Prevalence, risk factors and impact of delirium in adult inpatients in a tertiary care hospital: A point prevalence study

Abstract

Aims

To describe the point prevalence, risk factors and possible outcomes of delirium in inpatients.

Design

A cross-sectional point prevalence study.

Background

Delirium is an acute brain syndrome that negatively affects patients, healthcare professionals and institutions alike; it is common in inpatient settings and is preventable in about one third of cases. Although guidelines recommend systematic screening and assessment, delirium is often unrecognised, undiagnosed and uncoded. There is a lack of valid data on this patient safety indicator in German-speaking countries.

Methods

The study was conducted in a tertiary care hospital in Switzerland on 5 July 2022. Specially trained registered nurses collected data from all patients meeting the inclusion criteria using CAM, ICDSC or mCAM-ED. Data were analysed descriptively with stratification by delirium status, setting and surgery.

Results

The point prevalence across all settings was 6.9% (27/390), with large variation between settings: ICU 28.6% (4/14), IMC 28.0% (7/25), wards 4.6% (15/326) and ED 4% (1/25). Surgical patients were almost twice as likely to be affected as medical patients (8.9% vs. 4.8%). Patients with delirium differed most clearly from those without by having a larger number of ICD-10 F-diagnoses, a larger number of medications and higher age, which are known risk factors. Moreover, those with delirium had more missed diagnoses, increased mortality, more adverse events and higher costs.

Conclusions

A significant number of patients experienced delirium and adverse clinical outcomes. Missed delirium diagnoses may further jeopardise patient safety and result in lost revenue. It remains unclear to what extent the risk factors and effects of delirium are causal and what determinants underlie missed diagnoses.

Relevance to Clinical Practice

Consistent identification of high-risk patients and treatment settings with elevated risk, accompanied by the implementation of effective preventive and management strategies, is critical to addressing delirium.

Prediction models of incontinence and sexual function one year after radical prostatectomy based on data from 20 164 prostate cancer patients

by Nora Tabea Sibert, Tobias Kurth, Clara Breidenbach, Simone Wesselmann, Günther Feick, Ernst-Günter Carl, Sebastian Dieng, Mohamad Hatem Albarghouth, Atiqullah Aziz, Stefan Baltes, Elisabeth Bartolf, Jens Bedke, Andreas Blana, Marko Brock, Stefan Conrad, Christopher Darr, Florian Distler, Konstantinos Drosos, Gregor Duwe, Amr Gaber, Markus Giessing, Nina Natascha Harke, Axel Heidenreich, Sameh Hijazi, Andreas Hinkel, Björn Theodor Kaftan, Shatlyk Kheiderov, Thomas Knoll, Gerd Lümmen, Inga Peters, Bülent Polat, Valentin Schrodi, Jens-Uwe Stolzenburg, Zoltan Varga, Julius von Süßkind-Schwendi, Vahudin Zugor, Christoph Kowalski

Incontinence and sexual dysfunction are long-lasting side effects after surgical treatment (radical prostatectomy, RP) of prostate cancer (PC). For an informed treatment decision, physicians and patients should discuss expected impairments. Therefore, this paper firstly aims to develop and validate prognostic models that predict incontinence and sexual function of PC patients one year after RP and secondly to provide an online decision making tool.

Observational cohorts of PC patients treated between July 2016 and March 2021 in Germany were used. Models to predict functional outcomes one year after RP measured by the EPIC-26 questionnaire were developed using lasso regression, 80–20 splitting of the data set and 10-fold cross validation. To assess performance, R², RMSE, analysis of residuals and calibration-in-the-large were applied. Final models were externally temporally validated. Additionally, percentages of functional impairment (pad use for incontinence and firmness of erection for sexual score) per score decile were calculated to be used together with the prediction models.

For model development and internal as well as external validation, samples of 11 355 and 8 809 patients were analysed. Results from the internal validation (incontinence: R² = 0.12, RMSE = 25.40, sexual function: R² = 0.23, RMSE = 21.44) were comparable with those of the external validation. Residual analysis and calibration-in-the-large showed good results. The prediction tool is freely accessible: https://nora-tabea.shinyapps.io/EPIC-26-Prediction/.

The final models showed appropriate predictive properties and can be used together with the calculated risks for specific functional impairments. Main strengths are the large study sample (> 20 000) and the inclusion of an external validation. The models incorporate meaningful and clinically available predictors ensuring an easy implementation. All predictions are displayed together with risks of frequent impairments such as pad use or erectile dysfunction such that the developed online tool provides a detailed and informative overview for clinicians as well as patients.