- The study suggests that changes of a specific gut bacterium, Parabacteroides distasonis, potentially link to postoperative delirium in elderly patients
- Targeting the gut microbiota could be a potential strategy for preventing and treating postoperative delirium in elderly patients
BOSTON: Postoperative delirium—a sudden, fluctuating and typically reversible disturbance of mental status in patients that occurs after anesthetized surgery—is a common postoperative complication. The causes, progression and biological signatures are largely unknown, however.
Now researchers at Massachusetts General Hospital (MGH), a founding member of Mass General Brigham, and colleagues have conducted a first-of-its-kind study that shows an association between gut microbiota and postoperative delirium. The study's findings were recently published in Translational Psychiatry.
Early studies in elderly mice found that anesthesia/surgery induced an age-dependent changes in postoperative gut microbiota and postoperative behavior, including postoperative delirium-like behavior.
In their current work, a clinical observational study conducted between 2016 and 2020 at MGH, a research team led by Yiying (Laura) Zhang, MD, PhD, collected fecal swabs from patients undergoing knee or hip replacement surgery or laminectomy under general or spinal anesthesia.
The team used 16S rRNA gene sequencing to assess gut microbiota then used a new method called Dimension-reduction Algorithm in Small Human-datasets (DASH) to analyze the relationship between gut microbiota and postoperative delirium.
The method combined statistical algorithms and domain expertise to filter through a large amount of data and accurately extract important signals.
In the 10% of patients who developed postoperative delirium, the researchers found that higher levels Parabacteroides distasonis—a bacterium associated with gut wall health that has a varying role in different diseases—was positively associated with postoperative delirium after adjusting for age and sex.
“DASH was especially helpful in a small dataset where data-driven methodology alone was not enough to find a connection between gut bacteria and postoperative delirium,” says Zhang, the lead and corresponding author of the study.
Zhang is an assistant investigator in the Department of Anesthesia, Critical Care and Pain Management at MGH and assistant professor of Anesthesia at Harvard Medical School.
“Given the small sample size and complex data structure, data-driven methodology alone was insufficient in finding the relationship between gut microbiota and postoperative delirium in patients,” says Wenyu Song, PhD, from the Department of Medicine at Brigham and Women's Hospital.
“These findings shed light on the possible pathogenesis of postoperative delirium, and may ultimately lead to the development of targeted interventions for better postoperative outcomes in elderly patients.” says senior author Zhongcong Xie, MD, PhD, a physician-investigator in Department of Anesthesia, Critical Care and Pain Medicine at Mass General and Henry Knowles Beecher Professor of Anaesthesia at Harvard Medical School
Additional co-authors are Kathryn Baldyga, Yuanlin Dong, Mirella Villanueva , Hao Deng, Ariel Mueller, Timothy T Houle from Massachusetts General Hospital, and Edward Marcantonio from Beth Israel Deaconess Medical Center. The study was supported by the National Institutes of Health, including the National Institutes of Aging.
About the Massachusetts General Hospital
Massachusetts General Hospital (MGH), founded in 1811, is the original and largest teaching hospital of Harvard Medical School. The Mass General Research Institute conducts the largest hospital-based research program in the nation, with annual research operations of more than $1 billion and comprises more than 9,500 researchers working across more than 30 institutes, centers and departments. In August 2021, Mass General was named #5 in the U.S. News & World Report list of "America’s Best Hospitals." MGH is a founding member of the Mass General Brigham healthcare system