Drug-related problems in patients with rheumatoid arthritis

Abstract

Background

Rheumatoid arthritis (RA) patients are at risk of acquiring drug-related problems (DRPs). However, there has been a lack of studies on DRPs in patients with RA up to now.

Method

This retrospective study was conducted in a tertiary hospital in Malaysia from January 2012 to December 2017 with the purpose of assessing DRPs in RA patients and factors associated with its occurrence. A total of 200 patients who had received pharmacological treatment for RA were enrolled in this study. Assessment of DRPs was based on the Pharmaceutical Network Care Europe tool version 5.01.

Results

A total of 289 DRPs with an average of 1.5±1.0 problems per patient were identified, in which 78.5% of the population had at least one DRP. The most common DRPs encountered were adverse reactions (38.8%), drug interactions (33.6%), and drug-choice problems (14.5%). Factors that had significant association with the occurrence of DRPs were polypharmacy (P=0.003), multiple comorbidities (P=0.001), hyperlipidemia (P=0.009), osteo (P=0.040), and renal impairment (P=0.044). These data indicated that the prevalence of DRPs was high among RA patients.

Conclusion

Early identification of types of DRPs and associated factors may enhance the prevention and management of RA.

Keywords:

• RA drugs
• DRPs
• factor associated
• prevention and management

Introduction

Rheumatoid arthritis (RA) is a chronic autoimmune disease that gives rise to inflammation of joints, characterized by swelling and pain.¹ RA can progress from self-limiting arthritis to irreversible joint destruction, and eventually to morbidity and disability.² The prevalence of RA in Southeast Asia is 0.4%, and is around 1% of the population worldwide.^3,4 According to the Malaysian National Inflammatory Arthritis Registry, incidence is approximately double in female: 70% of RA patients are females. A study in the French West Indies has reported that the incidence of RA increases with age until around the eighth decade of life and declines thereafter.⁵

Symptoms and severity of RA can vary for each individual to a different extent. Some may experience mild–moderate forms with periods of flares and remission, while others may have severe forms, which stay active most of the time and last a lifetime.⁶ However, the specific causes of RA remain unclear.⁷ It is believed that a combination of genetic and environmental factors, such as female sex, family history, and exposure to tobacco smoke, are associated with the etiology of RA.⁴ Drug classes used to treat RA include nonsteroidal anti-inflammatory drugs (NSAIDs), disease-modifying antirheumatic drugs (DMARDs), and corticosteroids, the selection of drug depending on the severity of the disease.⁸

RA may lead to multiple complications and comorbidities, such as cardiovascular, pulmonary, and neuropsychiatric diseases, infection, and malignancy.⁹ The risk of cardiovascular disease is higher by 1.5-fold to 2-fold in RA patients, due to systemic chronic inflammation of RA.¹⁰ According to a previous study, RA patients have two or more comorbidities on average.¹¹ A recent nationwide survey in South Korea showed that the most frequently associated comorbidities in RA patients included hypertension (30.3%), osteoarthritis (22.6%), dyslipidemia (14.1%), diabetes mellitus (12.9%), and depression (11.2%).¹² The presence of comorbidities may affect the common outcome measures used specifically in RA, especially joint scores, remission and response criteria, and functional disability assessment.¹³ Furthermore, it will enhance the complexity of disease in patients with RA, which in turn poses the risk of acquiring drug-related problems (DRPs).

DRPs are events or circumstances involving drug therapy that actually or potentially interfere with desired health outcomes.¹⁴ There is a high incidence of DRPs in RA patients, such as drug–drug interactions, dosing problems, drug-choice problems, and adverse reactions.¹⁵ The incidence of DRPs is probably higher in elderly RA patients who receive multiple drugs to treat their comorbidities, resulting in polypharmacy and complex medication regimens.¹⁶ High inflammatory activity and long duration of treatment for chronic RA have also been shown to contribute to DRPs.¹⁶

In Malaysia, there have been studies done on DRPs in other diseases, including erectile dysfunction, benign prostatic hyperplasia, and diabetes mellitus.^17–19 However, there has been a lack of studies on DRPs in patients with RA up to now. Currently, there are very limited data on DRPs in patients with RA in Malaysia. Owing to the potentially poor prognosis and susceptibility of acquiring DRPs that may affect quality of life, this study is crucial to provide additional data on the types and factors associated with DRPs in RA patients.

Methods

Study design and setting

This was a cross-sectional retrospective study conducted at the University of Malaya Medical Center (UMMC), a specialist tertiary hospital in Malaysia with approximately 1,300 beds, comprising 44 wards and serving around 1.7 million people in the Klang Valley area.

Study population and sampling framework

This study included a minimum sample of 95 patients, which was calculated by using Epi Info 7.0 (Centers for Disease Control and Prevention, Atlanta, GA, USA). In this program, the two-sided confidence level was set as 95%, corresponding to a significance level (α) of 0.05. The desired power (1 – β) of the study was fixed as 80%. The expected proportion of RA patients was calculated based on the prevalence of RA, which is 1% worldwide. The study population consisted of all RA patients who fulfilled the requirements of the American College of Rheumatology (ACR)–European League Against Rheumatism (EULAR) 2010 criteria and CD10 code M05 and who had visited the UMMC from January 1, 2012 to December 31, 2017.

Study procedures

This study was in compliance with the Declaration of Helsinki, and it was approved by the medical ethics committee of the UMMC (20171030-5727). The committee waived the need for written informed consent from patients. Patient records were anonymized and deidentification of data done preceding analysis. The list of RA patients that fulfilled the ACR–EULAR 2010 criteria and ICD10 classification was retrieved from patient-information records of the UMMC. Patients were then screened for fulfillment of inclusion criteria based on the Ipesakit database. Thereafter, all relevant data stipulated in the data-collection form were collected from patients’ electronic medical records. As this retrospective study was highly dependent on medical records as the only source of data, assessment of causality associated with DRPs was less robust. Figure 1 shows an overview of methodology.

Figure 1 Overview of methodology.

Abbreviation: UMMC, University of Malaya Medical Centre.

Inclusion criteria were patients 18 years old and above, diagnosed with RA, and had received at least one medication indicated for RA. Exclusion criteria were patients with missing data, diagnosed with RA, but had not received any pharmacological treatment, and diagnosed with RA, but had received only nonpharmacological or complementary alternative medicines.

Data collection

Data collected were demographic information, such as age at diagnosis, age at initiation of RA treatment, sex, ethnicity, weight, height, body-mass index, and smoking and alcohol-consumption status; clinical characteristics, such as duration of hospitalization, time from RA diagnosis, RA extra-articular manifestation, complications, and comorbidities; laboratory results, including CRP, erythrocyte-sedimentation rate, and other monitoring parameters stated in medical folders; medications used in the treatment of RA, including corticosteroids, conventional synthetic DMARDs (csDMARDs), biological DMARDs, and other concurrent medications. Assessment of DRPs was based on the Pharmaceutical Care Network Europe (PCNE) classification version 5.01 and definitions of terms are given in Table 1.

