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Diagnostic shifts during the decade following first admission for psychosis.

ABSTRACT: Diagnostic shifts have been prospectively examined in the short term, but the long-term stability of diagnoses has rarely been evaluated. The authors examined diagnostic shifts over a 10-year follow-up period.A cohort of 470 first-admission patients with psychotic disorders was systematically assessed at baseline and at 6-month, 2-year, and 10-year follow-ups. Longitudinal best-estimate consensus diagnoses were formulated after each assessment.At baseline, the diagnostic distribution was 29.6% schizophrenia spectrum disorders, 21.1% bipolar disorder with psychotic features, 17.0% major depression with psychotic features, 2.4% substance-induced psychosis, and 27.9% other psychoses. At year 10, the distribution changed to 49.8%, 24.0%, 11.1%, 7.0%, and 8.1%, respectively. Overall, diagnoses were changed for 50.7% of study participants at some point during the study. Most participants who were initially diagnosed with schizophrenia or bipolar disorder retained the diagnosis at year 10 (89.2% and 77.8%, respectively). However, 32.0% of participants (N=98) originally given a non-schizophrenia diagnosis had gradually shifted to a schizophrenia diagnosis by year 10. The second largest shift was to bipolar disorder (10.7% of those not given this diagnosis at baseline). Changes in the clinical picture explained many diagnostic shifts. In particular, poorer functioning and greater negative and psychotic symptom ratings predicted a subsequent shift to schizophrenia. Better functioning and lower negative and depressive symptom ratings predicted the shift to bipolar disorder.First-admission patients with psychotic disorders run the risk of being misclassified at early stages in the illness course, including more than 2 years after first hospitalization. Diagnosis should be reassessed at all follow-up points.

SUBMITTER: Bromet EJ

PROVIDER: S-EPMC3589618 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature

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Diagnostic shifts during the decade following first admission for psychosis.

Bromet Evelyn J EJ Kotov Roman R Fochtmann Laura J LJ Carlson Gabrielle A GA Tanenberg-Karant Marsha M Ruggero Camilo C Chang Su-wei SW

The American journal of psychiatry 20110615 11

<h4>Objective</h4>Diagnostic shifts have been prospectively examined in the short term, but the long-term stability of diagnoses has rarely been evaluated. The authors examined diagnostic shifts over a 10-year follow-up period.<h4>Method</h4>A cohort of 470 first-admission patients with psychotic disorders was systematically assessed at baseline and at 6-month, 2-year, and 10-year follow-ups. Longitudinal best-estimate consensus diagnoses were formulated after each assessment.<h4>Results</h4>At ...[more]

PMID: 21676994

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Project description:BackgroundValidity of current International Classification of Disease/Diagnostic and Statistical Manual of Mental Disorders (ICD/DSM) first episode psychosis diagnoses is essential in clinical practice, research, training and public health.MethodWe provide a meta-analytical estimate of prospective diagnostic stability and instability in ICD-10 or DSM-IV first episode diagnoses of functional psychoses. Independent extraction by multiple observers. Random effect meta-analysis conducted with the "metaprop," "metaninf," "metafunnel," "metabias," and "metareg" packages of STATA13.1. Moderators were tested with meta-regression analyses. Heterogeneity was assessed with the I 2 index. Sensitivity analyses tested robustness of results. Publication biases were assessed with funnel plots and Egger's test.Findings42 studies and 45 samples were included, for a total of 14 484 first episode patients and an average follow-up of 4.5 years. Prospective diagnostic stability ranked: schizophrenia 0.90 (95% CI 0.85-0.95), affective spectrum psychoses 0.84 (95% CI 0.79-0.89), schizoaffective disorder 0.72 (95% CI 0.61-0.73), substance-induced psychotic disorder 0.66 (95% CI 0.51-0.81), delusional disorder 0.59 (95% CI 0.47-0.71), acute and transient psychotic disorder/brief psychotic disorder 0.56 (95% CI 0.62-0.60), psychosis not otherwise specified 0.36 (95% CI 0.27-0.45, schizophreniform disorder 0.29 (95% CI 0.22-0.38). Diagnostic stability within schizophrenia spectrum psychoses was 0.93 (95% CI 0.89-0.97); changes to affective spectrum psychoses were 0.05 (95% CI 0.01-0.08). About 0.10 (95% CI 0.05-0.15) of affective spectrum psychoses changed to schizophrenia spectrum psychosis. Across the other psychotic diagnoses there was high diagnostic instability, mostly to schizophrenia.InterpretationThere is meta-analytical evidence for high prospective diagnostic stability in schizophrenia spectrum and affective spectrum psychoses, with no significant ICD/DSM differences. These results may inform the development of new treatment guidelines for early psychosis and impact drug licensing from regulatory agencies.

