Impact of suspected adverse drug reactions on mortality and length of hospital stay in the hospitalised patients: a meta-analysis

A literature-based approach to predict continuous hospital length of stay in adult acute care patients using admission variables: A single university center experience

PURPOSE

To review the existing literature on predicting length of stay (LOS) and to apply the findings on a Real World Data example in a single hospital.

METHODS

Performing a literature review on PubMed and Embase, focusing on adults, acute conditions, and hospital-wide prediction of LOS, summarizing all the variables and statistical methods used to predict LOS. Then, we use this set of variables on a single university hospital and run an XGBoost model with Survival Cox regression on the LOS, as well as a logistic regression on binary LOS (cut-off at 4 days). Model metrics are the concordance index (c-index) and area under the curve (AUC).

RESULTS

After applying the search strategy and exclusion criteria, 57 articles are included in the study. The list of variables is long, but mostly non-clinical data are used in the existing literature. A wide range of statistical methods are used, with a recent trend toward machine learning models. The XGBoost model results for the Cox regression in a C-index of 0.87, and the logistic regression on binary LOS has an AUC of 0.94.

CONCLUSIONS

Many variables identified in the literature are not available at the time of admission, yet they are still used in models for predicting LOS. Machine learning has become the preferred statistical approach in recent studies, though mainly for binary LOS predictions. Based on the current literature, it remains challenging to derive a practical and high performing model for continuous LOS prediction.

Retrospective analysis of adverse drug reaction enquiries to a hospital drug information service: lessons to be learned to increase in-hospital drug safety

OBJECTIVES

Adverse drug reactions (ADRs) are a major drug safety concern and a frequent topic of enquiries to hospital drug information services. Our goal was to analyse these enquiries regarding background, complexity, nature of ADR, and involved drug classes to improve in-hospital drug safety.

METHODS

Retrospectively, ADR enquiries to a German university hospital pharmacy drug information 2018-2022 were analysed regarding enquirer (profession, medical specialty) and enquiry details (drugs, suspected ADR/enquiry prior to drug initiation, ADR system organ class, probable cause identified, and enquiry complexity).

KEY FINDINGS

Of 543 enquiries, 516 (95%) were asked by physicians, 493 (91%) patient-specific, 390 (71%) on suspected ADRs, and 153 (28%) prior to drug initiation. Enquiries originated frequently from internal medicine (74/13.6%), paediatrics (71/13.1%), neurology (70/12.9%), and haemato-oncology (62/11.4%). Most frequent ADRs were haematologic (94/17%) and hepatic (72/13%). The median number of drugs per enquiry was three (range 0-37), 209 (38%) enquiries referred to one specific drug, 165 (30%) concerned ≥11 drugs. A probable cause for suspected ADRs was identified in 75 (36%) enquiries concerning one drug and 155 (94%) with ≥11 drugs. Most frequent drugs were antineoplastic (54/25.8%), nervous-system-drugs (42/20.1%), and anti-infective (40/19.1%). Most enquiries (342/63%) were complex (multiple/specialist resources).

CONCLUSIONS

Enquiries were usually asked by physicians referring to suspected ADRs in specific clinical situations. A probable cause was identified in many cases pointing to a direct positive impact on patient care. Enquiries prior to drug initiation should be encouraged to increase drug safety. Information on main ADR effects and drug classes helps with targeted counselling.

Adverse clinical outcomes associated with drug-related hospitalizations in people with dementia

BACKGROUND

This study aimed to determine the clinical impact associated with adverse drug reactions (ADRs) in patients with dementia.

RESEARCH DESIGN AND METHODS

This case-control, propensity score-matched study utilized administrative data of people with dementia admitted to major public hospitals in Tasmania, Australia, from July 2010 to December 2019.

RESULTS

Acute renal failure constituted the most common ADR. The length of hospital stay was greater for people with an ADR index admission, versus non-ADR index admission (median [IQR]: 9 [4-18] versus 6 [2-12]; p < 0.001). In-hospital mortality and combined in-hospital and post-hospital mortality within 30, 60 and 90 days were higher for those whose index admission was ADR-related (in-hospital: HR 1.40, 95% CI 1.11-1.77, p-value <0.001; 30 days: HR 1.25, 95% CI 1.05-1.49, p-value <0.001; 60 days: HR 1.27, 95% CI 1.08-1.49, p-value <0.001; 90 days: HR 1.29, 95% CI 1.10-1.50, p-value <0.001). Subsequent ADR admission within 30, 60 and 90 days of index discharge was 9 to 10 times greater for people with dementia (30 days: OR 10.0, 95% CI 6.04-16.8, p-value <0.001; 60 days: OR 8.96, 95% CI 5.57-14.4, p-value <0.001; 90 days: OR 9.31, 95% CI 5.79-14.9, p-value <0.001).

CONCLUSION

Safe prescribing and vigilant monitoring of ADRs is pivotal to mitigate adverse outcomes in people with dementia.

STOPP/START criteria for potentially inappropriate medications/potential prescribing omissions in older people: uptake and clinical impact

INTRODUCTION

STOPP/START criteria for potentially inappropriate medications (PIMs, STOPP) and potential prescribing omissions (PPOs, START) have gained considerable interest and traction since they were first published in 2008. This review focuses on their uptake and impact in various clinical settings.

AREAS COVERED

STOPP/START criteria, now in their third iteration, are explicit criteria designed to facilitate detection of common and clinically important PIMs and PPOs during routine medication review in any clinical setting. We examine the influence of the criteria, particularly in clinical trials that focused on their impact on clinically relevant endpoints.

EXPERT OPINION

STOPP/START criteria are widely used in several countries within Europe and beyond for medication review and audit. As a discreet intervention, the criteria have been tested in several single-center and two large-scale multi-center clinical trials. The single-center trials indicate that STOPP/START criteria reduce polypharmacy, inappropriate prescribing, ADRs (adverse drug reactions), medication cost and falls. In contrast, the SENATOR and OPERAM multicentre trials did not demonstrate significant reduction in ADRs, all-cause mortality, drug-related hospital readmissions, nor any improvement in quality-of-life. Further clinical trials are required to examine whether STOPP/START criteria as an intervention can deliver significant clinical benefit in a reproducible manner in various clinical settings.