Journal List > J Korean Med Sci > v.37(18) > 1162160

Cho, Choi, Kim, Song, Jung, Jang, and Sung: COX-2 Inhibitor Use as an Early Treatment Option for Knee Osteoarthritis Patients in Korea: A Population-Based Cross-Sectional Study

Abstract

Background

To investigate the use of cyclooxygenase-2 (COX-2) inhibitors as an initial drug treatment for knee osteoarthritis (OA) patients.

Methods

From 2013 to 2015, patients with knee OA were identified from the Korean nationwide claims database. Among them, we extracted incident cases of knee OA to identify the initial drug treatment. Trends in the use of non-steroid anti-inflammatory drugs (NSAIDs) including COX-2 inhibitors were analyzed during the first year after their diagnosis. Associated factors for COX-2 inhibitor use were examined using a multivariate logistic regression model.

Results

We identified 2,857,999 incident knee OA patients (955,259 in 2013, 981,314 in 2014, and 921,426 in 2015). The mean ± standard deviation age of patients was 64.2 ± 9.8 years. The frequency of COX-2 inhibitor use as initial treatment increased from 3.5% in 2013 to 7.2% in 2015 (P < 0.01). In patients taking the medication regularly for one year after diagnosis (medication possession ratio ≥ 50%), COX-2 inhibitor use also rapidly increased from 5.5% in 2013 to 11.1% in 2015 (P < 0.01). However, the frequencies of non-selective NSAID and analgesic use did not decrease remarkably. Factors associated with patients using COX-2 inhibitors on initial drug treatment were older age (odds ratio [OR], 1.08), female (OR, 1.24), and comorbidity (OR, 1.03). Type of institution, physician speciality, and insurance type of patients were also associated.

Conclusion

In Korea, COX-2 inhibitors have rapidly increased as an initial treatment for knee OA patients, but it has not appeared to reduce the use of non-selective NSAIDs and analgesics.

Graphical Abstract

jkms-37-e148-abf001.jpg

INTRODUCTION

Osteoarthritis (OA) is one of the most common chronic diseases, and the knee joint is commonly involved and associated with pain and functional disability.12 Various international and national guidelines for the pain management in OA recommend oral non-steroidal anti-inflammatory drugs (NSAIDs).345 Although pain relief is the goal of OA treatment, there are many concerns about the adverse effects (AEs) of the consistent use of NSAIDs.1 Consequently, the American Geriatric Society recommends that oral NSAIDs should not be prescribed to people over the age of 75.6 The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis, and Musculoskeletal Diseases recommends the minimum effective dose of NSAIDs for the shortest time required to reduce pain.7 Older patients are more likely to suffer from cardiovascular disease and decline in their renal function with increasing age, which are AEs that are highly associated with the use of NSAIDs. Therefore, the non-surgical management of knee OA from the Osteoarthritis Research Society International (OARCI) suggests that the treatment with non-selective NSAIDs (nsNSAIDs) are suitable for individual OA patients without comorbid condition, but are uncertain for patients with a moderate comorbidity risk and not for patients with a high comorbidity risk.8
NSAIDs are the most widely used medication for OA. More than 50% of patients with OA in the USA,9 and 60% of patients with OA in Europe who use prescription drugs have received NSAIDs.10 In Korea, the regular use of NSAIDs in patients with knee OA had a similar frequency of 48.8%.11 As well as NSAIDs, there was a significant prevalence of prescriptions of opioids, including tramadol, in knee OA (12.2%), although it was lower than overall opioid prescription in other Western countries.12 The OARCI group conditionally recommend duloxetine for knee OA patients with persistent symptoms despite NSAIDs.13 In Korea, the indication of duloxetine was expanded for the treatment of OA unresponsive to NSAIDs in 2016. A recent report on the treatment effect in knee OA suggested that oral NSAIDs, cyclooxygenase-2 (COX-2) inhibitors, and opioids had similar pain control effectiveness.14
Although celecoxib, a selective COX-2 inhibitor, has been developed that theoretically reduces gastrointestinal AEs over nsNSAIDs, the safety of its use remains controversial.15 For patients with gastrointestinal diseases, COX-2 inhibitors are recommended at higher levels than nsNSAIDs.4 Recently, the patent of celecoxib expired in Korea (June 2015) and it is thought to have affected patterns of the initial choice of knee OA treatment. Therefore, we investigated trends in the use of celecoxib as the initial drug for knee OA and changes in the use of other drugs during the same period.

