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editorial
. 2019 Oct 3;10:2042098619880122. doi: 10.1177/2042098619880122

Prescribing issues in older adults living with HIV: thinking beyond drug–drug interactions with antiretroviral drugs

Françoise Livio 1, Catia Marzolini 2,3,
PMCID: PMC6777047  PMID: 31620274

Introduction

Thanks to potent antiretroviral therapy, the life expectancy of people living with HIV (PLWH) has increased significantly and has become comparable to the general population.13 Consequently, this population is aging, living long enough to face age-related chronic comorbidities, including cardiovascular diseases, kidney disease, diabetes mellitus, chronic obstructive pulmonary disease, cancer, osteoarthritis or neurocognitive impairment.46 The age-related comorbidities burden leads inevitably to polypharmacy, which is commonly defined in HIV medicine as being on at least five concomitant non-HIV medications. The prevalence of polypharmacy has been shown to be high in different European and American HIV cohorts, ranging from 37% up to 94% in PLWH aged ⩾50 years up to ⩾75 years.712

Simulations based on the data of the Dutch HIV cohort ATHENA predicted that the median age would increase from 43 years in 2010 to 56 in 2030, resulting in 40% of HIV-infected individuals being 60 years old or older and 28% having at least three comorbidities. In 2030, about one-half of PLWH are anticipated to take comedications, compared with 13% in 2010, with 20% taking three or more comedications.13 Similar forecasts were obtained for Italian and US PLWH.14 Additional prescribing issues are emerging with the aging of the HIV population.

Inappropriate prescribing in older PLWH

The definition of inappropriate prescribing includes the use of medications associated with more potential risks than potential benefits, or prescribing that does not comply with accepted medical standards.1519 Inappropriate prescribing has been shown to be frequent in older individuals (⩾65 years) and to be related to negative health outcomes.6,2024 Studies in older PLWH have focused mainly on drug–drug interactions (DDIs) with antiretroviral drugs (ARVs), whereas other prescribing issues have been poorly addressed. In a retrospective analysis of the over 60 HIV Cohort from the University of San Francisco, older PLWH had a median of 13 medications including ARVs, and all had one clinically significant DDI. Overall, half of the patients had one, or more than one, inappropriate prescription looking at the Beers criteria,25 with 17% taking anticholinergic drugs. Hyperlipidemia, hypertension and depression were the most frequently reported comorbidities. The number of comorbidities and medication problems were more prevalent in PLWH compared with an uninfected control group matched for age and gender.10

In a prospective study performed at the San Francisco General Hospital, PLWH aged >50 had a mean of 11 comedications besides ARVs. Contraindicated DDIs were detected in 8% of patients. Inappropriate prescriptions were identified in 54% and 63% of patients using the STOPP and Beers criteria, respectively.11,26 The number of medications was significantly associated with prescribing errors. The latter were resolved; however, the study did not evaluate the impact of the intervention. Hypertension, depression, asthma, chronic obstructive pulmonary disease, dyslipidemia, coronary heart disease and diabetes mellitus were the main comorbidities.11

Finally, in a retrospective analysis of the Swiss HIV Cohort data, PLWH aged ⩾75 had a median of five comedications in addition to ARVs. The median number of comorbidities was seven, including mostly hypertension, chronic kidney disease (stage III or below, KDIGO),27 neurocognitive impairment, dyslipidemia and polyneuropathy. Prescription analysis was done using the following resources: Beers and STOPP/START criteria,28,29 Anticholinergic Risk Scale,30 DDIs checker from the University of Liverpool (www.hiv-druginteractions.org), DDIs data from published studies or package inserts. In total, 169 prescribing problems were identified including unadjusted dosage (25%), no indication (21%), medication omission (19%), medication not appropriate in older individuals (19%), deleterious DDIs (14%) and treatment going beyond the recommended duration (2%). The patients with the highest disease burden and polypharmacy presented a higher risk of having more than one prescribing error.9

Taken together, these studies highlight that prescribing issues in older PLWH more often include non-HIV drugs and go beyond the problem of DDIs with ARVs. Furthermore, these data suggest that older PLWH encounter at least as many prescribing issues as observed in older uninfected individuals. As expected, polymedicated patients with high comorbidity burden are most at risk.

