Comorbid diagnoses for youth at clinical high risk of psychosis
Introduction
Studies of young people at high risk of developing psychosis are prominent in the psychosis literature. These young people are at clinical high risk (CHR) of psychosis since the criteria are based on clinical symptoms that include the presence of sub-threshold psychotic symptoms, brief intermittent psychotic symptoms, or the pairing of genetic risk with a decline in functioning (McGlashan et al., 2010, Yung and McGorry, 1996). Interestingly, studies of those at CHR consistently report that these individuals have a high prevalence of comorbid psychiatric diagnoses and, in particular, mood disorders (Fusar-Poli et al., 2013). In the first North American Prodrome Longitudinal Study (NAPLS), the prevalence of any DSM-IV diagnosis of anxiety or depression or both in 377 help-seeking CHR participants was 69% (Woods et al., 2009). In 2012, the European Prediction of Psychosis Study (EPOS) (Salokangas et al., 2012), which included 245 individuals at CHR, reported that 71% of participants were given at least one life-time diagnosis and 62% were assessed as having one or more current diagnoses. Rates of a current depression or anxiety disorder were reported in 34% and 39% respectively of the sample. A more recent study, which included 509 individuals at CHR reported the presence of comorbid Axis I diagnoses in 73% of the sample. More specifically 40% had a depressive disorder, either on its own (26%) or with an anxiety disorder (14%), and 8% had only an anxiety disorder (Fusar-Poli et al., 2014). Additionally, of 226 individuals at CHR who were followed-up between 2 and 14 years following first presentation, 90% of them had a non-psychotic disorder at baseline, which persisted at follow-up for 52% of the sample (Lin et al., 2014). A meta-analysis of 11 studies from 2014 that included 1684 CHR individuals calculated the prevalence of depression and anxiety disorders as 41% and 15% respectively (Fusar-Poli et al., 2014).
Comorbid diagnoses are of concern in that they have been reported to increase the subjective burden of attenuated psychotic symptoms in those at CHR, and to predict poorer long-term outcomes (Wigman et al., 2012). Notably, the distress of depression and anxiety can overshadow that caused by attenuated psychotic symptoms to such an extent that depression and anxiety are most often the primary complaint when CHR individuals are first seeking help (Falkenberg et al., 2015). Furthermore, their role in later conversion to psychosis has not been conclusively explored. In NAPLS-1, except for substance use, comorbid diagnoses were not associated with conversion to psychosis (Woods et al., 2009). In the EPOS study, current bipolar, somatoform and depressive disorders were shown to predict conversion to psychosis, while anxiety disorders predicted non-conversion to a psychotic disorder (Salokangas et al., 2012). In a meta-analysis, during an average follow-up of 3.7 years, no association was found between additional diagnoses at baseline and conversion to a psychotic disorder in 509 CHR individuals (Fusar-Poli et al., 2014). More recently, emergence of non-psychotic disorders, namely mood and anxiety disorders, was reportedly independent of the psychosis risk status whereby individuals at CHR had the same level of risk as their help-seeking counterparts who did not meet criteria for CHR syndrome or psychosis (Fusar-Poli et al., 2017, Webb et al., 2015).
In NAPLS 2, we have previously published on anxiety disorders and substance use. In the first paper, it was reported that 51% of CHR study participants presented with an anxiety disorder but there was no association between baseline anxiety disorder and later conversion to psychosis (McAusland et al., 2015). In the second paper, those at CHR had an increased level of severity of cannabis use with respect to their healthy peers, but did not use cannabis more frequently and no association was reported between cannabis use and later conversion to psychosis (Buchy et al., 2015). However, this paper only focused on ratings of severity and frequency of substance use and not DSM-IV diagnoses.
Here, we focus on the prevalence of Axis I DSM-IV diagnoses in the NAPLS-2 cohort. We have throughout this paper referred to the clinical diagnoses that meet DSM-IV criteria as “comorbid diagnoses”. We appreciate that since the CHR criteria is not an established DSM-V disorder that the use of the term “comorbid” could be misleading. However, it is widely used in the high-risk literature meaning, as we do here, that the individual meets criteria for one or more DSM-IV disorders in addition to meeting the criteria for CHR. The aims of the current study are to determine, first, the frequency and distribution of psychiatric diagnoses at baseline in those at CHR as compared to their healthy peers; secondly, whether there are differences in the baseline prevalence of psychiatric diagnoses between those who developed psychosis and those who did not; and finally, changes in diagnoses over time will be examined.
Section snippets
Participants
Participants were recruited as part of the multi-site NIMH funded NAPLS-2 study. CHR participants were help-seeking and were referred from health care providers, educators or social service agencies, or were self-referred in response to community educational efforts. Each site advertised for healthy controls. The NAPLS 2 sample consisted of 764 CHR individuals (436 males, 328 females) and 279 healthy controls (HC) (141 males, 138 females) recruited across the eight NAPLS 2 sites. Study
Demographics
There were 744 CHR participants (426 males, 318 females) and 276 HCs (139 males, 137 females). The majority of the sample were white, students and lived at home. The CHR group was younger, with fewer years or education. A significantly higher proportion of HCs was employed. Baseline demographics are presented in Table 1.
Conversion
Eighty-six CHR participants converted to psychosis during the two-year study period.
DSM-IV diagnoses
Baseline diagnoses were available for 744 CHR and 276 HC participants. For the CHR sample,
Discussion
This paper examined the comorbid diagnoses of a large sample of help-seeking individuals who were at CHR for developing psychosis. The most common diagnoses were depression and anxiety, with 43% of the sample having a diagnosis of depression and 47% having an anxiety disorder with an additional 9% having either PTSD or OCD. Nineteen percent had an attention deficit hyperactivity disorder, with other diagnoses occurring much less frequently. However, almost 80% of this young sample had a
Role of funder
The NIMH had no further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the paper for publication.
Contributors
Cannon, Addington, Bearden, Cadenhead, Cornblatt, Mathalon, McGlashan, Perkins, Seidman, Tsuang, Walker, Wood designed the study and wrote the main study protocol.
Lockwood and Piskulic managed the literature searches.
Liu, Addington and Piskulic managed the statistical approach.
Liu and Piskulic conducted the statistical analyses.
Addington, Piskulic and Lockwood wrote the introduction.
Addington completed the paper.
All authors contributed to and have approved the final manuscript.
Author conflicts of interest
Dr. Cannon reports that he is a consultant to the Los Angeles County Department of Mental Health and to Boehringer Ingelheim Pharmaceuticals.
Dr. Woods reports that since 2005 he has received investigator-initiated research funding support from UCB Pharma, Glytech, Lilly, Bristol-Myers Squibb, and Pfizer. He has received sponsor-initiated research funding support from Kali-Duphar, Zeneca, Sandoz, Janssen, Auspex, and Teva and has consulted to Otsuka, Schering-Plough, Merck, Biomedisyn (unpaid),
Acknowledgements
This study was supported by the National Institute of Mental Health grant U01MH081984 to Dr. Addington; grants U01 MH081928; P50 MH080272; Commonwealth of Massachusetts SCDMH82101008006 to Dr. Seidman; grants R01 MH60720, U01 MH082022 and K24 MH76191 to Dr. Cadenhead; grant U01MH081902 to Dr. Cannon; P50 MH066286 (Prodromal Core) to Dr. Bearden; grant U01MH082004 to Dr. Perkins; grant U01MH081988 to Dr. Walker; grant U01MH082022 to Dr. Woods; and UO1 MH081857-05 grant to Dr. Cornblatt.
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