METHODS

Data source and study population

Data source: Health Insurance Review and Assessment (HIRA) claims database

Korea has a universal health insurance system that covers almost 98% of the population. The database of Health Insurance Review and Assessment (HIRA) includes patients’ diagnosis, treatment, procedures, prescription drugs, and health care utilization.16

Study population

Knee OA patients were defined using algorithm of the knee OA diagnostic code (M17) or any OA diagnostic code (M15 to M19) with performance of a knee X-ray based on our pervious validation study.17 After excluding patients with rheumatoid arthritis, ankylosing spondylitis, or psoriatic arthritis, we enrolled patients ≥ 50 years of age with knee OA.
Demographic characteristics, health care utilization related to the initial treatment (type of institution or department), and prescription for medication were evaluated at the index date. Elixhauser comorbidity index18 were evaluated within one year prior to the index date of knee OA, because physician may consider pre-existing comorbidities when prescribing COX-2 inhibitors for knee OA patients (Supplementary Fig. 1).

Medications for knee OA

Our study included medication such as oral NSAIDs, acetaminophen, tramadol, and opioids. We divided oral NSAIDs into 2 groups consisting of nsNSAIDs and COX-2 inhibitors. Well-known symptomatic slow-acting drugs for OA (SYSADOAs) such as diacerein, avocado soybean unsaponifiables, and chondroitin were included in this study, but glucosamine was not included because it was only reimbursed in Korea since 2011. Several herbal drugs that combine herbal extracts were included.11 The uses of oral glucocorticoid (CS) and combined medication for gastrointestinal protection were also investigated.
Furthermore, medication possession ratios (MPRs) were calculated to determine the quantitative use of each different medication. The MPR is calculated with the number of days for which medication is available divided by the number of days of treatment,19 and 50% of MPR was defined as regular use.

Factors for the early use of COX-2 inhibitor

First, we presented the trend of COX-2 inhibitor utilization in patients with knee OA over 3 years between 2013 and 2015. To evaluate the pattern of other medication for knee OA according to a change in COX-2 inhibitor use, we also analyzed the trend of nsNSAIDs, analgesics, or SYSADOA. Next, we performed an analysis to evaluate baseline or clinical factors for the initial use of COX-2 inhibitors.

Statistical analysis

Variables are presented as the mean with standard deviation (SD) for continuous variables and the frequency with percentage for categorical variables. We described the trend of drug utilization in knee OA patients over 3 years with the Cochran–Armitage test for trend P values. A multivariable logistic regression model was constructed to examine factors related to COX-2 inhibitor use. Significant demographic and clinical factors in the crude model were included in the multivariable model. All analyses were performed using SAS software version 9.3 (SAS Institute Inc., Cary, NC, USA).

Ethics statement

The Institutional Review Board (IRB) of our hospital determined that this study was exempt from IRB review because we used existing data and the information could not be linked to individual subjects (HYUH-2016-06-008-002). No informed consent was required from patients due to the nature of public data from NHIS.

RESULTS

Baseline characteristics

We identified 2,857,999 incident knee OA patients between 2013 and 2015 (955,259 in 2013, 981,314 in 2014, and 921,426 in 2015) (Fig. 1). Their mean age ± standard deviation was 64.2 ± 9.8 years. Most patients visited a private clinic (67.7% in 2013 and 68.6% in 2015) or a community hospital (13.4% in 2013 and 14.1% in 2015). More than half of the patients (64.3% in 2013 and 66.8% in 2015) visited an orthopedic surgery department. In terms of comorbidities, percentages of peptic ulcer disease and mild liver disease were similar (22.8% and 20.3% in 2013, 21.0% and 21.2% in 2015, respectively). The mean Elixhauser score was 4.36 ± 1.78 in 2013 and 4.52 ± 6.31 in 2015 (Table 1).
Fig. 1

Patients’ selection flow.

