg.2018.09.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 07/28/2018] [Accepted: 09/01/2018] [Indexed: 12/18/2022]
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Eslami MH, Saadeddin Z, Rybin DV, Doros G, Siracuse JJ, Farber A. Association of frailty index with perioperative mortality and in-hospital morbidity after elective lower extremity bypass. J Vasc Surg 2019; 69:863-874.e1. [DOI: 10.1016/j.jvs.2018.07.050] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 07/21/2018] [Indexed: 12/20/2022]
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Eslami MH, Robinson WP, Rybin DV, Doros G, Siracuse JJ, Eldrup-Jorgensen J, Farber A. NESVS24. Younger Patients Have Worse Outcomes After Peripheral Vascular Interventions for Aortoiliac Occlusive Disease. J Vasc Surg 2018. [DOI: 10.1016/j.jvs.2018.06.128] [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: 10/28/2022]
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Raulli SJ, Cheng TW, Farber A, Eslami MH, Kalish JA, Jones DW, Rybin DV, Nuhn M, Gautam A, Siracuse JJ. Intraoperative Heparin Use during Upper Extremity Arteriovenous Access Creation Does Not Affect Outcomes. Ann Vasc Surg 2018; 55:216-221. [PMID: 30217706 DOI: 10.1016/j.avsg.2018.06.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 06/25/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND There are conflicting data about the effect of heparin use on perioperative outcomes during upper extremity arteriovenous (AV) access creation. Our goal was to assess the effect of the use and degree of intraoperative heparin on perioperative outcomes after AV access creation. METHODS All upper extremity AV access cases performed at a tertiary academic medical center between 2014 and 2017 were reviewed. Patient and procedural details including intraoperative heparin use and dosing as well as protamine use were analyzed. Full heparin dose was defined as 80-100 U/kg and partial heparin dose as less than 80 U/kg. Perioperative arterial thrombosis or distal embolism, hematoma, and early loss of primary patency within 30 days were evaluated. Multivariate analysis was performed to assess the effect of heparin use. RESULTS There were 550 AV access cases identified: brachiocephalic (37.5%), brachiobasilic (29.3%), and radiocephalic fistulas (12.9%), and AV grafts (16.9%). Average patient age was 62.6 years and 58.9% were male. Full heparinization was used in 21.3%, partial heparinization in 58.7%, and no heparin was used in 20% of cases. Protamine was used in 94.9% of full heparin cases and 51.4% of partial heparin cases. No perioperative arterial thrombosis or distal embolism was observed. Perioperative wound hematoma rate was 3.4%, 3.1%, and 0.9% in full heparin, partial heparin, and no heparin cohorts, respectively (P = 0.42). Early loss of primary patency was 11.1%, 7.7%, and 6.4% for full heparin, partial heparin, and no heparin cases, respectively (P = 0.39). There were no differences in return to the operating room or perioperative survival. On multivariable analysis, full heparin use (odds ratio [OR] 3.82, 95% confidence interval [CI] 0.41-35.9, P = 0.24) and partial heparin (OR 4.03, 95% CI 0.5-32.6, P = 0.19) use were not significantly different from no heparin cases with respect to 30-day perioperative hematoma rate. Full heparin (OR 1.76, 95% CI 0.65-4.78, P = 0.26) and partial heparin (OR 1.13, 95% CI 0.46-2.75, P = 0.79) were not significantly different from no heparin cases with respect to early loss of primary patency. CONCLUSIONS Intraoperative heparin use, at full or partial doses, did not affect perioperative outcomes after AV access creation. Overall complication event rate was low for all groups. AV access can be safely performed without intraoperative heparin use.
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Affiliation(s)
- Stephen J Raulli
- Division of Vascular and Endovascular Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA
| | - Thomas W Cheng
- Division of Vascular and Endovascular Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA
| | - Alik Farber
- Division of Vascular and Endovascular Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA
| | - Mohammad H Eslami
- Division of Vascular Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Jeffrey A Kalish
- Division of Vascular and Endovascular Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA
| | - Douglas W Jones
- Division of Vascular and Endovascular Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA
| | - Denis V Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Matthew Nuhn
- Division of Transplant Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA
| | - Amitabh Gautam
- Division of Transplant Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA
| | - Jeffrey J Siracuse
- Division of Vascular and Endovascular Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA.
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Inagaki E, Farber A, Siracuse JJ, Mell MW, Rybin DV, Doros G, Kalish J. Routine Use of Ultrasound Guidance in Femoral Arterial Access for Peripheral Vascular Intervention Decreases Groin Hematoma Rates in High-Volume Surgeons. Ann Vasc Surg 2018; 51:1-7. [DOI: 10.1016/j.avsg.2018.02.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 02/19/2018] [Accepted: 02/19/2018] [Indexed: 11/17/2022]
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Inagaki E, Farber A, Kalish JA, Eslami MH, Siracuse JJ, Eberhardt RT, Rybin DV, Doros G, Hamburg NM. Outcomes of Peripheral Vascular Interventions in Select Patients With Lower Extremity Acute Limb Ischemia. J Am Heart Assoc 2018; 7:JAHA.116.004782. [PMID: 29650705 PMCID: PMC6015405 DOI: 10.1161/jaha.116.004782] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background Contemporary data on patients presenting with acute limb ischemia (ALI), who are selected for treatment with endovascular peripheral vascular interventions (PVI), are limited. Our study examined outcomes following endovascular PVI in patients with ALI by comparing with patients treated for chronic critical limb ischemia using a regional quality improvement registry. Methods and Results Of the 11 035 patients in the Vascular Study Group of New England PVI database (2010–2014), we identified 365 patients treated for lower extremity ALI who were 5:1 frequency matched (by procedure year and arterial segments treated) to 1808 patients treated for critical limb ischemia. ALI patients treated with PVI had high burden of atherosclerotic risk factors and were more likely to have had prior ipsilateral revascularizations. ALI patients were less likely to be treated with self‐expanding stents and more likely to undergo thrombolysis than patients with critical limb ischemia. In multivariable analysis, ALI was associated with higher technical failure (odds ratio 1.7, 95% confidence interval, 1.1%–2.5%), increased rate of distal embolization (odds ratio 2.7, 95% confidence interval, 1.5%–4.9%), longer length of stay (means ratio 1.6, 95% confidence interval, 1.4%–1.8%), and higher in‐hospital mortality (odds ratio 2.8, 95% confidence interval, 1.3%–5.9%). ALI was not associated with risk of major amputation or mortality at 1 year. Conclusions In a multicenter cohort of patients treated with PVI, we found that ALI patients selected for treatment with endovascular techniques experienced greater short‐term adverse events but similar long‐term outcomes as their critical limb ischemia counterparts. Further studies are needed to refine the selection of ALI patients who are best served by PVI.
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Affiliation(s)
- Elica Inagaki
- Department of Surgery, Boston Medical Center, Boston, MA
| | - Alik Farber
- Division of Vascular and Endovascular Surgery, Department of Surgery, Boston Medical Center, Boston, MA
| | - Jeffrey A Kalish
- Division of Vascular and Endovascular Surgery, Department of Surgery, Boston Medical Center, Boston, MA
| | - Mohammad H Eslami
- Division of Vascular and Endovascular Surgery, Department of Surgery, Boston Medical Center, Boston, MA
| | - Jeffrey J Siracuse
- Division of Vascular and Endovascular Surgery, Department of Surgery, Boston Medical Center, Boston, MA
| | - Robert T Eberhardt
- Evans Department of Medicine and Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA
| | - Denis V Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Gheorghe Doros
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Naomi M Hamburg
- Evans Department of Medicine and Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA
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Mahajan A, Wessel J, Willems SM, Zhao W, Robertson NR, Chu AY, Gan W, Kitajima H, Taliun D, Rayner NW, Guo X, Lu Y, Li M, Jensen RA, Hu Y, Huo S, Lohman KK, Zhang W, Cook JP, Prins BP, Flannick J, Grarup N, Trubetskoy VV, Kravic J, Kim YJ, Rybin DV, Yaghootkar H, Müller-Nurasyid M, Meidtner K, Li-Gao R, Varga TV, Marten J, Li J, Smith AV, An P, Ligthart S, Gustafsson S, Malerba G, Demirkan A, Tajes JF, Steinthorsdottir V, Wuttke M, Lecoeur C, Preuss M, Bielak LF, Graff M, Highland HM, Justice AE, Liu DJ, Marouli E, Peloso GM, Warren HR, Afaq S, Afzal S, Ahlqvist E, Almgren P, Amin N, Bang LB, Bertoni AG, Bombieri C, Bork-Jensen J, Brandslund I, Brody JA, Burtt NP, Canouil M, Chen YDI, Cho YS, Christensen C, Eastwood SV, Eckardt KU, Fischer K, Gambaro G, Giedraitis V, Grove ML, de Haan HG, Hackinger S, Hai Y, Han S, Tybjærg-Hansen A, Hivert MF, Isomaa B, Jäger S, Jørgensen ME, Jørgensen T, Käräjämäki A, Kim BJ, Kim SS, Koistinen HA, Kovacs P, Kriebel J, Kronenberg F, Läll K, Lange LA, Lee JJ, Lehne B, Li H, Lin KH, Linneberg A, Liu CT, Liu J, Loh M, Mägi R, Mamakou V, McKean-Cowdin R, Nadkarni G, Neville M, Nielsen SF, Ntalla I, Peyser PA, Rathmann W, Rice K, Rich SS, Rode L, Rolandsson O, Schönherr S, Selvin E, Small KS, Stančáková A, Surendran P, Taylor KD, Teslovich TM, Thorand B, Thorleifsson G, Tin A, Tönjes A, Varbo A, Witte DR, Wood AR, Yajnik P, Yao J, Yengo L, Young R, Amouyel P, Boeing H, Boerwinkle E, Bottinger EP, Chowdhury R, Collins FS, Dedoussis G, Dehghan A, Deloukas P, Ferrario MM, Ferrières J, Florez JC, Frossard P, Gudnason V, Harris TB, Heckbert SR, Howson JMM, Ingelsson M, Kathiresan S, Kee F, Kuusisto J, Langenberg C, Launer LJ, Lindgren CM, Männistö S, Meitinger T, Melander O, Mohlke KL, Moitry M, Morris AD, Murray AD, de Mutsert R, Orho-Melander M, Owen KR, Perola M, Peters A, Province MA, Rasheed A, Ridker PM, Rivadineira F, Rosendaal FR, Rosengren AH, Salomaa V, Sheu WHH, Sladek R, Smith BH, Strauch K, Uitterlinden AG, Varma R, Willer CJ, Blüher M, Butterworth AS, Chambers JC, Chasman DI, Danesh J, van Duijn C, Dupuis J, Franco OH, Franks PW, Froguel P, Grallert H, Groop L, Han BG, Hansen T, Hattersley AT, Hayward C, Ingelsson E, Kardia SLR, Karpe F, Kooner JS, Köttgen A, Kuulasmaa K, Laakso M, Lin X, Lind L, Liu Y, Loos RJF, Marchini J, Metspalu A, Mook-Kanamori D, Nordestgaard BG, Palmer CNA, Pankow JS, Pedersen O, Psaty BM, Rauramaa R, Sattar N, Schulze MB, Soranzo N, Spector TD, Stefansson K, Stumvoll M, Thorsteinsdottir U, Tuomi T, Tuomilehto J, Wareham NJ, Wilson JG, Zeggini E, Scott RA, Barroso I, Frayling TM, Goodarzi MO, Meigs JB, Boehnke M, Saleheen D, Morris AP, Rotter JI, McCarthy MI. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat Genet 2018; 50:559-571. [PMID: 29632382 PMCID: PMC5898373 DOI: 10.1038/s41588-018-0084-1] [Citation(s) in RCA: 274] [Impact Index Per Article: 45.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Accepted: 01/30/2018] [Indexed: 12/22/2022]
Abstract
We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10-7); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent 'false leads' with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.
