From ‘brain fog’ to heart damage, COVID-19’s lingering problems alarm scientists

How come only scientists?

From ‘brain fog’ to heart damage, COVID-19’s lingering problems alarm scientists

Source: https://www.sciencemag.org/news/2020/07/brain-fog-heart-damage-covid-19-s-lingering-problems-alarm-scientists

 

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How is it that six months into a respiratory pandemic, we still have so little guidance about this all-important variable, the very air we breathe?

Good question. Hello, schools? Hello, universities? Hello, XYZ Airline?

>>How is it that six months into a respiratory pandemic, we still have so little guidance about this all-important variable, the very air we breathe?<<

Source: https://www.theatlantic.com/health/archive/2020/07/why-arent-we-talking-more-about-airborne-transmission/614737/

 

 

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Free Access Low plasma 25(OH) vitamin D level is associated with increased risk of COVID‐19 infection: an Israeli population‐based study

ORIGINAL ARTICLE 

 

Free Access

Low plasma 25(OH) vitamin D level is associated with increased risk of COVID‐19 infection: an Israeli population‐based study

First published: 23 July 2020

 

Abstract

Aim

To evaluate associations of plasma 25(OH)D status with the likelihood of coronavirus disease (COVID‐19) infection and hospitalization.

Methods

The study population included the 14,000 members of Leumit Health Services who were tested for COVID‐19 infection from February 1st to April 30th 2020, and who had at least one previous blood test for plasma 25(OH)D level. “Suboptimal” or “low” plasma 25(OH)D level was defined as plasma 25‐hydroxyvitamin D, or 25(OH)D, concentration below the level of 30 ng/mL.

Results

Of 7,807 individuals, 782 (10.1%) were COVID‐19‐positive, and 7,025 (89.9%) COVID‐19‐negative. The mean plasma vitamin D level was significantly lower among those who tested positive than negative for COVID‐19 [19.00 ng/mL (95% confidence interval [CI] 18.41‐19.59) vs . 20.55 (95% CI 20.32‐20.78)]. Univariate analysis demonstrated an association between low plasma 25(OH)D level and increased likelihood of COVID‐19 infection [crude odds ratio (OR) of 1.58 (95% CI 1.24‐2.01, p<0.001)], and of hospitalization due to the SARS‐CoV‐2 virus [crude OR of 2.09 (95% CI 1.01‐ 4.30, p<0.05)]. In multivariate analyses that controlled for demographic variables, and psychiatric and somatic disorders, the adjusted OR of COVID‐19 infection [1.45 (95% CI 1.08‐1.95, p<0.001)], and of hospitalization due to the SARS‐CoV‐2 virus [1.95 (95% CI 0.98‐4.845, p=0.061)] were preserved. In the multivariate analyses, age over 50 years, male gender and low‐medium socioeconomic status were also positively associated with the risk of COVID‐19 infection; age over 50 years was positively associated with the likelihood of hospitalization due to COVID‐19.

Conclusion

Low plasma 25(OH)D level appears to be an independent risk factor for COVID‐19 infection and hospitalization.

 
Source:
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COVID TRAVEL MAP: CROSS STATE TRAVEL COUNTIES AS OF JULY 24, 2020 (MODIFIED JULY 27, 2020)

COVID TRAVEL MAP: CROSS STATE TRAVEL COUNTIES AS OF JULY 24, 2020 (MODIFIED JULY 27, 2020)

MONDAY, JULY 27, 2020

Cross State Travel Counties 072420 – Modified 072720.xlsx

Source: https://accd.vermont.gov/content/travel-map-cross-state-travel-counties-2020-07-24-modified-2020-07-27

 

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Evidence-based prevention of Alzheimer’s disease: systematic review

 
Review
 
Evidence-based prevention of Alzheimer’s disease: systematic review and meta-analysis of 243 observational prospective studies and 153 randomised controlled trials
 
  1. Jin-Tai Yu1,
  2. Wei Xu2,
  3. Chen-Chen Tan2,
  4. Sandrine Andrieu3,
  5. John Suckling4,
  6. Evangelos Evangelou5,
  7. An Pan6,
  8. Can Zhang7,
  9. Jianping Jia8,
  10. Lei Feng9,
  11. Ee-Heok Kua9,
  12. Yan-Jiang Wang10,
  13. Hui-Fu Wang2,
  14. Meng-Shan Tan2,
  15. Jie-Qiong Li2,
  16. Xiao-He Hou2,
  17. Yu Wan2,
  18. Lin Tan2,
  19. Vincent Mok11,
  20. Lan Tan2,
  21. Qiang Dong1,
  22. Jacques Touchon12,
  23. Gauthier Serge13,
  24. Paul S Aisen14,
  25. Bruno Vellas15

Author affiliations


  1. Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China

  2. Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China

  3. Department of Epidemiology and Public Health, University of Toulouse III, Toulouse, France

  4. Department of Psychiatry, Medical Research Council and Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK

  5. Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece

  6. Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

  7. Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA

  8. Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China

  9. Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore

  10. Department of Neurology, Daping Hospital, Third Military Medical University, Chongqing, China

  11. Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong

  12. Department of Neurology, University Hospital of Montpellier, Montpellier, France

  13. McGill Center for Studies in Aging, McGill University, Montreal, Quebec, Canada

  14. Alzheimer’s Therapeutic Research Institute, University of Southern California, San Diego, California, USA

  15. Department of Geriatrics, Purpan University Hospital, Toulouse, France
  1. Correspondence to Professor Jin-Tai Yu, Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; jintai_yu@fudan.edu.cn
 

Abstract

Background Evidence on preventing Alzheimer’s disease (AD) is challenging to interpret due to varying study designs with heterogeneous endpoints and credibility. We completed a systematic review and meta-analysis of current evidence with prospective designs to propose evidence-based suggestions on AD prevention.

Methods Electronic databases and relevant websites were searched from inception to 1 March 2019. Both observational prospective studies (OPSs) and randomised controlled trials (RCTs) were included. The multivariable-adjusted effect estimates were pooled by random-effects models, with credibility assessment according to its risk of bias, inconsistency and imprecision. Levels of evidence and classes of suggestions were summarised.

Results A total of 44 676 reports were identified, and 243 OPSs and 153 RCTs were eligible for analysis after exclusion based on pre-decided criteria, from which 104 modifiable factors and 11 interventions were included in the meta-analyses. Twenty-one suggestions are proposed based on the consolidated evidence, with Class I suggestions targeting 19 factors: 10 with Level A strong evidence (education, cognitive activity, high body mass index in latelife, hyperhomocysteinaemia, depression, stress, diabetes, head trauma, hypertension in midlife and orthostatic hypotension) and 9 with Level B weaker evidence (obesity in midlife, weight loss in late life, physical exercise, smoking, sleep, cerebrovascular disease, frailty, atrial fibrillation and vitamin C). In contrast, two interventions are not recommended: oestrogen replacement therapy (Level A2) and acetylcholinesterase inhibitors (Level B).

Interpretation Evidence-based suggestions are proposed, offering clinicians and stakeholders current guidance for the prevention of AD.

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