Appropriate prescribing: a focus on older patients including PLWH

Tailored appropriate prescribing is recommended for any patient but is hard to achieve, particularly in older patients with comorbidities. Older PLWH are not much different than older uninfected individuals, except for HIV infection, ARVs, and comorbidities generally occurring at an earlier age. These are likely explained by factors such as chronic immune activation and immune senescence,31 lifestyle (e.g. smoking, alcohol use, illicit drug consumption), viral co-infections (e.g. hepatitis, sexually transmitted diseases) and ARV toxicity, particularly first generation.3235

Key points to consider when prescribing, regardless of age or virological status, are indication, efficacy and effectiveness, dosage, DDIs and monitoring.

Indication, efficacy and effectiveness

Before prescribing, the very first questions to be asked are as follows:

  • (1) Is the medication indicated for the problem and is it indicated in this specific patient?;

  • (2) Is the medication efficacious for a given condition? What is the number needed to treat (NNT), that is, what is the number of individuals that need to be treated to prevent one additional bad outcome (see appendix)? Is it expected to be effective in this specific patient?;

  • (3) What about the medication’s risks? What is the number needed to harm (NNH), that is, what is the number of individuals that need to be exposed to observe one adverse drug reaction (see Appendix)? Is this specific patient particularly at risk for an adverse drug reaction of this medication?36

Assessing the benefit versus harm of a medication prospectively in a specific individual is often difficult and based on many assumptions. One of the reasons is that the benefit versus harm assessment from clinical trials cannot be extrapolated to an individual patient without further consideration. This is even more true when it comes to older multimorbid patients who are almost never included in clinical trials.

Guidelines should also be appraised critically, as they are not individualized and not always based on strong evidence. Furthermore, they generally focus on single diseases and do not provide guidance on how to prioritize medications in multimorbid older patients for whom a global approach is warranted.6 The risk/benefit of each medication, the care goals, the remaining life expectancy and the current level of functioning as well as patient preference (patient-centered approach) should be carefully considered when prescribing.6,37

Dosage individualization

Advanced age is associated with physiological changes that can alter pharmacokinetics, with drug clearance being the most affected parameter. Older age has been linked to a decreased metabolic clearance (30–40%), explained mainly by the decline in liver weight and liver blood flow.38 A reduction in the glomerular filtration rate (GFR) is also observed with aging, resulting in a lower clearance of drugs eliminated unchanged by the kidney. The GFR progressively declines, reaching 50% of the young adult value by the age of 90 when accounting for age-related physiological changes only.39 Not uncommonly, diseases (e.g. diabetes mellitus, hypertension, atherosclerosis, liver cirrhosis) superimpose on the aging process and further decrease drug clearance. Since older individuals are often excluded from clinical trials, the effect of older age on the pharmacokinetics of antiretroviral drugs is poorly documented. Available studies have shown that the levels of the ARVs efavirenz and raltegravir are not significantly modified in older PLWH, whereas the protease inhibitors darunavir/ritonavir or lopinavir/ritonavir are mostly increased.4042 The maximal concentrations of dolutegravir were shown to be raised by 25%.43 Finally, the exposure of the nucleoside reverse transcriptase inhibitors was shown to be either decreased or increased.44

Aging can also alter pharmacodynamics, leading mostly to a stronger effect of drugs, or sometimes a decreased effect. Differences in the affinity to receptor sites or in the number of receptors with aging or the alteration of homeostatic processes can explain changes in the pharmacodynamic response.6,45 These changes have been best documented for cardiovascular and central nervous system (CNS) drugs. For instance, older patients have more pronounced effects of benzodiazepines. For instance, sedation was achieved in individuals aged ⩾65 with half the dose of midazolam compared with young adults.46 Due to a reduction in cholinergic receptors in the brain, older patients are more prone to present CNS side effects (e.g. delirium, cognitive impairment) when treated with anticholinergic drugs (e.g. first generation antihistamines, tricyclic antidepressants), which should therefore be avoided.47 Conversely, beta-blockers have a reduced effect in older patients partly because of the diminished sensitivity of beta-adrenergic receptors.48

Dosage adjustment recommendations provided by manufacturers are mostly available for moderate renal function impairment (stage III KDIGO), but are scarce in more advanced stages, due to lack of specific studies. Of note, equations such as Cockcroft-Gault clearance or eGFR CKD-EPI perform better than plasma creatinine, but remains rough estimates.

