Literature DB >> 29435358

Association between osteoarthritis and dyslipidaemia: a systematic literature review and meta-analysis.

Pauline Baudart1,2, Karine Louati1,3,4, Christian Marcelli2,5,6,7, Francis Berenbaum1,3,4,8, Jérémie Sellam1,3,4,8.   

Abstract

OBJECTIVES: We aimed to investigate the prevalence of dyslipidemia in patients with osteoarthritis (OA) and whether OA and dyslipidemia are associated.
METHODS: We performed a systematic literature review and a meta-analysis, including cross-sectional, cohort and case-control studies, to assess the number of patients with OA and/or dyslipidemia. We calculated the mean (±SD) prevalence of dyslipidemia in patients with and without OA and the risk of dyslipidemia (OR, 95% CI) among patients with OA.
RESULTS: From 605 articles screened, 48 were included in the analysis (describing 29 cross-sectional, 10 cohort and 9 case-control studies). The mean prevalence of dyslipidemia was 30.2%±0.6% among 14 843 patients with OA and 8.0%±0.1% among 196 168 without OA. The risk of dyslipidemia was greater with than without OA overall (OR 1.98,95% CI 1.43 to 2.75, p<0.0001) and with knee OA (OR 2.27, 1.33 to 3.89, p=0.003) and hand OA (OR 2.12, 1.46 to 3.07), p<0.0001).
CONCLUSION: The risk of dyslipidemia was twofold greater with than without OA, so lipid disturbances could be a risk factor for OA. Such a result supports the individualisation of the metabolic syndrome-associated OA phenotype.

Entities:  

Keywords:  Cholesterol; Dyslipidemia; Meta-analysis; Metabolic Syndrome; Osteoarthritis

Year:  2017        PMID: 29435358      PMCID: PMC5706481          DOI: 10.1136/rmdopen-2017-000442

Source DB:  PubMed          Journal:  RMD Open        ISSN: 2056-5933


Metabolic disturbances such as obesity or diabetes mellitus are associated with osteoarthritis (OA), but data about the link between OA and lipid disturbances remain conflicting. This is the first systematic review and meta-analysis demonstrating an association between OA and dyslipidemia. This result reinforces the concept of the metabolic syndrome-associated OA phenotype. This study emphasises the need to screen and manage cardiovascular comorbidities, especially lipid disturbances in patients with OA in clinical daily practice.

Introduction

Osteoarthritis (OA) is the most common joint disease and a major cause of pain and disability. It is currently considered a disease with multiple distinguishable phenotypes: post-traumatic, ageing-related, genetic and metabolic syndrome (MetS)-associated OA.1 Metabolic OA, the most commonly studied phenotype, is defined by the association between OA and MetS, associating obesity, hyperglycaemia with insulin resistance, dyslipidemia and hypertension.2 Metabolic OA mainly affects middle-aged people (45–65 years) and leads to knee, hand and generalised OA. The association between OA and MetS has been reported in several epidemiological studies.3 4 The pathophysiological link between both diseases could be chronic low-grade systemic inflammation occurring in both conditions.5 The association of OA with each MetS component has been investigated.6 Obesity and overweight are independently linked to hand OA, with a twofold increased risk.7 This association suggests the release of inflammatory mediators by adipose tissue adipokines. We recently reported an association between OA and diabetes mellitus, with a 1.46-fold increased risk of OA with diabetes mellitus and a 1.41-fold increased risk of diabetes mellitus with OA.8 The link between both pathologies could be explained by the action of pro-inflammatory cytokines and oxidative stress occurring in both diseases.9–12 The link between OA and the other components of MetS remains debated. Experimental studies have suggested that lipid disturbances could be involved in OA pathophysiology,13 but epidemiological studies revealed heterogeneous results. With a systematic literature review and meta-analysis, we aimed to investigate the prevalence of dyslipidemia in patients with OA and assess whether OA and dyslipidemia are associated.

Methods

The systematic review was registered on PROSPERO (CRD: 42016037290).

Literature search

We performed a systematic search of articles in MEDLINE via PubMed, EMBASE and the Cochrane library. The keywords used for the PubMed search were (((‘Dyslipidemias’[Mesh] OR ‘Hypertriglyceridemia’[Mesh]) OR ‘Hypercholesterolemia’[Mesh]) OR ‘HDL’[All Fields] OR ‘LDL’[All Fields] OR ‘Triglycerides’[All Fields] OR ‘Hyperlipidemias’[Mesh]) OR ‘Cholesterol’[Mesh] OR ‘Metabolic Syndrome X’[Mesh] AND ‘Osteoarthritis’[Mesh] AND (‘humans’[MeSH Terms] AND (English[lang] OR French[lang])). No time limit was set for publication date, and articles published up to 1 January 2016 were searched. We also searched the abstracts from international meetings of the American College of Rheumatology (ACR), European League Against Rheumatism, Société Française de Rhumatologie, European Society of Cardiology, Endocrine Society’s Annual Meeting and European Congress of Endocrinology.

