4.5 Article

Development and validation of a prediction model for postoperative intensive care unit admission in patients with non-cardiac surgery

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Surgery

Postoperative Overtriage to an Intensive Care Unit Is Associated With Low Value of Care

Tyler M. Loftus et al.

Summary: Objective: To test the hypothesis that postoperative ICU admission for low-acuity surgical patients is associated with lower value of care compared with ward admission. Methods: A longitudinal cohort study was conducted where postoperative ICU admissions were classified as overtriaged or appropriately triaged. Results: The results showed that overtriaged admissions had increased total costs, no improvements in outcomes, and received low-value care.

ANNALS OF SURGERY (2023)

Editorial Material Critical Care Medicine

Admission to intensive care unit after major surgery

Fernando G. Zampieri et al.

INTENSIVE CARE MEDICINE (2023)

Article Anesthesiology

Association between early blood urea nitrogen-to-albumin ratio and one-year post-hospital mortality in critically ill surgical patients: a propensity score-matched study

Khoi Nguyen Nguyen et al.

Summary: Blood urea nitrogen to albumin ratio (BAR) is a predictor of short-term outcomes in critically ill patients, but its association with long-term outcomes in critically ill surgical patients is not well explored. This study found a significant association between high BAR and increased post-hospital mortality, particularly in female patients and those with fewer comorbidities. Therefore, BAR may be useful for risk stratification of long-term outcomes in patients discharged from surgical ICUs.

BMC ANESTHESIOLOGY (2023)

Article Cardiac & Cardiovascular Systems

A risk model to predict an unplanned admission to the intensive care unit following lung resection

Alessandro Brunelli et al.

Summary: The aim of this study was to develop a risk-adjusting model to stratify the risk of unplanned admission to the ICU following lung resection. A retrospective analysis of patients undergoing anatomical lung resections was performed, and variables associated with ICU admission were identified. A risk score was developed based on these variables, and patients were classified into different risk classes.

EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY (2022)

Article Surgery

Development and Validation of a Multivariable Prediction Model for Postoperative Intensive Care Unit Stay in a Broad Surgical Population

Paul D. Rozeboom et al.

Summary: The results of this decision analytical model study revealed that the SURPAS prediction model accurately predicted postoperative ICU use across a diverse surgical population. These results suggest that the SURPAS prediction model can be used to help with preoperative planning and resource allocation of limited ICU beds.

JAMA SURGERY (2022)

Article Surgery

Tanaka score predicts surgical intensive care admission following abdominal wall reconstruction

S. Said et al.

Summary: This study aims to predict postoperative surgical intensive care unit (SICU) admission following abdominal wall reconstruction by analyzing the volume ratio (VR) of the hernia sac to the abdominal cavity and other preoperative variables. The results show that a higher VR, male sex, history of chronic obstructive pulmonary disease, prior component separation, recurrent incisional hernia, and hernia grade 3 are associated with a higher likelihood of SICU admission.

HERNIA (2022)

Article Surgery

POTTER-ICU: An artificial intelligence smartphone-accessible tool to predict the need for intensive care after emergency surgery

Anthony Gebran et al.

Summary: This study developed a preoperative predictor using interpretable artificial intelligence technology to predict the need for postoperative intensive care unit admission in emergency surgery patients. The application showed excellent predictive performance and can assist in triaging patients and reducing failure to rescue.

SURGERY (2022)

Article Multidisciplinary Sciences

VitalDB, a high-fidelity multi-parameter vital signs database in surgical patients

Hyung-Chul Lee et al.

Summary: In modern anesthesia, multiple medical devices are used to monitor real-time vital signs for optimal patient care. However, interpreting the dynamic changes and correlations of biosignals is challenging. Advanced machine learning technologies have shown promise in biosignal analysis, but progress in this area is hindered by the lack of biosignal datasets. The VitalDB dataset, an open resource, provides high-resolution multi-parameter data from surgical patients for machine learning studies.

SCIENTIFIC DATA (2022)

Article Surgery

Predicting Unplanned Intensive Care Unit Admission for Trauma Patients: The CRASH Score

Louis Prado et al.

Summary: This study developed a novel scoring tool (CRASH score) to predict the risk of unplanned ICU admission for trauma patients. The score was derived using multiple factors such as patient demographics, comorbidities, and injuries. It was validated and found to be effective in predicting unplanned ICU admission. This tool can help healthcare providers determine the appropriate level of care for patients or identify at-risk individuals.

JOURNAL OF SURGICAL RESEARCH (2022)

Article Orthopedics

Which patients need critical care intervention after total joint arthroplasty?

P. M. Courtney et al.

BONE & JOINT JOURNAL (2015)

Article Respiratory System

Patterns of Daily Costs Differ for Medical and Surgical Intensive Care Unit Patients

Hayley B. Gershengorn et al.

ANNALS OF THE AMERICAN THORACIC SOCIETY (2015)

Article Surgery

Profile of Inpatient Operating Room Procedures in US Hospitals in 2007

Anne Elixhauser et al.

ARCHIVES OF SURGERY (2010)

Article Mathematical & Computational Biology

Selection of important variables and determination of functional form for continuous predictors in multivariable model building

Willi Sauerbrei et al.

STATISTICS IN MEDICINE (2007)

Article Critical Care Medicine

Daily cost of an intensive care unit day: The contribution of mechanical ventilation

JF Dasta et al.

CRITICAL CARE MEDICINE (2005)

Review Anesthesiology

Pathophysiology and clinical implications of perioperative fluid excess

K Holte et al.

BRITISH JOURNAL OF ANAESTHESIA (2002)