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Cited by 15

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Blood Lead, Bone Turnover, and Survival in Amyotrophic Lateral Sclerosis

Fang, Fang, Peters, Tracy L, Beard, John D, Umbach, David M, Keller, Jean, Mariosa, Daniela, Allen, Kelli D, Ye, Weimin, Sandler, Dale P, Schmidt, Silke, Kamel, Freya·2017·American Journal of Epidemiology
DOI 10.1093/aje/kwx176
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Abstract

Blood lead and bone turnover may be associated with the risk of amyotrophic lateral sclerosis (ALS). We aimed to assess whether these factors were also associated with time from ALS diagnosis to death through a survival analysis of 145 ALS patients enrolled during 2007 in the National Registry of Veterans with ALS. Associations of survival time with blood lead and plasma biomarkers of bone resorption (C-terminal telopeptides of type I collagen (CTX)) and bone formation (procollagen type I amino-terminal peptide (PINP)) were estimated using Cox models adjusted for age at diagnosis, diagnostic certainty, diagnostic delay, site of onset, and score on the Revised ALS Functional Rating Scale. Hazard ratios were calculated for each doubling of biomarker concentration. Blood lead, plasma CTX, and plasma PINP were mutually adjusted for one another. Increased lead (hazard ratio (HR) = 1.38; 95% confidence interval (CI): 1.03, 1.84) and CTX (HR = 2.03; 95% CI: 1.42, 2.89) were both associated with shorter survival, whereas higher PINP was associated with longer survival (HR = 0.59; 95% CI: 0.42, 0.83), after ALS diagnosis. No interactions were observed between lead or bone turnover and other prognostic indicators. Lead toxicity and bone metabolism may be involved in ALS pathophysiology.

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Metadata

Authors
Fang, F., Peters, T. L., Beard, J. D., Umbach, D. M., Keller, J., Mariosa, D., Allen, K. D., Ye, W., Sandler, D. P., Schmidt, S., & Kamel, F.
Venue
American Journal of Epidemiology
Publisher
Oxford University Press (OUP)
Published
2017-08-23
Volume
186
Issue
9
Pages
1057-1064
ISSN
  • 0002-9262
  • 1476-6256
DOI
10.1093/aje/kwx176
Cited by
15
References
48
Language
en
Funders
  • National Institutes of Health
  • National Institute of Environmental Health Sciences
  • National Institutes of Health, National Institute of Environmental Health Sciences (Z01-ES-049005)
  • National Institute of Environmental Health Sciences/National Institutes of Health (R01-ES-013244)

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.