Hostname: page-component-8448b6f56d-gtxcr Total loading time: 0 Render date: 2024-04-23T06:00:01.918Z Has data issue: false hasContentIssue false

Two distinct patterns of treatment resistance: clinical predictors of treatment resistance in first-episode schizophrenia spectrum psychoses

Published online by Cambridge University Press:  08 September 2016

J. Lally*
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Psychosis Service, South London and Maudsley NHS Foundation Trust, London, UK Department of Psychiatry, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
O. Ajnakina
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
M. Di Forti
Affiliation:
MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
A. Trotta
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
A. Demjaha
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
A. Kolliakou
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK
V. Mondelli
Affiliation:
National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK
T. Reis Marques
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
C. Pariante
Affiliation:
National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK
P. Dazzan
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
S. S. Shergil
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Psychosis Service, South London and Maudsley NHS Foundation Trust, London, UK National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
O. D. Howes
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK MRC Clinical Sciences Centre (Imperial Hammersmith Campus)
A. S. David
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
J. H. MacCabe
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Psychosis Service, South London and Maudsley NHS Foundation Trust, London, UK
F. Gaughran
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Psychosis Service, South London and Maudsley NHS Foundation Trust, London, UK
R. M. Murray
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Psychosis Service, South London and Maudsley NHS Foundation Trust, London, UK
*
*Address for correspondence: Dr J. Lally, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK. (Email: john.lally@kcl.ac.uk)
Rights & Permissions [Opens in a new window]

Abstract

Background

Clozapine remains the only evidence-based antipsychotic for treatment-resistant schizophrenia (TRS). The ability to predict which patients with their first onset of schizophrenia would subsequently meet criteria for treatment resistance (TR) could help to diminish the severe functional disability which may ensue if TR is not recognized and correctly treated.

Method

This is a 5-year longitudinal assessment of clinical outcomes in a cohort of 246 first-episode schizophrenia spectrum patients recruited as part of the NIHR Genetics and Psychosis (GAP) study conducted in South London from 2005 to 2010. We examined the relationship between baseline demographic and clinical measures and the emergence of TR. TR status was determined from a review of electronic case records. We assessed for associations with early-, and late-onset TR, and non-TR, and differences between those TR patients treated with clozapine and those who were not.

Results

Seventy per cent (n = 56) of TR patients, and 23% of the total study population (n = 246) were treatment resistant from illness onset. Those who met criteria for TR during the first 5 years of illness were more likely to have an early age of first contact for psychosis (<20 years) [odds ratio (OR) 2.49, 95% confidence interval (CI) 1.25–4.94] compared to those with non-TR. The relationship between an early age of first contact (<20 years) and TR was significant in patients of Black ethnicity (OR 3.71, 95% CI 1.44–9.56); and patients of male gender (OR 3.13 95% CI 1.35–7.23).

Conclusions

For the majority of the TR group, antipsychotic TR is present from illness onset, necessitating increased consideration for the earlier use of clozapine.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2016 

Introduction

Treatment-resistant schizophrenia (TRS) is a major cause of disability and functional impairment and affects up to 30% of those diagnosed with schizophrenia (Meltzer, Reference Meltzer1997). Clozapine is the only evidenced-based effective medication for TRS. In the UK, it is recommended that clozapine be offered to people with schizophrenia whose illness has not responded adequately to treatment despite the sequential use of adequate doses of at least two different antipsychotic drugs (NICE, 2014). At present it is not possible to predict those who will not respond to first-line antipsychotic treatments.

Early identification of patients who require clozapine has the potential to improve clinical outcomes and minimize the social and functional disability that results from prolonged psychosis (Lewis et al. Reference Lewis, Barnes, Davies, Murray, Dunn, Hayhurst, Markwick, Lloyd and Jones2006; Wheeler et al. Reference Wheeler, Humberstone and Robinson2009; Stroup et al. Reference Stroup, Gerhard, Crystal, Huang and Olfson2016). Previous studies investigating risk factors for treatment resistance (TR) have utilized clozapine prescription rates as a proxy measure of TR (Nielsen et al. Reference Nielsen, Roge, Schjerning, Sorensen and Taylor2012b ; Stroup et al. Reference Stroup, Gerhard, Crystal, Huang and Olfson2014; Schneider et al. Reference Schneider, Papachristou, Wimberley, Gasse, Dima, MacCabe, Mortensen and Frangou2015); however, given the under-utilization of clozapine in clinical practice, such studies do not measure all people with TR. Although, a few potential risk factors for TR, such as poor premorbid functioning, living in less urban areas, co-morbid personality disorder, longer duration of untreated psychosis (DUP), greater severity of negative symptoms, and a younger age of illness onset have been suggested (Vanelle et al. Reference Vanelle, Olie and Levy-Soussan1994; Meltzer, Reference Meltzer1997; Schennach et al. Reference Schennach, Riedel, Musil and Moller2012; Ortiz et al. Reference Ortiz, Araujo Filho, Araripe Neto, Medeiros and Bressan2013; Frank et al. Reference Frank, Lang, Witt, Strohmaier, Rujescu, Cichon, Degenhardt, Nothen, Collier, Ripke, Naber and Rietschel2015; Martin & Mowry, Reference Martin and Mowry2016; Wimberley et al. Reference Wimberley, Støvring, Sørensen, Horsdal, MacCabe and Gasse2016), the predictive value of specific clinical and demographic factors on TR in first-episode schizophrenia has not yet been widely investigated (Lin et al. Reference Lin, Wang, Chen, Liou, Bai, Lai, Chen, Chiu and Li2008). Further, while there is a large literature investigating predictors of treatment response and remission from illness onset (Menezes et al. Reference Menezes, Arenovich and Zipursky2006; Carbon & Correll, Reference Carbon and Correll2014), TR has not been examined longitudinally as an outcome measure in first-episode psychosis (FEP).

