.png){kind=icon}
.png){kind=icon}
Return
A network perspective on posttraumatic stress disorder and comorbid borderline personality disorder symptoms
.png){kind=icon}
OA
AI
A
R
W
J
A
K
DOI：10.1080/20008066.2024.2367815.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Background: Comorbidity between posttraumatic stress disorder (PTSD) and borderline personality disorder (BPD) is surrounded by diagnostic controversy and although various effective treatments exist, dropout and nonresponse are high.Objective: By estimating the network structure of comorbid PTSD and BPD symptoms, the current study illustrates how the network perspective offers tools to tackle these challenges.Method: The sample comprised of 154 patients with a PTSD diagnosis and BPD symptoms, assessed by clinician-administered interviews. A regularised partial correlation network was estimated using the GLASSO algorithm in R. Central symptoms and bridge symptoms were identified. The reliability and accuracy of network parameters were determined through bootstrapping analyses.Results: PTSD and BPD symptoms largely clustered into separate communities. Intrusive memories, physiological cue reactivity and loss of interest were the most central symptoms, whereas amnesia and suicidal behaviour were least central.Conclusions: Present findings suggest that PTSD and BPD are two distinct, albeit weakly connected disorders. Treatment of the most central symptoms could lead to an overall deactivation of the network, while isolated symptoms would need more specific attention during therapy. Further experimental, longitudinal research is needed to confirm these hypotheses.Trial registration: ClinicalTrials.gov identifier: NCT03833453. A network analysis of PTSD and BPD symptoms.PTSD and BPD symptoms largely clustered into separate communities.Intrusive memories, loss of interest and physiological cue reactivity seem valuable treatment targets. Antecedentes: La comorbilidad entre el trastorno de estr & eacute;s postraum & aacute;tico (TEPT) y el trastorno l & iacute;mite de personalidad (TLP) est & aacute; rodeado de controversia diagnostica y aunque existen varios tratamientos efectivos, la tasa de abandono y no respuesta son altas.Objetivo: Al estimar la estructura de red de los s & iacute;ntomas com & oacute;rbidos de TEPT y TLP, el presente estudio ilustra c & oacute;mo la perspectiva de red ofrece herramientas para abordar estos desaf & iacute;os.M & eacute;todo: La muestra se compuso por 154 pacientes con diagn & oacute;stico de TEPT y s & iacute;ntomas de TLP, evaluados mediante entrevistas administradas por el cl & iacute;nico. Se estimo una red de correlaci & oacute;n parcial regularizada utilizando el algoritmo GLASSO en R. Se identificaron los s & iacute;ntomas centrales y los s & iacute;ntomas puente. La confiabilidad y precisi & oacute;n de los par & aacute;metros de la red se determinaron mediante an & aacute;lisis de Bootstrap.Resultados: Los s & iacute;ntomas de TEPT y TLP se agruparon en gran medida en dos grupos separados. Los recuerdos intrusivos, la reactividad a las se & ntilde;ales fisiol & oacute;gicas y la p & eacute;rdida del inter & eacute;s fueron los s & iacute;ntomas m & aacute;s centrales, mientras que la amnesia y la conducta suicida fueron las menos centrales.Conclusiones: Los hallazgos actuales sugieren que el TEPT y TLP son dos trastornos distintos, aunque d & eacute;bilmente conectados. El tratamiento de los s & iacute;ntomas m & aacute;s centrales podr & iacute;a llevar a una desactivaci & oacute;n general de la red, mientras que los s & iacute;ntomas aislados requerir & iacute;an una atenci & oacute;n m & aacute;s espec & iacute;fica durante la terapia. Se necesitan m & aacute;s investigaciones experimentales y longitudinales para confirmar estas hip & oacute;tesis.
Keywords:
PTSD
borderline personality disorder
network analysis
TEPT
trastorno de personalidad
an & aacute
lisis de redes
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.1
Papers:
3.6K
Citations:
6.8K
Organization
Cited Papers