Table 1 Definition of terms

	Definition
Sjögren’s syndrome	A chronic autoimmune condition attacking in particular the tear and salivary glands, characterized by degeneration of the salivary and lachrymal glands, causing dryness of the mouth and eyes^Citation20
Hallux valgus	A progressive foot deformity in which the first metatarsophalangeal joint is affected and often accompanied by significant functional disability and foot pain^Citation21
Lung fibrosis	A lung disease where healthy tissue is replaced by altered extracellular matrix and alveolar architecture is destroyed, which leads to decreased lung compliance, disrupted gas exchange, and ultimately respiratory failure and death^Citation22
Elderly	People aged 65 years and above^Citation23
Polypharmacy	The use of five or more medications^Citation24
Renal impairment	A condition that includes acute kidney injury, which refers to the sudden and rapid reduction of renal functions, over hours to days, as well as chronic kidney injury, which refers to the deterioration of kidney functions for >3 months, or as stated in the medical records^Citation25
Hepatic impairment	Refers to alcoholic or nonalcoholic liver cirrhosis, drug-induced hepatotoxicity, chronic hepatitis, liver cancer, increase of serum liver enzymes more than three times the normal upper limits, or as stated in the medical records^Citation26

Classification and assessment of DRPs

DRPs were categorized using PCNE classification version 5.01. The version used has been validated, is adapted regularly, and is compatible with previous versions. This classification was the most suitable tool to match the study objective and methodology, and hence was used in this study to assess problems, causes, and interventions associated with DRPs. Basically there are six primary domains with 21 subdomains for problems, six primary domains with 33 subdomains for causes, and five primary domains with 17 subdomains for interventions.¹⁴ The classification is useful in research related to DRPs, as it acts as a process indicator in studies of pharmaceutical care outcomes. In this study, we screened data and information from patients’ medication records to identify DRPs and their possible causes. Other than that, by referring to standard guidelines and literature reviews, we assessed such DRPs as adverse reactions, drug-choice problems, dosing problems, drug-use problems, and possible drug interactions. The authors (clinical pharmacist and rheumatologist) were involved in the identification and classification of DRPs.

Updated Beers criteria

The 2015 American Geriatrics Society Beers criteria consist of lists of medications that are potentially inappropriate to be used among elderly patients. Lists of medications comprise drugs that should be avoided or have their dose adjusted in certain conditions, like kidney failure in geriatrics. In this study, the Beers criteria served as a tool to assess the appropriateness of medications used in RA patients for the items included under the domain of drug-choice problems in PCNE version 5.01.

Statistical techniques

All collected and extracted data were analyzed with SPSS version 23.0 (IBM, Armonk, NY, USA). For categorical data, nominal and ordinal data are expressed as frequency or percentage. Frequency tables were used to tabulate and present such data as demographic and clinical characteristics of RA patients, different types of DRPs, and causes of DRPs. Other than frequency tables, categorical data are presented as bar charts as well. Associations between two categorical variables, such as patients’ characteristics and occurrence of DRPs, are indicated by Pearson’s χ² test and logistic regression. Fisher’s exact test was used for a two-by-two table if expected counts were fewer than five. Statistical significance was assumed at P<0.05.

Results

Demographic characteristics

A total of 200 patients were enrolled in this study. There were 1,532 cases derived from patients, which comprised 361 admissions and 1,171 follow-ups to the hospital. As shown in Figure 2, the majority of the patients belonged to the age-group of 60–69 years. Ages of the study population ranged from 22 to 91 years, with the median age of 64 (IQR 15) years.

Figure 2 Age-groups of study population (years, n=200).

Table 2 shows the demographic characteristics of this study population. Nonelderly patients were present in an almost-equal proportion as elderly patients: only 4% greater. The number of female patients (86%) was five times higher than male patients (14%). Indian was the most popular ethnic group, making up 40.5% of the population, followed by Malay, Chinese, and others. For body-mass index, only 16.5% of the data were retrievable. Social history of smoking and alcohol were available in only 20% and 10% of the study population, respectively.

Table 2 Demographic characteristics of study population (n=200)

	Total, n (%) 200 (100%)	With DRP, n (%) 157 (78.5%)	No DRP, n (%) 43 (21.5%)
Age (years), mean ± SD	62.1±12.5	62.6±13.0	60.2±10.5
Population
Nonelderly	104 (52.0)	78 (49.7)	26 (60.5)
Elderly	96 (48.0)	79 (50.3)	17 (39.5)
Sex
Male	28 (14.0)	24 (15.3)	4 (9.3)
Female	172 (86.0)	133 (84.7)	39 (90.7)
Ethnicity
Malay	58 (29.0)	47 (29.9)	11 (25.6)
Chinese	57 (28.5)	48 (30.6)	9 (20.9)
Indian	81 (40.5)	58 (36.9)	23 (53.5)
Others	4 (2.0)	4 (2.5)	0
BMI
Underweight (<18.5)	0	0	0
Normal range (18.5–24.9)	14 (7.0)	14 (8.9)	0
Overweight (25.0–29.9)	9 (4.5)	7 (4.5)	2 (4.7)
Obese (≥30.0)	10 (5.0)	9 (9.7)	1 (2.3)
Unknown	167 (83.5)	127 (80.9)	40 (93.0)
Smoking
Nonsmoker	10 (5.0)	7 (4.5)	3 (7.0)
Smoker	8 (4.0)	6 (3.8)	2 (4.7)
Ex-smoker	2 (1.0)	2 (1.3)	0
Unknown	180 (90.0)	142 (90.4)	38 (88.4)
Alcohol
No	8 (4.0)	5 (3.2)	3 (7.0)
Yes	2 (1.0)	1 (0.6)	1 (2.3)
Ex-drinker	0	0	0
Unknown	190 (95.0)	151 (96.2)	39 (90.7)

Note: BMI = weight (kg)/(height [m] × height [m]).

Abbreviations: BMI, body mass index; DRP, drug-related problem.

Clinical characteristics

Around half the study population (51%) had RA for <10 years. Sjögren’s syndrome contributed to the highest percentage (10%) among RA complications, followed by lung fibrosis (5.5%). On average, each patient had 3.1±1.8 comorbidities, ranging from one to eight diseases. More than half the population (56.5%) had three or more comorbidities. Hyperlipidemia and hypertension were the top two comorbidities, found in 56% and 55% of patients, respectively. Approximately a third of the patients (33%) had comorbid type 2 diabetes mellitus, 27.5% suffered from osteoarthritis, and 25.5% had osteoporosis. Only 4% of the population had no comorbidities. Approximately two-thirds (64.5%) of patients were found to have polypharmacy, which involved 74% of the elderly population. The mean number of medications received by each patient was 5.5±2.3, ranging from 1 to 12 (Table 3).

