Correlation Analysis of The Risk Factors for Pathological Fracture Using Mirels’ Classification in Long Bone Metastatic Disease

Abstract Background: Pathological fracture is one of the consequences from MBD, which can worsen the prognosis and can deplete the quality of patients lives. Looking at those effects, predicting the pathological fracture in MBD patients needs to be done. Objective: Determine the correlation of risk...

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Main Authors: Dania Raisya Safira, -, Rosy Setiawati, Rosy, Mouli Edward, Mouli, Sjahjenny Mustokoweni, Sjahjenny
Format: Article PeerReviewed
Language:English
Indonesian
English
Published: IJRP
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Online Access:https://repository.unair.ac.id/126965/1/04.%20artikel.pdf
https://repository.unair.ac.id/126965/2/4.%20karil.pdf
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https://repository.unair.ac.id/126965/
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https://doi.org/10.47119/IJRP10011411220224226
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spelling id-langga.1269652023-06-04T10:51:03Z https://repository.unair.ac.id/126965/ Correlation Analysis of The Risk Factors for Pathological Fracture Using Mirels’ Classification in Long Bone Metastatic Disease Dania Raisya Safira, - Rosy Setiawati, Rosy Mouli Edward, Mouli Sjahjenny Mustokoweni, Sjahjenny R5-920 Medicine (General) Abstract Background: Pathological fracture is one of the consequences from MBD, which can worsen the prognosis and can deplete the quality of patients lives. Looking at those effects, predicting the pathological fracture in MBD patients needs to be done. Objective: Determine the correlation of risk factors for pathological fractures in long bone metastatic disease and determine the accuracy of the Mirels scoring system. Method: This was a retrospective research based on the medical record data and x-ray photos of patients with long bone metastases at Dr. Soetomo General Academic Hospital in 2019-2021. We determined the correlation of risk factors by using the likelihood-ratio test. Result: Of the total of 39 long bone metastases cases, there were 28 cases (71.79%) followed by pathological fracture, and 11 of them (28.21%) were not. From the calculation of Mirels score, 36 cases had scores of ≥ 9 (impending), and 3 of them had scores of 8 (borderline). Most metastases were located in the lower extremities (48.7%), sized >2/3 cortex (48.7%), lytic type (79.5%), and with functional pain (82.1%). %). Conclusion: There was a correlation between the location of upper extremity lesions sized > 2/3 cortex, lytic type, and functional pain with the incidence of fracture (p < 0,05) and the percentage of Mirels scoring system accuracy in predicting the incidence of pathological fractures was 66.67%. IJRP Article PeerReviewed text en https://repository.unair.ac.id/126965/1/04.%20artikel.pdf text id https://repository.unair.ac.id/126965/2/4.%20karil.pdf text en https://repository.unair.ac.id/126965/3/04.%20turnitin.pdf Dania Raisya Safira, - and Rosy Setiawati, Rosy and Mouli Edward, Mouli and Sjahjenny Mustokoweni, Sjahjenny Correlation Analysis of The Risk Factors for Pathological Fracture Using Mirels’ Classification in Long Bone Metastatic Disease. International Journal of Research Publications, 14 (1). pp. 247-255. ISSN 2708-3578 https://ijrp.org/paper-detail/4205 https://doi.org/10.47119/IJRP10011411220224226
institution Universitas Airlangga
building Universitas Airlangga Library
continent Asia
country Indonesia
Indonesia
content_provider Universitas Airlangga Library
collection UNAIR Repository
language English
Indonesian
English
topic R5-920 Medicine (General)
spellingShingle R5-920 Medicine (General)
Dania Raisya Safira, -
Rosy Setiawati, Rosy
Mouli Edward, Mouli
Sjahjenny Mustokoweni, Sjahjenny
Correlation Analysis of The Risk Factors for Pathological Fracture Using Mirels’ Classification in Long Bone Metastatic Disease
description Abstract Background: Pathological fracture is one of the consequences from MBD, which can worsen the prognosis and can deplete the quality of patients lives. Looking at those effects, predicting the pathological fracture in MBD patients needs to be done. Objective: Determine the correlation of risk factors for pathological fractures in long bone metastatic disease and determine the accuracy of the Mirels scoring system. Method: This was a retrospective research based on the medical record data and x-ray photos of patients with long bone metastases at Dr. Soetomo General Academic Hospital in 2019-2021. We determined the correlation of risk factors by using the likelihood-ratio test. Result: Of the total of 39 long bone metastases cases, there were 28 cases (71.79%) followed by pathological fracture, and 11 of them (28.21%) were not. From the calculation of Mirels score, 36 cases had scores of ≥ 9 (impending), and 3 of them had scores of 8 (borderline). Most metastases were located in the lower extremities (48.7%), sized >2/3 cortex (48.7%), lytic type (79.5%), and with functional pain (82.1%). %). Conclusion: There was a correlation between the location of upper extremity lesions sized > 2/3 cortex, lytic type, and functional pain with the incidence of fracture (p < 0,05) and the percentage of Mirels scoring system accuracy in predicting the incidence of pathological fractures was 66.67%.
format Article
PeerReviewed
author Dania Raisya Safira, -
Rosy Setiawati, Rosy
Mouli Edward, Mouli
Sjahjenny Mustokoweni, Sjahjenny
author_facet Dania Raisya Safira, -
Rosy Setiawati, Rosy
Mouli Edward, Mouli
Sjahjenny Mustokoweni, Sjahjenny
author_sort Dania Raisya Safira, -
title Correlation Analysis of The Risk Factors for Pathological Fracture Using Mirels’ Classification in Long Bone Metastatic Disease
title_short Correlation Analysis of The Risk Factors for Pathological Fracture Using Mirels’ Classification in Long Bone Metastatic Disease
title_full Correlation Analysis of The Risk Factors for Pathological Fracture Using Mirels’ Classification in Long Bone Metastatic Disease
title_fullStr Correlation Analysis of The Risk Factors for Pathological Fracture Using Mirels’ Classification in Long Bone Metastatic Disease
title_full_unstemmed Correlation Analysis of The Risk Factors for Pathological Fracture Using Mirels’ Classification in Long Bone Metastatic Disease
title_sort correlation analysis of the risk factors for pathological fracture using mirels’ classification in long bone metastatic disease
publisher IJRP
url https://repository.unair.ac.id/126965/1/04.%20artikel.pdf
https://repository.unair.ac.id/126965/2/4.%20karil.pdf
https://repository.unair.ac.id/126965/3/04.%20turnitin.pdf
https://repository.unair.ac.id/126965/
https://ijrp.org/paper-detail/4205
https://doi.org/10.47119/IJRP10011411220224226
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