The management of patients becomes more challenging in the presence of a combination of different organ impairments (e.g. liver, kidney, heart), as there are no validated dosage recommendations. With a few exceptions (e.g. anti-infectives, glucocorticoids, carbimazole), one key principle is to start with a low dose and increase gradually while monitoring the effect to guide changes in dose.36

DDIs

One major prescribing problem in older PLWH includes DDIs notably with ARVs. An analysis of the Swiss HIV Cohort Study showed a higher frequency of DDIs in patients aged ⩾50 compared with patients <50 with fewer medications.49 Similar observations were reported in other studies.50,51 ARVs have a well-known high potential of pharmacokinetic DDIs, as most of them can be either victim or perpetrator of DDIs, or both. However, the last generation of ARVs, such as raltegravir, dolutegravir and bictegravir (integrase inhibitors), or rilpivirine and doravirine (nonnucleoside reverse transcriptase inhibitors), have a lower potential for DDIs; they are impacted mainly by inhibitors or inducers of drug metabolizing enzymes or transporters, and therefore are potential victims of DDIs.

The first step to detect DDIs is to look for a perpetrator, either an enzyme/transporter inhibitor or inducer. If there is a perpetrator, the second step is to look for potential victims. Freely available resources to detect and manage DDIs with ARVs include: HIV drug interactions database from the University of Liverpool (http://www.hiv-druginteractions.org); Toronto General Hospital Immunodeficiency Clinic’s drug therapy guide (http://app.hivclinic.ca) and the University of California HIVInSite website (http://hivinsite.ucsf.edu).6

The number of drug combinations assessed in clinical studies is limited, thus the likelihood of having a DDI is evaluated based mostly on the knowledge of the metabolic pathway of the drugs. Furthermore, DDIs studies are restricted to pairs of medications and performed mostly in healthy volunteers; thus, available data may not fully apply to older multimorbid and polymedicated patients. The safest attitude is to avoid DDIs by switching perpetrator or victim whenever possible.

The presence of age-related comorbidities increases the risk not only of DDIs but also of drug–disease interaction,6 also termed therapeutic competition. This is when the prescription of an additional medication to treat one medical problem may worsen a coexisting condition.52 For instance, medications for heart failure may worsen a pre-existing urinary incontinence, or the use of tenofovir disoproxil may further reduce bone mineral density in PLWH with pre-existing osteoporosis.52,53 Thus, the greater the comorbidities, the narrower the scope of therapeutic options.

Monitoring

Monitoring may apply to therapeutic effect or adverse reactions. Methods involve symptoms and biomarkers of therapeutic or adverse outcomes (e.g. glycosylated hemoglobin for antidiabetic agents, blood pressure for antihypertensive agents, electrolytes for diuretics).36 Therapeutic drug monitoring of plasma drug concentrations can be helpful, particularly in multimorbid patients for whom an a priori dosage may be inappropriate, provided the concentration target is well established.

A therapeutic goal, as well as an appropriate monitoring strategy, should ideally be set and shared with the patient whenever a medication is prescribed. The patient should also be informed about the importance of being compliant to the treatment, and about the potential occurrence of common or serious adverse drug reactions in order to be able to promptly recognize them. The effect (beneficial and harmful) of the medication should be regularly assessed in relation to the therapeutic goal, and any potential adjustments made accordingly. In case of doubtful effectiveness, withdrawal should be considered, even if the medication is well tolerated.

Conclusion

Prescribing remains a challenging and risky task, particularly in older patients, including PLWH, who are under-represented in observational studies and randomized clinical studies, thus resulting in low evidence-based prescribing.

