We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App




Easy-To-Use Online Tool Predicts Complications in Patients Undergoing Hysterectomy

By HospiMedica International staff writers
Posted on 04 Oct 2022
Print article
Image: An online tools provides personalized risk estimates for patients undergoing hysterectomy (Photo courtesy of Pexels)
Image: An online tools provides personalized risk estimates for patients undergoing hysterectomy (Photo courtesy of Pexels)

Hysterectomy is one of the most common surgical procedures, with one-third of women in Canada undergoing this procedure before age 60. Laparoscopic hysterectomies are being performed more frequently as they are less invasive than abdominal surgery. Current practice entails that surgeons discuss benefits of the type of procedure and risks of complications with patients. Researchers have now developed easy-to-use online prediction tools that provide personalized risk estimates for patients undergoing hysterectomy for benign disease.

Researchers from the Queen Mary University of London (London, UK) developed and tested prediction models with the aim of supplementing a surgeon's expert opinion about which patients might be at risk of complications from hysterectomy. Complications of hysterectomies may include ureteric, gastrointestinal and vascular injury as well as wound complications. The authors used data from the English National Health Service (NHS) on 68,599 women who had laparoscopic hysterectomies and 125,971 women who had abdominal hysterectomies between 2011 and 2018.

Using 11 predictors, such as age, body mass index and diabetes, the researchers also included ethnicity as a potential risk factor, categorizing patients' self-described ethnicity linked to a recent census. They found women of Asian background were at higher risk of major complications after abdominal hysterectomy compared with women who were white, although the risk was not associated with laparoscopy. The most significant risk factor for major complications in both procedures were the presence of adhesions, which is consistent with existing evidence.

"Historically, a surgeon's gut feeling has been shown to be a good indicator of postoperative outcomes; however, an expert opinion is the lowest value in evidence-based medicine," said Dr. Krupa Madhvani, Queen Mary University of London. "Although a surgeon's experience and expert opinion carries utility, it cannot be used solely to guide risk management. In Canada and globally, the overall rate of hysterectomy for benign disease is declining, and more patients are undergoing surgery by lower-volume surgeons, who may not have expertise in every procedure."

Related Links:
Queen Mary University of London 

Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Single Cavity Combination Warmer
EC550BL

Print article
Detecto

Channels

Critical Care

view channel
Image: Detecting heart diseases using AI and the ECG (Photo courtesy of 123RF)

AI Technology Boosts ECG Capabilities for Early Heart Disease Diagnosis

Cardiovascular diseases often remain undetected until a critical event like a heart attack or stroke occurs. Early identification is key to improving outcomes, but the absence of clear symptoms complicates... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The new eye-safe laser technology can diagnose traumatic brain injury (Photo courtesy of 123RF)

Novel Diagnostic Hand-Held Device Detects Known Biomarkers for Traumatic Brain Injury

The growing need for prompt and efficient diagnosis of traumatic brain injury (TBI), a major cause of mortality globally, has spurred the development of innovative diagnostic technologies.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.