1. Introduction
There has been an increase in the number of patients in almost all surgical disciplines in Malaysia, and orthopaedic surgery was ranked second highest after general surgery in terms of the number of inpatients [
1]. Orthopaedic surgery can be categorized by surgical techniques (i.e., fixation, bone grafting and arthroscopy) that are related to musculoskeletal disorders affecting muscles, ligaments, tendons, and bones of various parts of the body such as the shoulder, hip, leg and hand. Most patients will experience pain after surgery and the pain should be alleviated as soon and as effectively as possible to promote healing and prevent potential complications. The literature shows that, among 179 surgical groups at 105 German hospitals, patients that underwent 22 orthopaedic procedures demonstrated a high pain intensity on the first day after surgery [
2]. Hence, healthcare providers are urged to monitor patients’ pain regularly during hospital admission and treat patients based on their pain experience [
3]. Postoperative pain is categorized as acute pain that should be managed in a multimodal approach, which consists of utilization of multiple analgesics, including opioids, non-opioids and other adjuvants [
4,
5].
In patients with no contraindications, nonsteroidal anti-inflammatory drugs (NSAIDs), including both traditional nonselective NSAIDs (tNSAIDs) and the selective cyclooxygenase (COX)-2 inhibitors (coxibs), are the drugs of choice for surgery analgesic regimes [
4]. Both tNSAIDs and coxibs are widely utilized for orthopaedic postoperative pain management [
6,
7]. The most recent review study found that both NSAIDs and coxibs increased patient satisfaction and decreased opioid use, so were concluded to be safe and effective in the treatment of postoperative pain including orthopaedic surgery [
8].
In Malaysia, the healthcare system is characterised by a two-tier system, which consists of the public and private healthcare sectors. The public healthcare sector system is funded by the government, and the Ministry of Health (MOH), as the largest healthcare service provider, controls and procures medicines at lower prices compared to the private healthcare sector. The private healthcare settings in Malaysia can essentially be divided into three: (a) general practitioner clinics, (b) community pharmacies, and (c) private hospitals. The private sector provides a healthcare service for a non-subsidised fee-for-service through a large network of private general practitioner clinics, community pharmacies and hospitals financed through out-of-pocket payments, private insurance or third-party payments [
1,
9,
10].
According to Malaysian Statistics on Medicines 2011–2014 [
9], utilization of NSAIDs and antirheumatic drugs (ATC: M01A) in the private sectors were more than double that of the public sectors. The private sector information was derived from sales data from pharmaceutical companies and vendors collected through Quintiles IMS Malaysia. In the private sector report, expenditure on anti-inflammatory and antirheumatic drugs was ranked as sixth among the top ten drugs by expenditure in 2014 with a total expenditure of MYR 111,230,000 (equivalent to USD 26,775,964) and an estimated 0.96% of the population (9.6405 defined daily dose (DDD)/1000 population/day) utilized these medicines according to therapeutic group. However, information derived from sales data alone is not enough to help the management of private sectors to understand, interpret, evaluate, and improve the prescribing, administration and use of NSAIDs. This study was conducted at a main branch of the largest private hospital group in Malaysia, which has a similar setting to other private hospitals in the country. The findings are very applicable in terms of projecting the use of tNSAIDs and coxibs. Thus, the primary objective of this study was to evaluate the utilization of coxibs and traditional nonsteroidal anti-inflammatory drugs (tNSAIDs) indicated for postoperative orthopaedic pain control in a private hospital located in the central part of Malaysia. The utilization was analysed using defined daily dose (DDD) and ratio of use density to use rate (UD/UR).
2. Methods
This preliminary retrospective drug utilization review of NSAIDs for postoperative orthopaedic inpatients was conducted in a private teaching hospital with 188 bed multidisciplinary ward services. The overall information of orthopaedic surgery from January 2018 to December 2018 was screened. A total of 1169 orthopaedic surgeries were listed and categorized into 76 types of surgeries. This study focused on three types of major orthopaedic surgeries: category 1: arthroscopy (examples: acromioplasty, anterior cruciate ligament); category 2: reconstructive surgery (examples: total knee replacement, hemiarthroplasty); category 3: fracture fixation (examples: close manipulative reduction, dynamic hip screw) (
Supplementary Table S1). A sample size of 195 patients was determined using a sample size calculator available online (
http://www.raosoft.com/samplesize.html). The records were stratified proportionally to the three categories of surgeries. Samples were selected using a random number generator in Excel (Microsoft Office Professional Plus 2016). The inclusion criteria were warded patients undergoing orthopaedic surgery at the selected hospital who were prescribed coxibs or tNSAIDs. Exclusion criteria were patient profiles with missing data [
11], under 18 years of age and non-Malaysian patients. Here missing data were defined as when there was no oral or injectable tNSAIDs or coxibs logged in a patient’s record. However, for data that were missing completely at random [
12], such as baseline parameters, we included the patients for the purpose of this drug utilization review (DUR) study.
