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Kang S, Yeon B, Kim MS, Yoo M, Kim B, Yu YM. Aneurysm and Artery Dissection After Oral VEGFR-TKI Use in Adults With Cancer. JAMA Netw Open 2023; 6:e2345977. [PMID: 38019511 PMCID: PMC10687660 DOI: 10.1001/jamanetworkopen.2023.45977] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 10/23/2023] [Indexed: 11/30/2023] Open
Abstract
Importance The association of tyrosine kinase inhibitors targeting vascular endothelial growth factor receptors (VEGFR-TKIs) with aneurysm and artery dissection (AAD) has been frequently reported in spontaneous reporting databases. Objective To investigate the risk and incidence of AAD occurrence in patients with cancer treated with oral VEGFR-TKIs, with capecitabine as an active comparator. Design, Setting, and Participants This national, historical cohort study was conducted using national claims data from the National Health Insurance Service in Korea from 2007 to 2020, with a 1-year follow-up. Patients with cancer aged 40 years or older prescribed oral VEGFR-TKIs or capecitabine were enrolled. Data were analyzed from September 2022 through April 2023. Exposure Oral VEGFR-TKIs (sorafenib, regorafenib, vandetanib, sunitinib, lenvatinib, axitinib, and pazopanib) or capecitabine as a comparator. Main Outcomes and Measures Hazard ratios (HRs) were used to investigate the association between VEGFR-TKI use and AAD after propensity score matching. The primary outcome was AAD, and secondary outcomes were aortic aneurysm and dissection and AAD with rupture. Outcomes were defined using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnosis codes. Results Among 127 710 patients with cancer eligible for the study (80 386 males [62.9%]; mean [SD] age, 62.6 [10.9] years), 37 308 patients received VEGFR-TKIs and 90 402 patients received capecitabine. Among 27 535 matched patients receiving VEGFR-TKIs, the incidence of AAD within 1 year of treatment initiation was 6.0 per 1000 person-years. The median (IQR) time to AAD onset in the matched AAD group was 114 (67-257) days after treatment initiation, with the highest incidence observed during the first 3 months (45 incidents vs 31, 17, and 16 incidents during 3- to 6-month, 6- to 9-month, and 9- to 12-month periods, respectively). Cox regression modeling showed that the risk of AAD occurrence was significantly higher among patients prescribed VEGFR-TKIs than those receiving capecitabine (HR, 1.48; 95% CI, 1.08-2.02); similar results were obtained among females (HR, 2.08; 95% CI, 1.26-3.42), older adults (aged ≥65 years; HR, 1.42; 95% CI, 1.01-1.99), and patients with dyslipidemia (HR, 1.58; 95% CI, 1.11-2.24). Conclusions and Relevance In this study, the use of oral VEGFR-TKIs was associated with an increased risk of AAD occurrence. These findings elucidate vascular toxic effects and may provide a substantial reference for reducing the socioeconomic burden of adverse events associated with VEGFR-TKI use.
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Affiliation(s)
- Soyoung Kang
- Department of Drug Safety Information, Korea Institute of Drug Safety and Risk Management, Gyeonggi-do, Republic of Korea
| | - Bora Yeon
- Department of Drug Safety Information, Korea Institute of Drug Safety and Risk Management, Gyeonggi-do, Republic of Korea
| | - Myo-Song Kim
- Department of Drug Safety Information, Korea Institute of Drug Safety and Risk Management, Gyeonggi-do, Republic of Korea
| | - Myungsik Yoo
- Department of Drug Safety Information, Korea Institute of Drug Safety and Risk Management, Gyeonggi-do, Republic of Korea
| | - Bonggi Kim
- Department of Drug Safety Information, Korea Institute of Drug Safety and Risk Management, Gyeonggi-do, Republic of Korea
| | - Yun Mi Yu
- Department of Pharmacy and Yonsei Institute of Pharmaceutical Sciences, College of Pharmacy, Yonsei University, Incheon, Republic of Korea
- Department of Pharmaceutical Medicine and Regulatory Sciences, College of Pharmacy, Yonsei University, Incheon, Republic of Korea
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2
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Szilágyi B, Berczeli M, Lovas A, Oláh Z, Törő K, Sótonyi P. The effects of changing meteorological parameters on fatal aortic catastrophes. BMC Cardiovasc Disord 2020; 20:291. [PMID: 32534566 PMCID: PMC7293115 DOI: 10.1186/s12872-020-01575-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 06/03/2020] [Indexed: 12/05/2022] Open
Abstract
Background Over the span of the last decade, medical research has been increasingly putting greater emphasis on the study of meteorological parameters due to their connection to cardiovascular diseases. The main goal of this study was to explore the relationship between fatal aortic catastrophes and changes in atmospheric pressure and temperature. Methods We used a Cox process model to quantify the effects of environmental factors on sudden deaths resulting from aortic catastrophes. We used transfer entropy to draw conclusion about the causal connection between mortality and meteorological parameters. Our main tool was a computer program which we developed earlier in order to evaluate the relationship between pulmonary embolism mortality and weather on data sets comprised of aortic aneurysm (AA) and acute aortic dissection (AAD) cases, where one of these two medical conditions had led to fatal rupture of the aorta. Our source for these cases were the autopsy databases of Semmelweis University, from the time period of 1994 to 2014. We have examined 160 aneurysm and 130 dissection cases in relation to changes in meteorological parameters. The algorythm implemented in our program is based on a non-parametric a Cox process model. It is capable of splitting slowly varying unknown global trends from fluctuations potentially caused by weather. Furthermore, it allows us to explore complex non-linear interactions between meteorological parameters and mortality. Results Model measures the relative growth of the expected number of events on the nth day caused by the deviation of environmental parameters from its mean value. The connection between ruptured aortic aneurysms (rAA) and changes in atmospheric pressure is more significant than their connection with mean daily temperatures. With an increase in atmospheric pressure, the rate of rAA mortality also increased. The effects of meteorological parameters were weaker for deaths resulting from acute aortic dissections (AAD), although low mean daily temperatures increased the intensity of occurrence for AAD-related deaths. Conclusion The occurrence rate of fatal aortic catastrophes showed a slight dependence on the two examined parameters within our groups.
