Arnold Mitnitski
Overview
Explore the profile of Arnold Mitnitski including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
104
Citations
10212
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Farrell S, Mitnitski A, Rockwood K, Rutenberg A
PLoS Comput Biol
. 2022 Jan;
18(1):e1009746.
PMID: 35007286
We have built a computational model for individual aging trajectories of health and survival, which contains physical, functional, and biological variables, and is conditioned on demographic, lifestyle, and medical background...
2.
Stubbings G, Rockwood K, Mitnitski A, Rutenberg A
Mech Ageing Dev
. 2021 Sep;
199:111570.
PMID: 34517019
measures of health quantify the aging process of individuals. They should be interpretable, associated with future adverse outcomes, and straightforward to assemble. We use the rank-ordering of risk within a...
3.
Kamintsky L, Beyea S, Fisk J, Hashmi J, Omisade A, Calkin C, et al.
Ann Rheum Dis
. 2021 Feb;
82(5):e124.
PMID: 33622691
No abstract available.
4.
Farrell S, Stubbings G, Rockwood K, Mitnitski A, Rutenberg A
Mech Ageing Dev
. 2020 Nov;
193:111403.
PMID: 33220267
The gradual accumulation of damage and dysregulation during the aging of living organisms can be quantified. Even so, the aging process is complex and has multiple interacting physiological scales -...
5.
Farrell S, Mitnitski A, Rockwood K, Rutenberg A
Sci Rep
. 2020 Nov;
10(1):19833.
PMID: 33199733
We develop a computational model of human aging that generates individual health trajectories with a set of observed health attributes. Our model consists of a network of interacting health attributes...
6.
Kamintsky L, Beyea S, Fisk J, Hashmi J, Omisade A, Calkin C, et al.
Ann Rheum Dis
. 2020 Oct;
79(12):1580-1587.
PMID: 33004325
Objectives: To examine the association between blood-brain barrier (BBB) integrity, brain volume and cognitive dysfunction in adult patients with systemic lupus erythematosus (SLE). Methods: A total of 65 ambulatory patients...
7.
Perez-Zepeda M, Godin J, Armstrong J, Andrew M, Mitnitski A, Kirkland S, et al.
Age Ageing
. 2020 Aug;
50(2):447-456.
PMID: 32805022
Background: frailty is a public health priority now that the global population is ageing at a rapid rate. A scientifically sound tool to measure frailty and generate population-based reference values...
8.
Stubbings G, Farrell S, Mitnitski A, Rockwood K, Rutenberg A
Biogerontology
. 2020 Mar;
21(3):345-355.
PMID: 32157458
Frailty indices (FIs) based on continuous valued health data, such as obtained from blood and urine tests, have been shown to be predictive of adverse health outcomes. However, creating FIs...
9.
Blodgett J, Theou O, Mitnitski A, Howlett S, Rockwood K
Aging Med (Milton)
. 2020 Jan;
2(1):11-17.
PMID: 31942508
Objective: Early frailty may be captured by a frailty index (FI) based entirely on vital signs and laboratory tests. Our aim was to examine associations between a laboratory-based FI (FI-Lab)...
10.
Mousa A, Savva G, Mitnitski A, Rockwood K, Jagger C, Brayne C, et al.
Age Ageing
. 2018 Jun;
47(5):721-727.
PMID: 29905755
Background: age-specific mortality reduction has been accompanied by a decrease in the prevalence of some diseases and an increase in others. Whether populations are becoming 'healthier' depends on which aspect...