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Affiliation(s)
- Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
| | - Jennifer Wessel
- Departments of Epidemiology and Medicine, Diabetes Translational Research Center, Indiana University, Indianapolis, IN, USA
| | - Sara M Willems
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Wei Zhao
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Neil R Robertson
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Audrey Y Chu
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Wei Gan
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Hidetoshi Kitajima
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Daniel Taliun
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - N William Rayner
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Xiuqing Guo
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yingchang Lu
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Man Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Division of Nephrology and Hypertension, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Richard A Jensen
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA
| | - Yao Hu
- Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Shaofeng Huo
- Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Kurt K Lohman
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Middlesex, UK
| | - James P Cook
- Department of Biostatistics, University of Liverpool, Liverpool, UK
| | - Bram Peter Prins
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Jason Flannick
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Jasmina Kravic
- Department of Clinical Sciences, Diabetes, and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden
| | - Young Jin Kim
- Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Denis V Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Hanieh Yaghootkar
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Department of Medicine I, University Hospital Großhadern, Ludwig-Maximilians-Universität, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Karina Meidtner
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Tibor V Varga
- Department of Clinical Sciences, Lund University Diabetes Centre, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden
| | - Jonathan Marten
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Jin Li
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Albert Vernon Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Ping An
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA
| | - Symen Ligthart
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology, and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Giovanni Malerba
- Section of Biology and Genetics, Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Verona, Italy
| | - Ayse Demirkan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Juan Fernandez Tajes
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - Matthias Wuttke
- Institute of Genetic Epidemiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Cécile Lecoeur
- CNRS, UMR 8199, Lille University, Lille Pasteur Institute, Lille, France
| | - Michael Preuss
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Marielisa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Heather M Highland
- Human Genetics Center, University of Texas Graduate School of Biomedical Sciences at Houston, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Anne E Justice
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Dajiang J Liu
- Department of Public Health Sciences, Institute of Personalized Medicine, Penn State College of Medicine, Hershey, PA, USA
| | - Eirini Marouli
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Gina Marie Peloso
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Helen R Warren
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- National Institute for Health Research, Barts Cardiovascular Biomedical Research Unit, Queen Mary University of London, London, UK
| | - Saima Afaq
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Shoaib Afzal
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emma Ahlqvist
- Department of Clinical Sciences, Diabetes, and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden
| | - Peter Almgren
- Department of Clinical Sciences, Hypertension, and Cardiovascular Disease, Lund University, Malmö, Sweden
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Lia B Bang
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Alain G Bertoni
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Cristina Bombieri
- Section of Biology and Genetics, Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Verona, Italy
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ivan Brandslund
- Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
- Department of Clinical Biochemistry, Vejle Hospital, Vejle, Denmark
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA
| | - Noël P Burtt
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Mickaël Canouil
- CNRS, UMR 8199, Lille University, Lille Pasteur Institute, Lille, France
| | - Yii-Der Ida Chen
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yoon Shin Cho
- Department of Biomedical Science, Hallym University, Chuncheon, Republic of Korea
| | | | - Sophie V Eastwood
- Institute of Cardiovascular Science, University College London, London, UK
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité, University Medicine Berlin, Berlin, Germany
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Giovanni Gambaro
- Institute of Internal and Geriatric Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Geriatrics, Uppsala University, Uppsala, Sweden
| | - Megan L Grove
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hugoline G de Haan
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sophie Hackinger
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Yang Hai
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Sohee Han
- Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Anne Tybjærg-Hansen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Marie-France Hivert
- Diabetes Research Center (Diabetes Unit), Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Bo Isomaa
- Malmska Municipal Health Care Center and Hospital, Jakobstad, Finland
- Folkhälsan Research Centre, Helsinki, Finland
| | - Susanne Jäger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Marit E Jørgensen
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- National Institute of Public Health, Southern Denmark University, Copenhagen, Denmark
| | - Torben Jørgensen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Research Centre for Prevention and Health, Capital Region of Denmark, Glostrup, Denmark
- Faculty of Medicine, Aalborg University, Aalborg, Denmark
| | - Annemari Käräjämäki
- Department of Primary Health Care, Vaasa Central Hospital, Vaasa, Finland
- Diabetes Center, Vaasa Health Care Center, Vaasa, Finland
| | - Bong-Jo Kim
- Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Sung Soo Kim
- Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Heikki A Koistinen
- Department of Health, National Institute for Health and Welfare, Helsinki, Finland
- Endocrinology, Abdominal Center, Helsinki University Hospital, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
- Department of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Peter Kovacs
- Integrated Research and Treatment (IFB) Center Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Jennifer Kriebel
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Kristi Läll
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Mathematical Statistics, University of Tartu, Tartu, Estonia
| | - Leslie A Lange
- Department of Medicine, Division of Bioinformatics and Personalized Medicine, University of Colorado Denver, Aurora, CO, USA
| | - Jung-Jin Lee
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Huaixing Li
- Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Keng-Hung Lin
- Department of Ophthalmology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Allan Linneberg
- Research Centre for Prevention and Health, Capital Region of Denmark, Glostrup, Denmark
- Department of Clinical Experimental Research, Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jun Liu
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Marie Loh
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Institute of Health Sciences, University of Oulu, Oulu, Finland
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Vasiliki Mamakou
- Dromokaiteio Psychiatric Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Roberta McKean-Cowdin
- Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Girish Nadkarni
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matt Neville
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, UK
| | - Sune F Nielsen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ioanna Ntalla
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Line Rode
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Sebastian Schönherr
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kerrin S Small
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK
| | - Alena Stančáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Praveen Surendran
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Kent D Taylor
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Tanya M Teslovich
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Barbara Thorand
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Adrienne Tin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Anke Tönjes
- Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Anette Varbo
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Diabetes Academy, Odense, Denmark
| | - Andrew R Wood
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Pranav Yajnik
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Jie Yao
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Loïc Yengo
- CNRS, UMR 8199, Lille University, Lille Pasteur Institute, Lille, France
| | - Robin Young
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Philippe Amouyel
- Institut Pasteur de Lille, INSERM U1167, Université Lille Nord de France, Lille, France
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Erwin P Bottinger
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rajiv Chowdhury
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Francis S Collins
- Genome Technology Branch, National Human Genome Research Institute, US National Institutes of Health, Bethesda, MD, USA
| | - George Dedoussis
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Panos Deloukas
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia
| | - Marco M Ferrario
- Research Centre on Epidemiology and Preventive Medicine (EPIMED), Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Jean Ferrières
- INSERM, UMR 1027, Toulouse, France
- Department of Cardiology, Toulouse University School of Medicine, Rangueil Hospital, Toulouse, France
| | - Jose C Florez
- Diabetes Research Center (Diabetes Unit), Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | | | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, US National Institutes of Health, Bethesda, MD, USA
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA
| | - Joanna M M Howson
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences, Geriatrics, Uppsala University, Uppsala, Sweden
| | - Sekar Kathiresan
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Frank Kee
- UKCRC Centre of Excellence for Public Health (NI), Queens University of Belfast, Belfast, UK
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, US National Institutes of Health, Bethesda, MD, USA
| | - Cecilia M Lindgren
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Big Data Institute, Li Ka Shing Centre For Health Information and Discovery, University of Oxford, Oxford, UK
| | - Satu Männistö
- National Institute for Health and Welfare, Helsinki, Finland
| | - Thomas Meitinger
- Institute of Human Genetics, Technische Universität München, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Olle Melander
- Department of Clinical Sciences, Hypertension, and Cardiovascular Disease, Lund University, Malmö, Sweden
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Marie Moitry
- Department of Epidemiology and Public Health, University of Strasbourg, Strasbourg, France
- Department of Public Health, University Hospital of Strasbourg, Strasbourg, France
| | - Andrew D Morris
- Clinical Research Centre, Centre for Molecular Medicine, Ninewells Hospital and Medical School, Dundee, UK
- Usher Institute to the Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Alison D Murray
- Aberdeen Biomedical Imaging Centre, School of Medicine, Medical Sciences, and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marju Orho-Melander
- Department of Clinical Sciences, Diabetes, and Cardiovascular Disease, Genetic Epidemiology, Lund University, Malmö, Sweden
| | - Katharine R Owen
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, UK
| | - Markus Perola
- National Institute for Health and Welfare, Helsinki, Finland
- Finnish Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland
| | - Annette Peters
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Michael A Province
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA
| | - Asif Rasheed
- Center for Non-Communicable Diseases, Karachi, Pakistan
| | - Paul M Ridker
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Fernando Rivadineira
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anders H Rosengren
- Department of Clinical Sciences, Diabetes, and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, Finland
| | - Wayne H-H Sheu
- Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- National Yang-Ming University, School of Medicine, Taipei, Taiwan
- National Defense Medical Center, School of Medicine, Taipei, Taiwan
| | - Rob Sladek
- McGill University and Génome Québec Innovation Centre, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, McGill University, Montreal, QC, Canada
| | - Blair H Smith
- Division of Population Health Sciences, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry, and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
| | - André G Uitterlinden
- Department of Medical Sciences, Molecular Epidemiology, and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Rohit Varma
- USC Roski Eye Institute, Department of Ophthalmology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Matthias Blüher
- Integrated Research and Treatment (IFB) Center Adiposity Diseases, University of Leipzig, Leipzig, Germany
- Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Adam S Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - John Campbell Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Middlesex, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
| | - Daniel I Chasman
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
- British Heart Foundation, Cambridge Centre of Excellence, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Cornelia van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Josée Dupuis
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Paul W Franks
- Department of Clinical Sciences, Lund University Diabetes Centre, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
| | - Philippe Froguel
- CNRS, UMR 8199, Lille University, Lille Pasteur Institute, Lille, France
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, UK
| | - Harald Grallert
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Clinical Cooperation Group Type 2 Diabetes, Helmholtz Zentrum München, Ludwig-Maximillians University Munich, Munich, Germany
- Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München, Technical University of Munich, Munich, Germany
| | - Leif Groop
- Department of Clinical Sciences, Diabetes, and Endocrinology, Lund University Diabetes Centre, Malmö, Sweden
- Finnish Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland
| | - Bok-Ghee Han
- Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | | | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Erik Ingelsson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medical Sciences, Molecular Epidemiology, and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Fredrik Karpe
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, UK
| | - Jaspal Singh Kooner
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Middlesex, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- National Heart and Lung Institute, Cardiovascular Sciences, Hammersmith Campus, Imperial College London, London, UK
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Kari Kuulasmaa
- Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Xu Lin
- Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jonathan Marchini
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Statistics, University of Oxford, Oxford, UK
| | | | - Dennis Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Colin N A Palmer
- Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Rainer Rauramaa
- Foundation for Research in Health, Exercise, and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Nicole Soranzo
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Hematology, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Timothy D Spector
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK
| | - Kari Stefansson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
| | - Michael Stumvoll
- Divisions of Endocrinology and Nephrology, University Hospital Leipzig, Leipzig, Germany
| | - Unnur Thorsteinsdottir
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
| | - Tiinamaija Tuomi
- Folkhälsan Research Centre, Helsinki, Finland
- Endocrinology, Abdominal Center, Helsinki University Hospital, Helsinki, Finland
- Finnish Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland
- Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Jaakko Tuomilehto
- Department of Health, National Institute for Health and Welfare, Helsinki, Finland
- Dasman Diabetes Institute, Dasman, Kuwait
- Department of Neuroscience and Preventive Medicine, Danube University Krems, Krems, Austria
- Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Eleftheria Zeggini
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Robert A Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Inês Barroso
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - James B Meigs
- General Medicine Division, Massachusetts General Hospital and Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Danish Saleheen
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
- Center for Non-Communicable Diseases, Karachi, Pakistan
| | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Biostatistics, University of Liverpool, Liverpool, UK
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA.
- Department of Medicine, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA.
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, UK.
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Eslami MH, Reitz KM, Rybin DV, Doros G, Farber A. Improved access to health care in Massachusetts after 2006 Massachusetts Healthcare Reform Law is associated with a significant decrease in mortality among vascular surgery patients. J Vasc Surg 2018; 68:1193-1202.e1. [PMID: 29615354 DOI: 10.1016/j.jvs.2017.12.066] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Accepted: 12/18/2017] [Indexed: 11/18/2022]
Abstract
BACKGROUND Access to medical care, by adequate insurance coverage, has a direct impact on outcomes for patients undergoing vascular procedures. We evaluated in-hospital mortality for patients undergoing index vascular procedures before and after the Massachusetts Healthcare Reform Law (MHRL) in 2006, which mandated insurance for all Massachusetts residents, both in Massachusetts and throughout the United States. METHODS The National Inpatient Sample was queried to identify patients undergoing interventions for peripheral arterial disease, carotid artery stenosis, and abdominal aortic aneurysms based on International Classification of Diseases, Ninth Revision, Clinical Modification procedural and diagnostic codes. The cohort was then divided into patients treated within Massachusetts (MA) and non-Massachusetts (NMA) hospitals. Two time intervals were examined: before (2003-2006, P1) and after the MHRL (2007-2011, P2). The primary outcome of interest included in-hospital mortality. Patients in MA and NMA hospitals were described in terms of demographics and presentation by time interval (P2 vs P1) compared using χ2 and t-tests. Weighted logistic regression with term modeling change in the odds ratio (OR) for P2 was performed to test and to estimate trends in mortality. Time (year of procedure) and region interactions were investigated by inclusion of time-region interactions in our analyses. Subgroup analysis was performed for P2 vs P1 among nonwhite, nonelderly, and low-income patients. RESULTS We identified 306,438 patients who underwent repair of abdominal aortic aneurysm, lower extremity bypass, or carotid endarterectomy in MA and NMA hospitals. MA hospital patients had an increase in both Medicaid and private insurance status after the MHRL (P1 = 2.6% and 21% vs P2 = 3.3% and 21.7%, respectively; P = .034). In-hospital mortality trended down for all groups across the entire study. In comparing P2 vs P1 trends, MA hospital odds of mortality per year was lowered by 26% (OR, 0.74; 95% confidence interval [CI], 0.56-0.99; P = .042) not seen in NMA hospitals (OR, 1.03; 95% CI, 0.97-1.09; P = .405). Time and region interaction terms indicated significant time trend difference in both unadjusted (P = .031) and adjusted (P = .033) analysis in MA hospitals not observed in NMA hospitals. This pattern continued when the samples were stratified by procedure. Patients undergoing vascular procedures in MA hospitals had a significantly lowered OR of mortality, with fewer patients presenting at late disease stages in P2 vs P1. Nonelderly patients in Massachusetts, who benefit from the Medicaid expansion provided by the MHRL, had a profound 92% drop in odds of mortality in P2 vs P1 (OR, 0.08; 95% CI, 0.010-0.641; P = .017) compared with the 14% drop in NMA (OR, 0.86; 95% CI, 0.709-1.032; P = .103). CONCLUSIONS The 2006 MHRL is associated with a decrease in mortality for patients undergoing index vascular surgery procedures in MA compared with NMA hospitals. This study suggests that governmental policy may play a key role in positively affecting the outcomes for patients.