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Affiliation(s)
- Brigitta Szilágyi
- Institute of Mathematics, Budapest University of Technology and Economics, 3 Műegyetem rakpart, Budapest, 1111, Hungary.
| | - Márton Berczeli
- Heart and Vascular Center, Department of Vascular Surgery, Semmelweis University, 68 Városmajor street, Budapest, 1122, Hungary
| | - Attila Lovas
- Institute of Mathematics, Budapest University of Technology and Economics, 3 Műegyetem rakpart, Budapest, 1111, Hungary
| | - Zoltán Oláh
- Heart and Vascular Center, Department of Vascular Surgery, Semmelweis University, 68 Városmajor street, Budapest, 1122, Hungary
| | - Klára Törő
- Department of Forensic Medicine, Semmelweis University, 93 Üllői road, Budapest, 1093, Hungary
| | - Péter Sótonyi
- Heart and Vascular Center, Department of Vascular Surgery, Semmelweis University, 68 Városmajor street, Budapest, 1122, Hungary
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Kordbacheh Changi K, Finkelstein J, Papapanou PN. Peri‐implantitis prevalence, incidence rate, and risk factors: A study of electronic health records at a U.S. dental school. Clin Oral Implants Res 2019; 30:306-314. [DOI: 10.1111/clr.13416] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 12/27/2018] [Accepted: 01/10/2019] [Indexed: 02/06/2023]
Affiliation(s)
- Khashayar Kordbacheh Changi
- Division of Periodontics, Section of Oral, Diagnostic and Rehabilitation Sciences Columbia University College of Dental Medicine New York City New York
| | - Joseph Finkelstein
- Center for Bioinformatics and Data Analytics in Oral Health Columbia University College of Dental Medicine New York City New York
| | - Panos N. Papapanou
- Division of Periodontics, Section of Oral, Diagnostic and Rehabilitation Sciences Columbia University College of Dental Medicine New York City New York
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4
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Lin YT, Chen HJ, Chen PC, Sung FC. Increased Risk of Peripheral Arterial Disease in Patients With Abdominal Aortic Aneurysm: A Retrospective Cohort Study (Version 5). Angiology 2018; 70:41-46. [PMID: 29444589 DOI: 10.1177/0003319718757615] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Studies evaluating the risk of peripheral arterial disease (PAD) in patients with abdominal aortic aneurysm (AAA) are limited. We used insurance claims data of Taiwan to establish a cohort of 6590 patients with AAA newly diagnosed from 2000 to 2008 and 6590 controls without AAA matched by propensity score. The subsequent incidence density rates of PAD were estimated in both cohorts by the end of 2011, and the AAA cohort to the non-AAA cohort hazard ratios (HRs) of PAD were calculated using Cox proportional hazards models. The incidence density of PAD in the AAA cohort was 3.7-fold greater than that in the non-AAA cohort (14.1 vs 3.66 per 1000 person-years) with an adjusted HR of 3.56 (95% confidence interval [CI] = 2.89-4.39). For those without comorbidities, PAD in the AAA cohort was 7.4-fold greater than that in the non-AAA cohort (12.0 vs 1.61 per 1000 person-years) with an adjusted HR of 6.70 (95% CI = 4.43-10.1). The incidence of PAD in patients with ruptured AAA was lower than that in patients without rupture (6.95 vs 15.0 per 1000 person-years). This study demonstrates that patients with AAA are at increased risk of developing PAD.