OA = osteoarthritis.
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Table 1

Baseline characteristics of the knee OA patients according to year

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Characteristics 2013 (n = 955,259) 2014 (n = 981,314) 2015 (n = 921,426) Total (N = 2,857,999)
Age, yr (mean ± SD) 63.97 ± 9.81 64.12 ± 9.81 63.97 ± 9.76 64.02 ± 9.79
Sex (female) 594,183 (62.2) 607,430 (61.9) 555,479 (60.3) 1,757,092 (61.5)
Health insurance
National insurance 894,390 (93.6) 919,869 (93.7) 861,955 (93.5) 2,676,214 (93.6)
Medical aid 53,466 (5.6) 53,701 (5.5) 51,799 (5.6) 158,966 (5.6)
Veterans 7,403 (0.8) 7,744 (0.8) 7,672 (0.8) 22,819 (0.8)
Type of institutiona
Tertiary hospital 14,126 (1.5) 14,258 (1.5) 13,363 (1.5) 41,747 (1.5)
General hospital 65,319 (6.8) 72,821 (7.4) 74,929 (8.1) 213,069 (7.5)
Hospital 127,842 (13.4) 133,503 (13.6) 130,120 (14.1) 391,465 (13.7)
Clinic 646,600 (67.7) 666,359 (67.9) 632,454 (68.6) 1,945,413 (68.1)
Oriental medical hospital 81,770 (8.6) 75,162 (7.7) 54,683 (5.9) 211,615 (7.4)
Others 19,602 (2.1) 19,211 (2.0) 15,877 (1.7) 54,690 (1.9)
Type of departmenta
Internal medicine 86,495 (9.1) 87,854 (9.0) 82,990 (9.0) 257,339 (9.0)
Orthopedics 614,249 (64.3) 638,630 (65.1) 615,511 (66.8) 1,868,390 (65.4)
Rehabilitation 16,926 (1.8) 18,094 (1.8) 17,808 (1.9) 52,828 (1.8)
Oriental medicine 85,900 (9.0) 79,210 (8.1) 57,405 (6.2) 222,515 (7.8)
Family medicine and others 151,689 (15.9) 157,526 (16.1) 147,712 (16.0) 456,927 (16.0)
Comorbidity
Elixhauser score (mean ± SD) 4.36 ± 6.19 4.44 ± 6.24 4.52 ± 6.31 4.44 ± 6.25
Congestive heart failure 42,848 (4.5) 44,409 (4.5) 41,913 (4.5) 129,170 (4.5)
Hypertension, uncomplicated 432,188 (45.2) 443,180 (45.2) 408,922 (44.4) 1,284,290 (44.9)
Hypertension, complicated 52,086 (5.5) 47,545 (4.8) 41,560 (4.5) 141,191 (4.9)
Chronic pulmonary disease 278,349 (29.1) 287,661 (29.3) 273,383 (29.7) 839,393 (29.4)
Diabetes, uncomplicated 177,808 (18.6) 188,976 (19.3) 179,066 (19.4) 545,850 (19.1)
Diabetes, complicated 100,291 (10.5) 101,731 (10.4) 95,079 (10.3) 297,101 (10.4)
Renal failure 13,387 (1.4) 14,464 (1.5) 14,137 (1.5) 41,988 (1.5)
Liver disease 193,627 (20.3) 205,990 (21.0) 195,756 (21.2) 595,373 (20.8)
Peptic ulcer disease excluding bleeding 217,408 (22.8) 212,459 (21.7) 193,411 (21.0) 623,278 (21.8)
Solid tumor without metastasis 49,431 (5.2) 53,212 (5.4) 51,323 (5.6) 153,966 (5.4)
Depression 106,371 (11.1) 110,493 (11.3) 101,889 (11.1) 318,753 (11.2)
Values are presented as the number and percentage or mean with standard deviation.
OA = osteoarthritis, SD = standard deviation.
aFrequently visited hospitals are noted.