After screening for patient registration numbers from the operation theatre’s database, patients′ medical folders together with the intranet system-based medical records were accessed to retrieve the following data:
Age, gender, ethnicity of the patient;
Length of stay and hospital discharge;
Baseline parameters: serum creatinine (µmol/L), serum glucose (mmol/L), LDL-cholesterol (mmol/L), total cholesterol (mmol/L) and C-reactive protein (mg/L), measured on the first day upon admission before surgery;
Visual analogue scale (VAS) pain score;
List of tNSAIDs and/or coxibs and their maintenance dose per day;
Types of other analgesics prescribed for patient;
Concomitant prescriptions of:
Gastroprotective agent (GPA) (e.g., proton pump inhibitor (PPI), histamine-2 receptor antagonist (H2RA), or prostaglandin E1 analogue;
Drugs that may cause drug interaction (e.g., diuretics, beta blockers and ACE inhibitors) with tNSAIDs and/or coxibs;
Possible adverse effects.
The visual analogue scale (VAS) pain score was recorded in the nursing VAS chart after admission (preoperative) and during the post-surgical ward rounds, on average 2–3 times daily. Concomitant prescriptions were taken from the intranet system for accurate records. The adverse effects related to NSAIDs were determined by searching patients′ records for any incidence of myocardial infarction, stroke, or gastrointestinal symptoms.
This study was approved by two institutional review boards (IRBs); first, the academic research institution (KPJ Healthcare University College Research Committee and Research Ethics Committee), and second, the hospital (KPJ Seremban Specialist Hospital Research and Quality Innovation Committee). As per the teaching hospital’s policy, every patient signed the informed consent related to patient data confidentiality and compliance with the Declaration of Helsinki, allowing the review of their medical records for the purpose of education, management improvement and medical advancement.
3. Data Analysis
Data analysis was performed using SPSS (version 23.0). The distribution of each categorical variable was examined by an analysis of frequencies and percentages. The normality test of each numerical variable was evaluated by the Shapiro–Wilk test. For the normal variables, mean and standard deviation (mean ± SD) were used. For non-normal variables, median and interquartile range (IQR) as a range were used.
The NSAIDs, including tNSAIDs and coxibs that had been identified in this study, were classified according to the anatomical therapeutic chemical (ATC) classification (
Supplementary Table S2). All DDDs for drugs in this study were searched for and retrieved using the WHO Collaborating Centre for Drug Statistics Methodology: diclofenac sodium tablet (DDD
WHO = 100mg); parecoxib injection (DDD
WHO = 40 mg); etoricoxib tablet (DDD
WHO = 60 mg) and dexketoprofen injection (DDD
WHO = 75 mg) [
13].
Data reflected by DDD on drug consumption only present a basic estimation on the consumption of the drug usage instead of the actual utilization. Researchers can compare between patients’ groups and evaluate patterns in the consumption of drugs as DDD has a fixed unit of measuring the dose regardless of the dosage form (strength of the tablet) and price.
DDDs per 100 admissions was used instead of DDDs per bed days because the hospital in this study provides a multidisciplinary ward service. DDDs per 100 admissions estimate the percentage of patients admitted for orthopaedic surgery that may be prescribed one DDD of a NSAID for every day in that year. Its formula is:
The numerator of the above formula, “number of DDDs per year” (DDDdrug/year), is the total one-year usage of the specific drug, with the strength of the drug in the same unit as the DDDWHO. Its formula is:
The ratio of use density to use rate (UD/UR) was also calculated to evaluate the appropriateness of clinical application [
14] of both tNSAIDs and coxibs, by adapting the formula below:
The UD/UR has been found to be correlated with the drug utilization index (DUI), where a DUI of more than 1.0 indicates a possibility of overdose and a DUI less than or equal to 1.0 indicates that the dose is rational [
14]. This suggests that a UD/UR of more than 100 indicates a possibility of irrational medication and a UD/UR less than or equal to 100 indicates a possibility of rational medication.
4. Result
A total of 195 case records were reviewed: 132 males and 63 females. The majority of the patients (89.8%) were in the age group of less than 60 years old, and the highest age was 94. Among the selected three major types of orthopaedic surgeries, arthroscopy was the highest proportion (55.4%), followed by fracture fixation (35.9%) and reconstructive surgery (8.7%). For numerical variables, all non-normal distributed data, except total cholesterol, are reported in median (
Table 1).
During admission, there were other medications that were prescribed to patients (
Table 2). Most of the patients had not been prescribed with any gastroprotective agent (77.4%) nor any medication for comorbid condition (74.9%).
The utilization of tNSAIDs and coxibs prescriptions during admission are categorized as single and combinations of same or different types of NSAIDs (
Table 3). The majority of patients (64.1%) received one COX-2 inhibitor either orally or via injection.
DDD indicators and their related variables among types of surgeries are shown in
Table 4 and the interpretation is clarified in
Supplementary Table S3. Overall, DDDs per 100 admissions for all NSAIDs were less than 100, except for parecoxib injections (389.23). The UD/UR for all NSAIDs were less than 100, except for etoricoxib tablets (105.75) and parecoxib injections (108.00).
5. Discussion
Sales data of each drug are not sufficient to generate information to understand, interpret, evaluate and improve the prescribing, administration and use of NSAIDs. Therefore, the drug utilization data will be useful for the pharmacy as well as management team for auditing and quality improvement.
