Abstract
It remains unclear whether the onset of psychosis is associated with deterioration in cognitive performance. The aim of this study was to examine the course of cognitive performance in an ultrahigh risk (UHR) cohort, and whether change in cognition is associated with transition to psychosis and change in functioning. Consecutive admissions to Personal Assessment and Crisis Evaluation (PACE) Clinic between May 1994 and July 2000 who had completed a comprehensive cognitive assessment at baseline and follow-up were eligible (N = 80). Follow-up ranged from 7.3 to 13.4 years (M = 10.4 years; SD = 1.5). In the whole sample, significant improvements were observed on the Similarities (P = .03), Information (P < .01), Digit Symbol Coding (P < .01), and Trail Making Test-B (P = .01) tasks, whereas performance on the Rey Auditory Verbal Learning Test (Trials 1–3) declined significantly (P < .01) over the follow-up period. Change in performance on cognitive measures was not significantly associated with transition status. Taking time to transition into account, those who transitioned after 1 year showed significant decline on Digit Symbol Coding, whereas those who did not transition improved on this measure (P = .01; effect size [ES] = 0.85). Small positive correlations were observed between improvements in functioning and improvements in performance on Digit Symbol Coding and Arithmetic (0.24, P = .03 and 0.28, P = .01, respectively). In summary, the onset of psychosis was not associated with deterioration in cognitive ability. However, specific findings suggest that immediate verbal learning and memory, and processing speed may be relevant domains for future risk models and early intervention research in UHR individuals.
Keywords: longitudinal, cognition, ultrahigh risk, clinical high risk, prodrome, psychosis, functioning
Introduction
Cognitive impairments emerge early and are considered markers of vulnerability for psychosis. Offspring of parents with schizophrenia perform more poorly than offspring of unaffected people across several cognitive domains, eg, Byrne et al1 and Seidman et al.2 In addition, individuals at genetic risk who later develop schizophrenia have been differentiated from those who do not on tasks of attention3,4 and verbal memory.3,5 Cohort studies have shown that lower cognitive function in childhood and adolescence is associated with the later development of psychosis.6–12 Although these findings suggest neurodevelopmental vulnerability expressed as cognitive difficulties is associated with psychotic disorder, the course of cognition from pre- to post-psychosis onset remains unclear. The current study sought to address this by examining change in cognition in an ultrahigh risk (UHR) sample over a mean of 10 years.
Longitudinal assessment before and after the development of psychotic disorder is necessary to determine whether progressive cognitive changes occur in association with psychosis onset. These investigations are relatively rare. In the Dunedin population cohort study, Meier et al13 prospectively examined cognition at age 7, 9, 11, 13, and 38 and compared individuals who had been diagnosed with schizophrenia, persistent depression, low childhood IQ, and healthy controls. A significant decline in IQ was only observed in the schizophrenia group, with the main drop occurring between ages 13 and 38. Analysis of raw score cognitive test performances showed that in the schizophrenia group significant decline was observed in processing speed, verbal learning, mental flexibility, and motor function.14 More recently, Mollon et al15 mapped IQ change from 18 months, 4, 8, 15, and 20 years of age within the Avon Longitudinal Study of Parents and Children (ALSPAC) study. Individuals who developed psychotic disorder (compared to those with depression, psychotic experiences, and healthy controls) showed increasing deficits in Full-Scale and Performance IQ from age 18 months to 20 years, whereas Verbal IQ declined early and remained statically impaired from age 8 to 20 years. On the basis of raw scores, increasing lag (ie, attenuated improvement, but not decline/worsening of performance) in processing speed, working memory, and attention were also observed from age 8 to 20 years. These studies further support the neurodevelopmental model of psychosis, with equivocal evidence of progressive decline in specific cognitive domains in association with psychotic disorder.
Studies of individuals at UHR for psychosis show cognitive performance at an intermediate level to healthy controls and individuals with first-episode psychosis.16–19 Those who later develop psychotic disorder are found to have larger impairments compared to their UHR counterparts who do not transition to psychosis.16–20 Findings have been inconsistent regarding the domains affected, with intelligence,17–19,21 verbal fluency,18,22 working memory,18,20 attention,16 processing speed,16 and visual16,18,20 and verbal memory16,18 all implicated. The magnitude of baseline impairment in UHR participants who transition to psychosis (relative to healthy controls) is shown to be comparable to first-episode populations, particularly in IQ, visual and verbal memory, and processing speed,16 suggesting that most cognitive impairment may occur before the onset of full threshold disorder. This evidence is primarily based on cross-sectional research comparing different samples across different clinical stages. Knowledge about the course of cognitive functioning prior to and during illness onset, and specifically, whether impairments in UHR individuals who develop psychotic disorder are progressive remains limited.
