Online Tool Predicts Complications From Hysterectomy

An online prediction tool provides personalized risk estimates to help clinicians and patients choose between laparoscopic and abdominal surgery for hysterectomy for benign disease.

The tool, which integrates 11 routinely available predictors, had "acceptable" predictive ability and "moderate" discrimination.

"The overall numbers of hysterectomies are declining, and there are also more surgeons with smaller caseloads in the United Kingdom, and we felt the tool might help surgeons advocate for things that may make surgery safer," PhD student Krupa Madhvani, consultant obstetrician and gynecologist at the Royal London Hospital, UK, told Medscape Medical News. "These things include extra [operating room] time, extra surgical expertise, referral to regional centers, and robotic surgery for more complex cases, which is usually reserved for cancer cases in the UK.”

The tool, which includes models for laparoscopic and abdominal surgery, is available online.

The study was published Oct. 3 in the Canadian Medical Association Journal.

Adhesions Strongest Predictor

Madhvani and colleagues analyzed routinely collected data from the English National Health System from 2011 to 2018. They identified major complications of laparoscopic and open abdominal surgery for hysterectomy for benign disease based on postoperative outcomes. After exclusions for malignancy and other factors, data from 68,599 patients who underwent laparoscopic hysterectomy and 125,971 patients who underwent abdominal hysterectomy were included in the models.

Multivariable logistic regression prediction models were based on the following 11 predictors: age, ethnicity, obesity, diabetes, fibroids, menstrual disorders, endometriosis or pain, adenomyosis, benign adnexal mass, adhesions, and other.

Major complications occurred in 4.4% of laparoscopic and 4.9% of abdominal hysterectomies. The models showed consistent discrimination in the development cohort (C-statistic: laparoscopic, 0.61; abdominal, 0.67), and similar or better discrimination in the validation cohort (C-statistic: 0.67 for both).

Adhesions were the strongest predictor of complications in both models.

In the laparoscopic model, adhesions (adjusted odds ratio [aOR], 1.92) and adenomyosis (aOR, 1.46) were associated with increased risk of major complications. By contrast, menstrual disorders (aOR, 0.75), benign adnexal masses (aOR, 0.85), and other gynecologic diagnoses at the time of hysterectomy (aOR, 0.87) were associated with protection against major complications.

In the abdominal model, adhesions (aOR, 2.46), Asian ethnicity (aOR, 1.40), and diabetes (aOR, 1.16) were associated with increased complication risk. Protective factors included benign adnexal masses (aOR, 0.79), fibroids (aOR 0.75), menstrual disorders (aOR, 0.52), and other gynecological disorders (aOR, 0.78).

The authors write, "Although a surgeon's experience and expert opinion carries utility, it cannot be used solely to guide risk management… Our models could be useful tools to stratify risk."

Madhvani added, "The next steps would be to see how the individual experience of the surgeon can improve this model. Evidence from observational studies shows that this has an impact on conversations from laparoscopy to laparotomy and complications."

She suggested that clinicians "explore the tool to see if the risk prediction matches your own intuition when estimating the risk of complications for patients on an individual level." 

Clinically Useful?

Commenting on the study for Medscape, Jonathan Schaffir, MD, medical director of the Obstetrics and Gynecology Outpatient Clinic at Ohio State University Wexner Medical Center in Columbus, said that the tool will not significantly aid counseling for patients who are undergoing hysterectomy. Schaffir was not involved in the research.

It is important that patients understand the risks of surgery, he said. "But it is unlikely that a numerical value for the rate of complications will significantly affect the choice to have surgery. The recommendation for surgery and the decision as to the best route is dependent on many individualized factors that are not covered by this tool, and ultimately each person undergoing hysterectomy will have to make the decision for herself whether perceived benefits outweigh the risks."

For example, he noted, "The authors do not consider thromboembolism or wound infections treated with antibiotics to be complications in this algorithm. These are some of the most common complications that we see, so I would certainly want my patients to know their risks of these issues in advance."

In addition, he said, "some factors that are examined as a risk are poorly defined. Obesity was a yes or no response, but clearly the complication rate is much higher for a woman with class III obesity, compared with a woman who is slightly obese. Similarly, fibroids are placed in a single category, but the difference in doing surgery for a woman with small incidental fibroids vs one whose fibroids make her look seven months pregnant is vast and would be expected to have very different risks."

In the study, fibroids were associated with a protective effect, he added, "which does not make sense, given the significant distortion of anatomy that may be present with large fibroids."

"I would want to see more research of patient perceptions and opinions," Schaffir said. "Is there a risk value for which a particular set of patients would decline surgery? What information would they want to know that would persuade them to have one route of hysterectomy vs another? Unless there is a clear use for having a numerical prediction, I don't think the tool is practical."

Data acquisition was funded by the British Society for Gynaecological Endoscopy. Madhvani has received article processing fees from East London International Women’s Health Charity. Schaffir reported no relevant disclosures.

CMAJ. Published online Oct. 3, 2022. Full text.

Follow Marilynn Larkin on Twitter: @MarilynnL.

For more news, follow Medscape on  Facebook,   Twitter,   Instagram, and  YouTube.

Credits:
Lead image: DigitalVision/Getty Images
Image 1: Queen Mary University of London
Image 2: Ohio State University Wexner Medical Center

Medscape Medical News © 2022 

Cite this: Online Tool Predicts Complications From Hysterectomy - Medscape - Oct 04, 2022.