Literature DB >> 33544304

Database Analysis on the Relationships Between Nonsteroidal Anti-inflammatory Drug Treatment Variables and Incidence of Acute Myocardial Infarction in Japanese Patients with Osteoarthritis and Chronic Low Back Pain.

Shogo Kikuchi1, Kanae Togo2, Nozomi Ebata3, Koichi Fujii3, Naohiro Yonemoto3, Lucy Abraham4, Takayuki Katsuno5.   

Abstract

INTRODUCTION: We aimed to analyze the relationships between nonsteroidal anti-inflammatory drug (NSAID) treatment variables and the incidence of acute myocardial infarction (AMI) in Japanese patients with osteoarthritis (OA) and chronic low back pain (CLBP) using the data from a large-scale, real-world database.
METHODS: We retrospectively analyzed anonymized claims data from the Japanese Medical Data Center of medical insurance beneficiaries who were prescribed NSAIDs for OA and/or CLBP from 2009 to 2018.
RESULTS: Of 180,371 patients, 89.3% received NSAIDs as first-line analgesics (oral, 90.3%; patch, 80.4%; other transdermal drugs, 24.0%). Incidence of AMI was 10.27 per 10,000 person-years (95% confidence interval 9.20-11.34) in the entire study population. There was a trend towards increased risk in patients using NSAIDs for more than 5 years (P = 0.0784) than in those using NSAIDs for less than 1 year. Risk of AMI significantly increased with age and comorbidities of diabetes and cardiovascular disease (CVD). The risk for AMI was similar for patients who consistently used NSAIDs compared to those using them intermittently and patients who used patch compared to oral NSAIDs. Elderly patients used NSAIDs more consistently and used NSAID patches more frequently.
CONCLUSION: In Japanese patients with OA and CLBP, we saw a trend of increased risk for AMI in patients using NSAIDs for more than 5 years. Elderly patients had a higher prevalence of diabetes, hypertension, and other CVD which increased the risk of AMI. Although NSAID patches were preferred to oral NSAIDs in elderly patients, risk for AMI was similar between the two modalities. Therefore, we suggest using NSAIDs carefully, especially in elderly patients and those at risk of developing CVD.

Entities:  

Keywords:  Acute myocardial infarction; Cardiovascular events; Chronic low back pain; Nonsteroidal anti-inflammatory drugs; Osteoarthritis

Mesh:

Substances:

Year:  2021        PMID: 33544304      PMCID: PMC7932944          DOI: 10.1007/s12325-021-01629-6

Source DB:  PubMed          Journal:  Adv Ther        ISSN: 0741-238X            Impact factor:   3.845


Key Summary Points

Plain Language Summary

Nonsteroidal anti-inflammatory drugs (NSAIDs) are commonly used medications for relieving pain in patients with osteoarthritis (OA) and/or chronic low back pain (CLBP); however, their use is limited by some side effects. These side effects include abdominal, heart, and kidney dysfunction. This article describes a database study in Japanese patients with OA and CLBP that explored incidence of acute heart attack associated with NSAID use. Impact of NSAID treatment duration, mode of administration, and usage consistency on the risk of developing cardiovascular events was evaluated. The results suggest that NSAID treatment duration of more than 5 years affects the risk of acute heart attack, and age and comorbid diabetes, hypertension, and other cardiovascular disease significantly increase this risk. Meanwhile, elderly patients used NSAIDs more consistently and used patches more frequently. The authors of the study suggest that NSAIDs need to be used carefully, especially in elderly patients and those at risk of developing heart diseases.