Longitudinal studies of UHR individuals have captured the course of cognitive functioning close to illness onset. Meta-analytic findings of 4 studies suggest that cognition either remains stable or improves from pre- to post-psychosis onset,23 a finding replicated in a recent study.24 An early small exploratory study from our group showed that a decline in visual memory and mental flexibility was associated with transition in 7 UHR individuals over a 12-month period.25 Using a healthy comparison group to reference predicted cognitive performance over 1 year, Woodberry et al26 found in UHR sample, progressive impairment on tests of verbal memory and executive function, with larger (but nonsignificant) verbal memory impairment observed in those who developed psychosis (n = 10) compared with those who did not (n = 43). Thus, the current evidence for progression of cognitive impairment from pre- to post-psychosis remains equivocal. Previous UHR studies have assessed individuals over reasonably short follow-up periods (<18 months), increasing the chance of missing cases who will transition later and potentially missing changes over longer periods.
Differences between those who do and do not progress to psychosis has been the primary outcome of interest in UHR studies investigating cognitive change. However, this approach ignores the heterogeneous composition of the group that do transition, and the arbitrary nature of the threshold for frank psychosis.27 Studying an alternative outcome may further clarify the course of cognition during the UHR state. One candidate is functional outcome.27,28 Mounting evidence demonstrates continued functional impairment in UHR, even in those who do not transition.29,30 Only two small studies have examined whether longitudinal change in cognition is associated with change in functioning in UHR individuals. One study showed change in verbal learning and memory and processing speed were associated with change in functioning over 8 months31 and another found that change in semantic fluency was associated with changes in negative symptoms and functioning over 2 years.32 Further studies are needed to clarify the relationship between cognitive and functional change in UHR samples.
In this study, we investigated change in cognitive performance in a UHR cohort followed up for a mean of 10 years. This study overlaps with but supersedes the earlier study by Wood et al,25 with a much larger sample size and follow-up period. We aimed to extend current knowledge by investigating cognitive performance over a longer follow-up period than previous UHR studies and to examine whether there is a relationship between cognitive changes and transition to psychosis, as well as change in functioning. Given our long follow-up and evidence from longitudinal cohort studies, we hypothesized that significantly greater cognitive decline would be evident in UHR individuals who transitioned to psychosis, relative to those who did not transition over a 10-year period. Any improvements in cognition were hypothesized to be associated with improvements in functioning.
Methods
Participants and Procedure
Participants were part of a larger long-term follow-up study that aimed to locate and reassess all UHR research participants recruited from the Personal Assessment and Crisis Evaluation (PACE) Clinic, Melbourne, Australia, between 1993 and 2006 (PACE 400).33 At follow-up, 268 (64.4%) participants underwent a comprehensive face-to-face interview, including assessment of psychopathology and cognition. The cognitive battery was not composed of the same measures over the entire baseline period. For the current report, only participants recruited between May 1994 and July 2000 were selected because the cognitive battery was consistent over this period and included a comprehensive assessment of IQ and cognitive domains. The follow-up rate during this period was 69.6%. Reasons for failure to follow-up were refusal of interview (13.7%), unable to locate the participant (12.7%), and deceased (3.9%). The sample included in the analysis comprised individuals who completed baseline and follow-up cognitive assessments (N = 80). Comparison on demographic and clinical variables between individuals recruited prior to July 2000 who did (N = 80) and who did not (N = 124) complete the baseline and follow-up cognitive assessments, showed that the former group were significantly older (P = .042) and had higher baseline anxiety symptoms (P = .044), but there were no other significant differences.
At baseline, participants were aged 15–30 years and met one or more of the operationalized UHR criteria, assessed using the Comprehensive Assessment of At-Risk Mental States (CAARMS).34 These criteria are 1. attenuated psychotic symptoms (APS), 2. brief limited intermittent psychotic symptoms (BLIPS), and/or 3. trait vulnerability for psychotic illness (schizotypal personality disorder or history of psychosis in a first-degree relative) and deterioration in functioning or chronic low functioning. Exclusion criteria for PACE are a previous psychotic episode (treated or untreated), organic cause for presentation, or past antipsychotic exposure equivalent to a total haloperidol dose of >50 mg. Participants in cognition research were also required to have normal (or corrected-to-normal) vision and hearing, and speak English as their preferred language. Exclusion criteria were a neurological disorder and a history of significant head injury or seizures.
Participants completed identical versions of the cognitive tasks at baseline and follow-up. For those who transitioned to psychosis, the follow-up cognitive assessment occurred 1.2–12 years (mean = 8.6, SD = 2.8) after transition. For the entire sample, the mean length of follow-up (ie, from baseline to follow-up) was 10.4 years (SD = 1.4, median = 10.7, range 7.3–13.1 years), corresponding to a mean follow-up age of 30.5 years (SD = 3.7, range 24–40 years). Of note, the mean and median length of follow-up was identical for both the transitioned and non-transitioned groups. The study was approved by the Melbourne Health Research and Ethics Committee. All participants provided written informed consent at both assessments.
