Introduction:
Saudi Arabia has several hypertensive patients who require close attention and specialised care for their medications. Polypharmacy is one of the reasons for the failure of patient compliance with antihypertensive medications. Therefore, this study aims to gain a better perspective on polypharmacy in hypertensive patients attending primary healthcare (PHC) centres in Makkah, Saudi Arabia.
Methods:
This was an observational, cross-sectional, descriptive study of hypertensive patients followed up at 10 PHC centres in Makkah, Saudi Arabia, from 1 July 2019 to 30 June 2022. Frequencies and percentages were used to present categorical data, and Pearson’s χ 2 test was used to measure differences. A P value less than 0.05 was considered statistically significant.
Results:
A total of 506 patients were included in this study. The mean age of the patients was 60 years, and more than half (69%) were females. Regarding antihypertensive medication use, 64% were on antihypertensive combination therapy, 76% on dual therapy, 21% on triple therapy, and 3% on quadruple therapy. Moreover, 21% of the hypertensive patients were exposed to polypharmacy. There was a significant relationship (P<0.001) between the overall number of chronic medications used per day and the duration of hypertension.
Conclusion:
More clinical research is needed to identify the impact of polypharmacy on the quality of healthcare in PHC centres in general and hypertensive patients specifically in different regions of Saudi Arabia.
Keywords: Polypharmacy, Medical prescribing, antihypertensive, Saudi Arabia
Introduction
Highlights
Although it is a well-recognised problem, limited studies have investigated polypharmacy in Saudi Arabia.
Our study is the first to examine polypharmacy among hypertensive patients in the Makkah region.
Our results showed that more than half of hypertensive patients were on combination therapy.
Our results showed that the rate of polypharmacy was associated with the duration of hypertension in patients.
Although various approaches to decrease polypharmacy have been suggested, no considerable evidence from appropriately powered randomised controlled trials exists about their practicality for use in primary healthcare.
Hypertension is one of the most important cardiovascular diseases in the modern world. It is a risk factor for the development of atherosclerotic cardiovascular diseases (including myocardial infarction, stroke and claudication1. Hypertension management has improved significantly due to increased awareness of associated health risks, improved pharmacological management offered by primary care practitioners and availability of effective treatment options1,2. A lack of patient compliance is the most common reason for the failure of antihypertensive medications3.
Hypertension is often an asymptomatic condition; its treatment includes blood pressure control (to reduce the risk of death or disability from cardiovascular disease, especially stroke, coronary artery disease and cardiac failure) without inducing adverse effects or otherwise interfering with patient well-being4,5. It is important to enhance compliance by selecting a drug regimen that both reduces adverse effects and minimises the number of doses required daily6.
There is no consensus on the definition of polypharmacy in the literature; however, a numerical definition of five or more medications per day is mainly referred to7,8. In general, it is recommended to treat each chronic condition according to disease-specific guidelines. Still, in clinical practice, physicians do not adjust or discuss the applicability of recommendations for patients with chronic diseases (including hypertension and diabetes mellitus), and following all guidelines for each medication a patient is taking will certainly result in polypharmacy9,10.
Healthcare professionals have become concerned about preventing or minimising the negative outcomes of polypharmacy, including adverse drug reactions, drug–drug interactions, nonadherence to medications and greater healthcare costs11. However, although various approaches to decreasing polypharmacy and inappropriate medication prescribing have been suggested, no considerable evidence from appropriately powered randomised controlled trials exists about their practicality for use in primary healthcare (PHC) centres or their impact on patient health12,13.
Saudi Arabia has a large number of hypertensive patients who require close attention and specific care for their medications14. Although it is a well-recognised problem, few studies have investigated polypharmacy in Saudi Arabia. Therefore, this study aims to gain a better perspective on polypharmacy among hypertensive patients attending PHC centres in the Makkah region, Saudi Arabia.
Materials and methods
Ethical approval
This study was approved by the Local Committee for Research Ethics, General Directorate of Health Affairs for the Makkah region, Saudi Arabia (H-02-K076-1903-095), under the Declaration of Helsinki.
Study design
This was an observational, cross-sectional, descriptive study of patients followed up at hypertension clinics from 1 July 2019 to 30 June 2022 at 10 PHC centres in the Makkah region, Saudi Arabia. Most of the data collection was performed before the coronavirus disease 2019 (COVID-19) pandemic. However, because of COVID-19 restrictions, we worked on and off to collect and complete the data.
