Prevalence and predictors of Twiddler's syndrome.

ABSTRACT

BACKGROUND: Twiddler's syndrome is a poorly understood clinical phenomenon when patients either consciously or subconsciously rotate their cardiac device resulting in lead dislodgement. We aimed to determine the true prevalence and risk factors associated with Twiddler's syndrome in a real-world population. METHODS: A retrospective chart review was performed on all patients who underwent cardiac device implantation from January 1st 2017 until Jan 1st 2022. We specifically searched for the terms "Twiddler" or "Twiddler's" imbedded within the text of the medical chart. Demographic and clinical variables were collected from the electronic medical record system. We utilized multivariable logistic regression analysis as well as Kaplan-Meier prediction models to determine independent clinical predictors of Twiddler's syndrome as well as associated mortality, respectively. RESULTS: Twenty one out of 1793 patients (1.2%) were identified as having Twiddler's syndrome after chart review. Independent variables associated with Twiddler's syndrome were female sex (OR 3.76; 95% CI 1.29-10.95), antidepressant medications (OR 3.58; 95% CI 1.07-11.99), and BMI (OR 1.08; 95% CI 1.03-1.31). There was no increased six-month mortality via Kaplan-Meier analysis. CONCLUSION: Our study shows that 1.2% of patients in our real-world population had evidence of Twiddler's syndrome. Independent predictors of Twiddler's syndrome include female sex, antidepressant medications as well as BMI.