Guided supportive care may benefit from predicting cancer treatment-induced toxicity—a methodology paper on utilization of nomograms to predict severe oral mucositis, Part I
Poolakkad S. Satheeshkumar, Joel B. Epstein, Deepshikha Kewlani, Roberto Pili

TL;DR
This paper introduces a nomogram tool to predict severe oral mucositis in patients undergoing stem cell transplants, helping identify those needing extra oral care.
Contribution
The paper presents a novel nomogram methodology for predicting severe oral mucositis in hematopoietic stem cell transplant patients.
Findings
Younger age, female gender, White race, TBI, and fluid/electrolyte disorders are associated with higher risk of oral mucositis.
Nomograms can effectively identify high-risk patients for targeted preventive oral care.
Similar risk trends were observed across autologous and allogenic HSCT cohorts.
Abstract
Patients undergoing hematopoietic stem cell transplantation (HSCT) should maintain oral hygiene to minimize mouth problems from the high-dose conditioning regimen. Utilizing risk prediction tools such as nomograms may be beneficial in predicting severe oral complications such as mucositis. A study was performed using the National Inpatient Samples Database 2018 to investigate individuals admitted to the hospital for autologous HSCT. The nomogram tool was employed to predict oral ulcerative mucositis (UM), utilizing a logistic regression model with the variables age, gender, race, total body irradiation (TBI), and fluid and electrolyte disorders (fed), and further we applied our findings in 2021 autologous HSCT cohorts and 2018 allogenic HSCT cohorts. A total of 1560 patients who encountered UM were identified among 10,700 patients who underwent HSCT. The analysis showed that a…
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Taxonomy
TopicsOral health in cancer treatment · Head and Neck Cancer Studies · Cancer Diagnosis and Treatment
