We explored long-term employment status and income before and after depression diagnosis among men and women and at different working ages in Taiwan.

Data from 2006 to 2019 were obtained from the National Health Insurance Research Database (NHIRD). Individuals with newly diagnosed depressive disorder aged 15 to 64 years during the study period were identified. An equal number of individuals without depression were matched for their demographic and clinical characteristics. Employment outcomes included employment status, which was categorized into employed or unemployed, and annual income. Based on the occupation categories and monthly insurance salary recorded in the Registry for Beneficiaries of the NHIRD, a subject was defined as unemployed if he or she differed from the income earner or the occupation category was unemployed. Monthly income was defined as zero for unemployed subjects and proxied as monthly insurance salary for others. Annual income was the sum of monthly income in each observation year.

A total of 420,935 individuals with depressive disorder were included in the study, and an equal number of individuals with not diagnosed depression served as controls. Employment rate and income were lower in the depression group than in the control group before the year of diagnosis, with a difference of 5.7% in employment rate and USD 1,173 in annual income. This gap increased considerably after the year of diagnosis (7.3% in employment rate and USD 1,573 in annual incomes) and further widened in the subsequent years (8.1% in employment rate and USD 2,006 in annual incomes in the 5th following year). The drops in the employment rate and income caused by depression were more evident in men and older age groups than in women and younger age groups, respectively. However, the reduction in employment rate and income in the following years after the diagnosis was more considerable among younger age groups.

The effect of depression on employment status and income was significant during the year of diagnosis and continued afterwards. The effect on employment outcomes varied between genders and across all age groups.

Youth suicide rates have increased markedly in some countries. This study aimed to estimate the population-attributable risk of psychiatric disorders associated with suicide among Taiwanese youth aged 10–24 years.

Data were obtained from the National Death Registry and National Health Insurance (NHI) claims database between 2007 and 2019. Youth who died by suicide were included, and comparisons, 1:10 matched by age and sex, were randomly selected from the Registry for NHI beneficiaries. We used multivariable logistic regression to estimate suicide odds ratios for psychiatric disorders. The population-attributable fractions (PAF) were calculated for each psychiatric disorder.

A total of 2345 youth suicide and 23 450 comparisons were included. Overall, 44.8% of suicides had a psychiatric disorder, while only 7.9% of the comparisons had a psychiatric disorder. The combined PAF for all psychiatric disorders was 55.9%. The top three psychiatric conditions of the largest PAFs were major depressive disorder, dysthymia, and sleep disorder. In the analysis stratified by sex, the combined PAF was 45.5% for males and 69.2% for females. The PAF among young adults aged 20–24 years (57.0%) was higher than among adolescents aged 10–19 years (48.0%).

Our findings of high PAF from major depressive disorder, dysthymia, and sleep disorder to youth suicides suggest that youth suicide prevention that focuses on detecting and treating mental illness may usefully target these disorders.

Patients with terminal cancer often experience physical and mental distress. Signing a do-not-resuscitate order (DNR) is crucial to protect against invalid treatment. This study aims to explore the effect of hospice shared care intervention by medical staff on the completion of a DNR-S (DNR order signed by surrogates) for patients with terminal cancer.

The cross-sectional study in this research involved secondary analysis of data from the 2011–2015 clinical cancer case management database of a medical center in central Taiwan. Those with a DNR order signed by patients (DNR-P) or DNR-S before the hospice shared care consultation were excluded from this study; a total of 1,306 patients with terminal cancer were selected.

This study demonstrated that the percentage of DNR-S after consultation involving both nurse and physician was 75.4%. With other variables controlled, the number of DNR-Ss after consultation with a nurse was significantly lower [odds ratio (OR) = 0.57, 95% confidence interval (CI) = 0.42–0.75] and that of DNR-Ss after consultation involving both nurse and physician was significantly higher (OR = 1.35, 95% CI = 1.01–1.79), than that of DNR-Ss after consultation with only the physician.

Joint involvement of the nurse and physician in hospice care provides sufficient information to patients and family with terminal cancer about their condition and enhances doctor–patient communication. This effectively assists patients with terminal cancer and their family members in making the major decision of signing a DNR, alleviates the concerns of patients and family members about signing a DNR, and reduces terminal cancer patients’ pain at the end of life to ensure that they die in peace and dignity.

Isolation of multidrug-resistant gram-negative bacteria (MDR-GNB) from patients in the community has been increasingly observed. A prediction model for MDR-GNB colonization and infection risk stratification on hospital admission is needed to improve patient care.

A 2-stage, prospective study was performed with 995 and 998 emergency department patients enrolled, respectively. MDR-GNB colonization was defined as isolates resistant to 3 or more classes of antibiotics, identified in either the surveillance or early (≤48 hours) clinical cultures.

A score-assigned MDR-GNB colonization prediction model was developed and validated using clinical and microbiological data from 995 patients enrolled in the first stage of the study; 122 of these patients (12.3%) were MDR-GNB colonized. We identified 5 independent predictors: age>70 years (odds ratio [OR], 1.84 [95% confidence interval (CI), 1.06–3.17]; 1 point), assigned point value in the model), residence in a long-term-care facility (OR, 3.64 [95% CI, 1.57–8.43); 3 points), history of cerebrovascular accidents (OR, 2.23 [95% CI, 1.24–4.01]; 2 points), hospitalization within 1 month (OR, 2.63 [95% CI, 1.39–4.96]; 2 points), and recent antibiotic exposure (OR, 2.18 [95% CI, 1.16–4.11]; 2 points). The model displayed good discrimination in the derivation and validation sets (area under ROC curve, 0.75 and 0.80, respectively) with the best cutoffs of<4 and ≥4 points for low- and high-risk MDR-GNB colonization, respectively. When applied to 998 patients in the second stage of the study, the model successfully stratified the risk of MDR-GNB infection during hospitalization between low- and high-risk groups (probability, 0.02 vs 0.12, respectively; log-rank test, P<.001).

