App URL
https://apps.healthuniverse.com/jtk-nte-vsm
Status
Ready
Created On
Updated On
The 'Gupta Postoperative Respiratory Failure Risk Calculator' is designed for healthcare professionals. It calculates the Gupta Postoperative Respiratory Failure Risk, a predictive model for postoperative respiratory failure based on various patient and surgical parameters including age, functional status, presence of ascites, Chronic Obstructive Pulmonary Disease (COPD), systemic sepsis, and the type of surgery. The calculated risk score assists in risk stratification and decision-making for individualized patient management.

More details

Use Cases Limitations Evidence Owner's Insight
  • The Gupta Postoperative Respiratory Failure (PRF) Risk Score is used preoperatively to evaluate the risk of PRF, which is associated with significant morbidity and mortality. It is especially useful for surgical decision-making and obtaining informed consent from patients by providing an estimated risk of PRF​​.
  • Clinicians can utilize the risk score to simplify the informed consent process, providing patients with a clear understanding of their individual risk of PRF before surgery​​.
  • It can also be employed for logistical planning, such as reserving ICU beds for patients deemed at risk​​.
  • The risk factors analyzed are limited to those recorded by the American College of Surgeons National Surgical Quality Improvement Program (NSQIP). Certain comorbidities like obstructive sleep apnea and a history of venous thromboembolism, which could be relevant, were not included in the data set​​.
  • The risk score may be less straightforward for some users to implement compared to a point system, but it provides a precise model-based estimate of PRF probability for a patient​​.
  • The risk model used to develop the app was based on a study that utilized the NSQIP data set from 2007 as the training set and the data set from 2008 for validation. It identified five preoperative predictors of PRF: type of surgery, emergency case, dependent functional status, preoperative sepsis, and higher American Society of Anesthesiologists (ASA) class​​.
  • The app's risk model has demonstrated excellent predictive performance with a c-statistic of around 0.894 to 0.897, suggesting high accuracy in predicting PRF​​.
  • The developers of the Gupta PRF Risk Score emphasize the importance of estimating PRF risk and preoperative optimization to improve patient outcomes. They believe that the risk calculator will find widespread use and assist physicians and surgeons in making informed clinical decisions​​.
  • The tool was created to aid in the informed consent process by providing an individualized assessment of PRF risk, thereby enhancing patient-centered care​​.
Peer reviewed

Warning: This application or model has been peer reviewed, but still may occasionally produce unsafe outputs.

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  • Clinical Informatics

Owner

Venkata Chengalvala

Member since