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.

Association Between Enterovirus Infection and Asthma in Children: A 16-year Nationwide Population-based Cohort Study.

BACKGROUND: Both virus-induced asthma and enterovirus (EV) infection are common in children; however, the relationship between EV infection and virus-induced asthma has not been systematically investigated in a cohort study. This nationwide population-based cohort study investigated the association between EV infection and asthma. METHODS: We used data from the Taiwan National Health Insurance Research Database. The study sample consisted of insured children who were younger than 18 years and had EV infection between 1997 and 2013 and were followed until December 2013. We identified 36,935 children with EV infection and compared them based on 36,935 age-, sex-, urbanization- and income-matched controls to analyze the risk of subsequent asthma. Cox regression analyses were performed and adjusted for sex, age, urbanization, income, preterm labor and small for gestational age, perinatal complications, allergic rhinitis, allergic conjunctivitis, atopic dermatitis and bronchiolitis. RESULTS: The mean follow-up interval for all patients was 8.59 years (standard deviation = 4.35 years). The mean latency period between initial EV infection and onset of asthma was 2.77 years (standard deviation = 2.43 years). EV infection was significantly associated with a higher incidence of asthma (hazard ratio = 1.65; 95% confidence interval: 1.60-1.71). CONCLUSIONS: A significant association was observed between EV infection and asthma in children. Health providers should be aware of the higher potential for children with EV to develop asthma in the future.

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.

Prevalence and factors associated with depressive symptoms in mothers with infants or toddlers.

BACKGROUND: The objective of this study is to explore the prevalence of and factors associated with depressive symptoms in mothers with young children. METHODS: This is a cross-sectional face-to-face study performed between January 1, 2010 and June 30, 2011. Mothers of premature infants with a gestational age of less than 37 weeks were recruited. Premature infants with any congenital anomaly or severe congenital heart disease were excluded. Controls were mothers of full-term infants with birth weight over 2500 g and without admission to a neonatal intensive care unit. Outcome measures included the Center for Epidemiologic Studies Depression Scale for maternal depressive symptoms, the Family Apgar Index for family support, and the Chinese Maudsley Personality Inventory for personality traits. RESULTS: A total of 102 mothers of preterm infants and 111 mothers of full-term infants were recruited. The prevalence of depressive symptoms was 27.7% (59/213) in all mothers of this study, 29.4% (30/102) in mothers of preterm infants, and 26.1% (29/111) in mothers of full-term infants. Predictors of maternal depressive symptoms included the following: extended family structure, lack of postpartum confinement, low family support, and a personality characterized by neuroticism. CONCLUSION: Depressive symptoms were common among mothers of young children. Family function and neurotic personality were highly correlated with depressive symptoms in mothers caring for young children. Pediatric health care providers are suggested to screen for maternal depressive symptoms and provide family-oriented support in Taiwan.