A multidisciplinary team including HIV physicians, general practitioners/geriatricians and clinical pharmacologists/pharmacists is advised to optimize treatments of multimorbid older PLWH and thereby achieve the goals of appropriate prescribing. In order to ensure a good communication and coordination between healthcare providers, a coordinator of care has to be designated.6

Education and training in clinical pharmacology are critical to ensure appropriate prescribing, particularly in the complex field of geriatrics and in an era of sustained launching of new drugs. Thus, pre- and postgraduate education in clinical pharmacology, including geriatric principles, should be reinforced.

The STOPP/START and Beers criteria may help prescribe in older PLWH. However, these explicit criteria should neither be a substitute for careful clinical judgement based on knowledge and experience, nor hinder a holistic individualized management, as these tools are mostly disease/drug-oriented and do not address patients’ complexity and specificities.6

Finally, time devoted to prescribing is usually very limited,54,55 essentially due to multiple medical issues beyond medication and time limit per visit. Prescribers should be allocated more time to deal with prescribing issues, especially in complex and vulnerable patients.

Computerized prescription systems including the patient’s clinical information, medication history, as well as information on medications, tools to screen for inappropriate drug use, drug omission and DDIs should be developed to assist clinicians in prescribing.6

Appendix: Determination of the number needed to treat (NNT) and number needed to harm (NNH)56

Event No event
Treatment a b
Placebo c d

NNT is calculated using the inverse of the absolute risk reduction (ARR) (efficacy data):

ARR=[c/(c+d)]-[a/(a+b)]
NNT=1/ARR

NNH is calculated using the inverse of the absolute risk increase (ARI) (adverse event data):

ARI=[a/(a+b)]-[c/(c+d)]
NNH=1/ARI

Example:

Blood clot No blood clot Risk
Treatment 70 430 70/500 = 14%
Placebo 150 350 150/500 = 30%

ARR = 30–14% = 16% (16% lower incidence of developing one blood clot in the treatment compared with the placebo group).

NNT = 1/0.16 = 6.25 (about six patients will need to be treated to prevent one blood clot).

On the other hand, the treatment caused a minor hemorrhagic event in 4% of patients in the treatment group compared with 3% in the placebo group:

ARI=4-3=1%

NNH = 1/0.01 = 100 (100 patients will have to be treated to observe one minor hemorrhagic event). Thus, this treatment would be considered to have a favourable benefit-risk ratio.

Footnotes

Funding: The author(s) received no financial support for the research, authorship, and publication of this article.

Conflict of interest statement: The authors declare that there is no conflict of interest.

ORCID iD: Catia Marzolini Inline graphic https://orcid.org/0000-0002-2312-7050

Contributor Information

Françoise Livio, Service of Clinical Pharmacology, Department of Laboratories, University Hospital of Lausanne, Switzerland.

Catia Marzolini, Division of Infectious Diseases and Hospital Epidemiology, Departments of Medicine and Clinical Research, University Hospital of Basel and University of Basel, CH-4031 Basel, Switzerland; Department of Molecular and Clinical Pharmacology, University of Liverpool, UK.

