Cargando…

Predictors of outcome in early onset schizophrenia: a 10-year follow-up study

BACKGROUND: Younger age at onset is generally thought to be a predictor of poor outcome in Early Onset Schizophrenia (EOS), but there is a paucity of epidemiological data supporting this belief. This study aims to describe long-term outcomes and predictors of patient functioning in EOS, with a focus...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Lingzi, Guo, Yanqing, Cao, Qingjiu, Li, Xue, Mei, Ting, Ma, Zenghui, Tang, Xinzhou, Ji, Zhaozheng, Yang, Liu, Liu, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7023710/
https://www.ncbi.nlm.nih.gov/pubmed/32059664
http://dx.doi.org/10.1186/s12888-020-2484-x
_version_ 1783498309575376896
author Xu, Lingzi
Guo, Yanqing
Cao, Qingjiu
Li, Xue
Mei, Ting
Ma, Zenghui
Tang, Xinzhou
Ji, Zhaozheng
Yang, Liu
Liu, Jing
author_facet Xu, Lingzi
Guo, Yanqing
Cao, Qingjiu
Li, Xue
Mei, Ting
Ma, Zenghui
Tang, Xinzhou
Ji, Zhaozheng
Yang, Liu
Liu, Jing
author_sort Xu, Lingzi
collection PubMed
description BACKGROUND: Younger age at onset is generally thought to be a predictor of poor outcome in Early Onset Schizophrenia (EOS), but there is a paucity of epidemiological data supporting this belief. This study aims to describe long-term outcomes and predictors of patient functioning in EOS, with a focus on the effect of age at onset. METHODS: We consecutively enrolled 118 EOS patients who were hospitalized in 2006. Mean age at baseline was 13.3 ± 2.3 years. Sixty-five subjects were successfully interviewed. Mean length of follow up was 10.4 ± 0.3 years. Baseline data were collected from inpatient medical records, while follow up was conducted primarily through telephone interviews of patient relatives. WHODAS 2.0 was used to measure global functioning at follow up. Outcomes included education, employment, marriage status, physical health, subsequent diagnoses and treatment, and patient functioning. Univariate and multivariate regression models were used to assess predictors of outcome, while propensity scores were used to adjust for confounding in analyzing the effect of age at onset on functional outcome. RESULTS: Of the 65 subjects where follow-up data were available, 3 were deceased at follow up. Five (8%) discontinued treatment. Diagnostic stability was 76%. Nearly a quarter (24%) were using clozapine at follow up. In male and female patients, 61 and 55% respectively were overweight, while 29 and 32% respectively were obese. Sixteen (26%) were economically self-sufficient, while 34 (55%) were unemployed. Thirteen (21%) patients had ever been married. The median WHODAS score was 15 (IQR 2 to 35), roughly corresponding to the 78th percentile on population norms. Extroverted personality (p = 0.01), suspicious personality (p = 0.02), and high level of education (p = 0.001) predicted better functioning. Age of onset was not associated with function in either the univariate model (p = 0.24), full model (p = 0.17) or the final risk factor model (p = 0.11), nor after using propensity scores to further adjust for confounders. CONCLUSION: The long-term functional outcome of EOS is more optimistic than generally believed. Age at disease onset does not predict long-term functional outcome in EOS populations.