Measures
The CAARMS34 was used to establish UHR status at baseline and transition to frank psychosis over the follow-up period. Transition psychotic diagnosis was confirmed using the Structured Clinical Interview for DSM-IV.35 At baseline and follow-up, functioning was measured using the Quality of Life Scale (QLS),36 with change in functioning calculated as follow-up minus baseline total QLS score. Symptom measures included the Brief Psychiatric Rating Scale, psychotic subscale,37 Scale for the Assessment of Negative Symptoms,38 and Hamilton Rating Scales for Depression and Anxiety (HAMD and HAMA, respectively).39,40 At follow-up, participants were asked about their exposure to mental health treatment over the follow-up period, including medication (never, sometimes, most of the time), psychotherapy (yes/no), number of hospitalizations, and electroconvulsive therapy (yes/no).
Current IQ was measured using the Wechsler Adult Intelligence Scale-Revised (WAIS-R).41 IQ was estimated using either 1. Ward’s42 7-subtest estimate of Verbal, Performance and Full-Scale IQ (FSIQ), based on subtests Information, Picture Completion, Block Design, Arithmetic, Digit Span, Similarities, and Digit Symbol Coding, or 2. Kaufman’s 4-subtest43 estimate of FSIQ, based on subtests Digit Symbol Coding, Similarities, Arithmetic, and Picture Completion. Previous research in schizophrenia shows that both short-forms provide reliable estimates of IQ.44,45 Thus, the FSIQ estimate from either WAIS-R short-form was used in the current analysis.
Memory was assessed using Logical Memory I, Visual Reproduction I, and Verbal Paired Associates I (VPA) from the Wechsler Memory Scale-Revised.46 The Verbal Memory Index was calculated from Logical Memory I and VPA I. A modified 3-trial version of the Rey Auditory Verbal Learning Test (RAVLT)47 was used to assess immediate verbal learning and memory. The Trail Making Test (TMT)48 was used to assess processing speed and basic attention (TMT-A total time) and divided attention and cognitive flexibility (TMT-B total time). Apart from the IQ and memory indices, raw scores were used for all other cognitive tasks. This decision was made because the long follow-up period would result in different normative data being used for each participant at each time point; within different normative age bands, there may be variation in ability in the standardization samples, which would impact standard scores. Furthermore, normative data for each cognitive task (eg, TMT, RAVLT, WAIS subtests) come from different standardization samples.
Statistical Analyses
Data were analyzed using R version 3.4.3.49 To examine whether change in cognition was associated with transition to psychosis, general linear model (GLM) analysis was applied with change in cognitive scores as the dependent variable and transition status (no/yes) as the independent variable. For each cognitive measure, the corresponding baseline cognitive score and time to follow-up were included as covariates. To incorporate time to transition into the analysis, transition status was treated as a factor on 3 levels: 1. no known transition, 2. onset within 1 year (n = 16), and 3. onset after 1 year (n = 15), with 1 year chosen as it was the median. The GLM analysis was repeated with this transition factor and level 1 of this factor was used as the reference level. We repeated the analyses with IQ added as an additional covariate to determine whether this had any effect on the findings. Pearson correlations (adjusting for time to follow-up and transition status) were also run to determine whether changes in cognition were associated with changes in positive, negative, depressive, or anxiety symptoms. To examine whether change in cognition was associated with change in functioning, Pearson correlations were conducted between change in QLS total and change in each of the cognitive measures. These correlations were repeated adjusting for time to follow-up, transition status, and IQ, producing partial correlations. Cognitive tasks were examined individually rather than grouped into cognitive domains for several reasons. First, it may be theoretically incorrect to assume that tasks purporting to tap into similar cognitive domains assess a single cognitive process or that the effect sizes for different processes are the same.50 Second, direct comparisons can be made with the findings of previous studies. Third, grouping tasks would have resulted in the exclusion of participants who did not complete all tasks. Significance was set at .05; adjustment for multiple comparisons was not made as joint hypothesis testing was not conducted.51,52
Results
Sample Characteristics
The UHR criteria of participants at intake were 35 (43.8%) APS, 8 (10.0%) BLIPS, 13 (16.2%) trait vulnerability, 6 (7.5%) APS + BLIPS, and 14 (17.5%) APS + trait vulnerability; 3 (3.8%) met all 3 UHR criteria, and for 1 (1.2%) intake criteria were unavailable. Other baseline and follow-up participant details are reported in table 1. Among the 80 participants, 31 (38.8%) made a transition to psychotic disorder (UHR-P) and the remainder (n = 49; 61.2%) did not experience a psychotic episode (UHR-NP) within the follow-up period. The mean time to transition from baseline was 1.8 years (SD = 2.2; range 0.2–9.7 years). The transition diagnosis for the 31 who transitioned was schizophrenia, 12 (38.7%); major depressive disorder with psychosis, 5 (16.1%); bipolar disorder with psychosis, 5 (16.1%); brief psychotic disorder, 3 (9.7%); delusional disorder, 2 (6.5%); substance-induced psychosis, 2 (6.5%); and schizoaffective disorder, 1 (3.2%); for 1 (3.2%), diagnosis was unavailable. The treatment history of UHR-P and UHR-NP participants over the follow-up period is provided in supplementary table S1, which shows that the UHR-P group were significantly more likely than the UHR-NP group to have taken antipsychotics (P < .001) and other medications (P = .002) for psychiatric problems over the follow-up period.
