Experimental Gerontology · 2023 · 17 citations · 38 references
MedicineBiostatisticsGeriatric MedicineEpidemiologyFrailtyGerontologyComprehensive Geriatric AssessmentFrailty AssessmentFrailty IndexAssociation Rule MiningClinical Frailty IndexFrailty ClassificationFrailty Index ScoringFrailty Screening ToolsFrailty SeverityOlder Adult AssessmentOlder Adult Population
BACKGROUND: Biological markers contribute to the precise intervention across the continuum of frailty severity. Few studies have explored the advantages of biological markers collected as part of primary care data among community-dwelling older adult population and controversy remains regarding the classic biological markers for frailty. METHODS: We recruited a total of 8791 adults with a mean age of 71.95 years who met the inclusion and exclusion criteria in Guancheng District and Dalang Town, Dongguan, China. Frailty was assessed by a Chinese frailty evaluation scale. Frailty status was classified with 33-item modified frailty index and latent class analysis was applied to explore the latent classes (subtypes) of frailty. We measured biological markers on blood samples collected. We identify association between specific biological markers or patterns and frailty by logistic regression and association rule mining (ARM) based on the Apriori algorithm. RESULTS: Multivariable analysis of our data showed that an elevated white blood cell (WBC) count and high cholesterol (CHOL) level were associated with pre-frailty (adjusted odds ratio [aOR] = 1.231, 95 % confidence interval [CI] = 1.009-1.501; aOR = 0.703, 95 % CI = 0.623-0.793) and frailty (aOR = 1.500, 95 % CI = 1.130-1.993; aOR = 0.561, 95 % CI = 0.461-0.684) compared with the normal groups. Importantly, significantly high level of CHOL was associated with a lower risk of four frailty subtypes compared with relatively healthy participants with the most power of association in the multi-frail group (aOR = 0.182, 95 % CI = 0.086-0.386). Based on ARM technique to develop correlation analysis to identify important high-risk clusters among older adult transitions from non-frail to frailty, patterns for normal level of CHOL co-occurred with an elevated creatinine (CREA) level have a significant association with the risk of frailty (aOR = 7.787, 95 % CI = 1.978-30.648) after adjusting for targeted confounders. CONCLUSIONS: Our study highlights the correlation between classic biological markers, especially CHOL and frailty status and subtypes among community-dwelling older adult, in the primary care setting. Further large-scale prospective studies are still needed to confirm the role of classic biological markers in frailty.
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Mining association rules between sets of items in large databases
Rakesh Agrawal, Tomasz Imieliński, Arun Swami · 1993 · 14.8K citations · Full text
Inflammation and Frailty in Older Women
Sean X. Leng, Qian‐Li Xue, Jing Tian et al. · Journal of the American Geriatrics Society · 2007 · 426 citations
Serum cholesterol changes after midlife and late-life cognition
Alina Solomon, Ingemar Kåreholt, Tiia Ngandu et al. · Neurology · 2007 · 309 citations
Medicine, Geriatric Medicine, Aging +16