The Inter-Relationships Between Depressive Symptoms and Suicidality Among Macau Residents After the "Relatively Static Management" COVID-19 Strategy: A Perspective of Network Analysis.

Background: Suicidality is a global public health problem which has increased considerably during the coronavirus disease 2019 (COVID-19) pandemic. This study examined the inter-relationships between depressive symptoms and suicidality using network analysis among Macau residents after the "relatively static management" COVID-19 strategy. Methods: An assessment of suicidal ideation (SI), suicide plan (SP), suicide attempt (SA) and depressive symptoms was conducted with the use of individual binary response items (yes/no) and Patient Health Questionnaire (PHQ-9). In the network analysis, central and bridge symptoms were identified in the network through "Expected Influence" and "Bridge Expected Influence", and specific symptoms that were directly associated with suicidality were identified via the flow function. Network Comparison Tests (NCT) were conducted to examine the gender differences in network characteristics. Results: The study sample included a total of 1008 Macau residents. The prevalence of depressive symptoms and suicidality were 62.50% (95% CI = 59.4-65.5%) and 8.9% (95% CI = 7.2-10.9%), respectively. A network analysis of the sample identified SI ("Suicidal ideation") as the most central symptom, followed by SP ("Suicide plan") and PHQ4 ("Fatigue"). SI ("Suicidal ideation") and PHQ6 ("Guilt") were bridge nodes connecting depressive symptoms and suicidality. A flow network revealed that the strongest connection was between S ("Suicidality") and PHQ6 ("Guilt"), followed by S ("Suicidality") and PHQ 7 ("Concentration"), and S ("Suicidality") and PHQ3 ("Sleep"). Conclusion: The findings indicated that reduction of specific depressive symptoms and suicidal thoughts may be relevant in decreasing suicidality among adults. Further, suicide assessment and prevention measures should address the central and bridge symptoms identified in this study.

Depression and anxiety among Macau residents during the COVID-19 outbreak: A network analysis perspective.

Background: The 2019 novel coronavirus disease (COVID-19) outbreak affected people's lifestyles and increased their risk for depressive and anxiety symptoms (depression and anxiety, respectively hereafter). We assessed depression and anxiety in residents of Macau during "the 6.18 COVID-19 outbreak" period and explored inter-connections of different symptoms from the perspective of network analysis. Methods: In this cross-sectional study, 1,008 Macau residents completed an online survey comprising the nine-item Patient Health Questionnaire (PHQ-9) and seven-item Generalized Anxiety Disorder Scale (GAD-7) to measure depression and anxiety, respectively. Central and bridge symptoms of the depression-anxiety network model were evaluated based on Expected Influence (EI) statistics, while a bootstrap procedure was used to test the stability and accuracy of the network model. Results: Descriptive analyses indicated the prevalence of depression was 62.5% [95% confidence interval (CI) = 59.47-65.44%], the prevalence of anxiety was 50.2% [95%CI = 47.12-53.28%], and 45.1% [95%CI = 42.09-48.22%] of participants experienced comorbid depression and anxiety. "Nervousness-Uncontrollable worry" (GADC) (EI = 1.15), "Irritability" (GAD6) (EI = 1.03), and "Excessive worry" (GAD3) (EI = 1.02) were the most central symptoms, while "Irritability" (GAD6) (bridge EI = 0.43), "restlessness" (GAD5) (bridge EI = 0.35), and "Sad Mood" (PHQ2) (bridge EI = 0.30) were key bridge symptoms that emerged in the network model. Conclusion: Nearly half of residents in Macau experienced comorbid depression and anxiety during the 6.18 COVID-19 outbreak. Central and bridge symptoms identified in this network analysis are plausible, specific targets for treatment and prevention of comorbid depression and anxiety related to this outbreak.

Depression and quality of life among Macau residents in the 2022 COVID-19 pandemic wave from the perspective of network analysis.

