Breast cancer is a major global health issue, especially among women. Previous research has indicated a possible association between psychiatric conditions, particularly schizophrenia, and an increased risk of breast cancer. However, the specific risk of breast cancer in women with schizophrenia, compared with those with other psychiatric disorders and the general population, remains controversial and needs further clarification.

To estimate the risk of breast cancer among people with schizophrenia compared with people with other psychiatric disorders and people in the general population.

We utilised medical claims data of women aged 18 to 80 years in the Korean National Health Information Database from 2007 to 2018. Individuals with schizophrenia were defined as women with ICD-10 codes F20 or F25 (n = 224 612). The control groups were defined as women with other psychiatric disorders (n = 224 612) and women in the general Korean population (n = 449 224). Cases and controls were matched by index date and age, in a 1:1:2 ratio. We estimated the hazard of breast cancer using the Cox proportional hazards model, adjusting for insurance premiums and medical comorbidities. Among the people with schizophrenia, we used the landmark method to estimate the association between duration of antipsychotic medication use and the incidence of breast cancer.

In multivariable Cox regression models, the hazard rate of breast cancer was 1.26 times higher in the people with schizophrenia than in the general population (95% CI: 1.20–1.32). In comparison with the psychiatric patient group, the hazard ratio was 1.17 (95% CI: 1.11–1.28). Among women with schizophrenia, the hazard of breast cancer was greater among those who took antipsychotic medications for 1 year or more compared with those who took antipsychotics for less than 6 months.

Women with schizophrenia have an elevated risk of breast cancer, and long-term use of antipsychotics is associated with an increased risk of breast cancer.

Chronic alcoholism can result in severe liver conditions such as fatty liver disease and cirrhosis, potentially leading to life-threatening complications and premature death.

This study investigated the age-sex distribution of patients with alcohol addiction and aimed to identify differences in clinic department preferences based on their principal and additional diagnoses in Taiwan, in 2022.

We conducted a comprehensive analysis of the diagnostic patterns of 334 patients with alcohol addiction from the Taoyuan General Hospital, Ministry of Health and Welfare.

Figure 1 depicts patient demographics, highlighting 297 male and 37 female patients with alcohol-related disorders. Males aged 41-60 years were particularly dominant, as shown in Figure 2. Principal diagnoses, including alcoholic liver disease and acute pancreatitis, are detailed in Table 1. Additional diagnoses, such as chronic pancreatitis and esophageal varices, are presented in Table 2. For departmental preferences, Table 3 reveals the Gastrointestinal (GI) department as the top choice, followed by Kidney, Neurological, and Cardiovascular/Chest.Table 1.

Top 5 Principal Diagnoses of Alcohol Addiction Patients.

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The study revealed that patients with alcohol addiction often delay seeking psychiatric help instead of presenting for medical care only after liver or gastrointestinal complications occur. This underscores the crucial need for better health education regarding the relationship between alcohol addiction and liver disease. Prompt recognition and early intervention for substance addiction can significantly reduce these risks and improve patient outcomes.

None Declared

The COVID-19 pandemic has stressed global healthcare systems, with Taiwan’s National Health Insurance (NHI) playing a crucial role in prevention and treatment. Like other countries, Taiwan grappled with managing the virus alongside regular healthcare services, resulting in notable financial strain on hospitals after COVID-19 pandemic.

This study explores the financial implications of the psychiatric department at a medical center in Taiwan, highlighting the changing dynamics of healthcare costs and revenue during this period.

Data were collected monthly between January 2020 and September 2022, including the number of outpatient visits, inpatient patient-days, medical revenue, medical costs, and gross medical profit. Multivariate linear regression analysis confirmed the assumptions of the model and validated the findings.

Regression analysis revealed a significant correlation between the number of patients and financial indicators (USD1). Medical revenue (Table. 1), grew by 82 USD for each outpatient visit(p<0.001, 95% CI:41–122), and grew by 70 USD for each inpatient-days(p=0.001, 95% CI:31–108). Medical costs (Table. 2), increased by 59 USD for every inpatient-days (p=0.01, 95% CI:15–102). Finally, the gross medical profits (Table. 3) increased by 72 USD for each outpatient visit (p=0.003, 95% CI:27–117).Table 1.

Multiple linear regression analysis of the impact of medical service on medical revenue.

During the COVID-19 outbreak, healthcare systems, including those in Taiwan, were tested for unparalleled service challenges. This study found that while outpatient services boosted profits, rising inpatient admissions strained finances, given their higher costs and staffing needs. After the pandemic, psychiatric departments should reconsider resource allocation to balance expenses and revenues. Effective management is crucial for patient outcomes, emphasizing the need for quality care and fiscal control. Future research must focus on fortifying healthcare resilience.

