1. bookVolume 57 (2018): Issue 3 (September 2018)
Journal Details
License
Format
Journal
eISSN
1854-2476
First Published
29 Jul 2010
Publication timeframe
4 times per year
Languages
English
Open Access

Anticholinergic burden and most common anticholinergic-acting medicines in older general practice patients

Published Online: 21 Jun 2018
Volume & Issue: Volume 57 (2018) - Issue 3 (September 2018)
Page range: 140 - 147
Received: 22 Aug 2017
Accepted: 14 May 2018
Journal Details
License
Format
Journal
eISSN
1854-2476
First Published
29 Jul 2010
Publication timeframe
4 times per year
Languages
English
Introduction

Many older adults suffer from multiple chronic diseases and are commonly prescribed with several medicines for multiple different conditions. This may lead to prescribing of multiple medicines with an anticholinergic burden, both when anticholinergics are prescribed for their anticholinergic effect, as well as for medicines which can cause anticholinergic side effects due to anticholinergic properties but are not strictly classified as anticholinergics (1).

Commonly reported peripheral side effects of anticholinergic medicines include dry mouth, dry eyes, constipation, urinary retention, blurred vision and increased heart rate, while central effects range from dizziness, sedation, confusion and delirium (1,2,3). Multiple studies reported the association between anticholinergic effect on cognitive function (1, 3,4,5), increased risk of delirium (3), dizziness and confusion (6), but also falls (1, 3, 6), hospitalisations (1, 7), and physical function (1, 5, 8), especially in vulnerable populations such as old (1) or patients with Parkinson disease (9).

Older adults are more at risk for anticholinergic side effects than young people because of increased permeability of the blood-brain barrier, decreased drug metabolism and elimination and age-related deficit in central cholinergic transmission (2). Several instruments have been developed and validated to determine the anticholinergic burden, among others are Anticholinergic Risk Scale (ARS) (6), Anticholinergic Drug Scale (ADS) (10), Anticholinergic Cognitive Burden Scale (ACB) (11) and Drug Burden Index (DBI) (12). However, there is a poor agreement between different anticholinergic scales in terms of medicines included and the results are, therefore, difficult to compare (13, 14). Several studies, using different instruments, found the prevalence of exposure to anticholinergic medicines between 9% to 55.9% (5, 14, 15). A comparison of scales in several studies showed that instruments differed in sensitivity and specificity because of their differences in identification criteria for anticholinergics. Despite this, most scores were associated with adverse clinical outcomes of interest (5, 14). The strongest predictor was DBI – Anticholinergic Component (ACH) Score (14).

Recently, Duran et al., used the existing anticholinergic risk scales to develop a list of anticholinergic medicines that occur in most scales and have confirmed anticholinergic properties as an attempt to standardise measurement of anticholinergic drug burden (16).

In most European countries, general practitioners prescribe the majority of medicines patients receive, and have a comprehensive overview of medical therapy of their patients, which contributes to a high-quality care, measured by process-quality indicators (17, 18).However, there have been few studies about the quality of prescription in older adults, in general practice in Slovenia.

Our aim was to explore anticholinergic burden in older general practice patients in Slovenia and determine the most commonly used medicines and prescribing patterns contributing towards anticholinergic burden.

Methods
Design and Setting

A cross-sectional study was conducted in 30 Slovenian general practices spread throughout the country. All statistical regions except Pomurje were represented. The study was a sub-part of the main trial that has been described elsewhere (19).

Study Population

Study population consisted of 622 older general practice patients. Participating physicians selected one working day in advance and recruited all eligible patients who visited their practice on that day. If they recruited less than 20 patients, they could select another day until they recruited 20 to 30 patients. The eligible patients who were over 65 years of age, were receiving at least one prescribed medicine in regular therapy and were cognitively able to answer questionnaires and give informed consent to the study. Patients with life expectancy of less than 1 year (in terminal stages of diseases) were excluded. One of the patient withdrew consent after initially participating in the study and was not included in the analysis.

Data Collection

Patients, who fulfilled inclusion criteria and signed informed consent, filled out a questionnaire on demographic and other health data. For the purposes of the main trial, a computer application was developed into which participating physicians entered enrolled patients’ medicines.