Table 3 Clinical characteristics of study population (n=200)

	Total, n (%) 200 (100%)	With DRP, n (%) 157 (78.5%)	No DRP, n (%) 43 (21.5%)
Duration of RA
<10 years	102 (51.0)	77 (49.0)	25 (58.1)
≥10 years	82 (41.0)	67 (42.7)	15 (34.9)
Unknown	16 (8.0)	13 (8.3)	3 (7.0)
RA complications
Lung fibrosis	11 (5.5)	10 (6.4)	1 (2.3)
Sjögren’s syndrome	20 (10.0)	6 (3.8)	4 (9.3)
Leg abscess	2 (1.0)	2 (1.3)	0
Hallux valgus	2 (1.0)	2 (1.3)	0
Number of comorbidities
<3	87 (43.5)	58 (36.9)	29 (67.4)
≥3	113 (56.5)	99 (63.1)	14 (32.6)
Comorbidities
Hyperlipidemia	112 (56.0)	96 (61.1)	16 (37.2)
Hypertension	110 (55.0)	92 (58.6)	18 (41.8)
Type 2 diabetes	66 (33.0)	52 (33.1)	14 (32.5)
Osteoarthritis	55 (27.5)	49 (31.2)	6 (14.0)
Osteoporosis	51 (25.5)	46 (29.3)	5 (11.6)
Cardiovascular disease	33 (16.5)	28 (17.8)	5 (11.6)
Anemia	24 (12.0)	17 (10.8)	7 (16.3)
Asthma	23 (11.5)	17 (10.8)	6 (14.0)
Renal impairment	15 (7.5)	15 (9.6)	0
Hypothyroidism	14 (7.0)	10 (6.4)	4 (9.3)
Hepatic impairment	13 (6.5)	10 (6.4)	3 (7.0)
Psychological disorder	6 (3.0)	5 (3.2)	1 (2.3)
Cancer	6 (3.0)	3 (1.9)	3 (7.0)
Polypharmacy
Yes	129 (64.5)	110 (70.1)	19 (44.2)
No	71 (35.5)	47 (29.9)	24 (55.8)

Note: Patients may have had no or more than one RA complication or comorbidity.

Abbreviations: DRP, drug-related problem; RA, rheumatoid arthritis.

Medications used in study population

RA medications

In this study, csDMARD monotherapy was the most commonly prescribed for RA patients, which involved the single use of such csDMARDs as methotrexate (Mtx), sulfasalazine, hydroxychloroquine, or leflunomide. As shown in Figure 3, approximately 60% of the patient population received csDMARD monotherapy. Double-csDMARD therapy was used in around a quarter of the patients, followed by <10% of the population who received triple-csDMARD therapy. In contrast, the use of biologics and immunosuppressive drugs was less common, representing 1.0% and 0.5%, respectively.

Figure 3 Drug categories used in patients (n=200).

Abbreviations: bDMARD, biological disease-modifying antirheumatic drug; csDMARDs, conventional synthetic DMARDs.

Among DMARDs, Mtx was the most frequently prescribed. As shown in Table 4, 133 of the 200 patients (66.5%) received Mtx for RA treatment. The most common dose of Mtx was 7.5 mg per week (15%), followed by 10 mg per week (13%). Approximately a third of the patients (32.5%) were treated with sulfasalazine, and the most widely prescribed dose was 1,000 mg per day (14.5%). Hydroxychloroquine was more commonly used than leflunomide, with a difference of 17%. In terms of dosing, hydroxychloroquine 400 mg per day was among the most commonly prescribed dose compared to other dosing, comprising 19% of the patient population.

Table 4 DMARDs commonly used in RA patients (n=200)a

	Dose (mg)	Patients, n (%)
Methotrexateb n=133 (66.5%)	2.5	3 (1.5)
	5.0	5 (2.5)
	7.5	30 (15.0)
	10.0	26 (13.0)
	12.5	25 (12.5)
	15.0	25 (12.5)
	17.5	9 (4.5)
	20.0	9 (4.5)
	22.5	0
	25.0	1 (0.5)
Sulfasalazinec n=65 (32.5%)	500	7 (3.5)
	1,000	29 (14.5)
	2,000	23 (11.5)
	3,000	6 (3.0)
Hydroxychloroquinec n=58 (29.0%)	200	20 (10.0)
	400	38 (19.0)
Leflunomidec n=24 (12.0%)	20	24 (12.0)

Notes:

a Patients may have received more than one DMARD;

b dose received by patient per week;

c dose received by patient per day.

Abbreviations: DMARDs, disease-modifying antirheumatic drugs; RA, rheumatoid arthritis.

There were four drugs used as adjunctive therapy in the study population. About 50% of the population received prednisolone as an adjunct. Of the 99 patients who received prednisolone, 80% had been prescribed the drug at the most common dose of 5 mg per day. Among painkillers, NSAIDs were preferable to be prescribed (28.5%) compared to paracetamol and tramadol, with common use of celecoxib 200 mg per day.

Concurrent medications

Several classes of drugs were reported to be commonly used in the study population. Figure 4 reveals the top ten concurrent medications with the highest percentage frequency. Statins were the most frequently implicated drug class, and had been prescribed in >50% of the patients. Among statins, simvastatin 20 mg was the most common, as it had been used in approximately 82% of 109 patients who received statins as a lipid-lowering agent. Gastroprotective agents were prescribed in about a third (33.5%) of the study population, including 28% proton-pump inhibitors and 5.5% H₂ antagonists. The most common antidiabetic drug prescribed in the study was metformin, either as monotherapy or combination therapy, received by more than a quarter of the patients (26%).

Figure 4 Classes of concurrent medications (n=200).

Note: Patients may have had more than one concurrent medication.
Abbreviations: ARBs, angiotensin-receptor blockers; CCBs, calcium-channel blockers.

For antihypertensive agents, calcium-channel blockers were found to be most commonly prescribed, prescribed in approximately 30% of the study population. These were followed by angiotensin-converting enzyme inhibitors, β-blockers, diuretics and angiotensin-receptor blockers, while α-blockers, such as prazosin, were the least commonly prescribed antihypertensive agent, used by only 3% of the study population. Antibiotics were used in 10.5% of the patient population, with amoxicillin the most commonly prescribed, representing 75% of patients who received antibiotics.

Drug-related problems

A total of 289 DRPs were identified in the 200 patients. On average, each patient had 1.5±1.0 problems with 1.5±1.0 causes. The number of DRPs in the patients ranged from zero to five. A total of 157 patients (78.5%) were detected with at least one DRP. As shown in Figure 5, the top two domains of DRPs were adverse reactions (38.8%) and interactions (33.6%) in which both accounted for more than a third of the population. This was followed by drug-choice problems (14.5%), drug-use problems (7.6%) and dosing problems (3.8%). Other domains had the lowest incidence, making up only 1.7% of all DRPs.

Figure 5 Drug-related problems (n=289).

Adverse reactions

A total of 112 cases of adverse reactions were identified, including nonallergic, allergic, and toxic effects of drugs (Table 5). Most adverse reactions were associated with the use of DMARDs, especially Mtx. For nonallergic side effects, there were 19 cases reported with the use of Mtx that resulted in myelosuppression, including pancytopenia, bicytopenia, leukopenia, neutropenia, and thrombocytopenia. Gastrointestinal disturbances secondary to Mtx occurred in 17 patients, comprising nausea, vomiting, diarrhea, and epigastric pain. Elevated levels of liver enzymes associated with Mtx were reported as transaminitis in 14 cases, and hepatitis was experienced by six patients. There were seven cases of pneumonitis reported in patients receiving Mtx, and four patients developed lung fibrosis. Oral ulcers were also reported as side effects of Mtx in four cases. One patient complained of alopecia after receiving Mtx. Also, sulfasalazine caused neutropenia, nausea, vomiting, and diarrhea. Hydroxychloroquine was associated with blurred vision and maculopathy, whereas leflunomide was reported to cause cardiomyopathy in one case.

Table 5 Adverse reactions (n=289)

Code	Problem	n (%)
P1	Adverse reactions	112 (38.8)
P1.1	Side effect suffered (nonallergic)	96 (33.2)
P1.2	Side effect suffered (allergic)	15 (5.2)
P1.3	Toxic effect suffered	1 (0.3)

Note: Only problems with frequency of one or more were included.

