Effect of the machine learning-derived Hypotension Prediction Index (HPI) combined with diagnostic guidance versus standard care on depth and duration of intraoperative and postoperative hypotension in elective cardiac surgery patients: HYPE-2 - study protocol of a randomised clinical trial.

INTRODUCTION: Hypotension is common during cardiac surgery and often persists postoperatively in the intensive care unit (ICU). Still, treatment is mainly reactive, causing a delay in its management. The Hypotension Prediction Index (HPI) can predict hypotension with high accuracy. Using the HPI combined with a guidance protocol resulted in a significant reduction in the severity of hypotension in four non-cardiac surgery trials. This randomised trial aims to evaluate the effectiveness of the HPI in combination with a diagnostic guidance protocol on reducing the occurrence and severity of hypotension during coronary artery bypass grafting (CABG) surgery and subsequent ICU admission. METHODS AND ANALYSIS: This is a single-centre, randomised clinical trial in adult patients undergoing elective on-pump CABG surgery with a target mean arterial pressure of 65 mm Hg. One hundred and thirty patients will be randomly allocated in a 1:1 ratio to either the intervention or control group. In both groups, a HemoSphere patient monitor with embedded HPI software will be connected to the arterial line. In the intervention group, HPI values of 75 or above will initiate the diagnostic guidance protocol, both intraoperatively and postoperatively in the ICU during mechanical ventilation. In the control group, the HemoSphere patient monitor will be covered and silenced. The primary outcome is the time-weighted average of hypotension during the combined study phases. ETHICS AND DISSEMINATION: The medical research ethics committee and the institutional review board of the Amsterdam UMC, location AMC, the Netherlands, approved the trial protocol (NL76236.018.21). No publication restrictions apply, and the study results will be disseminated through a peer-reviewed journal. TRIAL REGISTRATION NUMBER: The Netherlands Trial Register (NL9449), ClinicalTrials.gov (NCT05821647).

Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review.

BACKGROUND: Machine learning (ML) is developing fast with promising prospects within medicine and already has several applications in perioperative care. We conducted a scoping review to examine the extent and potential limitations of ML implementation in perioperative anesthetic care, specifically in cardiac surgery patients. METHODS: We mapped the current literature by searching three databases: MEDLINE (Ovid), EMBASE (Ovid), and Cochrane Library. Articles were eligible if they reported on perioperative ML use in the field of cardiac surgery with relevance to anesthetic practices. Data on the applicability of ML and comparability to conventional statistical methods were extracted. RESULTS: Forty-six articles on ML relevant to the work of the anesthesiologist in cardiac surgery were identified. Three main categories emerged: (I) event and risk prediction, (II) hemodynamic monitoring, and (III) automation of echocardiography. Prediction models based on ML tend to behave similarly to conventional statistical methods. Using dynamic hemodynamic or ultrasound data in ML models, however, shifts the potential to promising results. CONCLUSIONS: ML in cardiac surgery is increasingly used in perioperative anesthetic management. The majority is used for prediction purposes similar to conventional clinical scores. Remarkable ML model performances are achieved when using real-time dynamic parameters. However, beneficial clinical outcomes of ML integration have yet to be determined. Nonetheless, the first steps introducing ML in perioperative anesthetic care for cardiac surgery have been taken.

Operative management versus non-operative management of rib fractures in flail chest injuries: a systematic review.

PURPOSE: Flail chest is a life-threatening complication of severe chest trauma with a mortality rate of up to 15 %. The standard non-operative management has high comorbidities with pneumonia and often leads to extended Intensive Care Unit (ICU) stay, due to insufficient respiratory function and complications. The aim of this literature study was to investigate how operative management improves patient care for adults with flail chest. METHODS: Randomized-controlled trials comparing operative management versus non-operative management of flail chest were included in this systematic review and meta-analysis. PubMed, Trip Database, and Google Scholar were used for study identification. We compared operative-to-non-operative management in adult flail chest patients. Mean difference and risk ratio for mortality, pneumonia rate, duration of mechanical ventilation, duration of ICU stay, duration of hospital stay, tracheostomy rate, and treatment costs were calculated by pooling these publication results. RESULTS: Three randomized-controlled trials were included in this systematic review. In total, there were 61 patients receiving operative management compared to 62 patients in the non-operative management group. A positive effect of surgical rib fracture fixation was observed for pneumonia rate [ES 0.5, 95 % CI (0.3, 0.7)], duration of mechanical ventilation (DMV) [ES -6.5 days 95 % CI (-11.9, -1.2)], duration of ICU stay [ES -5.2 days 95 % CI (-6.2, -4.2)], duration of hospital stay (DHS) [ES -11.4 days 95 % CI (-12.4, -10.4)], tracheostomy rate (TRCH) [ES 0.4, 95 % CI (0.2, 0.7)], and treatment costs (saving $9.968,00-14.443,00 per patient). No significant difference was noted in mortality rate [ES 0.6, 95 % CI (0.1, 2.4)] between the two treatment strategies. CONCLUSIONS: Despite the relatively small number of patients included, different methodologies and differences in presentation of outcomes, operative management of flail chest seems to be a promising treatment strategy that improves patients' outcomes in various ways. However, the effect on mortality rate remains inconclusive. Therefore, research should continue to explore operative management as a viable method for flail chest injuries.