As a basis for measuring anticholinergic burden, we used the list of anticholinergic medicines created by Duran et al., which is a uniform list of anticholinergic medicines for which either agreement on anticholinergic properties exists, or a reputed reference source confirms the anticholinergic properties. The list consists of 100 medicines which are further divided into low-potency anticholinergics and high-potency anticholinergics and assigned score 1 (low-potency) or 2 (high potency). Duran’s scale was developed from seven previously-used instruments as an attempt to standardise the list of anticholinergic medicines, in response to poor agreement between different published scales (16). Further, we calculated DBI-ACH score based on medicines contained in Duran’s scale. DBI-ACH measures the exposure to anticholinergic medicines and considers the daily dosage of medicine (12).

The application checked entered medicines against medicines on Duran’s list of anticholinergic scale and calculated the burden score for every patient by adding together the assigned scores for each medicine from the list. Patients with a score of at least 2 were considered to have a high anticholinergic burden.

Basic patient data was described by standard descriptive methods. All data were entered into Microsoft Excel 2007 and transferred and analysed with IBM SPSS Version 24.0 (SPSS Inc., Chicago, IL, USA).

Results

Data was collected for 622 patients from 30 different general practices from all regions in Slovenia, while 15 patients (2.4%) refused to participate in the study. Characteristics of the population are presented in Table 1.

Descriptive statistics.

 Characteristic
Gender N (%)
• Male266 (42.8%)
• Female356 (57.2%)
Average age in years (±SD)77.2 (±6.2)
• Range (years)65-101
Number of prescribed medicines N (±SD)5.6 (±2.9)
Presence of polypharmacy (5 or more medicines)374 (60.1%)

At least one medicine with anticholinergic properties was present in 78 patients (12.5%). Anticholinergic burden by score is presented in Table 2.

Anticholinergic burden in patients with anticholinergic medicines (N=78).

 Anticholinergic burden (score)N (%) of patients with anticholinergic medicines
154 (69.2%)
219 (24.4%)
34 (5.1%)
41 (1.3%)

DBI was calculated for all patients receiving anticholinergic medicines. 10 patients had DBI≥1, while the rest had DBI between 0.11 and 0.94. Patients with DBI<1 had an anticholinergic burden score of 1 or 2, while patients with DBI≥1 had an anticholinergic burden score between 2 to 4. The highest DBI score was 1.83, in the patient with anticholinergic burden score of 4.

Of the 100 medicines on the list, only 24 medicines occurred in our population. They are shown in Table 3.

List of anticholinergic medicines in patients with an anticholinergic burden.

 Medicine (ATC code)N (%) of patients with anticholinergic burden N=78% of all enrolled patients N=622Anticholinergic burden
Psychotropic medicines (N)41 (52.6%)6.6%
  Diazepam (N05BA01)10 (12.8%)1.6%1
  Quetiapine (N05AH04)9 (11.5%)1.4%1
Paroxetine (N06AB05)7 (9.0%)1.1%1
Amitriptilyne (N06AA09)6 (7.7%)1.0%2
Mirtazapine (N06AX11)4 (5.1%)0.6%1
  Citalopram (N06AB04)4 (5.1%)0.6%1
  Fentanyl (N02AB03)2 (2.6%)0.3%1
Olanzapine (N05AH03)2 (2.6%)0.3%1
Carbamazepine (N03AF01)2 (2.6%)0.3%1
Fluoxetine (N06AB03)2 (2.6%)0.3%1
Risperidone (N05AX08)2 (2.6%)0.3%1
Promazine (N05AA03)1 (1.3%)0.2%1
Clozapine (N05AH02)1 (1.3%)0.2%2
Lithim (N05AN01)1 (1.3%)0.2%1
Trazodone (N06AX05)1 (1.3%)0.2%1
Alimentary tract and metabolism medicines (A)11 (14.1%)1.8%
  Ranitidine (A02BA02)8 (10.3%)1.3%1
Domperidone (A03FA03)3 (3.8%)0.5%1
Respiratory system and allergy medicines (R)11 (14.1%)1.8%
Loratadine (R06AX13)4 (5.1%)0.6%1
  Cetirizine (R06AE07)3 (3.8%)0.5%1
  Fexofenadine (R06AX26)2 (2.6%)0.3%1
  Theophylline (R03DA04)2 (2.6%)0.3%1
Musculo-skeletal system medicines (M)6 (7.7%)1.0%
Tizanidine (M03BX02)6 (7.7.%)1.0%2
Genitourinary system medicines (G)5 (6.4%)0.8%
Darifenacin (G04BD10)3 (3.8%)0.5%2
Tolterodine (G04BD07)2 (2.6%)0.3%2
Cardiovascular system medicines (C)1 (1.3%)0.2%
Disopyramide (C01BA03)1 (1.3%)0.2%1

The patient who scored 4 (DBI 1.83) was taking mirtazapine (score 1), darifenacin (score 2), and promazine (score 1) concurrently. Of ATC categories, most commonly prescribed medicines were psychotropic medicines, representing 12 medicines from 21 occurring in our population, and occurring in more than half of the patients that had at least one anticholinergic-acting medicine prescribed.