Table 1.
Baseline and Follow-up Characteristics of the Sample
Baseline | Follow-up | Change | N | ||||
---|---|---|---|---|---|---|---|
Mean | SD | Mean | SD | Mean | SD | ||
Gender (female) | 54% | 80 | |||||
Age (years) | 20.2 | 3.2 | 30.5 | 3.7 | 80 | ||
Duration of symptomsa (days) | 419.9 | 511.3 | 80 | ||||
BPRS psychotic | 8.5 | 2.7 | 6.8 | 3.9 | −1.7* | 4.8 | 79 |
SANS total | 18.0 | 12.9 | 11.8 | 15.9 | −6.2* | 17.9 | 80 |
HAM-A total | 16.6 | 8.2 | 9.0 | 8.9 | −7.7** | 11.3 | 76 |
HAM-D total | 19.4 | 10.7 | 9.9 | 10.5 | −9.4** | 14.0 | 78 |
QLS total | 74.2 | 23.0 | 94.0 | 27.0 | 19.7** | 30.9 | 80 |
Note: BPRS, Brief Psychiatric Rating Scale; SANS, Scale for the Assessment of Negative Symptoms; HAM-A, Hamilton Anxiety Rating Scale; HAM-D, Hamilton Depression Rating Scale; QLS, Quality of Life Scale; SD, standard deviation.
aDuration of symptoms is the time between any symptom onset and first contact with the PACE clinic.
*P < .01; **P < .001.
Change in Cognition and Relationship to Psychosis Transition
Table 2 shows performance on the cognitive measures at baseline, follow-up, and change over this period (follow-up minus baseline) for the whole sample. Performance on most cognitive measures was relatively stable over the 2 time points. Significantly improved performances were observed on Similarities (P = .03), Information (P < .01), Digit Symbol Coding (P < .01), and TMT-B (P = .01). Performance on the RAVLT significantly declined (P < .01) over the follow-up period. Changes in positive, negative, and anxiety symptoms were not associated with any of these cognitive changes (all P > .05). Reduction in depressive symptoms was only associated with improvement in Digit Symbol Coding performance (r = −.23, P = .049). We also examined whether change in cognition was associated with baseline IQ and only found two significant correlations. Lower baseline IQ was associated with greater improvement in Digit Span (r = −.25, P = .03) and TMT-B (r = .34, P = .01) performances.
Table 2.
Cognition Scores at Baseline and Follow-up and Change in Performance in Whole UHR Sample
Baseline | Follow-up | Change | N | ||||
---|---|---|---|---|---|---|---|
Mean | SD | Mean | SD | Mean | SD | ||
FSIQa | 96.2 | 13.5 | 97.5 | 14.4 | 1.2 | 8.3 | 79 |
VIQ | 95.2 | 13.4 | 94.1 | 13.3 | −1.1 | 6.9 | 58 |
PIQ | 98.1 | 16.5 | 99.7 | 16.5 | 1.6 | 8.9 | 57 |
Similarities | 18.9 | 4.8 | 19.8 | 4.3 | 0.9* | 3.6 | 77 |
Information | 15.3 | 6.3 | 17.3 | 6.4 | 1.9** | 2.8 | 57 |
Picture Completion | 15.0 | 3.5 | 15.2 | 3.4 | 0.2 | 2.5 | 77 |
Block Design | 30.5 | 10.2 | 30.9 | 11.3 | 0.4 | 5.6 | 57 |
Digit Symbol Coding | 55.2 | 11.4 | 57.7 | 11.8 | 2.5** | 6.6 | 78 |
Arithmetic | 9.3 | 3.4 | 9.7 | 3.6 | 0.4 | 2.1 | 77 |
Digit Span | 14.2 | 4.4 | 14.4 | 4.3 | 0.3 | 3.4 | 77 |
TMT A (s)b | 27.6 | 9.0 | 28.9 | 11.1 | 1.3 | 8.4 | 58 |
TMT B (s)b | 72.6 | 28.0 | 64.8 | 18.6 | −7.7* | 21.2 | 57 |
VMI | 89.4 | 18.2 | 93.2 | 16.6 | 3.7 | 13.8 | 53 |
Logical Memory I | 24.0 | 8.5 | 24.1 | 8.1 | 0.1 | 6.8 | 57 |
VPA I easy | 10.7 | 1.7 | 10.6 | 1.8 | −0.1 | 2.0 | 77 |
VPA I hard | 7.7 | 2.9 | 7.1 | 2.9 | −0.6 | 3.0 | 77 |
Visual Reproduction I | 33.4 | 6.7 | 34.2 | 7.3 | 0.9 | 5.2 | 55 |
RAVLT totalc | 28.9 | 5.2 | 25.9 | 7.1 | −3.0** | 6.2 | 58 |
Note: FSIQ, Full-Scale IQ; VIQ, Verbal IQ; PIQ, Performance IQ; TMT, Trail Making Test; VMI, Verbal Memory Index; VPA, Verbal Paired Associates; RAVLT, Rey Auditory Verbal Learning Test; SD, standard deviation.
