Abstract
Background
Longitudinal studies of the clinical high risk (CHR) syndrome for psychosis have emphasized the conversion vs non-conversion distinction and thus far have not focused intensively on classification among non-converters. The present study proposes a system for classifying CHR outcomes over time when using the Structured Interview for Psychosis-risk Syndromes and evaluates its validity.
Method
The system for classifying CHR outcomes is referred to as “current status specifiers,” with “current” meaning over the month prior to the present evaluation and “specifiers” indicating a set of labels and descriptions of the statuses. Specifiers for four current statuses are described: progression, persistence, partial remission, and full remission. Data from the North American Prodromal Longitudinal Study were employed to test convergent, discriminant, and predictive validity of the current status distinctions.
Results
Validity analyses partly supported current status distinctions. Social and role functioning were more impaired in progressive and persistent than in remitted patients, suggesting a degree of convergent validity. Agreement between CHR current statuses and current statuses for a different diagnostic construct (DSM-IV Major Depression) was poor, suggesting discriminant validity. The proportion converting to psychosis within a year was significantly higher in cases meeting progression criteria than in those meeting persistence criteria and tended to be higher than in those meeting full remission criteria, consistent with a degree of predictive validity.
Discussion
CHR syndrome current status specifiers could offer a potentially valid and useful description of current clinical status among non-converters. Study in additional samples is needed.
Keywords: psychosis, clinical high risk, risk syndrome, current status, course of illness
1. Introduction
A prodromal period before the onset of frank schizophrenia has been recognized for at least a century (Bleuler, 1911; Klosterkotter et al., 2008), and over the past two decades a growing body of work has sought to diagnose a prodromal syndrome prospectively (Fusar-Poli et al., 2013). One approach has been to define clinical high risk (CHR) criteria, also known as at-risk mental state or ultra-high risk or risk syndrome (Schultze-Lutter et al., 2011) criteria. Two structured diagnostic interviews, the Comprehensive Assessment of At Risk Mental States (CAARMS) (Yung et al., 2004) and the Structured Interview for Psychosis-risk Syndromes (SIPS) (McGlashan et al., 2010) have demonstrated reliability and validity (Addington et al., 2007; Fusar-Poli et al., 2012b; Woods et al., 2009; Woods et al., 2010; Yung et al., 2008; Yung et al., 2005).
While CHR criteria consistently have been statistically significant predictors of conversion, it has become more clear over the past decade that the majority of patients meeting the criteria do not go on to become psychotic (Cannon et al., 2008; Fusar-Poli et al., 2012a; Nelson et al., 2013; Ruhrmann et al., 2010). Some of the non-converting patients remain symptomatic over time, and others become symptom-free (Addington et al., 2011). At present, however, existing diagnostic criteria have paid relatively little attention to follow-up classification.
This paper proposes a new classification system for CHR patients when using the SIPS over time. The system is based on diagnostic criteria that establish eligibility for classification and specifiers of current status that may vary over follow-up. Data from the first phase of the North American Prodrome Longitudinal Study (Addington et al., 2007) (NAPLS-1) are used to evaluate the validity of the current status distinctions.
2. Methods
In the term “current status specifiers,” “current” refers to the month prior to the present evaluation and “specifiers” to a set of labels and descriptions of possible statuses. Although conversion to psychosis could also be considered a current status, the focus of the present paper is not upon the existing SIPS definition of conversion but on new specifiers of current status for patients who have not converted or who have not converted yet. The proposed current status specifiers are influenced by the severity/psychosis/remission specifiers used for affective disorder diagnoses (American Psychiatric Association, 1987, 1994, 2013) and remission criteria proposed for schizophrenia (van Os et al., 2006).
2.1 Current status specifiers
The SIPS identifies three CHR syndromes: Attenuated Psychotic Symptoms Syndrome (APSS), Brief Intermittent Psychosis Syndrome (BIPS), and Genetic Risk and Deterioration (GRD), all originally articulated by the Melbourne group (Yung et al., 1996b). In previous versions of the SIPS, criteria for each CHR syndrome required recent worsening, and each was scored only as currently present vs not currently present. Different ways of not meeting current worsening criteria (features present but no longer worsening, features no longer present, features never present) were not distinguished.
For each CHR syndrome Figure 1 outlines criteria for four current status specifiers: progression, persistence, partial remission, and full remission. The current status specifiers may be applied to patients meeting syndromal diagnostic criteria, also in Figure 1. The syndromal criteria and the current status specifiers are intended to be used together, at initial evaluation and/or at any follow-up assessment. The syndromal diagnosis would apply across course while the current status could vary (for example: APSS currently progressive, or GRD currently in partial remission).