References

  • 1. Antiretroviral Therapy Cohort Collaboration. Survival of HIV-positive patients starting antiretroviral therapy between 1996 and 2013: a collaborative analysis of cohort studies. Lancet HIV 2017; 4: e349–e356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Gueler A, Moser A, Calmy A, et al. Life expectancy in HIV-positive persons in Switzerland: matched comparison with general population. AIDS 2017; 31: 427–436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Samji H, Cescon A, Hogg RS, et al. Closing the gap: increases in life expectancy among treated HIV-positive individuals in the United States and Canada. PLoS One 2013; 8: e81355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Allavena C, Hanf M, Rey D, et al. Antiretroviral exposure and comorbidities in an aging HIV-infected population: the challenge of geriatric patients. PLoS One 2018; 13: e0203895. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Hasse B, Ledergerber B, Furrer H, et al. Morbidity and aging in HIV-infected persons: the Swiss HIV cohort study. Clin Infect Dis 2011; 53: 1130–1139. [DOI] [PubMed] [Google Scholar]
  • 6. Marzolini C, Livio F. Prescribing issues in elderly individuals living with HIV. Expert Rev Clin Pharmacol 2019; 12: 643–659. [DOI] [PubMed] [Google Scholar]
  • 7. Guaraldi G, Malagoli A, Calcagno A, et al. The increasing burden and complexity of multi-morbidity and polypharmacy in geriatric HIV patients: a cross sectional study of people aged 65 - 74 years and more than 75 years. BMC Geriatr 2018; 18: 99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Justice A, Gordon KS, Skanderson M, et al. Nonantiretroviral polypharmacy and adverse health outcomes among HIV-infected and uninfected individuals. AIDS 2018; 32: 739–749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Livio F, Rrustemi F, Moffa G, et al. Polypharmacy, drug-drug interactions and potentially inappropriate prescribing in elderly patients of the Swiss HIV Cohort Study. In: 19th International Workshop on Clinical Pharmacology and Antiviral Therapy, May 22–24, Baltimore, 2018. [Google Scholar]
  • 10. Greene M, Steinman MA, McNicholl IR, et al. Polypharmacy, drug-drug interactions, and potentially inappropriate medications in older HIV-infected adults. J Am Geriatr Soc 2014; 62: 447–453. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. McNicholl IR, Gandhi M, Hare CB, et al. A pharmacist-led program to evaluate and reduce polypharmacy and potentially inappropriate prescribing in older HIV-positive patients. Pharmacotherapy 2017; 37: 1498–1506. [DOI] [PubMed] [Google Scholar]
  • 12. Lopez-Centeno B, Badenes-Olmedo C, Mataix-Sanjuan A, et al. Polypharmacy and drug-drug interactions in HIV-infected subjects in the region of Madrid (Spain): a population-based study. In: 14th International Congress on Drug Therapy in HIV Infection, Glasgow, October 28–31, 2018. [Google Scholar]
  • 13. Smit M, Brinkman K, Geerlings S, et al. Future challenges for clinical care of an ageing population infected with HIV: a modelling study. Lancet Infect Dis 2015; 15: 810–818. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Smit M, Cassidy R, Cozzi-Lepri A, et al. Projections of non-communicable disease and health care costs among HIV-positive persons in Italy and the USA: a modelling study. PLoS One 2017; 12: e0186638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Beers MH, Ouslander JG, Rollingher I, et al. Explicit criteria for determining inappropriate medication use in nursing home residents. UCLA division of geriatric medicine. Arch Intern Med 1991; 151: 1825–1832. [PubMed] [Google Scholar]
  • 16. Gurwitz JH. Suboptimal medication use in the elderly. The tip of the iceberg. JAMA 1994; 272: 316–317. [PubMed] [Google Scholar]
  • 17. Hanlon JT, Schmader KE, Ruby CM, et al. Suboptimal prescribing in older inpatients and outpatients. J Am Geriatr Soc 2001; 49: 200–209. [DOI] [PubMed] [Google Scholar]
  • 18. Hansen CR, Byrne S, Cullinan S, et al. Longitudinal patterns of potentially inappropriate prescribing in early old-aged people. Eur J Clin Pharmacol 2018; 74: 307–313. [DOI] [PubMed] [Google Scholar]