aBased on Ward’s 7-subtest or Kaufman’s 4-subtest Wechsler Adult Intelligence Scale-Revised short-form.
bLower scores mean better performance.
cModified 3-trial version.
*P < .05; **P < .01.
Next, we examined whether change in cognition was associated with transition status (UHR-P or UHR-NP), while controlling for baseline performance and time to follow-up. Table 3 shows the results of these analyses, which indicate that change in cognition was not significantly associated with transition status on any measure (also see supplementary figures). The findings remained the same when baseline IQ was added as an additional covariate. Although nonsignificant, the decline in RAVLT performance was moderately larger in the transitioned group than the non-transitioned group (effect size [ES] = −0.37, P = .18).
Table 3.
Change in Cognition Scores in Relation to Transition Status
UHR-NP | UHR-P | P a | ESb | |||||
---|---|---|---|---|---|---|---|---|
Mean Change | SD | n | Mean Change | SD | n | |||
FSIQ | 0.4 | 7.2 | 49 | 2.6 | 9.7 | 30 | .37 | 0.21 |
VIQ | −1.1 | 7.0 | 36 | −1.0 | 7.1 | 22 | .68 | −0.11 |
PIQ | 2.0 | 9.8 | 35 | 0.9 | 7.3 | 22 | .35 | −0.26 |
Similarities | 0.6 | 3.2 | 47 | 1.3 | 4.1 | 30 | .77 | 0.07 |
Information | 1.9 | 2.8 | 35 | 2.0 | 2.9 | 22 | .89 | −0.04 |
Picture Completion | 0.2 | 2.5 | 47 | 0.2 | 2.5 | 30 | .43 | −0.19 |
Block Design | 0.6 | 5.7 | 35 | 0.1 | 5.5 | 22 | .68 | −0.11 |
Digit Symbol Coding | 2.9 | 6.1 | 47 | 2.0 | 7.5 | 31 | .39 | −0.20 |
Arithmetic | 0.1 | 2.1 | 47 | 0.8 | 2.1 | 30 | .25 | 0.28 |
Digit Span | −0.2 | 3.4 | 47 | 0.9 | 3.4 | 30 | .31 | 0.24 |
TMT A (s) | 1.5 | 8.6 | 35 | 1.1 | 8.3 | 23 | .92 | 0.03 |
TMT B (s) | −4.4 | 20.2 | 34 | −12.7 | 22.0 | 23 | .90 | 0.04 |
VMI | 3.2 | 12.5 | 32 | 4.6 | 15.7 | 21 | .92 | −0.03 |
Logical Memory I | −0.4 | 5.9 | 35 | 0.8 | 8.1 | 22 | .71 | 0.10 |
VPA I easy | −0.2 | 1.9 | 47 | 0.0 | 2.0 | 30 | .70 | 0.09 |
VPA I hard | −0.3 | 2.9 | 47 | −1.1 | 3.3 | 30 | .22 | −0.29 |
Visual Reproduction I | 0.9 | 4.9 | 33 | 0.8 | 5.7 | 22 | .40 | −0.25 |
RAVLT total | −2.3 | 5.6 | 35 | −4.1 | 7.0 | 23 | .18 | −0.37 |
Note: UHR-NP, no transition to psychosis; UHR-P, transition to psychosis; SD, standard deviation; FSIQ, Full-Scale IQ; VIQ, Verbal IQ; PIQ, Performance IQ; TMT, Trail Making Test; VMI, Verbal Memory Index; VPA, Verbal Paired Associates; RAVLT, Rey Auditory Verbal Learning Test.
a P-value of general linear model analysis comparing transition status in terms of change in each cognitive measure with baseline score and time to follow-up as covariates.
bES = Effect size based on the general linear model analysis.