Therefore in our study, using a quasi-prospective cohort design, we sought to identify clinical and demographic risk factors, noted at first contact for psychosis, which were predictive of TR as assessed at the end of the first 5 years of illness. We explored associations between TR and a number of risk predictors, including type and severity of symptoms, gender, age at first contact for psychosis, ethnicity, DUP and premorbid level of functioning. We looked for differential clinical and social factors between those who showed ‘early-resistant’ TR (E-TR) (within 6 months of first onset of schizophrenia with no period of remission from illness onset) and those with ‘late-resistant’ TR (L-TR). We further assessed for differences between those with E-TR and those who did not meet criteria for treatment resistance (non-TR), and those with L-TR and those who were non-TR. We additionally compared the TR patients treated with clozapine with those who met the criteria for TR but had not received clozapine, in terms of sociodemographic and clinical characteristics at the time of first illness onset.

Method

Sample ascertainment

Participants were recruited as part of the National Institute of Health Research (NIHR) Biomedical Research Centre (BRC) Genetics and Psychosis (GAP) study conducted in the urban centre of South London, UK. Further details of the study are available in Di Forti et al. (Reference Di Forti, Sallis, Allegri, Trotta, Ferraro, Stilo, Marconi, La Cascia, Reis Marques, Pariante, Dazzan, Mondelli, Paparelli, Kolliakou, Prata, Gaugrhan, David, Morgan, Sthal, Khondoker, MacCabe and Murray2014). For the purpose of the present study, only FEP cases who met criteria for the following ICD-10 diagnoses: F20.0, F25.0, F28.0, F29.0 (referred to as schizophrenia spectrum psychosis; there are no cases of schizotypal disorder included) (WHO, 1992) validated by administration of the Schedules for Clinical Assessment in Neuropsychiatry (SCAN; WHO, 1994) were included at baseline. All cases had been admitted to psychiatric inpatient units or seen by community-based mental health teams of the South London and Maudsley (SLaM) NHS Foundation Trust, London between December 2005 and October 2010. All recruited cases were aged 18–65 years and were resident in the study catchment area. The study exclusion criteria were (1) evidence of  psychotic symptoms precipitated by an organic cause; (2) evidence of transient psychotic symptoms resulting from acute intoxication as defined by ICD-10; (3) moderate or severe learning disabilities as defined by ICD-10; or (4) head injury causing clinically significant loss of consciousness.

Ethics

The BRC-GAP study was granted ethical approval by the South London and Maudsley and Institute of Psychiatry Local Research Ethics Committee (reference no. 05/Q0706/158). All cases gave informed written consent after reading a detailed information sheet.

Data ascertainment at baseline

Sociodemographic characteristics

Information on sociodemographic characteristics was collated using the Medical Research Council (MRC) Socio-demographic Schedule modified version (Mallett et al. Reference Mallett, Leff, Bhugra, Pang and Zhao2002). Age at first contact with mental health services for psychosis was further categorized into four groups based on the results of interquartile analyses (18–20, 21–25, 26–30, >31 years). Ethnicity was self-ascribed using the 16 categories employed by the UK Census in 2001 (http://www.statistics.gov.uk/census 2001). A detailed assessment of lifetime patterns of cannabis use and alcohol intake was collated employing the Cannabis Experience Questionnaire modified version (Di Forti et al. Reference Di Forti, Morgan, Dazzan, Pariante, Mondelli, Marques, Handley, Luzi, Russo, Paparelli, Butt, Stilo, Wiffen, Powell and Murray2009).

Clinical assessments

The baseline diagnoses were made from face-to-face interviews and mental health records according to ICD-10 criteria (WHO, 1992) utilizing the Operational Criteria Checklists (OPCRIT; McGuffin et al. Reference McGuffin, Farmer and Harvey1991). The OPCRIT system consists of a 90-item checklist and uses computerized diagnostic algorithms based on published criteria to provide a diagnostic category for each subject employing a number of classification systems (McGuffin et al. Reference McGuffin, Farmer and Harvey1991). The degree of psychopathology at first presentation to mental health services was measured on the Positive and Negative Syndrome Scale (PANSS; Kay et al. Reference Kay, Fiszbein and Opler1987). Overall functional disability was assessed using the Global Assessment of Functioning (GAF). DUP was defined as the difference between the date of onset of psychotic symptoms to the date of treatment with antipsychotic medications (Singh et al. Reference Singh, Cooper, Fisher, Tarrant, Lloyd, Banjo, Corfe and Jones2005; Malla et al. Reference Malla, Norman, Schmitz, Manchanda, Bechard-Evans, Takhar and Haricharan2006).

The Family Interview for Genetic Studies (FIGS; https://www.nimhgenetics.org/interviews/figs) and clinical records were used to obtain information about patients’ family history of mental health problems. A family history of psychosis variable was derived following consensus diagnoses based on the available information and referred to the presence or absence of a current or past psychotic disorder in at least one first-degree relative.

Current IQ was estimated using Wechsler Adult Intelligence Scale, version III (WAIS-III; Wechsler, Reference Wechsler1997) and pre-morbid IQ was estimated using the Wechsler Test of Adult Reading (WTAR; Wechsler, Reference Wechsler2001). Premorbid and current IQ estimates, and the difference in IQ estimate between the premorbid and current IQ were compared between the TR and non-TR groups.

Tracing patients at follow-up

Approximately 5 years after first contact for psychosis, a retrospective database search of clinical history was carried out using the Electronic Psychiatric Clinical Records (EPCRs) database in the SLaM. The EPCRs are the primary clinical records system within the Trust. The EPCRs were searched from the time of FEP for a follow-up period of 5 years in order to complete the data extraction. All deaths and emigrations up to and including those that occurred during the final year of follow-up were identified by a case-tracing procedure with the Office for National Statistics (ONS) for England and Wales and the General Register Office (GRO) for Scotland.

Data at follow-up

At follow-up, extensive information was collated across clinical and social outcome domains, from clinical records using the WHO Life Chart Schedule (LCS) extended version (Sartorius et al. Reference Sartorius, Gulbinat, Harrison, Laska and Siegel1996). The LCS is designed to provide retrospective assessments of the long-term course of schizophrenia. Detailed information was collated on medication history including the number of antipsychotic medications used prior to commencing clozapine, medication initiation/discontinuation dates, antipsychotic dose, medication adherence and the primary reason for changing or discontinuing each antipsychotic medication.