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Affiliation(s)
- Mohammad H Eslami
- Division of Vascular Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pa.
| | | | - Denis V Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, Mass
| | - Gheorghe Doros
- Department of Biostatistics, Boston University School of Public Health, Boston, Mass
| | - Alik Farber
- Division of Vascular and Endovascular Surgery, Boston University School of Medicine, Boston, Mass
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12
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Eslami MH, Rybin DV, Doros G, Siracuse JJ, Farber A. External validation of Vascular Study Group of New England risk predictive model of mortality after elective abdominal aorta aneurysm repair in the Vascular Quality Initiative and comparison against established models. J Vasc Surg 2018; 67:143-150. [DOI: 10.1016/j.jvs.2017.05.087] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 05/01/2017] [Indexed: 10/19/2022]
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13
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Parker MGK, Colson ER, Provini L, Rybin DV, Kerr SM, Heeren T, Corwin MJ. Variation in Safe Sleep and Breastfeeding Practices Among Non-Hispanic Black Mothers in the United States According to Birth Country. Acad Pediatr 2017; 17:887-892. [PMID: 28729127 DOI: 10.1016/j.acap.2017.07.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 07/07/2017] [Accepted: 07/11/2017] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To examine variation in safe sleep and breastfeeding practices among US non-Hispanic black (NHB) mothers according to birth country. METHODS We analyzed NHB mothers who were surveyed regarding safe sleep and breastfeeding practices when their infants were 2 to 6 months of age in 2011 to 2014, as part of a larger national study. We examined prevalences of safe sleep and breastfeeding practices according to birth country and examined odds of adherence to American Academy of Pediatrics recommended safe sleep and breastfeeding practices in foreign-born NHB mothers, compared with US-born NHB mothers. Our multivariate models included adjustment for maternal age, education, income, and US geographic region, and infant age at the time of the survey. RESULTS Among 828 NHB mothers, 690 (83%) were US-born, 42 (5%) were African-born, 47 (6%) were Haitian-born, 24 (3%) were Jamaican-born, and 25 (3%) were born elsewhere. In the analysis of 803 US, African-, Haitian-, and Jamaican-born mothers, we found that Jamaican-born mothers had a lower rate of supine sleep compared with US-born mothers (40% vs 66%; adjusted odds ratio, 0.34; 95% confidence interval, 0.18-0.63). African-born mothers had lower rates of bedsharing compared with US-born mothers (11% vs 25% adjusted odds ratio, 0.22; 95% confidence interval, 0.11-0.46). Foreign-born mothers had higher rates of any and exclusive breastfeeding, compared with US-born mothers (85% and 40% vs 23% and 13%, respectively). CONCLUSIONS Safe sleep and breastfeeding practices vary among US NHB mothers according to birth country. These data illustrate the importance of recognizing heterogeneity of safe sleep and breastfeeding practices within racial/ethnic groups.
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Affiliation(s)
- Margaret G K Parker
- Department of Pediatrics, Boston Medical Center, Boston University School of Medicine, Mass.
| | - Eve R Colson
- Department of Pediatrics, Yale School of Medicine, New Haven, Conn
| | - Lauren Provini
- Department of Pediatrics, Yale School of Medicine, New Haven, Conn
| | - Denis V Rybin
- Department of Biostatistics, Boston University School of Public Health, Mass
| | | | - Timothy Heeren
- Department of Biostatistics, Boston University School of Public Health, Mass
| | - Michael J Corwin
- Department of Pediatrics, Boston Medical Center, Boston University School of Medicine, Mass; Slone Epidemiology Center, Boston University, Mass
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14
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Modzelewski KL, Rybin DV, Weinberg JM, Alexanian SM, McDonnell ME, Steenkamp DW. Active cocaine use does not increase the likelihood of hyperglycemic crisis. J Clin Transl Endocrinol 2017; 9:1-7. [PMID: 29067261 PMCID: PMC5651291 DOI: 10.1016/j.jcte.2017.05.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 05/17/2017] [Accepted: 05/30/2017] [Indexed: 01/26/2023] Open
Abstract
Objective Hyperglycemic crisis encompasses a group of diabetes emergencies characterized by insulin deficiency with high morbidity and mortality. Cocaine use is increasingly prevalent in the United States and may be associated with increased risk of diabetic ketoacidosis. The objective was to determine if active cocaine use at hospital admission could be considered a risk factor for development of hyperglycemic crisis. Methods A retrospective case-control analysis was performed on 950 inpatients with hyperglycemia at an urban academic hospital. Patients admitted with non-emergent hyperglycemia were compared to patients who met criteria for diabetic ketoacidosis (DKA), hyperosmolar hyperglycemic state (HHS), and hyperosmolar ketoacidosis (HK), based on the absence or presence of cocaine metabolites on urine toxicology screen. Outcomes included frequency of cocaine use in patients with DKA, HHS, HK, and non-emergent hyperglycemia; phenotypic characteristics of cocaine users vs. non-users with hyperglycemia; phenotypic characteristics of patients with hyperglycemic crisis vs. non-emergent hyperglycemia. Results 950 patients were admitted with hyperglycemia, 133 of which met criteria for hyperglycemic crisis. There was no significant difference in the frequency of cocaine use in individuals with non-emergent hyperglycemia compared to individuals with hyperglycemic crisis (16.9% vs. 17.2%, p = 0.90). 16.9% of patients with DKA, 16.4% of patients with HHS, and 6.4% of patients with HK were cocaine users. Conclusions We found no association between active cocaine use at the time of hospital admission and development of hyperglycemic crisis, when compared to non-emergent hyperglycemia. The role of routine screening for cocaine use in patients with hyperglycemic crisis is unclear.
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Affiliation(s)
- Katherine L Modzelewski
- Section of Endocrinology, Diabetes and Nutrition, Boston Medical Center, Boston University School of Medicine, 732 Harrison Avenue, 2nd Floor, MA 02118, United States
| | - Denis V Rybin
- Department of Biostatistics, School of Public Health, Boston University, 715 Albany St., Boston, MA 02118, United States
| | - Janice M Weinberg
- Department of Biostatistics, School of Public Health, Boston University, 715 Albany St., Boston, MA 02118, United States
| | - Sara M Alexanian
- Section of Endocrinology, Diabetes and Nutrition, Boston Medical Center, Boston University School of Medicine, 732 Harrison Avenue, 2nd Floor, MA 02118, United States
| | - Marie E McDonnell
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave., Boston, MA 02115, United States
| | - Devin W Steenkamp
- Section of Endocrinology, Diabetes and Nutrition, Boston Medical Center, Boston University School of Medicine, 732 Harrison Avenue, 2nd Floor, MA 02118, United States
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15
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Abstract
Objectives (1) Determine the prevalence of maternal trust in advice sources on infant care practices; (2) Investigate the association of maternal and infant characteristics with trust in advice sources on infant care practices. Methods Using probability sampling methods, we recruited mothers from 32 U.S. maternity hospitals with oversampling of Black and Hispanic women resulting in a nationally representative sample of mothers of infants aged 2-6 months. Survey questions assessed maternal trust in advice sources (physicians, nurses, family, friends, and media) regarding infant care practices including infant sleep practices (sleep position, bed sharing, and pacifier use), feeding, and vaccination. Weighted frequencies of maternal trust in advice sources were calculated to obtain prevalence estimates. Multivariable logistic regression was used to assess the association of maternal and infant characteristics with maternal trust in advice sources. Results Mothers had the greatest trust in doctors for advice on all infant care practices (56-89 %), while trust was lowest for friends (13-22 %) and the media (10-14 %). In the adjusted analyses, there were significant associations of maternal race/ethnicity, education, and age with trust in advice sources. Conclusions for Practice Maternal trust in advice about infant care practices varied significantly by source. A better understanding of which advice sources are most trusted by mothers, as well as the factors associated with maternal trust, may guide the development of more effective strategies to improve adherence to health promoting infant care practices.
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Affiliation(s)
- Sunah S Hwang
- Section of Neonatology, Department of Pediatrics, Children's Hospital Colorado, 13121 E. 17th Street, Mailstop 8402, Aurora, CO, 80045, USA. .,Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
| | - Denis V Rybin
- Data Coordinating Center, Boston University School of Public Health, Boston, MA, USA
| | - Timothy C Heeren
- Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Eve R Colson
- Pediatrics, Yale University School of Medicine, New Haven, CT, USA
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16
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Wheeler E, Leong A, Liu CT, Hivert MF, Strawbridge RJ, Podmore C, Li M, Yao J, Sim X, Hong J, Chu AY, Zhang W, Wang X, Chen P, Maruthur NM, Porneala BC, Sharp SJ, Jia Y, Kabagambe EK, Chang LC, Chen WM, Elks CE, Evans DS, Fan Q, Giulianini F, Go MJ, Hottenga JJ, Hu Y, Jackson AU, Kanoni S, Kim YJ, Kleber ME, Ladenvall C, Lecoeur C, Lim SH, Lu Y, Mahajan A, Marzi C, Nalls MA, Navarro P, Nolte IM, Rose LM, Rybin DV, Sanna S, Shi Y, Stram DO, Takeuchi F, Tan SP, van der Most PJ, Van Vliet-Ostaptchouk JV, Wong A, Yengo L, Zhao W, Goel A, Martinez Larrad MT, Radke D, Salo P, Tanaka T, van Iperen EPA, Abecasis G, Afaq S, Alizadeh BZ, Bertoni AG, Bonnefond A, Böttcher Y, Bottinger EP, Campbell H, Carlson OD, Chen CH, Cho YS, Garvey WT, Gieger C, Goodarzi MO, Grallert H, Hamsten A, Hartman CA, Herder C, Hsiung CA, Huang J, Igase M, Isono M, Katsuya T, Khor CC, Kiess W, Kohara K, Kovacs P, Lee J, Lee WJ, Lehne B, Li H, Liu J, Lobbens S, Luan J, Lyssenko V, Meitinger T, Miki T, Miljkovic I, Moon S, Mulas A, Müller G, Müller-Nurasyid M, Nagaraja R, Nauck M, Pankow JS, Polasek O, Prokopenko I, Ramos PS, Rasmussen-Torvik L, Rathmann W, Rich SS, Robertson NR, Roden M, Roussel R, Rudan I, Scott RA, Scott WR, Sennblad B, Siscovick DS, Strauch K, Sun L, Swertz M, Tajuddin SM, Taylor KD, Teo YY, Tham YC, Tönjes A, Wareham NJ, Willemsen G, Wilsgaard T, Hingorani AD, Egan J, Ferrucci L, Hovingh GK, Jula A, Kivimaki M, Kumari M, Njølstad I, Palmer CNA, Serrano Ríos M, Stumvoll M, Watkins H, Aung T, Blüher M, Boehnke M, Boomsma DI, Bornstein SR, Chambers JC, Chasman DI, Chen YDI, Chen YT, Cheng CY, Cucca F, de Geus EJC, Deloukas P, Evans MK, Fornage M, Friedlander Y, Froguel P, Groop L, Gross MD, Harris TB, Hayward C, Heng CK, Ingelsson E, Kato N, Kim BJ, Koh WP, Kooner JS, Körner A, Kuh D, Kuusisto J, Laakso M, Lin X, Liu Y, Loos RJF, Magnusson PKE, März W, McCarthy MI, Oldehinkel AJ, Ong KK, Pedersen NL, Pereira MA, Peters A, Ridker PM, Sabanayagam C, Sale M, Saleheen D, Saltevo J, Schwarz PEH, Sheu WHH, Snieder H, Spector TD, Tabara Y, Tuomilehto J, van Dam RM, Wilson JG, Wilson JF, Wolffenbuttel BHR, Wong TY, Wu JY, Yuan JM, Zonderman AB, Soranzo N, Guo X, Roberts DJ, Florez JC, Sladek R, Dupuis J, Morris AP, Tai ES, Selvin E, Rotter JI, Langenberg C, Barroso I, Meigs JB. Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. PLoS Med 2017; 14:e1002383. [PMID: 28898252 PMCID: PMC5595282 DOI: 10.1371/journal.pmed.1002383] [Citation(s) in RCA: 256] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 08/03/2017] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Glycated hemoglobin (HbA1c) is used to diagnose type 2 diabetes (T2D) and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS) have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits) or glycemic (associated with other glucose-related traits). In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. We therefore expanded the number of HbA1c-associated loci and tested the effect of genetic risk-scores comprised of erythrocytic or glycemic variants on incident diabetes prediction and on prevalent diabetes screening performance. Throughout this multiancestry study, we kept a focus on interancestry differences in HbA1c genetics performance that might influence race-ancestry differences in health outcomes. METHODS & FINDINGS Using genome-wide association meta-analyses in up to 159,940 individuals from 82 cohorts of European, African, East Asian, and South Asian ancestry, we identified 60 common genetic variants associated with HbA1c. We classified variants as implicated in glycemic, erythrocytic, or unclassified biology and tested whether additive genetic scores of erythrocytic variants (GS-E) or glycemic variants (GS-G) were associated with higher T2D incidence in multiethnic longitudinal cohorts (N = 33,241). Nineteen glycemic and 22 erythrocytic variants were associated with HbA1c at genome-wide significance. GS-G was associated with higher T2D risk (incidence OR = 1.05, 95% CI 1.04-1.06, per HbA1c-raising allele, p = 3 × 10-29); whereas GS-E was not (OR = 1.00, 95% CI 0.99-1.01, p = 0.60). In Europeans and Asians, erythrocytic variants in aggregate had only modest effects on the diagnostic accuracy of HbA1c. Yet, in African Americans, the X-linked G6PD G202A variant (T-allele frequency 11%) was associated with an absolute decrease in HbA1c of 0.81%-units (95% CI 0.66-0.96) per allele in hemizygous men, and 0.68%-units (95% CI 0.38-0.97) in homozygous women. The G6PD variant may cause approximately 2% (N = 0.65 million, 95% CI 0.55-0.74) of African American adults with T2D to remain undiagnosed when screened with HbA1c. Limitations include the smaller sample sizes for non-European ancestries and the inability to classify approximately one-third of the variants. Further studies in large multiethnic cohorts with HbA1c, glycemic, and erythrocytic traits are required to better determine the biological action of the unclassified variants. CONCLUSIONS As G6PD deficiency can be clinically silent until illness strikes, we recommend investigation of the possible benefits of screening for the G6PD genotype along with using HbA1c to diagnose T2D in populations of African ancestry or groups where G6PD deficiency is common. Screening with direct glucose measurements, or genetically-informed HbA1c diagnostic thresholds in people with G6PD deficiency, may be required to avoid missed or delayed diagnoses.