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Affiliation(s)
- Yi-Ting Lin
- 1 Department of Emergency Medicine, Taichung Hospital, Ministry of Health and Welfare, Taichung, Taiwan
| | - Hsuan-Ju Chen
- 2 Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Pei-Chun Chen
- 2 Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan.,3 Department of Public Health, China Medical University, Taichung, Taiwan
| | - Fung-Chang Sung
- 2 Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan.,4 Graduate Institute of Clinical Medical Science, College of Medicine, China Medical University, Taichung, Taiwan.,5 Department of Health Services Administration, China Medical University, Taichung, Taiwan
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5
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Ericsson A, Holst J, Gottsäter A, Zarrouk M, Kumlien C. Psychosocial consequences in men taking part in a national screening program for abdominal aortic aneurysm. JOURNAL OF VASCULAR NURSING 2017; 35:211-220. [PMID: 29153229 DOI: 10.1016/j.jvn.2017.06.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2017] [Revised: 06/19/2017] [Accepted: 06/23/2017] [Indexed: 10/19/2022]
Abstract
Screening for abdominal aortic aneurysm (AAA) has proven to reduce AAA-related mortality, but how the knowledge of having an untreated AAA affects health and daily life requires further clarification. The aim was to investigate the psychosocial consequences and sense of coherence (SOC) in 65-year-old men diagnosed with AAA and participating in a national screening program during a 6-month follow-up compared with men with no AAA. The single-center cohort study included 52 men with AAA and 118 men without AAA. A questionnaire including the Short Form 36 Health Survey, Hospital Anxiety and Depression Scale, SOC, questions concerning stress, and questions related to AAA were answered at baseline and after 6 months. Men with AAA reported more problems with physical functioning, pain, and general health than men with a normal aorta at baseline. After 6 months, men with AAA still reported more problems with physical functioning and stress in relation to disease than men with normal aortic diameter. No differences were observed between groups in SOC, anxiety, and depression. A significantly higher satisfaction with information from the physician and desire to learn about the AAA diagnosis was reported at baseline compared with that at follow-up. Having knowledge about the AAA diagnosis may moderately impact physical health and perceived stress, and in combination with the increased prevalence of other cardiovascular diseases, may lead to impaired perceived health for men diagnosed with AAA.
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Affiliation(s)
- Anna Ericsson
- Department of Care Science, Malmö University, Malmö, Sweden.
| | - Jan Holst
- Department of Cardiothoracic and Vascular Surgery, Skåne University Hospital, Malmö, Sweden
| | - Anders Gottsäter
- Department of Cardiothoracic and Vascular Surgery, Skåne University Hospital, Malmö, Sweden
| | - Moncef Zarrouk
- Department of Cardiothoracic and Vascular Surgery, Skåne University Hospital, Malmö, Sweden
| | - Christine Kumlien
- Department of Care Science, Malmö University, Malmö, Sweden; Department of Cardiothoracic and Vascular Surgery, Skåne University Hospital, Malmö, Sweden
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6
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Abdominal aortic aneurysm screening program using hand-held ultrasound in primary healthcare. PLoS One 2017; 12:e0176877. [PMID: 28453577 PMCID: PMC5409053 DOI: 10.1371/journal.pone.0176877] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 04/18/2017] [Indexed: 12/18/2022] Open
Abstract
We determined the feasibility of abdominal aortic aneurysm (AAA) screening program led by family physicians in public primary healthcare setting using hand-held ultrasound device. The potential study population was 11,214 men aged ≥ 60 years attended by three urban, public primary healthcare centers. Participants were recruited by randomly-selected telephone calls. Ultrasound examinations were performed by four trained family physicians with a hand-held ultrasound device (Vscan®). AAA observed were verified by confirmatory imaging using standard ultrasound or computed tomography. Cardiovascular risk factors were determined. The prevalence of AAA was computed as the sum of previously-known aneurysms, aneurysms detected by the screening program and model-based estimated undiagnosed aneurysms. We screened 1,010 men, with mean age of 71.3 (SD 6.9) years; 995 (98.5%) men had normal aortas and 15 (1.5%) had AAA on Vscan®. Eleven out of 14 AAA-cases (78.6%) had AAA on confirmatory imaging (one patient died). The total prevalence of AAA was 2.49% (95%CI 2.20 to 2.78). The median aortic diameter at diagnosis was 3.5 cm in screened patients and 4.7 cm (p<0.001) in patients in whom AAA was diagnosed incidentally. Multivariate logistic regression analysis identified coronary heart disease (OR = 4.6, 95%CI 1.3 to 15.9) as the independent factor with the highest odds ratio. A screening program led by trained family physicians using hand-held ultrasound was a feasible, safe and reliable tool for the early detection of AAA.
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7
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Shan Y, Tromp G, Kuivaniemi H, Smelser DT, Verma SS, Ritchie MD, Elmore JR, Carey DJ, Conley YP, Gorin MB, Weeks DE. Genetic risk models: Influence of model size on risk estimates and precision. Genet Epidemiol 2017; 41:282-296. [PMID: 28198095 DOI: 10.1002/gepi.22035] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 11/08/2016] [Accepted: 12/01/2016] [Indexed: 12/11/2022]
Abstract
Disease risk estimation plays an important role in disease prevention. Many studies have found that the ability to predict risk improves as the number of risk single-nucleotide polymorphisms (SNPs) in the risk model increases. However, the width of the confidence interval of the risk estimate is often not considered in the evaluation of the risk model. Here, we explore how the risk and the confidence interval width change as more SNPs are added to the model in the order of decreasing effect size, using both simulated data and real data from studies of abdominal aortic aneurysms and age-related macular degeneration. Our results show that confidence interval width is positively correlated with model size and the majority of the bigger models have wider confidence interval widths than smaller models. Once the model size is bigger than a certain level, the risk does not shift markedly, as 100% of the risk estimates of the one-SNP-bigger models lie inside the confidence interval of the one-SNP-smaller models. We also created a confidence interval-augmented reclassification table. It shows that both more effective SNPs with larger odds ratios and less effective SNPs with smaller odds ratios contribute to the correct decision of whom to screen. The best screening strategy is selected and evaluated by the net benefit quantity and the reclassification rate. We suggest that individuals whose upper bound of their risk confidence interval is above the screening threshold, which corresponds to the population prevalence of the disease, should be screened.