Digital Features

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Introduction

Approximately one in three people worldwide live with a chronic and painful musculoskeletal condition caused by disorders of the bones, joints, muscles, tendons, ligaments, bursae, or their combination [1-3]. Osteoarthritis (OA) and chronic low back pain (CLBP) are the most common musculoskeletal conditions that significantly contribute to the global burden of years lived with disability [1, 4, 5]. Causes of low back pain are diverse and include herniated discs, disc degeneration, spondylotic changes, vertebral fractures and dislocations, osteoporosis, and psychological and social factors [6, 7]. In Japan, OA affects approximately 25.3 million individuals aged over 40 years and the prevalence of CLBP is estimated to be approximately 24.8% in individuals older than 50 years [8, 9]. Both OA and CLBP adversely impact healthy aging of individuals by limiting their physical and functional abilities; therefore, managing chronic pain is of the utmost importance, particularly in Japan where the median age of the population is 48.4 years, the highest in the world [10, 11]. Surgical therapy, non-pharmacological therapy (exercise, gait aids, cognitive behavioral therapy, and self-management programs), and pharmacological therapy are available management options for treating pain associated with OA and CLBP [12-15]. An analysis using data from hospital-based administrative databases showed that approximately 90% of patients with chronic musculoskeletal pain were prescribed non-steroidal anti-inflammatory drugs (NSAIDs) in Japan [16]. Transdermal NSAID patches have demonstrated a superior safety profile over oral NSAIDs, and are recommended as first-line treatment for knee and hip OA by the Osteoarthritis Research Society International (OARSI) guidelines [13, 14, 17–19]. NSAIDs are also commonly recommended and prescribed for CLBP in Japan. NSAIDs exhibit anti-inflammatory action via inhibition of cyclooxygenase (COX), COX-1 and COX-2 being the two major isoforms, which catalyze the production of prostanoids that sensitize the nociceptors and also mediate a variety of other biological effects [20]. Use of NSAIDs is associated with gastrointestinal, renal, and cardiovascular (CV) safety events. Several meta-analyses and systematic reviews have shown that NSAIDs increase the risk of developing acute myocardial infarction (AMI), heart failure, and hemorrhagic stroke [21-23]. Several studies point towards the increased CV risk being a class effect of NSAIDs and this is further supported by two meta-analyses showing that both COX-2-selective and nonselective NSAIDs increase the risk of CV adverse events by 30% and 42%, respectively [24, 25]. A meta-analysis showed that patients with OA are at 24% increased risk of developing CV disease compared to those without OA [26], and NSAIDs have been shown to contribute to this increase in CV risk in patients with OA [27]. Similarly, NSAID use has been found to be associated with increased risk of ischemic stroke in patients with CLBP [28]. Although the association between NSAID use and CV events is reported in controlled clinical studies, this association has not been thoroughly investigated in real-world settings in Japan, most likely because of the lower occurrence of CV events in the Japanese population (ca. 0.1–0.5%) [29]. However, since most Japanese patients with OA or CLBP use NSAIDs for pain relief, estimating the incidence of CV events and the impact of NSAID use in these patients is of significant clinical relevance [29]. Accordingly, we set out to determine the association between the incidence of CV events and different NSAID treatment variables like treatment duration, mode of administration, and usage consistency in Japanese patients with OA and CLBP using a large administrative database. For CV events, we examined AMI, which is often examined for the association between NSAIDs and CV risk [30].

Methods

Study Design and Data Sources

This was a retrospective, longitudinal, observational cohort study, using claims from the Japan Medical Data Center (JMDC). JMDC is the largest claims database commercially available in Japan that records all claims across multiple medical institutions and can also track patients who have changed medical institutions. The database contains claims data from approximately 7.2 million inpatients and outpatients, and pharmacy claims from medical institutions made by Japanese health insurance companies for employees and their family members who are at most 75 years old. JMDC contains anonymized information about diagnoses, patient characteristics, drug prescriptions, medical procedures, features of medical facilities, and reimbursement costs. All patient data are encrypted before entry. Diseases are coded according to Japanese Claims Codes and the coding scheme of the World Health Organization International Classification of Diseases, 10th revision (ICD-10). For this study, eligible patients were aged at least 18 years at the index date, with an initial ICD-10 diagnosis of OA (ICD-10 codes M16 and M17) or CLBP (at least two ICD-10 low back pain diagnoses [M40, M41, M43, M45–M48, and M50–M54] at least 1 month apart within the previous 3 months), and with evidence of visiting healthcare facilities in the administrative databases between January 1, 2009 and December 31, 2018. Patients with comorbidity of malignancy (ICD10 codes C00–C97, D00–D09) after the initial diagnosis of OA or CLBP were excluded. Moreover, patients diagnosed with CLBP but having other diagnoses like neck pain, radiculopathy and myelopathy, infection, vascular disease, acute low back pain, and limb symptoms were excluded from this analysis (detailed ICD codes are described in Table S1 in the electronic supplementary material). The index date was defined as the date when the first prescription of analgesic was given after initial diagnosis of OA or CLBP. Those patients taking two or more prescriptions of the same or different analgesic with at least a 1-month gap after initial OA/CLBP diagnosis, and 6 months of baseline period with no prescriptions for analgesic were also included. As this study involved anonymized structured data, no informed consent was sought from patients. The study is reported in compliance with the REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement [31].

Exposure

Series of treatment consisted of single or multiple treatment periods per the prescription with the same class of pain drugs and up to a 3-month gap between the initial date of the prescription and the end date of the previous prescription. Exposure period was defined as a combination of series of NSAID treatment plus 3 months that ended the day when the first CV event occurred. The NSAID treatment variables were duration of treatment, mode of administration (oral drugs, patch, other transdermal drugs), and consistency of NSAID use. Categories of treatment duration were > 0 to 1 year, > 1 to ≤ 3 years, > 3 to ≤ 5 years, and > 5 years. Consistent NSAID use was defined as a percentage of the number of supply days in the total treatment duration of at least 70%, and intermittent use was identified as a percentage of the number of supply days in a total treatment duration of less than 70%.

Study Outcomes

The incidence of CV events was assessed. CV events were defined as the occurrence of AMI at any time during exposure period and their diagnostic codes are presented in Table S2 in the electronic supplementary material. Since other CV diseases such as angina and heart failure are commonly recorded in elderly patients in the claims data for tests and prescriptions, those were excluded from the definition of CV events in this study to estimate a more accurate incidence.