5.1. Patient Demographic and Characteristic
The findings from this study based on the baseline parameters suggest that most of the patients had low rates of most common comorbid conditions such as cardiovascular events and underlying chronic renal disease. Previous studies have suggested that private specialized hospitals provide treatment to lower-risk patient populations than competing general hospitals [
15,
16]. This is also supported by the findings from this study that revealed that, during admission, most of the patients (74.9%) had not been prescribed any other drugs that may cause drug interaction with NSAIDs (
Table 2). Gastroprotective agents are added to the NSAIDs regimen as one method of reducing adverse gastrointestinal events associated with NSAIDs [
17]. The majority of patients were not prescribed any gastroparetic agents during admission (151 out of 195, 77.4%) or follow-up (186 out of 189, 98.4%), which suggests that patients might be at low risk of gastrointestinal adverse outcomes. The duration of follow-up on any prescribed gastroparetic agents was up to two months, to avoid any adverse gastrointestinal outcomes [
18].
5.2. Multimodal Analgesia
As presented in
Table 2, the majority of the patients received other analgesics through more than 80 different combinations that may be customised accordingly, with the aim of achieving the desired level of pain relief. These combinations, wherein drugs from the opioid and non-opioid group are given synergistically, adhere to Malaysia Ministry of Health guidelines [
4,
5]. The other analgesics identified in this study were strong opioids (fentanyl injections, morphine injections, pethidine injections, oxycodone injections), weak opioids (tramadol injections and capsules), paracetamol (injections and tablets), a combination of paracetamol–codeine tablets, a combination of paracetamol–tramadol tablets, muscle relaxants (eperisone tablets, Esmeron injections), anxiolytics (alprazolam tablets, diazepam tablets), antidepressants (amitriptyline tablets) and anticonvulsants (gabapentin tablets). This procedure for managing postoperative pain is called “multimodal analgesia”, consisting of the use of a variety of analgesic medications and different routes that target different mechanisms of action in the peripheral and/or central nervous system [
19]. Opioids have been the conventional treatment for postoperative pain. However, their actions are limited to providing analgesia to the central nervous system sites; they do not act against the inflammatory component of pain. The majority of patients (184 out of 195, 94.4%) were given at least one opioid for severe pain, though a few recommendations suggest using NSAIDs to manage postoperative pain and minimize opioid-induced adverse events [
8,
19,
20,
21].
5.3. Overall NSAIDs Utilization
During admission (
Table 3), some patients (60/195, 30.8%) received more than one NSAID, which may be due to insufficient analgesia with a single agent [
22]. It was revealed that the coxibs were prescribed more than the tNSAIDs (
Table 3) and we calculated the DDD indicators (
Table 4). The utilization of tNSAIDs was low for dexketoprofen and diclofenac, 10.60 DDD/100 admissions and 2.05 DDD/100 admissions, respectively. The UD/UR for both tNSAIDs covered in this study were less than 100, indicating the appropriateness of clinical application. Other than established evidence on complicated gastrointestinal events of tNSAIDs [
5,
23] that may affect patients′ adherence, there is no evidence to determine that any of the coxibs are more efficient for postoperative pain control than the tNSAIDs. The often-cited reasons for the preference of coxibs are the reduced incidence of adverse gastrointestinal effects, patient preferences and cost-effectiveness [
24,
25]. Most of the patients were covered by insurance (183/195, 93.8%), which may have influenced the prescribers to choose the coxibs instead of tNSAIDs, as compared to public hospitals [
10].
Overall, the rate of prescribed parecoxib usage was the highest based on the number of DDDs per year (759) and DDDs per 100 admissions (389.23). This was similar to the trend of parecoxib utilization in Malaysia that has shown the highest increase and was mostly contributed by the private sector [
9]. Parecoxib was reported better than tNSAIDs for postoperative analgesia with minimal adverse effects [
26,
27]. The UD/UR for parecoxib injection in total was 108.00, suggesting that the utilization of parecoxib may require further close monitoring by the clinical audit team. However, no adverse effects related to parecoxib were reported in this study. This finding can be confirmed with the systematic review that concluded the safety profile of parecoxib to be utilized for managing postoperative pain [
28]. A clinical trial has suggested that a lower dose administration of parecoxib 20 mg, once or twice daily, was also sufficient for effective postoperative pain control [
29]. This strategy may be useful in achieving the rational use of parecoxib.
With regard to the analgesic effect over 12 h, parenteral parecoxib 40 mg given before surgery was reported as more effective than oral celecoxib 400 mg given after surgery [
30]. This was probably the reason for why parecoxib was preferred to celecoxib among the study site’s prescribers, where only 67.2% of patients (
Table 4) were prescribed with celecoxib upon admission for orthopaedic surgery. The wide usage of celecoxib is confirmed with the national data in which celecoxib was ranked third among all NSAIDs used after diclofenac and mefenamic acid [
9]. Some studies have reported that celecoxib was effective for perioperative management in reducing pain and total opioid use with minimal adverse effects [
30,
31,
32]. The UD/UR for the celecoxib capsule was 81.73 in total, suggesting an appropriate clinical application with dosage given in accordance with WHO′s DDDs (
Table 4). In this study, the 400 mg celecoxib dose once daily or 200 mg celecoxib dose twice daily was noted in the database complied with guidelines (MIMS Malaysia). Some studies have reported that celecoxib was better than tNSAIDs in terms of safety profile and pain control effectiveness [
19,
33].