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Affiliation(s)
- Eleanor Wheeler
- Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Aaron Leong
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
| | - Rona J. Strawbridge
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Centre for Molecular Medicine, Karolinska Universitetsjukhuset, Solna, Sweden
| | - Clara Podmore
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Man Li
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Division of Nephrology, University of Utah, Salt Lake City, UT, United States of America
- Department of Human Genetics, University of Utah, Salt Lake City, UT, United States of America
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jaeyoung Hong
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
| | - Audrey Y. Chu
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States of America
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
| | - Xu Wang
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Peng Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, United States of America
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, Jilin, China
- College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China
| | - Nisa M. Maruthur
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
- Welch Center for Prevention, Epidemiology and Clinical Research, The Johns Hopkins University, Baltimore, MD, United States of America
| | - Bianca C. Porneala
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States of America
| | - Stephen J. Sharp
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Yucheng Jia
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Edmond K. Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Li-Ching Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Wei-Min Chen
- University of Virginia Center for Public Health Genomics, Charlottesville, VA, United States of America
| | - Cathy E. Elks
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Personalised Healthcare & Biomarkers, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Qiao Fan
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Min Jin Go
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Jouke-Jan Hottenga
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Yao Hu
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Anne U. Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, United States of America
| | - Stavroula Kanoni
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Young Jin Kim
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Marcus E. Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Claes Ladenvall
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Lund University Diabetes Centre, Lund University, Lund, Sweden
| | - Cecile Lecoeur
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199—EGID, Lille, France
| | - Sing-Hui Lim
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
- The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Carola Marzi
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Partner Munich, Munich, Germany
| | - Mike A. Nalls
- Data Tecnica International, Glen Echo, MD, United States of America
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, United States of America
| | - Pau Navarro
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, Scotland
| | - Ilja M. Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Lynda M. Rose
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Denis V. Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- Data Coordinating Center, Boston University School of Public Health, Boston, MA, United States of America
| | - Serena Sanna
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy
| | - Yuan Shi
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Daniel O. Stram
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Shu Pei Tan
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Peter J. van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Jana V. Van Vliet-Ostaptchouk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Andrew Wong
- MRC Unit for Lifelong Health & Ageing, London, United Kingdom
| | - Loic Yengo
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199—EGID, Lille, France
| | - Wanting Zhao
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Anuj Goel
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Maria Teresa Martinez Larrad
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Dörte Radke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Perttu Salo
- National Institute for Health and Welfare (THL), Helsinki, Finland
- University of Helsinki, Institute for Molecular Medicine, Finland (FIMM) and Diabetes and Obesity Research Program, Helsinki, Finland
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, United States of America
| | - Erik P. A. van Iperen
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
- Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, Netherlands
| | - Goncalo Abecasis
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, United States of America
| | - Saima Afaq
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Behrooz Z. Alizadeh
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Alain G. Bertoni
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Amelie Bonnefond
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199—EGID, Lille, France
| | - Yvonne Böttcher
- Integrated Research and Treatment (IFB) Center Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Erwin P. Bottinger
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland
| | - Olga D. Carlson
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States of America
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- School of Chinese Medicine, China Medical University, Taichung City, Taiwan
| | - Yoon Shin Cho
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
- Department of Biomedical Science, Hallym University, Chuncheon, Gangwon-do, South Korea
| | - W. Timothy Garvey
- Department of Nutrition Sciences, University of Alabama at Birmingham and the Birmingham Veterans Affairs Medical Center, Birmingham, AL, United States of America
| | - Christian Gieger
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Mark O. Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States of America
| | - Harald Grallert
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Partner Munich, Munich, Germany
| | - Anders Hamsten
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Centre for Molecular Medicine, Karolinska Universitetsjukhuset, Solna, Sweden
| | - Catharina A. Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Chao Agnes Hsiung
- Division of Endocrinology, Diabetes, Metabolism, Department of Internal Medicine, Wexner Medical Center, The Ohio State University, Columbus, OH, United States of America
| | - Jie Huang
- Boston VA Research Institute, Inc., Boston, MA, United States of America
| | - Michiya Igase
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Masato Isono
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Tomohiro Katsuya
- Department of Clinical Gene Therapy, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Chiea-Chuen Khor
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Wieland Kiess
- Center of Pediatric Research, University Hospital for Children & Adolescents, Dept. of Women's & Child Health, University of Leipzig, Leipzig, Germany
- LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Katsuhiko Kohara
- Faculty of Collaborative Regional Innovation, Ehime University, Ehime, Japan
| | - Peter Kovacs
- Integrated Research and Treatment (IFB) Center Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Juyoung Lee
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Huaixing Li
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Jianjun Liu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Stephane Lobbens
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199—EGID, Lille, France
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | | | - Thomas Meitinger
- Institute of Human Genetics, Technische Universität München, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Tetsuro Miki
- Department of Geriatric Medicine, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Iva Miljkovic
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Sanghoon Moon
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy
| | - Gabriele Müller
- Center for Evidence-based Healthcare, University Hospital and Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
- Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Ramaiah Nagaraja
- Laboratory of Genetics, National Institute on Aging, Baltimore, MD, United States of America
| | - Matthias Nauck
- Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - James S. Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, United States of America
| | - Ozren Polasek
- University of Split, Split, Croatia
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, United Kingdom
| | - Paula S. Ramos
- Department of Medicine, Medical University of South Carolina, Charleston, SC, United States of America
| | - Laura Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, United States of America
| | - Neil R. Robertson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Ronan Roussel
- INSERM, UMR_S 1138, Centre de Recherche des Cordelier, Paris, France
- Université Paris Diderot, Sorbonne Paris Cité, UFR de Médecine, Paris, France
- Assistance Publique Hôpitaux de Paris, Bichat Hospital, DHU FIRE, Department of Diabetology, Endocrinology and Nutrition, Paris, France
| | - Igor Rudan
- University of Edinburgh, Edinburgh, United Kingdom
| | - Robert A. Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - William R. Scott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
| | - Bengt Sennblad
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Centre for Molecular Medicine, Karolinska Universitetsjukhuset, Solna, Sweden
- Science for life laboratory, Karolinska Institutet, Solna, Sweden
| | - David S. Siscovick
- The New York Academy of Medicine, New York, NY, United States of America
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
| | - Liang Sun
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Morris Swertz
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Salman M. Tajuddin
- Health Disparities Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States of America
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Singapore
| | - Yih Chung Tham
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
| | - Anke Tönjes
- Department of Medicine; University of Leipzig, Leipzig, Germany
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Gonneke Willemsen
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Tom Wilsgaard
- Dept of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
| | - Aroon D. Hingorani
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | | | | | | | - Josephine Egan
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States of America
| | - Luigi Ferrucci
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States of America
| | - G. Kees Hovingh
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, Netherlands
| | - Antti Jula
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Meena Kumari
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
- Institute for Social and Economic Research, University of Essex, Colchester, United Kingdom
| | - Inger Njølstad
- Dept of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
| | - Colin N. A. Palmer
- Pat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Medical Research Institute, Ninewells Hospital and Medical School, Dundee, United Kingdom
| | - Manuel Serrano Ríos
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | | | - Hugh Watkins
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Tin Aung
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore National Eye Centre, Singapore, Singapore
| | - Matthias Blüher
- Department of Medicine; University of Leipzig, Leipzig, Germany
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, United States of America
| | - Dorret I. Boomsma
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Stefan R. Bornstein
- Dept of Medicine III, University of Dresden, Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - John C. Chambers
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Division of Genetics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Yduan-Tsong Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore National Eye Centre, Singapore, Singapore
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy
- Dipartimento di Scienze Biomediche, Università di Sassari, Italy
| | - Eco J. C. de Geus
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Panos Deloukas
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
- Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia
| | - Michele K. Evans
- Health Disparities Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States of America
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - Yechiel Friedlander
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Philippe Froguel
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, United Kingdom
- CNRS 8199-Lille University, France
| | - Leif Groop
- Lund University Diabetes Centre, Lund University, Lund, Sweden
- Finnish Institute for Molecular Medicine (FIMM), Helsinki, Finland
| | - Myron D. Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States of America
| | - Tamara B. Harris
- National Institute on Aging, Bethesda, MD, United States of America
| | - Caroline Hayward
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children’s Medical Institute, National University Health System, Singapore, Singapore
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States of America
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Bong-Jo Kim
- Division of Structural and Functional Genomics, Center for Genome Science, Korean National Institute of Health, Osong, Chungchungbuk-do, South Korea
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Duke-NUS Medical School Singapore, Singapore
| | - Jaspal S. Kooner
- Department of Cardiology, Ealing Hospital NHS Trust, Southall, Middlesex, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Antje Körner
- Center of Pediatric Research, University Hospital for Children & Adolescents, Dept. of Women's & Child Health, University of Leipzig, Leipzig, Germany
- LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Diana Kuh
- MRC Unit for Lifelong Health & Ageing, London, United Kingdom
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Xu Lin
- The Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, United States of America
| | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
- The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
- The Mindich Child Health Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Patrik K. E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Insitutet, Stockholm, Sweden
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
- Synlab Academy, Synlab Services GmbH, Mannheim, Germany
| | - Mark I. McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, United Kingdom
| | - Albertine J. Oldehinkel
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Ken K. Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Insitutet, Stockholm, Sweden
| | - Mark A. Pereira
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, United States of America
| | - Annette Peters
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Paul M. Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
- Division of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Michele Sale
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, United States of America
| | - Danish Saleheen
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, United States of America
- Center for Non-Communicable Diseases, Karachi, Pakistan
| | - Juha Saltevo
- Department of Medicine, Central Hospital, Central Finland, Jyväskylä, Finland
| | - Peter EH. Schwarz
- Dept of Medicine III, University of Dresden, Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - Wayne H. H. Sheu
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Timothy D. Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Jaakko Tuomilehto
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
- Dasman Diabetes Institute, Dasman, Kuwait
- Centre for Vascular Prevention, Danube-University Krems, Krems, Austria
- Saudi Diabetes Research Group, King Abdulaziz University, Fahd Medical Research Center, Jeddah, Saudi Arabia
| | - Rob M. van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, United States of America
| | - James F. Wilson
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, Scotland
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland
| | - Bruce H. R. Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Tien Yin Wong
- Singapore Eye Research Institute, The Academia Level 6, Discovery Tower, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore National Eye Centre, Singapore, Singapore
| | - Jer-Yuarn Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- School of Chinese Medicine, China Medical University, Taichung City, Taiwan
| | - Jian-Min Yuan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States of America
- Division of Cancer Control and Population Sciences,University of Pittsburgh Cancer Institute, Pittsburgh, PA, United States of America
| | - Alan B. Zonderman
- Laboratory of Epidemiology & Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States of America
| | - Nicole Soranzo
- Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
- The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, United Kingdom
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - David J. Roberts
- Biomedical Research Centre Oxford Haematology Theme and Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Headington, Oxford, United Kingdom
- NHS Blood and Transplant, Headington, Oxford, United Kingdom
| | - Jose C. Florez
- Harvard Medical School, Boston, MA, United States of America
- Diabetes Unit and Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, United States of America
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Robert Sladek
- Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States of America
| | - Andrew P. Morris
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Department of Biostatistics, University of Liverpool, Liverpool, United Kingdom
| | - E-Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Duke-NUS Medical School Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Elizabeth Selvin
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
- Welch Center for Prevention, Epidemiology and Clinical Research, The Johns Hopkins University, Baltimore, MD, United States of America
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Inês Barroso
- Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, United Kingdom
- Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - James B. Meigs
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, United States of America
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Hwang SS, Rybin DV, Kerr SM, Heeren TC, Colson ER, Corwin MJ. Predictors of Maternal Trust in Doctors About Advice on Infant Care Practices: The SAFE Study. Acad Pediatr 2017; 17:762-769. [PMID: 28315416 DOI: 10.1016/j.acap.2017.03.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Revised: 03/06/2017] [Accepted: 03/07/2017] [Indexed: 01/18/2023]
Abstract
OBJECTIVE To determine predictors of maternal trust in doctors about advice on infant care practices. METHODS Using probability sampling methods, we recruited mothers from 32 US maternity hospitals. Mothers completed a survey 2 to 6 months postpartum that included questions about maternal trust in doctors regarding 6 infant care practices and physician characteristics (doctor asked mother's opinion, doctor is qualified, infant sees 1 main doctor who is/is not of the same ethnicity/race). Prevalence estimates and 95% confidence intervals were calculated for maternal trust in physician advice for each infant care practice. Multivariate logistic regression was used to calculate the independent association of maternal and physician characteristics and trust for each infant care practice, controlling for sociodemographic characteristics. RESULTS Of the 3983 mothers enrolled from January 2011 to March 2014, 3297 (83%) completed the follow-up survey. Maternal trust in the doctor varied according to infant care practice with highest trust for vaccination (89%) and lowest trust for pacifier use (56%). In the adjusted analyses, for all infant care practices, mothers were more likely to trust their doctors if they reported that the doctors were qualified (adjusted odds ratio [AOR], >3.0 for all practices) or if the doctor had asked their opinion (AOR, 1.76-2.43). For mothers who reported seeing 1 main doctor, white mothers were more likely to trust physicians for almost all infant care practices if they reported the doctor was the same race (AOR, 1.54-2.19). CONCLUSIONS Physician characteristics and ways of communication were significantly associated with maternal trust in doctors about advice on infant care practices.
