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2.
Skin Appendage Disord ; 10(5): 421-424, 2024 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-39386309

RESUMO

Introduction: Onychocryptosis is a common and often painful nail condition, but risk factors have been relatively unexplored. We aimed to analyze associations between onychocryptosis, comorbidities, and income level. Methods: Using the National Institute of Health All of Us Research Program Database, a matched case-control study was performed for patients with onychocryptosis diagnosis and comorbidities and lifestyle factors. Results: A total of 6,246 cases of onychocryptosis and 24,984 controls were analyzed. Patients with onychocryptosis versus controls had increased risk of onychogryphosis (OR 5.66; 95% CI 4.87, 6.58), onychomycosis (2.63; 2.06, 3.36), hallux valgus (1.68; 1.50, 1.87), type 2 diabetes mellitus (1.49; 1.40, 1.60), obesity (1.38; 1.30, 1.48), and peripheral vascular disease (1.24; 1.14, 1.35) compared to controls. Patients who reported living in low-income households more often had onychocryptosis (reference group annual income >200 k; annual income <10 k USD, OR: 1.76; 95% CI: 1.46, 2.12, p < 0.001 vs. annual income 150-200 k USD, OR: 1.26; 95% CI: 0.99, 1.61, p = 0.06). Conclusion: Low income, obesity, PVD, and T2DM were associated with onychocryptosis diagnosis. It is recommended that these at-risk populations be screened for onychocryptosis and counseled on proper nail trimming techniques. Future studies are needed to examine the relationship between household income and onychocryptosis risk.

6.
J Am Med Inform Assoc ; 31(1): 139-153, 2023 Dec 22.
Artigo em Inglês | MEDLINE | ID: mdl-37885303

RESUMO

OBJECTIVE: The All of Us Research Program (All of Us) aims to recruit over a million participants to further precision medicine. Essential to the verification of biobanks is a replication of known associations to establish validity. Here, we evaluated how well All of Us data replicated known cigarette smoking associations. MATERIALS AND METHODS: We defined smoking exposure as follows: (1) an EHR Smoking exposure that used International Classification of Disease codes; (2) participant provided information (PPI) Ever Smoking; and, (3) PPI Current Smoking, both from the lifestyle survey. We performed a phenome-wide association study (PheWAS) for each smoking exposure measurement type. For each, we compared the effect sizes derived from the PheWAS to published meta-analyses that studied cigarette smoking from PubMed. We defined two levels of replication of meta-analyses: (1) nominally replicated: which required agreement of direction of effect size, and (2) fully replicated: which required overlap of confidence intervals. RESULTS: PheWASes with EHR Smoking, PPI Ever Smoking, and PPI Current Smoking revealed 736, 492, and 639 phenome-wide significant associations, respectively. We identified 165 meta-analyses representing 99 distinct phenotypes that could be matched to EHR phenotypes. At P < .05, 74 were nominally replicated and 55 were fully replicated. At P < 2.68 × 10-5 (Bonferroni threshold), 58 were nominally replicated and 40 were fully replicated. DISCUSSION: Most phenotypes found in published meta-analyses associated with smoking were nominally replicated in All of Us. Both survey and EHR definitions for smoking produced similar results. CONCLUSION: This study demonstrated the feasibility of studying common exposures using All of Us data.


Assuntos
Estudo de Associação Genômica Ampla , Saúde da População , Humanos , Estudo de Associação Genômica Ampla/métodos , Fenótipo , Polimorfismo de Nucleotídeo Único , Fumar
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