Brazilian Journal of Pain
https://brjp.org.br/article/doi/10.5935/2595-0118.20230003-en
Brazilian Journal of Pain
Original Article

Relationship between the Widespread Pain Index and the PainMAP software for pain sites measurement in patients with Widespread Pain

Relação entre o Índice de Dor Espalhada e o software PainMAP para medida de localização da dor em pacientes com dor espalhada

Juliana Valentim Bittencourt; Jéssica Pinto Martins do Rio; Leticia Amaral Corrêa; Felipe José Jandre dos Reis; Arthur de Sá Ferreira; Leandro Alberto Calazans Nogueira

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Abstract

BACKGROUND AND OBJECTIVES: Identifying pain sites is essential to managing patients with Widespread Pain. Several instruments have been developed, including pain drawings, a grid system and computerized methods. However, it is not yet known whether the Widespread Pain Index matches an automated method (painMAP) for quantifying the number of pain areas. Therefore, this study aimed to identify the relationship between the Widespread Pain Index and the painMAP software to measure pain sites in participants with Widespread Pain.
METHODS: A pre-planned secondary analysis of data collected from 311 patients with musculoskeletal pain was conducted. The Widespread Pain Index and the painMAP software assessed pain sites. Spearman’s correlation coefficient investigated the correlation between the Widespread Pain Index and the painMAP software.
RESULTS: A total of 98 participants with Widespread Pain were included in this study. Most participants were female (67; 83.7%), with a mean age of 57,7±11,5 years, mean height of 1.6 (0.1) meters and mean weight of 73.2 (11.8) kilograms. The mean pain intensity was 6.7 (2.0), and the pain duration was 92.3 (96.3) months. The mean number of pain sites in the Widespread Pain Index was 10.1 (3.7), and in the painMAP software, it was 11.7 (8.8). A weak positive correlation (rho = 0.26, 95% CI 0.45 to 0.04, p = 0.022) between the Widespread Pain Index and the painMAP software was found.
CONCLUSION: The Widespread Pain Index and the painMAP software showed a weak correlation for assessing pain sites in participants with Widespread Pain.

Keywords

Chronic Pain, Fibromyalgia, Pain management, Pain measurement

Resumo

JUSTIFICATIVA E OBJETIVOS: A identificação dos locais de dor é um aspecto essencial no manejo de pacientes com Dor Espalhada. Vários instrumentos foram desenvolvidos, incluindo desenhos de dor, um sistema de grade e métodos computadorizados. No entanto, ainda não se sabe se o Índice de Dor Espalhada coincide com um método automatizado (painMAP) para quantificar o número de áreas de dor. Portanto, este estudo teve como objetivo identificar a relação entre o Índice de Dor Espalhada e o painMAP para medir as áreas doloridas em participantes com esse quadro de dor. 
MÉTODOS: Uma análise secundária pré-planejada de dados coletados de 311 pacientes com dor musculoesquelética foi realizada. O Índice de Dor Espalhada e o painMAP avaliaram as áreas de dor. O coeficiente de correlação de Spearman foi utilizado para investigar a correlação entre o Índice de Dor Espalhada e o software painMAP.
RESULTADOS: Um total de 98 participantes com Dor Espalhada foram incluídos neste estudo. A maioria dos participantes era do sexo feminino (67;83,7%), com média de idade de 57,7±11,5 anos, média de altura de 1,6 (0,1) metros e média de peso de 73,2 (11,8) quilogramas. A média de intensidade da dor foi de 6,7 (2,0) e da duração da dor de 92,3 (96,3) meses. O número médio de áreas de dor no Índice de Dor Espalhada foi de 10,1(3,7) e no software painMAP foi de 11,7 (8,8). Uma correlação positiva fraca (rho=0,26, IC de 95% 0,45-0,04, p=0,022) entre o Índice de Dor Espalhada e o painMAP foi encontrada. 
CONCLUSÃO: O Índice de Dor Espalhada e o painMAP mostraram correlação positiva fraca para avaliar as áreas de dor em participantes com dor espalhada.
Descritores: Dor Crônica, Fibromialgia, Manejo da dor, Medição da Dor.

Palavras-chave

Dor Crônica, Fibromialgia, Manejo da dor, Medição da Dor.

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Submitted date:
10/05/2022

Accepted date:
01/30/2023

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