Patterns of oral medication for knee OA patients

Among all patients, 19.5% of patients in 2013 and 16.9% in 2015 did not use any medications for knee OA. In the initial prescription for knee OA, the frequency of COX-2 inhibitors as the initial treatment increased from 3.5% in 2013 to 7.2% in 2015 (trend P value < 0.01) (Fig. 2, Table 2). However, the frequencies of nsNSAIDs use or analgesics use did not decrease remarkably. The frequency of nsNSAIDs use (55.3% in 2013 and 56.8% in 2015, trend P value < 0.01) or analgesics use (17.1% in 2013 and 17.3% in 2015, trend P value < 0.01) increased slightly.
Fig. 2

Trend of initial treatment for knee osteoarthritis between 2013 and 2015.

nsNSAID = non-selective non-steroidal anti-inflammatory drug, SYSADOA = symptomatic slow-acting drug in osteoarthritis, COX = cyclooxygenase.
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Table 2

Trend of drug utilization in incident knee OA patients in the first year after diagnosis

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Medications Initial prescription for knee OA Regular usea for knee OA
2013 (n = 955,259) 2014 (n = 981,314) 2015 (n = 921,426) P valueb 2013 (n = 955,259) 2014 (n = 981,314) 2015 (n = 921,426) P valueb
NSAIDs 560,274 (58.7) 591,241 (60.2) 587,966 (63.8) < 0.001 462,285 (48.4) 482,053 (49.1) 468,352 (50.8) < 0.001
Nonselective NSAIDs 528,322 (55.3) 554,321 (56.5) 523,152 (56.8) < 0.001 440,674 (46.1) 457,816 (46.7) 431,577 (46.8) < 0.001
COX-2 inhibitor 33,085 (3.5) 38,210 (3.9) 66,504 (7.2) < 0.001 52,746 (5.5) 65,179 (6.6) 102,091 (11.1) < 0.001
SYSADOA 208,521 (21.8) 217,699 (22.2) 207,505 (22.5) < 0.001 241,830 (25.3) 252,291 (25.7) 238,634 (25.9) < 0.001
Analgesics 162,876 (17.1) 169,832 (17.3) 159,630 (17.3) < 0.001 201,422 (21.1) 209,398 (21.3) 196,615 (21.3) < 0.001
Acetaminophen 50,145 (5.2) 52,782 (5.4) 48,802 (5.3) 0.1401 77,948 (8.2) 81,539 (8.3) 74,913 (8.1) 0.4888
Tramadol 2,136 (0.2) 2,055 (0.2) 1,874 (0.2) 0.003 4,054 (0.4) 3,996 (0.4) 3,577 (0.4) < 0.001
Acetaminophen + tramadol 112,885 (11.8) 117,083 (11.9) 110,971 (12.0) < 0.001 147,445 (15.4) 152,578 (15.5) 143,688 (15.6) 0.003
Strong opioid 882 (0.1) 1,321 (0.1) 1,193 (0.1) < 0.001 2,601 (0.3) 3,521 (0.4) 3,577 (0.4) < 0.001
Glucocorticoid 23,632 (2.5) 25,814 (2.6) 25,360 (2.8) < 0.001 42,046 (4.4) 44,597 (4.5) 43,071 (4.7) < 0.001
GI protect med 365,912 (38.3) 408,369 (41.6) 419,062 (45.5) < 0.001 324,756 (34.0) 355,964 (36.3) 358,078 (38.9) < 0.001
OA = osteoarthritis, NSAID = nonsteroidal anti-inflammatory drug, COX = cyclooxygenase, SYSADOA = symptomatic slow-acting drug in osteoarthritis, GI = gastrointestinal.
aRegular use was defined as a medication possession ratio (MPR) of 50%; bCochran–Armitage test for trend P values.
A quantitative analysis for drug utilization, defined as regular use (MPR ≥ 50%) was presented for each drug (Table 2). In regular users, COX-2 inhibitor use also rapidly increased from 5.5% in 2013 to 11.1% in 2015 (trend P value < 0.01). However, the frequencies of nsNSAIDs use or analgesics use did not decrease remarkably. The frequency of nsNSAIDs use (46.1% in 2013 and 46.8% in 2015, trend P value < 0.01) or analgesic use (21.1% in 2013 and 21.3% in 2015, trend P value < 0.01) increased slightly (Table 2).