Figure 1.
Definitions for clinical high risk syndrome and current status specifiers when using the SIPS.
SIPS--Structured Interview for Psychosis-risk Syndromes, APSS--Attenuated Psychotic Symptoms Syndrome, BIPS--Brief Intermittent Psychosis Syndrome, GRD--Genetic Risk and functional Decline, pos--positive, sx--symptoms, FHx--family history of, SPD--schizotypal personality disorder, Hx--history of, GAF--Global Assessment of Functioning.
N.B. When a patient meets criteria for two or more specific CHR syndromes now meets criteria for one at a higher level than another (e.g. both APSS progressive and GRD persistent), the higher level current status is given as the overall CHR syndrome status. To be explicit, “progression trumps persistence trumps partial remission trumps full remission.”
Figure 1 shows that for APSS and BIPS a CHR diagnosis depends on a history of at least one positive symptom meeting severity, frequency, and attribution criteria. APSS or BIPS progression requires that these criteria be met currently as well as recent worsening: these APSS or BIPS progression criteria are identical to our previously proposed SIPS criteria for APSS and BIPS current presence yes vs no. APSS or BIPS persistence are similar to APSS or BIPS progression in requiring that syndromal criteria be met currently but differ in that worsening criteria cannot. For APSS or BIPS partial remission two pathways were considered appropriate, following the format for DSM affective disorders in partial remission. For the first pathway, no positive symptom can meet severity and attribution criteria, but for no longer than 6 months. For the second pathway, one or more positive symptoms do currently meet severity and attribution criteria but not frequency criteria. Patients meeting criteria for this second route could potentially remain in partial remission for an indefinite period of time. For APSS or BIPS full remission, no positive symptom has met severity and attribution criteria for longer than 6 months. GRD syndromal and current status criteria are based on indices of genetic risk and changes in global functioning. Criteria for GRD progression differ slightly from our previous criteria for GRD current presence (rationale in supplementary data).
When patients meet criteria for a current status for one CHR syndrome (e.g. GRD partial remission) but also criteria for a different current status for another CHR syndrome (e.g. APSS progression), the overall CHR syndrome current status is defined according to the rule “progression trumps persistence trumps partial remission trumps full remission.” The supplementary data include pages from SIPS 5.6 providing detail on how syndromal assessments and current status assessments are scored.
2.2 Subjects
NAPLS-1 methods have been described in detail previously (Addington et al., 2007). All subjects provided written informed consent, and protocols were approved by institutional review boards at each site. Symptomatic subjects from three groups according to the earlier classification (Woods et al., 2009) were eligible for the present analyses if all 5 SIPS positive symptoms were rated for severity either at baseline, 6 months, and 12 months or at 12, 18, and 24 months. Figure 2 shows the flow diagram of eligible subjects and reasons for ineligibility.
Figure 2.
Subject flow diagram of NAPLS-1 sample in the present analysis.
Classifications shown at baseline with the Structured Interview for Psychosis-risk Syndromes (SIPS) under the original classification scheme and for assessments as per the present paper for syndroinal diagnosis and current status specification, at baseline, one year, and two years.
CHR–clinical high risk. SPD–schizotypal personality disorder. PROG–progressive current status; of CHR syndrome. No FU–no follow-up classification possible, no end–did not have a study visit at the endpoint of the one-year interval, no mid–did not have a study visit at the midpoint of the one-year interval, msg data–study visits occurred but severity data for one or more positive symptoms were missing. PERS–persistent current status of CHR syndrome. Unit–unknown CHR history, PSYCH–transitioned to frank psychosis. PART–partial remission current status of CHR syndrome. FULL–fell remission current status of CHR syndrome. Smf–currently symptomatic but cannot be classified as PROG vs PERS vs PART due to missing symptom frequency data.
2.3 Classification
Eligible subjects were then classified at each timepoint based as closely as possible on the current status specifier scheme shown in Figure 1. NAPLS-1 data, however, were not collected prospectively to map onto this criterion set, and therefore certain criteria either could not be applied or required estimation methods. Early versions of the SIPS did not provide for symptom specific frequency ratings, and therefore symptom frequency data were unavoidably missing for some cases. Simple exclusion of these cases would introduce bias (supplementary data) and so was not the preferred option. To avoid such bias, we placed symptomatic but missing frequency cases into a separate “Smf” category (see Figure 2). We then made use of data from the symptomatic patients who did have frequency ratings (Table S1) to estimate percentages for current status specifiers among the Smf group, as detailed in the supplementary data.