  • 19. Schmader K, Hanlon JT, Weinberger M, et al. Appropriateness of medication prescribing in ambulatory elderly patients. J Am Geriatr Soc 1994; 42: 1241–1247. [DOI] [PubMed] [Google Scholar]
  • 20. Dalleur O, Spinewine A, Henrard S, et al. Inappropriate prescribing and related hospital admissions in frail older persons according to the STOPP and START criteria. Drugs Aging 2012; 29: 829–837. [DOI] [PubMed] [Google Scholar]
  • 21. Hamilton H, Gallagher P, Ryan C, et al. Potentially inappropriate medications defined by STOPP criteria and the risk of adverse drug events in older hospitalized patients. Arch Intern Med 2011; 171: 1013–1019. [DOI] [PubMed] [Google Scholar]
  • 22. Hedna K, Hakkarainen KM, Gyllensten H, et al. Potentially inappropriate prescribing and adverse drug reactions in the elderly: a population-based study. Eur J Clin Pharmacol 2015; 71: 1525–1533. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Muhlack DC, Hoppe LK, Weberpals J, et al. The association of potentially inappropriate medication at older age with cardiovascular events and overall mortality: a systematic review and meta-analysis of cohort studies. J Am Med Dir Assoc 2017; 18: 211–220. [DOI] [PubMed] [Google Scholar]
  • 24. Reich O, Rosemann T, Rapold R, et al. Potentially inappropriate medication use in older patients in Swiss managed care plans: prevalence, determinants and association with hospitalization. PLoS One 2014; 9: e105425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. The American Geriatrics Society 2012 Beers Criteria Update Expert Panel. American geriatrics society updated beers criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc 2012; 60: 616–631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Gallagher P, Ryan C, Byrne S, et al. STOPP and START. Consensus validation. Int J Clin Pharmacol Ther 2008; 46: 72–83. [DOI] [PubMed] [Google Scholar]
  • 27. Kidney Disease: Improving Global Outcomes Hepatitis C Work Group. KDIGO 2018 clinical practice guideline for the prevention, diagnosis, evaluation, and treatment of hepatitis C in chronic kidney disease. Kidney Int Suppl 2018; 8: 91–165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. American Geriatrics Society Beers Criteria Update Expert Panel. American geriatrics society 2015 updated beers criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc 2015; 63: 2227–2246. [DOI] [PubMed] [Google Scholar]
  • 29. O’Mahony D, O’Sullivan D, Byrne S, et al. STOPP/START criteria for potentially inappropriate prescribing in older people: version 2. Age Ageing 2015; 44: 213–218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Rudolph JL, Salow MJ, Angelini MC, et al. The anticholinergic risk scale and anticholinergic adverse effects in older persons. Arch Intern Med 2008; 168: 508–513. [DOI] [PubMed] [Google Scholar]
  • 31. Appay V, Sauce D. Immune activation and inflammation in HIV-1 infection: causes and consequences. J Pathol 2008; 214: 231–241. [DOI] [PubMed] [Google Scholar]
  • 32. Sabin CA, Reiss P. Epidemiology of ageing with HIV: what can we learn from cohorts? AIDS Suppl 2017; 31: 121–128. [DOI] [PubMed] [Google Scholar]
  • 33. Calza L, Colangeli V, Manfredi R, et al. Clinical management of dyslipidaemia associated with combination antiretroviral therapy in HIV-infected patients. J Antimicrob Chemother 2016; 71: 1451–1465. [DOI] [PubMed] [Google Scholar]
  • 34. European AIDS Clinical Society (EACS). Guidelines Version 9.1, October 2018, http://www.eacsociety.org/files/2018_guidelines-9.1-english.pdf
  • 35. Mocroft A, Lundgren JD, Ross M, et al. Cumulative and current exposure to potentially nephrotoxic antiretrovirals and development of chronic kidney disease in HIV-positive individuals with a normal baseline estimated glomerular filtration rate: a prospective international cohort study. Lancet HIV 2016; 3: e23–e32. [DOI] [PubMed] [Google Scholar]