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Affiliation(s)
- Sunah S Hwang
- Section of Neonatology, Children's Hospital Colorado, Aurora; Pediatrics, University of Colorado School of Medicine, Aurora.
| | - Denis V Rybin
- Data Coordinating Center, Boston University School of Public Health, Mass
| | - Stephen M Kerr
- Data Coordinating Center, Boston University School of Public Health, Mass; Slone Epidemiology Center, Boston University, Mass
| | | | - Eve R Colson
- Pediatrics, Yale University School of Medicine, New Haven, Conn
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Salzler GG, Farber A, Rybin DV, Doros G, Siracuse JJ, Eslami MH. The association of Carotid Revascularization Endarterectomy versus Stent Trial (CREST) and Centers for Medicare and Medicaid Services Carotid Guideline Publication on utilization and outcomes of carotid stenting among "high-risk" patients. J Vasc Surg 2017; 66:104-111.e1. [PMID: 28502543 DOI: 10.1016/j.jvs.2017.02.025] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Accepted: 02/10/2017] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Since the 2004 approval by the United States Food and Drug Administration of carotid artery stenting (CAS), there have been two seminal publications about CAS reimbursement (Centers for Medicare and Medicaid Services guidelines; 2008) and clinical outcomes (Carotid Revascularization Endarterectomy versus Stent Trial [CREST]; 2010). We explored the association between these publications and national trends in CAS use among high-risk symptomatic patients. METHODS The most recent congruent data sets of the Nationwide Inpatient Sample (NIS) were queried for patients undergoing carotid revascularization. The sample was limited to include only patients who were defined as "high-risk" if they had a Charlson Comorbidity Score of ≥3.0. Subgroup analyses were performed of high-risk patients with symptomatic carotid stenosis. Utilization proportions of CAS were calculated quarterly from 2005 to 2011 for NIS. Three time intervals related to Centers for Medicare and Medicaid Services guidelines and CREST publication were selected: 2005 to 2008, 2008 to 2010, and after 2010. Logistic regression with piecewise linear trend for time was used to estimate different trends in CAS use for the overall high-risk sample and for neurologically asymptomatic and symptomatic cases. Multivariate logistic regression was used to compare odds of postoperative mortality and stroke between these two procedures at different time intervals independent of confounding variables. RESULTS During the study period, 20,079 carotid endarterectomies (CEAs) and 3447 CAS procedures were performed in high-risk patients in the NIS database. CAS utilization constituted 20.5% of carotid revascularization procedures among high-risk symptomatic patients, with a significant increase from 18.6% to 24.4% during the study period (P < .001). There was an initial increase during 2005 to 2008 in the rate of CAS compared with CEA, CAS utilization significantly decreased during 2008 to 2010 by a 3.3% decline in the odds ratio (OR) of CAS per quarter (OR, 0.967; 95% confidence interval [CI], 0.943-0.993; P = .002), and after CREST (after 2010), CAS utilization continued to increase significantly from the prepublication to the postpublication time interval. The odds of in-hospital mortality (OR, 2.56; 95% CI, 1.17-5.62; P = .019) and postoperative in-hospital stroke (OR, 1.53; 95% CI, 1.09-3.68; P = .024) were independently and significantly higher for CAS patients in the overall sample. CONCLUSIONS The use of CAS for carotid revascularization in a high-risk cohort of patients has significantly increased from 2005 to 2011. Compared with CEA, CAS independently increased the odds of perioperative in-hospital stroke in all high-risk patients and of in-hospital mortality in symptomatic high-risk patients.
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Affiliation(s)
- Gregory G Salzler
- Division of Vascular Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pa
| | - Alik Farber
- Division of Vascular and Endovascular Surgery, Boston University School of Medicine, Boston, Mass
| | - Denis V Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, Mass
| | - Gheorghe Doros
- Department of Biostatistics, Boston University School of Public Health, Boston, Mass
| | - Jeffrey J Siracuse
- Division of Vascular and Endovascular Surgery, Boston University School of Medicine, Boston, Mass
| | - Mohammad H Eslami
- Division of Vascular Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pa.
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Eslami MH, Doros G, Rybin DV. Reply. J Vasc Surg 2017; 65:1547-1548. [PMID: 28434602 DOI: 10.1016/j.jvs.2016.12.091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Accepted: 12/30/2016] [Indexed: 11/26/2022]
Affiliation(s)
- Mohammad H Eslami
- Division of Vascular Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pa
| | - Gheorghe Doros
- Department of Biostatistics, Boston School of Public Health, Boston, Mass
| | - Denis V Rybin
- Department of Biostatistics, Boston School of Public Health, Boston, Mass
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Provini LE, Corwin MJ, Geller NL, Heeren TC, Moon RY, Rybin DV, Shapiro-Mendoza CK, Colson ER. Differences in Infant Care Practices and Smoking among Hispanic Mothers Living in the United States. J Pediatr 2017; 182:321-326.e1. [PMID: 27979582 PMCID: PMC5328962 DOI: 10.1016/j.jpeds.2016.11.053] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 10/03/2016] [Accepted: 11/15/2016] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To assess the association between maternal birth country and adherence to the American Academy of Pediatrics safe sleep recommendations in a national sample of Hispanic mothers, given that data assessing the heterogeneity of infant care practices among Hispanics are lacking. STUDY DESIGN We used a stratified, 2-stage, clustered design to obtain a nationally representative sample of mothers from 32 US intrapartum hospitals. A total of 907 completed follow-up surveys (administered 2-6 months postpartum) were received from mothers who self-identified as Hispanic/Latina, forming our sample, which we divided into 4 subpopulations by birth country (US, Mexico, Central/South America, and Caribbean). Prevalence estimates and aORs were determined for infant sleep position, location, breastfeeding, and maternal smoking. RESULTS When compared with US-born mothers, we found that mothers born in the Caribbean (aOR 4.56) and Central/South America (aOR 2.68) were significantly more likely to room share without bed sharing. Caribbean-born mothers were significantly less likely to place infants to sleep supine (aOR 0.41). Mothers born in Mexico (aOR 1.67) and Central/South America (aOR 2.57) were significantly more likely to exclusively breastfeed; Caribbean-born mothers (aOR 0.13) were significantly less likely to do so. Foreign-born mothers were significantly less likely to smoke before and during pregnancy. CONCLUSIONS Among US Hispanics, adherence to American Academy of Pediatrics safe sleep recommendations varies widely by maternal birth country. These data illustrate the importance of examining behavioral heterogeneity among ethnic groups and have potential relevance for developing targeted interventions for safe infant sleep.
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Affiliation(s)
| | | | | | - Timothy C Heeren
- Department of Biostatistics, Boston University School of Public Health
| | - Rachel Y Moon
- Department of Pediatrics, University of Virginia School of Medicine
| | - Denis V Rybin
- Data Coordinating Center, Boston University School of Public Health
| | - Carrie K Shapiro-Mendoza
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention
| | - Eve R Colson
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT.
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Eslami MH, Rybin DV, Doros G, Farber A. Description of a risk predictive model of 30-day postoperative mortality after elective abdominal aortic aneurysm repair. J Vasc Surg 2017; 65:65-74.e2. [DOI: 10.1016/j.jvs.2016.07.103] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Accepted: 07/01/2016] [Indexed: 12/11/2022]
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Chen BH, Hivert MF, Peters MJ, Pilling LC, Hogan JD, Pham LM, Harries LW, Fox CS, Bandinelli S, Dehghan A, Hernandez DG, Hofman A, Hong J, Joehanes R, Johnson AD, Munson PJ, Rybin DV, Singleton AB, Uitterlinden AG, Ying S, Melzer D, Levy D, van Meurs JBJ, Ferrucci L, Florez JC, Dupuis J, Meigs JB, Kolaczyk ED. Peripheral Blood Transcriptomic Signatures of Fasting Glucose and Insulin Concentrations. Diabetes 2016; 65:3794-3804. [PMID: 27625022 PMCID: PMC5127245 DOI: 10.2337/db16-0470] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 09/04/2016] [Indexed: 01/09/2023]
Abstract
Genome-wide association studies (GWAS) have successfully identified genetic loci associated with glycemic traits. However, characterizing the functional significance of these loci has proven challenging. We sought to gain insights into the regulation of fasting insulin and fasting glucose through the use of gene expression microarray data from peripheral blood samples of participants without diabetes in the Framingham Heart Study (FHS) (n = 5,056), the Rotterdam Study (RS) (n = 723), and the InCHIANTI Study (Invecchiare in Chianti) (n = 595). Using a false discovery rate q <0.05, we identified three transcripts associated with fasting glucose and 433 transcripts associated with fasting insulin levels after adjusting for age, sex, technical covariates, and complete blood cell counts. Among the findings, circulating IGF2BP2 transcript levels were positively associated with fasting insulin in both the FHS and RS. Using 1000 Genomes-imputed genotype data, we identified 47,587 cis-expression quantitative trait loci (eQTL) and 6,695 trans-eQTL associated with the 433 significant insulin-associated transcripts. Of note, we identified a trans-eQTL (rs592423), where the A allele was associated with higher IGF2BP2 levels and with fasting insulin in an independent genetic meta-analysis comprised of 50,823 individuals. We conclude that integration of genomic and transcriptomic data implicate circulating IGF2BP2 mRNA levels associated with glucose and insulin homeostasis.