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Affiliation(s)
- Ying Shan
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Gerard Tromp
- The Sigfried and Janet Weis Center for Research, Geisinger Health System, Danville, Pennsylvania, United States of America.,Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Helena Kuivaniemi
- The Sigfried and Janet Weis Center for Research, Geisinger Health System, Danville, Pennsylvania, United States of America.,Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Diane T Smelser
- The Sigfried and Janet Weis Center for Research, Geisinger Health System, Danville, Pennsylvania, United States of America
| | - Shefali S Verma
- Department of Biomedical and Translational Informatics, Geisinger Health System, Danville, Pennsylvania, United States of America
| | - Marylyn D Ritchie
- Department of Biomedical and Translational Informatics, Geisinger Health System, Danville, Pennsylvania, United States of America
| | - James R Elmore
- Department of Vascular and Endovascular Surgery, Geisinger Health System, Danville, PA
| | - David J Carey
- The Sigfried and Janet Weis Center for Research, Geisinger Health System, Danville, Pennsylvania, United States of America
| | - Yvette P Conley
- Department of Health Promotion and Development, School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.,Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Michael B Gorin
- Departments of Ophthalmology and Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, United States of America.,Stein Eye Institute, Los Angeles, California, United States of America
| | - Daniel E Weeks
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.,Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
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8
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Jones GT, Tromp G, Kuivaniemi H, Gretarsdottir S, Baas AF, Giusti B, Strauss E, Van't Hof FNG, Webb TR, Erdman R, Ritchie MD, Elmore JR, Verma A, Pendergrass S, Kullo IJ, Ye Z, Peissig PL, Gottesman O, Verma SS, Malinowski J, Rasmussen-Torvik LJ, Borthwick KM, Smelser DT, Crosslin DR, de Andrade M, Ryer EJ, McCarty CA, Böttinger EP, Pacheco JA, Crawford DC, Carrell DS, Gerhard GS, Franklin DP, Carey DJ, Phillips VL, Williams MJA, Wei W, Blair R, Hill AA, Vasudevan TM, Lewis DR, Thomson IA, Krysa J, Hill GB, Roake J, Merriman TR, Oszkinis G, Galora S, Saracini C, Abbate R, Pulli R, Pratesi C, Saratzis A, Verissimo AR, Bumpstead S, Badger SA, Clough RE, Cockerill G, Hafez H, Scott DJA, Futers TS, Romaine SPR, Bridge K, Griffin KJ, Bailey MA, Smith A, Thompson MM, van Bockxmeer FM, Matthiasson SE, Thorleifsson G, Thorsteinsdottir U, Blankensteijn JD, Teijink JAW, Wijmenga C, de Graaf J, Kiemeney LA, Lindholt JS, Hughes A, Bradley DT, Stirrups K, Golledge J, Norman PE, Powell JT, Humphries SE, Hamby SE, Goodall AH, Nelson CP, Sakalihasan N, Courtois A, Ferrell RE, Eriksson P, Folkersen L, Franco-Cereceda A, Eicher JD, Johnson AD, Betsholtz C, Ruusalepp A, Franzén O, Schadt EE, Björkegren JLM, Lipovich L, Drolet AM, Verhoeven EL, Zeebregts CJ, Geelkerken RH, van Sambeek MR, van Sterkenburg SM, de Vries JP, Stefansson K, Thompson JR, de Bakker PIW, Deloukas P, Sayers RD, Harrison SC, van Rij AM, Samani NJ, Bown MJ. Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci. Circ Res 2016; 120:341-353. [PMID: 27899403 PMCID: PMC5253231 DOI: 10.1161/circresaha.116.308765] [Citation(s) in RCA: 144] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Revised: 10/28/2016] [Accepted: 11/21/2016] [Indexed: 02/06/2023]
Abstract
Supplemental Digital Content is available in the text. Rationale: Abdominal aortic aneurysm (AAA) is a complex disease with both genetic and environmental risk factors. Together, 6 previously identified risk loci only explain a small proportion of the heritability of AAA. Objective: To identify additional AAA risk loci using data from all available genome-wide association studies. Methods and Results: Through a meta-analysis of 6 genome-wide association study data sets and a validation study totaling 10 204 cases and 107 766 controls, we identified 4 new AAA risk loci: 1q32.3 (SMYD2), 13q12.11 (LINC00540), 20q13.12 (near PCIF1/MMP9/ZNF335), and 21q22.2 (ERG). In various database searches, we observed no new associations between the lead AAA single nucleotide polymorphisms and coronary artery disease, blood pressure, lipids, or diabetes mellitus. Network analyses identified ERG, IL6R, and LDLR as modifiers of MMP9, with a direct interaction between ERG and MMP9. Conclusions: The 4 new risk loci for AAA seem to be specific for AAA compared with other cardiovascular diseases and related traits suggesting that traditional cardiovascular risk factor management may only have limited value in preventing the progression of aneurysmal disease.