None Declared

This study aimed to examine the independent roles of various childhood maltreatment (CM) subtypes in the development of depression; quantify the joint mediation effect of social support and mastery in the association between subtypes of CM and depression and examine the additional contribution of mastery beyond the effect that is operating through social support to this relationship.

Data analysed were from the Zone d’Épidémiologie Psychiatrique du Sud-Ouest de Montréal, an ongoing longitudinal population-based study. In total, 1351 participants with complete information on the studied variables were included. The propensity score matching and inverse-probability weighted regression adjustment estimation methods were used to minimise the potential confounding in the relationship between CM and major depression. We then used inverse odds ratio-weighted estimation to estimate the direct effects of maltreatment and indirect effects of social support and mastery.

We found that exposures to all maltreatment subtypes increased the risk of subsequent depression. The joint mediating effect of social support and mastery explained 37.63–46.97% of the association between different maltreatment subtypes and depression. The contribution of these two mediators differed by maltreatment subtypes, with social support being the major contributor to the mediating effect.

The findings of the study not only provide scientific evidence on the importance of psychosocial attributes in the development of major depression but also suggest that prevention and invention strategies should focus on these psychosocial attributes to effectively break the vicious cycle of CM on major depression.

Identification of treatment-specific predictors of drug therapies for bipolar disorder (BD) is important because only about half of individuals respond to any specific medication. However, medication response in pediatric BD is variable and not well predicted by clinical characteristics.

A total of 121 youth with early course BD (acute manic/mixed episode) were prospectively recruited and randomized to 6 weeks of double-blind treatment with quetiapine (n = 71) or lithium (n = 50). Participants completed structural magnetic resonance imaging (MRI) at baseline before treatment and 1 week after treatment initiation, and brain morphometric features were extracted for each individual based on MRI scans. Positive antimanic treatment response at week 6 was defined as an over 50% reduction of Young Mania Rating Scale scores from baseline. Two-stage deep learning prediction model was established to distinguish responders and non-responders based on different feature sets.

Pre-treatment morphometry and morphometric changes occurring during the first week can both independently predict treatment outcome of quetiapine and lithium with balanced accuracy over 75% (all p < 0.05). Combining brain morphometry at baseline and week 1 allows prediction with the highest balanced accuracy (quetiapine: 83.2% and lithium: 83.5%). Predictions in the quetiapine and lithium group were found to be driven by different morphometric patterns.

These findings demonstrate that pre-treatment morphometric measures and acute brain morphometric changes can serve as medication response predictors in pediatric BD. Brain morphometric features may provide promising biomarkers for developing biologically-informed treatment outcome prediction and patient stratification tools for BD treatment development.

Early-life stressful circumstances (i.e. childhood maltreatment) coupled with stressful events later in life increase the likelihood of subsequent depression. However, very few studies have been conducted to examine the specific and cumulative effects of these stressors in the development of depression. There is also a paucity of research that simultaneously considers the role of biological factors combined with psychosocial stressors in the aetiology of depression. Guided by the biopsychosocial model proposed by Engel, the present study aims to examine to what extent the experience of stressors across the lifespan is associated with depression while taking into account the role of genetic predispositions.

Data analysed were from the Social and Psychiatric Epidemiology Catchment Area of the Southwest of Montreal (ZEPSOM), a large-scale, longitudinal community-based cohort study. A total of 1351 participants with complete information on the lifetime diagnoses of depression over a 10-year follow-up period were included in the study. Stressful events across the lifespan were operationalised as specific, cumulative and latent profiles of stressful experiences. Latent profile analysis (LPA) was used to explore the clustering of studied stressors including childhood maltreatment, poor parent–child relationship, and stressful life events. A polygenetic risk score was calculated for each participant to provide information on genetic liability. Multivariate logistic regression was used to examine the association between specific, cumulative and latent profiles of stressors and subsequent depression.

We found that different subtypes of childhood maltreatment, child–parent bonding and stressful life events predicted subsequent depression. Furthermore, a significant association between combined effects of cumulative stressful experiences and depression was found [odds ratio (OR) = 1.20, 95% confidence interval (CI): 1.12–1.28]. Three latent profiles of lifetime stressors were identified in the present study and named as ‘low-level of stress’ (75.1%), ‘moderate-level of stress’ (6.8%) and ‘high-level of stress’ (18.1%). Individuals with a ‘high-level of stress’ had a substantially higher risk of depression (OR = 1.80, 95% CI: 1.08–3.00) than the other two profiles after adjusting for genetic predispositions, socio-demographic characteristics, and health-related factors.

While controlling for genetic predispositions, the present study provides robust evidence to support the independent and cumulative as well as compositional effects of early- and later-on lifetime psychosocial stressors in the subsequent development of depression. Consequently, mental illness prevention and mental health promotion should target the occurrence of stressful events as well as build resilience in people so they can better cope with stress when it inevitably occurs.