Background: In the summer of 2022, Macau experienced a surge of COVID-19 infections (the 618 COVID-19 wave), which had serious effects on mental health and quality of life (QoL). However, there is scant research on mental health problems and QoL among Macau residents during the 618 COVID-19 wave. This study examined the network structure of depressive symptoms (hereafter depression), and the interconnection between different depressive symptoms and QoL among Macau residents during this period. Method: A cross-sectional study was conducted between 26th July and 9th September 2022. Depressive symptoms were measured with the 9-item Patient Health Questionnaire (PHQ-9), while the global QoL was measured with the two items of the World Health Organization Quality of Life-brief version (WHOQOL-BREF). Correlates of depression were explored using univariate and multivariate analyses. The association between depression and QoL was investigated using analysis of covariance (ANCOVA). Network analysis was used to evaluate the structure of depression. The centrality index "Expected Influence" (EI) was used to identify the most central symptoms and the flow function was used to identify depressive symptoms that had a direct bearing on QoL. Results: A total 1,008 participants were included in this study. The overall prevalence of depression was 62.5% (n = 630; 95% CI = 60.00-65.00%). Having depression was significantly associated with younger age (OR = 0.970; p < 0.001), anxiety (OR = 1.515; p < 0.001), fatigue (OR = 1.338; p < 0.001), and economic loss (OR = 1.933; p = 0.026). Participants with depression had lower QoL F (1, 1,008) =5.538, p = 0.019). The most central symptoms included PHQ2 ("Sad Mood") (EI: 1.044), PHQ4 ("Fatigue") (EI: 1.016), and PHQ6 ("Guilt") (EI: 0.975) in the depression network model, while PHQ4 ("Fatigue"), PHQ9 ("Suicide"), and PHQ6 ("Guilt") had strong negative associations with QoL. Conclusion: Depression was common among Macao residents during the 618 COVID-19 wave. Given the negative impact of depression on QoL, interventions targeting central symptoms identified in the network model (e.g., cognitive behavioral therapy) should be developed and implemented for Macau residents with depression.

Prevalence of insomnia and its association with quality of life among Macau residents shortly after the summer 2022 COVID-19 outbreak: A network analysis perspective.

Background: The latest wave of the coronavirus disease 2019 (COVID-19) pandemic in Macau began on 18 June 2022 and was more serious than previous waves. Ensuing disruption from the wave is likely to have had a variety of negative mental health consequences for Macau residents including increased risk for insomnia. This study investigated the prevalence and correlates of insomnia among Macau residents during this wave as well as its association with quality of life (QoL) from a network analysis perspective. Methods: A cross-sectional study was conducted between 26 July and 9 September 2022. Univariate and multivariate analyses explored correlates of insomnia. Analysis of covariance (ANCOVA) examined the relationship between insomnia and QoL. Network analysis assessed the structure of insomnia including "Expected influence" to identify central symptoms in the network, and the flow function to identify specific symptoms that were directly associated with QoL. Network stability was examined using a case-dropping bootstrap procedure. Results: A total of 1,008 Macau residents were included in this study. The overall prevalence of insomnia was 49.0% (n = 494; 95% CI = 45.9-52.1%). A binary logistic regression analysis indicated people with insomnia were more likely to report depression (OR = 1.237; P < 0.001) and anxiety symptoms (OR = 1.119; P < 0.001), as well as being quarantined during the COVID-19 pandemic (OR = 1.172; P = 0.034). An ANCOVA found people with insomnia had lower QoL (F(1,1,008) = 17.45, P < 0.001). "Sleep maintenance" (ISI2), "Distress caused by the sleep difficulties" (ISI7) and "Interference with daytime functioning" (ISI5) were the most central symptoms in the insomnia network model, while "Sleep dissatisfaction" (ISI4), "Interference with daytime functioning" (ISI5), and "Distress caused by the sleep difficulties" (ISI7) had the strongest negative associations with QoL. Conclusion: The high prevalence of insomnia among Macau residents during the COVID-19 pandemic warrants attention. Being quarantined during the pandemic and having psychiatric problems were correlates of insomnia. Future research should target central symptoms and symptoms linked to QoL observed in our network models to improve insomnia and QoL.

Inter-relationships of depressive and anxiety symptoms with suicidality among adolescents: A network perspective.