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Affiliation(s)
| | - Gerard Tromp
- For the author affiliations, please see the Appendix
| | | | | | | | - Betti Giusti
- For the author affiliations, please see the Appendix
| | - Ewa Strauss
- For the author affiliations, please see the Appendix
| | | | - Thomas R Webb
- For the author affiliations, please see the Appendix
| | - Robert Erdman
- For the author affiliations, please see the Appendix
| | | | | | - Anurag Verma
- For the author affiliations, please see the Appendix
| | | | | | - Zi Ye
- For the author affiliations, please see the Appendix
| | | | | | | | | | | | | | | | | | | | - Evan J Ryer
- For the author affiliations, please see the Appendix
| | | | | | | | | | | | | | | | - David J Carey
- For the author affiliations, please see the Appendix
| | | | | | - Wenhua Wei
- For the author affiliations, please see the Appendix
| | - Ross Blair
- For the author affiliations, please see the Appendix
| | - Andrew A Hill
- For the author affiliations, please see the Appendix
| | | | - David R Lewis
- For the author affiliations, please see the Appendix
| | - Ian A Thomson
- For the author affiliations, please see the Appendix
| | - Jo Krysa
- For the author affiliations, please see the Appendix
| | | | - Justin Roake
- For the author affiliations, please see the Appendix
| | | | | | - Silvia Galora
- For the author affiliations, please see the Appendix
| | | | | | | | - Carlo Pratesi
- For the author affiliations, please see the Appendix
| | | | | | | | | | | | | | - Hany Hafez
- For the author affiliations, please see the Appendix
| | | | | | | | | | | | - Marc A Bailey
- For the author affiliations, please see the Appendix
| | - Alberto Smith
- For the author affiliations, please see the Appendix
| | | | | | | | | | | | | | | | | | | | | | | | - Anne Hughes
- For the author affiliations, please see the Appendix
| | | | | | | | - Paul E Norman
- For the author affiliations, please see the Appendix
| | | | | | | | | | | | | | | | | | - Per Eriksson
- For the author affiliations, please see the Appendix
| | | | | | - John D Eicher
- For the author affiliations, please see the Appendix
| | | | | | | | - Oscar Franzén
- For the author affiliations, please see the Appendix
| | - Eric E Schadt
- For the author affiliations, please see the Appendix
| | | | | | - Anne M Drolet
- For the author affiliations, please see the Appendix
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9
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Takeuchi H, Okuyama M, Uchida HA, Kakio Y, Umebayashi R, Okuyama Y, Fujii Y, Ozawa S, Yoshida M, Oshima Y, Sano S, Wada J. Chronic Kidney Disease Is Positively and Diabetes Mellitus Is Negatively Associated with Abdominal Aortic Aneurysm. PLoS One 2016; 11:e0164015. [PMID: 27764090 PMCID: PMC5072712 DOI: 10.1371/journal.pone.0164015] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 09/19/2016] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND AND AIMS Chronic kidney disease (CKD) and diabetes mellitus (DM) are considered as risk factors for cardiovascular diseases. The purpose of this study was to clarify the relationship of CKD and DM with the presence of abdominal aortic aneurysm (AAA). METHODS We enrolled 261 patients with AAA (AAA+) and age-and-sex matched 261 patients without AAA (AAA-) at two hospitals between 2008 and 2014, and examined the association between the risk factors and the presence of AAA. Furthermore, in order to investigate the prevalence of AAA in each group, we enrolled 1126 patients with CKD and 400 patients with DM. RESULTS The presence of CKD in patients with AAA+ was significantly higher than that in patients with AAA- (AAA+; 65%, AAA-; 52%, P = 0.004). The presence of DM in patients with AAA+ was significantly lower than that in patients with AAA- (AAA+; 17%, AAA-; 35%, P < 0.001). A multivariate logistic regression analysis demonstrated that hypertension, ischemic heart disease and CKD were independent determinants, whereas, DM was a negatively independent determinant, for the presence of AAA. The prevalence of AAA in patients with CKD 65 years old and above was 5.1%, whereas, that in patients with DM 65 years old and above was only 0.6%. CONCLUSION CKD is a positively associated with the presence of AAA. In contrast, DM is a negatively associated with the presence of AAA in Japanese population.