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Affiliation(s)
- Brian H Chen
- Longitudinal Studies Section, Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA
- Diabetes Research Center, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Marjolein J Peters
- Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
- Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging, Leiden and Rotterdam, the Netherlands
| | - Luke C Pilling
- Epidemiology and Public Health Group, Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Exeter, U.K
| | - John D Hogan
- Program in Bioinformatics, Boston University, Boston, MA
| | - Lisa M Pham
- Program in Bioinformatics, Boston University, Boston, MA
| | - Lorna W Harries
- Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Exeter, U.K
| | - Caroline S Fox
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD
| | - Stefania Bandinelli
- Geriatric Rehabilitation Unit, Azienda Sanitaria di Firenze, Florence, Italy
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Dena G Hernandez
- Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Jaeyoung Hong
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Roby Joehanes
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD
- Hebrew SeniorLife, Harvard Medical School, Boston, MA
| | - Andrew D Johnson
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD
| | - Peter J Munson
- Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, MD
| | - Denis V Rybin
- Data Coordinating Center, Boston University, Boston, MA
| | - Andrew B Singleton
- Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
- Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging, Leiden and Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Saixia Ying
- Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, MD
| | | | - David Melzer
- Epidemiology and Public Health Group, Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Exeter, U.K
| | - Daniel Levy
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
- Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging, Leiden and Rotterdam, the Netherlands
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD
| | - Jose C Florez
- Diabetes Research Center, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA
- Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Josée Dupuis
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - James B Meigs
- Metabolism Program and Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
| | - Eric D Kolaczyk
- Program in Bioinformatics, Boston University, Boston, MA
- Department of Mathematics and Statistics, Boston University, MA
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Menn-Josephy H, Lee CS, Nolin A, Christov M, Rybin DV, Weinberg JM, Henderson J, Bonegio R, Havasi A. Renal Interstitial Fibrosis: An Imperfect Predictor of Kidney Disease Progression in Some Patient Cohorts. Am J Nephrol 2016; 44:289-299. [PMID: 27626625 DOI: 10.1159/000449511] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 08/28/2016] [Indexed: 01/12/2023]
Abstract
BACKGROUND The extent of interstitial fibrosis on kidney biopsy is regarded as a prognostic indicator and guide to treatment. Patients with extensive fibrosis are assigned to supportive treatments with the expectation that they have advanced beyond the point at which immunosuppressive or other disease-modifying therapies would be of benefit. Our study highlights some of the limitations of using interstitial fibrosis to predict who will develop end-stage renal disease (ESRD). METHODS Analysis of 434 consecutive renal biopsies performed between 2001 and 2012 at a single center. We assessed the influence of various clinical factors along with fibrosis as predictors of ESRD and dialysis-free survival in various patient groups. RESULTS Interstitial fibrosis performed well overall as a predictor of progression to dialysis. On average, patients with >50% fibrosis progressed more rapidly than those with either 25-49 or 0-24% fibrosis with a median time to dialysis of 1.2, 6.5 and >10 years, respectively. In contrast, interstitial fibrosis was of less value as a predictor of disease progression in a subset of cases that included patients over the age of 70 and those with diabetic nephropathy on biopsy. Surprisingly, 13.9% of patients with normal renal function had 25-49% fibrosis and 5% had more than 50% fibrosis on biopsy, and 5 years after undergoing biopsy 21% of patients with >50% fibrosis still remained dialysis free. CONCLUSION Renal fibrosis is an imperfect prognostic indicator for the development of ESRD and caution should be exercised in applying it too rigidly, especially in elderly or diabetic patients.
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Affiliation(s)
- Hanni Menn-Josephy
- Department of Medicine, Boston University Medical Center, Boston, Mass., USA
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24
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Smith LA, Geller NL, Kellams AL, Colson ER, Rybin DV, Heeren T, Corwin MJ. Infant Sleep Location and Breastfeeding Practices in the United States, 2011-2014. Acad Pediatr 2016; 16:540-9. [PMID: 26851615 PMCID: PMC6202582 DOI: 10.1016/j.acap.2016.01.021] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2015] [Revised: 01/23/2016] [Accepted: 01/29/2016] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To describe the prevalence of breastfeeding and sleep location practices among US mothers and the factors associated with these behaviors, including advice received regarding these practices. METHODS A nationally representative sample of 3218 mothers who spoke English or Spanish were enrolled at a sample of 32 US birth hospitals between January 2011 and March 2014. RESULTS Exclusive breastfeeding was reported by 30.5% of mothers, while an additional 29.5% reported partial breastfeeding. The majority of mothers, 65.5%, reported usually room sharing without bed sharing, while 20.7% reported bed sharing. Compared to mothers who room shared without bed sharing, mothers who bed shared were more likely to report exclusive breastfeeding (adjusted odds ratio 2.46, 95% confidence interval 1.76, 3.45) or partial breastfeeding (adjusted odds ratio 1.75, 95% confidence interval 1.33, 2.31). The majority of mothers reported usually room sharing without bed sharing regardless of feeding practices, including 58.2% of exclusively breastfeeding mothers and 70.0% of nonbreastfeeding mothers. Receiving advice regarding sleep location or breastfeeding increased adherence to recommendations in a dose response manner (the adjusted odds of room sharing without bed sharing and exclusive breastfeeding increased as the relevant advice score increased); however, receiving advice regarding sleep location did not affect feeding practices. CONCLUSIONS Many mothers have not adopted the recommended infant sleep location or feeding practices. Receiving advice from multiple sources appears to promote adherence in a dose response manner. Many women are able to both breastfeed and room share without bed sharing, and advice to adhere to both of these recommendations did not decrease breastfeeding rates.
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Affiliation(s)
| | - Nicole L Geller
- Slone Epidemiology Center at Boston University, Boston, Mass
| | - Ann L Kellams
- Well Newborn and Breastfeeding Medicine Services, University of Virginia, Charlottesville, Va
| | - Eve R Colson
- Department of Pediatrics, Yale University, Yale School of Medicine, New Haven, Conn
| | - Denis V Rybin
- Data Coordinating Center, Boston University School of Public Health, Boston, Mass
| | - Timothy Heeren
- Department of Biostatistics, Boston University School of Public Health, Boston, Mass
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Inagaki E, Farber A, Eslami MH, Kalish J, Peacock MR, Rybin DV, Doros G, Siracuse JJ. Preoperative Hypoalbuminemia Is Associated With Poor Clinical Outcomes After Open and Endovascular Abdominal Aortic Aneurysm Repair. J Vasc Surg 2016. [DOI: 10.1016/j.jvs.2016.05.027] [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: 10/21/2022]
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Liu CT, Raghavan S, Maruthur N, Kabagambe EK, Hong J, Ng MCY, Hivert MF, Lu Y, An P, Bentley AR, Drolet AM, Gaulton KJ, Guo X, Armstrong LL, Irvin MR, Li M, Lipovich L, Rybin DV, Taylor KD, Agyemang C, Palmer ND, Cade BE, Chen WM, Dauriz M, Delaney JAC, Edwards TL, Evans DS, Evans MK, Lange LA, Leong A, Liu J, Liu Y, Nayak U, Patel SR, Porneala BC, Rasmussen-Torvik LJ, Snijder MB, Stallings SC, Tanaka T, Yanek LR, Zhao W, Becker DM, Bielak LF, Biggs ML, Bottinger EP, Bowden DW, Chen G, Correa A, Couper DJ, Crawford DC, Cushman M, Eicher JD, Fornage M, Franceschini N, Fu YP, Goodarzi MO, Gottesman O, Hara K, Harris TB, Jensen RA, Johnson AD, Jhun MA, Karter AJ, Keller MF, Kho AN, Kizer JR, Krauss RM, Langefeld CD, Li X, Liang J, Liu S, Lowe WL, Mosley TH, North KE, Pacheco JA, Peyser PA, Patrick AL, Rice KM, Selvin E, Sims M, Smith JA, Tajuddin SM, Vaidya D, Wren MP, Yao J, Zhu X, Ziegler JT, Zmuda JM, Zonderman AB, Zwinderman AH, Adeyemo A, Boerwinkle E, Ferrucci L, Hayes MG, Kardia SLR, Miljkovic I, Pankow JS, Rotimi CN, Sale MM, Wagenknecht LE, Arnett DK, Chen YDI, Nalls MA, Province MA, Kao WHL, Siscovick DS, Psaty BM, Wilson JG, Loos RJF, Dupuis J, Rich SS, Florez JC, Rotter JI, Morris AP, Meigs JB. Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin. Am J Hum Genet 2016; 99:56-75. [PMID: 27321945 PMCID: PMC5005440 DOI: 10.1016/j.ajhg.2016.05.006] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 05/02/2016] [Indexed: 12/11/2022] Open
Abstract
Knowledge of the genetic basis of the type 2 diabetes (T2D)-related quantitative traits fasting glucose (FG) and insulin (FI) in African ancestry (AA) individuals has been limited. In non-diabetic subjects of AA (n = 20,209) and European ancestry (EA; n = 57,292), we performed trans-ethnic (AA+EA) fine-mapping of 54 established EA FG or FI loci with detailed functional annotation, assessed their relevance in AA individuals, and sought previously undescribed loci through trans-ethnic (AA+EA) meta-analysis. We narrowed credible sets of variants driving association signals for 22/54 EA-associated loci; 18/22 credible sets overlapped with active islet-specific enhancers or transcription factor (TF) binding sites, and 21/22 contained at least one TF motif. Of the 54 EA-associated loci, 23 were shared between EA and AA. Replication with an additional 10,096 AA individuals identified two previously undescribed FI loci, chrX FAM133A (rs213676) and chr5 PELO (rs6450057). Trans-ethnic analyses with regulatory annotation illuminate the genetic architecture of glycemic traits and suggest gene regulation as a target to advance precision medicine for T2D. Our approach to utilize state-of-the-art functional annotation and implement trans-ethnic association analysis for discovery and fine-mapping offers a framework for further follow-up and characterization of GWAS signals of complex trait loci.
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Affiliation(s)
- Ching-Ti Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA.
| | - Sridharan Raghavan
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; Department of Veterans Affairs Medical Center, Eastern Colorado Health Care System, Denver, CO 80220, USA; Division of General Internal Medicine, Department of Medicine, University of Colorado School of Medicine, Denver, CO 80220, USA
| | - Nisa Maruthur
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD 21287, USA; Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21287, USA
| | - Edmond Kato Kabagambe
- Division of Epidemiology, Department of Medicine, School of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Jaeyoung Hong
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; Center for Diabetes Research, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA; Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Medicine, Universite de Sherbrooke, Sherbrooke, QC J1G 0A2, Canada
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ping An
- Division of Statistical Genomics, Department of Genetics, School of Medicine, Washington University, St Louis, MO 63108, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Anne M Drolet
- Center for Molecular Medicine and Genetics, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Kyle J Gaulton
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Loren L Armstrong
- Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama - Birmingham, Birmingham, AL 35294, USA
| | - Man Li
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21287, USA
| | - Leonard Lipovich
- Center for Molecular Medicine and Genetics, School of Medicine, Wayne State University, Detroit, MI 48201, USA; Department of Neurology, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Denis V Rybin
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Charles Agyemang
- Department of Public Health, Academic Medical Center Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, the Netherlands
| | - Nicholette D Palmer
- Center for Genomics and Personalized Medicine Research, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Wei-Min Chen
- Center for Public Health Genomics, Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Marco Dauriz
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, University of Verona, 37126 Verona, Italy
| | - Joseph A C Delaney
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - Todd L Edwards
- Division of Epidemiology, Department of Medicine, School of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Michele K Evans
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - Leslie A Lange
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27607, USA
| | - Aaron Leong
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Jingmin Liu
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Yongmei Liu
- Center for Human Genetics, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Uma Nayak
- Center for Public Health Genomics, Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Sanjay R Patel
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Bianca C Porneala
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Laura J Rasmussen-Torvik
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Marieke B Snijder
- Department of Public Health, Academic Medical Center Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, the Netherlands
| | - Sarah C Stallings
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute of Aging at Harbor Hospital, Baltimore, MD 21225, USA
| | - Lisa R Yanek
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Diane M Becker
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA; Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21287, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Mary L Biggs
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA; Cardiovascular Health Research Unit, Department of Medicine, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Erwin P Bottinger
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; Center for Diabetes Research, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - David J Couper
- Collaborative Studies Coordinating Center, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Dana C Crawford
- Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Mary Cushman
- Department of Medicine and Pathology, University of Vermont, College of Medicine, Burlington, VT 05405, USA
| | - John D Eicher
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, NIH, Framingham, MA 01702, USA
| | - Myriam Fornage
- Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Yi-Ping Fu
- Cardiovascular Epidemiology and Human Genomics Branch, National Heart, Lung, and Blood Institute, NIH, Framingham, MA 01702, USA
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes & Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Omri Gottesman
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kazuo Hara
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan; Department of Diabetes, Endocrinology, and Metabolism, Tokyo Medical University, Tokyo 163-0023, Japan
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, NIH, Bethesda, MD 20892, USA
| | - Richard A Jensen
- Cardiovascular Health Research Unit, Department of Medicine, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Andrew D Johnson
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, NIH, Framingham, MA 01702, USA
| | - Min A Jhun
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Andrew J Karter
- Division of Research, Kaiser Permanente, Northern California Region, Oakland, CA 94612, USA
| | - Margaux F Keller
- Department of Genetics and Pharmacogenomics, Merck Research Laboratories, 33 Avenue Louis Pasteur, Boston, MA 02115, USA
| | - Abel N Kho
- Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Jorge R Kizer
- Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10461, USA; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Ronald M Krauss
- Children's Hospital Oakland Research Institute, Oakland, CA 94609, USA
| | - Carl D Langefeld
- Center for Public Health Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Xiaohui Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Jingling Liang
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Simin Liu
- Department of Epidemiology, Brown University, Providence, RI 02912, USA; Department of Medicine, Brown University, Providence, RI 02903, USA
| | - William L Lowe
- Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Thomas H Mosley
- Division of Geriatrics/Gerontology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Jennifer A Pacheco
- Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Alan L Patrick