We also closely examined the prescription of most common medicines on our list. Prescribing doses and regimens are shown in Table 4.

Dosing regimen for some of the most common anticholinergic medicines.

 MedicineDose and frequencyN of cases
Diazepam2mg daily2
5 mg daily2
5mg once to three times weekly5
5 mg twice monthly1
Quetiapine25 mg once daily7
100 mg once daily1
400 mg once daily1
Ranitidine150 mg once daily8
300 mg once daily1
Amitriptyline25 mg once daily4
25 mg two to three times daily2

Discussion

In our study, the prevalence of elderly general practice visitors taking anticholinergic medicines was low (12.5%). Most patients were taking only one medicine with low-potency anticholinergic effect. The most common were psychotropic medicines. Study population included patients from all parts of Slovenia apart from Pomurje and could, therefore, represent Slovenian population of older general practice visitors with chronic diseases.

A study in a cohort of community-dwelling older men showed the prevalence of exposure to anticholinergic medicine use between 13% and 39% using different instruments, while Salahudeen et al., found the prevalence of 22.8% to 55.9% depending on the scale which was used (14, 15), and Mayer et al., found prevalence of 9% to 31% in a cohort of general practice patients older than 50 years (5). Given these findings, the prevalence of anticholinergic medicines in our study was comparatively low. One of the reasons may be the instrument we used, which has been shown to have relatively high specificity in comparison to other scales (5). In addition, the elderly people participating in our study may have received different medicines, especially psychotropic ones, in comparison with a nursing home or hospitalised population.

Presence of anticholinergic medicines in elderly people is considered potentially inappropriate and may, therefore, be considered as one of the indicators of quality prescription. Additionally, one of the indicators could be the proportion of patients with a higher anticholinergic burden, which in our study was below 4% of all observed patients for anticholinergic burden score, and even lower when the daily dosage of medicines was considered (only 1.6% patients had DBI 1 or higher). Comparing these numbers with other research is unfortunately difficult because of the poor agreement of various anticholinergic scales among themselves, which is about how great a burden individual medicine presents. Currently, there is no standard determining of still acceptable level of presence of anticholinergic medicines, such as in the case of prescribing of antibiotics (20), which makes it hard to judge how the prevalence of anticholinergics relates to the quality of care.

Despite the low prevalence, it is worrying that not only are the psychotropic medicines still the most common anticholinergic medicines present in the study population, but that the most commonly prescribed medicines are medicines that are inadvisable in elderly people according to several different sets of prescribing criteria (21, 22). This is especially important because multimorbid elderly people, who are already exposed to polypharmacy, are more likely to suffer from psychiatric disorders, like depression, anxiety or sleep disorders (23,24,25). Diazepam, a long-acting benzodiazepine, was present in 1.6% of patients in our study. In majority of the cases, the physicians prescribed it to be taken several times per week, not every day. However, due to a longer half-time in elderly people, this may not suffice to avoid adverse effects since the effects can linger to the next day even when taken a night before (26). In the second place was quetiapine, which raises concerns because of its common off-label use (27). It is often used for the treatment of insomnia in elderly, though evidence for such use is scarce (28) and there are concerns about adverse effects (29). Indeed, in all but two cases in our study, quetiapine was prescribed in a low dose of 25mg daily, which likely indicates just such a use. Similar concerns have been raised about other atypical antipsychotics on our list (30). Both quetiapine and risperidone are among the most commonly-used antipsychotics in Slovenia (31). In the third place, present in 1.1% of general practice patients, was paroxetine, which could be replaced by another SSRI inhibitor with weaker anticholinergic properties. Similarly, amitriptyline is not only inadvisable in elderly people, but was, in our study, also used in low doses probably ineffective for treatment of depression. Interestingly, all but one prescriptions of amitriptyline in our study were prescribed by just one physician.