BACKGROUND: Persons with suicidality including suicidal ideation (SI), suicide plans (SP) and/or suicide attempts (SA) are at higher risk for future suicide than those without suicidality. To reduce the risk of future suicide, it is important to understand symptoms of emotional distress that have the strongest links with SI, SP and SA. This network analysis examined item-level relations of depressive and anxiety symptoms with suicidality among adolescents during the COVID-19 pandemic. METHODS: Adolescents between 12 and 20 years of age were assessed with the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), and individual binary reponse (no/yes) items assessing SI, SP, and SA during the pandemic. The structure of depressive symptoms, anxiety symptoms and suicidality was characterized using "Expected Influence" and "Bridge Expected Influence" as centrality indices in the symptom network. Network stability was tested using a case-dropping bootstrap procedure. Node-specific predictive betweenness was computed to examine short paths of anhedonia, other depressive symptoms and anxiety symptoms with suicidality. A Network Comparison Test (NCT) was conducted to examine whether network characteristics differed based on gender. RESULTS: Prevalence rates of depressive symptoms, anxiety symptoms, and suicidality were 44.60 % (95% confidence interval (CI) = 41.53-47.67 %), 31.12 % (95%CI = 28.26-33.98 %), and 16.95 % (95%CI = 14.63-19.26 %), respectively, in the study sample. The network analysis identified GAD3 ("Worry too much") as the most central symptom, followed by GAD6 ("Irritability") and PHQ6 ("Guilt") in the sample. Additionally, PHQ6 ("Guilt"), GAD6 ("Irritability"), and PHQ2 ("Sad mood") were bridge nodes linking depressive and anxiety symptoms with suicidality. A flow network indicated that the connection between S ("Suicidality") and PHQ6 ("Guilt") reflected the strongest connection, followed by connections of S ("Suicidality") with GAD2 ("Uncontrollable worrying"), and S ("Suicidality") with PHQ2 ("Sad mood"). Finally, PHQ2 ("Sad mood") was the main bridge node linking anhedonia with other depressive and anxiety symptoms and suicidality in the sample. CONCLUSIONS: Findings highlight the potential importance of reducing specific depressive and anxiety symptoms as possible means of reducing suicidality among adolescents during the pandemic. Central symptoms and key bridge symptoms identified in this study should be targeted in suicide prevention for at-risk adolescents.

The backbone symptoms of depression: a network analysis after the initial wave of the COVID-19 pandemic in Macao.

Background: The coronavirus disease 2019 (COVID-19) pandemic disrupted the working lives of Macau residents, possibly leading to mental health issues such as depression. The pandemic served as the context for this investigation of the network structure of depressive symptoms in a community sample. This study aimed to identify the backbone symptoms of depression and to propose an intervention target. Methods: This study recruited a convenience sample of 975 Macao residents between 20th August and 9th November 2020. In an electronic survey, depressive symptoms were assessed with the Patient Health Questionnaire-9 (PHQ-9). Symptom relationships and centrality indices were identified using directed and undirected network estimation methods. The undirected network was constructed using the extended Bayesian information criterion (EBIC) model, and the directed network was constructed using the Triangulated Maximally Filtered Graph (TMFG) method. The stability of the centrality indices was evaluated by a case-dropping bootstrap procedure. Wilcoxon signed rank tests of the centrality indices were used to assess whether the network structure was invariant between age and gender groups. Results: Loss of energy, psychomotor problems, and guilt feelings were the symptoms with the highest centrality indices, indicating that these three symptoms were backbone symptoms of depression. The directed graph showed that loss of energy had the highest number of outward projections to other symptoms. The network structure remained stable after randomly dropping 50% of the study sample, and the network structure was invariant by age and gender groups. Conclusion: Loss of energy, psychomotor problems and guilt feelings constituted the three backbone symptoms during the pandemic. Based on centrality and relative influence, loss of energy could be targeted by increasing opportunities for physical activity.

Network analysis of depression, anxiety, insomnia and quality of life among Macau residents during the COVID-19 pandemic.

BACKGROUND: Although the Coronavirus Disease 2019 (COVID-19) has greatly impacted individuals' mental health and quality of life, network analysis studies of associations between symptoms of common syndromes during the pandemic are lacking, particularly among Macau residents. This study investigated the network structure of insomnia, anxiety, and depression and explored their associations with quality of life in this population. METHOD: This online survey was conducted in Macau between August 18 and November 9, 2020. Insomnia, anxiety, depressive symptoms, and quality of life were assessed with the Insomnia Severity Index, Generalized Anxiety Disorder Scale, Patient Health Questionnaire, and World Health Organization Quality of Life-brief version, respectively. Analyses were performed to identify central symptoms and bridge symptoms of this network and their links to quality of life. RESULTS: 975 participants enrolled in this survey. The prevalence of depressive, anxiety and insomnia symptoms were 38.5% (95% confidence interval (CI): 35.5%-41.5%), 28.8% (95%CI: 26.0%-31.7%), and 27.6% (95% CI: 24.8%-30.4%), respectively. "Sleep maintenance" had the highest expected influence centrality, followed by "Trouble relaxing", "Interference with daytime functioning", "Irritability", and "Fatigue". Five bridge symptoms were identified: "Sleep problems", "Restlessness", "Irritability", "Severity of sleep onset", and "Motor activity". The insomnia symptom, "Sleep dissatisfaction", had the strongest direct relation to quality of life. CONCLUSION: Insomnia symptoms played a critical role in the distress symptom network regarding node and bridge centrality as well as associations with quality of life among Macau residents. Close attention to these symptoms may be critical to reducing risk and preventing exacerbations in common forms of distress in this population.