As time to transition might be important in relation to change in cognition over the follow-up period, we examined this with transition status treated as 3 levels: 1. no transition (n = 49), 2. transition within 1 year (n = 16), and 3. transition after 1 year (n = 15), with no transition treated as the reference level. There was only one significant finding, which was in relation to change in Digit Symbol Coding (P = .01), showing that those who transitioned after 1 year had a decline in score (mean change = −1.5, SD = 7.0), whereas those who did not transition had an improved score (mean change = 2.9, SD = 6.1). The effect size for the change in Digit Symbol Coding performance between those who did not transition and those who transitioned after 1 year was large (0.85). The mean change of those who transitioned within 1 year indicated an improvement in Digit Symbol Coding performance (supplementary table S1). When baseline IQ was added as an additional covariate, findings remained the same, with the exception of 1 new finding showing that Similarities performance improved to a higher degree in the ≤1 year transitioned group compared with the non-transitioned group (P = .04).
Change in Cognition and Relationship to Change in Functioning
The overall sample significantly improved in functioning (QLS total) over the follow-up period (mean change = 19.7, SD = 30.9, P < .001), with no difference between the UHR-P and UHR-NP groups in change in functioning (P = .103). Pearson correlations between change in cognitive scores and change in functioning showed two significant, small positive correlations: Digit Symbol Coding (r = .29, P = .01) and Arithmetic (r = .26, P = .03). Partial correlations adjusting for time to follow-up and time to transition (no transition, <1 year, >1 year) were conducted next, because change in Digit Symbol Coding showed a significant association with transition status. The partial correlations between change in functioning and Digit Symbol Coding and Arithmetic remained positive and significant (r = .24, P = .03 and r = .28, P = .01, respectively; table 4). The findings remained unchanged when the correlations were adjusted for baseline IQ.
Table 4.
Pearson Correlation Between Change in QLS Total and Change in Cognition Scores
No Covariates | Adjusting for Time to Follow-up | Adjusting for Time to Follow-up and Transition Status | ||||
---|---|---|---|---|---|---|
Correlation | P | Correlation | P | Correlation | P | |
FSIQ | 0.15 | .19 | 0.09 | .45 | 0.09 | .41 |
VIQ | −0.01 | .95 | −0.05 | .71 | −0.10 | .45 |
PIQ | 0.11 | .40 | 0.10 | .44 | 0.10 | .47 |
Similarities | 0.03 | .82 | 0.00 | .98 | −0.02 | .87 |
Information | −0.09 | .51 | −0.10 | .47 | −0.12 | .38 |
Picture Completion | 0.01 | .95 | −0.03 | .79 | −0.04 | .73 |
Block Design | 0.10 | .44 | 0.10 | .45 | 0.09 | .51 |
Digit Symbol Coding | 0.29 | .01 | 0.27 | .02 | 0.24 | .03 |
Arithmetic | 0.26 | .03 | 0.23 | .04 | 0.28 | .01 |
Digit Span | −0.13 | .26 | −0.14 | .23 | −0.13 | .27 |
TMT A (secs) | 0.01 | .93 | 0.02 | .87 | 0.03 | .80 |
TMT B (secs) | −0.01 | .95 | 0.01 | .92 | −0.02 | .90 |
VMI | 0.01 | .95 | 0.05 | .72 | 0.00 | .99 |
Logical Memory I | −0.01 | .93 | 0.03 | .81 | 0.01 | .92 |
VPA I easy | 0.18 | .12 | 0.19 | .10 | 0.18 | .12 |
VPA I hard | −0.06 | .59 | −0.04 | .70 | −0.08 | .51 |
Visual Reproduction I | 0.04 | .75 | 0.10 | .48 | 0.07 | .61 |
RAVLT total | 0.14 | .29 | 0.16 | .23 | 0.14 | .30 |
Note: FSIQ, Full-Scale IQ; VIQ, Verbal IQ; PIQ, Performance IQ; TMT, Trail Making Test; VMI, Verbal Memory Index; VPA, Verbal Paired Associates; RAVLT, Rey Auditory Verbal Learning Test.
Discussion
Cognitive functioning over a mean of 10 years was examined in 80 UHR individuals, with a focus on whether an association existed between change in cognition and transition to psychosis and change in functioning over this period. To the best of our knowledge, this is the longest follow-up of cognitive functioning in a UHR cohort, with notable strengths being that the same comprehensive battery of tests was administered at both time points and there was a relatively large subgroup (38.8%) who transitioned to psychosis. The key findings were that 1. cognition was generally stable or improved, with the exception of immediate verbal learning and memory, which declined significantly in the UHR sample over the follow-up period; 2. cognitive changes were generally not associated with changes in symptoms or baseline IQ; 3. change in cognitive performance was not associated with transition status; 4. taking time of transition into account revealed that those who transitioned after 1 year after service entry had a significant decline in Digit Symbol Coding score, whereas those who did not transition had an improved score; and 5. there were small significant correlations between improvements in functioning and Digit Symbol Coding and Arithmetic, which remained after accounting for time to follow-up, transition status, and IQ.
