Outcome after surgery depends on both patient-related as well as procedure-related risks. Complications after surgery are a significant burden to patients and to the health system. A vast amount of often unstructured data from different sources are generated during surgery, which contain valuable information associated with outcome. Advances in computer hardware and machine learning now increasingly facilitate the development of prediction models in standardised, parametric, information-rich areas such as the perioperative setting. For the development and validation of risk scores and prediction models, high-fidelity data sources are required to arrive at meaningful and reliable predictions. However, data quality standards in retrospective studies are rarely met. Therefore, the prospective Heidelberg Perioperative Deep Data Registry and Biomaterial Bank (HeiPoDD - Registry and Bio Bank) was started to implement a clinical data base and a corresponding biobank merging the entirety of available clinical records.

The HeiPoDD - Registry and Bio Bank is a study-driven, prospective, single-centre observational registry data base and biomaterial bank. It contains data and material from eligible patients who give informed consent and undergo elective non-cardiac high-risk surgery at the surgical centre of the Heidelberg University Hospital. The screening for eligibility started in January 2022, with no maximum sample size specified in advance. Routine data are recorded and stored during hospital stay and potential readmissions within 90 days after index surgery. The data are merged with the potentially available genome, proteome, flow cytometry, and bio signal data. Endpoints are obtained from routine observations, stored data in the hospital information system and follow-up visits. Further, data and biological specimens from separate perioperative studies with the patients’ consent can be transferred into the HeiPoDD - Registry and Bio Bank as well. This large-scale data collection will allow the calculation of endpoint-specific prediction models using logistic regression models as well as machine learning models. The first 1040 patients included in the HeiPoDD - Registry and Bio Bank are also included in the HeiPoDD study.

The trial protocol and subsequent amendments were approved by the ethics committee of the University of Heidelberg (S-745/2021). Participating patients’ data will be entered only in pseudonymised form. Data and biomaterials will be kept for up to 30 years. The findings will be disseminated in peer-reviewed academic journals.

DRKS00025924, registered on 2021-11-12.

Sleep is a biological necessity with vital effects on all tissues and organs of the body. Preoperative sleep disturbance is associated with increased postoperative pain intensity and opioid consumption. Given that insomnia is a potentially modifiable risk factor, interventions targeting sleep prior to surgery may improve postoperative pain control and enhance key outcomes of recovery.

Promoting Sleep to Alleviate Pain-Arthroplasty (PROSAP-A) is a randomised, parallel group, two arm, controlled trial evaluating the effects of preoperative sleep-promotion on postoperative pain control, brain health and physical recovery. The main objective is to investigate whether preoperative insomnia treatment in patients scheduled to undergo total knee arthroplasty (TKA) or total hip arthroplasty (THA) may improve acute postoperative pain control. 100 adults with insomnia disorder (Insomnia Severity Index score >10 and confirmed Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria for persistent insomnia disorder), scheduled to undergo primary TKA or THA, will be randomised to preoperative cognitive behavioural therapy for insomnia (CBT-I) or an active comparator control intervention, sleep education therapy (SET). Both interventions will be delivered over 4 weeks in hybrid format through a digital self-guided platform in combination with weekly telehealth video sessions with a psychologist (CBT-I) or research nurse (SET). A video-assisted booster session will be provided 1–2 weeks postoperatively. The primary outcome measure is acute postoperative pain intensity, averaged over the first 7 postoperative days (POD). Secondary outcome measures include long-term postoperative pain control, changes in quantitative sensory testing variables (eg, temporal summation, conditioned pain modulation), sleep, cognition (eg, attention, memory, processing speed, executive function), mental health, health-related function, physical activity, quality of life and blood biomarkers. Participants will undergo on-site evaluation preoperative (preintervention and postintervention) and 6 months postoperative. Additional remote assessments will take place during POD1–7, 3 and 12 months postoperative.

The Swedish Ethical Review Authority has approved the PROSAP-A trial protocol. Results will be published in international peer-reviewed journals and summaries will be provided to funders and participants of the trial.

NCT06145516.