Inclusion and exclusion criteria
The inclusion criteria were male and nonpregnant female patients, aged 18 years and over, who had a diagnosis of hypertension for at least 12 months, signed an informed consent form, had three or more visits to the clinic and took any prescription medication. The exclusion criteria included pregnant patients, the inability to provide informed consent and persons who were not taking any medication or were newly diagnosed or visiting the clinic for the first time.
Sample size and data collection
The sample size was calculated using Slovin’s formula, with a population size of 417 participants from a recently published study in Riyadh, Saudi Arabia, by Almutairi et al.15, with a confidence interval of 95% and a margin of error of 5%. The World Health Organization has adopted the following definition of polypharmacy: the use of five or more medications per day8.
All prescription medications taken by the patient were included, and according to this study, polypharmacy is related to all chronic medications (including antihypertensives and medications for comorbidities). Medications used on a weekly, bi-weekly or monthly basis were not included if they were used for less than 3 months. After obtaining informed consent, patients’ demographic and other relevant information was recorded, including file number, age, gender, height, weight, duration of hypertension, blood pressure and pulse readings, and the number and classes of medications used. Data were collected by interview, chart review, a check of all medications being used by the patient and the tracking of their current computerised drug prescriptions. The collected data were transferred to Microsoft Excel.
Statistical analysis
Data were analysed using SPSS version 23.0 (SPSS Inc.), and we presented categorical variables as frequencies and percentages. We used Pearson’s χ 2 test to measure any differences. A P value less than 0.05 was considered statistically significant.
Results
Patients’ demographic and baseline characteristics
A total of 506 patients were included in this study. The mean age of the patients was 60 years. Over two-thirds of them (69%) were females, while 31.3% were male. The mean body mass index of the patients was 28.5 kg/cm2. The mean systolic and diastolic blood pressure for our study sample was 142/78. The mean pulse rate was 82 beats per minute. The mean of antihypertensive medications used by the patients was two. While 36% of the patients were on antihypertensive monotherapy, 64% were on antihypertensive combination therapy, comprising 76% on dual therapy, 21% on triple therapy and 3% on quadruple therapy. A total of 46% of the patients had antidiabetic medications, 9% had lipid-lowering medications, 3% had anticoagulation medications and 41% had medications for coexisting diseases, such as rheumatoid arthritis, gout and hypothyroidism (Table 1).
Table 1.
Demographic and baseline characteristics of the sample population.
| Mean | ||
|---|---|---|
| Age (years) | 60 | |
| BMI (kg/cm2) | 29 | |
| Duration of being diagnosed with hypertension (years) | 8 | |
| Systolic blood pressure (mmHg) | 142 | |
| Diastolic blood pressure (mmHg) | 78 | |
| Pulse rate (BPM) | 82 | |
| Number of medications used for hypertension | 2 | |
| Frequency | % | |
| Gender | ||
| Females | 373 | 69 |
| Males | 133 | 31 |
| Antihypertensive medications use | ||
| Patients on antihypertensive monotherapy | 182 | 36 |
| Patients on antihypertensive combination therapy | 324 | 64 |
| Patients on dual antihypertensive therapy | 247 | 76 |
| Patients on triple antihypertensive therapy | 68 | 21 |
| Patients on quadruple antihypertensive therapy | 9 | 3 |
| Other comorbidity medications use | ||
| Antidiabetic medications | 231 | 46 |
| Lipid-lowering medications | 44 | 9 |
| Anticoagulation medications | 17 | 3 |
| Medications for other diseases | 206 | 41 |
| Mean | ||
| Lab findings | ||
| Creatinine (mg/dl) | 1 (0.51–0.95) | |
| Urea (mg/dl) | 22 (6–20) | |
| Uric acid (mg/dl) | 5 (2.4–5.7) | |
| Chloride (mmol/l) | 102 (98–107) | |
| Potassium (mmol/l) | 4 (3.5–5.1) | |
| Sodium (mmol/l) | 141 (136–145) | |
| Calcium (mg/dl) | 9 (8.6–10.2) | |
| Bilirubin (mg/dl) | 1 (0.1–1.2) | |
| Albumin (g/dl) | 5 (3.5–5.2) | |
| AST (U/l) | 22 (0–32) | |
| ALT (U/l) | 26 (5–31) | |
| Cholesterol (mg/dl) | 193 (<200) | |
| Triglyceride (mg/dl) | 141 (<200) | |
| LDL (mg/dl) | 118 (<100) | |
| HDL (mg/dl) | 56 (>60) | |
| HbA1c (%) | 7 (4–5.7) | |
ALT, Alanine transaminase; AST, Aspartate transaminase; BPM, beats per minute; HDL, high-density lipoprotein; LDL, low-density lipoprotein.