Statistical Analysis

All patients who met the eligibility criteria were included in the analysis set. Continuous variables were summarized using descriptive statistics or frequencies with percentages for dichotomous and polychotomous variables of categorical data. The crude incidence (per 10,000 person-years) for AMI and its 95% confidence interval (CI) were calculated. The incidence rate was calculated as the number of patients who experienced AMI divided by the total exposure period. We also performed a subgroup analysis for patients aged less than 65 years and patients aged 65 years or more. The effect of treatment regimen of NSAIDs on the risk of AMI using risk ratios was evaluated by an overdispersed Poisson regression model using the SAS GLIMMIX procedure with the log link function and the logarithm of the exposure period as an offset. Covariates included age, gender, baseline comorbidities, and preventive drugs that were prescribed. Analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC, USA). An alpha level of 0.05 was considered statistically significant.

Ethics Statement

As this study involved anonymized structured data, which according to applicable legal requirements did not contain data subject to privacy laws, obtaining informed consent from patients was not required. As Japanese ethical guidelines for medical and health research involving human subjects [32] do not apply to studies that use anonymized secondary data, this study was not reviewed by any institutional review board/research ethics committee.

Results

Patient Disposition

Between January 2009 and December 2018, 628,488 patients in the JMDC database were diagnosed with OA and/or CLBP, of which 526,987 were prescribed one or more analgesics at least twice. After exclusion of patients aged less than 18 years and those with prescription of analgesic within 6 months of index date or those with malignancy, 180,371 patients were included in the analysis. Patient demographics, clinical characteristics, and NSAID use are described in Table 1. A total of 32.9% patients had OA, 53.8% had CLBP, and 13.4% had both OA and CLBP. Prevalence of comorbid GI disease was 7.9%; renal disease, 0.8%; hypertension, 21.9%; other CV disease, 13.4%; and diabetes 11.8%. Patients aged 65 years or more (N = 14,433) were predominantly female (54.5% vs. 48.1%), had a higher prevalence of diabetes (26.6% vs. 10.5%), hypertension (49.1% vs. 19.5%), and other CV disease (32.4% vs. 11.8%) compared to those aged less than 65 years. Patient characteristics remained similar across OA and CLBP subgroups (Table S3 in the electronic supplementary material).
Table 1

Demographic characteristics, treatment duration, mode of administration, and consistency of NSAID use

CharacteristicsAll patients (N = 180,371)Patients < 65 years (N = 165,938)Patients ≥ 65 years (N = 14,433)
Age at index date, mean ± SD (years)49.3 ± 11.847.7 ± 10.868.2 ± 2.8
Men, n (%)92,650 (51.4)86,079 (51.9)6571 (45.5)
Follow-up duration, median (IQR) (days)857.0 (433.0, 1460.0)884.0 (450.0, 1491.0)610.0 (308.0, 1086.0)
Comorbidities, n (%)
 GI disease14,285 (7.9)12,407 (7.5)1878 (13.0)
 Renal disease1454 (0.8)1183 (0.7)271 (1.9)
 CV disease (excluding hypertensive disease)24,238 (13.4)19,560 (11.8)4678 (32.4)
 Hypertension39,413 (21.9)32,321 (19.5)7092 (49.1)
 Diabetes mellitus21,240 (11.8)17,405 (10.5)3835 (26.6)
 NSAIDs as first-line analgesics161,152 (89.3%)148,146 (89.3)13,006 (90.1)
Patients stratified by treatment duration, mean ± SD (years)
 > 0 to ≤ 1152,408 (84.5)140,732 (84.8)11,676 (80.9)
 > 1 to ≤ 37449 (4.1)6326 (3.8)1123 (7.8)
 > 3 to ≤ 51022 (0.6)849 (0.5)173 (1.2)
 > 5273 (0.2)239 (0.1)34 (0.2)
Consistent use of NSAIDsa, n (%)33,795 (21.0)29,724 (20.1)4071 (31.3)
Mode of administration of first-line NSAIDs, n (%)
 Oral145,597 (90.3)135,074 (91.2)10,523 (80.9)
 Patch129,591 (80.4)118,328 (79.9)11,263 (86.6)
 Other transdermal38,648 (24.0)35,126 (23.7)3522 (27.1)
 Suppository18,580 (11.5)17,418 (11.8)1162 (8.9)

CV cardiovascular, GI gastrointestinal, IQR interquartile range, NSAID nonsteroidal anti-inflammatory drug

aDefined as percentage of supply days ≥ 70%

Demographic characteristics, treatment duration, mode of administration, and consistency of NSAID use CV cardiovascular, GI gastrointestinal, IQR interquartile range, NSAID nonsteroidal anti-inflammatory drug aDefined as percentage of supply days ≥ 70%