Apart from psychotropic medicines, most commonly occurring in our study were medicines from ATC group A, chiefly ranitidine, and antihistaminic medicines from ATC group R. It is likely ranitidine could be replaced by a proton-pump inhibiting medicine either continuously or even as needed (32). In a similar vein, there are antihistaminic medicines available that are not listed as having anticholinergic properties and could be exchanged for antihistaminic present on our list, thus decreasing the calculated anticholinergic burden.

Finally, less than 1% of our patients regularly received antimuscarinic medicine from ATC group G, which are commonly used to treat symptoms of urinary incontinence. Evidence does not encourage the use of these medicines in elderly, as the benefit is limited and there is concern about the side effects of medicines (33). In an Australian study, bladder instability was the most common problem that led to the prescription of a high potency anticholinergic medicine (34). In Slovenia, insurance rules demand that the first prescription of these medicines comes from urologists or gynaecologists, which may have contributed to decreased availability and therefore, lower prescription of these medicines (35).

It is likely that at least some of the anticholinergic medicines were prescribed by clinical specialists attending to the patients, for example, most atypical antipsychotics and bladder antimuscarinic medicines. In that case, general practitioners might be unwilling to change the prescription against a clinical specialist recommendation despite being aware of the possible anticholinergic side effects. However, in context of patient-oriented care, general practitioner should together with patient, weigh risks and benefits of medicines contributing towards anticholinergic burden and decide on continuing or discontinuing recommended medicines.

Altogether, we estimate that the majority of implicated medicines could probably be replaced by medicines with similar effect or from the same or similar class that is not present on Duran’s anticholinergic list. This means that despite the low prevalence of anticholinergic medicines on our population, quality of prescribing in our cohort of general practice patients in regard to medicines with anticholinergic properties could be improved. However, as a caution, though anticholinergic medicines have been shown to correlate with a number of poor outcomes in elderly (falls, delirium, cognitive impairment, physical function, constipation, confusion and so on), the evidence for benefit in discontinuing anticholinergics is, as yet, scarce (36). In practice, as always, in addition to awareness of an anticholinergic burden of a particular patient’s prescriptions and possibility of anticholinergic side effects, all physicians caring for older patients should use clinical judgment and trade-off of risks and benefits to guide prescribing and deprescribing in older adults.

There are some limitations to our study. We used Duran’s scale, which does not consider the doses of anticholinergic medicines. The advantage of Duran’s scale is the precise specification of included medicines, including ATC code. Because of this standardisation, it has been used several times since its development (5, 37). The scale has been found to have a high specificity and to have a good correlation with a cognitive and functional decline and falls in observed population (5). Of the 100 medicines on Duran’s list, however, 37 are not registered in Slovenia and could not be prescribed (33), which may have contributed to the low result. We excluded patients with severe dementia who were unable to answer the questionnaire and terminally ill patients with life expectancy of less than 1 year. Both might be the reason for the underestimation of anticholinergic burden since anticholinergic medicines are often used in these conditions. We only included older adults with at least one regularly taken medicine, so perfectly healthy elderly people who might lead to a decrease of prevalence of an anticholinergic burden were not in the study population. We did not consider the over-the-counter medicines that the patients could buy themselves; however, few medicines with anticholinergic properties are available over-the-counter in Slovenia, and as the national insurance covers medicines for a great majority of patients, the proportion of medicines bought over the counter that could influence our results is likely very small.

Conclusion

Although prevalence of anticholinergic medicines in our population was low, the examination of individual medicines indicates that it would be possible to decrease it further. The majority of anticholinergic burden was contributed by psychotropic medicines, several of which are inadvisable in elderly people and could be replaced by other medicines. Most common and likely to be possible medicines to avoid or replace by other medicines were diazepam, quetiapine, ranitidine, paroxetine and amitriptyline. General practitioners should avoid prescribing these medicines, particularly when a patient is already taking another medicine with possible anticholinergic effect and should be aware of the possibility of anticholinergic side effects in older people taking anticholinergic medicines when these cannot be avoided.

Dosing regimen for some of the most common anticholinergic medicines.

 MedicineDose and frequencyN of cases
Diazepam2mg daily2
5 mg daily2
5mg once to three times weekly5
5 mg twice monthly1
Quetiapine25 mg once daily7
100 mg once daily1
400 mg once daily1
Ranitidine150 mg once daily8
300 mg once daily1
Amitriptyline25 mg once daily4
25 mg two to three times daily2

Descriptive statistics.