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Affiliation(s)
- Hidemi Takeuchi
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Michihiro Okuyama
- Department of Cardiovascular Surgery, Okayama University Hospital, Okayama, Japan
| | - Haruhito A. Uchida
- Department of Chronic Kidney Disease and Cardiovascular Disease, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Yuki Kakio
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Ryoko Umebayashi
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Yuka Okuyama
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Yasuhiro Fujii
- Department of Cardiovascular Surgery, Okayama University Hospital, Okayama, Japan
| | - Susumu Ozawa
- Department of Cardiovascular Surgery, Okayama University Hospital, Okayama, Japan
| | - Masashi Yoshida
- Department of Chronic Kidney Disease and Cardiovascular Disease, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Yu Oshima
- Department of Cardiovascular Surgery, Kure Kyosai Hospital, Hiroshima, Japan
| | - Shunji Sano
- Department of Cardiovascular Surgery, Okayama University Hospital, Okayama, Japan
| | - Jun Wada
- Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
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van 't Hof FNG, Ruigrok YM, Lee CH, Ripke S, Anderson G, de Andrade M, Baas AF, Blankensteijn JD, Böttinger EP, Bown MJ, Broderick J, Bijlenga P, Carrell DS, Crawford DC, Crosslin DR, Ebeling C, Eriksson JG, Fornage M, Foroud T, von Und Zu Fraunberg M, Friedrich CM, Gaál EI, Gottesman O, Guo DC, Harrison SC, Hernesniemi J, Hofman A, Inoue I, Jääskeläinen JE, Jones GT, Kiemeney LALM, Kivisaari R, Ko N, Koskinen S, Kubo M, Kullo IJ, Kuivaniemi H, Kurki MI, Laakso A, Lai D, Leal SM, Lehto H, LeMaire SA, Low SK, Malinowski J, McCarty CA, Milewicz DM, Mosley TH, Nakamura Y, Nakaoka H, Niemelä M, Pacheco J, Peissig PL, Pera J, Rasmussen-Torvik L, Ritchie MD, Rivadeneira F, van Rij AM, Santos-Cortez RLP, Saratzis A, Slowik A, Takahashi A, Tromp G, Uitterlinden AG, Verma SS, Vermeulen SH, Wang GT, Han B, Rinkel GJE, de Bakker PIW. Shared Genetic Risk Factors of Intracranial, Abdominal, and Thoracic Aneurysms. J Am Heart Assoc 2016; 5:e002603. [PMID: 27418160 PMCID: PMC5015357 DOI: 10.1161/jaha.115.002603] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Accepted: 03/16/2016] [Indexed: 01/22/2023]
Abstract
BACKGROUND Intracranial aneurysms (IAs), abdominal aortic aneurysms (AAAs), and thoracic aortic aneurysms (TAAs) all have a familial predisposition. Given that aneurysm types are known to co-occur, we hypothesized that there may be shared genetic risk factors for IAs, AAAs, and TAAs. METHODS AND RESULTS We performed a mega-analysis of 1000 Genomes Project-imputed genome-wide association study (GWAS) data of 4 previously published aneurysm cohorts: 2 IA cohorts (in total 1516 cases, 4305 controls), 1 AAA cohort (818 cases, 3004 controls), and 1 TAA cohort (760 cases, 2212 controls), and observed associations of 4 known IA, AAA, and/or TAA risk loci (9p21, 18q11, 15q21, and 2q33) with consistent effect directions in all 4 cohorts. We calculated polygenic scores based on IA-, AAA-, and TAA-associated SNPs and tested these scores for association to case-control status in the other aneurysm cohorts; this revealed no shared polygenic effects. Similarly, linkage disequilibrium-score regression analyses did not show significant correlations between any pair of aneurysm subtypes. Last, we evaluated the evidence for 14 previously published aneurysm risk single-nucleotide polymorphisms through collaboration in extended aneurysm cohorts, with a total of 6548 cases and 16 843 controls (IA) and 4391 cases and 37 904 controls (AAA), and found nominally significant associations for IA risk locus 18q11 near RBBP8 to AAA (odds ratio [OR]=1.11; P=4.1×10(-5)) and for TAA risk locus 15q21 near FBN1 to AAA (OR=1.07; P=1.1×10(-3)). CONCLUSIONS Although there was no evidence for polygenic overlap between IAs, AAAs, and TAAs, we found nominally significant effects of two established risk loci for IAs and TAAs in AAAs. These two loci will require further replication.
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Affiliation(s)
- Femke N G van 't Hof
- Utrecht Stroke Center, Department of Neurology and Neurosurgery, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ynte M Ruigrok
- Utrecht Stroke Center, Department of Neurology and Neurosurgery, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Cue Hyunkyu Lee
- Department of Convergence Medicine, University of Ulsan College of Medicine and Asan Institute for Life Sciences Asan Medical Center, Seoul, Korea Department of Neurosurgery, Helsinki University Central Hospital, Helsinki, Finland
| | - Stephan Ripke
- Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA Department of Psychiatry and Psychotherapy, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Graig Anderson
- The George Institute for International Health, University of Sydney, Australia
| | | | - Annette F Baas
- Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jan D Blankensteijn
- Department of Vascular Surgery, VU Medical Center, Amsterdam, The Netherlands
| | - Erwin P Böttinger
- Icahn School of Medicine Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY
| | - Matthew J Bown
- Department of Cardiovascular Sciences and the NIHR Leicester Cardiovascular Biomedical Research Unit, University of Leicester, United Kingdom
| | - Joseph Broderick
- Department of Neurology, University of Cincinnati School of Medicine, Cincinnati, OH
| | - Philippe Bijlenga
- Hôpitaux Universitaire de Genève et Faculté de médecine de Genève, Geneva, Switzerland
| | | | - Dana C Crawford
- Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH Center for Human Genetics Research, Vanderbilt University, Nashville, TN
| | - David R Crosslin
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA
| | - Christian Ebeling
- Fraunhofer Institut Algorithmen und Wissenschaftliches Rechnen, Sankt Augustin, Germany
| | - Johan G Eriksson
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland Folkhälsan Research Center, Helsinki, Finland Department of General Practice and Primary Health Care, and Helsinki University Hospital, University of Helsinki, Finland
| | - Myriam Fornage
- Human Genetics Center and Institute of Molecular Medicine, University of Texas Health Science Center, Houston, TX
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | | | - Christoph M Friedrich
- Department of Computer Science, University of Applied Science and Arts, Dortmund, Germany
| | - Emília I Gaál
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland Public Health Genomics Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland Department of Neurosurgery, Helsinki University Central Hospital, Helsinki, Finland
| | - Omri Gottesman
