Psychiatric Comorbidities in Pediatric Trichotillomania: A Multicenter Cohort Study.

Pediatr Dermatol

Department of Dermatology, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA.

Published: October 2024

AI Article Synopsis

  • Pediatric patients with trichotillomania (TTM) have a significantly increased risk of developing various psychiatric disorders compared to matched controls.
  • The study involved a large case-control analysis using data from the TriNetX global research network, focusing on patients under 18 diagnosed with TTM.
  • Results highlighted that TTM patients are particularly susceptible to conditions like ADHD, obsessive-compulsive disorder, and mood disorders, indicating the need for timely intervention and support from healthcare professionals.

Article Abstract

Background: Trichotillomania (TTM) significantly increases the risk of psychiatric comorbidities. Sparse research in pediatric populations necessitates larger studies to assess these risks. This study investigates the risk of developing psychiatric comorbidities in pediatric TTM patients.

Methods: This case-control study assessed pediatric patients (< 18 years old) with TTM diagnosed between May 18, 2013, and January 1, 2024, using US-based data from the TriNetX global research network. TTM patients (ICD-10 diagnostic category F63.3) aged 18 years or younger at diagnosis and control patients (ICD-10 code Z00.129) matched for age, sex, race, and ethnicity were assessed. Propensity score matching yielded 16,590 patients in each cohort. The analysis assessed subsequent diagnoses of ADHD, conduct disorders, tic disorders, obsessive-compulsive disorder, anxiety disorders, dissociative, stress-related, and somatoform disorders, mood disorders, and suicide attempts compared to controls.

Results: TTM patients under 18 years exhibited significantly greater risks of subsequent diagnoses for ADHD (OR: 2.002; CI 1.841-2.178; p < 0.001), conduct disorders (OR: 3.668; 3.2-3.668; p < 0.0001), tic disorders (OR: 2.247; 1.826-2.765; p < 0.0001), obsessive-compulsive disorder (OR: 11.047; 8.822-13.832; p < 0.0001), anxiety disorders (OR: 3.583; 3.387-3.7; p < 0.0001), dissociative, stress-related, and somatoform disorders (OR: 6.179; 3.935-9.701; p < 0.0001), mood disorders (OR: 2.476; 2.288-2.68; p < 0.0001), and suicide attempts (OR: 1.81; 1.121-2.924; p = 0.0139) compared to controls. TTM patients had the greatest risk of psychiatric diagnosis 1 year postindex event.

Conclusions: Pediatric TTM patients have higher psychiatric comorbidity risks, necessitating timely intervention and comprehensive management. Dermatologists can facilitate access to behavioral and pharmacological care, enhancing patient outcomes.

Download full-text PDF

Source
http://dx.doi.org/10.1111/pde.15791DOI Listing

Publication Analysis

Top Keywords

psychiatric comorbidities
12
comorbidities pediatric
8
pediatric
4
pediatric trichotillomania
4
trichotillomania a multicenter
4
a multicenter cohort
4
cohort study
4
study background
4
background trichotillomania
4
trichotillomania ttm
4

Similar Publications

Introduction: The clinical, research and advocacy communities for Rett syndrome are striving to achieve clinical trial readiness, including having fit-for-purpose clinical outcome assessments. This study aimed to (1) describe psychometric properties of clinical outcome assessment for Rett syndrome and (2) identify what is needed to ensure that fit-for-purpose clinical outcome assessments are available for clinical trials.

Methods: Clinical outcome assessments for the top 10 priority domains identified in the Voice of the Patient Report for Rett syndrome were compiled and available psychometric data were extracted.

View Article and Find Full Text PDF

Liver transplantation in acute liver failure.

Best Pract Res Clin Gastroenterol

December 2024

Liver Intensive Care Unit, Centre Hépato-Biliaire, AP-HP, Hôpital Paul-Brousse, Université Paris-Saclay, Inserm research unit 1193, Villejuif, F-94800, France. Electronic address:

ABO-compatible Orthotopic Liver Transplantation (OLT) is the standard treatment for patients with acute liver failure (ALF) who meet the criteria for poor prognosis. Contraindications to liver transplantation may be related to the presence of severe medical or psychiatric comorbidities, or to an unstable clinical state incompatible with transplantation. Early mortality predictive scores and factors have been developed to identify futile transplantations that exacerbate organ shortage.

View Article and Find Full Text PDF

Severe maternal morbidity and potential disparities by race and rurality among VA-covered births, 2010 to 2020.

Am J Obstet Gynecol

December 2024

VA Health Economics Resource Center (HERC), US Department of Veterans Affairs, VA Palo Alto Health Care System, Menlo Park, CA, USA; VA HSR&D Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, Palo Alto, CA, USA; Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.

View Article and Find Full Text PDF

Breast cancer is the most commonly diagnosed cancer worldwide, with early detection and advanced treatments contributing to declining mortality rates. However, managing comorbid conditions, particularly mental illness, presents significant challenges for cancer treatment. This study systematically reviews and meta-analyses the impact of having a pre-existing mental illness on breast cancer treatment utilisation, focusing on specific treatments and comparing different mental illnesses.

View Article and Find Full Text PDF

Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations.

Cell

December 2024

Program in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT 06511, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06511, USA; Department of Computer Science, Yale University, New Haven, CT 06511, USA; Department of Biomedical Informatics and Data Science, Yale University, New Haven, CT 06511, USA; Department of Statistics and Data Science, Yale University, New Haven, CT 06511, USA. Electronic address:

Psychiatric disorders are influenced by genetic and environmental factors. However, their study is hindered by limitations on precisely characterizing human behavior. New technologies such as wearable sensors show promise in surmounting these limitations in that they measure heterogeneous behavior in a quantitative and unbiased fashion.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!