A model was developed to optimize both the decision to initiate antimicrobial therapy and the infection control interventions to mitigate threats from MDR-GNB.

Infect Control Hosp Epidemiol 2017;38:1216–1225

Heat stroke is a medical emergency. Psychiatric patients are particularly susceptible to heat stroke. Therefore, awareness and preventive measures of heat stroke are important for both clinicians and patients.

A 49-year-old man with schizophrenia, who was under maintenance treatment with olanzapine 20 mg/day, trihexyphenidyl 4 mg/day, and trazodone 50 mg/day, suffered from heat stroke in a heat wave and required intensive care. He recovered with the medical treatment provided.

Several factors could have contributed to the impaired thermoregulation and the occurrence of heat stroke in this case: schizophrenia, the psychotropic regimen, and lack of preventive measures. Possible differential diagnoses of heat stroke in this case include infection, neuroleptic malignant syndrome, and serotonin syndrome.

Heat stroke can occur during the maintenance treatment of olanzapine, trihexyphenidyl, and trazodone for schizophrenia. Clinicians should be proactive to reduce the risk of heat stroke in psychiatric patients.

Previous studies have found that social cohesion and trust (SCT) were associated with psychological well-being and physical health. In this study, we investigated the associations between SCT and mental and physical health among community-dwelling elderly in a town in southern Taiwan.

The study population consisted of 149 community-dwelling elderly aged 65 years and older (68 men, 81 women; mean age, 75.4 ± 6.1 years) residing in the town of Dashe in southern Taiwan. Activities of daily living (ADL), SCT, depression, subjective quality of life (QOL), current medical status, past medical history, and health behaviors were assessed in face-to-face interviews. Objective neurobehavioral functions were assessed using the timed up & go (TUG) test, functional reach test, and handgrip test.

Scores for ADL and Geriatric Depression Scale (GDS) were significantly correlated with SCT, and SCT was significantly correlated with all subjective QOL items. In addition, a strong correlation was observed between SCT and relationship with friends. Values for SCT (median ≥ 20) were significantly associated with both subjective sense of health (median ≥ 68) and subjective happiness (median ≥ 73) after adjusting for age, sex, and ADL.

SCT is an important variable that influences self-rated health and happiness, independently of ADL, age, and sex. When assessing geriatric psychological function, SCT should be examined more carefully, given its association with subjective sense of health and happiness, depression, and physical function.

The association between autoimmune diseases and schizophrenia has rarely been systematically investigated.

To investigate the association between schizophrenia and a variety of autoimmune diseases and to explore possible gender variation in any such association.

Taiwan's National Health Insurance Research Database was used to identify 10 811 hospital in-patients with schizophrenia and 108 110 age-matched controls. Univariate and multiple logistic regression analyses were performed, separately, to evaluate the association between autoimmune diseases and schizophrenia. We applied the false discovery rate to correct for multiple testing.

When compared with the control group, the in-patients with schizophrenia had an increased risk of Graves' disease (odds ratio (OR) = 1.32, 95% CI 1.04–1.67), psoriasis (OR = 1.48, 95% CI 1.07–2.04), pernicious anaemia (OR = 1.71, 95% CI 1.04–2.80), celiac disease (OR = 2.43, 95% CI 1.12–5.27) and hypersensitivity vasculitis (OR = 5.00, 95% CI 1.64–15.26), whereas a reverse association with rheumatoid arthritis (OR = 0.52, 95% CI 0.35–0.76) was also observed. Gender-specific variation was found for Sjögren syndrome, hereditary haemolytic anaemia, myasthenia gravis, polymyalgia rheumatica and dermatomyositis.

Schizophrenia was associated with a greater variety of autoimmune diseases than was anticipated. Further investigation is needed to gain a better understanding of the aetiology of schizophrenia and autoimmune diseases.

To investigate the impact of antimicrobial resistance on clinical and economic outcomes among hospitalized patients with multidrug-resistant (MDR) Acinetobacter baumannii bacteremia.

A retrospective, matched-cohort study.

A tertiary care university teaching hospital

A matched case-control (1:1) study was conducted to compare the differences in clinical and economic outcomes of patients with MDR A. baumannii bacteremia and patients with non-MDR A. baumannii bacteremia. Case patients were matched to control patients on the basis of sex, age, severity of underlying and acute illness, and length of hospital stay before onset of bacteremia.

Forty-six (95.8%) of 48 cases with MDR A. baumannii bacteremia were eligible for the study and matched with appropriate controls. The sepsis-related mortality rate was 34.8% among cases and 13.0% among controls, for an attributable mortality rate of 21.8% (adjusted odds ratio, 4.1 [95% confidence interval, 1.1-15.7]; P = .036). After the onset of bacteremia, cases and controls had a significantly different length of hospital stay (54.2 vs 34.1 days; P = .006), hospitalization cost (US$9,349 vs US$4,865; P = .001 ), and antibiotic therapy cost (US$2,257 vs US$1,610; P = .014). Thus, bacteremia due to MDR A. baumannii resulted in 13.4 days of additional hospitalization and US$3,758 of additional costs, compared with bacteremia due to non-MDR A. baumannii.

Patients with MDR A. baumannii bacteremia had a higher mortality rate and incurred greater medical costs than patients with non-MDR A. baumannii bacteremia.