First-Line NSAID Use

NSAIDs were administered as first-line analgesics to 161,152 (89.3%) patients. Oral NSAIDs were used in 90.3% of patients, patch NSAIDs in 80.4%, and other transdermal drugs (cream, gel, liquid, lotion, ointment) in 24.0%. The proportion of patients using a combination of oral and topical (patches, other transdermal, and suppository) NSAIDs was 88.6%. Oral NSAIDs were used in combination with patch NSAIDs in 65.1% of patients, and in combination with other transdermal NSAIDs in 14.5%. Overall, 83.7% of patients had been using NSAIDs for up to 1 year. Consistent use of NSAIDs was reported in 21% of patients and the use of patch NSAIDs was more consistent than oral NSAIDs in each stratum of the treatment duration (Table 2). Irrespective of the mode of administration, NSAIDs were used more consistently in patients aged 65 years or more than in those aged less than 65 years (31.3% vs. 20.1%). Moreover, NSAID patches were used more frequently (86.6% vs. 79.9%) in patients aged 65 years or more than in those aged less than 65 years (Table 1).
Table 2

Consistent use of NSAIDs (total supplied days ≥ 70%) stratified as per treatment duration and mode of administration

Mode of administrationTreatment duration (years)
> 0 to ≤ 1> 1 to ≤ 3> 3 to ≤ 5> 5Total
Any20.7 (27,989/135,036)19.0 (4205/22,131)36.4 (1171/3221)56.3 (430/764)21.0 (33,795/161,152)
Oral alone22.2 (4563/20,597)15.9 (148/931)27.1 (29/107)37.5 (6/16)21.9 (4746/21,651)
Patch alone55.6 (5449/9804)45.5 (625/1375)65.8 (77/117)70.6 (12/17)54.5 (6163/11,313)
Other transdermal drugs alone41.8 (361/864)0.0 (0/19)0.0 (0/2)0.0 (0/0)40.8 (361/885)
Suppository alone42.5 (133/313)0.0 (0/3)0.0 (0/0)0.0 (0/0)42.1 (133/316)

Data presented as % (n/N). N represents total number of patients with data in a given stratum of treatment duration, n represents number of patients who consistently used (total supplied days ≥ 70%) in a given stratum of treatment duration

Consistent use of NSAIDs (total supplied days ≥ 70%) stratified as per treatment duration and mode of administration Data presented as % (n/N). N represents total number of patients with data in a given stratum of treatment duration, n represents number of patients who consistently used (total supplied days ≥ 70%) in a given stratum of treatment duration

Cardiovascular Events

The overall incidence rate of AMI was 10.27 per 10,000 person-years (95% CI 9.20, 11.34) (Table 3). The risk of AMI in patients using NSAIDs for more than 5 years was nearly twice compared to those using NSAIDs for less than 1 year (risk ratio [RR] 1.92, 95% CI 1.05, 3.52; P = 0.0346). The incidence of AMI was similar in patients who used NSAIDs consistently compared to those who did not (RR 1.18, 95% CI 0.85, 1.62; P = 0.3257) and in those who used patch NSAIDs compared to oral (RR 1.20, 95% CI 0.67, 2.14; P = 0.5347) (Table 4). When all three variables of NSAIDs were included in the model, none was statistically non-significant (e.g., P = 0.078 for use for more than 5 years) (Table 5). On the contrary, the majority of patient-related factors were found to increase the risk of AMI: the incidence of AMI was higher in patients aged 65 years or more than in those aged less than 65 years (20.97 [95% CI 15.04, 26.91] vs. 9.51 [8.45, 10.58]). The association was found to be statistically significant in model analysis and the risk was 4- to 16-fold higher in patients aged at least 40 years compared to those aged less than 40 years (Table 5). The risk of developing AMI was estimated to be 56% higher in patients with hypertension compared to those without in model analysis (RR 1.56, 95% CI 1.09, 2.23; P = 0.0156). Similarly, the risk was higher in patients with baseline CV comorbidities, albeit excluding hypertension (RR 2.78, 95% CI 2.07, 3.73; P < 0.0001) and in patients with diabetes compared to patients without (RR 1.71, 95% CI 1.18, 2.48; P = 0.0049). Per model analysis, the risk of developing AMI was higher in men (RR 2.96, 95% CI 2.31, 3.78; P < 0.0001). The pattern of CV events was similar in patients with OA and patients with CLBP (Table S4 in the electronic supplementary material). Overall, in the model analysis, among patient-related factors, the relative risk was higher for age compared to other factors, indicating older age to be a significant contributor to increase in the risk of AMI (Table 5).
Table 3

Incidence of CV events

CV eventsAll patients
NanIncidence rate per 10,000 person-years (95% CI)
Total160,72635510.27 (9.20, 11.34)
Treatment duration, year< 1134,6962419.68 (8.45, 10.90)
> 1 to ≤ 322,0588711.53 (9.11, 13.96)
> 3 to ≤ 532081610.01 (5.10, 14.91)
> 57641121.66 (8.86, 34.46)
Percentage of supply days< 70%127,0413129.84 (8.74, 10.93)
≥ 70%33,6854315.18 (10.64, 19.71)
Mode of administrationOral21,607288.75 (5.51, 11.99)
Patch11,2602016.80 (9.44, 24.16)
Other127,85930710.18 (9.04, 11.32)
Combination of oral and topicalYes69,6161298.87 (7.34, 10.40)
No91,11022611.30 (9.82, 12.77)