Overall, the utilization of the etoricoxib tablet was 57.95 DDD/100 admissions; but the UD/UR was 105.75 (
Table 4), indicating that closer monitoring is needed. However, there were no adverse effects related to etoricoxib reported in this study. This finding can be confirmed with the systematic review that concluded the safety profile of etoricoxib and its effectiveness to be utilized for managing postoperative pain [
34,
35,
36]. In this study, 60 mg, 90 mg, or 120 mg etoricoxib dose once daily was noted in the database, which are compliant with the guidelines (MIMS Malaysia). A systematic review has revealed that a single 90 mg dose of etoricoxib was as effective as a single 120 mg dose of etoricoxib in producing useful pain relief for 20 h in half of the people treated [
34]. This strategy may be useful in achieving the rational use of etoricoxib.
For the overall utilization of NSAIDs in the study site, there were a few factors mentioned above that influenced prescribers to select coxibs instead of tNSAIDs. To sum up, coxibs are preferable because of their pharmacology profile, i.e., long duration of action, reduced incidence of tNSAIDs-related gastrointestinal side effects, and consequent reduced opioid use and related side effects [
22,
37].
5.4. NSAIDs Utilization in Each Type of Surgery
We calculated the DDD indicators of all NSAIDs in each type of surgery (
Table 4). In all types, utilization of both tNSAIDs (dexketoprofen, diclofenac) were less than 100 for both DDDs/100 admissions and UD/UR, excluding dexketoprofen, which was not utilized in reconstructive surgery. Arthroscopy surgery demonstrated that all utilized NSAIDs (except parecoxib injections) were less than 100 for both DDDs/100 admissions and UD/UR. There was a similar pattern with arthroscopy surgery: the DDDs/100 admissions in fixation surgery for all utilized NSAIDs (except parecoxib injections) were less than 100. However, the UD/UR in fixation surgery indicated more than 100 for both parecoxib and etoricoxib, suggesting the inappropriateness of clinical application and the need for enhanced monitoring. Meanwhile, for reconstructive surgery, the DDDs per 100 admissions for all coxibs (celecoxib capsules, etoricoxib tablets, parecoxib injections) were more than 100. Contrary to common perception [
38], the UD/UR for parecoxib and etoricoxib in reconstructive surgery were 73.26 and 62.50, respectively, suggesting the appropriateness of clinical application. Arthroscopy, reconstructive and fixation surgeries demonstrated high-pain intensity on the first day after the surgery [
2]. This phenomenon was confirmed in this study, where higher use of parecoxib and etoricoxib is evident. Another study is also in agreement with this notion because orthopaedic surgeons prescribed more NSAIDs than other specialists—gynaecologists, paediatricians, general surgeons, internists and dentists [
39]. Generally, arthroscopy procedures are less complicated than reconstructive and fracture fixations [
40,
41]. This might be the reason why the utilization of NSAIDs was appropriate in arthroscopy surgery.
6. Conclusions
Overall, the utilization of NSAIDs at the selected site of study was appropriate, but some NSAID dosages given were not in accordance with the WHO′s DDDs. As per the guidelines, almost all records showed patients received other analgesics to ensure a multimodal approach was carried out to control pain. Overall, DDDs per 100 admissions for all NSAIDs resulted in less than 100 except for parecoxib injections. The UD/UR for all NSAIDs were less than 100 except for etoricoxib tablets and parecoxib injections. Gastroprotective agents, as per recommendation by clinical practice guidelines, were not prescribed unnecessarily. Arthroscopy surgery demonstrated the most appropriate utilization of NSAIDs. The findings of this DUR provide an insight for a low-risk patient population at a private specialized teaching hospital. It is essential to perform the NSAIDs DDD indicators calculation individually for each type of surgery, for better monitoring purposes.
Supplementary Materials
The following are available online at
https://www.mdpi.com/2226-4787/8/4/235/s1, Table S1: List of selected four types of surgeries, Table S2: Anatomical therapeutic chemical (ATC) code and defined daily dose (DDD) for NSAIDs, Table S3: Interpretation of utilization among types of surgeries.
Author Contributions
Conceptualization, W.H.C.H.; data curation, F.S.B.; formal analysis, F.S.B.; Investigation, F.S.B. and L.C.M.; methodology, W.H.C.H., L.C.M. and M.M.M.; project administration, S.M.F.; supervision, M.M.-B.; validation, W.H.C.H. and M.M.M.; writing—original draft, F.S.B., M.M.-B. and L.C.M.; writing—review & editing, F.S.B. and L.C.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Acknowledgments
We thank Syarifah Zulikha Syed Mohd Sukri (research officer), Zuhalini Zainal (registered nurse), Muhammad Firdaus Mohd Shuib (pharmacist), Shaharin Izhar Abd Rahman (head of health information management services) and Shahrizal Mohd Ali (medical record officer) at KPJ Seremban Specialist Hospital for their assistance with data collection. We also thank Azuana Ramli of the Pharmaceutical Services Programme, Ministry of Health and Rahela Ambaras Khan (clinical pharmacist) at Kuala Lumpur Hospital, for their expert advice with DDD indicators.
