Assessment of venous thromboembolism risk and initiation of appropriate prophylaxis in psychiatric patients

COVID-19 and Antipsychotic Therapy: Unraveling the Thrombosis Risk

In the context of the COVID-19 pandemic, this study investigates the potential correlation between the increased use of antipsychotic medications and the rising incidence of venous thromboembolism (VTE). As psychiatric disorders surged, the consequential escalation in antipsychotic drug use raised concerns about thrombotic risks. We conducted a comprehensive literature review using PubMed, focusing on articles that intersected COVID-19, antipsychotic medication, and thrombosis. This approach allowed for a nuanced examination of the historical and recent data on antipsychotic drugs and their association with thrombotic events. Our findings reveal a notable link between the use of antipsychotic medications, particularly second-generation antipsychotics, and an increased risk of VTE, including pulmonary embolism and deep vein thrombosis. This association was evident, despite variations in study designs and populations. The study underscores the need for cautious medication management in psychiatric care, especially during pandemic conditions like COVID-19, to mitigate thrombotic risks. It advocates a personalized approach to prescribing antipsychotics, considering individual patient factors and comorbidities, to balance the benefits against potential thrombotic complications.

An Electronic Medical Record Intervention to Increase Pharmacologic Prophylaxis for Venous Thromboembolism in Emergency Department Observation Patients

STUDY OBJECTIVE

The role of venous thromboembolism (VTE) prophylaxis among patients receiving emergency department (ED) observation unit care is unclear. We investigated an electronic health record-based clinical decision support tool aimed at increasing pharmacologic VTE prophylaxis use among at-risk patients placed in ED observation units.

METHODS

We conducted an interrupted time-series study of an Epic-based best practice advisory implemented in May 2019 at a health care system comprising 2 academic medical centers and 4 community hospitals with dedicated ED observation units. The best practice advisory alerted staff at 24 hours to conduct a risk assessment and linked to a VTE prophylaxis order set. We used an interrupted time series, Bayesian structured time series, and a multivariable mixed-effect regression model to estimate the intervention effect.

RESULTS

Prior to the best practice advisory implementation, there were 8,895 ED observation unit patients with a length of stay more than or equal to 24 hours, and 0.9% received pharmacologic VTE prophylaxis. Afterward, there were 12,664 ED observation unit patients with a length of stay more than or equal to 24 hours, and 4.8% received pharmacologic VTE prophylaxis. The interrupted time series and causal impact analysis showed a statistically significant increase in VTE prophylaxis (eg, absolute percent difference 3.8%, 95% confidence interval 3.5 to 4.1). In a multivariable model, only the intervention was significantly associated with receiving VTE prophylaxis (odds ratio 4.56, 95% confidence interval 2.22 to 9.37).

CONCLUSION

An electronic health record-based alert helped to prompt staff caring for ED observation unit patients at risk for VTE with prolonged visits to order recommended pharmacologic prophylaxis. The best risk assessment model to use and the true incidence of VTE events in this population are unclear.

Development of a risk stratification scoring system for deep vein thrombosis upon psychiatric admission

AIM

Psychiatric patients have increased risk of deep vein thrombosis (DVT). However, there is no systematic data on risk assessment of DVT among psychiatric inpatients. The aim of this study was to develop a risk stratification scoring system for DVT among psychiatic patients on admission.

METHODS

A systematic review of psychiatric patient's charts, who were admitted to the Tokyo Metropolitan Matsuzawa Hospital from June 2012 to February 2016 and underwent screening for DVT, was conducted. Patients were randomly divided into development (n = 2634) and validation (n = 2634) groups. Estimated risk values in the multiple logistic regression model for the development sample were rounded to the nearest integer, and used as points of associated factors in the risk stratification scoring system; the total scores were tested in the validation sample. The score's discriminatory ability was assessed with the area under the receiver operating characteristic curve (AUC).

RESULTS

Among the 5268 patients, 258 (4.9%) had DVT. Advancing age, female sex, active cancer, previous venous thromboembolism, transfer from a general hospital, catatonia, and major depressive episode were all significantly associated with the presence of DVT in the development sample. The total score showed good discriminatory ability in the validation sample (AUC: 0.816, 95% confidence interval: 0.781-0.851); scores of 0-1, 2-3, 4-5, and ≥ 6 were associated with very low risk (0.7%), low risk (4.6%), moderate risk (14.9%), and high risk (35%) for DVT, respectively.

CONCLUSION

Our risk stratification scoring system showed good performance for detection of DVT among psychiatric patients on admission.