For allergic side effects, rash attributed to the use of Mtx, sulfasalazine, leflunomide, and infliximab was reported in seven cases. Dermatitis due to Mtx, hydroxychloroquine, and adalimumab was also reported. There was one patient that suffered from acute generalized erythematous pustulosis caused by sulfasalazine. All adverse reactions were diagnosed by clinical suspicion and interpreted from clinical findings and history. As such, associations between drugs and adverse reactions could not be completely verified.

Drug-choice problems

As shown in Table 6, inappropriate drug choice and untreated indications were the two most commonly detected drug-choice problems. There were 25 cases where no drugs were given, despite clear indications. For instance, hyperlipidemia was left untreated in eleven cases, persistently high blood pressure in seven, and four cases showed no treatment was given for symptomatic anemia.

Table 6 Drug-choice problems (n=289)

Code	Problem	n (%)
P2	Drug-choice	42 (14.5)
P2.1	Inappropriate drug	12 (4.2)
P2.3	Inappropriate duplication of therapeutic group or active ingredient	2 (0.7)
P2.4	Contraindication for drug	3 (1.0)
P2.6	No drug prescribed, but clear indication	25 (8.7)

Note: Only problems with frequency of one or more were included.

According to updated Beers criteria, several drugs prescribed for elderly patients were considered inappropriate and high risk in this study, which accounted for most of the problems of inappropriate drug choice identified, including diphenhydramine (four cases), chlorpheniramine (two cases), ticlopidine (three cases), amitriptyline (two cases), and nifedipine (one case). There was also one case where NSAIDs were prescribed in an elderly patient with chronic kidney disease (CKD). There were three cases associated with the use of contraindicated drugs. For example, Mtx was prescribed for a patient despite poor renal function, indicated by low creatinine clearance, which was <20 mL/min. Inappropriate duplication of drugs was detected in two cases, involving the concurrent use of two NSAIDs: celecoxib and diclofenac.

Dosing problems

Among the eleven cases of dosing problems, there were eight identified with medication overdoses (Table 7). Drugs involved were simvastatin (two cases), ranitidine (two cases), and cotrimoxazole (one case). Prescription of drugs at excessive doses was most commonly detected in patients with existing renal impairment, comprising >90% of cases. Also, RA medications, such as hydroxychloroquine, were associated with two cases of overdose, which exceeded the maximum dose of 6.5 mg/kg per day. There was one case where Mtx was prescribed with an initial dose of 20 mg instead of 7.5 mg.

Table 7 Dosing problems (n=289)

Code	Problem	n (%)
P3	Dosing	11 (3.8)
P3.1	Drug dose too low or dosage regime not frequent enough	2 (0.7)
P3.2	Drug dose too high or dosage regime too frequent	8 (2.8)
P3.3	Duration of treatment too short	1 (0.3)

Note: Only problems with frequency of one or more were included.

Drug-use problems

There were 22 cases of drug-use problems detected, and all were recorded in the patients’ medical records as drugs having not been taken or administered at all (Table 8). Mtx was implicated in 50% of all drug-use problems, followed by sulfasalazine (three cases), hydroxychloroquine (two cases), and leflunomide (one case). Noncompliance with other medications was also reported, including statins, antihypertensive agents, antidiabetic drugs, and alendronate.

Table 8 Drug-use problems (n=289)

Code	Problem	n (%)
P4	Drug use	22 (7.6)
P4.1	Drug not taken/administered at all	22 (7.6)

Note: Only problems with frequency of one or more were included.

Drug interactions

About a third of all DRPs identified were related to drug interactions (Table 9). Approximately 70% of cases of drug interaction involved DMARDs used in RA treatment, such as Mtx and sulfasalazine. The concurrent use of prednisolone and simvastatin posed a significant potential drug interaction in 39 cases. As shown in Figure 6, the drug most implicated in drug interactions was Mtx (89 cases), which interacted with omeprazole (34 cases), diclofenac (31 cases), aspirin (12 cases), amoxicillin (11 cases), and hydrochlorothiazide (1 case). This was followed by sulfasalazine, involved in 17 cases. In addition, there were 2 cases in which patients were prescribed simvastatin at >20 mg while receiving amlodipine.

Figure 6 Drug pairs associated with drug interactions (n=97).

Note: A drug-related problem identified may have involved more than one pair of drug interactions.

Table 9 Drug interactions (n=289)

Code	Problem	n (%)
P5	Interactions	97 (33.6)
P5.1	Potential interaction	96 (33.2)
P5.2	Manifest interaction	1 (0.3)

Note: Only problems with frequency of one or more were included.

Other problems

Among all 289 DRPs identified in this study, 1.7% were problems that could not be classified under any domain, which were regarded as “others” (Table 10). A total of five cases were associated with insufficient awareness of health and diseases, possibly leading to future problems. For instance, some patients had a lack of knowledge on RA, which made them unaware of the importance of treatment, resulting in defaults on follow-up. There was one patient who was reported with chronic use of diclofenac, in which the drug was taken daily even when they did not feel any pain, instead of being used when necessary.

Table 10 Other problems (n=289)

Code	Problem	n (%)
P6	Others	5 (1.7)
P6.2	Insufficient awareness of health and diseases	5 (1.7)
	(possibly leading to future problems)

Note: Only problems with frequency of one or more were included.

Causes of DRPs

Table 11 shows a total of 289 causes for DRPs. Among all the six domains of causes, “others” and “drug or dose selection” were found to be the two most common, which comprised 47.1% and 43.3%, respectively, followed by “patient or psychological” (8.3%). For subtypes, the three most common causes were “no obvious cause” under the domain of “others”, “manifest side effect with no other causes”, and “inappropriate drug selection”, both under the domain of “drug or dose selection”.

Table 11 Causes of drug-related problems (n=289)

Code	Cause	n (%)
C1	Drug/dose selection	125 (43.4)
C1.1	Inappropriate drug selection	8 (2.8)
C1.2	Inappropriate dosage selection	7 (2.4)
C1.5	Synergistic/preventive drug required and not given	3 (1.0)
C1.6	Deterioration/improvement of disease state	1 (0.3)
C1.8	Manifest side effect, no other cause	106 (36.7)
C2	Drug-use process	3 (1.0)
C2.2	Drug underused/underadministered	1 (0.3)
C2.3	Drug overused/overadministered	2 (0.7)
C3	Information	1 (0.3)
C3.1	Instructions for use/taking not known	1 (0.3)
C4	Patient/psychological	24 (8.3)
C4.1	Patient forgets to use/take drug	7 (2.4)
C4.2	Patient has concerns with drugs	6 (2.1)
C4.3	Patient suspects side effect	7 (2.4)
C4.4	Patient unwilling to carry financial costs	2 (0.7)
C4.6	Patient unwilling to change drugs	1 (0.3)
C4.10	Patient takes food that interacts with drugs	1 (0.3)
C6	Others	136 (47.1)
C6.1	Other cause	2 (0.7)
C6.2	No obvious cause	134 (46.4)

Note: Only causes with frequency of one or more were included.

