Dataset Information

Treatment of Major Depressive Disorder in Japanese Patients with Cancer: A Matched Cohort Study Using Employer-Based Health Insurance Claims Data.

ABSTRACT:

Background and objective

Patients with cancer are at high risk of major depressive disorder (MDD), but little is known about their MDD treatment. We investigated the use of antidepressants and other drugs for MDD after cancer diagnosis, and patient characteristics associated with their use.

Methods

Adults with a new cancer diagnosis were matched to cancer-free patients using a Japanese employee health insurance database (JMDC); this exploratory analysis included only cohort patients diagnosed with MDD between 6 months before and 12 months after the cancer diagnosis index month. Initial prescription frequencies of antidepressants and other MDD medications were compared between cancer and cancer-free groups and analyzed according to age, sex, and hospital characteristics.

Results

Compared with the cancer-free group (n = 4097), significantly fewer patients in the cancer group (n = 1199) were prescribed antidepressants {622 (51.9%) [95% CI 49.0-54.7] vs 2385 (58.2%) [95% CI 56.7-59.7]}, particularly selective serotonin reuptake inhibitors. In contrast, prescription of other medications, especially antipsychotics and anxiolytics (tandospirone, hydroxyzine), was more frequent in the cancer group than in the cancer-free group. In the cancer group, women were prescribed antidepressants (mostly selective serotonin reuptake inhibitors) and other medications (mostly benzodiazepines) more than men. Antidepressant prescription decreased with age; patients aged < 40 years had the highest selective serotonin reuptake inhibitor and the lowest conventional antidepressant prescription rate compared with patients aged 40-64 years and ? 65 years. Lower selective serotonin reuptake inhibitor and benzodiazepine prescription rates were seen in large (? 100 beds) hospitals and in hospitals where patients received their cancer diagnosis.

Conclusions

These results suggest Japanese patients with cancer may be undertreated for MDD compared with cancer-free patients. However, when prescribed, medications may be chosen according to patient needs, including avoiding adverse effects and drug-drug interactions.

SUBMITTER: Akechi T

PROVIDER: S-EPMC7701064 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

Treatment of Major Depressive Disorder in Japanese Patients with Cancer: A Matched Cohort Study Using Employer-Based Health Insurance Claims Data.

Akechi Tatsuo T Fujimoto Shinji S Mishiro Izumi I Murase Katsuhito K

Clinical drug investigation 20201018 12

<h4>Background and objective</h4>Patients with cancer are at high risk of major depressive disorder (MDD), but little is known about their MDD treatment. We investigated the use of antidepressants and other drugs for MDD after cancer diagnosis, and patient characteristics associated with their use.<h4>Methods</h4>Adults with a new cancer diagnosis were matched to cancer-free patients using a Japanese employee health insurance database (JMDC); this exploratory analysis included only cohort patien ...[more]

PMID: 33070280

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Project description:Background: Major Depressive Disorder (MDD) is a moderately heritable disorder with a high lifetime prevalence. At present, laboratory blood tests to support MDD diagnosis are not available. Methods: We used a classifier approach on blood gene expression profiles of a unique set of non-medicated subjects (MDD patients and controls) to select genes of which expression is predictive for disease status. To reveal blood gene expression changes related to MDD disease, we applied a powerful ex vivo stimulus to the blood, i.e. incubation with lipopolysaccharide (LPS; 10 ng/ml blood). Results: Based on LPS-stimulated blood gene expression using whole-genome microarrays in 42 subjects (primary cohort; 21 MDD patients (mean age 42.3 years), 21 healthy controls (mean age 41.9 years)), we identified a set of genes (CAPRIN1, CLEC4A, KRT23, MLC1, PLSCR1, PROK2, ZBTB16) that serves as a molecular signature of MDD. These findings were validated for the primary cohort using an independent quantitative PCR method (P = 0.007). The difference between depressive patients and controls was confirmed (P = 0.019) in a replication cohort of 13 patients with MDD (mean age 42.8 years) and 14 controls (mean age 45.6 years). The MDD-signature score comprised of expression levels of 7 genes could discriminate depressive patients from controls with sensitivity of 76.9% and specificity of 71.8%. Conclusions: We show for the first time that molecular analysis of stimulated blood cells can be used as an endophenotype for MDD diagnosis, which is a milestone in establishing biomarkers for neuropsychiatric disorders with moderate heritability in general. Our results may provide a new entry point for following and predicting treatment outcome, as well as prediction of severity and recurrence of MDD. In total, 33 MDD patients and 34 healthy controls were analyzed using basal gene expression in whole blood, and gene expression from whole blood that was stimulated with LPS for 5-6 h, using microarrays. Patients were arbitrarily selected from all patients to serve as primary cohort (nMDD = 21 (MDD01-MDD21); nControls = 21 (Con01-Con21)), or replication cohort (nMDD = 12 (MDD22-MDD35); nControls = 13 (Con22-Con37)) using microarrays. This submission does not include Samples CON21_LPS or CON30_LPS.

Project description:BackgroundAccording to current classification systems, patients with major depressive disorder (MDD) may have very different combinations of symptoms. This symptomatic diversity hinders the progress of research into the causal mechanisms and treatment allocation. Theoretically founded subtypes of depression such as atypical, psychotic, and melancholic depression have limited clinical applicability. Data-driven analyses of symptom dimensions or subtypes of depression are scarce. In this systematic review, we examine the evidence for the existence of data-driven symptomatic subtypes of depression.MethodsWe undertook a systematic literature search of MEDLINE, PsycINFO and Embase in May 2012. We included studies analyzing the depression criteria of the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) of adults with MDD in latent variable analyses.ResultsIn total, 1176 articles were retrieved, of which 20 satisfied the inclusion criteria. These reports described a total of 34 latent variable analyses: 6 confirmatory factor analyses, 6 exploratory factor analyses, 12 principal component analyses, and 10 latent class analyses. The latent class techniques distinguished 2 to 5 classes, which mainly reflected subgroups with different overall severity: 62 of 71 significant differences on symptom level were congruent with a latent class solution reflecting severity. The latent class techniques did not consistently identify specific symptom clusters. Latent factor techniques mostly found a factor explaining the variance in the symptoms depressed mood and interest loss (11 of 13 analyses), often complemented by psychomotor retardation or fatigue (8 of 11 analyses). However, differences in found factors and classes were substantial.ConclusionsThe studies performed to date do not provide conclusive evidence for the existence of depressive symptom dimensions or symptomatic subtypes. The wide diversity of identified factors and classes might result either from the absence of patterns to be found, or from the theoretical and modeling choices preceding analysis.

Dataset Information

Treatment of Major Depressive Disorder in Japanese Patients with Cancer: A Matched Cohort Study Using Employer-Based Health Insurance Claims Data.

Background and objective

Methods

Results

Conclusions

Publications

Treatment of Major Depressive Disorder in Japanese Patients with Cancer: A Matched Cohort Study Using Employer-Based Health Insurance Claims Data.

Similar Datasets

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