As shown in Table 2, the most commonly used class of antihypertensive medications is angiotensin-converting enzyme inhibitors (58%), followed by calcium channel blockers (54%), angiotensin II receptor blockers and diuretics (33%), beta-blockers (18%) and alpha-blockers (0.6%). Amlodipine (calcium channel blocker) was the most commonly used medication (91%), followed by valsartan (angiotensin II receptor blocker, 72%) and lisinopril (angiotensin-converting enzyme inhibitor, 41%).
Table 2.
Classes of antihypertensive medications.
| Frequency | % | |
|---|---|---|
| Angiotensin-converting enzyme inhibitors | 292 | 58 |
| Captopril: 25 mg, 50 mg, 100 mg | 93 | 32 |
| Enalapril: 5 mg, 10 mg | 7 | 2 |
| Perindopril: 5 mg, 10 mg | 68 | 23 |
| Lisinopril: 5 mg, 10 mg | 121 | 41 |
| Ramipril: 5 mg | 1 | 0.3 |
| Quinapril: 5 mg | 2 | 1 |
| Angiotensin II receptor blockers | 168 | 33 |
| Losartan: 50 mg | 7 | 4 |
| Olmesartan: 20 mg, 40 mg | 11 | 7 |
| Irbesartan: 150 mg, 300 mg | 9 | 5 |
| Valsartan: 80 mg, 160 mg | 121 | 72 |
| Candesartan: 16 mg | 1 | 1 |
| Telmisartan: 40 mg, 80 mg | 18 | 11 |
| Azilsartan: 80 mg | 1 | 1 |
| Calcium channel blockers | 276 | 54 |
| Amlodipine: 5 mg, 10 mg | 252 | 91 |
| Nifedipine: 30 mg, 60 mg | 24 | 9 |
| Diuretics | 168 | 33 |
| Furosemide: 40 mg | 23 | 14 |
| Hydrochlorothiazide: 12.5 mg, 25 mg | 35 | 21 |
| Indapimide: 1.5 mg | 85 | 51 |
| Chlothalidone: 25 mg | 3 | 2 |
| Amloride: 25 mg | 6 | 4 |
| Bumetanide: 1.5 mg | 3 | 2 |
| Metolazone: 2.5 mg, 5 mg | 14 | 8 |
| Beta-blockers | 90 | 18 |
| Atenolol :50 mg, 100 mg | 34 | 38 |
| Bisoprolol: 2.5 mg, 5 mg | 46 | 51 |
| Metoprolol: 5 mg | 3 | 3 |
| Carvedilol: 5 mg, 25 mg | 5 | 6 |
| Acebutolol: 400 mg | 1 | 1 |
| Labetalol: 100 mg | 1 | 1 |
| Alpha-blockers: Doxazosin | 3 | 1 |
In terms of the overall number of chronic medications (including antihypertensives and medications for comorbidities) used by the hypertensive patients, 79% used fewer than five medications per day, 12% used five medications per day and only 9% used more than five medications, as shown in Figure 1.
Figure 1.

Overall number of chronic medications used per day.
As shown in Table 3, Pearson’s χ 2 test was used to determine whether there was a dependent relationship between the overall number of chronic medications used per day and the duration of hypertension. The results indicated a significant relationship (P<0.001).
Table 3.
Relationship between the number of chronic medications used and the duration of hypertension.
| The overall number of chronic medications used per day | |||||
|---|---|---|---|---|---|
| <5 medications | 5 medications | >5 medications | Total | ||
| Duration of hypertension | <10 years | 258 | 25 | 18 | 301 |
| 10–20 years | 116 | 29 | 15 | 160 | |
| >20 years | 29 | 7 | 9 | 45 | |
| Total | 403 | 61 | 42 | 506 | |
| Pearson’s χ 2 | P<0.001 | ||||
Statistical significance was determined at P<0.05.
Discussion
The present study aims to gain a better perspective on polypharmacy among hypertensive patients attending PHC centres in the Makkah region, Saudi Arabia, by collecting data from patients attending 10 PHC centres in Makkah, Saudi Arabia. Our study showed that the mean of antihypertensive medications used by the patients was two, and 21% of the patients were exposed to five or more medications per day. Additionally, our findings demonstrated a significant association between the duration of hypertension and the overall number of chronic medications used per day.