Definitions of TR

Patients were defined as having TR if they had been treated with clozapine at any point during the 5-year follow-up period. We also defined cases as TR if during the follow-up period they showed little or no symptomatic improvement to two consecutive treatments with antipsychotic medications of adequate dose and duration (at least 6 weeks), even though they were not commenced on clozapine (NICE, 2014). An adequate daily dose of antipsychotic medication was defined according to a daily dose of at least 400 mg chlorpromazine equivalence (Leucht et al. Reference Leucht, Samara, Heres, Patel, Woods and Davis2014). We only included as cases those patients, who failed to respond, and not those who were intolerant of antipsychotic medications or those who self-discontinued medication.

Those who met the criteria for TR were divided into two subgroups: (1) E-TR were those cases who met criteria for TR and who did not experience a symptomatic remission from the time of the first presentation and (2) L-TR were those cases who had experienced a response to antipsychotics and attained a symptomatic remission (of at least 6 months duration), but at a later stage failed to respond to the ongoing use of non-clozapine antipsychotics, meeting the criteria for TR.

Similar to earlier work conducted in the same geographical region (Morgan et al. Reference Morgan, Lappin, Heslin, Donoghue, Lomas, Reininghaus, Onyejiaka, Croudace, Jones, Murray, Fearon, Doody and Dazzan2014; Revier et al. Reference Revier, Reininghaus, Dutta, Fearon, Murray, Doody, Croudace, Dazzan, Heslin, Onyejiaka, Kravariti, Lappin, Lomas, Kirkbride, Donoghue, Morgan and Jones2015), and in keeping with work from Andreasen et al. (Reference Andreasen, Carpenter, Kane, Lasser, Marder and Weinberger2005), using information extracted from clinical records, remission was defined as the absence of overt psychotic symptoms, including positive or and negative symptoms (operationalized as a score of 0 or 1 on rating scale 2 in the SCAN (WHO, 1994); 0 = absence, 1 = symptom occurred, but fleeting, 2 = symptom definitely present, 3 = symptom present more or less continuously) for ⩾6 months. This definition of remission was not dependent on the presence of non-psychotic symptoms (e.g. depressed mood), nor whether the patients were receiving treatment during remission.

Data analysis

Comparisons between the groups were conducted using χ2 tests or Fisher's exact test for categorical variables and t test or Mann–Whitney U test for continuous variables. Penalized logistic regression (PLR) was used to analyse the relationship between the predictors for TR (Heinze & Schemper, Reference Heinze and Schemper2002). To explore the moderating effects of gender and ethnicity in predicting the risk for TR, we examined whether there were significant interactions between these variables and the independent predictors of TR status at follow-up. Confounding factors were identified through correlation analyses between the primary outcome (i.e. TR v. non-TR at 5 years) and a number of clinical and sociodemographic factors measured at baseline and during the follow-up period. All variables with p < 0.05 were included in the final model as confounding factors. Consequently, we adjusted the PLR analyses for the following variables: age at first contact for psychosis; living arrangements, and employment status and alcohol/substance misuse during the follow-up period. All analyses were conducted in Stata release 14 (StataCorp LP, USA).

Results

Sample characteristics

At first onset of psychosis, the sample comprised 283 cases with a diagnosis of a schizophrenia spectrum psychosis (ICD-10 classification codes: F20.0, F25.0, F28.0, F29.0), with an average age of 27.7 (s.d. = 8.6) years. Seventy three per cent were admitted to hospital at the time of their first presentation with psychosis and at the time of study recruitment, with 27% recruited from community based mental health settings. There were no significant differences between those recruited from an inpatient setting and those from a community setting in mean total PANSS scores (p = 0.35), and mean negative PANSS scores (p = 0.70) between those recruited from an inpatient setting and those from a community setting. Inpatients had significantly increased mean positive PANSS scores compared to those recruited from community settings (p = 0.02).

A flow chart depicting how the cases were traced and administrative outcomes is presented in Fig. 1. Approximately 5 years (mean = 5.4, s.d. = 2.5 years; 1310 persons-years) after first contact for psychosis, 10 (3.5%) cases had emigrated, four (1.4%) had died, two (0.7%) were excluded on the basis of lack of sufficient information to trace these patients over time and 21 (7.4%) cases were unable to be contacted. Those who died were significantly older (Supplementary Table S1).

Fig. 1. Flow chart of traced cases and administrative outcomes.

Core analytic cohort

We successfully traced 246 (86.7%) of the original cohort. Of these, 67.5% were male and 60.0% were of Black ethnicity. There were 240 cases with sufficient treatment information over the follow-up period to determine TR or non-TR status. Eighty-one (33.7%) of the cases met our criteria for TR and 159 (66.3%) were non-TR. The other six (2.4% of the core analytic cohort) cases had not received an adequate trial of antipsychotic to allow it to be determined if criteria for TR, or for non-TR was met.

Comparisons in baseline sociodemographic and clinical characteristics between the TR group and non-TR group are presented in Table 1. The TR group had a significantly younger age at first contact for FEP (mean = 25.2, s.d. = 6.4 years) than the non-TR group (mean = 27.9, s.d. = 8.3 years) (t 238 = 2.57, p = 0.01). The median length of DUP for the non-TR group was 4 weeks [interquartile range (IQR) = 1–17] which was not significantly different from DUP in the TR group (median = 4.5 weeks, IQR = 1–26; Mann–Whitney U test = −0.92, p = 0.36). Patients with TR did not have an increased family history of psychosis compared to patients in the non-TR group (χ2 = 0.10, df = 1, p = 0.75). There was no significant difference between the mean IQ in the TR group (mean = 92.6, s.d. = 13.0) compared to the non-TR group (mean = 87.5, s.d. = 16.2; Mann–Whitney U test = −1.25, p = 0.22). The mean premorbid IQ was higher in the TR group (mean = 92.8, s.d. = 9.6) compared to those in the non-TR group (mean = 88.5, s.d. = 11.0), but this did not reach statistical significance (Mann–Whitney U test = −1.58, p = 0.11). There were no other significant differences between the groups in terms of other baseline socio-demographic characteristics.

