Investigation of anxiety and depressive disorders and psychiatric medication use before and after cancer diagnosis.

OBJECTIVE: Data regarding the prevalence of depression and anxiety among cancer patients, especially before cancer diagnosis, remains scarce. This study investigated the prevalence of these conditions and associated drug use among cancer patients pre- and post-diagnosis. METHODS: This population-based cohort study using data from Taiwan's National Health Insurance Research Database recruited patients with a registered cancer diagnosis and matched control between January 1, 2000, and December 31, 2011. We compared the prevalence of anxiety and depressive disorders between cancer patients and non-cancer participants during a 2-year period both pre- and post-diagnosis by Pearson's chi-square test. Psychiatric medication use was also examined for the associated mental condition. RESULTS: We examined participants diagnosed with liver (N = 17,154), colorectal (N = 30,391), breast (N = 40,036), gynecological (N = 23,218), and lung (N = 15,671) cancer. Before the cancer diagnosis, the prevalence of depression was higher in non-cancer participants than in gynecological cancer patients (p = 0.018) but anxiety is higher in liver, colorectal, and lung cancer patients when compared to non-cancer participants (p < 0.05). After the cancer diagnosis, the prevalence of anxiety and depression became significantly higher in all enrolled cancer patients than non-cancer participants (p < 0.05). Similar results were observed in psychiatric medication use trends. CONCLUSIONS: This study proposed that patients with liver, colorectal, and lung cancer had an increased risk of developing anxiety, which might be a sentinel diagnosis. The participants had a significantly higher level of anxiety and depressive disorder post-diagnosis, which highlights the importance of the care for both mental and physical conditions in cancer management.

Circulating cytokines as predictors of depression in patients with breast cancer.

Depression is a common comorbid disorder associated with breast cancer, and it can have considerable physical and psychological impacts. Circulating cytokines have been proposed as a potential tool to predict depression in various diseases; however, limited studies have specifically examined it in breast cancer. In this study, we examined and compared the prediction ability of various circulating cytokines for depression in patients with breast cancer. Eighty-three patients with a new diagnosis of breast cancer not receiving chemotherapy were recruited; among them, 15 patients had depression and 68 did not have depression. Depression was evaluated using the Patient Health Questionnaire 9 (PHQ-9). Cytokine levels in the serum were measured using an immunology multiplex assay. Two types of cytokines were assayed: (1) proinflammatory cytokines (interleukin [IL]-1ß, IL-2, IL-6, IL-12, IL-17A, interferon [IFN]γ, and tumor necrosis factor [TNF]α) and (2) anti-inflammatory cytokines (IL-4, IL-5, IL-10, and IL-13). Receiver operating characteristic (ROC) analysis was performed to calculate the area under the curves (AUCs), sensitivities, and specificities of circulating cytokines for predicting depression. As a result, IL-2 (AUC = 0.78) and IL-5 (AUC = 0.76) demonstrated good predictability for depression, even after controlling for the covariates (i.e. age, education, stage of cancer, surgery, radiation therapy, and hormone therapy). The optimal cut-off value of IL-2 for predicting depression was 1.06 pg/mL with a sensitivity of 86.7% and a specificity of 52.9%; this cytokine also had the best prediction ability in this study. Owing to the prediction ability and practical feasibility of circulating cytokines, they may be used as a valid laboratory diagnostic tool for depression in breast cancer.

Factors affecting lumbar surgery outcome: A nation-wide, population-based retrospective study.

BACKGROUND: Lower back pain is a very common symptom and treatment strategies vary according the severity and duration of illness. Surgical approaches are becoming increasingly popular with the advent of new and less invasive technologies; however, treatment outcomes are not yet well established on a population-based level. Taiwan's National Health Insurance Research Database (NHIRD) is longitudinal and includes 98% of the population since its inception in 1995. The database includes the ICD 9.0 codes (International Classification of Diseases) of all patients with lower back pain and lumbar surgery; furthermore, all the prescriptions. METHODS: As part of a population-based cohort study of one million participants randomly selected from the NHIRD, we analyzed changes in prescription of analgesics 1 year before and 1 year after lumbar surgery; comorbidities, such as diabetes, asthma, osteoporosis, arthritis, depression and anxiety were also analyzed as covariates. A total of 3916 cases were enrolled in final analysis. RESULTS: Post-operatively, the defined daily dosage (DDD) of analgesics decreased from a median DDD of 50.0 to a median of 14.2. In a multivariate model analysis, female, older age, anxiety and asthma were the significant factors for unfavorable outcome (defined by dosage of analgesics decreased less than 50% after surgery). CONCLUSIONS: The analgesics significantly decreased for patients received lumbar surgeries, implying the decreased of pain. In addition, co-morbidity factors were identified by the failure for analgesics reduction, such as female, older age, anxiety and asthma. For patients with lower back pain, these factors should be considered before receiving lumbar surgeries.

Bipolar disorder and the risk of fracture: A nationwide population-based cohort study.

BACKGROUND: The co-primary aims are: 1) to compare the risk of fracture between adults with bipolar disorder and those without bipolar disorder; and 2) to assess whether lithium, anticonvulsants and antipsychotics reduce risk of fracture among individuals with bipolar disorder. METHODS: The analysis herein is a population-based retrospective cohort study, utilizing the National Health Insurance (NHI) medical claims data collected between 1997 and 2013 in Taiwan. We identified 3705 cases with incident diagnoses of bipolar disorder during study period and 37,050 matched controls without bipolar diagnoses. Incident diagnosis of fracture was operationalized as any bone fracture after the diagnosis of bipolar disorder or after the matched index date for controls. RESULTS: Bipolar patients had significantly higher risk of facture when compared to matched controls (17.6% versus 11.7%, respectively p<0.001). The hazard ratio (HR) was 1.33 (95% confidence interval [CI]＝1.23-1.48, p<0.001) after adjusting for covariates. Persons with bipolar disorder and a prior history of psychiatric hospitalization were had higher risk for bone fracture than those without prior history of psychiatric hospitalization when compared to match controls. Higher cumulative dose of antipsychotics or mood stabilizers did not increase the risk of fracture. LIMITATIONS: The diagnoses of bipolar disorder were not confirmed with structured clinical interview. Drug adherence, exact exposure dosage, smoking, lifestyle, nutrition and exercise habits were unable to be assessed in our dataset. CONCLUSIONS: Bipolar disorder is associated with increased risk of fracture, and higher cumulative dose of mood stabilizers and antipsychotics did not further increase the risk of fracture.