Literature DB >> 30984317

Risks associated with the stroke predisposition at young age: facts and hypotheses in light of individualized predictive and preventive approach.

Jiri Polivka3, Jiri Polivka3, Martin Pesta2,4, Vladimir Rohan3, Libuse Celedova5, Smit Mahajani6, Ondrej Topolcan7, Olga Golubnitschaja8,9,10.   

Abstract

Stroke is one of the most devastating pathologies of the early twenty-first century demonstrating 1-month case-fatality rates ranging from 13 to 35% worldwide. Though the majority of cases do occur in individuals at an advanced age, a persistently increasing portion of the patient cohorts is affected early in life. Current studies provide alarming statistics for the incidence of "young" strokes including adolescents. Young stroke is a multifactorial disease involving genetic predisposition but also a number of modifiable factors, the synergic combination of which potentiates the risks. The article analyzes the prevalence and impacts of "traditional" risk factors such as sedentary lifestyle, smoking, abnormal alcohol consumption, drug abuse, overweight, hypertension, abnormal sleep patterns, and usage of hormonal contraceptives, among others. Further, less explored risks such as primary vascular dysregulation and associated symptoms characteristic for Flammer syndrome (FS) are considered, and the relevance of the FS phenotype for the stroke predisposition at young age is hypothesized. Considering the high prevalence of known genetic and modifiable risk factors in the overall predisposition to the young stroke, the risk mitigating measures are recommended including innovative screening programs by application of specialized questionnaires and biomarker panels as well as educational programs adapted to the target audiences such as children, adolescents, and young adults.

Entities:  

Keywords:  Abnormal BMI; Altered sensation; Baroreceptor sensitivity; Blood flow; Body dehydration; Cardiac; Circadian rhythm; Etiology; Flammer syndrome; Hormonal regulation; Individualized patient profile; Life style; Microcirculation; Migraine; Phenotype; Predictive preventive personalized medicine; Psychology; Questionnaire; Risk assessment; Risk factors; Screening program; Sleep patterns; Stress; Stroke; Thermoregulation; Tinnitus; Vascular; Young adults

Year:  2019        PMID: 30984317      PMCID: PMC6459458          DOI: 10.1007/s13167-019-00162-5

Source DB:  PubMed          Journal:  EPMA J        ISSN: 1878-5077            Impact factor:   6.543


  179 in total

1.  Apolipoprotiens and prediction of fatal myocardial infarction.

Authors:  Nicholas J Wald; Malcolm Law; James E Haddow; Wendy Y Craig
Journal:  Lancet       Date:  2002-05-25       Impact factor: 79.321

2.  Mitochondrial myopathy, encephalopathy, lactic acidosis, and stroke-like episodes (MELAS): a correlative study of the clinical features and mitochondrial DNA mutation.

Authors:  Y Goto; S Horai; T Matsuoka; Y Koga; K Nihei; M Kobayashi; I Nonaka
Journal:  Neurology       Date:  1992-03       Impact factor: 9.910

3.  Vasogenic edema on MELAS: a serial study with diffusion-weighted MR imaging.

Authors:  M Yoneda; M Maeda; H Kimura; A Fujii; K Katayama; M Kuriyama
Journal:  Neurology       Date:  1999-12-10       Impact factor: 9.910

4.  Cold feet and prolonged sleep-onset latency in vasospastic syndrome.

Authors:  M Pache; K Kräuchi; C Cajochen; A Wirz-Justice; B Dubler; J Flammer; H J Kaiser
Journal:  Lancet       Date:  2001-07-14       Impact factor: 79.321

Review 5.  Ischemic stroke in Korean young adults.

Authors:  S U Kwon; J S Kim; J H Lee; M C Lee
Journal:  Acta Neurol Scand       Date:  2000-01       Impact factor: 3.209

Review 6.  Influence of pattern of drinking on cardiovascular disease and cardiovascular risk factors--a review.

Authors:  I B Puddey; V Rakic; S B Dimmitt; L J Beilin
Journal:  Addiction       Date:  1999-05       Impact factor: 6.526

7.  Meta-analysis of genetic studies in ischemic stroke: thirty-two genes involving approximately 18,000 cases and 58,000 controls.

Authors:  Juan P Casas; Aroon D Hingorani; Leonelo E Bautista; Pankaj Sharma
Journal:  Arch Neurol       Date:  2004-11

8.  Alcohol consumption and risk of stroke: a meta-analysis.

Authors:  Kristi Reynolds; Brian Lewis; John David L Nolen; Gregory L Kinney; Bhavani Sathya; Jiang He; Brian L Lewis
Journal:  JAMA       Date:  2003-02-05       Impact factor: 56.272

9.  Increasing stroke incidence in Sweden between 1989 and 2000 among persons aged 30 to 65 years: evidence from the Swedish Hospital Discharge Register.