format Online
Article
Text
id pubmed-7023710
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-70237102020-02-20 Predictors of outcome in early onset schizophrenia: a 10-year follow-up study Xu, Lingzi Guo, Yanqing Cao, Qingjiu Li, Xue Mei, Ting Ma, Zenghui Tang, Xinzhou Ji, Zhaozheng Yang, Liu Liu, Jing BMC Psychiatry Research Article BACKGROUND: Younger age at onset is generally thought to be a predictor of poor outcome in Early Onset Schizophrenia (EOS), but there is a paucity of epidemiological data supporting this belief. This study aims to describe long-term outcomes and predictors of patient functioning in EOS, with a focus on the effect of age at onset. METHODS: We consecutively enrolled 118 EOS patients who were hospitalized in 2006. Mean age at baseline was 13.3 ± 2.3 years. Sixty-five subjects were successfully interviewed. Mean length of follow up was 10.4 ± 0.3 years. Baseline data were collected from inpatient medical records, while follow up was conducted primarily through telephone interviews of patient relatives. WHODAS 2.0 was used to measure global functioning at follow up. Outcomes included education, employment, marriage status, physical health, subsequent diagnoses and treatment, and patient functioning. Univariate and multivariate regression models were used to assess predictors of outcome, while propensity scores were used to adjust for confounding in analyzing the effect of age at onset on functional outcome. RESULTS: Of the 65 subjects where follow-up data were available, 3 were deceased at follow up. Five (8%) discontinued treatment. Diagnostic stability was 76%. Nearly a quarter (24%) were using clozapine at follow up. In male and female patients, 61 and 55% respectively were overweight, while 29 and 32% respectively were obese. Sixteen (26%) were economically self-sufficient, while 34 (55%) were unemployed. Thirteen (21%) patients had ever been married. The median WHODAS score was 15 (IQR 2 to 35), roughly corresponding to the 78th percentile on population norms. Extroverted personality (p = 0.01), suspicious personality (p = 0.02), and high level of education (p = 0.001) predicted better functioning. Age of onset was not associated with function in either the univariate model (p = 0.24), full model (p = 0.17) or the final risk factor model (p = 0.11), nor after using propensity scores to further adjust for confounders. CONCLUSION: The long-term functional outcome of EOS is more optimistic than generally believed. Age at disease onset does not predict long-term functional outcome in EOS populations. BioMed Central 2020-02-14 /pmc/articles/PMC7023710/ /pubmed/32059664 http://dx.doi.org/10.1186/s12888-020-2484-x Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Xu, Lingzi
Guo, Yanqing
Cao, Qingjiu
Li, Xue
Mei, Ting
Ma, Zenghui
Tang, Xinzhou
Ji, Zhaozheng
Yang, Liu
Liu, Jing
Predictors of outcome in early onset schizophrenia: a 10-year follow-up study
title Predictors of outcome in early onset schizophrenia: a 10-year follow-up study
title_full Predictors of outcome in early onset schizophrenia: a 10-year follow-up study
title_fullStr Predictors of outcome in early onset schizophrenia: a 10-year follow-up study
title_full_unstemmed Predictors of outcome in early onset schizophrenia: a 10-year follow-up study
title_short Predictors of outcome in early onset schizophrenia: a 10-year follow-up study
title_sort predictors of outcome in early onset schizophrenia: a 10-year follow-up study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7023710/
https://www.ncbi.nlm.nih.gov/pubmed/32059664
http://dx.doi.org/10.1186/s12888-020-2484-x
work_keys_str_mv AT xulingzi predictorsofoutcomeinearlyonsetschizophreniaa10yearfollowupstudy
AT guoyanqing predictorsofoutcomeinearlyonsetschizophreniaa10yearfollowupstudy
AT caoqingjiu predictorsofoutcomeinearlyonsetschizophreniaa10yearfollowupstudy
AT lixue predictorsofoutcomeinearlyonsetschizophreniaa10yearfollowupstudy
AT meiting predictorsofoutcomeinearlyonsetschizophreniaa10yearfollowupstudy
AT mazenghui predictorsofoutcomeinearlyonsetschizophreniaa10yearfollowupstudy
AT tangxinzhou predictorsofoutcomeinearlyonsetschizophreniaa10yearfollowupstudy
AT jizhaozheng predictorsofoutcomeinearlyonsetschizophreniaa10yearfollowupstudy
AT yangliu predictorsofoutcomeinearlyonsetschizophreniaa10yearfollowupstudy
AT liujing predictorsofoutcomeinearlyonsetschizophreniaa10yearfollowupstudy