Correlation between changes in quality of life and symptomatic improvement in Chinese patients switched from typical antipsychotics to olanzapine

Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study

BACKGROUND

Rapid digitalization in health care has led to the adoption of digital technologies; however, limited trust in internet-based health decisions and the need for technical personnel hinder the use of smartphones and machine learning applications. To address this, automated machine learning (AutoML) is a promising tool that can empower health care professionals to enhance the effectiveness of mobile health apps.

OBJECTIVE

We used AutoML to analyze data from clinical studies involving patients with chronic hand and/or foot eczema or psoriasis vulgaris who used a smartphone monitoring app. The analysis focused on itching, pain, Dermatology Life Quality Index (DLQI) development, and app use.

METHODS

After extensive data set preparation, which consisted of combining 3 primary data sets by extracting common features and by computing new features, a new pseudonymized secondary data set with a total of 368 patients was created. Next, multiple machine learning classification models were built during AutoML processing, with the most accurate models ultimately selected for further data set analysis.

RESULTS

Itching development for 6 months was accurately modeled using the light gradient boosted trees classifier model (log loss: 0.9302 for validation, 1.0193 for cross-validation, and 0.9167 for holdout). Pain development for 6 months was assessed using the random forest classifier model (log loss: 1.1799 for validation, 1.1561 for cross-validation, and 1.0976 for holdout). Then, the random forest classifier model (log loss: 1.3670 for validation, 1.4354 for cross-validation, and 1.3974 for holdout) was used again to estimate the DLQI development for 6 months. Finally, app use was analyzed using an elastic net blender model (area under the curve: 0.6567 for validation, 0.6207 for cross-validation, and 0.7232 for holdout). Influential feature correlations were identified, including BMI, age, disease activity, DLQI, and Hospital Anxiety and Depression Scale-Anxiety scores at follow-up. App use increased with BMI >35, was less common in patients aged >47 years and those aged 23 to 31 years, and was more common in those with higher disease activity. A Hospital Anxiety and Depression Scale-Anxiety score >8 had a slightly positive effect on app use.

CONCLUSIONS

This study provides valuable insights into the relationship between data characteristics and targeted outcomes in patients with chronic eczema or psoriasis, highlighting the potential of smartphone and AutoML techniques in improving chronic disease management and patient care.

A Systematic Review on the Effectiveness of Antipsychotic Drugs on the Quality of Life of Patients with Schizophrenia

Pharmacological antipsychotic drug interventions represent the cornerstone of the management of patients with schizophrenia and other psychotic spectrum disorders. The choice of the "best" treatment should be made on the basis of several clinical domains. However, despite available treatments, the quality of life reported by patients with schizophrenia taking antipsychotics is still very poor, and this outcome is rarely taken into account in trials assessing the efficacy and effectiveness of antipsychotic treatments. Therefore, we performed a systematic review in order to assess the impact of antipsychotic treatment on patients' quality of life. In particular, we aimed to identify any differences in the improvement in quality of life according to the (a) type of formulation of antipsychotic drugs (i.e., oral vs. depot vs. long-acting injectable); (b) type of the drug (first vs. second vs. third generation); and (c) patients' clinical characteristics. One hundred and eleven papers were included in the review. The main findings were as follows: (1) quality of life is usually considered a secondary outcome in trials on the efficacy and effectiveness of drugs; (2) second-generation antipsychotics have a more positive effect on quality of life; and (3) long-acting injectable antipsychotics are associated with a more stable improvement in quality of life and with a good safety and tolerability profile. Our systematic review confirms that quality of life represents a central element for selecting the appropriate treatment for people with schizophrenia. In particular, the availability of new treatments with a better tolerability profile, a proven effectiveness on patients' cognitive and social functioning, and with a more stable blood concentration might represent the appropriate strategy for improving the quality of life of people with schizophrenia.

Clinical effectiveness and speed of response of electroconvulsive therapy in treatment-resistant schizophrenia

AIM

Although electroconvulsive therapy (ECT) has been shown to be efficacious for patients with treatment-resistant schizophrenia, there has been limited evidence on the rate of response, cognition, and quality-of-life outcomes. The primary aims of the present study were thus to examine the effectiveness and speed of response to ECT in a naturalistic retrospective cohort in patients with treatment-resistant schizophrenia.

METHODS

We performed a retrospective database analysis. The primary effectiveness outcome was defined as an improvement of ≥40% from pretreatment scores based on the Brief Psychiatric Rating Scale (BPRS) Psychotic Symptom subscale. Data were included for analysis for all patients with a primary DSM-5 diagnosis of schizophrenia that was treatment-resistant and who had had an acute course of ECT initiated for the treatment of schizophrenia between 1 July 2016 and 1 December 2016.