- Tobago Health Studies Office, Scarborough, Tobago, Trinidad and Tobago
| | - Kenneth M Rice
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Elizabeth Selvin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD 21287, USA; Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21287, USA
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Salman M Tajuddin
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - Dhananjay Vaidya
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21287, USA; GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Mary P Wren
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Julie T Ziegler
- Center for Public Health Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Joseph M Zmuda
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Alan B Zonderman
- Behavioral Epidemiology Section, Laboratory of Epidemiology & Population Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD 21224, US
| | - Aeilko H Zwinderman
- Department of Public Health, Academic Medical Center Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, the Netherlands
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Eric Boerwinkle
- Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute of Aging at Harbor Hospital, Baltimore, MD 21225, USA
| | - M Geoffrey Hayes
- Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Iva Miljkovic
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Michele M Sale
- Center for Public Health Genomics, Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Lynne E Wagenknecht
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Donna K Arnett
- University of Kentucky College of Public Health, Lexington, KY 40563, USA
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Michael A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD 20892, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, School of Medicine, Washington University, St Louis, MO 63108, USA
| | - W H Linda Kao
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21287, USA
| | - David S Siscovick
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA; Cardiovascular Health Research Unit, Department of Medicine, School of Medicine, University of Washington, Seattle, WA 98195, USA; The New York Academy of Medicine, New York, NY 10029, USA
| | - Bruce M Psaty
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA; Cardiovascular Health Research Unit, Department of Medicine, School of Medicine, University of Washington, Seattle, WA 98195, USA; Department of Health Services, University of Washington, Seattle, WA 98195, USA; Group Health Research Institute, Group Health Cooperative, Seattle, WA 98101, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Josée Dupuis
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA; National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Jose C Florez
- Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA; Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA 02114, USA; Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA 02142, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Institute of Translational Medicine, Department of Biostatistics, University of Liverpool, Liverpool L69 3BX, UK
| | - James B Meigs
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
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Inagaki E, Farber A, Eslami MH, Siracuse JJ, Rybin DV, Sarosiek S, Sloan JM, Kalish J. Improving the retrieval rate of inferior vena cava filters with a multidisciplinary team approach. J Vasc Surg Venous Lymphat Disord 2016; 4:276-82. [PMID: 27318045 DOI: 10.1016/j.jvsv.2015.11.002] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Accepted: 11/20/2015] [Indexed: 11/19/2022]
Abstract
OBJECTIVE The option to retrieve inferior vena cava (IVC) filters has resulted in an increase in the utilization of these devices as stopgap measures in patients with relative contraindications to anticoagulation. These retrievable IVC filters, however, are often not retrieved and become permanent. Recent data from our institution confirmed a historically low retrieval rate. Therefore, we hypothesized that the implementation of a new IVC filter retrieval protocol would increase the retrieval rate of appropriate IVC filters at our institution. METHODS All consecutive patients who underwent an IVC filter placement at our institution between September 2003 and July 2012 were retrospectively reviewed. In August 2012, a multidisciplinary task force was established, and a new IVC filter retrieval protocol was implemented. Prospective data were collected using a centralized interdepartmental IVC filter registry for all consecutive patients who underwent an IVC filter placement between August 2012 and September 2014. Patients were chronologically categorized into preimplementation (PRE) and postimplementation (POST) groups. Comparisons of outcome measures, including the retrieval rate of IVC filters along with rates of retrieval attempt and technical failure, were made between the two groups. RESULTS In the PRE and POST groups, a total of 720 and 74 retrievable IVC filters were implanted, respectively. In the POST group, 40 of 74 filters (54%) were successfully retrieved compared with 82 of 720 filters (11%) in the PRE group (P < .001). Furthermore, a greater number of IVC filter retrievals were attempted in the POST group than in the PRE group (66% vs 14%; P < .001). No significant difference was observed between the PRE and POST groups for technical failure (17% vs 18%; P = .9). CONCLUSIONS The retrieval rate of retrievable IVC filters at our institution was significantly increased with the implementation of a new IVC filter retrieval protocol with a multidisciplinary team approach. This improved retrieval rate is possible with minimal dedication of resources and can potentially lead to a decrease in IVC filter-related complications in the future.
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Affiliation(s)
- Elica Inagaki
- Department of Surgery, Boston Medical Center, Boston, Mass
| | - Alik Farber
- Division of Vascular and Endovascular Surgery, Department of Surgery, Boston Medical Center, Boston, Mass
| | - Mohammad H Eslami
- Division of Vascular and Endovascular Surgery, Department of Surgery, Boston Medical Center, Boston, Mass
| | - Jeffrey J Siracuse
- Division of Vascular and Endovascular Surgery, Department of Surgery, Boston Medical Center, Boston, Mass
| | - Denis V Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, Mass
| | - Shayna Sarosiek
- Section of Hematology and Oncology, Department of Medicine, Boston University and Boston Medical Center, Boston, Mass
| | - J Mark Sloan
- Section of Hematology and Oncology, Department of Medicine, Boston University and Boston Medical Center, Boston, Mass
| | - Jeffrey Kalish
- Division of Vascular and Endovascular Surgery, Department of Surgery, Boston Medical Center, Boston, Mass.
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Willems SM, Cornes BK, Brody JA, Morrison AC, Lipovich L, Dauriz M, Chen Y, Liu CT, Rybin DV, Gibbs RA, Muzny D, Pankow JS, Psaty BM, Boerwinkle E, Rotter JI, Siscovick DS, Vasan RS, Kaplan RC, Isaacs A, Dupuis J, van Duijn CM, Meigs JB. Association of the IGF1 gene with fasting insulin levels. Eur J Hum Genet 2016; 24:1337-43. [PMID: 26860063 DOI: 10.1038/ejhg.2016.4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Revised: 11/30/2015] [Accepted: 12/22/2015] [Indexed: 12/29/2022] Open
Abstract
Insulin-like growth factor 1 (IGF-I) has been associated with insulin resistance. Genome-wide association studies (GWASs) of fasting insulin (FI) identified single-nucleotide variants (SNVs) near the IGF1 gene, raising two hypotheses: (1) these associations are mediated by IGF-I levels and (2) these noncoding variants either tag other functional variants in the region or are directly functional. In our study, analyses including 5141 individuals from population-based cohorts suggest that FI associations near IGF1 are not mediated by IGF-I. Analyses of targeted sequencing data in 3539 individuals reveal a large number of novel rare variants at the IGF1 locus and show a FI association with a subset of rare nonsynonymous variants (PSKAT=5.7 × 10(-4)). Conditional analyses suggest that this association is partly explained by the GWAS signal and the presence of a residual independent rare variant effect (Pconditional=0.019). Annotation using ENCODE data suggests that the GWAS variants may have a direct functional role in insulin biology. In conclusion, our study provides insight into variation present at the IGF1 locus and into the genetic architecture underlying FI levels, suggesting that FI associations of SNVs near IGF1 are not mediated by IGF-I and suggesting a role for both rare nonsynonymous and common functional variants in insulin biology.
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Affiliation(s)
- Sara M Willems
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Belinda K Cornes
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Alanna C Morrison
- School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Leonard Lipovich
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USA.,Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Marco Dauriz
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA.,Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Verona Medical School and Hospital Trust of Verona, Verona, Italy
| | - Yuning Chen
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Denis V Rybin
- Boston University Data Coordinating Center, Boston, MA, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, University of Texas Health Science Center, Houston, TX, USA
| | - Donna Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, University of Texas Health Science Center, Houston, TX, USA
| | - James S Pankow
- Division of Epidemiology and Community Health (J.S.P.), University of Minnesota, Minnesota, MN, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA.,Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - Eric Boerwinkle
- School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.,Human Genome Sequencing Center, Baylor College of Medicine, University of Texas Health Science Center, Houston, TX, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | | | - Ramachandran S Vasan
- Cardiology Section, Department of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, USA.,National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Aaron Isaacs
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Cornelia M van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - James B Meigs
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA
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Eslami MH, Zhu CK, Rybin DV, Doros G, Siracuse J, Farber A. Simple Predictive Model of Early Failure Among Patients Undergoing First Time Arteriovenous Fistula (AVF) Creation. J Vasc Surg 2015. [DOI: 10.1016/j.jvs.2015.07.008] [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: 11/24/2022]
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Eslami MH, Rybin DV, Doros G, Farber A. The Association of Publication of Center for Medicaid and Medicare Services Guidelines for Carotid Artery Angioplasty and Stenting (CAS) and CREST Results on the Utilization of CAS in Carotid Revascularization. Ann Vasc Surg 2015; 29:1606-13. [PMID: 26315795 DOI: 10.1016/j.avsg.2015.06.091] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2015] [Revised: 06/26/2015] [Accepted: 06/29/2015] [Indexed: 10/23/2022]
Abstract
BACKGROUND Since the 2004 approval of carotid artery angioplasty and stenting (CAS), there have been 2 seminal publications about CAS reimbursement (Center for Medicaid and Medicare Several guidelines [CMSG]; 2008) and clinical outcomes (Carotid Revascularization Endarterectomy versus Stent Trial [CREST]; 2010). We explored trends in CAS utilization after these publications nationally. METHODS The most recent datasets of the nationwide inpatient sample (NIS) was queried for patients undergoing carotid revascularization. Utilization proportions of CAS were calculated quarterly from 2005 to 2011 for NIS. Three-time intervals related to CMSG and CREST publication were selected 2005-2008, 2008-2010, and after 2010. Logistic regression with piecewise linear trend for time was used to estimate different trends in CAS utilization for overall samples and for neurologically asymptomatic and symptomatic cases. RESULTS The majority (95%) of the carotid revascularizations were performed on asymptomatic patients. Overall, CAS utilization constituted 12.5% of carotid revascularization procedures with a significant period increase of CAS; from 9.4% to 14%; P < 0.001. There was a small but significant decrease in the rate of CAS utilization after CMSG were published corresponding to a 2% decline in the odds ratio (OR) of CAS per quarter (OR, 0.98; 95% confidence interval, 0.97-0.99; P = 0.001). After CREST, CAS utilization continued to increase in both NIS but the rate of increase did not change significantly from the prepublication to the postpublication time interval. The odds of in-hospital mortality and postoperative stroke were independently and significantly higher for CAS patients in both overall and within the symptomatic cohorts. In all 3 periods of the study, and compared to carotid endarterectomy, the odds of mortality and postoperative stroke were significantly higher among patients who underwent CAS. CONCLUSIONS Although overall utilization of CAS increased since 2005, it was not uniformly associated by the publication of CMSG or CREST. Despite increased utilization, the odds of adverse outcomes were independently higher among CAS patients.
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Affiliation(s)
- Mohammad H Eslami
- Division of Vascular and Endovascular Surgery, Boston University School of Medicine, Boston, MA.
| | - Denis V Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Gheorghe Doros
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Alik Farber
- Division of Vascular and Endovascular Surgery, Boston University School of Medicine, Boston, MA
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Krafcik B, Rybin DV, Doros G, Farber A, Kalish J, Eslami MH, Siracuse JJ. The Role of Model of End-Stage Liver Disease (MELD) Score in Predicting Outcomes for Lower Extremity Bypass in Patients with Liver Disease. J Vasc Surg 2015. [DOI: 10.1016/j.jvs.2015.04.149] [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: 11/30/2022]
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Nzara R, Eslami MH, Farber A, Kalish J, Doros G, Rybin DV, Siracuse JJ. Perioperative Outcomes in Patients Requiring Direct Iliac Access With or Without Conduit for Endovascular Abdominal Aortic Aneurysm Repair. J Vasc Surg 2015. [DOI: 10.1016/j.jvs.2015.04.150] [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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33
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Eslami MH, Rybin DV, Doros G, Farber A. VESS10. Early Carotid Endarterectomy (CEA) Performed 2 to 5 Days After the Onset of Neurologic Symptoms Leads to Comparable Results to CEA Performed at Later Time Points. J Vasc Surg 2015. [DOI: 10.1016/j.jvs.2015.04.011] [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: 11/17/2022]
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Shah N, Sengupta A, Kalish J, Farber A, Eslami MH, Rybin DV, Doros G, Siracuse JJ. SS27. Occurrence of “Never Events” After Major Open Vascular Surgery Procedures. J Vasc Surg 2015. [DOI: 10.1016/j.jvs.2015.04.219] [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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Grossman NL, Fiack CA, Weinberg JM, Rybin DV, Farber HW. Pulmonary hypertension associated with heart failure with preserved ejection fraction: acute hemodynamic effects of inhaled iloprost. Pulm Circ 2015; 5:198-203. [PMID: 25992282 DOI: 10.1086/679725] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2014] [Accepted: 07/31/2014] [Indexed: 01/08/2023] Open
Abstract
Iloprost, an inhaled synthetic prostacyclin analogue, improves hemodynamic and clinical status with minimal systemic adversity in patients with pulmonary arterial hypertension. Our single-site, prospective case series aimed to determine the effects of iloprost in subjects with group 2 pulmonary hypertension and heart failure with preserved ejection fraction. Patients referred to Boston Medical Center for initial evaluation of suspected pulmonary hypertension received a test dose of 2.5 μg inhaled iloprost, followed by two subsequent doses of 5 μg. Hemodynamic measurements were recorded for each inhalation after 15, 30, 60, and 90 minutes. Results were analyzed via paired t test and signed-rank test. Eight subjects fulfilled criteria and elected to enter the study. There was a reduction of pulmonary arterial pressure (by an average of 7.0 mmHg [P = 0.005] and 4.7 mmHg [P = 0.021] with the first and second 5-μg inhalations, respectively) and pulmonary vascular resistance (by an average of 161.9 dyn·s/cm(5) [P = 0.019] and 95.0 dyn·s/cm(5) [P = 0.014] with the first and second 5-μg inhalations, respectively). There were trends for increased cardiac output and decreased oxygen saturation. There were no changes in other vital or hemodynamic parameters, including pulmonary capillary wedge pressure. All patients completed each cycle of iloprost administration without preestablished termination criteria. In patients with pulmonary hypertension and heart failure with preserved ejection fraction, inhaled iloprost resulted in acute reduction of pulmonary arterial pressure and pulmonary vascular resistance. Further evaluation of iloprost in this subset of patients is warranted.