 Characteristic
Gender N (%)
• Male266 (42.8%)
• Female356 (57.2%)
Average age in years (±SD)77.2 (±6.2)
• Range (years)65-101
Number of prescribed medicines N (±SD)5.6 (±2.9)
Presence of polypharmacy (5 or more medicines)374 (60.1%)

Anticholinergic burden in patients with anticholinergic medicines (N=78).

 Anticholinergic burden (score)N (%) of patients with anticholinergic medicines
154 (69.2%)
219 (24.4%)
34 (5.1%)
41 (1.3%)

List of anticholinergic medicines in patients with an anticholinergic burden.

 Medicine (ATC code)N (%) of patients with anticholinergic burden N=78% of all enrolled patients N=622Anticholinergic burden
Psychotropic medicines (N)41 (52.6%)6.6%
  Diazepam (N05BA01)10 (12.8%)1.6%1
  Quetiapine (N05AH04)9 (11.5%)1.4%1
Paroxetine (N06AB05)7 (9.0%)1.1%1
Amitriptilyne (N06AA09)6 (7.7%)1.0%2
Mirtazapine (N06AX11)4 (5.1%)0.6%1
  Citalopram (N06AB04)4 (5.1%)0.6%1
  Fentanyl (N02AB03)2 (2.6%)0.3%1
Olanzapine (N05AH03)2 (2.6%)0.3%1
Carbamazepine (N03AF01)2 (2.6%)0.3%1
Fluoxetine (N06AB03)2 (2.6%)0.3%1
Risperidone (N05AX08)2 (2.6%)0.3%1
Promazine (N05AA03)1 (1.3%)0.2%1
Clozapine (N05AH02)1 (1.3%)0.2%2
Lithim (N05AN01)1 (1.3%)0.2%1
Trazodone (N06AX05)1 (1.3%)0.2%1
Alimentary tract and metabolism medicines (A)11 (14.1%)1.8%
  Ranitidine (A02BA02)8 (10.3%)1.3%1
Domperidone (A03FA03)3 (3.8%)0.5%1
Respiratory system and allergy medicines (R)11 (14.1%)1.8%
Loratadine (R06AX13)4 (5.1%)0.6%1
  Cetirizine (R06AE07)3 (3.8%)0.5%1
  Fexofenadine (R06AX26)2 (2.6%)0.3%1
  Theophylline (R03DA04)2 (2.6%)0.3%1
Musculo-skeletal system medicines (M)6 (7.7%)1.0%
Tizanidine (M03BX02)6 (7.7.%)1.0%2
Genitourinary system medicines (G)5 (6.4%)0.8%
Darifenacin (G04BD10)3 (3.8%)0.5%2
Tolterodine (G04BD07)2 (2.6%)0.3%2
Cardiovascular system medicines (C)1 (1.3%)0.2%
Disopyramide (C01BA03)1 (1.3%)0.2%1

Cardwell K, Hughes CM, Ryan C. The association between anticholinergic medication burden and health related outcomes in the ‘oldest old’: a systematic review of the literature. Drugs Aging. 2015;32:835-48. 10.1007/s40266-015-0310-9.CardwellKHughesCMRyanC.The association between anticholinergic medication burden and health related outcomes in the ‘oldest old’: a systematic review of the literatureDrugs Aging2015328354810.1007/s40266-015-0310-926442862Open DOISearch in Google Scholar

Cancelli I, Beltrame M, Gigli GL, Valente M. Drugs with anticholinergic properties: cognitive and neurophsychiatric side-effects in elderly patients. Neurol Sci. 2009;30:87-92. 10.1007/s10072-009-0033-y.CancelliIBeltrameMGigliGLValenteM.Drugs with anticholinergic properties: cognitive and neurophsychiatric side-effects in elderly patientsNeurol Sci.200930879210.1007/s10072-009-0033-y19229475Open DOISearch in Google Scholar

Fox C, Smith T, Maidment I, Chan W, Bua N, Myint PK, et al. Effect of medications with anti-cholinergic properties on cognitive function, delirium, physical function and mortality: a systematic review. Age Ageing. 2014;43: 604-15. 10.1093/ageing/afu096.FoxCSmithTMaidmentIChanWBuaNMyintPKEffect of medications with anti-cholinergic properties on cognitive function, delirium, physical function and mortality: a systematic reviewAge Ageing2014436041510.1093/ageing/afu09625038833Open DOISearch in Google Scholar