RESULTS

A total of 50 inpatients were included for analysis. The present study revealed that 50% of patients showed at least a 40% reduction in BPRS Psychotic Symptom subscale scores after completion of ECT and that 16.7% of patients responded after the first three sessions, 39.3% after six sessions, 46.4% after nine sessions, and 50% after 12 sessions. The greatest improvement in BPRS scores was between the third and sixth ECT sessions. BPRS scores, Clinical Global Impression, Montreal Cognitive Assessment, and Global Assessment of Functioning showed significant improvement. There was no significant difference in quality-of-life outcomes.

CONCLUSION

Utilizing modern techniques in treatment-resistant schizophrenia, this study demonstrates the real-world effectiveness and rate of response of patients receiving ECT.

Patient and Clinician Assessments of Symptomatology Changes on Older Adults Following a Psycho-educational Program for Depression and Anxiety

Important attention has been given to the assessment of patients' perspectives on treatment, especially as outcomes have been typically evaluated by clinicians. This study examined the association between patient and clinician ratings on perceived improvement and symptomatology changes for an older adult population participating in an ongoing psycho-educational program. Pre-post measures including depression (GDS), anxiety (BAI) and general well-being (GWBS) were collected in a sample of 34 older adults (age = 71.32 ± 6.46 years). Post-testing data included perceived improvement rated by patients, and clinician assessment of depressive symptoms (CS-GDS). Results indicate significant correlations between pre-post changes of the GDS and patients' PIQ (r = -0.37, n = 31, p < 0.05), but not on symptomatic changes of the BAI (r = 0.012, n = 32, p > 0.05) or the GWBS (r = 0.12, n = 31, p > 0.05). Relationships between patients' PIQ and post-ratings on GDS (r = -0.74, n = 33, p < 0.05) and CS-GDS (r = -0.48, n = 32, p < 0.05) are also significant. Results imply that pre-post improvement in depressive symptoms is associated with a patient's perceived improvement and that clinician and patient ratings on depression symptoms post-treatment were both inversely correlated to patients' perceived improvement. Findings suggest that the PIQ is a good indicator to assess symptomatic change by patients and clinicians although they are possibly placing attention on different aspects of treatment outcome, as indicated by differences on sub-scales of the PIQ. Clinicians possibly place a strong focus on assessments of depression symptomatology. Future studies may integrate simultaneous assessments of instruments exploring aspects other than depression, especially those examining representations of illness in older adults.

Long-term health-related quality of life improvements among patients treated with lurasidone: results from the open-label extension of a switch trial in schizophrenia

BACKGROUND

Long-term improvement of health-related quality of life (HRQoL) in schizophrenia may improve adherence and reduce relapse and rehospitalization. This analysis examines long-term changes in HRQoL among patients with schizophrenia switched to lurasidone from other antipsychotics.

METHODS

Patients who completed an open-label 6-week switch study continued on lurasidone for an additional 24-weeks. HRQoL was measured using the self-reported Personal Evaluation of Transitions in Treatment (PETiT) scale and Short-Form 12 (SF-12) questionnaire. The PETiT assessed HRQoL via total and domain scores (adherence-related attitude and psychosocial functioning). The SF-12 assessed patients' mental and physical component summary scores (MCS and PCS). Mean changes from the initial baseline were calculated at extension baseline and extension endpoint using analysis of covariance models. Analyses were further stratified by prior antipsychotic medication and responder status; responders were defined as having a ≥20 % improvement in Positive and Negative Syndrome Scale during the first 6-weeks of treatment.

RESULTS

The analysis included 144 patients with PETIT or SF-12 data who received ≥1 dose of lurasidone. Mean (standard deviation) PETiT total score improved significantly from 34.9 (9.3) at baseline to 39.5 (8.9) at extension baseline and 39.1 (9.0) at extension endpoint, representing improvements of 4.5 (7.9) and 5.1 (7.2) points, respectively (both p < 0.001). Significant improvements in adherence-related attitude and psychosocial functioning were observed at extension baseline and extension endpoint (all p < 0.001). Improvement in SF-12 MCS score was observed at extension baseline and endpoint, and PCS score at extension endpoint (all p < 0.01). Patients who switched from quetiapine and aripiprazole showed significant improvement of PETiT total score and adherence-related attitude at extension baseline and extension endpoint. In addition, patients who switched from quetiapine, risperidone, aripiprazole, or ziprasidone showed significant improvement in MCS scores from baseline to extension endpoint. Responders to lurasidone demonstrated greater improvement in PETiT total, psychosocial functioning, and MCS scores at extension baseline than nonresponders.

CONCLUSIONS

After switching to lurasidone, patients with schizophrenia experienced HRQoL improvements that were sustained for an additional 24 weeks of treatment. Further study is warranted to understand the implications of these improvements in terms of employment, adherence, relapse, and rehospitalization.

TRIAL REGISTRATION

Clinical trials.gov identifier NCT01143090 (June 10th, 2010).