Factors associated with DRPs

Table 12 shows the parameters that were significantly associated with the occurrence of DRPs in patients with RA. Polypharmacy (P=0.005) and multiple comorbidities (P=0.001) appeared to have significant associations with the occurrence of DRPs. Apart from that, several concurrent chronic diseases, such as hyperlipidemia (P=0.009), osteoarthritis (P=0.040), and renal impairment (P=0.044), were associated significantly with the DRPs identified. On the other hand, factors that had no significant association with the occurrence of DRPs included RA complications such as lung fibrosis and Sjögren’s syndrome and comorbidities such as hypertension, type 2 diabetes mellitus, cardiovascular diseases, and hepatic impairment.

Table 12 Factors associated with the occurrence of drug-related problems (n=200)

	Drug-related problems (n=200)
	ORc (95% CI)	P-value
Elderly	1.549 (0.779–3.078)	0.279a
Polypharmacy	2.956 (1.480–5.906)	0.003a,*
Multiple comorbidities (≥3)	3.536 (1.729–7.231)	0.001a,*
Hyperlipidemia	2.656 (1.323–5.330)	0.009a,*
Hypertension	1.966 (0.992–3.896)	0.075a
Type 2 diabetes mellitus	1.026 (0.500–2.106)	>0.999a
Osteoarthritis	2.798 (1.108–7.056)	0.040a,*
Cardiovascular disease	2.303 (0.764–6.942)	0.170b
Renal impairment	–	0.044b,*
Hepatic impairment	0.907 (0.238–3.453)	>0.999b

Notes:

* P<0.05;

a computed using continuity correction;

b computed using Fisher’s exact test;

c logistic regression is not applicable for variables with small or empty cells.

Tables 13–15 tabulate the associations between different factors and the six domains of DRPs. It was found that there were significant associations between the occurrence of adverse drug reactions and such parameters as multiple comorbidities (P=0.038) and renal impairment (P=0.022). There was only one factor – renal impairment (P=0.027) – associated significantly with drug-choice problems. Patients with type 2 diabetes mellitus (P=0.017) were more susceptible to the occurrence of dosing problems. There were five factors were found to be significantly associated with drug-use problems, including polypharmacy (P=0.027), multiple comorbidities (P=0.035), hypertension (P=0.011), and type 2 diabetes mellitus. For drug interactions, factors that had significant associations with DRPs were elderly (P=0.049), polypharmacy (P<0.001), multiple comorbidities (P<0.001), hyperlipidemia (P=0.020), hypertension (P<0.001), and osteoarthritis (P=0.013). Only type 2 diabetes mellitus was significantly associated with “other” problems.

Table 13 Factors associated with adverse reactions and drug-choice problems

	Adverse reactions (n=112), n (%)				Drug-choice problems (n=42), n (%)
	Yes	No	ORc (95% CI)	P-value	Yes	No	ORc (95% CI)	P-value
Elderly
Yes	49 (43.8%)	47 (53.4%)	0.678 (0.387–1.189)	0.224a	23 (54.8%)	73 (46.2%)	1.410 (0.712–2.792)	0.416a
No	63 (56.3%)	41 (46.6%)			19 (45.2%)	85 (53.8%)
Polypharmacy
Yes	76 (67.9%)	53 (60.2%)	1.394 (0.778–2.497)	0.332a	23 (54.8%)	106 (67.1%)	0.594 (0.297–1.187)	0.193a
No	36 (32.1%)	35 (39.8%)			19 (45.2%)	52 (32.9%)
Multiple comorbidities
Yes	71 (63.4%)	42 (47.7%)	1.897 (1.075–3.347)	0.038a,*	28 (66.7%)	85 (53.8%)	1.718 (0.841–3.507)	0.187a
No	41 (36.6%)	46 (52.3%)			14 (33.3%)	73 (46.2%)
Hyperlipidemia
Yes	63 (56.3%)	46 (55.7%)	1.023 (0.583–1.796)	1a	26 (61.9%)	86 (54.4%)	1.360 (0.678–2.732)	0.489a
No	49 (43.8%)	39 (44.3%)			16 (38.1%)	72 (45.6%)
Hypertension
Yes	62 (55.4%)	48 (54.5%)	1.033 (0.590–1.811)	1a	26 (61.9%)	84 (53.2%)	1.432 (0.713–2.873)	0.402a
No	50 (44.6%)	40 (45.5%)			16 (38.1%)	74 (46.8%)
Type 2 diabetes mellitus
Yes	39 (34.8%)	27 (30.7%)	1.207 (0.664–2.193)	0.641a	14 (33.3%)	52 (32.9%)	1.019 (0.495–2.099)	1a
No	73 (65.2%)	61 (69.3%)			28 (66.7%)	106 (67.1%)
Osteoarthritis
Yes	36 (32.1%)	19 (21.6%)	1.720 (0.903–3.276)	0.134a	14 (33.3%)	41 (25.9%)	1.427 (0.685–2.971)	0.448a
No	76 (67.9%)	69 (78.4%)			28 (66.7%)	117 (71.4%)
Cardiovascular disease
Yes	21 (18.8%)	13 (14.8%)	1.331 (0.625–2.836)	0.580a	7 (16.7%)	27 (17.1%)	0.970 (0.390–2.413)	1a
No	91 (81.2%)	75 (85.2%)			35 (83.3%)	131 (82.9%)
Renal impairment
Yes	14 (12.5%)	1 (1.1%)	12.429 (1.601–96.466)	0.002b,*	7 (16.7%)	8 (5.1%)	3.750 (1.275–11.032)	0.027a,*
No	98 (87.5%)	87 (98.9%)			35 (83.3%)	150 (94.9%)
Hepatic impairment
Yes	9 (8.0%)	4 (4.5%)	1.835 (0.546–6.169)	0.395a	4 (9.5%)	9 (5.7%)	1.743 (0.509–0.965)	0.487b
No	103 (92.0%)	84 (95.5%)			38 (90.5%)	149 (94.3%)

Notes:

* P<0.05;

a computed using continuity correction;

b computed using Fisher’s exact test;

c logistic regression is not applicable for variables with small or empty cells.