Ratings of symptom causal attribution were not added to the SIPS until after NAPLS-1 data collection ended, and thus these data were never collected and this requirement had to be waived.
Progression for APSS and GRD at follow-up was assessed by direct comparison of ratings to those from one year previously. Evaluation of BIPS progression criteria utilized fields in the SIPS that asked whether positive symptoms had progressed to a 6 in the past 3 months.
2.4 Validity
We investigated the validity of the current status specifiers in three analyses. A convergent validity analysis asked whether social or role functioning differed across current status. The social and role functioning variables (Cornblatt et al., 2007) did not contribute to the CHR syndrome diagnosis or to the current status specifier definitions. A discriminant validity analysis evaluated the degree to which CHR current status was independent from DSM-IV current status specifiers for comorbid major depression. Among comorbidities in CHR patients (Fusar-Poli et al., 2014; Rosen et al., 2006; Salokangas et al., 2012; Woods et al., 2009), major depression is perhaps the most frequent and among the most severe and also is described by established (American Psychiatric Association, 1994, 2013) current status specifiers. Lastly, predictive validity analyses asked whether the rate of conversion to psychosis during a 12-month interval differed by current status at interval start. We chose 12 months as the shortest interval whose outcome did not depend on unmeasured information, such as positive symptom or GAF data before baseline. The starting points of each available 12-month interval were lined up to provide a “snapshot” of the 12-month conversion rate.
2.5 Effects of treatment on conversion or progression after remission
In the NAPLS-1 cohort, some patients received psychotropic medication or psychosocial treatment, either clinically during naturalistic research follow-along or in prospective research trials, as previously described (Cadenhead et al., 2010; Cannon et al., 2008; Walker et al., 2009; Woods et al., 2013). We thus also investigated the extent to which cases converting or meeting progression criteria after having achieved remission could potentially be accounted for by discontinuation of treatment.
2.6 Statistical methods
Analyses were conducted using SPSS, version 19. Convergent validity analyses employed one-way ANOVA, with post-hoc pairwise testing by Student’s t-test. Discriminant validity analyses employed Cohen’s kappa. Predictive validity analyses utilized Fisher’s exact tests.
3. Results
3.1 Availability of data
The NAPLS-1 database contains 624 symptomatic nonpsychotic patients at baseline (Woods et al., 2009). Of these, 435 (70%, see Figure 2) were classifiable according to Figure 1, including 58 who met the criteria for Persistence at baseline. At one year, 172/435 were classifiable (40%) and at two years, 44/172 (26%). The primary reason for inability to classify at baseline was that the information collected did not permit identification of whether CHR had ever been present before baseline. The primary reason at follow-up was the absence of visits (Figure 2). Differences between the present sample and samples in other reports on the NAPLS-1 cohort are discussed in the supplementary data.
3.2 Current status determinations for individual CHR syndromes
Table S2 shows the degree of overlap between current status specifiers for the three CHR syndromes among visits that ended intervals in Figure 2. As in previous studies the large majority of patients met criteria for APSS. In the relatively few cases where more than one syndrome was present, the current statuses agreed about 40% of the time, with the “trumps rule” coming into play otherwise (supplementary data).
3.3 Validity
Convergent validity
Tables 1 and S3–4 show that social and role functioning both differed across the spectrum of CHR current status specifiers. Pairwise findings were also similar for social and role functioning. For patients with either progressive or persistent status, functioning was significantly lower than for patients in either partial or full remission. Functioning did not differ significantly between progression and persistence statuses or between partial and full remission. Statistical power was <0.80 for partial vs full remission (Table S3).
Table 1.
Comparison of current status specifiers* on social and role functioning.
| Specifier Measure | Progression | Persistence | Partial Remission | Full Remission | F | p |
|---|---|---|---|---|---|---|
| Social Functioning | 6.17±1.53a,b (390) | 5.96±1.41c,d (79) | 7.00±1.53a,c (34) | 7.21±1.41b,d (65) | 12.8 | 0.000 |
| Role Functioning | 6.08±1.71a,b (391) | 6.23±1.39c,d (79) | 7.15±1.68a,c (34) | 7.47±1.28b,d (64) | 16.6 | 0.000 |
mean±SD (n). Scales range from 1–10, with 10 indicating superior functioning, 7 mild problems, 6 moderate impairment, and 1 extreme impairment.
groups with the same letter differ from each other p<0.05
CHR specifiers and functioning each assessed at the same timepoint. Timepoints included are baseline, 12, or 24 months. Symptomatic patients unclassifiable into a CHR current status due to missing frequency ratings (Smf in Figure 2) not shown.
