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PREDICTIVE CLINICAL FACTORS FOR PAIN INTENSITY DUE TO KNEE OSTEOARTHRITIS IN THE ELDERLY: A MODELLING APPROACH
PREDICTIVE CLINICAL FACTORS FOR PAIN INTENSITY DUE TO KNEE OSTEOARTHRITIS IN THE ELDERLY: A MODELLING APPROACH
TAVARES, DANIELA REGINA BRANDAO; OKAZAKI, JANE ERIKA FRAZAO; SANTANA, MARCIA VALERIA ANDRADE; PINTO, ANA CAROLINA PEREIRA NUNES; GAZONI, FERNANDA MARTINS; TUTIYA, KARINA KURAOKA; PINTO, CAMILA BONIN; SANTOS, FANIA CRISTINA; FREGNI, FELIPE; TREVISANI, VIRGINIA FERNANDES MOCA
Pôster:
It has been suggested that peripheral and central sensitization are two of the underlying mechanisms in OA chronic pain. This study aims to evaluate the role of peripheral and central sensitization associated with clinical, radiological and functional assessments predicting pain intensity in symptomatic knee osteoarthritis (KOA) older patients.
Materials and methods
Cross-sectional data from 104 older individuals (60 years or more) diagnosed with unilateral or bilateral KOA, according to ACR criteria. Patients were eligible if they presented knee chronic pain (at least 6 months) scored 4 or more on a 0-10 numeric rating scale (NRS) and a defective endogenous pain-inhibitory system, defined as a reduction in NRS of less than 10% during a conditioned pain modulation (CPM) task. In our CPM paradigm, we measured pressure pain threshold (PPT) and pain intensity in the most painful knee and ipsilateral thenar region before and after the conditioning stimulus, which was cold water (10°C). We calculated the percentage change in PPT scores (named CPM-PPT) and in pain intensity (named CPM-P). Pain intensity was analyzed using the Brief Pain Inventory (BPI). We assessed radiological findings using Kellgren-Lawrence (KL) method, quality of life using the Short-Form 12, self-perceived health using a 0-10 visual analogic scale, depression using Beck Depression Inventory, disability using WOMAC, and a touch-test sensory evaluation using Von-Frey filaments. Statistical analysis was done using unpaired t-test, analyses of variance (ANOVA) test and multiple linear regression (backward method). Significance was set at 0.05.
Results
In our sample we had a majority of women (84.6%) with mean age of 73.9 ± 8.01. In terms of radiological evaluation, 42.57% had a severity level of 3-4 KL. One-way ANOVA showed BPI and CPM PPT in the hand were different between KL sublevels (p=0.01; p=0.041, respectively). Tukey post-roc test concluded that BPI was statistically significant higher in KL IV compared to KL I (p=0.01) and KL III (p=0.01); and also showed CPM response in the hand was worse in KL IV compared to KL I (0.026). Multiple linear regression demonstrated that BPI severity was predicted by WOMAC total score (p=0.023), self-perceived health (p=0.031), light touch sensibility on knee (p=0.044) and CPM PPT response in the hand (p=0.009), p=0.000, R2=0.225.
Conclusion
This exploratory study provides preliminary evidence that pain intensity, assessed by BPI scale in older population with at least moderate chronic pain due to knee osteoarthritis, may be predictable by WOMAC scores, self-perceived health, CPM-PPT response and light-touch sensibility on knee.
It has been suggested that peripheral and central sensitization are two of the underlying mechanisms in OA chronic pain. This study aims to evaluate the role of peripheral and central sensitization associated with clinical, radiological and functional assessments predicting pain intensity in symptomatic knee osteoarthritis (KOA) older patients.
Materials and methods
Cross-sectional data from 104 older individuals (60 years or more) diagnosed with unilateral or bilateral KOA, according to ACR criteria. Patients were eligible if they presented knee chronic pain (at least 6 months) scored 4 or more on a 0-10 numeric rating scale (NRS) and a defective endogenous pain-inhibitory system, defined as a reduction in NRS of less than 10% during a conditioned pain modulation (CPM) task. In our CPM paradigm, we measured pressure pain threshold (PPT) and pain intensity in the most painful knee and ipsilateral thenar region before and after the conditioning stimulus, which was cold water (10°C). We calculated the percentage change in PPT scores (named CPM-PPT) and in pain intensity (named CPM-P). Pain intensity was analyzed using the Brief Pain Inventory (BPI). We assessed radiological findings using Kellgren-Lawrence (KL) method, quality of life using the Short-Form 12, self-perceived health using a 0-10 visual analogic scale, depression using Beck Depression Inventory, disability using WOMAC, and a touch-test sensory evaluation using Von-Frey filaments. Statistical analysis was done using unpaired t-test, analyses of variance (ANOVA) test and multiple linear regression (backward method). Significance was set at 0.05.