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Affiliation(s)
- Nicole L Grossman
- Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Christopher A Fiack
- Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Janice M Weinberg
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Denis V Rybin
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Harrison W Farber
- Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, USA
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Shapiro-Mendoza CK, Colson ER, Willinger M, Rybin DV, Camperlengo L, Corwin MJ. Trends in infant bedding use: National Infant Sleep Position study, 1993-2010. Pediatrics 2015; 135:10-7. [PMID: 25452654 PMCID: PMC4279068 DOI: 10.1542/peds.2014-1793] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Use of potentially hazardous bedding, as defined by the American Academy of Pediatrics (eg, pillows, quilts, comforters, loose bedding), is a modifiable risk factor for sudden infant death syndrome and unintentional sleep-related suffocation. The proportion of US infants sleeping with these types of bedding is unknown. METHODS To investigate the US prevalence of and trends in bedding use, we analyzed 1993-2010 data from the National Infant Sleep Position study. Infants reported as being usually placed to sleep with blankets, quilts, pillows, and other similar materials under or covering them in the last 2 weeks were classified as bedding users. Logistic regression was used to describe characteristics associated with bedding use. RESULTS From 1993 to 2010, bedding use declined but remained a widespread practice (moving average of 85.9% in 1993-1995 to 54.7% in 2008-2010). Prevalence was highest for infants of teen-aged mothers (83.5%) and lowest for infants born at term (55.6%). Bedding use was also frequently reported among infants sleeping in adult beds, on their sides, and on a shared surface. The rate of decline in bedding use was markedly less from 2001-2010 compared with 1993-2000. For 2007 to 2010, the strongest predictors (adjusted odds ratio: ≥1.5) of bedding use were young maternal age, non-white race and ethnicity, and not being college educated. CONCLUSIONS Bedding use for infant sleep remains common despite recommendations against this practice. Understanding trends in bedding use is important for tailoring safe sleep interventions.
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Affiliation(s)
| | - Eve R. Colson
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut
| | - Marian Willinger
- Pregnancy and Perinatology Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Denis V. Rybin
- Data Coordinating Center, Boston University School of Public Health, Boston, Massachusetts; and
| | - Lena Camperlengo
- Division of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Michael J. Corwin
- Department of Pediatrics, Boston University School of Medicine, and Slone Epidemiology Center, Boston University, Boston, Massachusetts
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Berk JL, Suhr OB, Obici L, Sekijima Y, Zeldenrust SR, Yamashita T, Heneghan MA, Gorevic PD, Litchy WJ, Wiesman JF, Nordh E, Corato M, Lozza A, Cortese A, Robinson-Papp J, Colton T, Rybin DV, Bisbee AB, Ando Y, Ikeda SI, Seldin DC, Merlini G, Skinner M, Kelly JW, Dyck PJ. Repurposing diflunisal for familial amyloid polyneuropathy: a randomized clinical trial. JAMA 2013; 310:2658-67. [PMID: 24368466 PMCID: PMC4139164 DOI: 10.1001/jama.2013.283815] [Citation(s) in RCA: 483] [Impact Index Per Article: 43.9] [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: 01/01/2023]
Abstract
IMPORTANCE Familial amyloid polyneuropathy, a lethal genetic disease caused by aggregation of variant transthyretin, induces progressive peripheral nerve deficits and disability. Diflunisal, a nonsteroidal anti-inflammatory agent, stabilizes transthyretin tetramers and prevents amyloid fibril formation in vitro. OBJECTIVE To determine the effect of diflunisal on polyneuropathy progression in patients with familial amyloid polyneuropathy. DESIGN, SETTING, AND PARTICIPANTS International randomized, double-blind, placebo-controlled study conducted among 130 patients with familial amyloid polyneuropathy exhibiting clinically detectable peripheral or autonomic neuropathy at amyloid centers in Sweden (Umeå), Italy (Pavia), Japan (Matsumoto and Kumamoto), England (London), and the United States (Boston, Massachusetts; New York, New York; and Rochester, Minnesota) from 2006 through 2012. INTERVENTION Participants were randomly assigned to receive diflunisal, 250 mg (n=64), or placebo (n=66) twice daily for 2 years. MAIN OUTCOMES AND MEASURES The primary end point, the difference in polyneuropathy progression between treatments, was measured by the Neuropathy Impairment Score plus 7 nerve tests (NIS+7) which ranges from 0 (no neurological deficits) to 270 points (no detectable peripheral nerve function). Secondary outcomes included a quality-of-life questionnaire (36-Item Short-Form Health Survey [SF-36]) and modified body mass index. Because of attrition, we used likelihood-based modeling and multiple imputation analysis of baseline to 2-year data. RESULTS By multiple imputation, the NIS+7 score increased by 25.0 (95% CI, 18.4-31.6) points in the placebo group and by 8.7 (95% CI, 3.3-14.1) points in the diflunisal group, a difference of 16.3 points (95% CI, 8.1-24.5 points; P < .001). Mean SF-36 physical scores decreased by 4.9 (95% CI, -7.6 to -2.2) points in the placebo group and increased by 1.5 (95% CI, -0.8 to 3.7) points in the diflunisal group (P < .001). Mean SF-36 mental scores declined by 1.1 (95% CI, -4.3 to 2.0) points in the placebo group while increasing by 3.7 (95% CI, 1.0-6.4) points in the diflunisal group (P = .02). By responder analysis, 29.7% of the diflunisal group and 9.4% of the placebo group exhibited neurological stability at 2 years (<2-point increase in NIS+7 score; P = .007). CONCLUSIONS AND RELEVANCE Among patients with familial amyloid polyneuropathy, the use of diflunisal compared with placebo for 2 years reduced the rate of progression of neurological impairment and preserved quality of life. Although longer-term follow-up studies are needed, these findings suggest benefit of this treatment for familial amyloid polyneuropathy. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00294671.
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Affiliation(s)
- John L Berk
- Amyloidosis Center, Departments of Medicine and Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Ole B Suhr
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Laura Obici
- Amyloidosis Research and Treatment Center, Foundation IRCCS Policlinico San Matteo and Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Yoshiki Sekijima
- Department of Medicine, Shinshu University School of Medicine, Matsumoto, Japan
| | | | - Taro Yamashita
- Department of Neurology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Michael A Heneghan
- Institute of Liver Studies, King's College Hospital Foundation Trust, London, England
| | - Peter D Gorevic
- Departments of Medicine and Neurology, Mount Sinai School of Medicine, New York, New York
| | - William J Litchy
- Departments of Medicine and Neurology, Mayo Clinic, Rochester, Minnesota
| | - Janice F Wiesman
- Amyloidosis Center, Departments of Medicine and Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Erik Nordh
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | - Alessandro Lozza
- C. Mondino National Institute of Neurology, Foundation IRCCS, Pavia, Italy
| | - Andrea Cortese
- C. Mondino National Institute of Neurology, Foundation IRCCS, Pavia, Italy
| | - Jessica Robinson-Papp
- Departments of Medicine and Neurology, Mount Sinai School of Medicine, New York, New York
| | - Theodore Colton
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Denis V Rybin
- Data Coordinating Center, Boston University School of Public Health, Boston, Massachusetts
| | - Alice B Bisbee
- Data Coordinating Center, Boston University School of Public Health, Boston, Massachusetts
| | - Yukio Ando
- Department of Neurology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Shu-ichi Ikeda
- Department of Medicine, Shinshu University School of Medicine, Matsumoto, Japan
| | - David C Seldin
- Amyloidosis Center, Departments of Medicine and Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Giampaolo Merlini
- Amyloidosis Research and Treatment Center, Foundation IRCCS Policlinico San Matteo and Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Martha Skinner
- Amyloidosis Center, Departments of Medicine and Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Jeffery W Kelly
- Departments of Chemistry and Molecular and Experimental Medicine and Skaggs Institute of Chemical Biology, Scripps Research Institute, La Jolla, California
| | - Peter J Dyck
- Departments of Medicine and Neurology, Mayo Clinic, Rochester, Minnesota
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Lister G, Rybin DV, Colton T, Heeren TC, Hunt CE, Colson ER, Willinger M, Corwin MJ. Relationship between sleep position and risk of extreme cardiorespiratory events. J Pediatr 2012; 161:22-5.e1. [PMID: 22364822 PMCID: PMC3607104 DOI: 10.1016/j.jpeds.2012.01.035] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2011] [Revised: 11/04/2011] [Accepted: 01/17/2012] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To determine whether infants at sleep in the prone side positions are at higher risk for an extreme cardiorespiratory event compared with infants at sleep in the supine position. STUDY DESIGN We used a case-control study to compare sleep position, determined with an accelerometer, in 116 infants during an extreme cardiorespiratory event with that in 231 matched control subjects (2 per case) who did not experience any extreme events during monitoring. RESULTS From calculation of adjusted ORs and 95% CIs, infants placed in the prone or side position were no more likely to experience an extreme cardiorespiratory event compared with infants at sleep in the supine position. We used conditional logistic regression to account for the matched design of the study and to adjust for potential confounders or effect-modifiers. CONCLUSION These findings, coupled with our earlier observation that the peak incidence of severe cardiorespiratory events occurred before the peak incidence of sudden infant death syndrome, strongly suggest that the supine sleeping position decreases the risk of sudden infant death syndrome by mechanisms other than by decreasing extreme cardiorespiratory events detected by monitoring.
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Affiliation(s)
- George Lister
- Department of Pediatrics, UTSW Medical School, Dallas, TX 75390-9063, USA.
| | - Denis V. Rybin
- Department of Data Coordinating Center, Boston University School of Public Health, Boston, MA
| | - Theodore Colton
- Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Timothy C. Heeren
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Carl E. Hunt
- Department of Pediatrics, University of Toledo Health Sciences Center, Toledo, OH
| | - Eve R. Colson
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT
| | - Marian Willinger
- National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Michael J. Corwin
- Departments of Pediatrics and Epidemiology, Boston University Schools of Medicine and Public Health, Boston, MA
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Farber A, Tan TW, Kalish J, Hamburg NM, Eberhardt R, Doros G, Rybin DV, Goodney PP, Cronenwett JL. PVSS16. Perioperative Use of Dextran Is Associated with Cardiac Complications after Carotid Endarterectomy. J Vasc Surg 2012. [DOI: 10.1016/j.jvs.2012.03.057] [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: 11/30/2022]
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Von Kohorn I, Corwin MJ, Rybin DV, Heeren TC, Lister G, Colson ER. Influence of prior advice and beliefs of mothers on infant sleep position. Arch Pediatr Adolesc Med 2010; 164:363-9. [PMID: 20368490 PMCID: PMC2901910 DOI: 10.1001/archpediatrics.2010.26] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
OBJECTIVES To determine the relationship between the advice mothers receive about infant sleep position and the actual position they place their infants in to sleep and to understand modifiers of that relationship, especially beliefs about infant comfort and safety. DESIGN Cross-sectional, face-to-face interviews. SETTING Women, Infants, and Children centers in the United States from 2006 to 2008. PARTICIPANTS A total of 2299 predominantly African American mothers of infants younger than 8 months. MAIN EXPOSURE Advice received and beliefs about infant sleep position. OUTCOME MEASURE Usually supine infant sleep position. RESULTS Advice for exclusively supine infant sleep position from family (OR, 1.6; 95% CI, 1.17-2.17), doctors (OR, 2.28; 95% CI, 1.77-2.93), nurses (OR, 1.46; 95% CI, 1.15-1.84), or the media (OR, 1.54; 95% CI, 1.22-1.95) was associated with usually placing an infant supine to sleep. Additional sources of advice for exclusively supine position significantly increase the odds that an infant will be placed supine. Mothers who believe an infant is comfortable supine are more likely to place their infants on their backs to sleep (OR, 4.05; 95% CI, 2.51-6.53). Mothers who believe an infant will choke on its back are less likely to place their infants supine (OR, 0.36; 95% CI, 0.24-0.54). CONCLUSION Among predominantly African American mothers, increasing advice for exclusively supine sleep and addressing concerns about infant comfort and choking remain critical to getting more infants on their back to sleep.
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