Incidence rate is presented as per 10,000 person-years (95% CI); N represents total population and n represents patients with event

CI confidence interval, CV cardiovascular

aPatients who had diagnosis of gastrointestinal events at baseline were excluded from the analysis

Table 4

Effect of each NSAID variable on CV risk adjusting covariates

Model variableCategoriesRisk ratio (95% CI)P value
Duration of NSAIDs treatmentvs. < 1 year
> 1 to ≤ 31.03 (0.81, 1.32)0.8148
> 3 to ≤ 50.84 (0.50, 1.39)0.4861
> 51.92 (1.05, 3.52)0.0346
Consistent use of NSAIDsConsistent use of NSAIDs (percentage of supply days ≥ 70%) vs. < 70%1.18 (0.85, 1.62)0.3257
Mode of administrationvs. oral
Patch1.20 (0.67, 2.14)0.5347
Other1.04 (0.70, 1.54)0.8598
Combination use0.86 (0.70, 1.55)0.3324

Each NSAIDs variable was tested respectively using models adjusted for covariates of age, gender, baseline comorbidities of GI, renal disease, hypertension, other CV disease, and diabetes mellitus all together

CI confidence interval, CV cardiovascular, GI gastrointestinal, NSAIDs nonsteroidal anti-inflammatory drugs

Table 5

Multivariate model analysis for CV events

Risk ratio (95% CI)P value
Age in years, vs. 18 to < 30
 30 to < 401.46 (0.41, 5.24)0.5596
 40 to < 504.21 (1.32, 13.41)0.0150
 50 to < 608.59 (2.73, 26.97)0.0002
 60 to < 7010.72 (3.39, 33.96)< 0.0001
 70 to ≤ 7515.80 (4.62, 54.05)< 0.0001
Male gender vs. female2.96 (2.31, 3.78)< 0.0001
Baseline GI comorbidities1.25 (0.79, 1.98)0.3328
Baseline renal comorbidities0.83 (0.20, 3.40)0.7945
Baseline CV comorbidities2.78 (2.07, 3.73)< 0.0001
Baseline hypertension1.56 (1.09, 2.23)0.0156
Baseline diabetes mellitus1.71 (1.18, 2.48)0.0049
Duration of treatment in years vs. < 1 year
 > 1 to ≤ 31.01 (0.79, 1.30)0.9318
 > 3 to ≤ 50.80 (0.47, 1.34)0.3921
 > 51.77 (0.94, 3.35)0.0784
Chronic use of NSAIDs (percentage of supply days ≥ 70%) vs . < 70%1.13 (0.79, 1.60)0.5004
Mode of administration compared to oral
 Patch1.16 (0.65, 2.09)0.6145
 Other1.03 (0.69, 1.54)0.8827
 Combination use0.81 (0.54, 1.22)0.3166

CI confidence interval, CV cardiovascular, GI gastrointestinal, NSAIDs nonsteroidal anti-inflammatory drugs

Incidence of CV events Incidence rate is presented as per 10,000 person-years (95% CI); N represents total population and n represents patients with event CI confidence interval, CV cardiovascular aPatients who had diagnosis of gastrointestinal events at baseline were excluded from the analysis Effect of each NSAID variable on CV risk adjusting covariates Each NSAIDs variable was tested respectively using models adjusted for covariates of age, gender, baseline comorbidities of GI, renal disease, hypertension, other CV disease, and diabetes mellitus all together CI confidence interval, CV cardiovascular, GI gastrointestinal, NSAIDs nonsteroidal anti-inflammatory drugs Multivariate model analysis for CV events CI confidence interval, CV cardiovascular, GI gastrointestinal, NSAIDs nonsteroidal anti-inflammatory drugs