Factors for the early use of COX-2 inhibitors

Baseline characteristics of knee OA patients treated with COX-2 inhibitors as an initial treatment compared with COX-2 inhibitor non-users are presented in the Supplementary Table 1. COX-2 inhibitor users were older than COX-2 inhibitor non-users (71.10 ± 8.98 vs. 63.66 ± 9.70, P < 0.001) and were more likely to be female (65.4% vs. 61.3%, P < 0.001). Patients who visited a private clinic (44.4% vs. 69.0%, P < 0.001) were less likely to be treated with COX-2 inhibitors.
Associated factors for early COX-2 inhibitor use at the early stage of knee OA were older age (odds ratio [OR], 1.08; 95% confidence interval [CI], 1.08–1.08) or female (OR, 1.23; 95% CI, 1.21–1.24). Orthopedic surgeons were more likely to use COX-2 inhibitors than internists (OR, 1.04; 95% CI, 1.02–1.06). National insurance compared with medical aid (OR, 1.17; 95% CI, 1.14–1.19) and tertiary hospitals compared with private clinics (OR, 9.44; 95% CI, 9.17–9.70) were more likely to use COX-2 inhibitors. Combination with other OA medications (SYSADOA [OR, 0.75; 95% CI, 0.74–0.76], analgesics [OR, 0.67; 95% CI, 0.66–0.68], and glucocorticoid [OR, 0.79; 95% CI, 0.76–0.82)] were less likely to use COX-2 inhibitors (Table 3).
Table 3

Factors for the use of COX 2-inhibitors as an initial treatment

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Variables Univariate analysis Multivariate analysis
OR (95% CI) OR (95% CI)
Age 1.07 (1.07–1.07) 1.08 (1.08–1.08)
Sex
Male 1 1
Female 1.19 (1.18–1.21) 1.23 (1.21–1.24)
Health insurance
Medical aid/Veterans 1 1
National insurance 0.67 (0.66–0.68) 1.17 (1.14–1.19)
Type of institution
Clinic 1 1
Tertiary hospital 8.87 (8.65–9.09) 9.44 (9.19–9.70)
General hospital 6.25 (6.16–6.34) 6.44 (6.34–6.53)
Community Hospital 2.62 (2.59–2.67) 2.99 (2.94–3.03)
Others 0.15 (0.14–0.16) 0.15 (0.14–0.15)
Type of department
Internal medicine 1 1
Orthopedics 0.98 (0.97–1.00) 1.04 (1.02–1.06)
Rehabilitation 1.4 (1.35–1.45) 1.09 (1.05–1.14)
Others 0.48 (0.47–0.49) 0.74 (0.72–0.76)
Elixhauser comorbidities score 1.03 (1.02–1.03) 1 (1.00–1.01)
SYSADOA 0.88 (0.87–0.89) 0.75 (0.74–0.76)
Analgesics 0.8 (0.78–0.81) 0.67 (0.66–0.68)
Glucocorticoid 0.8 (0.77–0.83) 0.79 (0.76–0.82)
GI protect med 1.21 (1.20–1.22) 1.1 (1.08–1.11)
COX = cyclooxygenase, OR = odds ratio, CI = confidence interval, SYSADOA = symptomatic slow-acting drug in osteoarthritis, GI = gastrointestinal.