  • 36. Aronson JK. Balanced prescribing – principles and challenges. Br J Clin Pharmacol 2012; 74: 566–572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Boyd CM, Lucas GM. Patient-centered care for people living with multimorbidity. Curr Opin HIV AIDS 2014; 9:419–427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Polasek TM, Patel F, Jensen BP, et al. Predicted metabolic drug clearance with increasing adult age. Br J Clin Pharmacol 2013; 75: 1019–1028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Stader F, Siccardi M, Battegay M, et al. Repository describing an aging population to inform physiologically based pharmacokinetic models considering anatomical, physiological, and biological age-dependent changes. Clin Pharmacokinet 2019; 58: 483–501. [DOI] [PubMed] [Google Scholar]
  • 40. Calza L, Colangeli V, Magistrelli E, et al. Plasma trough concentrations of darunavir/ritonavir and raltegravir in older patients with HIV-1 infection. HIV Med 2017; 18: 474–481. [DOI] [PubMed] [Google Scholar]
  • 41. Crawford KW, Spritzler J, Kalayjian RC, et al. Age-related changes in plasma concentrations of the HIV protease inhibitor lopinavir. AIDS Res Hum Retroviruses 2010; 26: 635–643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Winston A, Jose S, Gibbons S, et al. Effects of age on antiretroviral plasma drug concentration in HIV-infected subjects undergoing routine therapeutic drug monitoring. J Antimicrob Chemother 2013; 68:1354–1359. [DOI] [PubMed] [Google Scholar]
  • 43. Elliot ER, Wang X, Singh S, et al. Increased dolutegravir peak concentrations in people living with human immunodeficiency virus aged 60 and over, and analysis of sleep quality and cognition. Clin Infect Dis 2019; 68: 87–95. [DOI] [PubMed] [Google Scholar]
  • 44. Dumond JB, Adams JL, Prince HM, et al. Pharmacokinetics of two common antiretroviral regimens in older HIV-infected patients: a pilot study. HIV Med 2013; 14: 401–409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Wooten JM. Pharmacotherapy considerations in elderly adults. South Med J 2012; 105: 437–445. [DOI] [PubMed] [Google Scholar]
  • 46. Albrecht S, Ihmsen H, Hering W, et al. The effect of age on the pharmacokinetics and pharmacodynamics of midazolam. Clin Pharmacol Ther 1999; 65: 630–639. [DOI] [PubMed] [Google Scholar]
  • 47. Ruxton K, Woodman RJ, Mangoni AA. Drugs with anticholinergic effects and cognitive impairment, falls and all-cause mortality in older adults: a systematic review and meta-analysis. Br J Clin Pharmacol 2015; 80: 209–220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Jansen PA, Brouwers JR. Clinical pharmacology in old persons. Scientifica (Cairo) 2012; 2012: 723678. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Marzolini C, Back D, Weber R, et al. Ageing with HIV: medication use and risk for potential drug-drug interactions. J Antimicrob Chemother 2011; 66: 2107–2111. [DOI] [PubMed] [Google Scholar]
  • 50. Tseng A, Szadkowski L, Walmsley S, et al. Association of age with polypharmacy and risk of drug interactions with antiretroviral medications in HIV-positive patients. Ann Pharmacother 2013; 47: 1429–1439. [DOI] [PubMed] [Google Scholar]
  • 51. Ranzani A, Oreni L, Agro M, et al. Burden of exposure to potential interactions between antiretroviral and non-antiretroviral medications in a population of HIV-positive patients aged 50 years or older. J Acquir Immune Defic Syndr 2018; 78: 193–201. [DOI] [PubMed] [Google Scholar]
  • 52. Tannenbaum C, Johnell K. Managing therapeutic competition in patients with heart failure, lower urinary tract symptoms and incontinence. Drugs Aging 2014; 31: 93–101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Casado JL, Santiuste C, Vazquez M, et al. Bone mineral density decline according to renal tubular dysfunction and phosphaturia in tenofovir-exposed HIV-infected patients. AIDS 2016; 30: 1423–1431. [DOI] [PubMed] [Google Scholar]
  • 54. Wenger N, Mean M, Castioni J, et al. Allocation of internal medicine resident time in a Swiss hospital: a time and motion study of day and evening shifts. Ann Intern Med 2017; 166: 579–586. [DOI] [PubMed] [Google Scholar]
  • 55. Tarn DM, Paterniti DA, Kravitz RL, et al. How much time does it take to prescribe a new medication ? Patient Educ Couns 2008; 72: 311–319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. De Craen AJ, Vickers AJ, Tijssen JG, et al. Number-needed-to-treat and placebo- controlled trials. Lancet 1998; 351: 310. [DOI] [PubMed] [Google Scholar]

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