Clinicians' adherence to clinical practice guidelines for cardiac function monitoring during antipsychotic treatment: a retrospective report on 434 patients with severe mental illness

Use of Electrocardiogram Monitoring in Adult Patients Taking High-Risk QT Interval Prolonging Medicines in Clinical Practice: Systematic Review and Meta-analysis

Introduction

Electrocardiogram (ECG) monitoring is an important tool to detect and mitigate the risk of potentially fatal drug-induced QT prolongation and remains fundamental in supporting the quality use of high-risk QT interval prolonging medicines.

Objective

The aim of this systematic review was to determine the prevalence of baseline and/or follow-up ECG use in adult patients taking high-risk QT interval prolonging medicines in clinical practice.

Methods

CINAHL, Cochrane Library, Embase, PubMed, EThOS, OpenGrey and Proquest were searched for studies in adults that reported ECG use at baseline and/or at follow-up in relation to the initiation of a high-risk QT interval prolonging medicine in any clinical setting; either hospital or non-hospital. Two reviewers independently assessed the methodological quality of included studies. Proportional meta-analysis was conducted with all studies reporting baseline ECG use, before medicine initiation, and follow-up ECG use, within 30 days of medicine initiation.

Results

There was variability in baseline ECG use according to the practice setting. The prevalence of baseline ECG use for high-risk QT interval prolonging medicines was moderate to high in the hospital setting at 75.1% (95% CI 64.3–84.5); however, the prevalence of baseline ECG use was low in the non-hospital setting at 33.7% (95% CI 25.8–42.2). The prevalence of follow-up ECG use was low to moderate in the hospital setting at 39.2% (95% CI 28.2–50.8) and could not be determined for the non-hospital setting.

Conclusions

The use of ECG monitoring for high-risk QT interval prolonging medicines is strongly influenced by the clinical practice setting. Baseline ECG use occurs more in the hospital setting in comparison to the non-hospital setting. There is lower use of follow-up ECG in comparison to baseline ECG.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40264-022-01215-x.

Estimation of cardiac QTc intervals in people prescribed antipsychotics: a comparison of correction factors

BACKGROUND

A prolonged electrocardiogram (ECG) QT interval is associated with cardiac events and increased mortality. Antipsychotics can prolong the QT interval. The QT interval requires correction (QTc) for heart rate using a formula or QT-nomogram. The QT and QTc can be calculated automatically by the ECG machine or manually; however, machine-measured QT(c) intervals may be inaccurate.

OBJECTIVE

We aimed to investigate the mean QTc and proportion of prolonged QTc intervals in people taking antipsychotic medicines.

METHODS

We conducted an observational retrospective chart review and data analysis of all consecutive patients taking antipsychotics, with an ECG record, admitted to the psychiatric unit of a large tertiary hospital in Brisbane, Australia, between 1 January 2017 and 30 January 2019. We investigated the mean QTc of people taking antipsychotics to determine differences using (a) machine versus manual QT interval measurement and (b) QTc correction formulae (Bazett, Fridericia, Framingham, Hodges and Rautaharju) and the QT-nomogram. We also determined the number of people with a prolonged QTc using different methods and compared rates of prolonged QTc with antipsychotic monotherapy and polypharmacy.

RESULTS

Of 920 included people, the mean (±SD) machine-measured, Bazett-corrected QT interval (recorded from the ECG) was 435 ms (±27), significantly longer (p < 0.001) than the mean manually measured corrected QT intervals with Fridericia 394 ms (±24), Framingham 395 ms (±22), Hodges 398 ms (±22) and Rautaharju 400 ms (±24) formulae. There were significantly more people with a prolonged QTc using machine-measured QT and the Bazett formula (12.0%, 110/920) when compared with manually measured QT and the Fridericia formula (2.2%, 20/920) or QT-nomogram (0.7%, 6/920). Rates of QTc prolongation did not differ between people taking antipsychotic polypharmacy compared with monotherapy.

CONCLUSION

Machine-measured QTc using the Bazett formula overestimates the QTc interval length and number of people with a prolonged QTc, compared with other formulae and the QT-nomogram. We recommend manually measuring the QT and correcting with the Fridericia formula or QT-nomogram prior to modifying antipsychotic therapies.

Use of ECG monitoring for adult patients taking high-risk QT interval-prolonging drugs in clinical practice: a systematic review protocol

OBJECTIVE

The objective of this review is to determine the rates of electrocardiogram use in adult patients taking high-risk QT interval-prolonging drugs in clinical settings. This review will determine the extent of ECG monitoring being used to mitigate the risk of drug-induced QT prolongation.