Jamsen KM, Gnjidic D, Hilmer SN, Ilomäki J, Le Couteur DG, Blyth F, et al. Drug Burden Index and change in cognition over time in community-dwelling older men: the CHAMP study. Ann Med. 2017;49:157-64. 10.1080/07853890.2016.1252053.JamsenKMGnjidicDHilmerSNIlomäkiJLe CouteurDGBlythFDrug Burden Index and change in cognition over time in community-dwelling older men: the CHAMP studyAnn Med.2017491576410.1080/07853890.2016.125205327763767Open DOISearch in Google Scholar

Mayer T, Meid AD, Saum KU, Brenner H, Schöttker B, Seidlin HM, et al. Comparison of nine instruments to calculate anticholinergic load in a large cohort of older outpatients: association with cognitive and functional decline, falls and use of laxatives. Am J Geriatr Psychiatry. 2017;25:531-40. 10.1016/j.jagp.2017.01.009.MayerTMeidADSaumKUBrennerHSchöttkerBSeidlinHMComparison of nine instruments to calculate anticholinergic load in a large cohort of older outpatients: association with cognitive and functional decline, falls and use of laxativesAm J Geriatr Psychiatry2017255314010.1016/j.jagp.2017.01.00928233606Open DOISearch in Google Scholar

Rudolph JL, Salow MJ, Angelini MC, McGlinchey RE. The anticholinergic risk scale and anticholinergic adverse effects in older persons. Arch Intern Med. 2008;168:503-13. 10.1001/archinternmed.2007.106.RudolphJLSalowMJAngeliniMCMcGlincheyRE.The anticholinergic risk scale and anticholinergic adverse effects in older personsArch Intern Med.20081685031310.1001/archinternmed.2007.10618332297Open DOISearch in Google Scholar

Lönnroos E, Gnjidic D, Hilmer DN, Bell JS, Kautiainen H, Sulkava R, et al. Drug Burden Index and hospitalization among community-dwelling older people. Drugs Aging. 2012;29:395-404. 10.2165/11631420-000000000-00000.LönnroosEGnjidicDHilmerDNBellJSKautiainenHSulkavaRDrug Burden Index and hospitalization among community-dwelling older peopleDrugs Aging20122939540410.2165/11631420-000000000-0000022530705Open DOISearch in Google Scholar

Boccardi V, Baroni M, Paolacci L, Ercolani S, Longo A, Giordano M, et al. Anticholinergic burden and functional status in older people with cognitive impairment: results from the Regal project. J Nutr Health Aging. 2017;21:389-96. 10.1007/s12603-016-0787-x.BoccardiVBaroniMPaolacciLErcolaniSLongoAGiordanoMAnticholinergic burden and functional status in older people with cognitive impairment: results from the Regal projectJ Nutr Health Aging2017213899610.1007/s12603-016-0787-x28346565Open DOISearch in Google Scholar

Crispo JA, Willis AW, Thibault DP, Fortin Y, Hays HD, McNair DS, et al. Associations between anticholinergic burden and adverse health outcomes in Parkinson disease. PLoS One. 2016;11:e0150621. 10.1371/journal.pone.0150621.CrispoJAWillisAWThibaultDPFortinYHaysHDMcNairDSAssociations between anticholinergic burden and adverse health outcomes in Parkinson diseasePLoS One201611e015062110.1371/journal.pone.0150621477737526939130Open DOISearch in Google Scholar

Carnahan RM, Lund BC, Perry PJ, Pollock BG, Culp KR. The Anticholinergic Drug Scale as a measure of drug-related anticholinergic burden: associations with serum anticholinergic activity. J Clin Pharmacol. 2006;46:1481-6.CarnahanRMLundBCPerryPJPollockBGCulpKR.The Anticholinergic Drug Scale as a measure of drug-related anticholinergic burden: associations with serum anticholinergic activityJ Clin Pharmacol.2006461481610.1177/009127000629212617101747Search in Google Scholar

Boustani M, Campbell N, Munger S, Maidment I, Fox C. Impact of anticholinergics on the aging brain: a review and practical application. Aging Health. 2008;4:311-20. 10.2217/1745509X.4.3.311.BoustaniMCampbellNMungerSMaidmentIFoxC.Impact of anticholinergics on the aging brain: a review and practical applicationAging Health200843112010.2217/1745509X.4.3.311Open DOISearch in Google Scholar