Stability or improvement in performance on most cognitive tests is consistent with the findings of several previous UHR studies23,24 and is inconsistent with the notion of a generalized deteriorating course of cognition in the UHR state, and specifically, in association with the onset of psychosis. Significantly improved performance was observed in verbal knowledge (Similarities/Information), processing speed (Digit Symbol Coding), and mental flexibility (TMT-B). A reduction in depressive symptoms was associated with improvements on Digit Symbol Coding, but the other cognitive performance changes were not related to symptom changes. The improvements observed are unlikely to be due to practice effects given the long follow-up period53; however, without a matched healthy comparison group, we do not know whether the cognitive stability or improvements observed over the 10-year period is consistent with typical performance. Developmental lag (attenuated gain) in cognitive abilities remains possible in this sample as has been found in previous cohort studies that included healthy controls.15,54
The general lack of evidence of decline in cognition in association with psychosis transition in the current study may be associated with the timing of our baseline assessment. There is evidence from several studies and meta-analyses that at baseline, the cognitive performance of UHR individuals who develop psychosis is significantly poorer than those who do not transition, with impairments near or at the level of impairment of individuals with first-episode psychosis.16–20,55 Although the focus of the current study was not on baseline differences in cognitive performance, examination of our supplementary figures clearly shows that the UHR-P group had a lower performance on most measures compared with the UHR-NP group. Decline or lack of development in cognitive performance may be more easily detectable earlier in life, prior to help-seeking. Although there is some evidence of this in longitudinal cohort studies,13,15 further research is needed to address this hypothesis. It is also important to note that only 1 cognitive assessment was conducted prior to transition and that decline may have occurred prior to transition and then recovered again with treatment. Future studies should aim to assess cognition over multiple times both pre- and post-psychosis onset.
The distinct decline in immediate verbal learning and memory in this UHR cohort is noteworthy. Although the mechanism is unclear, our findings indicated that this decline was not associated with changes on any of the symptom measures. A decline in verbal memory (as well as failure to improve as expected in executive functioning) in comparison to healthy controls was previously observed in a 1-year follow-up of clinical high-risk individuals.26 In lieu of a healthy comparison group, Australian normative data of RAVLT performance in individuals aged 18–34 years show similar mean raw score performances as our UHR group at baseline (30.0 vs 28.9, respectively), whereas the performance of the UHR group at follow-up fell over half an SD below the normative sample mean (25.9 vs 30.0, respectively).56 As the normative sample mean is cross-sectional and covers the mean age of our cohort across both time points, whether the decline in our UHR cohort is a marker of progression of verbal memory impairment remains unclear. In the Dunedin birth cohort study, immediate verbal learning and memory (measured using a 4-trial version of the RAVLT) significantly declined by a mean of 7 words between age 13 and 35 years in those with schizophrenia.14 In contrast, the healthy and persistent depression groups recalled 3 fewer words from age 13 to 35 years, suggesting that the ability to learn and remember verbal information normatively declines from early adolescence to adulthood, but such decline may be accelerated in schizophrenia.14 Longitudinal studies of first-episode psychosis have shown that poorer verbal learning and memory (including decline over time) is associated with poorer clinical outcomes, such as incomplete symptomatic recovery and relapse.57–59 Although the course of verbal learning and memory did not significantly differ between the UHR-P and UHR-NP groups in our study, the decline was greater in those who transitioned (group difference ES = −0.37). Again, similar findings were observed by Woodberry et al,26 who found a larger nonsignificant decline in those who transitioned to psychosis. A longer follow-up and/or larger sample may be necessary to reveal a significantly greater decline in UHR-P and in association with more chronic illness.13 Future hypothesis-driven research should investigate whether change in verbal learning and memory is a specific marker of frank psychosis.
Nevertheless, our findings indicate that the course of cognition in UHR may not be useful for differentiating transitioned from non-transitioned UHR individuals in the initial year after ascertainment. This is broadly consistent with previous UHR studies that had follow-up periods of 6–18 months.24,60–62 Due to our long follow-up, we were able to explore whether timing of transition was associated with cognitive change and found that a decline in processing speed (Digit Symbol Coding) was associated with later transition (>1 year). It is not clear why only later transition was associated with processing speed decline. It may be speculated that those who transition later have a more insidious onset of psychotic disorder and/or that type and dose of treatment received may differ, which may be associated with greater decline in processing speed. Post hoc analysis showed no significant difference between those who transitioned within or after 1 year in duration of symptoms prior to clinic entry (data not shown). The Dunedin birth cohort study revealed that, in individuals with schizophrenia, processing speed declined more than any other cognitive domain and the greatest decline in processing speed was observed after adolescence.13 In the ALSPAC study, an increasing developmental lag in processing speed (ESΔ = −0.68) was observed in the group with psychotic disorder, which was larger than other cognitive domains.15 The most recent and comprehensive meta-analysis of cognitive test performance in UHR individuals suggested that verbal and visual learning and memory and processing speed were the most promising cognitive risk markers for psychosis, recommending that these domains be further examined as potential candidates for complex risk-prediction models and longitudinal investigation.16
Some discussion is warranted in relation to the lack of evidence for progressive IQ impairment in the current and previous UHR studies, which is in contrast to longitudinal birth cohort studies.13,15 UHR individuals in the current study may have passed through the period of peak vulnerability to IQ decline, relative to more fluid cognitive functions. Emerging evidence suggests that the pattern of IQ impairment in psychotic disorders, particularly schizophrenia, is characterized by early and relatively static Verbal IQ impairments with progression of non-Verbal IQ impairments, particularly during early adolescence.13,15 Our sample on average had entered the third decade of life at baseline (mean age = 20.2), and any decline in IQ differentiating true psychotic disorder cases (especially schizophrenia) may have already occurred in early adolescence. In contrast, vulnerability to ongoing decline in fluid functions such as verbal learning and memory and processing speed may be observed in young adults with persistent psychotic symptoms.
