Clinical Report: Creation and assessment of a predictive nomogram for POD
Overview
This study identifies key risk factors for postoperative delirium (POD) in cardiac surgery patients and develops a validated predictive nomogram. The model demonstrates excellent discriminative ability and strong clinical utility.
Background
Postoperative delirium (POD) is a common and serious complication following cardiac surgery, affecting cognitive function and increasing healthcare costs. Accurate risk assessment is crucial for timely interventions to mitigate its impact. This study addresses the need for a comprehensive predictive model that incorporates preoperative, intraoperative, and postoperative factors.
Data Highlights
Metric
Value
POD Incidence
39.4%
Training Cohort Size
507
Validation Cohort Size
217
Key Findings
POD occurred in 285 out of 724 patients (39.4%).
Key predictors of POD included emergency surgery, age, Sequential Organ Failure Assessment score, postoperative shock, and blood lactate and glucose levels.
The nomogram showed high area under the receiver operating characteristic curve (AUROC) indicating excellent discriminative ability.
Strong calibration agreement was observed in both training and validation datasets.
Decision curve analysis (DCA) and clinical impact curve (CIC) results indicated strong clinical utility of the nomogram.
Clinical Implications
The validated nomogram provides a practical tool for clinicians to predict the risk of POD in cardiac surgery patients. Understanding the identified risk factors can guide preoperative assessments and interventions.
Conclusion
This study successfully develops a predictive nomogram for POD, highlighting its potential as a valuable tool in clinical practice for cardiac surgery patients.
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