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A Nomogram for Predicting Postoperative Delirium in Patients Undergoing Cardiac Surgery with Cardiopulmonary Bypass: Development and Internal Validation.

This study developed and internally validated a nomogram based on preoperative Montreal Cognitive Assessment scores and cardiopulmonary bypass duration to effectively predict postoperative delirium in adult cardiac surgery patients, demonstrating moderate discrimination and excellent calibration for early risk stratification.

Original authors: Dabing Huang, Jianfeng Zhao, Zhitao Li, Wei Wang, Shi Fu, Shuiqiao Fu, Haige Zhao

Published 2026-08-25
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Original authors: Dabing Huang, Jianfeng Zhao, Zhitao Li, Wei Wang, Shi Fu, Shuiqiao Fu, Haige Zhao

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

After a major heart operation, the brain can sometimes take a sharp, unexpected turn. Patients who were awake and alert before surgery may suddenly become confused, disoriented, or unable to focus. This condition, known as postoperative delirium, is not merely a temporary state of confusion; it is a serious disruption of the central nervous system that can prolong recovery, increase the risk of infection, and even affect long-term survival. While doctors have long known that the use of a heart-lung machine, which takes over the work of the heart and lungs during surgery, carries specific risks for the brain, predicting exactly who will develop this confusion has remained difficult. The challenge lies in separating the many factors that influence a patient's recovery—such as age, existing health conditions, and the length of the surgery—to find the few that truly matter most.

A team of researchers at the First Affiliated Hospital of Zhejiang University set out to solve this puzzle by looking closely at patients who underwent heart surgery with the help of a heart-lung machine. They studied 122 adults who had elective heart operations between February and August 2025. The goal was not just to list every possible risk factor, but to build a simple, practical tool that a doctor could use at the bedside to estimate a patient's risk of developing delirium before it happens. By examining medical records, the team tracked everything from the patient's pre-surgery cognitive state to the precise minutes the heart-lung machine was in use. They found that while many factors appeared to be linked to the condition in a broad look at the data, only two stood out as the true drivers of the risk.

The researchers discovered that the most powerful predictors were surprisingly simple to measure. The first was the patient's mental sharpness before the operation, assessed using a standard test called the Montreal Cognitive Assessment. This test checks for memory, attention, and language skills. The second factor was the duration of the surgery while the heart-lung machine was running. Patients who had lower scores on the cognitive test before surgery and those whose operations required the machine to run for a longer time were significantly more likely to develop delirium. While other variables, such as the patient's age, blood protein levels, and the amount of blood lost during surgery, showed a connection to the outcome in initial analyses, they did not hold up as independent causes when the researchers applied a rigorous statistical filter. The data suggested that the effects of age and other factors were largely captured by the two main predictors: the brain's pre-existing reserve and the length of the exposure to the surgical stress.

To make these findings useful for everyday practice, the team built a visual scoring chart, known as a nomogram. This tool allows a clinician to take a patient's pre-surgery cognitive score and the expected or actual time the heart-lung machine will be used, add them together, and instantly see a probability of the patient developing delirium. The model performed well, correctly distinguishing between patients who would and would not develop the condition with an AUC of 0.71, and it showed excellent accuracy in matching predicted risks with actual outcomes. The researchers noted that this simplicity is a strength; because the two required pieces of information are available before or immediately after surgery, the tool can be used quickly without needing complex lab tests or specialized equipment.

The study also shed light on why these two factors matter so much. The heart-lung machine, while life-saving, triggers a complex inflammatory response in the body that can affect the brain. The longer the machine runs, the more this stress accumulates. For a brain that is already vulnerable due to lower cognitive reserve, this added stress can tip the balance into delirium. The findings suggest that the key to prevention may lie in two areas: identifying patients with lower cognitive reserve before they enter the operating room and striving to minimize the time the heart-lung machine is active. The researchers acknowledged that their study was limited to a single hospital and a relatively small group of patients, meaning the tool needs to be tested in larger, diverse groups before it becomes a standard of care. However, the results offer a clear, grounded path forward, moving the medical community from reactive treatment of confusion toward proactive, personalized protection of the brain during one of the most demanding medical procedures.

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