Table 14 Factors associated with dosing problems and drug-use problems

	Dosing problems (n=11), n (%)				Drug-use problems (n=22), n (%)
	Yes	No	OR (95% CI)c	P-value	Yes	No	ORc (95% CI)	P-value
Elderly
Yes	6 (54.5%)	90 (47.6%)	1.320 (0.389–4.474)	0.891a	11 (50.0%)	85 (47.8%)	1.094 (0.451–2.654)	1a
No	5 (45.5%)	99 (52.4%)			11 (50.0%)	93 (52.2%)
Polypharmacy
Yes	9 (81.8%)	120 (63.5%)	2.588 (0.543–12.320)	0.334b	9 (40.9%)	120 (67.4%)	0.335 (0.135–0.828)	0.027a,*
No	2 (18.2%)	69 (36.5%)			13 (59.1%)	58 (32.6%)
Multiple comorbidities
Yes	5 (45.5%)	108 (57.1%)	0.625 (0.184–2.120)	0.655a	7 (31.8%)	106 (59.6%)	0.317 (0.123–0.816)	0.035a,*
No	6 (54.5%)	81 (42.9%)			15 (68.2%)	72 (40.4%)
Hyperlipidemia
Yes	8 (72.7%)	104 (55.0%)	2.179 (0.561–8.470)	0.353b	14 (63.6%)	98 (55.1%)	1.429 (0.571–3.576)	0.591a
No	3 (27.3%)	85 (45.0%)			8 (36.4%)	80 (44.9%)
Hypertension
Yes	6 (54.5%)	104 (55.0%)	0.981 (0.289–3.325)	1a	6 (27.3%)	104 (58.4%)	0.267 (0.100–0.714)	0.011a,*
No	5 (45.5%)	85 (45.0%)			16 (72.7%)	74 (41.6%)
Type 2 diabetes mellitus
Yes	0	66 (34.9%)	–	0.017b,*	2 (9.1%)	64 (36.0%)	0.178 (0.040–0.787)	0.014b,*
No	11 (100.0%)	123 (65.1%)			20 (90.9%)	114 (64.0%)
Osteoarthritis
Yes	2 (18.2%)	53 (28.0%)	0.570 (0.119–2.726)	0.731b	7 (31.8%)	48 (27.0%)	1.264 (0.486–3.289)	0.820a
No	9 (81.8%)	136 (78.0%)			15 (68.2%)	130 (73.0%)
Cardiovascular disease
Yes	2 (18.2%)	32 (16.9%)	1.090 (0.225–5.286)	1b	4 (18.2%)	30 (16.9%)	1.096 (0.346–3.470)	0.772b
No	9 (81.8%)	157 (83.1%)			18 (81.8%)	148 (83.1%)
Renal impairment
Yes	1 (9.1%)	14 (7.4%)	1.250 (0.149–10.482)	0.586b	2 (9.1%)	13 (7.3%)	1.269 (0.267–6.036)	0.673b
No	10 (90.9%)	175 (92.6%)			20 (90.9%)	165 (92.7%)
Hepatic impairment
Yes	1 (9.1%)	12 (6.3%)	1.475 (0.174–12.501)	0.532b	0	13 (7.3%)	–	0.368b
No	10 (90.9%)	117 (93.7%)			22 (100.0%)	165 (92.7%)

Notes:

* P<0.05;

a computed using continuity correction;

b computed using Fisher’s exact test;

c logistic regression is not applicable for variables with small or empty cells.

Table 15 Factors associated with drug interactions and other problems

	Drug interactions (n=97), n (%)				Other problems (n=5), n (%)
	Yes	No	OR (95% CI)c	P-value	Yes	No	OR (95% CI)c	P-value
Elderly
Yes	54 (55.7%)	42 (40.8%)	1.821 (1.041–3.197)	0.049a,*	3 (60.0%)	93 (47.7%)	1.645 (0.269–10.064)	0.673b
No	43 (44.3%)	61 (59.2%)			2 (40.0%)	102 (52.3%)
Polypharmacy
Yes	85 (87.6%)	44 (42.7%)	9.498 (4.625–19.504)	<0.001a,*	4 (80.0%)	125 (64.1%)	2.240 (0.246–20.435)	0.657b
No	12 (12.4%)	59 (57.3%)			1 (20.0%)	70 (35.9%)
Multiple comorbidities
Yes	69 (71.1%)	44 (42.7%)	3.304 (1.836–5.974)	<0.001a,*	2 (40.0%)	111 (56.9%)	0.505 (0.082–3.087)	0.655b
No	28 (28.9%)	59 (57.3%)			3 (60.0%)	84 (43.1%)
Hyperlipidemia
Yes	63 (64.9%)	49 (46.7%)	2.042 (1.156–3.606)	0.020a,*	4 (80.0%)	108 (55.4%)	3.222 (0.354–29.356)	0.387b
No	34 (35.1%)	54 (52.4%)			1 (20.0%)	87 (44.6%)
Hypertension
Yes	68 (70.1%)	42 (40.8%)	3.406 (1.859–6.119)	<0.001a,*	3 (60.0%)	107 (54.9%)	1.234 (0.202–7.548)	1b
No	29 (29.9%)	61 (59.2%)			2 (40.0%)	88 (45.1%)
Type 2 diabetes mellitus
Yes	35 (36.1%)	31 (30.1%)	1.311 (0.726–2.367)	0.454a	4 (80.0%)	62 (31.8%)	8.581 (0.939–78.370)	0.042b,*
No	62 (63.9%)	72 (69.9%)			1 (20.0%)	133 (68.2%)
Osteoarthritis
Yes	35 (36.1%)	20 (19.4%)	2.343 (1.235–4.445)	0.013a,*	2 (40.0%)	53 (27.2%)	1.786 (0.290–10.989)	0.617b
No	62 (63.9%)	83 (80.6%)			3 (60.0%)	142 (72.8%)
Cardiovascular disease
Yes	22 (22.7%)	12 (11.7%)	2.224 (1.033–4.790)	0.059a	0	34 (17.4%)	–	0.591b
No	75 (77.3%)	91 (88.3%)			5 (100.0%)	161 (82.6%)
Renal impairment
Yes	11 (11.3%)	4 (3.9%)	3.166 (0.972–10.305)	0.060b	0	15 (2.7%)	–	1b
No	86 (88.7%)	99 (96.1%)			5 (100.0%)	180 (97.3%)
Hepatic impairment
Yes	3 (3.1%)	10 (9.7%)	0.297 (0.079–1.113)	0.084b	0	13 (6.7%)	–	1b
No	94 (96.9%)	93 (90.3%)			5 (100.0%)	182 (93.3%)

Notes:

* P<0.05;

a computed using continuity correction;

b computed using Fisher’s exact test;

c logistic regression is not applicable for variables with small or empty cells.

Discussion

In this study, the median age of the patient population was 64 years, ranging from 22 to 91 years. This was comparable with a cohort study, which reported on RA patients aged 18–89 years, with a median age of 58 years.²⁷ The slight difference in age reported between the studies was probably due to different sample sizes, which was not representative of all the population. The sex ratio was found to be 6:1 for females:males in this study. According to a study conducted in Romania, the female:male ratio in RA patients was approximately 5:1,²⁸ while another study reported a sex ratio of 2:1.²⁹ The higher number of female RA patients could be explained by the fact that women produce a more robust immunoresponse to infection, which may be responsible for the higher risk of developing autoimmune diseases.³⁰

This study demonstrated that Sjögren’s syndrome was the most common complication, affecting 10% of the patient population. This finding was consistent with other studies, which reported that the percentage of RA patients who fulfilled the criteria of Sjögren’s syndrome ranged from 4% to 31%.^31,32 Hyperlipidemia (56%), hypertension (55%), and type 2 diabetes mellitus (33%) were the three most prevalent comorbidities in this study population. This was similar to a study conducted by the South Korean government that revealed that the most frequently associated comorbidities in RA were hypertension (30.3%), osteoarthritis (22.6%), and hyperlipidemia (11.1%).¹² Polypharmacy is common among people with RA, and is associated with older age and longer RA duration through a greater number of comorbidities.³³ Polypharmacy cases found in this study amounted to 64.5%, which was in accordance with a study that found five as the mean number of medications in RA patients.³⁴

Drug-related problems

This is the first study to investigate DRPs among patients with RA. A total of 289 DRPs were identified, with an average of 1.5±1.0 problems per patient. A study conducted in Norway yielded 6,158 DRPs detected among 2,465 elderly patients after medication review, with an average of 2.6 DRPs per patient.³⁵ Another recent study related to DRPs in erectile dysfunction patients identified 244 DRPs in 200 patients, with an average of 1.2±2.1 DRPs in each patient.¹⁷ Discrepancies between these studies can be due to several factors, such as different interpretations of the problems by researchers, study design, and settings.

