Risk of Upper Gastrointestinal Bleeding and Gastroduodenal Ulcers in Persons With Schizophrenia: A Danish Cohort Study

Upper gastrointestinal haemorrhage patients' survival: A causal inference and prediction study

BACKGROUND

Upper gastrointestinal (GI) bleeding is a common medical emergency. This study aimed to develop models to predict critically ill patients with upper GI bleeding in-hospital and 30-day survival, identify the correlation factor and infer the causality.

METHODS

A total of 2898 patients with upper GI bleeding were included from the Medical Information Mart for Intensive Care-IV and eICU-Collaborative Research Database, respectively. To identify the most critical factors contributing to the prognostic model, we used SHAP (SHapley Additive exPlanations) for machine learning interpretability. We performed causal inference using inverse probability weighting for survival-associated prognostic factors.

RESULTS

The optimal model using the light GBM (gradient boosting algorithm) algorithm achieved an AUC of .93 for in-hospital survival, .81 for 30-day survival in internal testing and .87 for in-hospital survival in external testing. Important factors for in-hospital survival, according to SHAP, were SOFA (Sequential organ failure assessment score), GCS (Glasgow coma scale) motor score and length of stay in ICU (Intensive critical care). In contrast, essential factors for 30-day survival were SOFA, length of stay in ICU, total bilirubin and GCS verbal score. Our model showed improved performance compared to SOFA alone.

CONCLUSIONS

Our interpretable machine learning model for predicting in-hospital and 30-day mortality in critically ill patients with upper gastrointestinal bleeding showed excellent accuracy and high generalizability. This model can assist clinicians in managing these patients to improve the discrimination of high-risk 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.

Gastrointestinal and liver disease in patients with schizophrenia: A narrative review

Schizophrenia is a severe mental illness which can have a devastating impact on an individual’s quality of life. Comorbidities are high amongst patients and life expectancy is approximately 15 years less than the general population. Despite the well-known increased mortality, little is known about the impact of gastrointestinal and liver disease on patients with schizophrenia. We aimed to review the literature and to make recommendations regarding future care. Literature searches were performed on PubMed to identify studies related to gastrointestinal and liver disease in patients with schizophrenia. High rates of chronic liver disease were reported, with Non-Alcoholic Fatty Liver Disease being of particular concern; antipsychotics and metabolic syndrome were contributing factors. Rates of acute liver failure were low but have been associated with antipsychotic use and paracetamol overdose. Coeliac disease has historically been linked to schizophrenia; however, recent research suggests that a causal link is yet to be proven. Evidence is emerging regarding the relationships between schizophrenia and peptic ulcer disease, inflammatory bowel disease and irritable bowel syndrome; clinical vigilance regarding these conditions should be high. Patients with schizophrenia poorly engage with bowel cancer screening programmes, leading to late diagnosis and increased mortality. Clozapine induced constipation is a significant issue for many patients and requires close monitoring. There is a significant burden of gastrointestinal and liver disease amongst patients with schizophrenia. Better levels of support from all members of the medical team are essential to ensure that appropriate, timely care is provided.

Mental health conditions and bleeding events in patients with incident atrial fibrillation: A Finnish nationwide cohort study

OBJECTIVE

We assessed the hypothesis that mental health conditions (MHCs) are associated with higher risk of bleeding in patients with atrial fibrillation (AF).

METHODS

The registry-based FinACAF study covers all patients with AF diagnosed during 2007-2018 in Finland. MHCs of interest were depression, bipolar disorder, anxiety disorder, schizophrenia, and any MHC. The outcomes were first-ever gastrointestinal, intracranial, and any bleeding event.

RESULTS

We identified 205,019 patients (50.9% female; mean age 72.3 [standard deviation 13.4] years) with incident AF without prior bleeding, and the prevalence of any MHC was 6.1%. Any MHC, depression, and anxiety disorder were associated with the risk of any bleeding (adjusted hazard ratios (HRs) 1.19 [1.12-1.27], 1.21 [1.13-1.30], and 1.21 [1.08-1.35], respectively). Additionally, any MHC and depression were associated with the risk of gastrointestinal and intracranial bleeding and anxiety disorder with gastrointestinal bleeding. Bipolar disorder and schizophrenia were not associated with risk of bleeding. Use of oral anticoagulants was associated with the risk of any bleeding (adjusted HR 1.24 [95% CI 1.21-1.28)]), and this association was similar in patients with and without MHCs. Serotonin reuptake inhibitors were not associated with bleeding risk.

CONCLUSIONS

MHCs are associated with a higher risk of bleeding in patients with AF.

Trends and Contributing Factors for Prescribing Antipsychotics in Newly Diagnosed Parkinson's Disease Patients: A Population-Based Study

Purpose

Psychosis is very common in later stages of Parkinson’s disease (PD) patients, but its prevalence in newly diagnosed patients is not rare. The use of antipsychotics in PD patients is complex given their association with worsening Parkinsonian motor symptoms and increased mortality rate. This study aims to examine factors that affect the use of antipsychotics in newly diagnosed PD patients and to identify changes in prescribing over time.

Patients and Methods

The Secure Anonymized Information Linkage (SAIL) databank was used to identify a cohort of newly diagnosed PD patients aged 40 years and older in Wales. The cohort was longitudinally examined over 17 years to determine the incidence of new antipsychotic use. Logistic regression models were used to analyze the data and were adjusted for several potential confounding variables.

Results

A total of 9142 PD patients were identified after applying inclusion and exclusion criteria, of whom 58.6% were male. During the first year of PD diagnosis, 12% of the patients developed psychosis and were prescribed antipsychotics. Quetiapine was the most commonly prescribed (49%), followed by risperidone (10.7%). The use of antipsychotics in newly diagnosed PD patients was significantly lower in the years 2009–2016 compared to 2000–2008 (OR 0.37, 95% CI 0.32–0.43). Other significant prescribing factors included patient’s age and history of dementia.

Conclusion

A dramatic decline in antipsychotic use was identified across years, showing adherence to warnings against use of antipsychotics for PD patients. Given that psychosis is prevalent in PD patients, the continuous assessment of the safety risks of antipsychotics is a matter of priority.