Identification of central symptoms in Internet addictions and depression among adolescents in Macau: A network analysis.

BACKGROUND: Internet addiction (IA) and depression are common among adolescents and often are co-occurring. This study examined the network structures of IA and depressive symptoms (depression hereafter) in adolescents. METHODS: A total of 1,009 adolescents were recruited. IA and depression were measured using the Internet Addiction Test (IAT) and the 9 items-Patient Health Questionnaire (PHQ-9), respectively. A network analysis was conducted to identify central symptoms and bridge symptoms using centrality indices. Network stability was evaluated using the case-dropping procedure. The Network Comparison Test (NCT) was conducted to examine whether network characteristics differed by gender. RESULTS: Network analysis revealed that nodes IAT-15 ("Preoccupation with the Internet"), IAT-2 ("Neglect chores to spend more time online"), PHQ-6 ("Guilty"), and IAT-16 ("Request an extension for longer time spent online") were the most central symptoms within the model of coexisting IA and depression. The most important bridge symptom was node IAT-11 ("Anticipation for future online activities"), followed by IAT-12 ("Fear that life is boring and empty without the Internet") and IAT-19 ("Spend more time online over going out with others"). Gender did not significantly influence the network structure. The IA and depression network model showed a high degree of stability. CONCLUSION: The central symptoms along with key bridge symptoms identified could be potentially targeted when treating and preventing IA and depression among adolescents.

Prevalence and clinical correlates of insomnia symptoms and their association with quality of life in Chinese patients with HBV-related liver disease.

OBJECTIVE: This study aimed to describe the one-month prevalence of insomnia symptoms (insomnia hereafter) and the demographic and clinical correlates, and its association with quality of life (QOL) in Chinese patients with HBV-related liver disease. METHOD: A total of 689 patients with HBV-related liver disease in Beijing, China formed the study sample. Three forms of insomnia including difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS) and early morning awakening (EMA) were assessed using standardized questions. QOL was measured using the Medical Outcomes Study Short Form 12 (SF-12). RESULTS: The one-month prevalence of at least one type of insomnia was 69.5%, while DIS, DMS and EMA were 60.4%, 54.7% and 50.9%, respectively. Only 4.8% of patients suffering from insomnia received treatment. Multiple logistic regression analyses revealed that pre-existing medical conditions were positively associated with DIS and EMA; patients with more severe depressive symptoms were more likely to have DIS, DMS and EMA; local residents were less likely to have DIS; and those who were married and older were more likely to have DMS. Insomnia was not independently associated with QOL. CONCLUSIONS: Insomnia is common in Chinese patients with HBV-related liver disease with a very low rate of treatment. Greater attention should be given to identify and treat insomnia in this patient population.

Short versions of the 32-item Hypomania Checklist: A systematic review.

PURPOSE: Bipolar disorder (BD) is frequently misdiagnosed, which can lead to negative outcomes. The 32-item Hypomania Checklist (HCL-32) is one of the most widely used self-reported screening instruments for hypomanic symptoms, which has several short versions. This systematic review examined the psychometric properties of HCL-32 short versions. DESIGN AND METHODS: Five international databases were systematically and independently searched by two researchers for studies that developed the HCL short versions. Basic demographic and clinical characteristics and the psychometric properties of the HCL short versions were recorded. FINDINGS: Eighteen studies were identified. The majority of the HCL short versions showed satisfactory to good psychometric properties. PRACTICE IMPLICATIONS: Validated HCL short versions with satisfactory psychometric properties may be helpful in screening for BD.

Comparison of Sleep Disturbances Between Older Nursing Home Residents in High- and Low-Altitude Areas.