Table 1. Baseline sample characteristics for the non-treatment-resistance (TR) and TR groups

s.d., Standard deviation; df, degrees of freedom; IQR, interquartile range; DUP, duration of untreated psychosis.

Predictors of TR

Baseline clinical predictors of TR at 5-year follow up for the whole sample and stratified by ethnicity and gender are presented in Table 2. Those patients who were defined as TR were more likely to have an early age of first contact with mental health services (<20 years) compared to the non-TR group [odds ratio (OR) 2.49, 95% confidence interval (CI) 1.25–4.94]. There were significant interactions between age at first contact for psychosis with ethnicity (p = 0.02) and gender (p = 0.002). Therefore, in addition to exploring the impact of age at first contact in predicting TR in the cohort, we further stratified the analyses by gender and ethnicity. We observed that this relationship between an early age of first contact for psychosis (<20 year) and TR was significant in cases of Black ethnicity (OR 3.71, 95% CI 1.44–9.56) and in male patients (OR 3.13, 95% CI 1.35–7.23) (Table 3).

Table 2. Baseline clinical predictors of treatment resistance (TR) in a sample with schizophrenia spectrum disorder

OR, odds ratio; CI, confidence interval; s.d., standard deviation; df, degrees of freedom; PANSS, Positive and Negative Syndrome Scale, GAF, Global Assessment of Functioning Scale; DUP, duration of untreated psychosis.

a Adjusted for alcohol use, illicit substance use and living arrangements at follow-up.

b Adjusted for age at first contact, alcohol use, illicit substance use and living arrangements at follow-up.

*p < 0.05, **p < 0.01, ***p < 0.001.

Table 3. Age at first contact as a baseline predictor of treatment resistance in a sample with schizophrenia spectrum disorder stratified by gender and ethnicity

TRS, Treatment-resistant schizophrenia; OR, odds ratio; CI, confidence interval; s.d., standard deviation; df, degrees of freedom; PANSS, Positive and Negative Syndrome Scale, GAF, Global Assessment of Functioning Scale; DUP, duration of untreated psychosis.

a Adjusted for alcohol use, illicit substance use and living arrangements at follow-up.

*p < 0.05, **p < 0.01, ***p < 0.001.

‘Clozapine’ group v. ‘met criteria’ group

Among those patients who were defined as TR, 38 cases (46.9% of n = 81, and 15.4% of 246 cases with a diagnosis of schizophrenia spectrum psychosis at study recruitment) commenced treatment with clozapine; whereas 43 cases (53.1% of n = 81) met criteria for clozapine treatment but did not commence it. A higher proportion of patients in the clozapine group (91%) lived with family members or friends compared to the ‘met criteria’ group (48.0%) (χ2 = 6.04, p = 0.01). The clozapine group exhibited more severe psychopathology (t 27 = 2.49, p = 0.02) and negative symptoms (Mann–Whitney U test = 2.410, p = 0.03) compared to the ‘met criteria’ group at first contact for psychosis (Supplementary Table S2).

The clozapine group had increased negative symptoms (mean 21.7, s.d. = 9.1) compared to the non-TR group (mean 15.4, s.d. = 6.0; Mann–Whitney U test = −2.22 p = 0.02).

E-TR v. L-TR and v. the non-TR groups

Among those with TR, 56 (70.0% of 80 with TR) were E-TR and 24 (30.0% of n = 80) were L-TR. The E-TR group expressed more severe psychopathology at baseline (mean total PANSS score = 69.9, s.d. = 20.4) than the non-TR group (mean total PANSS score = 60.9 s.d. = 16.4; t 95 = −1.98, p = 0.05) (Supplementary Table S3). Cases in the L-TR group were significantly younger at the time of first contact for psychosis (mean = 23.7, s.d. = 5.1 years) compared to the non-TR group (mean = 27.9, s.d. = 8.3 years; t 181 = 2.44, p = 0.02) (Supplementary Table S4).

A higher proportion of the E-TR group (74% of n = 56) were male compared to the L-TR group (46%) (χ2 = 6.39, p = 0.01). There were no other significant differences between the groups in terms of ethnicity, socio-demographic and clinical characteristics at baseline.

Discussion

This is the largest study of a first-episode schizophrenia spectrum psychosis cohort to assess the clinical and demographic risk factors associated with the emergence of TR. TR illness was seen in 34% of patients by 5 years follow-up. Our principal finding was that 70% of the TR cases did not respond to antipsychotics from illness onset.

An earlier age of first contact for psychosis was strongly associated with TR at 5 years follow-up. This finding of an association between a first contact with mental health services for psychosis before the age of 20 and TR was most marked for males, and for those of Black ethnicity. Early-onset schizophrenia is associated with worse outcomes compared to adult-onset schizophrenia (Ropcke & Eggers, Reference Ropcke and Eggers2005; Vyas et al. Reference Vyas, Hadjulis, Vourdas, Byrne and Frangou2007), and a younger age of illness onset has been previously associated with the emergence of TR (Vanelle, Reference Vanelle1995; Meltzer et al. Reference Meltzer, Rabinowitz, Lee, Cola, Ranjan, Findling and Thompson1997), although our study is the first longitudinal study in first-episode schizophrenia spectrum psychoses to identify this. These findings should alert clinicians to be more vigilant in individuals with a first episode of schizophrenia spectrum psychosis in late adolescence (age <20) in terms of their response (or lack thereof) to initial trials of antipsychotics and to be prepared to use clozapine more promptly when a lack of response is evident.

There was no difference between age of first contact in the TR group between males and females, although in the non-TR group, males were younger at the time of first contact. This observation, combined with the younger age of schizophrenia onset in those who eventually develop a TR course of illness is compatible with a greater role for neurodevelopmental impairment in this subgroup of schizophrenia patients, and a course of illness which differs premorbidly from that of non-TR patients. However, we did not find that the estimated deterioration in IQ scores, or a family history of psychosis was greater in the TR group compared to the non-TR group, and we did not identify that environmental risk factors were more prevalent in the non-TR group. These findings do not provide support for a neurodevelopmental pre-eminence in the TR group.