Study selection

We selected articles published in English or French that described observational studies of adults (>18 years of age) with cohort, case–control and cross-sectional designs. Studies were included if they specified the number of patients with OA and dyslipidemia and/or the prevalence or incidence of OA in patients with dyslipidemia and/or dyslipidemia in patients with OA, and/or the mean values of parameters of dyslipidemia in patients with and without OA and/or the existence or not of an association between OA and dyslipidemia. We excluded non-observational studies (therapeutic trials, reviews, letters and case reports). Articles that did not mention the number of patients with OA or dyslipidemia and those that did not evaluate the link between the two diseases were excluded. The selection of articles was based on titles and abstracts, then full texts.

Data synthesis

We extracted the following data: publication data (title of the article, first author, journal and publication date), study design (type of study, year(s) of inclusion, study quality score), population (total number of patients included, mean age and sex of patients), methodology of articles (the definition used for OA and dyslipidemia, OA location) and data needed for statistical analysis (number of patients with OA and/or dyslipidemic patients; mean total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL) and triglyceride (TG) levels (mg/dL or mmol/L); and number of patients receiving statins, number with MetS and number with obesity or mean body mass index (BMI) in kg/cm2). The quality of the study was estimated by using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) scale, the score expressed in percentage of positive answers in relation to the number of items selected.14

Statistical analysis

First, we performed a descriptive analysis of the prevalence of dyslipidemia in patients with and without OA and used the number of patients with dyslipidemia and total number with and without OA. To estimate this prevalence from cohort longitudinal prospective studies, we used baseline data. Prevalence was expressed as mean±SD Second, we calculated the mean TC, LDL, HDL and TG levels in patients with and without OA. Third, for studies examining an association between OA and dyslipidemia, we calculated the risk of dyslipidemia with OA by estimating the overall OR with 95% CIs. The data were extracted from studies examining the number of dyslipidemic patients with and without OA. We used Revman V.5.3 for the meta-analysis with a fixed-effects model. Heterogeneity was assessed by the I² index; with I²>50% (high heterogeneity), we used a random-effects model, and with I2 <50% (low heterogeneity), we used a fixed-effects model. With strong heterogeneity, we used a randomised-effects analysis. To investigate potential publication bias, we have performed the funnel plot. The association was considered positive with OR >1, and the result was considered statistically significant with p≤0.05. We performed sensitivity and subgroup analyses.

Results

Characteristics of studies included

The selection of articles is reported in the flow chart (figure 1). We identified 605 publications; 48 articles (including 13 abstracts) from 43 studies were included (2 articles from the SEKOIA study, 4 from the FRAMINGHAM study and 2 from the National Health and Nutrition Examination Survey III). One abstract15 was obtained from the EMBASE database and not from screening congress abstracts. The 48 articles described 29 cross-sectional, 10 cohort and 9 case–control studies. Among them, 29 articles involved the OA population and 19 the general population (table 1). We did not find any studies based on a cohort of patients with dyslipidemia, which explains why the prevalence or relative risk of OA in patients with dyslipidemia was not calculated. Table 2 shows the definitions of OA and dyslipidemia in selected studies.
Figure 1

Flow chart of articles in the study

Table 1

Description of the 48 articles studies selected for analysis

Osteoarthritis populationGeneral population
Type of studyAuthorYearAuthorYear
Cross-selectionalStürmer et al251998Davis et al261988
Racaza et al652012Han et al272013
Erb et al662004Dahaghin et al412007
Eymard et al282015Haugen et al422015
Shea et al292015Inoue et al302011
Salamon et al502015Cemeroglu et al222014
Abourazzak et al202015Meek et al512014
Juge et al17*2015Al-Arfaj312003
Rollefstad et al23*2014Suri et al482010
Saunders et al53*2013Puenpatom et al42009
Nuñez et al32*2012Hart et al191995
Shukurova et al67*2014Maddah et al242015
Salaru et al33*2013Engström et al342009
Kemta Lekpa et al35*2014Yoshimura et al32012
Niu et al36*2015Nielen et al542012
Haugen et al43*2013Marshall et al442015
Courties et al45*2014Hussain et al372014
CohortGandhi et al492014Sowers et al212009
Laires et al38*2015Massengale et al462012
Thelier–Deloison et al15*2012
Case–controlSoran et al162008
Cheras et al181997
Mishra et al392012
Oliviero et al522012
Addimanda et al472012
Philbin et al551996
Irshad et al562014
Zayed et al402013
Cheng et al57*2013

*Data from a congress.

Table 2

Characteristics of the 48 included articles: definitions of osteoarthritis (OA) and dyslipidemia, outcomes and Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) study quality