Authors:  J Medin; A Nordlund; K Ekberg
Journal:  Stroke       Date:  2004-04-08       Impact factor: 7.914

10.  Global prevalence of diabetes: estimates for the year 2000 and projections for 2030.

Authors:  Sarah Wild; Gojka Roglic; Anders Green; Richard Sicree; Hilary King
Journal:  Diabetes Care       Date:  2004-05       Impact factor: 19.112

View more
  14 in total

Review 1.  Targeting the endocannabinoid system: a predictive, preventive, and personalized medicine-directed approach to the management of brain pathologies.

Authors:  Vamsi Reddy; Dayton Grogan; Meenakshi Ahluwalia; Évila Lopes Salles; Pankaj Ahluwalia; Hesam Khodadadi; Katelyn Alverson; Andy Nguyen; Srikrishnan P Raju; Pankaj Gaur; Molly Braun; Fernando L Vale; Vincenzo Costigliola; Krishnan Dhandapani; Babak Baban; Kumar Vaibhav
Journal:  EPMA J       Date:  2020-04-15       Impact factor: 6.543

2.  Vaginal dryness: individualised patient profiles, risks and mitigating measures.

Authors:  Vadym Goncharenko; Rostyslav Bubnov; Jiri Polivka; Pavol Zubor; Kamil Biringer; Tibor Bielik; Walther Kuhn; Olga Golubnitschaja
Journal:  EPMA J       Date:  2019-03-02       Impact factor: 6.543

3.  Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine.

Authors:  Yulu Zheng; Zheng Guo; Yanbo Zhang; Jianjing Shang; Leilei Yu; Ping Fu; Yizhi Liu; Xingang Li; Hao Wang; Ling Ren; Wei Zhang; Haifeng Hou; Xuerui Tan; Wei Wang
Journal:  EPMA J       Date:  2022-05-27       Impact factor: 8.836

Review 4.  Mitochondrial health quality control: measurements and interpretation in the framework of predictive, preventive, and personalized medicine.

Authors:  Lenka Koklesova; Alena Mazurakova; Marek Samec; Erik Kudela; Kamil Biringer; Peter Kubatka; Olga Golubnitschaja
Journal:  EPMA J       Date:  2022-05-12       Impact factor: 8.836

5.  Optical coherence tomographic patterns in patients with retinal vein occlusion and macular edema treated by ranibizumab: a predictive and personalized approach.

Authors:  D Yu Khokhlova; E A Drozdova; N I Kurysheva; I A Loskutov
Journal:  EPMA J       Date:  2021-03-03       Impact factor: 6.543

Review 6.  The role and therapeutic potential of heat shock proteins in haemorrhagic stroke.

Authors:  Anwen Shao; Yunxiang Zhou; Yihan Yao; Wenhua Zhang; Jianmin Zhang; Yongchuan Deng
Journal:  J Cell Mol Med       Date:  2019-07-05       Impact factor: 5.310

7.  Economic burden of cancers in Taiwan: a direct and indirect cost estimate for 2007-2017.

Authors:  Shao-Yi Huang; Ho-Min Chen; Kai-Hsin Liao; Bor-Sheng Ko; Fei-Yuan Hsiao
Journal:  BMJ Open       Date:  2020-10-10       Impact factor: 2.692

Review 8.  Sleep disorders in migrants and refugees: a systematic review with implications for personalized medical approach.

Authors:  Kneginja Richter; Lisa Baumgärtner; Günter Niklewski; Lukas Peter; Melanie Köck; Stefanie Kellner; Thomas Hillemacher; Antje Büttner-Teleaga
Journal:  EPMA J       Date:  2020-05-13       Impact factor: 6.543

Review 9.  Bone-Derived Modulators That Regulate Brain Function: Emerging Therapeutic Targets for Neurological Disorders.

Authors:  Hongzhen Chen; Dewei Shang; Yuguan Wen; Chao Liang
Journal:  Front Cell Dev Biol       Date:  2021-06-10

Review 10.  Osteopontin as a candidate of therapeutic application for the acute brain injury.

Authors:  Yunxiang Zhou; Yihan Yao; Lesang Sheng; Jianmin Zhang; John H Zhang; Anwen Shao
Journal:  J Cell Mol Med       Date:  2020-07-13       Impact factor: 5.310

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.