The severity of baseline clinical symptom profiles was not associated with TR over the course of the 5-year follow-up. Although, we were unable to identify any associations with increased negative symptomatology at first contact and the emergence of TR, they were predictive of those who had been treated with clozapine. Further, we found that increased severity of psychotic symptoms at baseline was associated with E-TR compared to those with non-TR.

E-TR and L-TR

Of the TR group, 70% displayed unremitting symptoms from the time of first antipsychotic treatment. The finding that 23% of the total population met the criteria for TR from illness onset indicates that this course of illness is not associated with prior antipsychotic use and raises the possibility that it may be a distinctive and homogenous schizophrenia subgroup, in line with evidence that there are biological differences between TR and treatment-responsive schizophrenia (Demjaha et al. Reference Demjaha, Murray, McGuire, Kapur and Howes2012, Reference Demjaha, Egerton, Murray, Kapur, Howes, Stone and McGuire2014). This finding mirrors the rate of 20% who displayed ‘chronicity’ from illness outset in a FEP population (Wiersma et al. Reference Wiersma, Nienhuis, Slooff and Giel1998), although is higher than a previous finding of 10% of FEP cases found to have shown no response to antipsychotics at the end of the first year of treatment (Robinson et al. Reference Robinson, Woerner, Alvir, Geisler, Koreen, Sheitman, Chakos, Mayerhoff, Bilder, Goldman and Lieberman1999). Further, our finding that 70% of the TR group displayed E-TR, is similar to an earlier study in established schizophrenia, which identified that over half of patients with ‘poor outcomes’, remained psychotic from illness onset (Kolakowska et al. Reference Kolakowska, Williams, Ardern, Reveley, Jambor, Gelder and Mandelbrote1985). The high rates of early resistance of those with TR in this population is an important finding, which needs to be viewed in relation to the delay in clozapine use which exists in clinical practice (Howes et al. Reference Howes, Vergunst, Gee, McGuire, Kapur and Taylor2012), specifically the under use of clozapine within the first 1–2 years of illness presentation.

A minority of those with TR (i.e. 30%) initially responded to antipsychotic medications, before developing L-TR. One possibility is that the loss of antipsychotic response may be due to the emergence of dopamine receptor supersensitivity in these cases. Dopamine supersensitivity is postulated to occur due to up-regulation of dopamine receptors and neural adaptation (Chouinard, Reference Chouinard1991; Iyo et al. Reference Iyo, Tadokoro, Kanahara, Hashimoto, Niitsu, Watanabe and Hashimoto2013) and it has been estimated that 50% of TR might be due to the emergence of dopamine supersensitivity (Chouinard & Chouinard, Reference Chouinard and Chouinard2008). Conversely, previous studies have found that over the course of illness, approximately one in six develop a lack of antipsychotic response subsequent to relapses (Wiersma et al. Reference Wiersma, Nienhuis, Slooff and Giel1998; Emsley et al. Reference Emsley, Nuamah, Hough and Gopal2012), a lower rate of L-TR than the 30% identified in our study. It may be that there was a greater delay in treatment change for patients who relapsed in our naturalistic clinical setting, than in the closely monitored setting of the open label study of (Emsley et al. Reference Emsley, Nuamah, Hough and Gopal2012) in which patients had a treatment initiation at the time of relapse. This delay in antipsychotic use, may have contributed to the higher rate of L-TR which we have identified, due to the evolving nature of TR in the context of relapse.

Our findings indicate that two distinct patterns of TR develops in patients, with the majority displaying TR from the onset, and a smaller subset of patients developing TR after periods of relapse, or with a later emergence of an intrinsic TR with a propensity for poorer outcomes and attenuated antipsychotic response overtime.

Implications for practice

Increasingly, cases of first-episode schizophrenia spectrum disorders in higher-income countries are managed within dedicated early intervention and FEP services; however, delays remain in the initiation of clozapine (Howes et al. Reference Howes, Vergunst, Gee, McGuire, Kapur and Taylor2012). In our study, 70% of those with TR would have been most appropriately treated with clozapine at an early stage of their presentation, particularly given evidence that early treatment with clozapine is effective (Agid et al. Reference Agid, Arenovich, Sajeev, Zipursky, Kapur, Foussias and Remington2011), and that worse outcomes are seen with a delayed use of clozapine (Nielsen et al. Reference Nielsen, Nielsen and Correll2012a , Ucok et al. Reference Ucok, Cikrikcili, Karabulut, Salaj, Ozturk, Tabak and Durak2015). There is a need for a greater awareness and appreciation within FEP services that early resistance to antipsychotics is a not uncommon phenomenon. We would conjecture that on the basis of our findings consideration for early and judicious use of clozapine is appropriate.

Access to clozapine

Clozapine was commenced in less than half of those with TR over the course of the 5 years follow-up. Those who were commenced on clozapine in our study, were more likely to exhibit more severe psychotic symptoms, and increased negative symptomatology at baseline, when compared to those who ‘met-criteria’ for clozapine use, indicating that a more florid psychosis is likely a factor in a clinician's decision for the earlier use of clozapine in TR. Perhaps a more significant finding in relation to practice and clozapine initiation, was that those started on clozapine were significantly more likely to be living at home with family, compared to those who ‘met criteria’ for TR. Perhaps clozapine treatment is restricted for some who meet criteria for TR, due to a lack of family support (perceived or otherwise) or due to unstable living arrangements. These factors should prompt consideration for the provision of more dedicated hospital and community facilities to allow for the successful completion of the early stages of clozapine use, with adequate supported accommodation provided as required, to enable continued clozapine use. There is some evidence that such an approach is effective in increasing access to clozapine (Beck et al. Reference Beck, McCutcheon, Bloomfield, Gaughran, Reis Marques, MacCabe, Selvaraj, Taylor and Howes2014).

