The Multidimensional Prognostic Index (MPI) for prognostic stratification of older hospitalised patients with Covid-19: a prospective observational cohort Study (MPI_Covid-19).
The study will investigate the applicability of the Multidimensional Prognostic Index (MPI) among hospitalised patients above the age of 65 years who are infected with COVID-19.
This observational, prospective, multicentre study is led by Prof. Priv.-Doz. Dr. Dr. M. Cristina Polidori Nelles of the Clinic II for Internal Medicine at the University of Cologne.
The MPI is a prognostic tool to determe short-term and long-term mortality risk. Multicentre studies have already shown that the MPI had excellent accuracy and calibration in predicting clinical outcomes during hospitalisation and its duration. To date, the MPI has been validated in over 50 international studies involving more than 54,000 older adults suffering from the most common chronic and acute age-related diseases associated with high mortality. Recently, it was demonstrated that the MPI can predict clinical outcome after non-invasive ventilation in patients with respiratory failure. Up to now, there are no studies on the use of the MPI to predict prognosis in older COVID-19 patients.
The MPI is calculated using information derived from a standardised comprehensive geriatric assessment in eight domains: basal and instrumental activities of daily living, cognitive status, risk of decubitus due to immobility, nutrition, multimorbidity, number of medications taken, living situation.
The primary objective of this study is to assess, if the MPI is able to predict 1) the ICU admission, and 2) the mortality in hospitals among older inpatients with a Covid-19 infection. Furthermore, it is assessed, if the MPI after three months can predict a) the duration of stay, b) rehospitalisation, c) admission to long-term care facilities, and/or d) mortality.