Multivariate clustering of progression profiles reveals different depression patterns in prodromal Huntington disease

Ji-in Kim, Jeffrey D Long, James A Mills, Elizabeth McCusker, Jane S Paulsen, PREDICT-HD Investigators And Coordinators Of The Huntington Study Group

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

OBJECTIVE: Although Huntington disease (HD) is caused by an autosomal dominant mutation, its phenotypic presentation differs widely. Variability in clinical phenotypes of HD may reflect the existence of disease subtypes. This hypothesis was tested in prodromal participants from the longitudinal Neurobiological Predictors of Huntington Disease (PREDICT-HD) study.

METHOD: We performed clustering using longitudinal data assessing motor, cognitive, and depression symptoms. Using data from 521 participants with 2,716 data points, we fit growth mixture models (GMM) that identify groups based on multivariate trajectories.

RESULTS: In various GMM, different phases of disease progression were partitioned by progression trajectories of motor and cognitive signs, and by overall level of depression symptoms. More progressed motor signs were accompanied by more progressed cognitive signs, but not always by higher levels of depressive symptoms. In several models, there were at least 2 groups with similar trajectories for motor and cognitive signs that showed different levels for depression symptoms-one with a very low level of depression and the other with a higher level of depression.

CONCLUSIONS: Findings indicate that at least intermediate HD progression might be associated with different levels of depression. Depression is one of the few symptoms that is treatable in HD and has implications for clinical care. Identification of potential depression subtypes may also help to select appropriate patients for clinical trials.

Original languageEnglish
Pages (from-to)949-960
Number of pages12
JournalNeuropsychology
Volume29
Issue number6
DOIs
Publication statusPublished - Nov 2015

Fingerprint

Huntington Disease
Cluster Analysis
Depression
Disease Progression
Neurobehavioral Manifestations
Growth
Clinical Trials
Phenotype
Mutation

Keywords

  • Adult
  • Cluster Analysis
  • Depression
  • Disease Progression
  • Female
  • Humans
  • Huntington Disease
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Prodromal Symptoms
  • Journal Article
  • Observational Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

Cite this

Kim, J., Long, J. D., Mills, J. A., McCusker, E., Paulsen, J. S., & PREDICT-HD Investigators And Coordinators Of The Huntington Study Group (2015). Multivariate clustering of progression profiles reveals different depression patterns in prodromal Huntington disease. Neuropsychology, 29(6), 949-960. https://doi.org/10.1037/neu0000199

Multivariate clustering of progression profiles reveals different depression patterns in prodromal Huntington disease. / Kim, Ji-in; Long, Jeffrey D; Mills, James A; McCusker, Elizabeth; Paulsen, Jane S; PREDICT-HD Investigators And Coordinators Of The Huntington Study Group.

In: Neuropsychology, Vol. 29, No. 6, 11.2015, p. 949-960.

Research output: Contribution to journalArticle

Kim, J, Long, JD, Mills, JA, McCusker, E, Paulsen, JS & PREDICT-HD Investigators And Coordinators Of The Huntington Study Group 2015, 'Multivariate clustering of progression profiles reveals different depression patterns in prodromal Huntington disease', Neuropsychology, vol. 29, no. 6, pp. 949-960. https://doi.org/10.1037/neu0000199
Kim J, Long JD, Mills JA, McCusker E, Paulsen JS, PREDICT-HD Investigators And Coordinators Of The Huntington Study Group. Multivariate clustering of progression profiles reveals different depression patterns in prodromal Huntington disease. Neuropsychology. 2015 Nov;29(6):949-960. https://doi.org/10.1037/neu0000199
Kim, Ji-in ; Long, Jeffrey D ; Mills, James A ; McCusker, Elizabeth ; Paulsen, Jane S ; PREDICT-HD Investigators And Coordinators Of The Huntington Study Group. / Multivariate clustering of progression profiles reveals different depression patterns in prodromal Huntington disease. In: Neuropsychology. 2015 ; Vol. 29, No. 6. pp. 949-960.
@article{c33ab0cfe53843a4b9b3467b7b47bfe6,
title = "Multivariate clustering of progression profiles reveals different depression patterns in prodromal Huntington disease",
abstract = "OBJECTIVE: Although Huntington disease (HD) is caused by an autosomal dominant mutation, its phenotypic presentation differs widely. Variability in clinical phenotypes of HD may reflect the existence of disease subtypes. This hypothesis was tested in prodromal participants from the longitudinal Neurobiological Predictors of Huntington Disease (PREDICT-HD) study.METHOD: We performed clustering using longitudinal data assessing motor, cognitive, and depression symptoms. Using data from 521 participants with 2,716 data points, we fit growth mixture models (GMM) that identify groups based on multivariate trajectories.RESULTS: In various GMM, different phases of disease progression were partitioned by progression trajectories of motor and cognitive signs, and by overall level of depression symptoms. More progressed motor signs were accompanied by more progressed cognitive signs, but not always by higher levels of depressive symptoms. In several models, there were at least 2 groups with similar trajectories for motor and cognitive signs that showed different levels for depression symptoms-one with a very low level of depression and the other with a higher level of depression.CONCLUSIONS: Findings indicate that at least intermediate HD progression might be associated with different levels of depression. Depression is one of the few symptoms that is treatable in HD and has implications for clinical care. Identification of potential depression subtypes may also help to select appropriate patients for clinical trials.",
keywords = "Adult, Cluster Analysis, Depression, Disease Progression, Female, Humans, Huntington Disease, Longitudinal Studies, Male, Middle Aged, Prodromal Symptoms, Journal Article, Observational Study, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't",
author = "Ji-in Kim and Long, {Jeffrey D} and Mills, {James A} and Elizabeth McCusker and Paulsen, {Jane S} and {PREDICT-HD Investigators And Coordinators Of The Huntington Study Group}",
note = "(c) 2015 APA, all rights reserved).",
year = "2015",
month = "11",
doi = "10.1037/neu0000199",
language = "English",
volume = "29",
pages = "949--960",
journal = "Neuropsychology",
issn = "0894-4105",
publisher = "American Psychological Association Inc.",
number = "6",