AuthorOA definitionDyslipidemia definitionOutcomeSTROBE study quality (%)
Stürmer et al25Arthroplasty or KL≥2TC≥240 mg/dL and/or statin therapyMV in OA+ Association of OA and dyslipidemia53
Racaza et al65ACR or Cq and RxNPD in OA+42
Erb et al66Cq and RxMV in OA+50
Eymard et al28ACR Cq and Rx KL scaleHistory of dyslipidemiaNPD in OA+82
Shea et al29Cq and RxNPS in OA+ MV in OA+78
Salamon et al50ACRNPD in OA+ MV in OA+72
Abourazzak et al20KL≥2HDL<50 mg/dL TG≥150 mg/dLNPD in OA+66
Juge et al17*RxNPD in OA+NA
Rollefstad et al23*History of OAMV in OA+ and OA– Association of OA and dyslipidemiaNA
Saunders et al53*KL scaleTC>4 mmol/LNPD in OA+ Association of MV and KL scaleNA
Nuñez et al32*Hypercholesterolemia (ND)NPD in OA+NA
Shukurova et al67*-Hypercholesterolemia (ND)NPD in OA+NA
Salaru et al33*ACRNPD in OA+NA
Kemta Lekpa et al35*ACRNPD in OA+NA
Niu et al36*Arthroplasty or KL≥2HDL<40 mg/dL in M;<50 mg/dL in W TG>150 mg/dLAssociation of OA and dyslipidemiaNA
Haugen et al43*KL≥2Low HDL and HTG (ND)NPD in OA+ Association of OA and dyslipidemiaNA
Courties et al45*KL≥2NPD in OA+NA
Gandhi et al49Cq and RxHDL<35 mg/dL in M,<40 mg/dL in W; TG≥150 mg/dLNPD in OA+52
Laires et al38*NPD in OA+NA
Thelier–Deloison et al15*History of OANPD in OA+ and OA– Association of OA and dyslipidemiaNA
Soran et al16Cq and RxMV in OA+ and OA– Association of OA and dyslipidemia65
Cheras et al18Cq and RxMV in OA+ and OA– Association of OA and dyslipidemia75
Mishra et al39KL scale ACRMV in OA+ and OA– Association of OA and dyslipidemia58
Oliviero et al52ACRMV in OA+ and OA– Association OA and dyslipidemia67
Addimanda et al47Cq KL scaleLDL≥130 mg/dL and/or CT≥240 mg/dL and/or statin therapyNPD in OA+ and OA– Association of OA and dyslipidemia75
Philbin et al55Questionnaire Radiological Danielson scaleLDL≥160 mg/dL and/or HDL≤35 mg/dLNPD in OA+ and OA– NPS in OA+ and OA– Association of OA and dyslipidemia MV in OA+ and OA–73
Irshad et al56KL scaleTC≥200 mg/dL and/or TG≥150 mg/dLNPD in OA+ and OA– Association of OA and dyslipidemia MV in OA+ and OA–47
Zayed et al40ACRMV in OA+ and OA– Association of OA and dyslipidemia56
Cheng et al57*Association of OA and dyslipidemiaNA
Davis et al26RxMV in OA+ and OA– Association of OA and dyslipidemia67
Han et al27History of OA by physicianHDL<40 mg/dL in M,<50 mg/dL in W; TG≥150 mg/dLMV in OA+ and OA– Association of OA and dyslipidemia84
Dahaghin et al41KL≥2, ACR, CqMV in OA+ and OA– Association of OA and dyslipidemia69
Haugen et al42KL≥2NPS in OA+ MV in OA+84
Inoue et al30KL≥2HDL<40 mg/dL in M,<50 mg/dL in W; TG≥150 mg/dLNPD in OA+ and OA– Association of OA and dyslipidemia MV in OA+ and OA–69
Cemeroglu et al22≥3 articulations with KL≥2TC>200 mg/dL LDL>100 mg/dL HDL<40 mg/dL TG>150 mg/dLNPD in OA+ and OA– MV in OA+ and OA– NPS in OA+ and OA– Association of OA and dyslipidemia59
Meek et al51CodesMV in OA+ NPS in OA+78
Al-Arfaj31KL≥2TC≥220 mg/dLNPD in OA+ and OA– Association of OA and dyslipidemia50
Suri et al48Pathria and Weishaupt scaleTC≥240 mg/dLNPD in OA+ and OA– Association of OA and dyslipidemia72
Puenpatom et al4Codes Rx History of OA by physicianCodes or HDL<40 mg/dL in M,<50 mg/dL in W; or TG≥150 mg/dLNPD in OA+ and OA– Association of OA and dyslipidemia69
Hart et al19KL≥2Association of OA and dyslipidemia78
Maddah et al24KL≥2TC≥5 mmol/L and TG≥2 mmol/L and HDL≤1 mmol/L in M, ≤1.1 mmol/L in WNPD in OA+ and OA– Association of OA and dyslipidemia MV in OA+ and OA–72
Engström et al34Codes: arthroplasty for hip or knee OAHDL<1.03 mmol/L in M,<1.29 mmol/L in W; TG≥1.7 mmol/L or statin therapyNPD in OA+ and OA– Association of OA and dyslipidemia79
Yoshimura et al3KL≥2HDL≤40 mg/dLMV in OA+ and OA– Association of OA and dyslipidemia91
Nielen et al54CodesCodes: hypercholesterolemiaNPD in OA+ and OA– NPS in OA+ and OA–81
Marshall et al44KL scaleCodesNPD in OA+ NPS in OA+74
Hussain et al37Joint replacementHDL<1.03 mmol/L in M,<1.29 mmol/L in W; HTG≥1.7 mmol/LNPD in OA+ and OA– Association of OA and dyslipidemia85
Sowers et al21KL≥2HDL≤45 mg/dL or LDL>160 mg/dL or TG>200 mg/dLMV in OA+ and OA– Association of OA and dyslipidemia70
Massengale et al46TC≥240 mg/dLNPD in OA+ and OA–78

ACR, American College of Rheumatology; Cq, clinical; HDL, high-density lipoprotein; HTG, hypertriglyceridemia; KL, Kellgren and Lawrence; LDL, low-density lipoprotein; M, men; MV, mean values of lipid profile; NA, if the data were issued only from congress; ND, not defined; NPD, number of patients with dyslipidemia; NPS, number of patients with statin therapy; OA+, patients with osteoarthritis; OA–, patients without osteoarthritis; Rx, radiography; TC, total cholesterol; TG, triglycerides; W, women.