DISCUSSION

In Korea, the use of COX-2 inhibitors has rapidly increased as an initial treatment for knee OA patients. However, their use has not reduced the use of nsNSAIDs and analgesics. Old age, female sex, as well as comorbidity were patient factors associated with the early use of COX-2 inhibitors for knee OA. Patients who were treated by an orthopedic surgeon, or who visited a tertiary hospital, or who were supported by national insurance, were more likely to take COX-2 inhibitors.
The increase in COX-2 inhibitor use in knee OA patients may be explained by several factors. First, there is a possibility that the price of COX-2 inhibitors, which are relatively expensive compared with nsNSAIDs, were lowered and their utilization increased as their patents expired. Second, it is possible that pharmaceutical companies actively promoted generic drugs with the expiration of the patents for COX-2 inhibitors. Third, the numbers of patients with gastrointestinal (GI) disorders may have increased leading to an increase in the use of COX-2 inhibitors. Although the prevalence of peptic ulcer disease did not increase over 3 years, the GI protective drugs has increased concurrently.
NSAIDs have potential risk for GI and cardiovascular disease through their action on COX-1 and COX-2 enzymes, and there is an increased risk of developing acute myocardial infarction and heart failure. There is a particularly strong risk of myocardial infarction with COX-2 inhibitors20 because the imbalance between prostacyclin and thromboxane-A2 depends on the relative extents of inhibitors of COX-2 and COX-1.21 COX-2 inhibitors are also associated with an increased risk of upper GI disorders and cardiovascular diseases compared with placebo.22 COX-2 inhibitors as well as nsNSAIDs are also associated with an increased risk of acute kidney injury.23 There is also evidence of an increased all-cause and cardiovascular mortality in patients with OA of lower extremities.24 Increased mortality from GI and cardiovascular disorders was observed, and this may be explained by decreasing physical activity related to OA of lower extremities. Moreover, AEs associated with drugs, particularly NSAIDs, as well as comorbidities such as cardiovascular diseases may also be related with the excess mortality in OA.2425 This increased mortality in OA may be attributed, in part, to treatment strategies that include NSAIDs.26 Furthermore, older patients showed better adherence to NSAIDs.27 Therefore, different strategies to reduce pain in patients with OA should be considered for each individual patient. Moreover, care should be taken about the long-term use of COX-2 inhibitors because they have potent toxicity similar to that of nsNSAIDs.
Old age, female sex, as well as comorbidity based on the Elixhauser comorbidity index were factors associated with the early use of COX-2 inhibitors for knee OA. Patients who were treated by an orthopedic surgeon, or who visited a tertiary hospital, or who were supported by national insurance were more likely to take COX-2 inhibitors. Patients who were treated with SYSADOA, analgesics or glucocorticoids were less likely to take COX-2 inhibitors, whereas patients who were treated with GI protective medication were more likely to take COX-2 inhibitors. Our findings of a rapid increase in the use of COX-2 inhibitors as an early treatment option for knee OA, without any change in use of other drugs, and related factors provide useful evidence to make proper recommendations for NSAIDs use in knee OA patients. A recent study has proposed a clinical model and related factors predicting knee replacement.28 We need further studies to determine whether early treatment with COX-2 inhibitor can reduce the rapid progression of knee OA.
The strength of this study is that it used a nationwide database that covers all drugs prescribed. The Korean insurance system is a single-payer, and the national reimbursement standards apply equally to all health providers. This comprehensive data avoided selection bias and included all NSAID prescriptions in patients with knee OA. Furthermore, we extracted early knee OA patients who initiated medication. Therefore, this study provided information about early COX-2 inhibitor treatment for knee OA patients, which has so far been rarely presented.
There were several limitations in this study. First, we did not find a direct cause, although we found a rapid increase in the use of COX-2 inhibitors for knee OA patients as an initial treatment. Second, we did not evaluate the consequence of the increased use of COX-2 inhibitors. Third, we could not adjust patients’ preferences for treatment choice. In addition, treatment patterns may be changed after surgery, but the effect of knee replacement surgery was not considered. Further long-term studies are required to identify the impact of the increased availability of COX-2 inhibitors as an initial treatment for knee OA patients. In Korea, the reimbursement of COX-2 inhibitors is possible for elderly patients over 60 years of age. The mean age of incident knee OA patients was 64 years old for 3 years. Therefore, it is not appropriate to conclude that patient age has contributed to this rapid change. Further studies using long-term data are needed to determine whether the use of COX-2 inhibitors continues to increase, whether this increase leads to a decrease in nsNSAIDs use, or whether the development of AEs can be reduced by the appropriate stratification of patients.
In conclusion, COX-2 inhibitor use has rapidly increased as an initial treatment for knee OA patients in Korea, but it does not appear to have reduced the use of non-selective NSAIDs and analgesia. Old age, female sex, as well as comorbidity were patient factors associated with the early use of COX-2 inhibitors for knee OA.

ACKNOWLEDGMENTS

We would like to thank ESSAYREVIEW (https://essayreview.co.kr/) for English language editing.

Notes

Funding: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2021R1A6A1A03038899).

Disclosure: The authors have no potential conflicts of interest to disclose.

Data Availability Statement: The data provider, Health Insurance Review and Assessment (HIRA), requires all relevant researchers to pledge not to share, disclose, or review the data with other entities. Any requests regarding data and the research itself should be directed to the corresponding authors.