Conflicts of Interest
The authors report no conflicts of interest in this work.
References
- Ministry of Health Malaysia. Annual Report Ministry of Health Malaysia 2017; Health Informatics Centre, Ministry of Health, Malaysia: Putrajaya, Malaysia, 2018.
- Gerbershagen, H.J.; Aduckathil, S.; van Wijck, A.J.; Peelen, L.M.; Kalkman, C.J.; Meissner, W. Pain intensity on the first day after surgery. Anesthesiology 2013, 118, 934–944. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- National Institute for Health and Care Excellence. Patient Experience in Adult NHS Services: Improving the Experience of Care for People Using Adult NHS Services. Available online: https://www.nice.org.uk/guidance/cg138 (accessed on 10 December 2019).
- Medical Development Division. Pain Management Handbook; Ministry of Health Malaysia: Putrajaya, Malaysia, 2013.
- Pharmaceutical Services Programme. Pain Medication Therapy Management Services: Guideline for Pharmacy, 2nd ed.; Ministry of Health Malaysia: Putrajaya, Malaysia, 2018.
- Bourne, M.H. Analgesics for Orthopedic Postoperative Pain. Am. J. Orthop. 2004, 33, 128–135. [Google Scholar] [PubMed]
- Eyichukwu, G.O. Non-steroidal anti inflammatory drugs usage in orthopaedics and trauma practice. A guide and review. Niger. J. Med. 2010, 19, 374–381. [Google Scholar] [CrossRef] [PubMed]
- Gupta, A.; Bah, M. NSAIDs in the treatment of postoperative pain. Curr. Pain Headache Rep. 2016, 20, 62. [Google Scholar] [CrossRef] [PubMed]
- Ministry of Health Malaysia. Malaysian Statistics on Medicines (MSOM) 2011–2014; Pharmaceutical Services Programme, Ministry of Health Malaysia: Petaling Jaya, Selangor, Malaysia, 2017.
- Khairudin, K.A.; Jatau, A.I.; Manan, M.M.; Chua, S.T.; Mallikarjun, C.; Abdullah, A.H.; Sundara Rajan, M.; Arshad, K. Utilization pattern of non-steroidal anti-inflammatory drugs at a primary health care in malaysia. Indian J. Pharm. Educ. Res. 2017, 51, 156–161. [Google Scholar] [CrossRef] [Green Version]
- Altman, D.G.; Bland, J.M. Missing data. Br. Med. J. 2007, 334, 424. [Google Scholar] [CrossRef] [Green Version]
- Brockwell, P.J.; Davis, R.A. Missing data concepts. In Springer Series in Statistics Advisors: Models for Discrete Longitudinal Data; Springer: New York, NY, USA, 2006; pp. 481–488. [Google Scholar]
- WHO Collaborating Centre for Drug Statistics Methodology. WHOCC—ATC/DDD Index. Available online: https://www.whocc.no/atc_ddd_index/ (accessed on 18 December 2019).
- Zheng, B.; Li, N.; Hu, Z.; Liu, M. From population to individuals: A new indicator for evaluating the appropriateness of clinical application of antibiotics. BMC Pharmacol. Toxicol. 2018, 19, 1–7. [Google Scholar] [CrossRef] [Green Version]
- Cram, P.; Rosenthal, G.; Vaughan-sarrazin, M. Cardiac revascularization in specialty and general hospitals. N. Engl. J. Med. 2005, 352, 1454–1462. [Google Scholar] [CrossRef]
- Cram, P.; Vaughan-sarrazin, M.; Rosenthal, G. Hospital characteristics and patient populations served by physician owned and non physician owned orthopedic specialty hospitals. BMC Health Serv. Res. 2007, 7, 1–7. [Google Scholar] [CrossRef] [Green Version]
- Singh, G.; Triadafilopoulos, G. Appropriate choice of proton pump inhibitor therapy in the prevention and management of NSAID-related gastrointestinal damage. Int. J. Clin. Pract. 2005, 59, 1210–1217. [Google Scholar] [CrossRef]
- Koffeman, A.R.; Van Buul, A.R.; Valkhoff, V.E.; Jong, G.W.T.; Bindels, P.J.E.; Sturkenboom, M.C.J.M.; Van Der Lei, J.; Luijsterburg, P.A.J.; Bierma-Zeinstra, S.M.A. Adverse drug reactions in a primary care population prescribed non-steroidal anti-inflammatory drugs. Scand. J. Prim. Health Care 2015, 33, 163–169. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Chou, R.; Gordon, D.B.; De Leon-casasola, O.A.; Rosenberg, J.M.; Bickler, S.; Brennan, T.; Carter, T.; Cassidy, C.L.; Chittenden, H.; Degenhardt, E.; et al. Management of postoperative pain: A clinical practice guideline from the american pain society, the american society of regional anesthesia and pain medicine, and the american society of anesthesiologists’ committee on regional anesthesia, executive commi. J. Pain 2016, 17, 131–157. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Carrier, C.S.; Garvey, K.D.; Brook, E.M.; Matzkin, E.G. Patient satisfaction with nonopioid pain partial meniscectomy and/or chondroplasty. Orthopedics 2018, 41, 209–214. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Anna, R.; Mark, A.R. Perioperative nonopioid agents for pain control in spinal surgery. Am. J. Health Pharm. 2014, 71, 1845–1857. [Google Scholar] [CrossRef]
- Ong, C.K.S.; Lirk, P.; Tan, C.H.; Seymour, R.A. An evidence-based update on nonsteroidal anti-inflammatory drugs. Clin. Med. Res. 2007, 5, 19–34. [Google Scholar] [CrossRef] [Green Version]