}

TY - JOUR

T1 - Multivariate clustering of progression profiles reveals different depression patterns in prodromal Huntington disease

AU - Kim, Ji-in

AU - Long, Jeffrey D

AU - Mills, James A

AU - McCusker, Elizabeth

AU - Paulsen, Jane S

AU - PREDICT-HD Investigators And Coordinators Of The Huntington Study Group

N1 - (c) 2015 APA, all rights reserved).

PY - 2015/11

Y1 - 2015/11

N2 - OBJECTIVE: Although Huntington disease (HD) is caused by an autosomal dominant mutation, its phenotypic presentation differs widely. Variability in clinical phenotypes of HD may reflect the existence of disease subtypes. This hypothesis was tested in prodromal participants from the longitudinal Neurobiological Predictors of Huntington Disease (PREDICT-HD) study.METHOD: We performed clustering using longitudinal data assessing motor, cognitive, and depression symptoms. Using data from 521 participants with 2,716 data points, we fit growth mixture models (GMM) that identify groups based on multivariate trajectories.RESULTS: In various GMM, different phases of disease progression were partitioned by progression trajectories of motor and cognitive signs, and by overall level of depression symptoms. More progressed motor signs were accompanied by more progressed cognitive signs, but not always by higher levels of depressive symptoms. In several models, there were at least 2 groups with similar trajectories for motor and cognitive signs that showed different levels for depression symptoms-one with a very low level of depression and the other with a higher level of depression.CONCLUSIONS: Findings indicate that at least intermediate HD progression might be associated with different levels of depression. Depression is one of the few symptoms that is treatable in HD and has implications for clinical care. Identification of potential depression subtypes may also help to select appropriate patients for clinical trials.

AB - OBJECTIVE: Although Huntington disease (HD) is caused by an autosomal dominant mutation, its phenotypic presentation differs widely. Variability in clinical phenotypes of HD may reflect the existence of disease subtypes. This hypothesis was tested in prodromal participants from the longitudinal Neurobiological Predictors of Huntington Disease (PREDICT-HD) study.METHOD: We performed clustering using longitudinal data assessing motor, cognitive, and depression symptoms. Using data from 521 participants with 2,716 data points, we fit growth mixture models (GMM) that identify groups based on multivariate trajectories.RESULTS: In various GMM, different phases of disease progression were partitioned by progression trajectories of motor and cognitive signs, and by overall level of depression symptoms. More progressed motor signs were accompanied by more progressed cognitive signs, but not always by higher levels of depressive symptoms. In several models, there were at least 2 groups with similar trajectories for motor and cognitive signs that showed different levels for depression symptoms-one with a very low level of depression and the other with a higher level of depression.CONCLUSIONS: Findings indicate that at least intermediate HD progression might be associated with different levels of depression. Depression is one of the few symptoms that is treatable in HD and has implications for clinical care. Identification of potential depression subtypes may also help to select appropriate patients for clinical trials.

KW - Adult

KW - Cluster Analysis

KW - Depression

KW - Disease Progression

KW - Female

KW - Humans

KW - Huntington Disease

KW - Longitudinal Studies

KW - Male

KW - Middle Aged

KW - Prodromal Symptoms

KW - Journal Article

KW - Observational Study

KW - Research Support, N.I.H., Extramural

KW - Research Support, Non-U.S. Gov't

U2 - 10.1037/neu0000199

DO - 10.1037/neu0000199

M3 - Article

VL - 29

SP - 949

EP - 960

JO - Neuropsychology

JF - Neuropsychology

SN - 0894-4105

IS - 6

ER -