A multivariate analysis of presurgical inflammatory markers in patients with painful knee osteoarthritis: can postoperative pain be predicted?

Rocco Giordano; B. Ghafouri; Lars Arendt-Nielsen; Kristian Kjær-Staal Petersen

Abstract

Background and aims: Approximately 20% of patients with knee osteoarthritis (KOA) experience postoperative pain. Pain in KOA is multifactorial and may include low-grade chronic inflammation. This study aimed 1) to evaluate preoperative serum levels of inflammatory biomarkers in KOA patients compared to healthy controls, 2) investigate preoperative differences of inflammatory biomarkers within different subgroups of patients with KOA and link these subgroups to clinical pain before and after total knee replacement (TKR) surgery.

Methods: Blood samples from preoperative KOA patients (n=200) and healthy participants (n=39) were collected and analyzed using OLINK inflammatory panel. Clinical pain intensity and the Knee injury and Osteoarthritis Outcome Score (KOOS) questionnaire were assessed before and 12-months after TKR. Multivariate data analysis was performed to identify differences between patients and controls. Hierarchical cluster analysis and orthogonal partial least squares-discriminant analysis (OPLS-DA) was used to identify subgroups within patients with KOA and t-tests were used to evaluate differences in clinical pain intensity and KOOS scores between the groups

Results: Multivariate analysis showed 12 proteins differentially expressed between patients and controls. Hierarchical cluster and OPLS-DA analysis identified two patient subgroups with 23 proteins being significantly (p<0.01) up- or downregulated in the subgroups. Postoperative clinical pain and KOOS were significantly different between patients’ subgroup 1 and subgroup 2 (p<0.05).

Conclusions: This study identified differences in 23 preoperative inflammatory markers comparing patients with KOA and controls. Furthermore, 2 specific subgroups within the patient cohort could be established using 23 inflammatory markers and these subgroups demonstrate different clinical pain and function scores when assessed 12-months after TKR.

Originalsprog	Engelsk
Publikationsdato	sep. 2023
Status	Udgivet - sep. 2023
Begivenhed	13th Congress of the European Pain Federation EFIC: Personalised Pain Management: The Future is Now - Budapest, Ungarn Varighed: 20 sep. 2023 → 22 sep. 2023 https://europeanpainfederation.eu/efic2023/

Konference

Konference	13th Congress of the European Pain Federation EFIC
Land/Område	Ungarn
By	Budapest
Periode	20/09/2023 → 22/09/2023
Internetadresse	https://europeanpainfederation.eu/efic2023/

AUB Link

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Citationsformater

@conference{03af19c4fa3f4d648bd3544e60e1d3b9,

title = "A multivariate analysis of presurgical inflammatory markers in patients with painful knee osteoarthritis: can postoperative pain be predicted?",

abstract = "Background and aims: Approximately 20% of patients with knee osteoarthritis (KOA) experience postoperative pain. Pain in KOA is multifactorial and may include low-grade chronic inflammation. This study aimed 1) to evaluate preoperative serum levels of inflammatory biomarkers in KOA patients compared to healthy controls, 2) investigate preoperative differences of inflammatory biomarkers within different subgroups of patients with KOA and link these subgroups to clinical pain before and after total knee replacement (TKR) surgery.Methods: Blood samples from preoperative KOA patients (n=200) and healthy participants (n=39) were collected and analyzed using OLINK inflammatory panel. Clinical pain intensity and the Knee injury and Osteoarthritis Outcome Score (KOOS) questionnaire were assessed before and 12-months after TKR. Multivariate data analysis was performed to identify differences between patients and controls. Hierarchical cluster analysis and orthogonal partial least squares-discriminant analysis (OPLS-DA) was used to identify subgroups within patients with KOA and t-tests were used to evaluate differences in clinical pain intensity and KOOS scores between the groupsResults: Multivariate analysis showed 12 proteins differentially expressed between patients and controls. Hierarchical cluster and OPLS-DA analysis identified two patient subgroups with 23 proteins being significantly (p<0.01) up- or downregulated in the subgroups. Postoperative clinical pain and KOOS were significantly different between patients{\textquoteright} subgroup 1 and subgroup 2 (p<0.05).Conclusions: This study identified differences in 23 preoperative inflammatory markers comparing patients with KOA and controls. Furthermore, 2 specific subgroups within the patient cohort could be established using 23 inflammatory markers and these subgroups demonstrate different clinical pain and function scores when assessed 12-months after TKR.",

author = "Rocco Giordano and B. Ghafouri and Lars Arendt-Nielsen and Petersen, {Kristian Kj{\ae}r-Staal}",

year = "2023",

month = sep,

language = "English",

note = "13th Congress of the European Pain Federation EFIC ; Conference date: 20-09-2023 Through 22-09-2023",

url = "https://europeanpainfederation.eu/efic2023/",

}

A multivariate analysis of presurgical inflammatory markers in patients with painful knee osteoarthritis: can postoperative pain be predicted? / Giordano, Rocco; Ghafouri, B.; Arendt-Nielsen, Lars et al.
2023. Abstract fra 13th Congress of the European Pain Federation EFIC, Budapest, Ungarn.