- Laine, L. GI Risk and Risk Factors of NSAIDs. J. Cardiovasc. Pharmacol. 2006, 47 (Suppl. 1), 60–66. [Google Scholar] [CrossRef] [PubMed]
- Laine, L. Gastrointestinal effects of NSAIDs and coxibs. J. Pain Symptom. Manage. 2003, 25 (Suppl. 2), 32–40. [Google Scholar] [CrossRef]
- Byun, J.H.; Kwon, S.H.; Lee, J.E.; Cheon, J.E.; Jang, E.J.; Lee, E.K. Comparison of benefit-risk preferences of patients and physicians regarding cyclooxygenase-2 inhibitors using discrete choice experiments. Patient Prefer. Adherence 2016, 10, 641–650. [Google Scholar] [CrossRef] [Green Version]
- Rømsing, J.; Møiniche, S.A. Systematic Review of COX-2 inhibitors compared with traditional NSAIDs, or different COX-2 inhibitors for post-operative pain. Acta Anaesthesiol. Scand. 2004, 48, 525–546. [Google Scholar] [CrossRef]
- Bajaj, P.; Ballary, C.C.; Dongre, N.A.; Baliga, V.P.; Desai, A.A. Comparison of the effects of parecoxib and diclofenac in preemptive analgesia: A prospective, randomized, assessor-blind, single-dose, parallel-group study in patients undergoing elective general surgery. Curr. Ther. Res. Clin. Exp. 2004, 65, 383–397. [Google Scholar] [CrossRef] [Green Version]
- Schug, S.A.; Parsons, B.; Li, C.; Xia, F. The safety profile of parecoxib for the treatment of postoperative pain: A pooled analysis of 28 randomized, double-blind, placebo-controlled clinical trials and a review of over 10 years of postauthorization data. J. Pain Res. 2017, 10, 2451–2459. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Viscusi, E.R.; Gimbel, J.S.; Halder, A.M.; Snabes, M.; Brown, M.T.; Verburg, K.M. A Multiple-day regimen of parecoxib sodium 20 Mg twice daily provides pain relief after total hip arthroplasty. Anesth. Analg. 2008, 107, 652–660. [Google Scholar] [CrossRef] [PubMed]
- Ittichaikulthol, W.; Prachanpanich, N.; Kositchaiwat, C.; Intapan, T. The post-operative analgesic efficacy of celecoxib compared with placebo and parecoxib after total hip or knee arthroplasty. J. Med. Assoc. Thail. 2010, 93, 937–942. [Google Scholar]
- Huang, Y.M.; Wang, C.M.; Wang, C.T.; Lin, W.P.; Horng, L.C.; Jiang, C.C. Perioperative celecoxib administration for pain management after total knee arthroplasty—A randomized, controlled study. BMC Musculoskelet. Disord. 2008, 9, 1–6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Zhou, F.; Du, Y.; Huang, W.; Shan, J.; Xu, G. The efficacy and safety of early initiation of preoperative analgesia with celecoxib in patients underwent arthroscopic knee surgery. Medicine 2017, 96, 1–6. [Google Scholar] [CrossRef]
- Al-Sukhun, J.; Al-Sukhun, S.; Penttilä, H.; Ashammakhi, N.; Al-Sukhun, R. Preemptive analgesic effect of low doses of celecoxib is superior to low doses of traditional nonsteroidal anti-inflammatory drugs. J. Craniofac. Surg. 2012, 23, 526–529. [Google Scholar] [CrossRef]
- Clarke, R.; Derry, S.; Moore, R.A. Single dose oral etoricoxib for acute postoperative pain in adults. Cochrane Database Syst. Rev. 2014, 2017. [Google Scholar] [CrossRef] [Green Version]
- Srivastava, S.; Gupta, D.; Naz, A.; Rizvi, M.M.; Singh, P.K. Effects of preoperative single dose etoricoxib on postoperative pain and sleep after lumbar diskectomy: Prospective randomized double blind controlled study. Middle East J. Anesthesiol. 2012, 21, 725–730. [Google Scholar]
- Rawal, N.; Viscusi, E.; Peloso, P.M.; Minkowitz, H.S.; Chen, L.; Shah, S.; Mehta, A.; Chitkara, D.K.; Curtis, S.P.; Papanicolaou, D.A. Evaluation of etoricoxib in patients undergoing total knee replacement surgery in a double-blind, randomized controlled trial. BMC Musculoskelet. Disord. 2013, 14, 1–14. [Google Scholar] [CrossRef] [Green Version]
- Gajraj, N. COX-2 inhibitors celecoxib and parecoxib: Valuable options for postoperative pain management. Curr. Top. Med. Chem. 2007, 7, 235–249. [Google Scholar] [CrossRef]
- Straube, S.; Derry, S.; McQuay, H.J.; Moore, R.A. Effect of preoperative Cox-II-Selective NSAIDs (Coxibs) on postoperative outcomes: A systematic review of randomized studies. Acta Anaesthesiol. Scand. 2005, 49, 601–613. [Google Scholar] [CrossRef] [PubMed]
- Zeinali, M.; Tabeshpour, J.; Maziar, S.V.; Taherzadeh, Z.; Zirak, M.R.; Sent, D.; Azarkhiavi, K.R.; Eslami, S. Prescription pattern analysis of nonsteroidal anti-inflammatory drugs in the northeastern iranian population. J. Res. Pharm. Pract. 2017, 6, 206–210. [Google Scholar] [CrossRef] [PubMed]
- Nabian, M.H.; Tahmasebi, M.N.; Keyhani, S.; Mortazavi, J.; Sobhan, M.R.; Zanjani, L.O. Comparison of arthroscopic assisted reduction and internal fixation versus open reduction and internal fixation in tibia plateau fracture treatment: A prospective cohort study with historical controls. J. Orthop. Spine Trauma 2015, 1. Available online: https://jost.tums.ac.ir/index.php/jost/article/view/109/109 (accessed on 2 December 2020).