*Data from a congress.

Flow chart of articles in the study Description of the 48 articles studies selected for analysis *Data from a congress. Characteristics of the 48 included articles: definitions of osteoarthritis (OA) and dyslipidemia, outcomes and Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) study quality ACR, American College of Rheumatology; Cq, clinical; HDL, high-density lipoprotein; HTG, hypertriglyceridemia; KL, Kellgren and Lawrence; LDL, low-density lipoprotein; M, men; MV, mean values of lipid profile; NA, if the data were issued only from congress; ND, not defined; NPD, number of patients with dyslipidemia; NPS, number of patients with statin therapy; OA+, patients with osteoarthritis; OA–, patients without osteoarthritis; Rx, radiography; TC, total cholesterol; TG, triglycerides; W, women. *Data from a congress. The median STROBE quality score was 69.1% (range 42%–91%). Nine articles had a STROBE quality score <60% (table 3).
Table 3

Characteristics of the population on the 48 included articles: number, age, gender, overweight proportion

AuthorSample size (N = number of total patients; n= number of patients with OA)Mean age (years) in OA+ and OA– patientsGender in OA+ and OA– patients (% of F)Overweight proportion (%) or BMI (kg/m2) in OA+ and OA–
Stürmer et al25n=809OA+: F: 62.3%
Racaza et al65n=859OA+: 62.9OA+: F: 74.5%
Erb et al66N=250 n=64OA+: 57.3±10.1OA+: F: 62.5%OA+: 30.9±7.6 kg/m2
Eymard et al28n=559OA+: 62.8OA+: F: 70.1%
Shea et al29n=791OA+: 74.25±4.5OA+: F: 62.3%OA+: 27.28 kg/m2
Salamon et al50N=927 n=344OA+: F: 83.4%OA+: 29.5 kg/m2
Abourazzak et al20n=130OA+: 56.7±8.1OA+: F: 100%OA+: 32.54±2.9 kg/m2
Juge et al17 *n=147OA+ : 75.8±10OA+: F: 68.7%OA+: 27.2 kg/m2
Rollefstad et al23 *N=626 n=469OA+: 64.1±8.6 OA–: 63.3±9.3OA+: F: 73.1% OA–: F: 58%
Saunders et al53 *n=57
Nuñez et al32 *n=260OA+: 69.8±8OA+: F: 79.2%
Shukurova et al67 *n=1243OA+: 56.1±7.9OA+: 61.6% of OP
Salaru et al33 *n=61OA+: 64.9±2.7OA+: F: 77%OA+: 60.6% of OP
Kemta Lekpa et al35 *n=148OA+: 57±10.6OA+: F: 75%OA+: 53% of OP 30.8±5.6 kg/m2
Niu et al36 *n=1091OA+: 62OA+: F: 55.5%
Haugen et al43 *n=748OA+: 58.1OA+65.7% of OP
Courties et al45 *n=869OA+: 54±7OA+: F : 72%
Gandhi et al49n=1502OA+: 55.3±15.5OA+: F: 48.8%OA+: 27.3 kg/m2
Laires et al38 *n=197OA+: 67±8.6OA+: F: 79.2%
Thelier–Deloison et al15 *n=112 n=26OA+: 100% of OP
Soran et al16N=66 n=36OA+: 40.9±2.5 OA–: 39±4.7OA+: F: 72.2% OA–: F : 66.7%OA+: 29.9±3.3 kg/m2 OA–: 27.6±3.8 kg/m2
Cheras et al18N=96 n=44OA+: 69±9 OA–: 68±7OA+: F 40.9% OA–: F 40.4%OA+: 25.8 kg/m2 OA–: 24.8 kg/m2
Mishra et al39N=100 n=28OA+: 49.1±1.4 OA–: 49.6±1.3OA+: M: F: 71.4% OA–: M: F: 69.4%OA+: 23.4±0.6 kg/m2 OA–: 22.9±0.6 kg/m2
Oliviero et al52N=77 n=16OA+: 54.7±11.5 OA–: –OA+: F: 68.7% OA–: –
Addimanda et al47N=753 n=446OA+: 68±8 OA–: 63.9±9OA+: F: 92.8% OA– : F : 97.4%OA+: 25.1±3.8 kg/m2 OA–: 24.9±3.9 kg/m2
Philbin et al55N=69 n=46OA+: 65.8±9.3 OA–: 67.9±6.7OA+: F: 56.5% OA–: F: 65.2%OA+: 31.2±5.9 kg/m2 OA–: 24.6±3.2 kg/m2
Irshad et al56N=100 n=50
Zayed et al40N=80 n=40OA+: 43.5±3.7 OA–: 44.4±3.9OA+: F: 87.5% OA–: F: 87.5%OA+: 37.3±5.9 kg/m2 OA–: 23.5±1.3 kg/m2
Cheng et al57 *N=56 607 n=23 530
Davis et al26N=3885 n=301
Han et al27N=10 839 n=270OA+: 64.5±10.1 OA–: 53.2±11OA+: F: 84.8% OA–: F: 50%
Dahaghin et al41n=3585OA+26.3±3.5 kg/m2
Haugen et al42N=1348 n=726
Inoue et al30N=795 n=251OA+: 66.3 OA–: 55.5OA+: F: 79.3% OA–: F : 54.7%OA+: 23.8 kg/m2 OA–: 22.8 kg/m2
Cemeroglu et al22N=61 n=39OA+: F: 100% OA–: F: 100%
Meek et al51N=858 n=206OA+: 59.2±11OA+: F: 79.1%
Al-Arfaj31N=246 n=122
Suri et al48N=441 n=310OA+: 57.8±10.6 OA–: 46.7±9.7OA+: F: 49% OA–: F: 39%
Puenpatom et al4N=7714 n=975OA+: 69.6 OA–: 41.3OA+: F: 61.3% OA–: F: 51.3%OA+: 66.9% of OP OA–: 34.8% of OP
Hart et al19N=979 n=118OA+: F: 100%
Maddah et al24N=625 n=244OA+: 61.2 OA–: 48.0OA+: F: 89.8% OA–: F: 73.8%
Engström et al34N=5194 n=209OA+: 59.9 OA–: 57.6OA+: F: 66.5% OA–: F: 58.4%OA+: 27.9 kg/m2 OA–: 25.37 kg/m2
Yoshimura et al3N=1690 n=71OA+: 67.3±8.2 OA–: 58.2±11.8OA+: F: 74.6% OA–: F: 58.6%OA+: 23.6±2.9 kg/m2 OA–: 22.4±3.2 kg/m2
Nielen et al54N=175 956 n=4040OA+: 69.8 OA–: 51OA+: F: 68.7% OA–: F: 50.4%
Marshall et al44N=1076 n=341OA+: 69.0OA+: F: 80.4%
Hussain et al37N=20 430 n=1222OA+: 68.3±7.7 OA–: 64.8±8.6OA+ : F: 66.2 OA–: F: 59.5%OA+: 76.8% of OP, 28.6±5.0 kg/m2 OA–: 62.6% of OP, 26.8±4.5 kg/m2
Sowers et al21N=664 n=53OA+: 50±5 OA–: 47±8OA+: F: 100% OA–: F: 100%OA+: 35.6±11.1 kg/m2 OA–: 27.3±8.4 kg/m2
Massengale et al46N=2477 n=466OA+: F: 58.2% OA–: F: 46.6%