Methodological considerations

Strengths of this study include the quasi-prospective design which allowed for the follow up of first-episode schizophrenia spectrum psychosis cases over the first 5 years of illness. We have examined the course of TR in a naturalistic setting, from the time of the first use of antipsychotic medication, describing the pattern of TR onset, and identifying robust associations with the onset of TR.

Limitations to our study design include the small population of female patients and the lack of a robust measure of medication adherence, which may have affected the association with meeting the criteria for TR (McCutcheon et al. Reference McCutcheon, Beck, Bloomfield, Marques, Rogdaki and Howes2015). The unsystematic use of clozapine in this cohort is a further limitation in our estimation of TR, with over half of those meeting criteria for clozapine not treated with it.

We found notable clinical heterogeneity of course and outcome, with 34% of cases fulfilling the criteria for TR at 5 years, a relatively high rate, possibly reflecting the fact that a higher proportion were recruited from inpatient as opposed to community settings. A higher proportion recruited from inpatient settings, might indicate a greater clinical need, than those who were managed in the community setting (although who were not recruited to this study). However, we did not identify a greater illness severity as measured by total PANSS scores in those recruited from an inpatient setting compared to those recruited from a community setting. Nonetheless, the increased proportion of cases that were inpatients at the time of recruitment, and the recruitment from clinical services rather than by population screening or other methods may mean that the rate of TRS identified is an overestimate. We were unable to directly assess neurodevelopmental risk factors, (excepting a lack of difference in IQ and premorbid IQ between the TR and non-TR groups), which one might postulate would be increased in those with a higher risk of TR relating to a younger age of onset.

Conclusions

The findings from this study indicate that an early contact for psychosis during the ages of 18–20 years, particularly in males is a strong predictor of TRS. Seventy per cent of the TR subgroup presented with a TR picture at first contact, with no symptom remission occurring over the first 6 months of treatment. We did not find evidence suggesting that social factors and premorbid functioning were associated with the emergence of TR during the course of illness. Our findings reinforce the case for early assessment of TR in first-episode patients so that clozapine may be considered and introduced promptly as a third-line treatment in first-episode schizophrenia. Future studies with larger samples are required to replicate and progress this important area of clinical prediction.

Supplementary material

The supplementary material for this article can be found at http://dx.doi.org/10.1017/S0033291716002014.

Acknowledgements

The study was funded by the UK National Institute of Health Research (NIHR) Specialist Biomedical Research Centre (BRC) for Mental Health, under its IMPACT Programme (Grant Reference Number RP-PG-0606-1049), the NIHR BRC for Mental Health at SLaM NHS Foundation, and the IoPPN, King's College London (KCL), the Psychiatry Research Trust.

Declaration of Interest

S.S.S is supported by a European Research Council Consolidator Award. O.H. has received investigator-led grants and/or served as a speaker/consultant for Eli Lilly, Roche, Leyden-Delta, Lundbeck, Servier and Janssen-Cilag (J&J). A.S.D. has received honoraria from Janssen and Roche Pharmaceuticals. F.G. has received honoraria for advisory work and lectures from Roche, BMS, Lundbeck, Otsaka and Sunovion, is a collaborator on a NHS Innovations project co-funded by Janssen and has a family member with professional links to Lilly and GSK, including share options. R.M.M. has received honoraria from Janssen, AstraZeneca, Lilly, BMS.

The other authors have no declaration of interest to make.