Discussion

To the best of our knowledge, this is the first real-world study reporting the incidence of AMI in patients treated with NSAIDs using data from a large administrative database in Japan. There was a trend towards increasing risk of AMI in patients using NSAIDs for more than 5 years compared with those using for less than 1 year. The incidence of AMI was numerically higher in patients using NSAIDs consistently compared to those receiving them intermittently; however, this increase in risk was not statistically significant. Among the patient-related factors, age exerted a very large effect on the risk of developing AMI. Male gender and comorbidities including diabetes, hypertension, and other CV disease were found to increase the incidence of AMI. The incidence of AMI reported in our study is in line with prior studies. The incidence of MI was 26/10,000 person-years in patients using ibuprofen in a study by Patel et al. [33]. In a 3-year nationwide observational study in Japan, the incidence of CV events including MI, angina pectoris, heart failure, cerebral infarction, and cerebral hemorrhage was 6.8/1000 person-years and the incidence of MI alone was 0.4/1000 person-years in patients with OA and rheumatoid arthritis with the use of NSAIDs [29]. It was estimated that of 1000 patients who receive NSAIDs for 3 years, one will have a fatal vascular event; when 1000 high-risk patients are treated with NSAIDs for 1 year, seven or eight will experience a major vascular event, of which two events could be fatal [34]. Moreover, patients with OA and CLBP are known to exhibit elevated CV risk [26-28]. Therefore, OA and CLBP management guidelines recommend that oral NSAIDs should be used intermittently [18, 35]. Comorbidities of diabetes, hypertension, and other CV disease significantly increased the risk of AMI in our study. Evidence shows that patients with preexisting CV disease such as hypertension, AMI, heart failure, and history of stroke have greater risk of developing CV events when treated with NSAIDs [36-40]. Among the patient-related factors that increased the risk of AMI in our study, age had the highest risk ratio indicating it to be an important factor mediating CV risk of NSAIDs. As pain is common in the elderly population, and OA and CLBP affect two-thirds of this group, these patients are more likely to use NSAIDs, but they may not be aware of avoiding NSAIDs if they have pre-existing CV disease [41]. Therefore, in patients with CV comorbidities, use of any oral NSAID is not recommended by OARSI guidelines [18]. This is in line with the evidence that shows age as an independent predictor of CV disease including MI [42, 43]. A clear trend for higher prevalence of OA and CLBP with increasing age has been shown in several systematic reviews and meta-analyses [44-46]. Risk of AMI in patients using NSAIDs for more than 5 years was significantly larger (P = 0.035) compared with those using for less than 1 year but the significance was lost (P = 0.078) when all three NSAIDs treatment factors were adjusted for. Thus, these results may not be conclusive for the effect of NSAID treatment duration on AMI risk because of confounding but they do appear to indicate the trend. The plausible reasons for the unclear association could be a much higher impact of age and comorbidities on CV risk and a relatively longer time to develop AMI [47]. Further studies with longer duration of NSAID use, such as more than 10 years, would better substantiate the results. In addition, there may be other confounding factors such as severity of OA; however, such information is not available in the claims database. In this study, elderly patients used NSAIDs consistently and used NSAID patches more frequently than oral NSAIDs. Simple subgroup analysis showed higher AMI risk in patients consistently using NSAIDs despite no clear association observed in the multivariate analysis that could be confounded by age. Understandably, since patients with OA and CLBP are high-risk elderly patients who consistently use NSAIDs over the long term and prefer patches to oral, their NSAID prescriptions should be monitored carefully. Indeed, in patients who are at high risk of CV events, consistent use of NSAIDs should be avoided. Although NSAID patches are considered safer than oral/systemic use of NSAIDs, the risk of AMI was similar in patients using patch or oral NSAIDs in our study. Given that NSAID patches tend to be used more consistently, care should be taken even when using this form of treatment. The major strength of the present study is the use of data from a large administrative claims database that allows estimation of events that have a low occurrence rate. In the absence of medical chart information, unavailability of data for the elderly (over 65 years of age), and the severity of disease, and confounding by other factors such as alcohol consumption and smoking in the model analysis were limitations that might lead to bias in estimating the association between risk of AMI and NSAID exposure, and thus would not permit generalization of data for all patients with OA and CLBP. The claims database used in this study does not capture information of patient deaths and is thereby another important limitation. The choice of cutoff for NSAID treatment duration and the definition of consistent use could be a potential bias in interpreting the results.

Conclusion

In this real-world study of a Japanese population, we could see a trend towards increased risk for AMI in patients treated with any NSAID formulation for more than 5 years. No clear association between consistent use of NSAIDs and the risk of AMI was observed. Elderly patients with OA and CLBP using NSAIDs have a higher prevalence of comorbidities of diabetes, hypertension, and other CV disease which increases the risk of AMI. Although there was a preference for NSAID patches to oral NSAIDs owing to better safety, our results showed that the risk for AMI is similar between the two modalities. The use of NSAIDs is more consistent in elderly patients. Thus, we suggest NSAIDs need to be used carefully, especially in elderly patients and those at risk of developing CV disease. Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 45 KB)
Why carry out this study?
Patients with osteoarthritis (OA) and/or chronic low back pain (CLBP) require long-term nonsteroidal anti-inflammatory drugs (NSAIDs) use. However, the side effects of long-term NSAIDs use limit its benefits in these patients.
We aimed to assess health burden of cardiovascular events associated with NSAID use in Japanese patients with OA and/or CLBP.
What was learned from the study?
This retrospective database study shows that prolonged NSAID use increases risk of acute myocardial infarction.
Elderly patients and patients with diabetes, hypertension, and other cardiovascular disease are at increased risk for acute myocardial infarction.
  33 in total

1.  Use and costs of prescription medications and alternative treatments in patients with osteoarthritis and chronic low back pain in community-based settings.