*Data from a congress. BMI, body mass index; F, female; M, male; OA, osteoarthritis.

In total, 30 articles assessed the association of OA and dyslipidemia, 30 assessed the prevalence of dyslipidemia among patients with OA and 22 assessed mean lipid level values among patients with OA (table 3).

Patient characteristics

This study involved 306 044 patients. The mean age range was 39.0±4.716 to 77.5±9.0 years.17 The mean proportion of females was 53.2% (range 40.6%18 to 100%19–22). The localisation was the knee in 23 articles,3 15 16 19–21 24–40 hand in 9,15 22 41–47 generalised OA in 3,25 31 47 hip in 3,25 34 37 spine in 248 49 and shoulder in 1.17 MetS was reported in nine articles,4 20 24 28 30 36 40 43 50 the prevalence of MetS ranged from 5%24 to 97.5%.40 The prevalence of obesity ranged from 7.8%51 to 100%15 40 and BMI from 22.3±2.730 to 37.3±5.9 g/cm2.40 Seven articles described the use of statin treatment (table 3). Characteristics of the population on the 48 included articles: number, age, gender, overweight proportion *Data from a congress. BMI, body mass index; F, female; M, male; OA, osteoarthritis. Main results of prevalence of dyslipidemia and mean lipid-level values in patients with osteoarthritis (OA) and non-OA patients

Prevalence of dyslipidemia among patients with and without OA (table 4)

The mean prevalence of dyslipidemia was 30.2%±0.6% among 14 843 patients with OA and 8.0%±0.1% among 1 96 168 without OA. The mean prevalence with knee OA was 27.6%±1.4%,15 20 24 25 28 30–35 37 38 hand OA 37.6%±1.6%,22 43–47 generalised OA 30.5%±3.9%,25 31 47 hip OA 20%±2.1%25 34 37 and symptomatic OA was 21%.28 44

Mean lipid-level values with and without OA (table 4)

The mean lipid-level values for patients with and without OA were for TC, 245±25.1 and 233.1±17.5 mg/dL; LDL, 126.5±20.7 and 136.9±15.9 mg/dL; HDL, 54.4±8.9 and 53.1±7.5 mg/dL; and TG, 137.3±80.3 and 131±27.3 mg/dL.