BACKGROUND AND OBJECTIVE: This study compared sleep disturbances between older adults living in nursing home located in high- and low-altitude areas and explored the association between sleep disturbances and quality of life (QoL). METHOD: In total, 207 participants living in a high-altitude area and 437 participants in a low-altitude area were included. Sleep disturbances (ie, difficulty in initiating sleep, difficulty in maintaining sleep, and early morning awakening) were measured using standardized questions. The independent demographic and clinical correlates of sleep disturbances in high-altitude area were examined using multiple logistic regression analyses. Each type of sleep disturbance was entered as the dependent variable separately, while those with significant group differences in the univariate analyses (ie, male gender, married status, age and depressive symptoms) were entered as independent variables. RESULTS: The prevalence of any type of sleep disturbances in the whole sample was 26.09%, with 41.54% in the high-altitude area and 18.76% in the low-altitude area. Physical, psychological, social, and environmental QoL domains were negatively associated with sleep disturbances in high-altitude area. Multiple logistic regression analyses revealed that male gender and married status were less likely to have sleep disturbances, while those with more severe depressive symptoms were more likely to have sleep disturbances in high-altitude area. CONCLUSION: Sleep disturbance is common among older nursing home residents in high-altitude areas. Considering the negative impact of sleep disturbance on QoL, regular screening and treatment strategies need to be developed directly for this population.

Sleep duration and patterns in Chinese patients with diabetes: A meta-analysis of comparative studies and epidemiological surveys.

PURPOSE: A meta-analysis on sleep duration and patterns in patients with diabetes in China. DESIGN AND METHODS: Two investigators independently carried out a systematic literature search in both international and Chinese databases. FINDINGS: A total of 47 studies with 98 911 patients were included. The pooled mean sleep duration was 7.15 hours/day in patients with diabetes and 7.49 hours/day in healthy controls. The estimated percentage of short sleep duration of less than 6 hours/day was 23.0% in patients with diabetes and 12.3% in healthy controls, while the proportion of short sleep duration of less than 7 hours/day was 38.0% in patients with diabetes and 14.1% in healthy controls. PRACTICE IMPLICATIONS: Short sleep duration was common in Chinese patients with diabetes.

Prevalence of suicide attempt in individuals with major depressive disorder: a meta-analysis of observational surveys.

BACKGROUND: Suicide attempt (SA), which is one of the strongest predictors of completed suicide, is common in major depressive disorder (MDD) but its prevalence across epidemiological studies has been mixed. The aim of this comprehensive meta-analysis was to examine the pooled prevalence of SA in individuals with MDD. METHODS: A systematic literature search was conducted in PubMed, Embase, PsycINFO, Web of Science and Cochrane Library from their commencement date until 27 December 2017. Original studies containing data on prevalence of SA in individuals with MDD were analyzed. RESULTS: In all, 65 studies with a total of 27 340 individuals with MDD were included. Using the random effects model, the pooled lifetime prevalence of SA was 31% [95% confidence interval (CI) 27-34%], 1-year prevalence was 8% (95% CI 3-14%) and 1-month prevalence was 24% (95% CI 15-34%). Subgroup analyses revealed that the lifetime prevalence of SA was significantly associated with the patient setting, study region and income level, while the 1-month prevalence of SA was associated with only the patient setting. CONCLUSION: This meta-analysis confirmed that SA was common in individuals with MDD across the world. Careful screening and appropriate interventions should be implemented for SA in the MDD population.

The development and validation of a short version of the 33-item Hypomania Checklist (HCL-33).

BACKGROUND: The misdiagnosis of bipolar disorder (BD) as major depressive disorder (MDD) is common in clinical practice and may result in inappropriate treatment. The 33-item Hypomania Checklist (HCL-33) is a newly developed screening scale for BD with satisfactory psychometric properties. In this study, a short version of the HCL-33 was developed and validated to discriminate between BD and MDD. METHOD: All interviews were conducted in a major psychiatric hospital in China. The short version of HCL-33 (the HCL-23) was initially developed using a sample of 186 patients (MDD = 84, BD-I = 46, BD-II = 56) and its performance was tested in a separate sample of 164 patients (MDD = 77, BD-I = 44, BD-II = 43). RESULTS: The HCL-23 showed high internal consistency (Cronbach's alpha = 0.906) with two-factorial dimensions. Compared to the HCL-33, the HCL-23 demonstrated a marginally weaker performance in terms of sensitivity+specificity (1.38 vs 1.36 for BD vs MDD, 1.33 vs 1.32 for BD-I vs MDD, and 1.44 vs 1.42 for BD-II vs MDD). For discriminating BD, BD-I, and BD-II from MDD, the HCL-23 showed better sensitivity (0.82 vs 0.67, 0.77 vs 0.68, and 0.86 vs 0.72, respectively) than the HCL-33, while the HCL-33 showed better specificity (0.71 vs 0.55, 0.65 vs 0.55, and 0.71 vs 0.56, respectively) than the HCL-23. CONCLUSION: Both HCL-33 and HCl-23 have comparable psychometric properties and screening ability for BD. The HCL-23 is an effective screening tool for detecting BD in clinical settings. The HCL-23 was developed in China, therefore its psychometric properties need to be confirmed in different socio-cultural contexts.