The percentage of patients exposed to polypharmacy (considering the numerical definition of five or more medications per day) in the present study is lower than the percentages in other studies. For instance, a study conducted in Riyadh, Saudi Arabia, with 3009 patients showed that 50% of them were exposed to polypharmacy16. Another study done in Kuwait indicated that around 60% of participants were exposed to polypharmacy17. Furthermore, clinical studies conducted in the U.S. and Brazil showed that 39% and 32% of patients were exposed to polypharmacy, respectively18,19. Possible explanations for our results are the differences in definitions and approaches in clinical studies targeting polypharmacy, which make it difficult to describe polypharmacy and measure the safety and appropriateness of therapy in the clinical setting7,20. For instance, some definitions include a range from the use of two or more medications for more than 240 days to five to nine medications for 90 days or more21,22. Moreover, the PHC centres in Makkah are generating new systems, such as the implementation of electronic medical records that follow up every patient with excellent management and well-balanced therapeutic plans associated with patient education23,24.
The most commonly used class of antihypertensive medications among our participants was angiotensin-converting enzyme inhibitors (mainly lisinopril), followed by calcium channel blockers (mainly amlodipine), beta-blockers and alpha-blockers. Our results demonstrate that hypertension management in PHC centres mostly agrees with the guidelines and recommendations. For instance, angiotensin-converting enzyme inhibitors and calcium channel blockers are considered the first-line antihypertensive medications according to several international guidelines, such as those of the National Institute for Health and Care Excellence and the American Heart Association25,26.
Similar to other studies, our results showed that polypharmacy was higher among females (69%) than males18,27–29. However, other studies have found a higher prevalence in males30–32. Such inconsistencies may be attributed to variations between physicians’ prescribing attitudes and behaviours towards different genders33. In our study, nearly half of the participants had associated diabetes. This association is consistent with a study that investigated the use of polypharmacy in hypertensive patients34. Another study involving the local Saudi population showed a significant association between the number of comorbidities in a patient and the number of medications they are on. The relationship was directly proportional14.
Our results also demonstrate that the rate of polypharmacy is associated with the duration of hypertension in patients. This can be explained by the progression of the disease in patients who need more medications to reduce their symptoms and improve their quality of life. This can lead to polypharmacy; however, the benefits of maximising polypharmacy in chronic diseases can involve the use of effective combinations that help patients with their symptoms and reduce disease progression35,36. Therefore, polypharmacy is associated with both risks and benefits and hence should be individualised.
A few limitations should be considered when reading the results of this study. The differences in multiple definitions of polypharmacy made comparing the results with previous studies difficult. In addition, we did not measure patients’ adherence to medications using the most used methods, including patient self-reports (such as The Morisky Medication Adherence Scale), pill counts and pharmacy refills. Despite these limitations, our study has many strengths. The present study is the first to examine polypharmacy among hypertensive patients in the Makkah region. Moreover, our sample size was large enough to be statistically powerful and sufficient. Thus, our results can be considered as a base to gain a better perspective on hypertensive patients attending PHC centres in the Makkah region.
Conclusions
In our study, almost two-thirds of hypertensive patients were on dual therapy of antihypertensive medication. Considering the numerical definition of five or more medications per day, 21% of hypertensive patients were exposed to polypharmacy. Furthermore, there was a significant relationship between the total number of chronic medications used per day and the duration of hypertension. The impact of polypharmacy on medication adherence and the control of underlying diseases in Saudi Arabia is unknown and needs to be studied at various levels of healthcare institutions in different regions of Saudi Arabia. Healthcare providers can help manage polypharmacy by offering recommendations simplifying medication regimens and lowering medication numbers to optimise healthcare quality and improve drug safety among hypertensive patients.
Ethical approval
This study was approved by the Local Committee for Research Ethics, General Directorate of Health Affairs for the Makkah region, Saudi Arabia (H-02-K076-1903-095), under the Declaration of Helsinki.
Consent
Written informed consent was obtained from the patient for the publication of this case report and accompanying images. A copy of the written consent is available for review by the Editor-in-Chief of this journal on request.
Sources of funding
This research received no external funding.
