Evaluation And Characterization Of Multimorbidity Profiles, Resource Consumption And Healthcare Needs In Extremely Elderly People

Objectives: Spanish population lifespan is one of the longest in the world. Moreover, it is known that elderly people have less chronic illnesses associated with aging. Our aims were to determine how Clinical Risk Group (CRG) predicts future use of healthcare resources in extremely elderly people without diabetes (T2DM) and to explore CRG correlation with health conditions.Design: Prospective cross-sectional study.Setting: Rio Hortega University Hospital.Participants: Hospitalized patients >80 years old without T2DM, during 2017.Main outcome measures: Mental status was evaluated using Pfeiffer test (SPMQS), Basic Activities of Daily Living (BADLs) and Instrumental Activities of Daily Living (IADLs) were estimated using the Older Americans Resources and Services questionnaire. Comorbidity was evaluated using Charlson index (CI) and health-related quality of life (HRQoL) with EuroQoL (EQ5D3L). CRG classification system was obtained from electronic clinical records. Data were analyzed using SPSS v.15.0.Results: In total, 305 patients were identified (59% women), mean age 88 +/- 5 and 38% were aged >90. Estimated HRQoLwas 0.43 +/- 0.33 for EQ5D3L-index-value. Mean dependence levelwas 6.2 +/- 5 for BADLs and 9.2 +/- 5 for IADLs. In total, 31.6% of patients had severe cognitive impairment with a mean score of 5.4 +/- 3.6 in SPMQS. In total, 30.2% of patients were categorized as G3, and presented high comorbidity more frequently than the rest. Corrected CI mean score was 6.2 +/- 1.7. Significant relationship was founded in survival time, number of admissions and CI score.Conclusions: Using predictive risk models like CRG is supposed to assess the complexity of morbidity but in our extremely elderly population partially fail in stratify and predict health resource consumption.