Predicting relapse with residual symptoms in schizophrenia: A secondary analysis of the PROACTIVE trial

Systematic review of early warning signs of relapse and behavioural antecedents of symptom worsening in people living with schizophrenia spectrum disorders

BACKGROUND

Identification of the early warning signs (EWS) of relapse is key to relapse prevention in schizophrenia spectrum disorders, however, limitations to their precision have been reported. Substantial methodological innovations have recently been applied to the prediction of psychotic relapse and to individual psychotic symptoms. However, there has been no systematic review that has integrated findings across these two related outcomes and no systematic review of EWS of relapse for a decade.

METHOD

We conducted a systematic review of EWS of psychotic relapse and the behavioural antecedents of worsening psychotic symptoms. Traditional EWS and ecological momentary assessment/intervention studies were included. We completed meta-analyses of the pooled sensitivity and specificity of EWS in predicting relapse, and for the prediction of relapse from individual symptoms.

RESULTS

Seventy two studies were identified including 6903 participants. Sleep, mood, and suspiciousness, emerged as predictors of worsening symptoms. Pooled sensitivity and specificity of EWS in predicting psychotic relapse was 71% and 64% (AUC value = 0.72). There was a large pooled-effect size for the model predicting relapse from individual symptom which did not reach statistical significance (d = 0.81, 95%CIs = -0.01, 1.63).

CONCLUSIONS

Important methodological advancements in the prediction of psychotic relapse in schizophrenia spectrum disorders are evident with improvements in the precision of prediction. Further efforts are required to translate these advances into effective clinical innovations.

Investigation of systemic immune-inflammation index, neutrophil/high-density lipoprotein ratio, lymphocyte/high-density lipoprotein ratio, and monocyte/high-density lipoprotein ratio as indicators of inflammation in patients with schizophrenia and bipolar disorder

BACKGROUND

The systemic immune-inflammation index (SII), system inflammation response index (SIRI), neutrophil/high-density lipoprotein (HDL) ratio (NHR), lymphocyte/HDL ratio (LHR), monocyte/HDL ratio (MHR), and platelet/HDL ratio (PHR) have been recently investigated as new markers for inflammation. The purpose of this research is to use large-scale clinical data to discuss and compare the predictive ability of the SII, SIRI, NHR, LHR, MHR, and PHR in patients with schizophrenia (SCZ) and bipolar disorder (BD), to investigate potential biomarkers.

MATERIALS AND METHODS

In this retrospective, naturalistic, cross-sectional study, we collected the hematological parameter data of 13,329 patients with SCZ, 4,061 patients with BD manic episodes (BD-M), and 1,944 patients with BD depressive episodes (BD-D), and 5,810 healthy subjects served as the healthy control (HC) group. The differences in the SII, SIRI, NHR, LHR, MHR, and PHR were analyzed, and a receiver operating characteristic (ROC) curve was used to analyze the diagnostic potential of these parameters.

RESULTS

Compared with the HC group, the values of the SII, SIRI, NHR, LHR, MHR, and PHR and the levels of neutrophils, monocytes, and triglycerides (TG) were higher in SCZ and BD groups, and levels of platelets, cholesterol (CHO), HDL, low-density lipoprotein (LDL), and apoprotein B (Apo B) were lower in SCZ and BD groups. Compared to the BD group, the values of the SIRI, lymphocytes, monocytes, and HDL were lower and the values of the SII, NHR, PHR, and platelet were higher in the SCZ group. In contrast to the BD-D group, the values of the SII; SIRI; NHR; and MHR; and levels of neutrophils, monocytes, and platelets were higher in the BD-M group, and the levels of CHO, TG, LDL, and Apo B were lower in the BD-M group. The MHR and NHR were predictors for differentiating the SCZ group from the HC group; the SIRI, NHR, and MHR were predictors for differentiating the BD-M group from the HC group; and the MHR was a predictor for differentiating the BD-D group from the HC group. The combination model of the indicators improved diagnostic effectiveness.

CONCLUSION

Our study highlights the role of systemic inflammation in the pathophysiology of SCZ, BD-M, and BD-D, the association between inflammation and lipid metabolism, and these inflammation and lipid metabolism indicators showed different variation patterns in SCZ, BD-D, and BD-M.

Evidence-Based Expert Consensus Regarding Long-Acting Injectable Antipsychotics for Schizophrenia from the Taiwanese Society of Biological Psychiatry and Neuropsychopharmacology (TSBPN)

OBJECTIVE

Schizophrenia is a chronic, debilitating psychiatric disorder with a high risk of relapse. Nonadherence to medication is a significant contributor to poor outcomes. Although long-acting injectable (LAI) antipsychotics prevent the relapse of schizophrenia, several factors present obstacles to the use of LAI antipsychotics, and clinical guidelines for LAI antipsychotics remain limited. To provide clinical recommendations, the Taiwanese Society of Biological Psychiatry and Neuropsychopharmacology (TSBPN) developed consensus statements for the effectiveness, target populations, initiation timing, and particular clinical situations for the use of LAI antipsychotics in patients with schizophrenia.