Discriminant validity
Table 2 shows how current status specifiers for CHR syndrome overlapped with those for DSM-IV Major Depression. Sixty-two percent of cases in a known CHR status did not meet criteria for a major depression diagnosis. If these patients with no major depression diagnosis are not considered, along with the 39 in Table 2 whose major depression was coded as status unspecified (296.20 or 296.30), Table 2 can be collapsed into a 2x2 categorization: either in partial/full remission or not, for each syndrome. Among unremitted CHR cases (n=105), depression was remitted in 58 (55%). Among remitted CHR cases (n=18), depression was not remitted in 4 (22%). Kappa for agreement was 0.10 (less than 0.40 poor (Fleiss, 1981)).
Table 2.
Current status specifiers* for CHR syndrome and DSM-IV Major Depression.
| Current status | Major Depression | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Severe | Moderate | Mild | Partial Remission | Full Remission | Unspecified | None | Total | ||
| CHR syndrome | Progressive | 15 (5%) | 18 (6%) | 9 (3%) | 19 (6%) | 34 (11%) | 27 (9%) | 180 (60%) | 302 |
| Persistent | 1 (2%) | 4 (7%) | 0 (0%) | 4 (7%) | 1 (2%) | 9 (15%) | 40 (68%) | 59 | |
| Partial Remission | 1 (4%) | 0 (0%) | 0 (0%) | 2 (8%) | 2 (8%) | 2 (8%) | 18 (72%) | 25 | |
| Full Remission | 2 (5%) | 1 (2%) | 0 (0%) | 6 (14%) | 4 (9%) | 1 (2%) | 29 (67%) | 43 | |
| Total | 19 | 23 | 9 | 31 | 41 | 39 | 267 | 429 | |
CHR syndrome and major depression each assessed at the same timepoint. Timepoints included are baseline, 12, or 24 months. Symptomatic patients unclassifiable into a CHR current status due to missing frequency ratings (Smf in Figure 2) not shown.
Predictive validity
Table 3 summarizes outcomes of CHR cases by current status at interval start. These same data may be traced in Figure 2. The proportion converting to psychosis was significantly higher in cases meeting progression criteria than in those meeting persistence criteria at interval start and tended to be higher than in those meeting full remission criteria (Table S5). Proportions converting in the other pairwise comparisons did not differ, but statistical power was low (Table S5).
Table 3.
Twelve-month outcomes by CHR syndrome current status at interval start*.
| Outcome Interval Start | Psychosis | Progression | Persistence | Partial Remission | Full Remission | Smf a | Total |
|---|---|---|---|---|---|---|---|
| Progression | 40 (24%) | 11 (10%)b | 20 (23%)b | 29 (19%)b | 41 (24%) | 27 | 168 |
| Persistence | 0 (0%) | 2 (26%)b | 2 (21%)b | 3 (24%)b | 4 (29%) | 3 | 14 |
| Partial Remission | 2 (14%) | 0 (24%)b | 0 (0%)b | 1 (12%)b | 7 (50%) | 4 | 14 |
| Full Remission | 1 (5%) | 1 (13%)b | 0 (0%)b | 1 (7%)b | 15 (75%) | 2 | 20 |
| Total | 43 | 14 | 22 | 34 | 67 | 36 | 216 |
interval start either at baseline or at 12 months.
Smf -- patients with one or more positive symptoms in the CHR syndrome severity range, but who could not be classified because of missing symptom frequency ratings
estimated percentages, calculated by estimating classifications for Smf cases based on results in symptomatic cases whose frequency ratings were not missing (please see Table S1 and estimation methods in data supplement).
3.4 Effects of treatment on conversion or progression after remission
Table 3 shows that four remitted patients then converted or met criteria for progression over the next year. These outcomes generally did not appear to be accounted for by discontinuation of treatment. Treatment data were complete, and a medication or psychosocial treatment present at remission was discontinued before conversion/progression in only one of these cases.
4. Discussion
This report presents nomenclature and criteria for syndromal diagnosis and current status assessment for clinical high risk (CHR) patients. Data from the NAPLS-1 dataset provide partial support for the validity of the current status designations.
