ObjectiveTo develop and validate a prognostic model to assess mortality risk at 24 months in patients with advanced chronic conditions.MethodsRetrospective design based on a previous population cohort study with 789 adults who were identified with the surprise question and NECPAL tool from primary and intermediate care centres, nursing homes and one acute hospital of Spain. A Cox regression model was used to derive a mortality predictive model based on patients’ age and six previously selected NECPAL prognostic factors (palliative care need identified by healthcare professionals, functional decline, nutritional decline, multimorbidity, use of resources, disease-specific criteria of severity/progression). Patients were split into derivation/validation cohorts, and four steps were followed: descriptive analysis, predictors’ assessment, model estimation and model assessment.ResultsAll predictive variables were independently associated with increased risk of mortality at 24 months. Performance model including age was good; discrimination power by area under the curve (AUC) was 0.72/0.67 in the derivation/validation cohorts, and correlation between expected and observed (E/O) mortality ratio was 0.74/0.70. The model showed similar performance across settings (AUC 0.65–0.74, E/O 1.00–1.01), the best performance in oncological patients (AUC 0.78, E/O 0.76) and the worst in dementia patients (AUC 0.58, E/O 0.85). Based on the number of factors affected, three prognostic stages with significant differences and a median survival of 38, 17.2 and 3.6 months (p<0.001) were defined.ConclusionThe NECPAL prognostic tool is accurate and eventually useful at the clinical practice. Stratification in risk groups may enable early intervention and enhance policy-making and service planning.

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ObjectiveTo develop a proposal for a 2-year mortality prognostic approach for patients with advanced chronic conditions based on the palliative care need (PCN) items of the NECesidades PALiativas (NECPAL) CCOMS-ICO V.3.1 2017 tool.MethodsA phase 1 study using three components based on the NECPAL items: (1) a rapid review of systematic reviews (SRs) on prognostic factors of mortality in patients with advanced chronic diseases and PCNs; (2) a clinician and statistician experts' consensus based on the Delphi technique on the selection of mortality prognostic factors; and (3) a panel meeting to discuss the findings of components (1) and (2).ResultsTwenty SRs were included in a rapid review, and 50% were considered of moderate quality. Despite methodological issues, nutritional and functional decline, severe and refractory dyspnoea, multimorbidity, use of resources and specific disease indicators were found to be potentially prognostic variables for mortality across four clinical groups and end-of-life (EoL) trajectories: cancer, dementia and neurologic diseases, chronic organ failure and frailty. Experts’ consensus added ‘needs’ identified by health professionals. However, clinicians were less able to discriminate which NECPAL items were more reliable for a ‘general’ model. A retrospective cohort study was designed to evaluate this proposal in phase 2.ConclusionsWe identified several parameters with prognostic value and linked them to the tool’s utility to timely identify PCNs of patients with advanced chronic conditions in all settings of care. Initial results show this is a clinical and feasible tool, that will help with clinical pragmatic decision-making and to define services.