INTRODUCTION

High-risk QT interval-prolonging drugs pose a well-established risk of cardiac arrhythmia, including torsades de pointes, among other serious long QT syndromes, which can be fatal. Detection and mitigation of QT prolongation involves use of electrocardiogram monitoring. This systematic review will present evidence for uptake of electrocardiogram monitoring in clinical practice to support the quality use of high-risk QT interval-prolonging drugs.

INCLUSION CRITERIA

Quantitative studies, published from 2004 that determine the rate of electrocardiogram monitoring before and during use of high-risk QT interval-prolonging drugs in adults 18 years or older, either in community or hospital settings, will be eligible for inclusion.

METHODS

CINAHL, Cochrane Library, Embase, and PubMed will be searched to identify published studies. EThOS, OpenGrey, and ProQuest Dissertations and Theses will be searched to identify unpublished studies. Conference abstracts will be excluded. There will be no restriction on country or language. Two reviewers will independently screen and select studies, assess methodological quality, and extract data. The JBI approach to systematic reviews of prevalence and incidence will be followed. Meta-analysis will be performed, if possible, and the Grading of Recommendations Assessment Development and Evaluation (GRADE) Summary of Findings presented.

Identification and management of cardiometabolic risk in subjects with schizophrenia spectrum disorders: A Delphi expert consensus study

BACKGROUND

Patients with schizophrenia spectrum disorders (SSD) have worse physical health and reduced life expectancy compared to the general population. In 2009, the European Psychiatric Association, the European Society of Cardiology and the European Association for the Study of Diabetes published a position paper aimed to improve cardiovascular and diabetes care in patients with severe mental illnesses. However, the initiative did not produce the expected results. Experts in SSD or in cardiovascular and metabolic diseases convened to identify main issues relevant to management of cardiometabolic risk factors in schizophrenia patients and to seek consensus through the Delphi method.

METHODS

The steering committee identified four topics: 1) cardiometabolic risk factors in schizophrenia patients; 2) cardiometabolic risk factors related to antipsychotic treatment; 3) differences in antipsychotic cardiometabolic profiles; 4) management of cardiometabolic risk. Twelve key statements were included in a Delphi questionnaire delivered to a panel of expert European psychiatrists.

RESULTS

Consensus was reached for all statements with positive agreement higher than 85% in the first round. European psychiatrists agreed on: 1) high cardiometabolic risk in patients with SSD, 2) importance of correct risk management of cardiometabolic diseases, from lifestyle modification to treatment of risk factors, including the choice of antipsychotic drugs with a favourable cardiometabolic profile. The expert panel identified the psychiatrist as the central coordinating figure of management, possibly assisted by other specialists and general practitioners.

CONCLUSIONS

This study demonstrates high level of agreement among European psychiatrists regarding the importance of cardiovascular risk assessment and management in subjects with SSD.

Physical health assessment and cardiometabolic monitoring practices across three adult mental health inpatient units - a retrospective cohort study

Australians with lived experience of mental illness die on average 10 or more years earlier than the general population. Cardiometabolic disorders, including cardiovascular disease and diabetes mellitus, are common causes of premature death in this cohort. Little is known about cardiometabolic monitoring practices in mental health inpatient units. The aim of this study was to examine the characteristics of cardiometabolic monitoring and physical health assessments of adult mental health consumers within the first 72 hours of admission to an inpatient unit. We implemented a retrospective descriptive exploratory design by medical record audit. Data were collected using a pre-validated audit tool, adapted with recent literature and policy, from a randomly selected sample of consumers admitted to three acute mental health adult inpatient units of a large Australian metropolitan health service in 2016. Of 228 consumers, the mean age was 37.5 (range 18-64) years and 51.3% were women. Cardiometabolic risks were common, yet most consumers received incomplete cardiometabolic monitoring. While few consumers (15%) were diagnosed with cardiometabolic comorbidities, 67.5% were prescribed psychotropic medications with high cardiometabolic risk. Compliance with recommended cardiometabolic monitoring varied considerably between risk factors: for example, blood pressure was measured in 56.1% of consumers, whereas waist circumference was never recorded. There were no statistically significant associations between cardiometabolic monitoring completion and sex or cardiometabolic risk. These findings demonstrate the need for increased education and awareness of cardiometabolic risk and identify a critical gap between physical health assessment practices and recommendations for this cohort.