A simple blood test taken before surgery may predict how quickly patients recover from their procedure, according to a study published in the December issue of the journal Anesthesiology.
According to the study, identifying a patient’s immune state from blood samples that are taken before surgery can reveal patterns that may predict speed of recovery from postoperative pain and dysfunction.
“Patients and physicians alike want to know how long pain and dysfunction will last after surgery, but the rate at which patients recover is highly variable and differs for every patient,” said Martin Angst, MD, Stanford University School of Medicine, Stanford, California.
“Our research indicates that we can capture important aspects of each individual patient’s biology that accurately predict how they will handle and recover from surgery,” he said. “This may ultimately enable us to provide personalised, cost-conscious approaches to aid recovery and have a major impact on perioperative medicine.”
For the study, the researchers examined whether inducing immune responses in pre-surgical blood samples correlated with the clinical recovery profile of 25 individual patients undergoing hip surgery. A patient’s pre-surgical immune state was identified in blood samples by inducing a signalling response, similar to the immune system’s response to surgery or trauma, across all major immune cell subsets found within the blood. The immune responses were then measured against outcomes contributing to prolonged recovery including postoperative pain, hip dysfunction, and disability.
Patients recovered at very different rates ranging from days to weeks and even months in extreme cases. The authors observed a significant correlation between patients’ pre-surgical immune states and their speed of recovery from pain and hip dysfunction after surgery, which accounted for nearly 50% of the variability associated with the speed at which patients recovered.
Although preoperative immune states were predictive of recovery across several domains including postsurgical pain and hip dysfunction, no significant correlation was observed regarding speed of recovery from fatigue and resulting disability.
The current study using a single blood sample was much more predictive of clinical recovery than demographic or psychological factors.
“Our ultimate goal is to develop a blood test that can assess key attributes of a patient’s immune system, be applied to daily clinical practice, be performed in regular clinical laboratories and be predictive of an individual patient’s recovery profile,” said Dr. Angst. “Predictions could be used to counsel patients and manage their expectations or to stratify them prior to surgery by assigning patients at risk of slow recovery into pre-habilitation programs or postponing surgery.”
In an accompanying editorial, James C. Eisenach, MD, Wake Forest University, Winston-Salem, North Carolina, wrote: “The current study represents an important step forward in the prediction and potential manipulation of speed of recovery. This work will likely spur research to determine whether a high-risk group can be easily identified for interventional trials and whether preoperative or postoperative immune modulation, such as with glucocorticoids, might speed recovery.”