Association between dyslipidemia and OA

Overall, 30 articles indicated the presence or the absence of an association between OA and dyslipidemia; 21 (70%) showed a positive association between OA and dyslipidemia3 4 15 18 19 21 23 24 25 30 31 39 40 47 48 52–57; 12/18 articles (67%) with STROBE score >60% found a positive association.3 4 18 19 21 24 30 47 48 52 54 55 In addition, 4/7 articles19 25 31 47 that reported an OR adjusted on age and BMI found a positive association. Among the three with negative association findings after adjustment, two had a STROBE score >60%.34 37

Overall risk of dyslipidemia with OA: meta-analysis

Among 204 148 patients from 13 articles,4 15 22 24 30 31 34 37 47 48 54–56 the overall OR was 1.98 (95% CI 1.43 to 2.75, p<0.0001; I2=94%), evaluated by a random-effects model (figure 2).
Figure 2

Forest plot for dyslipidemia among patients with and without osteoarthritis (OA).

Forest plot for dyslipidemia among patients with and without osteoarthritis (OA).

Risk of dyslipidemia with OA: sensitivity analyses

To strengthen our results, we performed four sensitivity analyses. First, we removed the studies that did not use ACR criteria or Kellgren-Lawrence grading for OA diagnosis: among 2568 patients from the six remaining articles,22 24 30 31 47 56 the risk of dyslipidemia was increased with than without OA (OR 2.64, 95% CI 2.14 to 3.26, p<0.00001, I2=0%). Second, we excluded studies with a STROBE score <60%: among 203 629 patients from the nine remaining articles,4 24 30 34 37 47 48 54 55 the risk of dyslipidemia remained increased with than without OA (OR 1.63, 1.13 to 2.36, p=0.009, I2=95%). Third, we excluded studies that specified the use of statin treatment because the definition of dyslipidemia in these studies was based on only lipid values and did not account for statin treatment. Among 41 539 patients from the 10 remaining articles,4 15 24 30 31 34 37 47 48 56 the risk of dyslipidemia remained increased with than without OA (overall OR 1.93, 1.42 to 2.61, p<0.0001, I2=87%). Fourth, we pooled the results of the articles that reported an age-adjusted and BMI-adjusted OR. Among 31 764 patients, from the four articles,31 34 37 47 there was no association between dyslipidemia and OA (OR 1.31, 95% CI 0.88 to 1.95, p<0.0001, I2=83%).

Risk of dyslipidemia with OA: subgroup analyses

We performed a subgroup analysis by OA localisation. The increased risk of dyslipidemia with OA persisted with knee OA (among 26 805 patients, OR 2.27, 1.33 to 3.89, p=0003, I2=88%)15 24 30 31 34 37 and hand OA (among 814 patients, OR 2.12, 1.46 to 3.07, p<0.0001, I2=0%)22 47 but not hip OA (among 24 934 patients, OR 0.86, 0.69 to 1.08, p=0.18, I2=0%).34 37

Discussion

We investigated the potential association between OA and dyslipidemia with a systematic review and meta-analysis and found a 30% prevalence of dyslipidemia with OA, which seems much higher than in the non-OA population (8.0%). Furthermore, the meta-analysis revealed an increased risk of dyslipidemia, by 1.98, with than without OA and was observed with knee as well as hand OA. The mean prevalence of dyslipidemia in hand OA was 37.6%±1.6%, much higher than the mean prevalence of 30.2%±0.6% with OA overall. Moreover, the risk of dyslipidemia was increased twofold with hand OA (OR 2.12, 95% CI 1.46 to 3.07). These results again confirm the systemic metabolic component of hand OA, as recently reported in the NEO study.58 The pathophysiological link between hand OA and MetS might be explained by the action of the adipose-tissue source of proinflammatory cytokines and the action of visceral fat.58 Hip OA, defined by joint replacement, was not associated with dyslipidemia possibly because of a selection bias of patients: cardiovascular comorbidities often associated with dyslipidemia might have restricted the indication for surgery due to the perioperative period. Furthermore, mechanical stress is more involved than metabolic stress in this joint. For knee OA, the mean prevalence of dyslipidemia was 27.6%±1.4% and the association between knee OA and dyslipidemia was confirmed with increased risk of dyslipidemia (OR 2.27, 95% CI 1.33 to 3.89). The association between knee OA and MetS is sometimes conflicting. Han et al,27 Inoue et al,30 and Hussain et al37 did not find any positive association possibly because of different OA definitions. A recent study showed that the most important risk factor of knee OA was mechanical stress (before and after adjustment for metabolic factors), which limits the identification of a systemic metabolic component in knee OA. Our meta-analysis has some limitations. The heterogeneity between studies was high, probably because of differences in OA localisations, definition of OA and dyslipidemia, statin therapy could not have been taken into account, and types and quality of studies. Dyslipidemia referred to lipid abnormalities such as hypercholesterolemia, low HDL level, high LDL level or hypertriglyceridemia. Because of the different definitions of dyslipidemia, we chose to define dyslipidemia first by high LDL level, then low HDL level, then hypercholesterolemia and hypertriglyceridemia. To counteract this heterogeneity, we performed sensitivity analyses to check whether the association between OA and dyslipidemia persisted after removing studies with poor methodology and found that the association persisted in all sensitivity analyses. Moreover, the heterogeneity of the studies was assessed by the I² index and we adapted the method to its value. The results of the meta-analysis are not modified by removing the most heterogeneous studies (data not shown). We were not able to integrate confounding factors such as age, BMI, HTA, smoking and physical activity in the overall statistical analysis. Obesity is a major risk factor of development and progression of OA. Obesity increases the risk of OA of the weightbearing joints due to excessive mechanical stress but is also associated with dyslipidemia in MetS.59 We identified seven articles accounting for confounding factors of dyslipidemia and OA: four showed a positive association after adjustment on age and BMI. However, when we meta-analysed the seven articles that reported an age-adjusted and BMI-adjusted OR, there was no association between dyslipidemia and OA, but raw data before adjustment on age and BMI are used. Finally, the impact of statin treatment could not be assessed because of the lack of data concerning its prescription. In fact, we have no details about statin use in dyslipidemic and non-dyslipidemic patients. However, Riddle et al did not find beneficial effect of statins on the structural progress at patients monitored for a knee osteoarthritis.60 In this funnel plot, the distribution of common values is not heterogeneous. Likewise, we can consider that there is no major publication bias in our meta-analysis. We demonstrated an association between dyslipidemia and OA, but the pathophysiological explanation for the causal relationship has not been clearly defined. Experimental studies suggest the existence of lipid metabolism dysfunction in OA. Mice with altered HDL metabolism showed knee OA despite abnormal weight gain.61 Gierman et al showed that dietary cholesterol intake increased spontaneous cartilage damage in mice.62 High LDL levels promote synovial inflammation and ectopic bone formation in mouse OA models.63 Oxidised-LDL (oxLDL) could be involved in the development and progression of OA by stimulating synovial cells (macrophages, synovial fibroblasts and endothelial cells) and chondrocytes. A treatment strategy that lowers the level of oxLDL could be interesting.64 In conclusion, this is the first systematic review and meta-analysis demonstrating an association between OA and dyslipidemia, which illustrates the role of metabolic disturbances beyond glucose metabolism in OA pathophysiology. Such a study emphasises the need to screen and manage cardiovascular comorbidities in patients with OA in clinical practice.
Table 4