Author contribution
S.A. and H.A.: conceptualisation; S.A.: methodology; A.M. and N.I.: software; H.A. and A.M.: validation; S.A., H.A. and N.I.: formal analysis; N.H. and H.S.A.: investigation; N.H.: resources; S.A.: writing – original draft preparation; A.F., H.S.A., and N.A.: writing – review and editing; Y.A.: visualisation; N.A.: supervision; A.F. and R.Q.: project administration.
Conflicts of interest disclosure
The authors declare no conflicts of interest.
Research registration unique identifying number (UIN)
Name of the registry: not applicable.
Unique identifying number or registration ID: not applicable.
Hyperlink to your specific registration (must be publicly accessible and will be checked): not applicable.
Guarantor
Safaa M. Alsanosi.
Provenance and peer review
The paper was not invited.
Data availability statement
None.
Footnotes
Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article.
Published online 10 May 2023
Contributor Information
Safaa M. Alsanosi, Email: smsanosi@uqu.edu.sa.
Ahmed H. Mousa, Email: drahmedhafezmousa@gmail.com.
Hind A. Ahmadini, Email: handahmdany2013@hotmail.com.
Rawabi S. Qadhi, Email: 2690889R@student.gla.ac.uk.
Nadeem Ikram, Email: pathology4.jed@bmc.edu.sa.
Alaa H. Felemban, Email: ahfalemban@uqu.edu.sa.
Hamsah S. Alqashqri, Email: hsqashqri@uqu.edu.sa.
Nahla H. Hariri, Email: nhhariri@uqu.edu.sa.
Yosra Z. Alhindi, Email: yzhindi@uqu.edu.sa.
Nahla Ayoub, Email: naayoub@uqu.edu.sa.
References
- 1. Carey RM, Muntner P, Bosworth HB, et al. Prevention and control of hypertension: JACC Health Promotion Series. J Am Coll Cardiol 2018;72:1278–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Petrella RJ, Merikle EP, Jones J. Prevalence, treatment, and control of hypertension in primary care: gaps, trends, and opportunities. J Clin Hypertens (Greenwich) 2007;9:28–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Alosaimi K, Alwafi H, Alhindi Y, et al. Medication adherence among patients with chronic diseases in Saudi Arabia. Int J Environ Res Public Health 2022;19:10053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Nguyen Q, Dominguez J, Nguyen L, et al. Hypertension management: an update. Am Health Drug Benefits 2010;3:47–56. [PMC free article] [PubMed] [Google Scholar]
- 5. Stewart J, Manmathan G, Wilkinson P. Primary prevention of cardiovascular disease: a review of contemporary guidance and literature. JRSM Cardiovasc Dis 2017;6:2048004016687211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Ofili EO. Dispelling the myth of “aggressive” antihypertensive therapy. J Clin Hypertens (Greenwich) 2006;8(suppl 1):4–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Masnoon N, Shakib S, Kalisch-Ellett L, et al. What is polypharmacy? A systematic review of definitions. BMC Geriatr 2017;17:230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Taghy N, Cambon L, Cohen JM, Dussart C. Failure to Reach a Consensus in Polypharmacy Definition: An Obstacle to Measuring Risks and Impacts-Results of a Literature Review. Ther Clin Risk Manag. 2020;16:57–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Østbye T, Yarnall KS, Krause KM, et al. Is there time for management of patients with chronic diseases in primary care? Ann Fam Med 2005;3:209–214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Cryer MJ, Horani T, DiPette DJ. Diabetes and hypertension: a comparative review of current guidelines. J Clin Hypertens (Greenwich) 2016;18:95–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Maher RL, Hanlon J, Hajjar ER. Clinical consequences of polypharmacy in elderly. Expert Opin Drug Saf 2014;13:57–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Rieckert A, Sommerauer C, Krumeich A, et al. Reduction of inappropriate medication in older populations by electronic decision support (the PRIMA-eDS study): a qualitative study of practical implementation in primary care. BMC Fam Pract 2018;19:110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Mangin D, Bahat G, Golomb BA, et al. International Group for Reducing Inappropriate Medication Use & Polypharmacy (IGRIMUP): position Statement and 10 Recommendations for Action. Drugs Aging 2018;35:575–587. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Alsuwaidan A, Almedlej N, Alsabti S, et al. A comprehensive overview of polypharmacy in elderly patients in Saudi Arabia. Geriatrics (Basel) 2019;4:36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Almutairi AS, Alhazmi TM, Alotaibi YH, et al. Medication adherence among multimorbid patients with polypharmacy and its relation to social support at National Guard Primary Health Care Centers, Riyadh. Cureus 2022;14:e30679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Sabzwari SR, Qidwai W, Bhanji S. Polypharmacy in elderly: a cautious trail to tread. J Pak Med Assoc 2013;63:624–627. [PubMed] [Google Scholar]
