A Risk-Prediction Platform for Acute Kidney Injury and 30-Day Readmission After Colorectal Surgery.

INTRODUCTION: Few known risk factors for certain surgical complications are prospectively analyzed to ascertain their influence on outcomes. Health systems can use integrated machine-learning-derived algorithms to provide information regarding patients' risk status in real time and pair this data with interventions to improve outcomes. The purpose of this work was to evaluate whether real-time knowledge of patients' calculated risk status paired with a stratified intervention was associated with a reduction in acute kidney injury and 30-d readmission following colorectal surgery. METHODS: Unblinded, retrospective study, evaluating the impact of an electronic health record-integrated and autonomous algorithm-based clinical decision support tool (KelaHealth, San Francisco, California) on acute kidney injury and 30-d readmission following colorectal surgery at a single academic medical center between January 1, 2020, and December 31, 2020, relative to a propensity-matched historical cohort (2014-2018) prior to algorithm integration (January 11, 2019). RESULTS: 3617 patients underwent colorectal surgery during the control period and 665 underwent surgery during the treatment period; 1437 historical control patients were matched to 479 risk-based patients for the study. Utilization of the risk-based management platform was associated with a 2.5% decrease in the rate of acute kidney injury (11.3% to 8.8%) and 3.1% decrease in rate of readmissions (12% to 8.9%). CONCLUSIONS: In this study, we found significant reductions in postoperative acute kidney injury (AKI) and unplanned readmissions after the implementation of an algorithm based clinical decision support tool that risk-stratified populations and offered stratified interventions. This opens up an opportunity for further investigation in translating similar risk platform approaches across surgical specialties.

Deep Learning-Based Risk Model for Best Management of Closed Groin Incisions After Vascular Surgery.

BACKGROUND: Reduced surgical site infection (SSI) rates have been reported with use of closed incision negative pressure therapy (ciNPT) in high-risk patients. METHODS: A deep learning-based, risk-based prediction model was developed from a large national database of 72,435 patients who received infrainguinal vascular surgeries involving upper thigh/groin incisions. Patient demographics, histories, laboratory values, and other variables were inputs to the multilayered, adaptive model. The model was then retrospectively applied to a prospectively tracked single hospital data set of 370 similar patients undergoing vascular surgery, with ciNPT or control dressings applied over the closed incision at the surgeon's discretion. Objective predictive risk scores were generated for each patient and used to categorize patients as "high" or "low" predicted risk for SSI. RESULTS: Actual institutional cohort SSI rates were 10/148 (6.8%) and 28/134 (20.9%) for high-risk ciNPT versus control, respectively (P < 0.001), and 3/31 (9.7%) and 5/57 (8.8%) for low-risk ciNPT versus control, respectively (P = 0.99). Application of the model to the institutional cohort suggested that 205/370 (55.4%) patients were matched with their appropriate intervention over closed surgical incision (high risk with ciNPT or low risk with control), and 165/370 (44.6%) were inappropriately matched. With the model applied to the cohort, the predicted SSI rate with perfect utilization would be 27/370 (7.3%), versus 12.4% actual rate, with estimated cost savings of $231-$458 per patient. CONCLUSIONS: Compared with a subjective practice strategy, an objective risk-based strategy using prediction software may be associated with superior results in optimizing SSI rates and costs after vascular surgery.

Triangulating Methodologies from Software, Medicine and Human Factors Industries to Measure Usability and Clinical Efficacy of Medication Data Visualization in an Electronic Health Record System.

Within the last decade, use of Electronic Health Record (EHR) systems has become intimately integrated into healthcare practice in the United States. However, large gaps remain in the study of clinical usability and require rigorous and innovative approaches for testing usability principles. In this study, validated tools from the core functions that EHRs serve-software, medicine and human factors-were combined to holistically understand and objectively measure usability of medication data displays. The first phase of this study included 132 medical trainee participants who were randomized to one of two simulated EHR environments with either a medication list or a medication timeline visualization. Within these environments human-computer interaction metrics, clinical reasoning and situation awareness tests, and usability surveys captured their multi-faceted interactions. Results showed no statistically significant differences in the two displays from software and situation awareness perspectives, though there were higher statistically significant usability scores of the medication timeline (intervention) as compared to the medication list (control). This first phase of a novel design in triangulating methodologies revealed several limitations from which future experiments will be adjusted with hopes of yielding further insight and a generalizable testing platform for evolving EHR interfaces.

Survey of Current Practice Patterns in the Management of Frontal Sinus Fractures.

The management of frontal sinus fractures has evolved in the endoscopic era. The development of functional endoscopic sinus surgery (FESS) has been incorporated into management algorithms proposed by otolaryngologists, but the extent of its influence on plastic surgeons and oral and maxillofacial surgeons is heretofore unknown. A cross-sectional survey was performed to assess the practice pattern variations in frontal sinus fracture management across multiple surgical disciplines. A total of 298 surveys were reviewed. 33.5% were facial plastic surgeons with otolaryngology training, 25.8% general otolaryngologists, 25.5% plastic surgeons, and 15.1% oral and maxillofacial surgeons. 74.8% of respondents practiced in an academic setting. 61.7% felt endoscopic sinus surgery changed their management of frontal sinus fractures. 91.8% of respondents favored observation for uncomplicated, nondisplaced frontal sinus outflow tract fractures. 36.4% favored observation and 35.9% favored endoscopic sinus surgery for uncomplicated, displaced frontal sinus outflow tract fractures. For complicated, displaced frontal sinus outflow tract fractures, obliteration was more frequently favored by plastic surgeons and oral and maxillofacial surgeons than those with otolaryngology training. The utility of FESS in managing frontal sinus fractures appears to be recognized across multiple surgical disciplines.