Main results of prevalence of dyslipidemia and mean lipid-level values in patients with osteoarthritis (OA) and non-OA patients

Prevalence of dyslipidemiaMean CT level (mg/dL)Mean high-density lipoprotein level (mg/dL)Mean low-density lipoprotein level (mg/dL)Mean triglyceride level (mg/dL)
OA+ population30.2%±0.7% n=14 823 n=28245±25.1 n=6037 n=1454.4±8.9 n=5856 n=18126.5±20.7 n=656 n=9137.3±80.3 n=2406 n=15
OA– population8.0%±0.1% n=196 168 n=13233.1±17.5 n=3763 n=353.1±7.5 n=412 n=7136.9±15.9 n=451 n=2131±27.3 n=3460 n=6
  51 in total

1.  Radiographic osteoarthritis and serum cholesterol.

Authors:  Abdurhman S Al-Arfaj
Journal:  Saudi Med J       Date:  2003-07       Impact factor: 1.484

2.  New International Diabetes Federation (IDF) and National Cholesterol Education Program Adult Treatment panel III (NCEP-ATPIII) criteria and the involvement of hemostasis and fibrinolysis in the metabolic syndrome.

Authors:  I Mertens; L F Van Gaal
Journal:  J Thromb Haemost       Date:  2006-05       Impact factor: 5.824

3.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  J Clin Epidemiol       Date:  2008-04       Impact factor: 6.437

Review 4.  Association between weight or body mass index and hand osteoarthritis: a systematic review.

Authors:  Erlangga Yusuf; Rob G Nelissen; Andreea Ioan-Facsinay; Vedrana Stojanovic-Susulic; Jeroen DeGroot; Gerjo van Osch; Saskia Middeldorp; Tom W J Huizinga; Margreet Kloppenburg
Journal:  Ann Rheum Dis       Date:  2009-05-31       Impact factor: 19.103

5.  Do metabolic factors add to the effect of overweight on hand osteoarthritis? The Rotterdam Study.

Authors:  S Dahaghin; S M A Bierma-Zeinstra; B W Koes; J M W Hazes; H A P Pols
Journal:  Ann Rheum Dis       Date:  2007-02-21       Impact factor: 19.103

6.  Risk assessment for coronary heart disease in rheumatoid arthritis and osteoarthritis.

Authors:  N Erb; A V Pace; K M J Douglas; M J Banks; G D Kitas
Journal:  Scand J Rheumatol       Date:  2004       Impact factor: 3.641

7.  C-reactive protein, metabolic syndrome and incidence of severe hip and knee osteoarthritis. A population-based cohort study.

Authors:  G Engström; M Gerhardsson de Verdier; J Rollof; P M Nilsson; L S Lohmander
Journal:  Osteoarthritis Cartilage       Date:  2008-08-29       Impact factor: 6.576

Review 8.  AGEing and osteoarthritis: a different perspective.