The significant associations between changes in processing speed (Digit Symbol Coding) and auditory verbal working memory (Arithmetic) and changes in functioning are partially consistent with Niendam et al,31 who showed that improved functioning was associated with improvements in processing speed and visual learning and memory over 8 months. In contrast, Shin et al32 found that change in semantic fluency was significantly associated with functioning changes over 2 years. The association between these cognitive domains and functioning remained regardless of psychosis transition status, adding to the evidence in the psychosis literature for a robust relationship between cognition and functioning, independent of positive symptoms.63,64 The strength of the relationship between change in cognition and functioning was small, and based on previous research, cognition at ascertainment rather than change in cognition, may provide greater clinical utility with respect to predicting functional outcome in UHR, particularly over the long term.65,66
There are several limitations that must be mentioned. The first is the absence of a healthy control group to examine how the longitudinal course of cognition in UHR compares to typically developing individuals. Nevertheless, practice effects are unlikely given the long interval between assessments.53 Second, the follow-up assessments were conducted over variable periods, ranging from 7–13 years from baseline. However, time to follow-up was controlled for in all analyses. Third, the different sample sizes across each cognitive measure at follow-up may have reduced power to detect differences for some of the measures. Fourth, we did not conduct any adjustments for multiple testing. However, there is no agreement among statisticians as to whether adjustments should or should not be done. Our approach was to report all the tests and results; thus, the findings may be regarded as tentative.51,67 Fifth, the current sample and the later PACE cohort may differ due to differences in recruitment periods. For instance, it is well known that transition rate has been declining over time, and for the PACE400 sample, the transition rate for the post-2000 participants is much lower than those for the pre-2000 participants.33,68 Finally, participants in the transitioned group were more likely to have been exposed to antipsychotics and other psychiatric medication than the non-transitioned group. We did not take this into account in the analyses as our measure of medication use was very broad and may be unreliable (participants were only asked to retrospectively recall if they had ever taken antipsychotics over the entire follow-up period, without measuring frequency/dose). Antipsychotic use has been associated with a decline or lack of development of some cognitive functions in UHR individuals.26,69 Future research should carefully evaluate the role of medication in association with cognitive performance.
In conclusion, this is the longest study to track the cognitive performance of a UHR sample over the period of transition to psychosis. Cognition was generally stable or improved over the 10-year period, with the exception of immediate verbal learning and memory, which significantly declined. Those who transitioned to psychosis after 1 year showed a significant decline in processing speed relative to the non-transitioned group who showed a significant improvement. Small significant relationships between change in processing speed and auditory verbal working memory and functioning were observed. More work is needed to understand the course and timing of cognitive impairment in psychotic illness and its relationship to symptomatology, medication use, and functioning. To achieve this, large samples that include healthy and non-UHR clinical controls need to be assessed with comprehensive cognitive batteries at multiple time points over long periods.
Supplementary Material
Supplementary data are available at Schizophrenia Bulletin online.
Funding
This project was supported by National Health and Medical Research Council (NHMRC) Program Grants (350241, 566529) and the Colonial Foundation. Dr Allott is supported by a Ronald Phillip Griffiths Fellowship from the Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne and a NHMRC Career Development Fellowship (1141207). Prof Wood and A/Prof Brewer have been supported by NHMRC Career Development Awards. Prof Nelson was supported by an NHMRC Senior Research Fellowship and a National Alliance for Research on Schizophrenia and Depression (NARSAD) Independent Investigator Award. Prof Pantelis and Prof Yung are the recipients of NHMRC Senior Principal and Senior Research Fellowships, respectively. Prof Yung is also the recipient of a National Institute for Health Research Senior Investigator award. Dr Lin is supported by an NHMRC Career Development Fellowship (1148793).
Acknowledgments
No funding source played any role in the collection, analysis, interpretation, or publication of data. The authors have declared that there are no conflicts of interest in relation to the subject of this study.
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