In this study, the most frequently encountered DRPs were adverse reactions and drug interactions. Likewise, the study conducted by Ernst et al in patients with musculoskeletal disorder comprising 93 RA patients reported that adverse reactions and need of additional therapy were the two most commonly identified DRPs.¹⁵ However, discrepancies might occur due to different health care settings and study populations, leading to differential classification of DRPs.

Adverse reactions

Adverse reactions were the most frequently detected DRPs in this study. Among patients receiving Mtx, approximately 58% suffered from side effects of the drug. The prevalence of side effects caused by Mtx in this study was greater than that from a study conducted in the Saudi population, which demonstrated that 32.8% of patients using Mtx experienced at least one adverse event that was preventable.³⁵ Hematological side effects were the most prominent in this study, comprising approximately 14% of all Mtx users. This percentage was slightly higher than another study that found 11.8% of patients receiving Mtx to be affected.³⁶ Gastrointestinal disturbances were also reported as side effects of Mtx, with R12.8% of patients reporting it. Different studies have had different results on this finding, ranging from 7.0%³⁷ to 52.5%.³⁵ Most cases of hepatic side effects with Mtx in this study involved elevated levels of liver enzymes, found in 10.5% of the patients. This was similar to the results of a study that revealed that incidence of adverse liver events was 11.2% in Mtx-treated patients.³⁸

Besides Mtx, other DMARDs, including sulfasalazine, hydroxychloroquine, and leflunomide, shared many of the same potential toxicities as those of Mtx, including cytopenia and hepatotoxicity.^39,40 However, in this study, side effects reported with the use of sulfasalazine, hydroxychloroquine, and leflunomide were less common, making up only about 20% of all the adverse reactions reported. A previous study revealed concerns with combination Mtx–leflunomide therapy, which may cause potentially life-threatening side effects, particularly hepatotoxicity and leucopaenia.⁴¹ However, the adverse effects reported among the studies have not been consistent, as it has been demonstrated that the majority of the side effects seemed to be minor in another study.⁴²

Although most patients tolerate Mtx well, monitoring is essential to prevent side effects. ACR guidelines call for monitoring of liver enzymes and blood counts at least every 3 months.⁴³ Monitoring frequency can be reduced afterward based on clinical judgment, with consideration of such risk factors as age, comorbidity, and renal impairment.

Drug-choice problems

Untreated indications comprised 8.7% of DRPs in this study. This was less than that of a study conducted among Taiwanese older adults, which showed that the proportion of untreated indications was 16%–18%.⁴⁴ The majority of the cases were correlated with untreated hyperlipidemia, followed by anemia and hypertension. This was found to be consistent with a study conducted in Japan, which reported that the percentage of untreated hypertension was significantly lower than the percentage of unattended hypercholesterolemia.⁴⁵

In this study, most problems of inappropriate use of drugs were described in updated Beers criteria.⁴⁶ Inappropriate drugs were detected in 4.2% of cases, a number that was close to that of an Indian study.⁴⁷ However, the result was not in concordance with a study that demonstrated inappropriate drug choice contributed to 8.2% of all DRPs.⁴⁸ Despite the overall result showing low incidence of drug-choice problems, the need to review medications prescribed to patients is crucial to reduce the risk of inappropriate use so that patients can receive the most suitable drugs, which are safer.

Dosing problems

Hydroxychloroquine overdose was detected in two cases in this study. The common threshold of 6.5 mg/kg/day has been published as the upper limit of safe dosing for hydroxychloroquine.⁴⁹ In this study, there was one case in which the dose of hydroxychloroquine prescribed was 400 mg twice per day in a patient weighing 44 kg. There is a higher risk of retinopathy developing in patients receiving hydroxychloroquine at >6.5 mg/kg/day, due to toxicity.⁵⁰

In usual conditions, Mtx will be initiated at a dose of 7.5–10 mg per week, and this can be increased to a maximum 25 mg per week.⁵¹ The low initial dose aims to manage intolerance to oral Mtx and improve adherence to therapy.⁵² However, in this study, there was one case where Mtx was started at 20 mg per week and discontinued later, due to the occurrence of side effects. In clinical practice, step-up strategy is usually applied, where the Mtx dose is increased stepwise, starting at a low and often ineffective dose, and increasing the dose until the treatment target is reached.⁵³ However, a study has indicated that there was no difference in the tolerability of Mtx-naïve RA patients when comparing two doses of Mtx: 15 and 25 mg per week.⁵⁴ Discrepancies among the studies reveal that different patients might benefit from different dosing for optimal disease control. There is no guidance on the optimal initiation and maintenance dose of Mtx for individual patients.⁵¹ Therefore, further studies are encouraged to explore the optimization of Mtx dosing.

Drug-use problems

In this study, 7.6% of cases reported drug-use problems, where patients were not compliant to their medications. The majority of the drug-use problems involved RA medications. However, compliance status in this study was not in accordance with that reported in other studies. Muller et al reported that the compliance rate in RA patients was 80%, indicating the noncompliance rate was much greater compared to that in this study.⁵⁵ Forgetfulness and fear of side effects were found to be the common reasons for noncompliance with RA medications, especially Mtx, which was administered on a weekly basis.⁵⁶ Other factors included concern about cost, particularly with leflunomide.⁵⁷ Therefore, reasons for patients’ noncompliance should be taken into consideration before further action on the drug regimen. Unrecorded information regarding patients’ compliance in the medical records in this study may have led to discrepancies in the reported prevalence between studies. This could have led to underestimation of DRPs.

Drug interactions

Approximately a third (33.6%) of the DRPs identified in this study were drug interactions. This result was comparable with a study that revealed that drug–drug interactions were a common cause of medication error, with a prevalence of 20%–40%, particularly in the elderly, due to polypharmacy.⁵⁸ The majority of potential drug interactions found in this study involved Mtx. This result represented a limiting factor for the use of Mtx during the clinical management of RA, despite its good safety profile, especially when several drugs are coadministered to treat the disease.⁵⁹

Among the drugs interacting with Mtx, omeprazole was found to be the major representative of potential drug interactions identified in this study, with 40.2% of cases, followed by diclofenac sodium (32%). Likewise, a study demonstrated that the interaction between Mtx and omeprazole was the most common (29.3%), with diclofenac sodium next (17.6%).⁶⁰ The interaction was attributed to the delay of renal clearance of Mtx when it was coadministered with proton-pump inhibitors or NSAIDs, thus potentiating its adverse effects.⁶¹ The association of Mtx and NSAIDs can cause several complications, such as severe hematologic and gastrointestinal toxicity.⁶¹ Therefore, patients who receive combinations of drugs concurrently should be strictly monitored to avoid complications or side effects due to possible relatively high concentration of Mtx.

The clinical significance of these interactions has not been substantiated by extensive clinical observations. After assessment of benefits and risks, combinations of offending drugs will still be used in certain hospital settings, depending on their prescription policies. Therefore, frequent monitoring should be conducted to minimize adverse effects secondary to drug–drug interactions.

Other problems

Other problems contributed in the least proportion to DRPs, with all cases identified under insufficient awareness of health and diseases possibly leading to future problems. In this study, there were only five cases where patients had inadequate awareness on RA. This was consistent with a study that showed a majority of RA patients were aware of the occurrence of adverse drug reactions caused by Mtx.⁶² To raise awareness on RA, there was a Rheumatoid Awareness Day held annually on February 2, giving RA patients a day of recognition with the aim of educating about rheumatoid disease.⁶³ In this study, however, awareness of the patients might have been overestimated, as patient feedback was not recorded in the medical notes in all.