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Journal:  Curr Pain Headache Rep       Date:  2019-03-11

Review 3.  The Global Burden of Musculoskeletal Pain-Where to From Here?

Authors:  Fiona M Blyth; Andrew M Briggs; Carmen Huckel Schneider; Damian G Hoy; Lyn M March
Journal:  Am J Public Health       Date:  2018-11-29       Impact factor: 9.308

Review 4.  [Epidemiology of osteoarthritis in Japan : the ROAD study].

Authors:  Noriko Yoshimura
Journal:  Clin Calcium       Date:  2011-06

5.  Treatment and Healthcare Cost Among Patients with Hip or Knee Osteoarthritis: A Cross-sectional Study Using a Real-world Claims Database in Japan Between 2013 and 2019.

Authors:  Nozomi Ebata-Kogure; Aya Murakami; Kazutaka Nozawa; Koichi Fujii; Yingsong Lin; Takahiro Ushida; Shogo Kikuchi
Journal:  Clin Drug Investig       Date:  2020-11       Impact factor: 2.859

6.  Common chronic pain conditions in developed and developing countries: gender and age differences and comorbidity with depression-anxiety disorders.

Authors:  Adley Tsang; Michael Von Korff; Sing Lee; Jordi Alonso; Elie Karam; Matthias C Angermeyer; Guilherme Luiz Guimaraes Borges; Evelyn J Bromet; K Demytteneare; Giovanni de Girolamo; Ron de Graaf; Oye Gureje; Jean-Pierre Lepine; Josep Maria Haro; Daphna Levinson; Mark A Oakley Browne; Jose Posada-Villa; Soraya Seedat; Makoto Watanabe
Journal:  J Pain       Date:  2008-07-07       Impact factor: 5.820

Review 7.  Prevalence of frailty in Japan: A systematic review and meta-analysis.

Authors:  Gotaro Kojima; Steve Iliffe; Yu Taniguchi; Hiroyuki Shimada; Hiromi Rakugi; Kate Walters
Journal:  J Epidemiol       Date:  2016-11-15       Impact factor: 3.211