METHODS

After a systematic literature review, a working group drafted consensus statements for the selected clinical topics and determined the levels of evidence-based recommendation based on the latest World Federation of Societies of Biological Psychiatry grading system. A scientific committee evaluated the draft statements and decided the final recommendations regarding the grades by anonymous voting after incorporating clinical experience and practice into the evidence from research.

RESULTS

The TSBPN proposed ten consensus statements for the application of LAI antipsychotics. The current evidence supported that LAI antipsychotics could be a treatment option for all schizophrenia patients, including first-episode patients. LAI antipsychotics could be initiated both during an acute psychotic episode and when patients are stable. The consensus also gave recommendations for particular clinical situations with insufficient scientific data, such as for use in elderly or adolescent patients, patients with treatment-resistant schizophrenia, and breakthrough psychosis, and strategies to assist patients/caregivers with decision making.

CONCLUSIONS

The consensus statements developed by the TSBPN provide evidence-based clinical recommendations and could give clinicians more confidence when prescribing LAI antipsychotics to treat schizophrenia, thereby improving treatment outcomes.

The effects of adding long-acting injectable antipsychotic drugs to clozapine on relapse and hospitalization in patients with treatment-resistant schizophrenia: a mirror-image retrospective study

The literature assessing the addition of long-acting injectable antipsychotics (LAIs) to clozapine is limited. The aim of this retrospective study was to determine the safety and effectiveness of adding LAIs to clozapine in patients with treatment-resistant schizophrenia (TRS). Patients aged 18-65 years with TRS, who were treated with first-generation (FGA-LAIs) and second-generation (SGA-LAIs) for at least 1 year after clozapine use, were included retrospectively by registration system scanning. Effectiveness measures included relapses and hospitalizations and days of hospitalization. Safety outcomes included levels of neutrophils, fasting blood sugar, total cholesterol, triglycerides, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and prolactin. The data of 29 patients who met the study criteria were evaluated. The numbers and days of hospitalizations and the numbers of relapses significantly decreased after LAI addition. Comparisons of the neutrophil counts and the total cholesterol, triglyceride, HDL, LDL, prolactin, and fasting blood glucose levels as safety indicators of the clozapine and LAI combination revealed no statistically significant change in these values before and after LAI addition. Adding LAIs to clozapine is apparently well tolerated in patients with TRS and may have a positive effect on the course of the disease.

Continuous versus extended antipsychotic dosing in schizophrenia: Less is more

Antipsychotic drugs temper psychotic symptoms by interacting with dopamine D2 receptors to reduce dopamine neurotransmission. Currently, the standard of care involves antipsychotic treatment protocols that achieve steady-state levels of medication. Maintaining patients on continuous treatment is thought to be necessary to keep them stabilised. However, continuous antipsychotic exposure increases the risk of adverse effects over time. These effects include metabolic and cardiovascular disorders, extrapyramidal complications, and dopamine receptor supersensitivity, the latter of which could potentially promote both treatment tolerance and psychosis relapse. In the present review, we describe evidence showing that continuous exposure to antipsychotic drugs can not only worsen long-term outcome, but-past acute phase treatment-it is also unnecessary to effectively manage schizophrenia symptoms. We also describe evidence that regular but extended dosing, allowing predictable periods of lower antipsychotic levels/D2 occupancy, is both safe and effective in patients, and it greatly reduces drug exposure overall. Studies in laboratory animals show that compared to continuous antipsychotic exposure, regular but extended dosing actually has superior antipsychotic-like efficacy, and it also substantially reduces the likelihood of both motor side effects and dopamine receptor supersensitivity. We propose that regular, but extended dosing should be considered in the long-term treatment of people with schizophrenia, because the available evidence suggests it can be just as effective as continuous treatment, while decreasing overall drug exposure and potentially reducing harmful side effects.

Digital Health Around Clinical High Risk and First-Episode Psychosis

PURPOSE OF REVIEW

This review aims to examine relapse definitions and risk factors in psychosis as well as the role of technology in relapse predictions and risk modeling.

RECENT FINDINGS

There is currently no standard definition for relapse. Therefore, there is a need for data models that can account for the variety of factors involved in defining relapse. Smartphones have the ability to capture real-time, moment-to-moment assessment symptomology and behaviors via their variety of sensors and have high potential to be used to create prediction and risk modeling. While there is still a need for further research on how technology can predict and model relapse, there are simple ways to begin incorporating technology for relapse prediction in clinical care.