Publikation: Konferencebidrag uden forlag/tidsskrift › Konferenceabstrakt til konference › Forskning › peer review

TY - ABST

T1 - A multivariate analysis of presurgical inflammatory markers in patients with painful knee osteoarthritis

T2 - 13th Congress of the European Pain Federation EFIC

AU - Giordano, Rocco

AU - Ghafouri, B.

AU - Arendt-Nielsen, Lars

AU - Petersen, Kristian Kjær-Staal

PY - 2023/9

Y1 - 2023/9

N2 - Background and aims: Approximately 20% of patients with knee osteoarthritis (KOA) experience postoperative pain. Pain in KOA is multifactorial and may include low-grade chronic inflammation. This study aimed 1) to evaluate preoperative serum levels of inflammatory biomarkers in KOA patients compared to healthy controls, 2) investigate preoperative differences of inflammatory biomarkers within different subgroups of patients with KOA and link these subgroups to clinical pain before and after total knee replacement (TKR) surgery.Methods: Blood samples from preoperative KOA patients (n=200) and healthy participants (n=39) were collected and analyzed using OLINK inflammatory panel. Clinical pain intensity and the Knee injury and Osteoarthritis Outcome Score (KOOS) questionnaire were assessed before and 12-months after TKR. Multivariate data analysis was performed to identify differences between patients and controls. Hierarchical cluster analysis and orthogonal partial least squares-discriminant analysis (OPLS-DA) was used to identify subgroups within patients with KOA and t-tests were used to evaluate differences in clinical pain intensity and KOOS scores between the groupsResults: Multivariate analysis showed 12 proteins differentially expressed between patients and controls. Hierarchical cluster and OPLS-DA analysis identified two patient subgroups with 23 proteins being significantly (p<0.01) up- or downregulated in the subgroups. Postoperative clinical pain and KOOS were significantly different between patients’ subgroup 1 and subgroup 2 (p<0.05).Conclusions: This study identified differences in 23 preoperative inflammatory markers comparing patients with KOA and controls. Furthermore, 2 specific subgroups within the patient cohort could be established using 23 inflammatory markers and these subgroups demonstrate different clinical pain and function scores when assessed 12-months after TKR.

AB - Background and aims: Approximately 20% of patients with knee osteoarthritis (KOA) experience postoperative pain. Pain in KOA is multifactorial and may include low-grade chronic inflammation. This study aimed 1) to evaluate preoperative serum levels of inflammatory biomarkers in KOA patients compared to healthy controls, 2) investigate preoperative differences of inflammatory biomarkers within different subgroups of patients with KOA and link these subgroups to clinical pain before and after total knee replacement (TKR) surgery.Methods: Blood samples from preoperative KOA patients (n=200) and healthy participants (n=39) were collected and analyzed using OLINK inflammatory panel. Clinical pain intensity and the Knee injury and Osteoarthritis Outcome Score (KOOS) questionnaire were assessed before and 12-months after TKR. Multivariate data analysis was performed to identify differences between patients and controls. Hierarchical cluster analysis and orthogonal partial least squares-discriminant analysis (OPLS-DA) was used to identify subgroups within patients with KOA and t-tests were used to evaluate differences in clinical pain intensity and KOOS scores between the groupsResults: Multivariate analysis showed 12 proteins differentially expressed between patients and controls. Hierarchical cluster and OPLS-DA analysis identified two patient subgroups with 23 proteins being significantly (p<0.01) up- or downregulated in the subgroups. Postoperative clinical pain and KOOS were significantly different between patients’ subgroup 1 and subgroup 2 (p<0.05).Conclusions: This study identified differences in 23 preoperative inflammatory markers comparing patients with KOA and controls. Furthermore, 2 specific subgroups within the patient cohort could be established using 23 inflammatory markers and these subgroups demonstrate different clinical pain and function scores when assessed 12-months after TKR.

UR - https://efic2023.abstractserver.com/program/#/details/presentations/333

M3 - Conference abstract for conference

Y2 - 20 September 2023 through 22 September 2023

ER -