8.  Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Theo Vos; Abraham D Flaxman; Mohsen Naghavi; Rafael Lozano; Catherine Michaud; Majid Ezzati; Kenji Shibuya; Joshua A Salomon; Safa Abdalla; Victor Aboyans; Jerry Abraham; Ilana Ackerman; Rakesh Aggarwal; Stephanie Y Ahn; Mohammed K Ali; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Adil N Bahalim; Suzanne Barker-Collo; Lope H Barrero; David H Bartels; Maria-Gloria Basáñez; Amanda Baxter; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Eduardo Bernabé; Kavi Bhalla; Bishal Bhandari; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; James A Black; Hannah Blencowe; Jed D Blore; Fiona Blyth; Ian Bolliger; Audrey Bonaventure; Soufiane Boufous; Rupert Bourne; Michel Boussinesq; Tasanee Braithwaite; Carol Brayne; Lisa Bridgett; Simon Brooker; Peter Brooks; Traolach S Brugha; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Geoffrey Buckle; Christine M Budke; Michael Burch; Peter Burney; Roy Burstein; Bianca Calabria; Benjamin Campbell; Charles E Canter; Hélène Carabin; Jonathan Carapetis; Loreto Carmona; Claudia Cella; Fiona Charlson; Honglei Chen; Andrew Tai-Ann Cheng; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Manu Dahiya; Nabila Dahodwala; James Damsere-Derry; Goodarz Danaei; Adrian Davis; Diego De Leo; Louisa Degenhardt; Robert Dellavalle; Allyne Delossantos; Julie Denenberg; Sarah Derrett; Don C Des Jarlais; Samath D Dharmaratne; Mukesh Dherani; Cesar Diaz-Torne; Helen Dolk; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Karen Edmond; Alexis Elbaz; Suad Eltahir Ali; Holly Erskine; Patricia J Erwin; Patricia Espindola; Stalin E Ewoigbokhan; Farshad Farzadfar; Valery Feigin; David T Felson; Alize Ferrari; Cleusa P Ferri; Eric M Fèvre; Mariel M Finucane; Seth Flaxman; Louise Flood; Kyle Foreman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Richard Franklin; Marlene Fransen; Michael K Freeman; Belinda J Gabbe; Sherine E Gabriel; Emmanuela Gakidou; Hammad A Ganatra; Bianca Garcia; Flavio Gaspari; Richard F Gillum; Gerhard Gmel; Richard Gosselin; Rebecca Grainger; Justina Groeger; Francis Guillemin; David Gunnell; Ramyani Gupta; Juanita Haagsma; Holly Hagan; Yara A Halasa; Wayne Hall; Diana Haring; Josep Maria Haro; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Hideki Higashi; Catherine Hill; Bruno Hoen; Howard Hoffman; Peter J Hotez; Damian Hoy; John J Huang; Sydney E Ibeanusi; Kathryn H Jacobsen; Spencer L James; Deborah Jarvis; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Jost B Jonas; Ganesan Karthikeyan; Nicholas Kassebaum; Norito Kawakami; Andre Keren; Jon-Paul Khoo; Charles H King; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Ratilal Lalloo; Laura L Laslett; Tim Lathlean; Janet L Leasher; Yong Yi Lee; James Leigh; Stephen S Lim; Elizabeth Limb; John Kent Lin; Michael Lipnick; Steven E Lipshultz; Wei Liu; Maria Loane; Summer Lockett Ohno; Ronan Lyons; Jixiang Ma; Jacqueline Mabweijano; Michael F MacIntyre; Reza Malekzadeh; Leslie Mallinger; Sivabalan Manivannan; Wagner Marcenes; Lyn March; David J Margolis; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; Neil McGill; John McGrath; Maria Elena Medina-Mora; Michele Meltzer; George A Mensah; Tony R Merriman; Ana-Claire Meyer; Valeria Miglioli; Matthew Miller; Ted R Miller; Philip B Mitchell; Ana Olga Mocumbi; Terrie E Moffitt; Ali A Mokdad; Lorenzo Monasta; Marcella Montico; Maziar Moradi-Lakeh; Andrew Moran; Lidia Morawska; Rintaro Mori; Michele E Murdoch; Michael K Mwaniki; Kovin Naidoo; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Paul K Nelson; Robert G Nelson; Michael C Nevitt; Charles R Newton; Sandra Nolte; Paul Norman; Rosana Norman; Martin O'Donnell; Simon O'Hanlon; Casey Olives; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Andrew Page; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Scott B Patten; Neil Pearce; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; Konrad Pesudovs; David Phillips; Michael R Phillips; Kelsey Pierce; Sébastien Pion; Guilherme V Polanczyk; Suzanne Polinder; C Arden Pope; Svetlana Popova; Esteban Porrini; Farshad Pourmalek; Martin Prince; Rachel L Pullan; Kapa D Ramaiah; Dharani Ranganathan; Homie Razavi; Mathilda Regan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Kathryn Richardson; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Felipe Rodriguez De Leòn; Luca Ronfani; Robin Room; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Sukanta Saha; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; David C Schwebel; James Graham Scott; Maria Segui-Gomez; Saeid Shahraz; Donald S Shepard; Hwashin Shin; Rupak Shivakoti; David Singh; Gitanjali M Singh; Jasvinder A Singh; Jessica Singleton; David A Sleet; Karen Sliwa; Emma Smith; Jennifer L Smith; Nicolas J C Stapelberg; Andrew Steer; Timothy Steiner; Wilma A Stolk; Lars Jacob Stovner; Christopher Sudfeld; Sana Syed; Giorgio Tamburlini; Mohammad Tavakkoli; Hugh R Taylor; Jennifer A Taylor; William J Taylor; Bernadette Thomas; W Murray Thomson; George D Thurston; Imad M Tleyjeh; Marcello Tonelli; Jeffrey A Towbin; Thomas Truelsen; Miltiadis K Tsilimbaris; Clotilde Ubeda; Eduardo A Undurraga; Marieke J van der Werf; Jim van Os; Monica S Vavilala; N Venketasubramanian; Mengru Wang; Wenzhi Wang; Kerrianne Watt; David J Weatherall; Martin A Weinstock; Robert Weintraub; Marc G Weisskopf; Myrna M Weissman; Richard A White; Harvey Whiteford; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Sean R M Williams; Emma Witt; Frederick Wolfe; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Anita K M Zaidi; Zhi-Jie Zheng; David Zonies; Alan D Lopez; Christopher J L Murray; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

9.  Prevalence of Chronic Nonspecific Low Back Pain and Its Associated Factors among Middle-Aged and Elderly People: An Analysis Based on Data from a Musculoskeletal Examination in Japan.

Authors:  Yoichi Iizuka; Haku Iizuka; Tokue Mieda; Daisuke Tsunoda; Tsuyoshi Sasaki; Tsuyoshi Tajika; Atsushi Yamamoto; Kenji Takagishi
Journal:  Asian Spine J       Date:  2017-12-07

10.  Reducing the global burden of musculoskeletal conditions.

Authors:  Andrew M Briggs; Anthony D Woolf; Karsten Dreinhöfer; Nicole Homb; Damian G Hoy; Deborah Kopansky-Giles; Kristina Åkesson; Lyn March
Journal:  Bull World Health Organ       Date:  2018-04-12       Impact factor: 9.408

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  1 in total

1.  Safety risk associated with use of nonsteroidal anti-inflammatory drugs in Japanese elderly compared with younger patients with osteoarthritis and/or chronic low back pain: A retrospective database study.

Authors:  Kanae Togo; Nozomi Ebata; Naohiro Yonemoto; Lucy Abraham
Journal:  Pain Pract       Date:  2021-10-04       Impact factor: 3.079

  1 in total

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