Authors:  Nicole Verzijl; Ruud A Bank; Johan M TeKoppele; Jeroen DeGroot
Journal:  Curr Opin Rheumatol       Date:  2003-09       Impact factor: 5.006

9.  Assessment of paraoxonase activities in patients with knee osteoarthritis.

Authors:  Neslihan Soran; Ozlem Altindag; Hale Cakir; Hakim Celik; Ahmet Demirkol; Nurten Aksoy
Journal:  Redox Rep       Date:  2008       Impact factor: 4.412

10.  Knee osteoarthritis in obese women with cardiometabolic clustering.

Authors:  Maryfran Sowers; Carrie A Karvonen-Gutierrez; Riann Palmieri-Smith; Jon A Jacobson; Yebin Jiang; James A Ashton-Miller
Journal:  Arthritis Rheum       Date:  2009-10-15
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  13 in total

1.  Investigating the Association of Metabolic Biomarkers With Knee Cartilage Composition and Structural Abnormalities Using MRI: A Pilot Study.

Authors:  Walid Ashmeik; Joe D Baal; Sarah C Foreman; Gabby B Joseph; Emma Bahroos; Misung Han; Roland Krug; Thomas M Link
Journal:  Cartilage       Date:  2020-08-06       Impact factor: 3.117

2.  Prevalence of Cardiovascular Risk Factors in Osteoarthritis Patients Derived from Primary Care Records: A Systematic Review of Observational Studies.

Authors:  Xiaoyang Huang; Ross Wilkie; Mamas A Mamas; Dahai Yu
Journal:  J Diabetes Clin Res       Date:  2021-09-27

3.  Effects of Comorbid Cardiovascular Disease and Diabetes on Hand Osteoarthritis, Pain, and Functional State Transitions: The Johnston County Osteoarthritis Project.

Authors:  Zachary A Scherzer; Carolina Alvarez; Jordan B Renner; Louise B Murphy; Todd A Schwartz; Joanne M Jordan; Yvonne M Golightly; Amanda E Nelson
Journal:  J Rheumatol       Date:  2020-02-15       Impact factor: 4.666

4.  Association between osteoarthritis and increased risk of dementia: A systemic review and meta-analysis.

Authors:  Adrian Weber; Shing Hung Mak; Francis Berenbaum; Jérémie Sellam; Yong-Ping Zheng; Yifan Han; Chunyi Wen
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.817

5.  Protective effect of prebiotic and exercise intervention on knee health in a rat model of diet-induced obesity.

Authors:  Jaqueline Lourdes Rios; Marc R Bomhof; Raylene A Reimer; David A Hart; Kelsey H Collins; Walter Herzog
Journal:  Sci Rep       Date:  2019-03-07       Impact factor: 4.379

6.  Low back pain precedes the development of new knee pain in the elderly population; a novel predictive score from a longitudinal cohort study.

Authors:  Hiromu Ito; Shinjiro Tominari; Yasuharu Tabara; Takeo Nakayama; Moritoshi Furu; Tomotoshi Kawata; Masayuki Azukizawa; Kazuya Setoh; Takahisa Kawaguchi; Fumihiko Matsuda; Shuichi Matsuda
Journal:  Arthritis Res Ther       Date:  2019-04-15       Impact factor: 5.156

7.  Association of Serum Low-Density Lipoprotein, High-Density Lipoprotein, and Total Cholesterol With Development of Knee Osteoarthritis.

Authors:  Jessica L Schwager; Michael C Nevitt; James Torner; Cora E Lewis; Nirupa R Matthan; Na Wang; Xianbang Sun; Alice H Lichtenstein; David Felson
Journal:  Arthritis Care Res (Hoboken)       Date:  2022-01-08       Impact factor: 4.794

Review 8.  Nanotechnological Strategies for Osteoarthritis Diagnosis, Monitoring, Clinical Management, and Regenerative Medicine: Recent Advances and Future Opportunities.

Authors:  Reza Mohammadinejad; Milad Ashrafizadeh; Abbas Pardakhty; Ilona Uzieliene; Jaroslav Denkovskij; Eiva Bernotiene; Lauriane Janssen; Gabriela S Lorite; Simo Saarakkala; Ali Mobasheri
Journal:  Curr Rheumatol Rep       Date:  2020-04-04       Impact factor: 4.592

9.  Treat-to-target strategy for knee osteoarthritis. International technical expert panel consensus and good clinical practice statements.

Authors:  Alberto Migliore; Gianfranco Gigliucci; Liudmila Alekseeva; Sachin Avasthi; Raveendhara R Bannuru; Xavier Chevalier; Thierry Conrozier; Sergio Crimaldi; Nemanja Damjanov; Gustavo Constantino de Campos; Demirhan Diracoglu; Gabriel Herrero-Beaumont; Giovanni Iolascon; Ruxandra Ionescu; Natasa Isailovic; Jörg Jerosch; Jorge Lains; Emmanuel Maheu; Souzi Makri; Natalia Martusevich; Marco Matucci Cerinc; Mihaela Micu; Karel Pavelka; Robert J Petrella; Umberto Tarantino; Raghu Raman
Journal:  Ther Adv Musculoskelet Dis       Date:  2019-12-19       Impact factor: 5.346

Review 10.  Hyperlipidemia and Statin Use on the Progression of Osteoarthritis: A Systematic Review.

Authors:  Swetha Nukala; Suvarna Rekha Puvvada; Enkhmaa Luvsannyam; Dhara Patel; Pousette Hamid
Journal:  Cureus       Date:  2021-06-28
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