- Ezechieli, M.; Schäfer, M.; Becher, C.; Dratzidis, A.; Glaab, R.; Ryf, C.; Hurschler, C.; Ettinger, M. Biomechanical Comparison of Different Fixation Techniques for Reconstruction of Tibial Avulsion Fractures of the Anterior Cruciate Ligament. Int. Orthop. 2013, 37, 919–923. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Table 1.
Patient demographics and characteristics.
Table 1.
Patient demographics and characteristics.
Characteristics | n | Mean ± SD */Median (IQR) ** |
---|
Age (year) | 195 | 40 (28–53) ** |
Pain score before surgery (maximum pain score of ten) | 195 | 3 (2–3) ** |
Pain score during admission (maximum pain score of ten) | 195 | 3.5 (3.0–4.5) ** |
Length of stay in hospital after surgery (day) | 195 | 3 (2–4) ** |
Total length of stay in hospital (day) | 195 | 4 (3–5) ** |
Baseline parameters | | |
Serum creatinine (µmol/L) [normal range 51–115] | 161 | 78 (60–91) ** |
Serum glucose (mmol/L) [normal range 3.9–6.1] | 148 | 5.8 (5.1–7.4) ** |
LDL-cholesterol (mmol/L) [risk indicator > 4.1] | 146 | 3.0 (2.3–3.7) ** |
Total cholesterol (mmol/L) [risk indicator > 6.2] | 146 | 5.2 ± 1.0 * |
C-reactive protein (mg/L) [<1 mg/L (Low risk), 1–3 mg/L (Average risk), >3 mg/L (high risk)] | 139 | 2.6 (1.5–8.4) ** |
Table 2.
Concomitant prescribed medication at admission.
Table 2.
Concomitant prescribed medication at admission.
| n | % |
---|
Gastroprotective Agent |
None | 151 | 77.4 |
One Proton Pump Inhibitor | 40 | 20.5 |
One Histamine-2 Receptor Antagonist | 1 | 0.5 |
One prostaglandin E1 analogue | 1 | 0.5 |
Two Proton Pump Inhibitors | 2 | 1.0 |
Medication for Comorbid Condition |
None | 146 | 74.9 |
One medication | 25 | 12.8 |
Anticoagulant alone | 6 | |
Diabetes alone | 6 | |
Hypertension alone | 6 | |
Asthma alone | 3 | |
Heartburn alone | 2 | |
Gout alone | 2 | |
Hyperlipidaemia alone | 0 | |
Medication for Comorbid Condition |
Two medications | 10 | 5.1 |
Hypertension + Hyperlipidaemia | 3 | |
Anticoagulant + Hypertension | 2 | |
Asthma + Hypertension | 1 | |
Asthma + Diabetic | 1 | |
Gout + Hypertension | 1 | |
Diabetic + Hyperlipidaemia | 1 | |
Hyperlipidaemia + Heartburn | 1 | |
Three medications | 10 | 5.1 |
Anticoagulant + Hypertension + Hyperlipidaemia | 4 | |
Anticoagulant + Diabetic + Hyperlipidaemia | 1 | |
Anticoagulant + Diabetic + Hypertension | 1 | |
Asthma + Diabetic + Hypertension | 1 | |
Asthma + Anticoagulant + Diabetic | 1 | |
Diabetic + Hyperlipidaemia + Hypertension | 1 | |
Hyperlipidaemia + Anticoagulant + Heartburn | 1 | |
Four medications | 4 | 2.1 |
Anticoagulant + Diabetic + Hypertension + Heartburn | 2 | |
Anticoagulant + Diabetic + Hypertension + Hyperlipidaemia | 1 | |
Anticoagulant + Hypertension + Heart failure + Hypothyroidism | 1 | |
Other Analgesics |
None | 6 | 3.1 |
Other Analgesics | 189 | 96.9 |
One Strong Opioid + One Weak Opioid + One Muscle Relaxant | 9 | |
One Strong Opioid + One Weak Opioid + One Non-Opioid + One Muscle Relaxant + One Anxiolytic | 7 | |
One Strong Opioid + One Weak Opioid + One Anxiolytic | 7 | |
One Strong Opioid + One Muscle Relaxant | 7 | |
One Strong Opioid + One Weak Opioid + One Non-Opioid + One Muscle Relaxant | 6 | |
Two Strong Opioid + One Weak Opioid + One Muscle Relaxant | 6 | |
One Strong Opioid + One Muscle Relaxant + One Anxiolytic | 5 | |
One Weak Opioid + One Anxiolytic | 5 | |
One Weak Opioid alone | 5 | |
One Strong opioid alone | 3 | |
One Anxiolytic alone | 2 | |
Other 80 different combinations (in total) | 127 | |
Table 3.