4.1 Validity of the current status definitions
Taken together, the convergent, discriminant, and predictive validity analyses are supportive of the validity of the CHR current status specifiers as defined in Figure 1. These data must be interpreted cautiously, however, because neither the convergent validity nor the predictive validity analyses fully distinguished each current status specifier from all others. The criteria in Figure 1 will need to be applied to additional samples to evaluate validity fully. Persistence was distinguished from progression in the predictive validity analyses (conversion events in Table 3) but not in the convergent validity analysis of functioning (Table 1). The low functioning scores for patients in a persistent CHR status suggest the need for longer follow-up to determine the likelihood of functional improvement in this group. Partial remission was not significantly distinguished from full remission in either analysis, although numerically patients in full remission did show higher functioning scores and lower conversion rates than those in partial remission. The discriminant validity analysis in Table 2, which suggests substantial independence between the course of the CHR syndrome and the course of comorbid major depression, speaks to the validity of the CHR syndrome as a whole in addition to the validity of the current status specifiers.
4.2 Utility of current status specification
The definitions shown in Figure 1 improve upon the SIPS assessment of CHR syndrome in three ways. First, the definitions address a previous limitation with the use of the SIPS. Previously, patients with continuing but no longer progressive symptoms had to be classified as “not currently CHR” whereas now they can be coded “CHR, currently persistent.” There may be applications where the present classification could be used for baseline eligibility determination; for example, recruitment of patients coded as “ CHR, currently in full remission” could be useful as entry criteria for clinical trial designs investigating whether treatments sustain remission. Second, the definitions address ambiguities with the use the term “remission” of CHR syndrome over the past few years (Addington et al., 2011; Schlosser et al., 2012; Simon et al., 2012; Simon and Umbricht, 2010; Velthorst et al., 2011; Ziermans et al., 2011), wherein it has not always been clear whether patients with persistent symptoms qualified as remitted (because they no longer met the previously articulated CHR current presence criteria). Meta-analyses of remission rates (Simon et al., 2013) would be facilitated by consistent definition. In addition, remission from the less common BIPS and GRD syndromes has not previously been addressed in the literature to our knowledge. Third, the current status specifiers provide a richer description of the nonconverting patients. Future studies could determine whether treatments differentially alter rates of continued progression, persistence, or remission as well as conversion rates, and ordinal regression analyses incorporating current statuses may be statistically more powerful in detecting treatment effects than analyses of dichotomous conversion vs non-conversion.
The present data suggest that most remissions are generally stable over the next year (Table 3); however, a few patients did not remain in remission but converted to psychosis or met criteria for progression. Analyses of treatment data suggest that in at least some cases the loss of sustained remission can be unrelated to discontinuation of previous treatment. These observations are consistent with a previously recognized course pattern wherein the original occurrence of progression can sometimes constitute an “outpost syndrome” (Yung and McGorry, 1996a) followed by remission and then later recurrence of illness. Future studies should focus on the course of remitted patients and on predictors of sustaining remission.
4.3 Limitations
A number of limitations are recognized. The most important limitation is the relative paucity of visits where patients could be classified in persistent, partial remission, or full remission status, and especially the limited number of one-year intervals beginning with those statuses. This limitation applies to the convergent validity analysis in Table 1 and particularly to the predictive validity analyses in Table 3 and led to low statistical power in both analyses (Tables S3 and S5). Larger samples are needed of patients in these current statuses. We underscore that in retrofitting current status classifications to the NAPLS-1 data it was never possible fully to apply the attribution criterion shown in Figure 1, since this criterion was not added to the SIPS formally until after NAPLS-1 data collection ended. Site training in the SIPS did include the understanding that attenuated positive symptoms due to another disorder did not qualify for a CHR syndrome diagnosis, but there are no fields in the NAPLS-1 dataset to document application of this criterion. Another limitation is that symptom frequency ratings were often not present in the NAPLS-1 dataset, due to their introduction into the SIPS with version 4.0 in 2003, while the sites’ collection of data occurred between 1998 and 2005. For intervals classifiable at start that required frequency ratings to apply Figure 1 criteria at interval end, the needed frequency ratings were missing 50% of the time (supplementary data). Consequently the follow-up proportions of progression, persistence, and partial remission statuses in Table 3 had partly to be estimated. It also should be emphasized that inter-rater reliability remains to be established.
