Prognostic value of orthogeriatric assessment parameters on mortality: a 2-year follow-up

INTRODUCTION: Since the arise of orthogeriatric co-management patients’ outcome and survival has improved. There are several assessment parameters that screen the precondition of orthogeriatric patients including mobility, activities of daily living, comorbidities, place of residence and need for care just to name a few. In a 2-year follow-up on an orthogeriatric co-managed ward the fracture-independent predictive value of typical assessment parameters and comorbidities on the associated mortality was examined. METHODS: All patients treated on an orthogeriatric co-managed ward from February 2014 to January 2015 were included. No fracture entity was preferred. Emphasis was set on following parameters: age, gender, Parker-Mobility Score (PMS), Barthel Index (BI), Charlson-Comorbidity Index (CCI), dementia, depression, sarcopenia, frequent falling, length of stay (LOS), care level (CL) and place of residence (POR). In a 2-year follow-up the patients’ death rates were acquired. SPSS (IBM Corp., Armonk, New York, USA) and Cox regression was used to univariately analyze the expression of the mentioned parameters and mortality course over 2 years from discharge. In a multivariate analysis intercorrelations and independent relationships were examined. RESULTS: A follow-up rate of 79.6% by assessing 661 patients was achieved. In the univariate analysis linear inverse correlation between PMS and BI and mortality and a linear positive correlation between CCI and higher mortality were observed. There was also a significant relationship between lower survival and age, dementia, sarcopenia, frequent falling, higher institutionalized place of residence and higher CL. No univariate correlation between 2-year mortality and gender, depression and LOS was found. In the multivariate Cox regression, the only independent risk factors remaining were lower PMS (HR: 1.81; 95%CI: 1.373–2.397), lower BI (HR: 1.64; 95%CI: 1.180–2.290) and higher age per year (HR: 1.04; 95%CI: 1.004–1.067). CONCLUSION: Age, PMS, BI, CCI, preexisting dementia, sarcopenia, frequent falling, POR and CL are univariate predictors of survival in the orthogeriatric context. An independency could only be found for PMS, BI and age in our multivariate model. This underlines the importance of preexisting mobility and capability of self-support for the patient’s outcome in terms of survival.