Project description:OBJECTIVE:To investigate whether cannabis use is associated with increased risk of relapse, as indexed by number of hospital admissions, and whether antipsychotic treatment failure, as indexed by number of unique antipsychotics prescribed, may mediate this effect in a large data set of patients with first episode psychosis (FEP). DESIGN:Observational study with exploratory mediation analysis. SETTING:Anonymised electronic mental health record data from the South London and Maudsley NHS Foundation Trust. PARTICIPANTS:2026 people presenting to early intervention services with FEP. EXPOSURE:Cannabis use at presentation, identified using natural language processing. MAIN OUTCOME MEASURES:admission to psychiatric hospital and clozapine prescription up to 5 years following presentation. MEDIATOR:Number of unique antipsychotics prescribed. RESULTS:Cannabis use was present in 46.3% of the sample at first presentation and was particularly common in patients who were 16-25, male and single. It was associated with increased frequency of hospital admission (incidence rate ratio 1.50, 95% CI 1.25 to 1.80), increased likelihood of compulsory admission (OR 1.55, 1.16 to 2.08) and greater number of days spent in hospital (β coefficient 35.1 days, 12.1 to 58.1). The number of unique antipsychotics prescribed, mediated increased frequency of hospital admission (natural indirect effect 1.09, 95% CI 1.01 to 1.18; total effect 1.50, 1.21 to 1.87), increased likelihood of compulsory admission (natural indirect effect (NIE) 1.27, 1.03 to 1.58; total effect (TE) 1.76, 0.81 to 3.84) and greater number of days spent in hospital (NIE 17.9, 2.4 to 33.4; TE 34.8, 11.6 to 58.1). CONCLUSIONS:Cannabis use in patients with FEP was associated with an increased likelihood of hospital admission. This was linked to the prescription of several different antipsychotic drugs, indicating clinical judgement of antipsychotic treatment failure. Together, this suggests that cannabis use might be associated with worse clinical outcomes in psychosis by contributing towards failure of antipsychotic treatment.

Project description:Background: Far less is known about the reasons for hospitalization or mortality during and after hospitalization among school-aged children than among under-fives in low- and middle-income countries. This study aimed to describe common types of illness causing hospitalisation; inpatient mortality and post-discharge mortality among school-age children at Kilifi County Hospital (KCH), Kenya. Methods: A retrospective cohort study of children 5-12 years old admitted at KCH, 2007 to 2016, and resident within the Kilifi Health Demographic Surveillance System (KHDSS). Children discharged alive were followed up for one year by quarterly census. Outcomes were inpatient and one-year post-discharge mortality. Results: We included 3,907 admissions among 3,196 children with a median age of 7 years 8 months (IQR 74-116 months). Severe anaemia (792, 20%), malaria (749, 19%), sickle cell disease (408, 10%), trauma (408, 10%), and severe pneumonia (340, 8.7%) were the commonest reasons for admission. Comorbidities included 623 (16%) with severe wasting, 386 (10%) with severe stunting, 90 (2.3%) with oedematous malnutrition and 194 (5.0%) with HIV infection. 132 (3.4%) children died during hospitalisation. Inpatient death was associated with signs of disease severity, age, bacteraemia, HIV infection and severe stunting. After discharge, 89/2,997 (3.0%) children died within one year during 2,853 child-years observed (31.2 deaths [95%CI, 25.3-38.4] per 1,000 child-years). 63/89 (71%) of post-discharge deaths occurred within three months and 45% of deaths occurred outside hospital. Post-discharge mortality was positively associated with weak pulse, tachypnoea, severe anaemia, HIV infection and severe wasting and negatively associated with malaria. Conclusions: Reasons for admissions are markedly different from those reported in under-fives. There was significant post-discharge mortality, suggesting hospitalisation is a marker of risk in this population. Our findings inform guideline development to include risk stratification, targeted post-discharge care and facilitate access to healthcare to improve survival in the early months post-discharge in school-aged children.

Project description:AimsEthnic minority groups often have more complex and aversive pathways to mental health care. However, large population-based studies are lacking, particularly regarding involuntary hospitalisation. We sought to examine the risk of involuntary admission among first-generation ethnic minority groups with early psychosis in Ontario, Canada.MethodsUsing health administrative data, we constructed a retrospective cohort (2009-2013) of people with first-onset non-affective psychotic disorder aged 16-35 years. This cohort was linked to immigration data to ascertain migrant status and country of birth. We identified the first involuntary admission within 2 years and compared the risk of involuntary admission for first-generation migrant groups to the general population. To control for the role of migrant status, we restricted the sample to first-generation migrants and examined differences by country of birth, comparing risk of involuntary admission among ethnic minority groups to a European reference. We further explored the role of migrant class by adjusting for immigrant vs refugee status within the migrant cohort. We also explored effect modification of migrant class by ethnic minority group.ResultsWe identified 15 844 incident cases of psychotic disorder, of whom 19% (n = 3049) were first-generation migrants. Risk of involuntary admission was higher than the general population in five of seven ethnic minority groups. African and Caribbean migrants had the highest risk of involuntary admission (African: risk ratio (RR) = 1.52, 95% CI = 1.34-1.73; Caribbean: RR = 1.58, 95% CI = 1.37-1.82), and were the only groups where the elevated risk persisted when compared to the European reference group within the migrant cohort (African: RR = 1.24, 95% CI = 1.04-1.48; Caribbean: RR = 1.29, 95% CI = 1.07-1.56). Refugee status was independently associated with involuntary admission (RR = 1.16, 95% CI = 1.02-1.32); however, this risk varied by ethnic minority group, with Caribbean refugees having an elevated risk of involuntary admission compared with Caribbean immigrants (RR = 1.72, 95% CI = 1.15-2.58).ConclusionsOur findings are consistent with the international literature showing increased rates of involuntary admission among some ethnic minority groups with early psychosis. Interventions aimed at improving pathways to care could be targeted at these groups to reduce disparities.

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Diagnostic shifts during the decade following first admission for psychosis.

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Diagnostic shifts during the decade following first admission for psychosis.

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