Causes of DRPs

The most prevalent cause of DRPs in this study appeared to be “others”, followed by “drug or dose selection”. When matching causes to problems, most drug interactions were classified into no obvious cause (C6.2) under the domain of “others”. For the domain of drug or dose selection, manifestation of side effects with no other cause (C1.8) was most frequently associated with such DRPs as adverse reactions of drugs, while the subtypes of inappropriate drug and dose selection (C1.1 and C1.2) were also used to explain DRPs like adverse reactions and drug-choice problems. The assignment of causes to each DRP was based on the researchers’ own judgment or information obtained from the medical records, which can lead to difficulties in assessing the causes of DRPs, as some possible causes of DRPs may not be retrievable from medical records.

Factors associated with DRPs

Elderly

In this study, being elderly was not found to be significantly associated with DRPs. This finding was not consistent with several studies suggesting that the prevalence of DRPs is high in the elderly population, as risk increases with age, especially when polypharmacy was one of the risk factors.^48,64,65 However, findings on the association between age and DRPs are conflicting. There was a local study that had similar finding to this study, demonstrating that the association between being elderly and DRPs was not significant.¹⁹ Also, Koh et al reported that being elderly did not result in a higher risk of experiencing adverse drug reactions or DRPs.⁶⁶ Discrepancies among the studies suggest further studies need to be carried out to investigate the association between being elderly and the occurrence of DRPs.

Multiple comorbidities

The prevalence of multimorbidity has been found to be 65%–80% in elderly populations.⁶⁷ In correspondence with other studies, patients who possessed comorbid diseases had a higher risk of encountering DRPs.⁶⁸ Adverse reactions, drug-use problems, and drug interactions were shown to be significantly associated with DRPs in this study, which is supported by a few others.^69,70 Comparable with another study, patients with comorbidity were three times more susceptible to adverse drug reactions than those without comorbidity.⁷¹ The high incidence of adverse drug reactions can be explained by the established fact that elderly people are often frail and highly sensitive to pharmacotherapy, due to changes in pharmacokinetic and pharmacodynamic parameters and also impairment in many organ functions.⁷¹ Since it is inevitable that the majority of elderly patients present with multiple comorbid diseases, it is important to have medication reconciliation in all health care settings to avoid medication errors, including inappropriate prescriptions, dosing errors, and drug–drug interactions.

Polypharmacy

The issue of polypharmacy is a prevalent concern associated with DRPs in the elderly, resulting from multiple comorbidities that require chronic medical therapies.^48,72,73 As such, it was not surprising that polypharmacy was found to be significantly associated with the occurrence of DRPs in this study. In agreement with a few studies, it was strongly supported that an increase in medications prescribed posed an elevated risk of medication errors, which in turn lead to DRPs.⁷⁴ Strong associations between polypharmacy and drug-use problems was supported by a study that reported that polypharmacy influenced medication adherence negatively, with high noncompliance status, which was increased with the number of medication prescribed.²⁴ High incidence of drug-use problems could be justified by the complexity of drug regimens in polypharmacy and cognitive impairment of the elderly.⁷⁵ Therefore, pharmacists play an important role in the optimization of drug treatment for the patient’s benefit. More efforts should be put into medication review to minimize polydrug therapy whenever possible to reduce the risk of DRPs.

Osteoarthritis

In this study, osteoarthritis was found to have significant association with DRPs. Across the problem domains, RA patients with comorbid osteoarthritis were more prone to acquire drug interactions. This finding corresponds to a study that demonstrated that the risk of drug interactions was high in osteoarthritis patients, with a few clinically significant interactions that prompted a recommendation for avoidance.⁷⁶ NSAIDs were commonly used by older patients with osteoarthritis, but were associated with many adverse events, resulting in negative likelihood of NSAID continuation in osteoarthritis patients.^77,78 However, this is not comparable with the findings in this study, which revealed that osteoarthritis was significantly associated only with drug interactions, whereas correlation with other problem domains like adverse reactions was not detected. The discrepancies are most probably due to the small sample, involving a limited number of patients with osteoarthritis among RA patients.

Hypertension

Studies have demonstrated that patients with hypertension are associated with higher risk of DRPs.^79,80 However, findings from the literature review were in contradiction to those in this study. Hypertension was not significantly associated with DRPs, but showed strong correlation with drug interactions and drug-use problems in term of problem domains. The high risk of drug interaction could be explained by the use of antihypertensive drugs, particularly calcium-channel blockers, which commonly interact with α-blockers and statins.⁸¹ This result was not consistent with that of research done in east Ethiopia, which stated drug interactions in hypertension patients were most commonly caused by angiotensin-converting enzyme inhibitors.⁸² This difference may be due to the variation in commonly prescribed medications in the two countries.

Type 2 diabetes mellitus

In the present study, patients with type 2 diabetes mellitus were found to be at lower risk of having DRPs. This result was not consistent with the findings of other studies, which revealed a higher risk of DRPs in patients with diabetes.⁷⁹ Likewise, two local studies done on DRPs in patients with diabetes mellitus also demonstrated that 90.5% and 91.8% of patients had at least one DRP.^19,83 This conflict with other studies may be due to the limited sample size of diabetic patients in this study, which was not representative of all the population.

Renal impairment

Renal impairment was found to be significantly associated with the occurrence of DRPs in this study. Consistently, a study conducted in Canada revealed that DRPs are prevalent among CKD patients.⁸⁴ Among the six domains of DRPs, adverse reactions and drug-choice problems were found to be significantly associated with DRPs in the present study. This result was in line with an Indonesian study that demonstrated that treatment-effectiveness and adverse-reaction domains contributed to the majority of DRPs in CKD patients.⁸⁵ Therefore, identification and prevention of DRPs are vital measures, in order to improve clinical outcomes in CKD patients who are prone to encounter DRPs.

Limitations of the study

There is a risk of bias attributed to the retrospective nature of this study, because the assessment of DRPs was dependent solely on patients’ clinical records as the source of data. This may have caused an underestimation of prevalence of some important data, including physicians’ and patients’ perceptions, which could not be retrieved from the medical records. Adverse reactions were diagnosed mainly by clinical suspicion and interpreted from clinical findings and history. As such, the association between the drugs and adverse reactions could not be completely verified.

Conclusion

Among all the RA medications, Mtx was the most commonly used as first-line treatment. csDMARD monotherapy was the most frequently prescribed compared to double- and triple-DMARD therapy. Biological DMARDs were rarely used, as they were prescribed only when csDMARDs had failed or patients were intolerant to csDMARDs. Concurrent medications that were most frequently implicated in this study were statins, which corresponded with hyperlipidemia as the most common comorbidity. The most commonly identified DRPs were adverse reactions, drug interactions, and drug-choice problems. On the other hand, several factors were found to be significantly associated with the occurrence of DRPs, including polypharmacy, multiple comorbidities, hyperlipidemia, osteoarthritis, and renal impairment. Therefore, early identification of the types and patterns of DRPs, as well as the factors associated with them, is important to enhance the prevention and management of DRPs in RA patients.

Acknowledgments

The authors would like to thank the University of Malaya, Malaysia, and University of Malaya Medical Center for technical support.

Disclosure

The authors report no conflicts of interest in this work.