References

Agid, O, Arenovich, T, Sajeev, G, Zipursky, RB, Kapur, S, Foussias, G, Remington, G (2011). An algorithm-based approach to first-episode schizophrenia: response rates over 3 prospective antipsychotic trials with a retrospective data analysis. Journal of Clinical Psychiatry 72, 14391444.CrossRefGoogle ScholarPubMed
Andreasen, NC, Carpenter, WT Jr., Kane, JM, Lasser, RA, Marder, SR, Weinberger, DR (2005). Remission in schizophrenia: proposed criteria and rationale for consensus. American Journal of Psychiatry 162, 441449.Google Scholar
Beck, K, McCutcheon, R, Bloomfield, MA, Gaughran, F, Reis Marques, T, MacCabe, J, Selvaraj, S, Taylor, D, Howes, OD (2014). The practical management of refractory schizophrenia – the Maudsley Treatment REview and Assessment Team service approach. Acta Psychiatrica Scandinavica 130, 427438.CrossRefGoogle ScholarPubMed
Carbon, M, Correll, CU (2014). Clinical predictors of therapeutic response to antipsychotics in schizophrenia. Dialogues in clinical neuroscience 16, 505524.Google Scholar
Chouinard, G (1991). Severe cases of neuroleptic-induced supersensitivity psychosis. Diagnostic criteria for the disorder and its treatment. Schizophrenia Research 5, 2133.Google Scholar
Chouinard, G, Chouinard, VA (2008). Atypical antipsychotics: CATIE study, drug-induced movement disorder and resulting iatrogenic psychiatric-like symptoms, supersensitivity rebound psychosis and withdrawal discontinuation syndromes. Psychotherapy and Psychosomatics 77, 6977.CrossRefGoogle ScholarPubMed
Demjaha, A, Egerton, A, Murray, RM, Kapur, S, Howes, OD, Stone, JM, McGuire, PK (2014). Antipsychotic treatment resistance in schizophrenia associated with elevated glutamate levels but normal dopamine function. Biological Psychiatry 75, e11e13.CrossRefGoogle ScholarPubMed
Demjaha, A, Murray, RM, McGuire, PK, Kapur, S, Howes, OD (2012). Dopamine synthesis capacity in patients with treatment-resistant schizophrenia. American Journal of Psychiatry 169, 12031210.Google Scholar
Di Forti, M, Morgan, C, Dazzan, P, Pariante, C, Mondelli, V, Marques, TR, Handley, R, Luzi, S, Russo, M, Paparelli, A, Butt, A, Stilo, SA, Wiffen, B, Powell, J, Murray, RM (2009). High-potency cannabis and the risk of psychosis. British Journal of Psychiatry 195, 488491.CrossRefGoogle ScholarPubMed
Di Forti, M, Sallis, H, Allegri, F, Trotta, A, Ferraro, L, Stilo, SA, Marconi, A, La Cascia, C, Reis Marques, T, Pariante, C, Dazzan, P, Mondelli, V, Paparelli, A, Kolliakou, A, Prata, D, Gaugrhan, F, David, AS, Morgan, C, Sthal, D, Khondoker, M, MacCabe, JH, Murray, RM (2014). Daily use, especially of high-potency cannabis, drives the earlier onset of psychosis in cannabis users. Schizophrenia Bulletin 40, 15091517.CrossRefGoogle ScholarPubMed
Emsley, R, Nuamah, I, Hough, D, Gopal, S (2012). Treatment response after relapse in a placebo-controlled maintenance trial in schizophrenia. Schizophrenia Research 138, 2934.Google Scholar
Frank, J, Lang, M, Witt, SH, Strohmaier, J, Rujescu, D, Cichon, S, Degenhardt, F, Nothen, MM, Collier, DA, Ripke, S, Naber, D, Rietschel, M (2015). Identification of increased genetic risk scores for schizophrenia in treatment-resistant patients. Molecular Psychiatry 20, 150151.Google Scholar
Heinze, G, Schemper, M (2002). A solution to the problem of separation in logistic regression. Statistics in Medicine 21, 24092419.CrossRefGoogle Scholar
Howes, OD, Vergunst, F, Gee, S, McGuire, P, Kapur, S, Taylor, D (2012). Adherence to treatment guidelines in clinical practice: study of antipsychotic treatment prior to clozapine initiation. British Journal of Psychiatry 201, 481485.Google Scholar
Iyo, M, Tadokoro, S, Kanahara, N, Hashimoto, T, Niitsu, T, Watanabe, H, Hashimoto, K (2013). Optimal extent of dopamine D2 receptor occupancy by antipsychotics for treatment of dopamine supersensitivity psychosis and late-onset psychosis. Journal of Clinical Psychopharmacology 33, 398404.Google Scholar
Kay, SR, Fiszbein, A, Opler, LA (1987). The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophrenia Bulletin 13, 261276.Google Scholar
Kolakowska, T, Williams, AO, Ardern, M, Reveley, MA, Jambor, K, Gelder, MG, Mandelbrote, BM (1985). Schizophrenia with good and poor outcome. I: Early clinical features, response to neuroleptics and signs of organic dysfunction. British Journal of Psychiatry 146, 229239.CrossRefGoogle ScholarPubMed
Leucht, S, Samara, M, Heres, S, Patel, MX, Woods, SW, Davis, JM (2014). Dose equivalents for second-generation antipsychotics: the minimum effective dose method. Schizophrenia Bulletin 40, 314326.Google Scholar
Lewis, SW, Barnes, TR, Davies, L, Murray, RM, Dunn, G, Hayhurst, KP, Markwick, A, Lloyd, H, Jones, PB (2006). Randomized controlled trial of effect of prescription of clozapine versus other second-generation antipsychotic drugs in resistant schizophrenia. Schizophrenia Bulletin 32, 715723.Google Scholar
Lin, CC, Wang, YC, Chen, JY, Liou, YJ, Bai, YM, Lai, IC, Chen, TT, Chiu, HW, Li, YC (2008). Artificial neural network prediction of clozapine response with combined pharmacogenetic and clinical data. Computer Methods and Programs in Biomedicine 91, 9199.CrossRefGoogle ScholarPubMed
Malla, A, Norman, R, Schmitz, N, Manchanda, R, Bechard-Evans, L, Takhar, J, Haricharan, R (2006). Predictors of rate and time to remission in first-episode psychosis: a two-year outcome study. Psychological Medicine 36, 649658.Google Scholar
Mallett, R, Leff, J, Bhugra, D, Pang, D, Zhao, JH (2002). Social environment, ethnicity and schizophrenia. A case-control study. Social Psychiatry and Psychiatric Epidemiology 37, 329335.Google Scholar
Martin, AK, Mowry, B (2016). Increased rare duplication burden genomewide in patients with treatment-resistant schizophrenia. Psychological Medicine 46, 469476.Google Scholar
McCutcheon, R, Beck, K, Bloomfield, MA, Marques, TR, Rogdaki, M, Howes, OD (2015). Treatment resistant or resistant to treatment? Antipsychotic plasma levels in patients with poorly controlled psychotic symptoms. Journal of Psychopharmacology 29, 892897.CrossRefGoogle ScholarPubMed
McGuffin, P, Farmer, A, Harvey, I (1991). A polydiagnostic application of operational criteria in studies of psychotic illness. Development and reliability of the OPCRIT system. Archives of General Psychiatry 48, 764770.Google Scholar
Meltzer, HY (1997). Treatment-resistant schizophrenia–the role of clozapine. Current Medical Research and Opinion 14, 120.Google Scholar