Results
In our sample we had a majority of women (84.6%) with mean age of 73.9 ± 8.01. In terms of radiological evaluation, 42.57% had a severity level of 3-4 KL. One-way ANOVA showed BPI and CPM PPT in the hand were different between KL sublevels (p=0.01; p=0.041, respectively). Tukey post-roc test concluded that BPI was statistically significant higher in KL IV compared to KL I (p=0.01) and KL III (p=0.01); and also showed CPM response in the hand was worse in KL IV compared to KL I (0.026). Multiple linear regression demonstrated that BPI severity was predicted by WOMAC total score (p=0.023), self-perceived health (p=0.031), light touch sensibility on knee (p=0.044) and CPM PPT response in the hand (p=0.009), p=0.000, R2=0.225.
Conclusion
This exploratory study provides preliminary evidence that pain intensity, assessed by BPI scale in older population with at least moderate chronic pain due to knee osteoarthritis, may be predictable by WOMAC scores, self-perceived health, CPM-PPT response and light-touch sensibility on knee.
Palavras-chave:
DOI: 10.5151/sbr2019-538
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Como citar:
TAVARES, DANIELA REGINA BRANDAO; OKAZAKI, JANE ERIKA FRAZAO; SANTANA, MARCIA VALERIA ANDRADE; PINTO, ANA CAROLINA PEREIRA NUNES; GAZONI, FERNANDA MARTINS; TUTIYA, KARINA KURAOKA; PINTO, CAMILA BONIN; SANTOS, FANIA CRISTINA; FREGNI, FELIPE; TREVISANI, VIRGINIA FERNANDES MOCA; "PREDICTIVE CLINICAL FACTORS FOR PAIN INTENSITY DUE TO KNEE OSTEOARTHRITIS IN THE ELDERLY: A MODELLING APPROACH", p-538-538.
In: Anais do 36º Congresso Brasileiro de Reumatologia. [ISBN 978-85-212-1892-0].
São Paulo: Blucher,
2019.
ISSN 23577282,
DOI 10.5151/sbr2019-538
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TY - CONF T1 - PREDICTIVE CLINICAL FACTORS FOR PAIN INTENSITY DUE TO KNEE OSTEOARTHRITIS IN THE ELDERLY: A MODELLING APPROACH JO - Blucher Medical Proceedings VL - 1 IS - 5 SP - 538 EP - 538 PY - 2019 T2 - 36º Congresso Brasileiro de Reumatologia AU - , , , , , , , , , SN - 23577282 DO - http://dx.doi.org/10.5151/sbr2019-538 UR - www.proceedings.blucher.com.br/article-details/predictive-clinical-factors-for-pain-intensity-due-to-knee-osteoarthritis-in-the-elderly-a-modelling-approach-33030 KW - ER -
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@article{TAVARES20144,
title="PREDICTIVE CLINICAL FACTORS FOR PAIN INTENSITY DUE TO KNEE OSTEOARTHRITIS IN THE ELDERLY: A MODELLING APPROACH",
journal="Blucher Medical Proceedings",
volume="1",
number="5",
pages="538 - 538",
year="2019",
note="",
issn="23577282",
doi="http://dx.doi.org/10.5151/sbr2019-538",
url="www.proceedings.blucher.com.br/article-details/predictive-clinical-factors-for-pain-intensity-due-to-knee-osteoarthritis-in-the-elderly-a-modelling-approach-33030",
author="DANIELA REGINA BRANDAO TAVARES", "JANE ERIKA FRAZAO OKAZAKI", "MARCIA VALERIA ANDRADE SANTANA", "ANA CAROLINA PEREIRA NUNES PINTO", "FERNANDA MARTINS GAZONI", "KARINA KURAOKA TUTIYA", "CAMILA BONIN PINTO", "FANIA CRISTINA SANTOS", "FELIPE FREGNI", "VIRGINIA FERNANDES MOCA TREVISANI",
keywords="",
}
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DANIELA REGINA BRANDAO TAVARES, JANE ERIKA FRAZAO OKAZAKI, MARCIA VALERIA ANDRADE SANTANA, ANA CAROLINA PEREIRA NUNES PINTO, FERNANDA MARTINS GAZONI, KARINA KURAOKA TUTIYA, CAMILA BONIN PINTO, FANIA CRISTINA SANTOS, FELIPE FREGNI, VIRGINIA FERNANDES MOCA TREVISANI, PREDICTIVE CLINICAL FACTORS FOR PAIN INTENSITY DUE TO KNEE OSTEOARTHRITIS IN THE ELDERLY: A MODELLING APPROACH, Blucher Medical Proceedings, Volume 1, 2019, Pages 538-538, ISSN 23577282, http://dx.doi.org/10.5151/sbr2019-538 (www.proceedings.blucher.com.br/article-details/predictive-clinical-factors-for-pain-intensity-due-to-knee-osteoarthritis-in-the-elderly-a-modelling-approach-33030) Palavras-chave:: ;