30 research outputs found
Patient Safety and Risk Management in Mental Health
AbstractThis chapter will review the most common adverse events that happen in a psychiatric unit and the safety measures that are needed to decrease the risk of errors and adverse events. The adverse events and errors that may happen in a psychiatric unit are unique and will be examined in detail. This section will also highlight the role of staff members and patients in preventing or causing the error
Combinations of QT-prolonging drugs: towards disentangling pharmacokinetic and pharmaco-dynamic effects in their potentially additive nature.
Background: Whether arrhythmia risks will increase if drugs with electrocardiographic (ECG)
QT-prolonging properties are combined is generally supposed but not well studied. Based on
available evidence, the Arizona Center for Education and Research on Therapeutics (AZCERT)
classification defines the risk of QT prolongation for exposure to single drugs. We aimed to
investigate how combining AZCERT drug categories impacts QT duration and how relative drug
exposure affects the extent of pharmacodynamic drug–drug interactions.
Methods: In a cohort of 2558 psychiatric inpatients and outpatients, we modeled whether
AZCERT class and number of coprescribed QT-prolonging drugs correlates with observed
rate-corrected QT duration (QTc) while also considering age, sex, inpatient status, and other
QTc-prolonging risk factors. We concurrently considered administered drug doses and
pharmacokinetic interactions modulating drug clearance to calculate individual weights of
relative exposure with AZCERT drugs. Because QTc duration is concentration-dependent, we
estimated individual drug exposure with these drugs and included this information as weights
in weighted regression analyses.
Results: Drugs attributing a ‘known’ risk for clinical consequences were associated with the
largest QTc prolongations. However, the presence of at least two versus one QTc-prolonging
drug yielded nonsignificant prolongations [exposure-weighted parameter estimates with
95% confidence intervals for ‘known’ risk drugs + 0.93 ms (–8.88;10.75)]. Estimates for
the ‘conditional’ risk class increased upon refinement with relative drug exposure and coadministration of a ‘known’ risk drug as a further risk factor.
Conclusions: These observations indicate that indiscriminate combinations of QTc-prolonging
drugs do not necessarily result in additive QTc prolongation and suggest that QT prolongation
caused by drug combinations strongly depends on the nature of the combination partners and
individual drug exposure. Concurrently, it stresses the value of the AZCERT classification also
for the risk prediction of combination therapies with QT-prolonging drugs