Title |
Combined use of the multidimensional prognostic index (MPI) and procalcitonin serum levels in predicting 1-month mortality risk in older patients hospitalized with community-acquired pneumonia (CAP): a prospective study
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Published in |
Aging Clinical and Experimental Research, April 2017
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DOI | 10.1007/s40520-017-0759-y |
Pubmed ID | |
Authors |
Alberto Pilotto, Simone Dini, Julia Daragjati, Manuela Miolo, Monica Maria Mion, Andrea Fontana, Mario Lo Storto, Martina Zaninotto, Alberto Cella, Paolo Carraro, Filomena Addante, Massimiliano Copetti, Mario Plebani |
Abstract |
Several scores and biomarkers, i.e., procalcitonin (PCT), were proposed to stratify the mortality risk in community-acquired pneumonia (CAP). Evaluating prognostic accuracy of PCT and Multidimensional Prognostic Index (MPI) for 1-month mortality risk in older patients with CAP. At hospital admission and at discharge, patients were evaluated by a Comprehensive Geriatric Assessment to calculate MPI. Serum PCT was measured at admission and 1, 3, and 5 days after hospital admission. 49 patients were enrolled. The overall 1-month mortality was 44.5 for 100-persons year. Mortality rates were higher with the increasing of MPI. In survived patients, MPI at discharge showed higher predictive accuracy than MPI at admission. Adding PCT levels to admission MPI prognostic accuracy for 1-month mortality significantly increased. In older patients with CAP, MPI significantly predicted 1 month mortality. PCT levels significantly improved the accuracy of MPI at admission in predicting 1-month mortality. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Peru | 1 | 25% |
Spain | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 3 | 11% |
Researcher | 3 | 11% |
Student > Ph. D. Student | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Student > Master | 2 | 7% |
Other | 1 | 4% |
Unknown | 14 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 26% |
Biochemistry, Genetics and Molecular Biology | 3 | 11% |
Nursing and Health Professions | 2 | 7% |
Engineering | 1 | 4% |
Unknown | 14 | 52% |