The risk of antipsychotic-associated cardiovascular and metabolic events may differ among countries, and limited real-world evidence has been available comparing the corresponding risks among children and young adults. We, therefore, evaluated the risks of cardiovascular and metabolic events in children and young adults receiving antipsychotics.

We conducted a multinational self-controlled case series (SCCS) study and included patients aged 6–30 years old who had both exposure to antipsychotics and study outcomes from four nationwide databases of Taiwan (2004–2012), Korea (2010–2016), Hong Kong (2001–2014) and the UK (1997–2016) that covers a total of approximately 100 million individuals. We investigated three antipsychotics exposure windows (i.e., 90 days pre-exposure, 1–30 days, 30–90 days and 90 + days of exposure). The outcomes were cardiovascular events (stroke, ischaemic heart disease and acute myocardial infarction), or metabolic events (hypertension, type 2 diabetes mellitus and dyslipidaemia).

We included a total of 48 515 individuals in the SCCS analysis. We found an increased risk of metabolic events only in the risk window with more than 90-day exposure, with a pooled IRR of 1.29 (95% CI 1.20–1.38). The pooled IRR was 0.98 (0.90–1.06) for 1–30 days and 0.88 (0.76–1.02) for 31–90 days. We found no association in any exposure window for cardiovascular events. The pooled IRR was 1.86 (0.74–4.64) for 1–30 days, 1.35 (0.74–2.47) for 31–90 days and 1.29 (0.98–1.70) for 90 + days.

Long-term exposure to antipsychotics was associated with an increased risk of metabolic events but did not trigger cardiovascular events in children and young adults.

The safe closure of atrial septal defect with deficient posterior-inferior or inferior vena cava rim is a controversial issue. Few studies have been conducted on the closure of atrial septal defect with deficient posterior-inferior or inferior vena cava rim without fluoroscopy. This study evaluated the feasibility and safety of echocardiography-guided transcatheter closure of atrial septal defect with deficient posterior-inferior or inferior vena cava rim.

The data of 136 patients who underwent transcatheter atrial septal defect closure without fluoroscopy from March 2017 to March 2020 were retrospectively analysed. The patients were classified into the deficient (n = 45) and sufficient (n = 91) posterior-inferior or inferior vena cava rim groups. Procedure and the follow-up results were compared between the two groups.

Atrial septal defect indexed diameter and the device indexed diameter in the deficient rim group were both larger than that in the sufficient rim group (22.12 versus 17.38 mm/m2, p < 0.001; 24.77 versus 21.21 mm/m2, p = 0.003, respectively). There was no significant difference in the success rate of occlusion between two groups (97.78% in the deficient rim group versus 98.90% in the sufficient rim group, p = 1.000). During follow-up, the incidence of severe adverse cardiac events was not statistically significant (p = 0.551).

Atrial septal defect with deficient posterior-inferior or inferior vena cava rim can safely undergo transcatheter closure under echocardiography alone if precisely evaluated with transesophageal or transthoracic echocardiography and the size of the occluder is appropriate. The mid-term results after closure are similar to that for an atrial septal defect with sufficient rim.

The coexistence of underweight (UW) and overweight (OW)/obese (OB) at the population level is known to affect iron deficiency (ID) anaemia (IDA), but how the weight status affects erythropoiesis during pregnancy is less clear at a population scale. This study investigated associations between the pre-pregnancy BMI (pBMI) and erythropoiesis-related nutritional deficiencies.

Anthropometry, blood biochemistry and 24-h dietary recall data were collected during prenatal care visits. The weight status was defined based on the pBMI. Mild nutrition deficiency-related erythropoiesis was defined if individuals had an ID, folate depletion or a vitamin B12 deficiency.

The Nationwide Nutrition and Health Survey in Taiwan (Pregnant NAHSIT 2017–2019).

We included 1456 women aged 20 to 45 years with singleton pregnancies.

Among these pregnant women, 9·6 % were UW, and 29·2 % were either OW (15·8 %) or OB (13·4 %). A U-shaped association between the pBMI and IDA was observed, with decreased odds (OR; 95 % CI) for OW subjects (0·6; 95 % CI (0·4, 0·9)) but increased odds for UW (1·2; 95 % CI (0·8, 2·0)) and OB subjects (1·2; 95 % CI (0·8, 1·8)). The pBMI was positively correlated with the prevalence of a mild nutritional deficiency. Compared to normal weight, OB pregnant women had 3·4-fold (3·4; 95 % CI (1·4, 8·1)) higher odds for multiple mild nutritional deficiencies, while UW individuals had lowest odds (0·3; 95 % CI (0·1, 1·2)). A dietary analysis showed negative relationships of pBMI with energy, carbohydrates, protein, Fe and folate intakes, but positive relationship with fat intakes.

The pre-pregnancy weight status can possibly serve as a good nutritional screening tool for preventing IDA during pregnancy.