- 17. Badawy NA, Labeeb SA, Alsamdan MF, et al. Prevalence and risk of polypharmacy among community-dwelling, elderly Kuwaiti patients. Med Princ Pract 2020;29:166–173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Pereira KG, Peres MA, Iop D, et al. Polypharmacy among the elderly: a population-based study. Rev Bras Epidemiol 2017;20:335–344. [DOI] [PubMed] [Google Scholar]
- 19. Charlesworth CJ, Smit E, Lee DS, et al. Polypharmacy among adults aged 65 years and older in the United States: 1988-2010. J Gerontol A Biol Sci Med Sci 2015;70:989–995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Alshanberi AM. Recent updates on risk and management plans associated with polypharmacy in older population. Geriatrics (Basel) 2022;7:97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Nishtala PS, Salahudeen MS. Temporal trends in polypharmacy and hyperpolypharmacy in older New Zealanders over a 9-year period: 2005–2013. Gerontology 2015;61:195–202. [DOI] [PubMed] [Google Scholar]
- 22. Mortazavi SS, Shati M, Keshtkar A, et al. Defining polypharmacy in the elderly: a systematic review protocol. BMJ Open 2016;6:e010989. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Wali RM, Alqahtani RM, Alharazi SK, et al. Patient satisfaction with the implementation of electronic medical records in the Western Region, Saudi Arabia, 2018. BMC Fam Pract 2020;21:37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. AlZahrani AM, BinDajam OS, AlGhamdi SA, et al. Quality of care provided to diabetic patients attending primary health care centers in National Guard in Makkah Region, Saudi Arabia. J Family Med Prim Care 2022;11:2900–2908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Flack JM, Adekola B. Blood pressure and the new ACC/AHA hypertension guidelines. Trends Cardiovasc Med 2020;30:160–164. [DOI] [PubMed] [Google Scholar]
- 26. Jones NR, McCormack T, Constanti M, et al. Diagnosis and management of hypertension in adults: NICE guideline update 2019. Br J Gen Pract 2020;70:90–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Alwhaibi M, Balkhi B, Alhawassi TM, et al. Polypharmacy among patients with diabetes: a cross-sectional retrospective study in a tertiary hospital in Saudi Arabia. BMJ Open 2018;8:e020852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Ramos LR, Tavares NU, Bertoldi AD, et al. Polypharmacy and polymorbidity in older adults in Brazil: a public health challenge. Rev Saude Publica 2016;50(suppl 2):9s. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Morin L, Johnell K, Laroche ML, et al. The epidemiology of polypharmacy in older adults: register-based prospective cohort study. Clin Epidemiol 2018;10:289–298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Onoue H, Koyama T, Zamami Y, et al. Trends in polypharmacy in Japan: a Nationwide Retrospective Study. J Am Geriatr Soc 2018;66:2267–2273. [DOI] [PubMed] [Google Scholar]
- 31. Slabaugh SL, Maio V, Templin M, et al. Prevalence and risk of polypharmacy among the elderly in an outpatient setting: a retrospective cohort study in the Emilia-Romagna region, Italy. Drugs Aging 2010;27:1019–1028. [DOI] [PubMed] [Google Scholar]
- 32. Kim HA, Shin JY, Kim MH, et al. Prevalence and predictors of polypharmacy among Korean elderly. PLoS One 2014;9:e98043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Al-Dahshan A, Al-Kubiasi N, Al-Zaidan M, et al. Prevalence of polypharmacy and the association with non-communicable diseases in Qatari elderly patients attending primary healthcare centers: a cross-sectional study. PLoS One 2020;15:e0234386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Diaconu CC, Cozma MA, Dobrică EC, et al. Polypharmacy in the management of arterial hypertension-friend or foe? Medicina (Kaunas) 2021;57:1288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Bushardt RL, Massey EB, Simpson TW, et al. Polypharmacy: misleading, but manageable. Clin Interv Aging 2008;3:383–389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Salazar JA, Poon I, Nair M. Clinical consequences of polypharmacy in elderly: expect the unexpected, think the unthinkable. Expert Opin Drug Saf 2007;6:695–704. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
None.
