External validation of life expectancy prognostic models in patients evaluated for palliative radiotherapy at the end‐of‐life

Abstract

Background

The TEACHH and Chow models were developed to predict life expectancy (LE) in patients evaluated for palliative radiotherapy (PRT). We sought to validate the TEACHH and Chow models in patients who died within 90 days of PRT consultation.

Methods

A retrospective review was conducted on patients evaluated for PRT from 2017 to 2019 who died within 90 days of consultation. Data were collected for the TEACHH and Chow models; one point was assigned for each adverse factor. TEACHH model included: primary site of disease, ECOG performance status, age, prior palliative chemotherapy courses, hospitalization within the last 3 months, and presence of hepatic metastases; patients with 0‐1, 2‐4, and 5‐6 adverse factors were categorized into groups (A, B, and C). The Chow model included non‐breast primary, site of metastases other than bone only, and KPS; patients with 0‐1, 2, or 3 adverse factors were categorized into groups (I, II, and III).

Results

A total of 505 patients with a median overall survival of 2.1 months (IQR: 0.7‐2.6) were identified. Based on the TEACHH model, 10 (2.0%), 387 (76.6%), and 108 (21.4%) patients were predicted to live >1 year, >3 months to ≤1 year, and ≤3 months, respectively. Utilizing the Chow model, 108 (21.4%), 250 (49.5%), and 147 (29.1%) patients were expected to live 15.0, 6.5, and 2.3 months, respectively.

Conclusion

Neither the TEACHH nor Chow model correctly predict prognosis in a patient population with a survival <3 months. A better predictive tool is required to identify patients with short LE.

Abstract

In patients who died within 90 days of consultation for palliative radiotherapy, the TEACHH and Chow models inadequately identified patients at risk of short‐term mortality. Better prognostic models are required to minimize use of unnecessary oncologic treatments among patients seen at the end‐of‐life.