A nomogram prognostic model for diffuse large B-cell lymphoma based on SUVmax and GNRI in elderly patients
To establish a nomogram for elderly patients with diffuse large B-cell lymphoma (DLBCL) based on nutritional and imaging features. The data of 221 elderly pretreatment DLBCL patients were retrospectively analyzed. All cases were randomly separated into the training group and validation group. A nomo...
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Published in | EJHaem Vol. 4; no. 4; pp. 1030 - 1041 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
United States
John Wiley & Sons, Inc
01.11.2023
Wiley |
Subjects | |
Online Access | Get full text |
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Summary: | To establish a nomogram for elderly patients with diffuse large B-cell lymphoma (DLBCL) based on nutritional and imaging features. The data of 221 elderly pretreatment DLBCL patients were retrospectively analyzed. All cases were randomly separated into the training group and validation group. A nomogram was built based on the results of multivariate analysis. A nomogram was established based on maximum standardized uptake value (SUVmax), geriatric nutritional risk index (GNRI), and lactate dehydrogenase. The concordance index (C-index) of the nomogram was 0.772 for the training group and 0.729 for the validation group, and similar results were found in the area under the curve (AUC). The calibration curve showed favorable consistency between prediction and real survival. The decision curve analysis (DCA) also showed that the nomogram had favorable clinical effectiveness. The new risk-stratification model divided patients into three groups with obvious survival. The C-index and AUCs for the new model were greater than those of IPI and NCCN-IPI. The DCA curve suggested that the new model had better clinical effectiveness than the IPI and NCCN-IPI. The nomogram prognostic model based on SUVmax and GNRI performed superior to NCCN-IPI and equal to IPI for risk stratification of elderly DLBCL patients. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2688-6146 2688-6146 |
DOI: | 10.1002/jha2.794 |