Author Contributions:

  • Conceptualization: Cho SK, Jang EJ, Sung YK.

  • Data curation: Choi S, Kim H, Song YJ, Jung SY, Jang EJ.

  • Formal analysis: Choi S, Kim H, Jung SY, Jang EJ.

  • Funding acquisition: Cho SK.

  • Investigation: Cho SK, Sung YK, Jung SY, Jang EJ.

  • Methodology: Cho SK, Jung SY, Jang EJ, Sung YK.

  • Software: Choi S, Kim H, Song YJ, Jung SY.

  • Visualization: Kim H, Song YJ.

  • Writing - original draft: Cho SK, Sung YK.

  • Writing - review & editing: Choi S, Kim H, Song YJ, Jung SY, Jang EJ.

References

1. Sharma L. Osteoarthritis of the Knee. N Engl J Med. 2021; 384(1):51–59. PMID: 33406330.
2. Kim YE, Jo MW, Park H, Oh IH, Yoon SJ, Pyo J, et al. Updating disability weights for measurement of healthy life expectancy and disability-adjusted life year in Korea. J Korean Med Sci. 2020; 35(27):e219. PMID: 32657086.
3. Kolasinski SL, Neogi T, Hochberg MC, Oatis C, Guyatt G, Block J, et al. 2019 American College of Rheumatology/Arthritis Foundation Guideline for the management of osteoarthritis of the hand, hip, and knee. Arthritis Rheumatol. 2020; 72(2):220–233. PMID: 31908163.
4. Bannuru RR, Osani MC, Vaysbrot EE, Arden NK, Bennell K, Bierma-Zeinstra SM, et al. OARSI guidelines for the non-surgical management of knee, hip, and polyarticular osteoarthritis. Osteoarthritis Cartilage. 2019; 27(11):1578–1589. PMID: 31278997.
5. Pendleton A, Arden N, Dougados M, Doherty M, Bannwarth B, Bijlsma JW, et al. EULAR recommendations for the management of knee osteoarthritis: report of a task force of the Standing Committee for International Clinical Studies Including Therapeutic Trials (ESCISIT). Ann Rheum Dis. 2000; 59(12):936–944. PMID: 11087696.
6. American Geriatrics Society Panel on the Pharmacological Management of Persistent Pain in Older Persons. Pharmacological management of persistent pain in older persons. Pain Med. 2009; 10(6):1062–1083. PMID: 19744205.
7. Bruyère O, Cooper C, Pelletier JP, Maheu E, Rannou F, Branco J, et al. A consensus statement on the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis (ESCEO) algorithm for the management of knee osteoarthritis—from evidence-based medicine to the real-life setting. Semin Arthritis Rheum. 2016; 45(4 Suppl):S3–11. PMID: 26806188.
8. McAlindon TE, Bannuru RR, Sullivan MC, Arden NK, Berenbaum F, Bierma-Zeinstra SM, et al. OARSI guidelines for the non-surgical management of knee osteoarthritis. Osteoarthritis Cartilage. 2014; 22(3):363–388. PMID: 24462672.
9. Gore M, Tai KS, Sadosky A, Leslie D, Stacey BR. Use and costs of prescription medications and alternative treatments in patients with osteoarthritis and chronic low back pain in community-based settings. Pain Pract. 2012; 12(7):550–560. PMID: 22304678.
10. Kingsbury SR, Gross HJ, Isherwood G, Conaghan PG. Osteoarthritis in Europe: impact on health status, work productivity and use of pharmacotherapies in five European countries. Rheumatology (Oxford). 2014; 53(5):937–947. PMID: 24489012.
11. Park HR, Cho SK, Im SG, Jung SY, Kim D, Jang EJ, et al. Treatment patterns of knee osteoarthritis patients in Korea. Korean J Intern Med. 2019; 34(5):1145–1153. PMID: 29551051.
12. Cho SK, Jung SY, Choi S, Im SG, Kim H, Choi WS, et al. Factors related to the use of opioids as early treatment in patients with knee osteoarthritis. Arthritis Res Ther. 2019; 21(1):222. PMID: 31685008.