Meltzer, HY, Rabinowitz, J, Lee, MA, Cola, PA, Ranjan, R, Findling, RL, Thompson, PA (1997). Age at onset and gender of schizophrenic patients in relation to neuroleptic resistance. American Journal of Psychiatry 154, 475482.Google Scholar
Menezes, NM, Arenovich, T, Zipursky, RB (2006). A systematic review of longitudinal outcome studies of first-episode psychosis. Psychological Medicine 36, 13491362.Google Scholar
Morgan, C, Lappin, J, Heslin, M, Donoghue, K, Lomas, B, Reininghaus, U, Onyejiaka, A, Croudace, T, Jones, PB, Murray, RM, Fearon, P, Doody, GA, Dazzan, P (2014). Reappraising the long-term course and outcome of psychotic disorders: the AESOP-10 study. Psychological Medicine 44, 27132726.Google Scholar
NICE (2014). Psychosis and Schizophrenia in Adults: Treatment and Management (Clinical Guideline 178). Royal College of Psychiatrists: London.Google Scholar
Nielsen, J, Nielsen, RE, Correll, CU (2012 a). Predictors of clozapine response in patients with treatment-refractory schizophrenia: results from a Danish Register Study. Journal of Clinical Psychopharmacology 32, 678683.Google Scholar
Nielsen, J, Roge, R, Schjerning, O, Sorensen, HJ, Taylor, D (2012 b). Geographical and temporal variations in clozapine prescription for schizophrenia. European Neuropsychopharmacology 22, 818824.Google Scholar
Ortiz, BB, Araujo Filho, GM, Araripe Neto, AG, Medeiros, D, Bressan, RA (2013). Is disorganized schizophrenia a predictor of treatment resistance? Evidence from an observational study. Revista Brasileira de Psiquiatria 35, 432434.CrossRefGoogle ScholarPubMed
Revier, CJ, Reininghaus, U, Dutta, R, Fearon, P, Murray, RM, Doody, GA, Croudace, T, Dazzan, P, Heslin, M, Onyejiaka, A, Kravariti, E, Lappin, J, Lomas, B, Kirkbride, JB, Donoghue, K, Morgan, C, Jones, PB (2015). Ten-year outcomes of first-episode psychoses in the MRC AESOP-10 study. Journal of Nervous and Mental Disease 203, 379386.Google Scholar
Robinson, DG, Woerner, MG, Alvir, JM, Geisler, S, Koreen, A, Sheitman, B, Chakos, M, Mayerhoff, D, Bilder, R, Goldman, R, Lieberman, JA (1999). Predictors of treatment response from a first episode of schizophrenia or schizoaffective disorder. American Journal of Psychiatry 156, 544549.CrossRefGoogle ScholarPubMed
Ropcke, B, Eggers, C (2005). Early-onset schizophrenia: a 15-year follow-up. European Child & Adolescent Psychiatry 14, 341350.Google Scholar
Sartorius, N, Gulbinat, W, Harrison, G, Laska, E, Siegel, C (1996). Long-term follow-up of schizophrenia in 16 countries. A description of the International Study of Schizophrenia conducted by the World Health Organization. Social Psychiatry and Psychiatric Epidemiology 31, 249258.Google Scholar
Schennach, R, Riedel, M, Musil, R, Moller, HJ (2012). Treatment Response in First-episode Schizophrenia. Clinical Psychopharmacology and Neuroscience 10, 7887.CrossRefGoogle ScholarPubMed
Schneider, C, Papachristou, E, Wimberley, T, Gasse, C, Dima, D, MacCabe, JH, Mortensen, PB, Frangou, S (2015). Clozapine use in childhood and adolescent schizophrenia: A nationwide population-based study. European Neuropsychopharmacology 25, 857863.CrossRefGoogle ScholarPubMed
Singh, SP, Cooper, JE, Fisher, HL, Tarrant, CJ, Lloyd, T, Banjo, J, Corfe, S, Jones, P (2005). Determining the chronology and components of psychosis onset: The Nottingham Onset Schedule (NOS). Schizophrenia Research 80, 117130.Google Scholar
Stroup, TS, Gerhard, T, Crystal, S, Huang, C, Olfson, M (2014). Geographic and clinical variation in clozapine use in the United States. Psychiatric Services 65, 186192.CrossRefGoogle ScholarPubMed
Stroup, TS, Gerhard, T, Crystal, S, Huang, C, Olfson, M (2016). Comparative effectiveness of clozapine and standard antipsychotic treatment in adults with schizophrenia. American Journal of Psychiatry 173, 166173.Google Scholar
Ucok, A, Cikrikcili, U, Karabulut, S, Salaj, A, Ozturk, M, Tabak, O, Durak, R (2015). Delayed initiation of clozapine may be related to poor response in treatment-resistant schizophrenia. International Clinical Psychopharmacology 30, 290295.Google Scholar
Vanelle, JM (1995). Treatment refractory schizophrenia [in French]. L'Encephale 21 (Spec. No. 3), 1321.Google Scholar
Vanelle, JM, Olie, JP, Levy-Soussan, P (1994). New antipsychotics in schizophrenia: the French experience. Acta Psychiatrica Scandinavica (Suppl.) 380, 5963.Google Scholar
Vyas, NS, Hadjulis, M, Vourdas, A, Byrne, P, Frangou, S (2007). The Maudsley early onset schizophrenia study. Predictors of psychosocial outcome at 4-year follow-up. European Child & Adolescent Psychiatry 16, 465470.CrossRefGoogle Scholar
Wechsler, D (1997). Wechsler Adult Intelligence Scale. The Psychological Corporation: San Antonio, TX.Google Scholar
Wechsler, D (2001). Wechsler Test of Adult Reading: WTAR. Psychological Corporation: San Antonio, TX.Google Scholar
Wheeler, A, Humberstone, V, Robinson, G (2009). Outcomes for schizophrenia patients with clozapine treatment: how good does it get? Journal of Psychopharmacology 23, 957965.Google Scholar
WHO (1992). The ICD-10 Classification of Mental and Behavioural Disorders: Clinical Descriptions and Diagnostic Guidelines. World Health Organization: Geneva.Google Scholar
WHO (1994). Schedules for Clinical Assessment in Neuropsychiatry: Version 2: Manual. World Health Organization, Division of Mental Health: Geneva.Google Scholar
Wiersma, D, Nienhuis, FJ, Slooff, CJ, Giel, R (1998). Natural course of schizophrenic disorders: a 15-year followup of a Dutch incidence cohort. Schizophrenia Bulletin 24, 7585.Google Scholar
Wimberley, T, Støvring, H, Sørensen, HJ, Horsdal, HT, MacCabe, JH, Gasse, C (2016). Predictors of treatment resistance in patients with schizophrenia: a population-based cohort study. Lancet Psychiatry 3, 358366.Google Scholar
Figure 0

Fig. 1. Flow chart of traced cases and administrative outcomes.

Figure 1

Table 1. Baseline sample characteristics for the non-treatment-resistance (TR) and TR groups

Figure 2

Table 2. Baseline clinical predictors of treatment resistance (TR) in a sample with schizophrenia spectrum disorder

Figure 3

Table 3. Age at first contact as a baseline predictor of treatment resistance in a sample with schizophrenia spectrum disorder stratified by gender and ethnicity

Supplementary material: File

Lally supplementary material

Tables S1-S4

Download Lally supplementary material(File)
File 30.4 KB