Research at PIPRA - our commitment to science & transparency

Our vision is to reduce the incidence and burden of delirium by delivering clinically validated tools. We are committed to achieving this through robust partnerships with clinical researchers, conducting rigorous clinical trials, publishing peer-reviewed studies, and fostering ongoing collaboration to drive innovation and impact.

Our publications

Development and validation of an international preoperative risk assessment model for postoperative delirium

Discover how data from 14 different sites were pooled and how we used best practices to create our postoperative delirium risk assessment model PIPRA. This paper also describes the first external validation in two sites with an AUC of 0.74.

by Dodsworth et al.

Published in: Age and Ageing

Benefits of an automated postoperative delirium risk prediction tool combined with non-pharmacological delirium prevention on delirium incidence and length of stay: a before–after analysis based on a quality improvement project

This pivotal paper describes the benefits of introducing PIPRA in combination with targeted prevention. It shows reduction of POD incidence by 29 % as well as reduction of length of stay and required nursing time

by Dodsworth et al.

Published in: Age and Ageing

Perioperative Factors Associated With Postoperative Delirium in Patients Undergoing Noncardiac Surgery – An Individual Patient Data Meta-Analysis

This paper describes the incredible collaborative approach of researchers all over the world combining their datasets to improve the understanding of postoperative delirium and to supply the data needed to build the PIPRA model.

Sadeghirad et al.

Published in: JAMA open

Preoperative prognostic factors associated with postoperative delirium in older people undergoing surgery: protocol for a systematic review and individual patient data meta-analysis

Everything we do follows best scientific and clinical practice and transparency. Here, we published the protocol for the data collection strategy. The protocol was created prior to data collection to reduce potential bias and follow highest scientific rigor.

Buchan et al.

Published in: Systematic Reviews

Prospective validation of the automated PIPRA multivariable prediction model for post-operative delirium on real-world data from a consecutive cohort of non-cardiac surgery inpatients

This publication describes an external validation, this time in a real-world setting. The performance of the algorithm remains highly robust at an AUC of 0.77, similar to the original validation study.

Reeve et al.

Published in: BMJ Health & Care Informatics

Independent publications

Cost effectiveness of adopting a postoperative delirium risk prediction tool with non-pharmacological delirium prevention interventions for surgical patients

This independent publication describes the cost-effectiveness of the implementation of PIPRA. It finds cost savings of 2.5M CHF (equivalent to 2.6M EUR) per 1000 PIPRA-screened patients for the hospital and 3M CHF for the overall healthcare system

Graves et al.

Published in: Age and Ageing

Our conference posters & presentations

One-size fits all? A secondary analysis of a controlled before-after study identifying patient groups benefitting most from delirium prevention.

This poster describes the effects of PIPRA-targeted prevention on length of stay and explores which patient groups benefit the most from preventive action.

Dodsworth et al. 2024, EDA

Long-term effects of an automated delirium risk assessment tool – the impact of PIPRA one year later

This presentation, given at the EDA 2024, discusses that the effects of PIPRA and the targeted prevention are sustained even one year after completion of the implementation.

Dodsworth et al. 2024, EDA

A systematic review and individual participant data meta-analysis to identify prognostic factors associated with delirium in hospitalised older adults

This poster is a call to participate in an individual participant data meta-analysis for non-surgical delirium

Furones Cuadrado et al. 2024, EDA

Machine vs Anaesthesiologist: who can predict delirium better?

Here, we describe the results of a prospective non-inferiority study, showing that PIPRA is at least as good as expert clinicians at predicting delirium

Schmutz et al. 2024, EDA

Developing a reliable quality indicator for delirium: meaningfully assessing incidence without penalizing good screening compliance

How can we tell if our delirium incidence is declining because of a successful rollout of a delirium program or because of a decline in screening? Explore the answer in this poster

Venturini et al. 2024, EDA

PIPRA’s POD risk prediction model can accurately discriminate patients at risk of POD before surgery

Take a look at an interim data analysis of a prospective, 4 center trial to externally validate PIPRA. The model is robust with AUC of 0.74

Schmutz et al. 2024, ADS

From 5 to 80% - how to hack compliance

Implementing a risk assessment software is not enough to prevent delirium. How can we ensure prevention takes place after a patient is flagged at risk? Read the key learnings of a quality improvement project here

Dodsworth et al. 2023, EDA

Perioperative predictors of postoperative delirium after non-cardiac surgery: An individual patient data meta-analysis

This poster summarizes the paper with the same name and shows the origin of the data used to create PIPRA

Dodsworth et al. 2023, EDA

Development and validation of an international preoperative risk assessment model for postoperative delirium

This poster describes the creation of PIPRA and an initial external validation with an AUC of 0.76

Dodsworth et al. 2022, EDA

Clinical trials and protocols

Stanford PIPRA Validation Study in an Elderly Orthopedic Population (PIPRA-ORTHO)

NCT06567574

Stanford ICU Delirium PIPRA Study (SIDPVS)

NCT06519890

Validation of a Risk Assessment Model for Postoperative Delirium Based on Artificial Intelligence

NCT05639348

Systematic review and individual patient data meta-analysis of preoperative prognostic factors associated with post-operative delirium in older people undergoing elective surgery

CRD42020171366

Join Us in Advancing Delirium Care

We’re always looking for passionate collaborators to help us with our goal of reducing the incidence and burden of delirium. Whether you’re a researcher, clinician, or healthcare innovator, let’s work together on exciting projects that make a difference.