Prevalence of suicidal behaviors in patients with major depressive disorder in China: A comprehensive meta-analysis.

BACKGROUND: Suicidal behaviors are common in major depressive disorder (MDD) and contribute significantly to premature death. The objective of this meta-analysis is to estimate the pooled prevalence of suicidal behaviors in patients with MDD in China. METHODS: The relevant databases in English (PubMed, Embase, PsycINFO and Cochrane Library) and Chinese (Chinese National Knowledge Infrastructure, Wanfang and Chinese Biological Medical Literature) were systematically and independently searched from their inceptions until January 23, 2017. Original studies that reported the prevalence of suicidal behaviors including suicidal ideation (SI), suicide plan (SP), suicide attempt (SA) and completed suicide (CS) were included. RESULTS: Thirty three articles that met the inclusion criteria were analyzed. The pooled lifetime prevalence of SI, SP and SA were 53.1% (95% CI: 42.4-63.4%), 17.5% (95% CI: 5.8-42.3%) and 23.7% (95% CI: 19.9-28.0%), respectively. One-month prevalence of SI and SA were 27.7% (95% CI: 15.4-44.5%) and 20.3% (95% CI: 12.1-32.2%), respectively. The pooled prevalence of SA during hospitalization and after onset of MDD were 17.3% (95% CI: 12.4-23.7%) and 42.1% (95% CI: 26.1-60.0%), respectively. Subgroup analyses revealed significant differences in both lifetime prevalence of SI and SA between genders, and between outpatients and inpatients with MDD. CONCLUSION: Suicidal behaviors are common in MDD patients in China. Regular screening and effective intervention for suicidal behavior in MDD patients are warranted.

Effect of adjunctive ranitidine for antipsychotic-induced weight gain: A systematic review of randomized placebo-controlled trials.

This study was a meta-analysis of randomized controlled trials (RCTs) of ranitidine as an adjunct for antipsychotic-induced weight gain in patients with schizophrenia. RCTs reporting weight gain or metabolic side effects in patients with schizophrenia were included. Case reports/series, non-randomized or observational studies, reviews, and meta-analyses were excluded. The primary outcome measures were body mass index (BMI) (kg/m2) and body weight (kg). Four RCTs with five study arms were identified and analyzed. Compared with the control group, adjunctive ranitidine was associated with marginally significant reductions in BMI and body weight. After removing an outlier study for BMI, the effect of ranitidine remained significant. Adjunctive ranitidine outperformed the placebo in the negative symptom score of the Positive and Negative Syndrome Scale. Although ranitidine was associated with less frequent drowsiness, other adverse events were similar between the two groups. Adjunctive ranitidine appears to be an effective and safe option for reducing antipsychotic-induced weight gain and improving negative symptoms in patients with schizophrenia. Larger RCTs are warranted to confirm these findings. Trial registration PROSPERO: CRD42016039735.

Cost-effectiveness analysis of left atrial appendage occlusion compared with pharmacological strategies for stroke prevention in atrial fibrillation.

