Background and Objectives: The improved life expectancy was associated to the increased in the incidence of hip fractures among elderly people. Subjects suffering hip fractures frequently show concomitant conditions causing prolonged lengths of stay and higher in-hospital mortality. The knowledge of factors associated to in-hospital mortality or adverse events can help healthcare providers improve patients' outcomes and management. The aim of this study was to develop a score to predict in-hospital mortality among hip fractured patients. Materials and Methods: Cases were selected from hospital admissions that occurred during the period 2006-2015 in Abruzzo region, Italy. The study population was split into two random samples in order to evaluate the accuracy of prediction models. A multivariate logistic regression was performed in order to identify factors associated to in-hospital mortality. All diagnoses significantly associated to in-hospital mortality were included in the final model. Results: The PRIMOF ranged between 0 and 27 and was divided into four risk categories to allow the score interpretation. An increase in odds ratio values with the increase in PRIMOF score was reported in both study groups. Conclusions: This study showed that a simple score based on the patient' clinical comorbidities was able to stratify the risk of hip-fractured patients in terms of in-hospital mortality.

Development and Validation of a New Tool in Predicting In-Hospital Mortality for Hip-Fractured Patients: The PRIMOF Score

Di Martino, Giuseppe
Primo
;
Di Giovanni, Pamela;Cedrone, Fabrizio;D'Addezio, Michela;Meo, Francesca;Scampoli, Piera;Romano, Ferdinando;Staniscia, Tommaso
2022-01-01

Abstract

Background and Objectives: The improved life expectancy was associated to the increased in the incidence of hip fractures among elderly people. Subjects suffering hip fractures frequently show concomitant conditions causing prolonged lengths of stay and higher in-hospital mortality. The knowledge of factors associated to in-hospital mortality or adverse events can help healthcare providers improve patients' outcomes and management. The aim of this study was to develop a score to predict in-hospital mortality among hip fractured patients. Materials and Methods: Cases were selected from hospital admissions that occurred during the period 2006-2015 in Abruzzo region, Italy. The study population was split into two random samples in order to evaluate the accuracy of prediction models. A multivariate logistic regression was performed in order to identify factors associated to in-hospital mortality. All diagnoses significantly associated to in-hospital mortality were included in the final model. Results: The PRIMOF ranged between 0 and 27 and was divided into four risk categories to allow the score interpretation. An increase in odds ratio values with the increase in PRIMOF score was reported in both study groups. Conclusions: This study showed that a simple score based on the patient' clinical comorbidities was able to stratify the risk of hip-fractured patients in terms of in-hospital mortality.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/788011
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