Literature DB >> 31370767

Risk Factors for Unruptured Intracranial Aneurysms and Subarachnoid Hemorrhage in a Prospective Population-Based Study.

Tomm B Müller1, Anne Vik1,2, Pål R Romundstad3, Marie Søfteland Sandvei4,5.   

Abstract

Background and Purpose- We wanted to evaluate potential risk factors for unruptured intracranial aneurysms (UIAs) and aneurysmal subarachnoid hemorrhage (aSAH) in a large, prospective study of the general population with risk factors collected before the detection of UIA or aSAH. Methods- All residents ≥20 years were invited to the HUNT (The Nord-Trøndelag Health Study). In this study, 89 951 participants were included. The study included standardized measurements of blood pressure and self-administered questionnaires. Cases of UIA and aSAH from 1999 to 2014 were identified using hospital records and the Norwegian Cause of Death Register. Hazard ratios with CIs were estimated using Cox regression analysis. Results- The detection rate of UIA was 8.2 per 100 000 person-years (97 patients). Current smoking (hazard ratio, 4.1; 95% CI, 2.4-7.1) and female sex (hazard ratio, 2.8; 95% CI, 1.7-4.5) were associated with markedly increased risk of UIA, but we found no association with systolic blood pressure (P for trend 0.62). The incidence of aSAH was 9.9 per 100 000 person-years (117 patients). The most important risk factors for aSAH were current smoking, female sex and increasing blood pressure (P for trend 0.006 for systolic blood pressure). Conclusions- In contrast to previous studies on risk factors of UIA, we found no association with systolic blood pressure. However, there was a strong association between systolic blood pressure and aSAH in the same population. Current smoking and female sex were associated with both diseases.

Entities:  

Keywords:  blood pressure; hemorrhage; intracranial aneurysm; population; risk factors

Mesh:

Year:  2019        PMID: 31370767     DOI: 10.1161/STROKEAHA.119.025951

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  11 in total

1.  Genetically Determined Smoking Behavior and Risk of Nontraumatic Subarachnoid Hemorrhage.

Authors:  Julián N Acosta; Natalia Szejko; Cameron P Both; Kevin Vanent; Rommell B Noche; Thomas M Gill; Charles C Matouk; Kevin N Sheth; Murat Gunel; Guido J Falcone
Journal:  Stroke       Date:  2021-01-14       Impact factor: 7.914

2.  Predictors of Stroke Subtype and Severity in Patients of a Tertiary Care Hospital, Dehradun.

Authors:  Megha Luthra; Puneet Ohri; Priyanka V Kashyap; Sonam Maheshwari
Journal:  Indian J Community Med       Date:  2021-03-01

3.  Time Trends in Stroke and Subtypes Mortality Attributable to Household Air Pollution in Chinese and Indian Adults: An Age-Period-Cohort Analysis Using the Global Burden of Disease Study 2019.

Authors:  Yudiyang Ma; Donghui Yang; Jianjun Bai; Yudi Zhao; Qian Hu; Chuanhua Yu
Journal:  Front Aging Neurosci       Date:  2022-02-18       Impact factor: 5.750

Review 4.  Neurogenic pulmonary edema in subarachnoid hemorrhage: relevant clinical concepts.

Authors:  Ivan David Lozada-Martínez; María Manuela Rodríguez-Gutiérrez; Jenny Ospina-Rios; Michael Gregorio Ortega-Sierra; Mauro Antonio González-Herazo; Lina Marcela Ortiz-Roncallo; Rafael Martínez-Imbett; Andrés Elías Llamas-Nieves; Tariq Janjua; Luis Rafael Moscote-Salazar
Journal:  Egypt J Neurosurg       Date:  2021-11-15

5.  True Posterior Communicating Artery Aneurysms with High Risk of Rupture despite Very Small Diameter.

Authors:  Dong Gyu Shin; Jaechan Park; Myungsoo Kim; Byoung-Joon Kim; Im Hee Shin
Journal:  J Korean Neurosurg Soc       Date:  2022-02-25

6.  Wall shear stress gradient is independently associated with middle cerebral artery aneurysm development: a case-control CFD patient-specific study based on 77 patients.

Authors:  Mikołaj Zimny; Edyta Kawlewska; Anna Hebda; Wojciech Wolański; Piotr Ładziński; Wojciech Kaspera
Journal:  BMC Neurol       Date:  2021-07-19       Impact factor: 2.474

7.  Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors.

Authors:  Mark K Bakker; Rick A A van der Spek; Wouter van Rheenen; Sandrine Morel; Romain Bourcier; Isabel C Hostettler; Varinder S Alg; Kristel R van Eijk; Masaru Koido; Masato Akiyama; Chikashi Terao; Koichi Matsuda; Robin G Walters; Kuang Lin; Liming Li; Iona Y Millwood; Zhengming Chen; Guy A Rouleau; Sirui Zhou; Kristiina Rannikmäe; Cathie L M Sudlow; Henry Houlden; Leonard H van den Berg; Christian Dina; Olivier Naggara; Jean-Christophe Gentric; Eimad Shotar; François Eugène; Hubert Desal; Bendik S Winsvold; Sigrid Børte; Marianne Bakke Johnsen; Ben M Brumpton; Marie Søfteland Sandvei; Cristen J Willer; Kristian Hveem; John-Anker Zwart; W M Monique Verschuren; Christoph M Friedrich; Sven Hirsch; Sabine Schilling; Jérôme Dauvillier; Olivier Martin; Gregory T Jones; Matthew J Bown; Nerissa U Ko; Helen Kim; Jonathan R I Coleman; Gerome Breen; Jonathan G Zaroff; Catharina J M Klijn; Rainer Malik; Martin Dichgans; Muralidharan Sargurupremraj; Turgut Tatlisumak; Philippe Amouyel; Stéphanie Debette; Gabriel J E Rinkel; Bradford B Worrall; Joanna Pera; Agnieszka Slowik; Emília I Gaál-Paavola; Mika Niemelä; Juha E Jääskeläinen; Mikael von Und Zu Fraunberg; Antti Lindgren; Joseph P Broderick; David J Werring; Daniel Woo; Richard Redon; Philippe Bijlenga; Yoichiro Kamatani; Jan H Veldink; Ynte M Ruigrok
Journal:  Nat Genet       Date:  2020-11-16       Impact factor: 41.307

8.  Prediction of Intracranial Aneurysm Risk using Machine Learning.

Authors:  Jaehyuk Heo; Sang Jun Park; Si-Hyuck Kang; Chang Wan Oh; Jae Seung Bang; Tackeun Kim
Journal:  Sci Rep       Date:  2020-04-24       Impact factor: 4.379

9.  Classification models using circulating neutrophil transcripts can detect unruptured intracranial aneurysm.

Authors:  Kerry E Poppenberg; Vincent M Tutino; Lu Li; Muhammad Waqas; Armond June; Lee Chaves; Kaiyu Jiang; James N Jarvis; Yijun Sun; Kenneth V Snyder; Elad I Levy; Adnan H Siddiqui; John Kolega; Hui Meng
Journal:  J Transl Med       Date:  2020-10-15       Impact factor: 5.531

10.  Development and validation of a novel nomogram to predict aneurysm rupture in patients with multiple intracranial aneurysms: a multicentre retrospective study.

Authors:  Xin Feng; Xin Tong; Aihua Liu; Daming Wang; Fei Peng; Hao Niu; Peng Qi; Jun Lu; Yang Zhao; Weitao Jin; Zhongxue Wu; Yuanli Zhao
Journal:  Stroke Vasc Neurol       Date:  2021-02-05
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