BACKGROUND: Transcatheter left atrial appendage occlusion (LAAO) is a promising therapy for stroke prophylaxis in non-valvular atrial fibrillation (NVAF) but its cost-effectiveness remains understudied. This study evaluated the cost-effectiveness of LAAO for stroke prophylaxis in NVAF. METHODS: A Markov decision analytic model was used to compare the cost-effectiveness of LAAO with 7 pharmacological strategies: aspirin alone, clopidogrel plus aspirin, warfarin, dabigatran 110 mg, dabigatran 150 mg, apixaban, and rivaroxaban. Outcome measures included quality-adjusted life years (QALYs), lifetime costs and incremental cost-effectiveness ratios (ICERs). Base-case data were derived from ACTIVE, RE-LY, ARISTOTLE, ROCKET-AF, PROTECT-AF and PREVAIL trials. One-way sensitivity analysis varied by CHADS2 score, HAS-BLED score, time horizons, and LAAO costs; and probabilistic sensitivity analysis using 10,000 Monte Carlo simulations was conducted to assess parameter uncertainty. RESULTS: LAAO was considered cost-effective compared with aspirin, clopidogrel plus aspirin, and warfarin, with ICER of US$5,115, $2,447, and $6,298 per QALY gained, respectively. LAAO was dominant (i.e. less costly but more effective) compared to other strategies. Sensitivity analysis demonstrated favorable ICERs of LAAO against other strategies in varied CHADS2 score, HAS-BLED score, time horizons (5 to 15 years) and LAAO costs. LAAO was cost-effective in 86.24 % of 10,000 simulations using a threshold of US$50,000/QALY. CONCLUSIONS: Transcatheter LAAO is cost-effective for prevention of stroke in NVAF compared with 7 pharmacological strategies. The transcatheter left atrial appendage occlusion (LAAO) is considered cost-effective against the standard 7 oral pharmacological strategies including acetylsalicylic acid (ASA) alone, clopidogrel plus ASA, warfarin, dabigatran 110 mg, dabigatran 150 mg, apixaban, and rivaroxaban for stroke prophylaxis in non-valvular atrial fibrillation management.

Common Use of Electroconvulsive Therapy for Chinese Adolescent Psychiatric Patients.

PURPOSE: Little is known about the use of electroconvulsive therapy (ECT) for adolescent psychiatric patients in China. This study examined the frequency of ECT and the demographic and clinical correlates of adolescent psychiatric patients hospitalized in a tertiary psychiatric hospital in China. METHODS: This was a retrospective chart review of 954 inpatients aged between 13 and 17 years treated over a period of 8 years (2007-2013). Sociodemographic and clinical data were collected from the electronic chart management system for discharged patients. RESULTS: The rate of ECT use was 42.6% in the whole sample (46.5% for patients with schizophrenia, 41.8% for major depressive disorder, 57.8% for bipolar disorders, and 23.9% for other diagnoses). Use of ECT was independently and positively associated with older age, high aggression risk at time of admission, and use of antipsychotics and antidepressants. Compared with patients with schizophrenia, those with other psychiatric diagnoses were less likely to receive ECT. The above significant correlates explained 32% of the variance of ECT use (P < 0.001). Limitations of this study included the lack of data regarding the efficacy and side effects of ECT. Furthermore, the high rate of ECT applied only to 1 setting which limits the ability to extrapolate the implications of the results to other populations. CONCLUSIONS: The use of ECT was exceedingly high in adolescent patients treated in a tertiary clinical centre in China. It is unlikely that such a high rate of ECT use is found across China or that such practice reflects standard of care for psychiatrically ill adolescents. The underlying reasons for the high use of ECT at this center warrant urgent investigations.

Valuation of the economic benefits of human papillomavirus vaccine in Taiwan.

OBJECTIVES: The study aims to apply the contingent valuation method to elicit the willingness-to-pay (WTP), and measure the value of a statistic life (VSL), for human papillomavirus (HPV) vaccine in Taiwan. METHODS: A total of 512 questionnaires were completed on women aged 20 to 55 years with at least one daughter, during March through May 2007. The respondents' WTP for the vaccines was elicited by double-bounded binary-choice questions under two scenarios: one was to protect themselves from cervical cancer (CC) and the other was for their daughter(s). The WTP was modeled as a function of the respondents' knowledge score, attitudes toward CC and HPV vaccine, the vaccination outcome scenarios, and individual characteristics. A log-normal survival model was constructed and the maximum-likelihood method was used for estimation. RESULTS: The median regression-adjusted WTP was estimated at US$1098 to US$1233 (US$913-1004) for vaccinating the daughter (mother); and the VSL was estimated at approximately US$0.65 to US$4.09 (US$0.56-3.16) million for vaccinating the daughter (mother). CONCLUSIONS: The study results provided important evidences on the monetary value women placed on a HPV vaccine, and the differential benefits between vaccinating the women and their daughters.