A Joint Model Based on Post-Treatment Longitudinal Prognostic Nutritional Index to Predict Survival in Nasopharyngeal Carcinoma
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View abstract on PubMed
Summary
This summary is machine-generated.Tracking changes in the prognostic nutritional index (PNI) over time improves survival prediction for nasopharyngeal cancer (NPC) patients. Regular PNI measurements are recommended for better patient outcomes.
Area Of Science
- Oncology
- Biostatistics
- Clinical Research
Background
- Low prognostic nutritional index (PNI) is associated with poor survival in nasopharyngeal cancer (NPC) patients.
- Previous studies primarily used single-timepoint PNI measurements.
- Longitudinal PNI data analysis is needed to understand its prognostic value better.
Purpose Of The Study
- To utilize joint modeling to analyze longitudinal PNI data from routine visits in NPC patients.
- To explore the relationship between longitudinal PNI and overall survival in NPC.
- To evaluate the prognostic value of dynamic PNI changes.
Main Methods
- Retrospective study using the Chang Gung Research Database (2007-2019).
- Inclusion of NPC patients undergoing curative treatment.
- Application of a joint model combining longitudinal and time-to-event sub-models to analyze PNI and survival.
Main Results
- Longitudinal PNI independently predicted reduced mortality risk (adjusted HR 0.813).
- Joint modeling confirmed PNI as a consistent survival predictor (HR 0.864).
- PNI below 38.1 significantly increased 90-day mortality risk (90.0% sensitivity, 89.6% specificity).
Conclusions
- Longitudinal PNI data is an independent predictor of overall survival in NPC patients.
- PNI measurements during clinic visits can significantly forecast 90-day survival outcomes.
- Routine PNI assessments are recommended for NPC patients.
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