Antipsychotic medications and severe sepsis in schizophrenia: A nested case-control study.

BACKGROUND: Sepsis constitutes a condition that involves life-threatening organ dysfunction induced by severe infection. This nested case-control study investigated risk factors for severe sepsis and whether antipsychotic use is associated with severe sepsis risk in patients with schizophrenia, a topic that has not been comprehensively explored in previous studies. METHODS: We selected 39,432 patients with schizophrenia aged between 15 and 65 years from Taiwan's Psychiatric Inpatient Medical Claims database for the period 2000-2012. The case group comprised patients with severe sepsis after their first psychiatric admission (n = 1382). The case and control groups were randomly matched (1:4) by age, sex and first psychiatric admission (year) and finally comprised 1382 and 5528 individuals, respectively. We employed multivariable conditional logistic regression to identify (1) risk factors (physical illnesses and nonpsychiatric medications) and (2) antipsychotic-severe sepsis associations. RESULTS: Higher numbers of psychiatric admissions and physical illnesses such as delirium, cerebrovascular disease and cancer were significantly associated with a higher risk of severe sepsis. Furthermore, severe sepsis was associated with the use of antithrombotic agents, systemic corticosteroids and agents targeting the renin-angiotensin system. Clozapine (adjusted risk ratio = 1.65) and quetiapine (adjusted risk ratio = 1.59) use were associated with an increased risk of severe sepsis. The use of more than one antipsychotic drug could further increase this risk. CONCLUSION: Several physical illnesses and nonpsychiatric medications increase the risk of severe sepsis in patients with schizophrenia. Specifically, clozapine or quetiapine use significantly increased the risk of severe sepsis in these patients.

Prevalence and 3-year incidence of physical illnesses after schizophrenia diagnosis: Comparison with general population.

AIM: People with schizophrenia are at a greater risk of poor physical health than the general population. This study investigated the annual incidence of physical illnesses after a new schizophrenia diagnosis, which has rarely been investigated in the literature. METHODS: The authors collected data from Taiwan's National Health Insurance Research Database from January 1, 1996, to December 31, 2013, and enrolled 1910 patients with newly diagnosed schizophrenia cases aged 10-40 years and 7640 age- and sex-matched controls from the general population. They estimated the 1-year prevalence and annual incidence rate ratio (IRR) of specified physical diseases across 3 years in the schizophrenia group compared with the controls. RESULTS: Several physical illnesses were prevalent within 1 year of schizophrenia diagnosis. Regarding incident physical illnesses, patients had a moderate to strong risk of numerous physical illnesses (IRR > 3.0: ischemic heart disease, cerebrovascular disease, diabetes mellitus, and cancer; IRR 1.8-3.0: other forms of heart disease, vein and lymphatic diseases, pneumonia, chronic hepatic disease, and ulcer disease) within the first year after schizophrenia diagnosis. The IRRs of most physical illnesses declined over 3 years, except for that of cerebrovascular disease, which significantly increased (IRR > 3.0) over the 3 years after schizophrenia diagnosis. Cerebrovascular disease had a significant incidence risk (IRR > 3) persistently across the 3 years. CONCLUSION: Various comorbid physical illnesses can occur in the early stages of schizophrenia. Clinicians should consider these vulnerabilities to physical illnesses during the evaluation of patients with newly diagnosed schizophrenia by attempting to prevent, screen for, and manage them.

Excess mortality and risk factors for mortality among patients with severe mental disorders receiving home care case management.

AIM: Home care case management (CM) is the main intervention for patients with severe mental disorders (SMDs) requiring outreach care. This study investigated the long-term mortality outcome and associated risk factors in patients who received home care CM. METHODS: This nationwide study enrolled patients who received home care CM (n = 10,255) between 1 January 1999 and 31 December 2010. Each patient was followed up from the baseline (when patients underwent home case CM for the first time during the study period) to the censor (i.e. mortality or the end of the study). We calculated the standardized mortality ratio (SMR) and presented by age and diagnosis. Multivariate regression was performed to assess independent risk factors for mortality. RESULTS: Among 10,255 patients who received home care CM, 1409 died during the study period; the overall SMR was 3.13. Specifically, patients with organic mental disorder had the highest SMR (4.98), followed by those with schizophrenia (3.89), major depression (2.98), and bipolar disorder (1.97). In the multivariate analysis, patients with organic mental disorder or dementia had the highest risk, whereas the mortality risk in patients with schizophrenia was comparable to that in patients with bipolar disorder or major depression. Deceased patients had a significantly higher proportion of acute or chronic physical illnesses, including cancer, chronic hepatic disease, pneumonia, diabetes mellitus, cardiovascular disease, and asthma. CONCLUSION: This study presented the gap of mortality in patients with SMDs receiving home care CM in Taiwan. We highlight the need for effective strategies to improve medical care for this specified population.

Nationwide analysis of medical utilization in people with severe mental illness receiving home care case management.

AIM: This nationwide study investigated the change in medical utilization of psychiatric home care case management (CM). METHODS: This nationwide study enrolled patients receiving CM (N = 10,274) from January 1, 1999 to December 31, 2010, from Taiwan's National Health Insurance Research Database. Through a 2-year mirror-image comparison weighted by the contributed person-time for each subject, we evaluated changes in medical utilization. Furthermore, a case-crossover analysis was used to verify the independent effect of CM in changing medical utilization by adjusting the time-variant variables between the pre-2-year (within 2 years before receiving CM) and post-2-year (within years after receiving CM) periods. The same methodology was applied for the subsequent 2-year comparison to assess the maintenance effect. RESULTS: Of the 10,274 patients receiving CM, 69.7% had schizophrenia. The results showed a chronological trend for the intervention of CM. The adjusted mirror-image analysis revealed a significant decrement of psychiatric and involuntary admissions after the intervention, and the utilization shifted toward psychiatric outpatient service. The case-crossover analysis with the adjustment of time-variant covariates confirmed the independent effect of CM on the changes of medical utilization. The comparable effect persisted after the next 2 years of intervention. However, CM showed no impact on lowering the admission rate for comorbid physical illnesses after the intervention. CONCLUSIONS: The CM model can effectively reduce psychiatric hospitalization and involuntary admission frequency but has no effect on comorbid physical illnesses. Care models aimed at ameliorating physical problems in such patients are needed.