Utilization of prescription of nonsteroidal anti-inflammatory drugs (NSAIDs) during admission (n = 195).
Table 3.
Utilization of prescription of nonsteroidal anti-inflammatory drugs (NSAIDs) during admission (n = 195).
| Arthroscopy | Reconstructive | Fixation | Total |
---|
None | 5/108 (4.6%) | 0/17 (0%) | 1/70 (1.4%) | 6/195 (3.1%) |
One coxib | 64/108 (59.2%) | 8/17 (47.1%) | 54/70 (71.1%) | 125/195 (64.1%) |
One tNSAID + One coxib | 11/108 (10.2%) | 1/17 (5.9%) | 4/70 (5.7%) | 16/195 (8.2%) |
Two coxibs | 18/108 (16.7%) | 7/17 (41.2%) | 8/70 (11.4%) | 34/195 (17.4%) |
One tNSAID | 3/108 (2.8%) | 0/17 (0%) | 1/70 (1.4%) | 4/195 (2.1%) |
One tNSAID + Two coxibs | 6/108 (5.6%) | 1/17 (5.9%) | 2/70 (2.8%) | 9/195 (4.6%) |
Two tNSAIDs + Two coxibs | 1/108 (0.9%) | 0/17 (0%) | 0/70 (0%) | 1/195 (0.5%) |
Table 4.
Defined daily dose (DDD) indicators and their related variables among types of surgeries.
Table 4.
Defined daily dose (DDD) indicators and their related variables among types of surgeries.
| Arthroscopy | Reconstructive | Fixation | Overall |
---|
Number of inpatients, n | 108 | 17 | 70 | 195 |
Average length of stay, day | 3.99 | 6.24 | 3.79 | 4.11 |
Dexketoprofen injection (DDDWHO = 75 mg) | | | | |
Number of inpatients receiving drug | 5 | 0 | 3 | 8 |
Total drug prescribed for adult patient (Drugprescribed), mg | 1100 | 0 | 450 | 1550 |
Number of DDDs per year (DDDdrug/year) | 14.67 | 0 | 6 | 20.67 |
DDDs per 100 admissions | 13.58 | 0 | 8.57 | 10.60 |
Ratio of use density to use rate (UD/UR) | 73.52 | 0 | 52.77 | 62.85 |
Diclofenac sodium tablet (DDDWHO = 0.1 g) | | | | |
Number of inpatients receiving drug | 1 | 1 | 1 | 3 |
Total drug prescribed for adult patient (Drugprescribed), mg | 250 | 50 | 100 | 400 |
Number of DDDs per year (DDDdrug/year) | 2.5 | 0.5 | 1 | 4 |
DDDs per 100 admissions | 2.31 | 2.94 | 1.43 | 2.05 |
Ratio of use density to use rate (UD/UR) | 62.66 | 8.01 | 26.39 | 32.44 |
Celecoxib capsule (DDDWHO = 0.2 g) | | | | |
Number of inpatients receiving drug | 21 | 10 | 8 | 39 |
Total drug prescribed for adult patient (Drugprescribed), mg | 12,800 | 7800 | 5600 | 26,200 |
Number of DDDs per year (DDDdrug/year) | 64 | 39 | 28 | 131 |
DDDs per 100 admissions | 59.26 | 229.41 | 40.00 | 67.18 |
Ratio of use density to use rate (UD/UR) | 76.38 | 62.50 | 92.35 | 81.73 |
Etoricoxib tablet (DDDWHO = 60 mg) | | | | |
Number of inpatients receiving drug | 10 | 2 | 14 | 26 |
Total drug prescribed for adult patient (Drugprescribed), mg | 1710 | 1350 | 3720 | 6780 |
Number of DDDs per year (DDDdrug/year) | 28.5 | 22.5 | 62 | 113 |
DDDs per 100 admissions | 26.39 | 132.35 | 88.57 | 57.95 |
Ratio of use density to use rate (UD/UR) | 71.43 | 180.29 | 116.85 | 105.75 |
Parecoxib injection (DDDWHO = 40 mg) | | | | |
Number of inpatients receiving drug | 99 | 14 | 58 | 171 |
Total drug prescribed for adult patient (Drugprescribed), mg | 16,960 | 2560 | 10,840 | 30,360 |
Number of DDDs per year (DDDdrug/year) | 424 | 64 | 271 | 759 |
DDDs per 100 admissions | 392.59 | 376.47 | 387.14 | 389.23 |
Ratio of use density to use rate (UD/UR) | 107.34 | 73.26 | 123.28 | 108.00 |
| Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).