Lastly, it is not yet clear for how long a diagnosis of CHR remains appropriate after full remission has been achieved and continuously sustained. Future research may permit recommendations for a definition of recovery or for use of a term such as “past history of a CHR diagnosis.”
4.4 Implications
Current status distinctions (progression, persistence, partial remission, full remission) for CHR patients appear to be valid and potentially useful. Their application to additional samples may be warranted.
Supplementary Material
Acknowledgments
Role of the funding source
This study was supported by the National Institute of Mental Health (grants U01 MH066160 and U01 MH082022 to Dr Woods; grants U01 MH066134 and U01 MH081984 to Dr Addington; grants U01 MH060720, R01 MH60720, U01 MH081944 and K24 MH76191 to Dr Cadenhead; grants U01 MH065079 and MH081902 to Dr Cannon; grants U01 MH061523 and U01 MH081857 to Dr Cornblatt; grants U01 MH066069 and U01 MH082004 to Dr Perkins; grants U01 MH065562, U01 MH081928, P50 MH080272 and Commonwealth of Massachusetts SCDMH82101008006 to Dr Seidman; and grants U01 MH062066 and U01 MH081988 to Dr Walker). The NIMH had no further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the paper for publication.
The NAPLS Group: J Stowkowy, T Raedler, L McGregor, D Marulanda, L Legere, L Liu, C Marshall, E Falukozi, E Fitton, and K Smith (University of Calgary); T Alderman, K Shafer, I Domingues, and A Hurria, H Mirzakhanian (UCSD); B Walsh, J Saksa, N Santamauro, A Carlson, J Kenney, and B Roman (Yale University); K Woodberry, AJ Giuliano,W Stone, JM Rodenhiser, L Tucker, R Serur, G Min, and R Szent-Imrey (Beth Israel Deaconess Medical Center/Harvard); C Bearden, P Bachman, J Zinberg, S DeSilva, A Andaya, and S Uguryan (UCLA); J Brasfield, and H Trotman (Emory University); A Pelletier, K Lansing, H Mates, J Nieri, B Landaas, K Graham, E Rothman, J Hurta, and Y Sierra (University of North Carolina); A Auther, R Carrion, M McLaughlin, and R Olsen (Zucker Hillside Hospital). We thank an anonymous reviewer of a previous version of this manuscript for the suggesting the expression “progression trumps persistence trumps partial remission trumps full remission.” The authors also wish to acknowledge the contributions of Tandy J. Miller PhD (1959-2005). Dr. Miller participated in early formulations of the proposed current status specifiers and also contributed substantially to data collection for the NAPLS-1 dataset.
Footnotes
Contributors
All authors contributed to the design of the NAPLS-1. Dr Woods took the lead on defining the current status specifiers, analyzing the data, and writing the first draft. All authors contributed to and approved the final manuscript.
Conflict of interest
Dr. Woods reports that within three years of beginning this work he has received investigator-initiated research funding support from UCB Pharma, Eli Lilly, Janssen, Pfizer, and Bristol-Myers Squibb and has consulted to Otsuka and Schering-Plough. He has also served as an unpaid consultant to DSM-5. Drs. Walsh, Addington, Cadenhead, Seidman, Tarbox, Tsuang, and Walker report no actual or potential conflict of interest. Dr. Cannon reports that within three years of beginning this work he has served as a consultant for Janssen Pharmaceuticals and Eli Lilly. Dr. Cornblatt reports that within three years of beginning this work she has served as a consultant for Lilly, Bristol-Meyers Squibb and Janssen Pharmaceuticals and has received unrestricted educational grants from Janssen. Dr. Heinssen is an employee of the US National Institutes of Health. Dr. Perkins reports that within three years of beginning this work she has received research funding from AstraZeneca Pharmaceuticals LP, Bristol-Myers Squibb, Otsuka Pharmaceutical Co. Ltd, Eli Lilly and Co., Janssen Pharmaceutica Products, and Pfizer Inc.; and consulting and educational fees from AstraZeneca Pharmaceuticals LP, Bristol-Myers Squibb, Eli Lilly and Co., Janssen Pharmaceuticals, GlaxoSmithKline, Forest Labs, Pfizer Inc, and Shire. Dr. McGlashan reports that within three years of beginning this work he has received investigator-initiated research funding support from Eli Lilly Company. He has also served as a consultant for Lilly, Pfizer, Solvay/Wyeth, and Roche pharmaceuticals and as an unpaid consultant to DSM-5.
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