- Icahn School of Medicine Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY
| | - Dong-Chuan Guo
- Department of Internal Medicine, The University of Texas Medical School at Houston, TX
| | - Seamus C Harrison
- Department of Cardiovascular Science, University of Leicester, United Kingdom
| | - Juha Hernesniemi
- Department of Neurosurgery, Helsinki University Central Hospital, Helsinki, Finland
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ituro Inoue
- Division of Human Genetics, National Institute of Genetics, Mishima, Japan
| | | | - Gregory T Jones
- Surgery Department, University of Otago, Dunedin, New Zealand
| | - Lambertus A L M Kiemeney
- Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Riku Kivisaari
- Department of Neurosurgery, Helsinki University Central Hospital, Helsinki, Finland
| | - Nerissa Ko
- Department of Neurology, University of California, San Francisco, CA
| | - Seppo Koskinen
- Department of Health, Functional Capacity and Welfare, National Institute for Health and Welfare, Helsinki, Finland
| | - Michiaki Kubo
- Center for Integrative Medical Sciences, RIKEN, Kanagawa, Japan
| | | | - Helena Kuivaniemi
- Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands The Sigfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA Department of Surgery, Temple University School of Medicine, Philadelphia, PA Department of Biomedical Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Mitja I Kurki
- Neurosurgery of NeuroCenter, Kuopio University Hospital, Kuopio, Finland Center for Human Genetics Research, Massachusetts General Hospital, Boston, MA Medical and Population Genetics Program, Broad Institute, Boston, MA
| | - Aki Laakso
- Public Health Genomics Unit, Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Suzanne M Leal
- Center for Statistical Genetics, Baylor College of Medicine, Houston, TX
| | - Hanna Lehto
- Department of Neurosurgery, Helsinki University Central Hospital, Helsinki, Finland
| | - Scott A LeMaire
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine and the Texas Heart Institute, Houston, TX
| | - Siew-Kee Low
- Center for Integrative Medical Sciences, RIKEN, Kanagawa, Japan
| | - Jennifer Malinowski
- Center for Human Genetics Research, Vanderbilt University, Nashville, TN Department of Surgery, Yale School of Medicine, New Haven, CT
| | | | - Dianna M Milewicz
- Department of Internal Medicine, The University of Texas Medical School at Houston, TX
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - Yusuke Nakamura
- Section of Hematology and Oncology, Department of Medicine, University of Chicago, IL
| | - Hirofumi Nakaoka
- Division of Human Genetics, National Institute of Genetics, Mishima, Japan
| | - Mika Niemelä
- Department of Neurosurgery, Helsinki University Central Hospital, Helsinki, Finland
| | - Jennifer Pacheco
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Peggy L Peissig
- Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI
| | - Joanna Pera
- Department of Neurology, Jagiellonian University, Krakow, Poland
| | - Laura Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Marylyn D Ritchie
- Center for Systems Genomics, The Pennsylvania State University, Pennsylvania, PA
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Andre M van Rij
- Surgery Department, University of Otago, Dunedin, New Zealand
| | | | - Athanasios Saratzis
- Department of Cardiovascular Sciences and the NIHR Leicester Cardiovascular Biomedical Research Unit, University of Leicester, United Kingdom
| | - Agnieszka Slowik
- Department of Neurology, Jagiellonian University, Krakow, Poland
| | | | - Gerard Tromp
- The Sigfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA Department of Biomedical Sciences, Stellenbosch University, Tygerberg, South Africa
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Shefali S Verma
- Center for Systems Genomics, The Pennsylvania State University, Pennsylvania, PA
| | - Sita H Vermeulen
- Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Gao T Wang
- Center for Statistical Genetics, Baylor College of Medicine, Houston, TX
| | - Buhm Han
- Department of Convergence Medicine, University of Ulsan College of Medicine and Asan Institute for Life Sciences Asan Medical Center, Seoul, Korea
| | - Gabriël J E Rinkel
- Utrecht Stroke Center, Department of Neurology and Neurosurgery, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paul I W de Bakker
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
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Ormesher DC, Antoniou SA, Neequaye S, Torella F, Antoniou GA. Fast track surgery programmes for abdominal aortic aneurysm surgery. Hippokratia 2016. [DOI: 10.1002/14651858.cd012176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- David C Ormesher
- Countess of Chester Hospital; South Mersey Arterial Network; Chester UK
| | - Stavros A Antoniou
- University Hospital of Heraklion, University of Crete; Department of Surgery; Souniou 11 Heraklion Greece 19001
| | - Simon Neequaye
- Royal Liverpool University Hospital; Liverpool Vascular and Endovascular Service; Prescot Street Liverpool UK L7 8XP
| | - Francesco Torella
- Royal Liverpool University Hospital; Liverpool Vascular and Endovascular Service; Prescot Street Liverpool UK L7 8XP
| | - George A Antoniou
- The Royal Oldham Hospital, Pennine Acute Hospitals NHS Trust; Department of Vascular and Endovascular Surgery; Manchester UK
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Kuivaniemi H, Ryer EJ, Elmore JR, Tromp G. Understanding the pathogenesis of abdominal aortic aneurysms. Expert Rev Cardiovasc Ther 2016; 13:975-87. [PMID: 26308600 DOI: 10.1586/14779072.2015.1074861] [Citation(s) in RCA: 246] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
An aortic aneurysm is a dilatation in which the aortic diameter is ≥3.0 cm. If left untreated, the aortic wall continues to weaken and becomes unable to withstand the forces of the luminal blood pressure resulting in progressive dilatation and rupture, a catastrophic event associated with a mortality of 50-80%. Smoking and positive family history are important risk factors for the development of abdominal aortic aneurysms (AAA). Several genetic risk factors have also been identified. On the histological level, visible hallmarks of AAA pathogenesis include inflammation, smooth muscle cell apoptosis, extracellular matrix degradation and oxidative stress. We expect that large genetic, genomic, epigenetic, proteomic and metabolomic studies will be undertaken by international consortia to identify additional risk factors and biomarkers, and to enhance our understanding of the pathobiology of AAA. Collaboration between different research groups will be important in overcoming the challenges to develop pharmacological treatments for AAA.
