BACKGROUND

Older patients are increasingly showing multi-comorbidities, including advanced chronic diseases. When admitted to the emergency department (ED), the decision to pursue life-prolonging treatments or to initiate a palliative care approach is a challenge for clinicians. We test for the first time the diagnostic accuracy of the Supportive and Palliative Care Indicators Tool (SPICT) in the ED to identify older patients at risk of deteriorating and dying, and timely address palliative care needs.

METHODS

We conducted a prospective bicentric cohort study on 352 older patients (≥ 75 years) admitted to two EDs in Belgium between December 2019 and March 2020 and between August and November 2020. SPICT (French version, 2019) variables were collected during the patients' admission to the ED, along with socio-demographic, medical and functional data. The palliative profile was defined as a positive SPICT assessment. Survival, symptoms and health degradation (≥ 1 point in ADL Katz score or institutionalisation and death) were followed at 12 months by phone. Main accuracy measures were sensitivity, specificity and likelihood ratios (LR) as well as cox regression, survival analysis using the Kaplan Meier method, and ordinal regression.

RESULTS

Out of 352 patients included in the study (mean age 83 ± 5.5 years, 43% male), 167 patients (47%) had a positive SPICT profile. At one year follow up, SPICT positive patients presented significantly more health degradation (72%) compared with SPICT negative patients (35%, p < 0.001). SPICT positivity was correlated with 1-year health degradation (OR 4.9; p < 0.001). The sensitivity and specificity of SPICT to predict health degradation were 0.65 (95%CI, 0.57-0.73) and 0.72 (95%CI, 0.64-0.80) respectively, with a negative LR of 0.48 (95%CI, 0.38-0.60) and a positive LR of 2.37 (1.78-3.16). The survival time was shorter in SPICT positive patients than in SPICT negative ones (p < 0.001), the former having a higher 1-year mortality rate (HR = 4.21; p < 0.001).

CONCLUSIONS

SPICT successfully identifies older patients at high risk of health degradation and death. It can support emergency clinicians to identify older patients with a palliative profile and subsequently initiate a palliative care approach with a discussion on goals of care.