Identifying non-genetic factors associated with trigger finger.

BACKGROUND: The non-genetic factors predisposing to trigger finger (TF) have mostly been characterised in small studies from individual institutions. Here, we aimed to provide a more complete picture of TF and its associations. METHODOLOGY: This case-control study used cross-sectional data from the UK Biobank population-based cohort to identify and determine the strength of associations of phenotypic variables with TF. We performed multivariable logistic regression of a multitude of phenotypic factors associated with TF. RESULTS: We identified 2250 individuals with medical and surgical diagnostic codes for TF, and 398,495 controls. TF was found to be significantly associated with age (OR 1.04, 95% CI 1.03-1.04, P < 2.23×10-308), female sex (OR 1.22, 95% CI 1.08-1.39, P = 2.35×10-3), body mass index (OR 1.10, 95% CI 1.04-1.16, P = 5.52×10-4), carpal tunnel syndrome (OR 9.59, 95% CI 8.68-10.59, P < 2.23×10-308), Dupuytren's disease (OR 4.89, 95% CI 4.06-5.89, P < 2.23×10-308), diabetes mellitus without complications (OR 1.35, 95% CI 1.15-1.58, P = 2.03×10-4) and with complications (OR 2.46, 95% CI 1.90-3.17, P = 4.98×10-12), HbA1c (OR 1.01, 95% CI 1.01-1.02, P = 8.99×10-9), hypothyroidism (OR 1.24, 95% CI 1.07-1.43, P = 4.75×10-3) and rheumatoid arthritis (OR 1.33, 95% CI 1.06-1.68, P = 0.014). CONCLUSION: Our results provide evidence supporting the well-known risk factors such as diabetes mellitus, carpal tunnel syndrome, age and female sex. Furthermore, we can confirm putative associations such as hypothyroidism, obesity and rheumatoid arthritis, while providing evidence against others such as hypertension and hyperlipidaemia. A novel finding arising from this study is the strong association with Dupuytren's disease. Our study design allowed us to identify these associations as being independent from carpal tunnel syndrome, thereby indicating a shared pathophysiology between this disease and TF.

Modifiable Risk Factors for Prevention in Dupuytren Disease: A UK Biobank Case-Control Study.

BACKGROUND: Dupuytren disease is associated with significant comorbidity and mortality, and it has no existing prevention strategies. It is unclear which modifiable risk factors are most amenable for prevention. This study aimed to determine the strength of modifiable risk factors for Dupuytren disease, and to investigate associations with other diseases. METHODS: Using UK Biobank data, this case-control study analyzed the association between phenotypic variables and Dupuytren disease through multivariable logistic regression. Exposures assessed were age, sex, body mass index, waist-to-hip ratio, Townsend deprivation index, smoking status, alcohol intake, diabetes mellitus, hypertension, cancer, liver disease, respiratory disease, rheumatoid arthritis, epilepsy, psoriasis, and gout. RESULTS: There were 4148 cases and 397,425 controls. Male sex (OR, 3.23; 95% CI, 2.90 to 3.60; P = 1.07 × 10 -100 ), increasing age (OR, 1.08; 95% CI, 1.07 to 1.08; P = 6.78 × 10 -167 ), material deprivation (OR, 1.01; 95% CI, 1.00 to 1.02; P = 0.0305), high-density lipoprotein cholesterol (OR, 1.76; 95% CI, 1.58 to 1.96; P = 3.35 × 10 -24 ), smoking exposure, and alcohol intake were all associated with increased odds of Dupuytren disease. With increasing obesity class, there was approximately 25% decreased odds (OR, 0.774; 95% CI, 0.734 to 0.816; P = 4.71 × 10 -21 ). Diabetes with microvascular or end-organ complications was associated with more than 2.5 times increased odds of Dupuytren disease (OR, 2.59; 95% CI, 1.92 to 3.44; P = 1.92 × 10 -10 ). Within this group, increasing hemoglobin A1c values by 10 mmol/mol, or 0.9%, increased the odds by 31% (OR, 1.31; 95% CI, 1.13 to 1.51; P = 2.19 × 10 -4 ). CONCLUSION: Diabetes and poor glycemic control are major risk factors for Dupuytren disease, which present an opportunity for prevention. CLINICAL QUESTION/LEVEL OF EVIDENCE: Risk, III.

Genetic correlations between migraine and carpal tunnel syndrome.

BACKGROUND: Surgical deactivation of extracranial nerve trigger sites is now well-established as an effective treatment for migraine headache. Parallels have been drawn to median nerve decompression for carpal tunnel syndrome (CTS), and two previous studies have demonstrated an association between migraine and CTS. We sought to: (1) substantiate these findings in a considerably larger UK cohort, and; (2) investigate potential genetic associations between the two disorders. METHODS: Nested case-control studies were conducted in the UK Biobank cohort of 401,656 individuals. Odds ratios were calculated for the association between migraine and CTS in the overall cohort and sex-stratified subsets. Genetic correlation between migraine and CTS was interrogated by linkage disequilibrium score regression (LDSC), leveraging data from published genome-wide association studies. Regions of genetic overlap were identified by Multi-Trait Analysis of GWAS (MTAG) and Cross-Phenotype Association (CPASSOC). RESULTS: Migraine and CTS show a significant epidemiological association within UK Biobank (OR=1.14, 95% CI: 1.04-1.25, p=0.0058), which is specific to females (OR=1.15; 95% CI: 1.04-1.28, p=0.0057) and not males (OR=1.07; 95% CI: 0.82-1.40, p=0.61). Genetic analysis demonstrated a significant positive genetic correlation between the two disorders (rg=0.13, p=0.0039), and implicated the TRIM32 locus on chromosome 9 as a region of genetic overlap. CONCLUSIONS: This study replicates past reports of an epidemiological association between CTS and migraine, albeit in females only. This association is underpinned by a genetic correlation, with shared genetic susceptibility at the TRIM32 locus. Our data adds credibility to the notion that an element of entrapment neuropathy underlies migraine pathophysiology.