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Affiliation(s)
- Helena Kuivaniemi
- a 1 Sigfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA 17822, USA
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13
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Ma W, Zhang L, Zeng P, Huang C, Li J, Geng B, Yang J, Kong W, Zhou X, Cui Q. An analysis of human microbe-disease associations. Brief Bioinform 2016; 18:85-97. [PMID: 26883326 DOI: 10.1093/bib/bbw005] [Citation(s) in RCA: 122] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Revised: 12/22/2015] [Indexed: 02/07/2023] Open
Abstract
The microbiota living in the human body has critical impacts on our health and disease, but a systems understanding of its relationships with disease remains limited. Here, we use a large-scale text mining-based manually curated microbe-disease association data set to construct a microbe-based human disease network and investigate the relationships between microbes and disease genes, symptoms, chemical fragments and drugs. We reveal that microbe-based disease loops are significantly coherent. Microbe-based disease connections have strong overlaps with those constructed by disease genes, symptoms, chemical fragments and drugs. Moreover, we confirm that the microbe-based disease analysis is able to predict novel connections and mechanisms for disease, microbes, genes and drugs. The presented network, methods and findings can be a resource helpful for addressing some issues in medicine, for example, the discovery of bench knowledge and bedside clinical solutions for disease mechanism understanding, diagnosis and therapy.
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Kuivaniemi H, Ryer EJ, Elmore JR, Tromp G. In response: abdominal aortic aneurysms: do not underestimate the role of diabetes. Expert Rev Cardiovasc Ther 2015; 13:1291-2. [PMID: 26469388 DOI: 10.1586/14779072.2015.1100538] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Helena Kuivaniemi
- a Sigfried and Janet Weis Center for Research , Geisinger Health System , Danville , PA 17822 , USA.,b Department of Surgery , Temple University School of Medicine , Philadelphia , PA 19140 , USA.,c Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences , Stellenbosch University , Tygerberg , 7505 , South Africa
| | - Evan J Ryer
- d Department of Vascular and Endovascular Surgery , Geisinger Health System , Danville , PA 17822 , USA
| | - James R Elmore
- d Department of Vascular and Endovascular Surgery , Geisinger Health System , Danville , PA 17822 , USA
| | - Gerard Tromp
- a Sigfried and Janet Weis Center for Research , Geisinger Health System , Danville , PA 17822 , USA.,c Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences , Stellenbosch University , Tygerberg , 7505 , South Africa
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15
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National trends in incidence and outcomes of abdominal aortic aneurysm among elderly type 2 diabetic and non-diabetic patients in Spain (2003-2012). Cardiovasc Diabetol 2015; 14:48. [PMID: 25947103 PMCID: PMC4425889 DOI: 10.1186/s12933-015-0216-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Accepted: 04/29/2015] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND This study aims to describe trends in the rate of abdominal aortic aneurysm (AAA) and use of open surgery repair (OSR) and endovascular aneurysm repair (EVAR) in elderly patients with and without type 2 diabetes in Spain, 2003-2012. METHODS We select all patients with a discharge of AAA using national hospital discharge data. Discharges were grouped by diabetes status: type 2 diabetes and no diabetes. In both groups OSR and EVAR were identified. The incidence of discharges attributed to AAA were calculated overall and stratified by diabetes status and year. We calculated length of stay (LOHS) and in-hospital mortality (IHM). Use of OSR and EVAR were calculated stratified by diabetes status. Multivariate analysis was adjusted by age, sex, year, smoking habit and comorbidity. RESULTS From 2003 to 2012, 115,020 discharges with AAA were identified. The mean age was 74.91 years and 16.7% suffered type 2 diabetes. Rates of discharges due to AAA increased significantly in diabetic patients (50.09 in 2003 to 78.23 cases per 100,000 in 2012) and non diabetic subjects (69.24 to 78.66). The incidences were higher among those without than those with diabetes in all the years studied. The proportion of patients that underwent EVAR increased for both groups of patients and the open repair decreased. After multivariate analysis we found that LOHS and IHM have improved over the study period and diabetic patients had lower IHM than those without diabetes (OR 0.81; 95%CI 0.76-0.85). CONCLUSIONS Incidence rates were higher in non-diabetic patients. For diabetic and non diabetic patients the use of EVAR has increased and open repair seems to be decreasing. IHM and LOHS have improved from 2003 to 2012. Patients with diabetes had significantly lower mortality.
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