13. Sabha M, Hochberg MC. Non-surgical management of hip and knee osteoarthritis; comparison of ACR/AF and OARSI 2019 and VA/DoD 2020 guidelines. Osteoarthritis and Cartilage Open. 2022; 4(1):100232.
14. Stewart M, Cibere J, Sayre EC, Kopec JA. Efficacy of commonly prescribed analgesics in the management of osteoarthritis: a systematic review and meta-analysis. Rheumatol Int. 2018; 38(11):1985–1997. PMID: 30120508.
15. Puljak L, Marin A, Vrdoljak D, Markotic F, Utrobicic A, Tugwell P. Celecoxib for osteoarthritis. Cochrane Database Syst Rev. 2017; 5(5):CD009865. PMID: 28530031.
16. Park JS, Lee CH. Clinical study using healthcare claims database. J Rheum Dis. 2021; 28(3):119–125.
17. Park HR, Im S, Kim H, Jung SY, Kim D, Jang EJ, et al. Validation of algorithms to identify knee osteoarthritis patients in the claims database. Int J Rheum Dis. 2019; 22(5):890–896. PMID: 30729731.
18. Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998; 36(1):8–27. PMID: 9431328.
19. Kozma CM, Dickson M, Phillips AL, Meletiche DM. Medication possession ratio: implications of using fixed and variable observation periods in assessing adherence with disease-modifying drugs in patients with multiple sclerosis. Patient Prefer Adherence. 2013; 7:509–516. PMID: 23807840.
20. Dalal D, Dubreuil M, Peloquin C, Neogi T, Zhang Y, Choi H, et al. Meloxicam and risk of myocardial infarction: a population-based nested case-control study. Rheumatol Int. 2017; 37(12):2071–2078. PMID: 29030657.
21. Cryer B, Feldman M. Cyclooxygenase-1 and cyclooxygenase-2 selectivity of widely used nonsteroidal anti-inflammatory drugs. Am J Med. 1998; 104(5):413–421. PMID: 9626023.
22. Curtis E, Fuggle N, Shaw S, Spooner L, Ntani G, Parsons C, et al. Safety of cyclooxygenase-2 inhibitors in osteoarthritis: outcomes of a systematic review and meta-analysis. Drugs Aging. 2019; 36(Suppl 1):25–44. PMID: 31073922.
23. Tang YZ, Zeng P, Liao Y, Qin Z, Zhang H, Li B, et al. Correlation between perioperative parecoxib use and postoperative acute kidney injury in patients undergoing non-cardiac surgery: a retrospective cohort analysis. BMJ Open. 2021; 11(8):e047840.
24. Hochberg MC. Mortality in osteoarthritis. Clin Exp Rheumatol. 2008; 26(5):Suppl 51. S120–S124. PMID: 19026154.
25. Nüesch E, Dieppe P, Reichenbach S, Williams S, Iff S, Jüni P. All cause and disease specific mortality in patients with knee or hip osteoarthritis: population based cohort study. BMJ. 2011; 342:d1165. PMID: 21385807.
26. Cooper C, Chapurlat R, Al-Daghri N, Herrero-Beaumont G, Bruyère O, Rannou F, et al. Safety of oral non-selective non-steroidal anti-inflammatory drugs in osteoarthritis: what does the literature say? Drugs Aging. 2019; 36(1):Suppl 1. 15–24. PMID: 31073921.
27. Park KK, Choi CH, Ha CW, Lee MC. The effects of adherence to non-steroidal anti-inflammatory drugs and factors influencing drug adherence in patients with knee osteoarthritis. J Korean Med Sci. 2016; 31(5):795–800. PMID: 27134504.
28. Wu R, Ma Y, Yang Y, Li M, Zheng Q, Fu G. A clinical model for predicting knee replacement in early-stage knee osteoarthritis: data from osteoarthritis initiative. Clin Rheumatol. 2022; 41(4):1199–1210. PMID: 34802087.

SUPPLEMENTARY MATERIALS

Supplementary Table 1

Baseline characteristics of knee OA patients treated with COX2 inhibitors as an initial treatment
jkms-37-e148-s001.doc

Supplementary Fig. 1

Study design.
jkms-37-e148-s002.doc
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