Hilmer SN, Mager DE, Simonsick EM, Cao Y, Lung SM, Windham BG, et al. A drug burden index to define the functional burden of medications in older people. Arch Intern Med. 2007;167:781-7.HilmerSNMagerDESimonsickEMCaoYLungSMWindhamBGA drug burden index to define the functional burden of medications in older peopleArch Intern Med.2007167781710.1001/archinte.167.8.78117452540Search in Google Scholar

Lertxundi U, Domingo-Echaburu S, Hernandez R, Peral J, Medrano J. Expert-based drug lists to measure anticholinergic burden: similar names, different results. Psychogeriatrics. 2013;13:17-24. 10.1111/j.1479-8301.2012.00418.x.LertxundiUDomingo-EchaburuSHernandezRPeralJMedranoJ.Expert-based drug lists to measure anticholinergic burden: similar names, different resultsPsychogeriatrics201313172410.1111/j.1479-8301.2012.00418.x23551407Open DOISearch in Google Scholar

Salahudeen MS, Hilmer SN, Nishtala PS. Comparison of anticholinergic risk scales and associations with adverse health outcomes in older people. J Am Geriatr Soc. 2015;63:85-90. 10.1111/jgs.13206.SalahudeenMSHilmerSNNishtalaPS.Comparison of anticholinergic risk scales and associations with adverse health outcomes in older peopleJ Am Geriatr Soc.201563859010.1111/jgs.1320625597560Open DOISearch in Google Scholar

Pont LG, Nielen JTH, McLachlan AJ, Gnjidic D, Chan L, Cumming RG, et al. Measuring anticholinergic drug exposure in older community dwelling Australian men: a comparison of four different measures. Br J Clin Pharmacol. 2015;80:1169-75. 10.1111/bcp.12670.PontLGNielenJTHMcLachlanAJGnjidicDChanLCummingRGMeasuring anticholinergic drug exposure in older community dwelling Australian men: a comparison of four different measuresBr J Clin Pharmacol.20158011697510.1111/bcp.12670463118925923961Open DOISearch in Google Scholar

Durán CE, Azermai M, Vander Stichele RH. Systematic review of anticholinergic risk scales in older adults. Eur J Clin Pharmacol. 2013;69:1485-96. 10.1007/s00228-013-1499-3.DuránCEAzermaiMVander SticheleRH.Systematic review of anticholinergic risk scales in older adultsEur J Clin Pharmacol.20136914859610.1007/s00228-013-1499-323529548Open DOISearch in Google Scholar

Fleetcroft R, Cookson R, Steel N, Howe A. Correlation between prescribing quality and pharmaceutical costs in English primary care: national cross-sectional analysis. Br J Gen Pract. 2011;61:e556-64. 10.3399/bjgp11X593839.FleetcroftRCooksonRSteelNHoweA.Correlation between prescribing quality and pharmaceutical costs in English primary care: national cross-sectional analysisBr J Gen Pract.201161e5566410.3399/bjgp11X593839316217822152735Open DOISearch in Google Scholar

Pavlič DR, Sever M, Klemenc-Ketiš Z, Švab I. Process quality indicators in family medicine: results of an international comparison. BMC Fam Pract. 2015;16:172. 10.1186/s12875-015-0386-7.PavličDRSeverMKlemenc-KetišZŠvabI.Process quality indicators in family medicine: results of an international comparisonBMC Fam Pract.20151617210.1186/s12875-015-0386-7466750026631138Open DOISearch in Google Scholar

Selic P, Cedilnik Gorup E, Gorup S, Petek Ster M, Rifel J, Klemenc Ketis Z. The effects of a web application and medical monitoring on the quality of medication, adverse drug events and adherence in the elderly living at home: a protocol of the study. Mater Sociomed. 2016;28:432-6. 10.5455/msm.2016.28.432-436.SelicPCedilnik GorupEGorupSPetek SterMRifelJKlemenc KetisZ.The effects of a web application and medical monitoring on the quality of medication, adverse drug events and adherence in the elderly living at home: a protocol of the studyMater Sociomed.201628432610.5455/msm.2016.28.432-436523965728144194Open DOISearch in Google Scholar

Tyrstrup M, van der Velden A, Engstrom S, Goderis G, Molstad S, Verheij T, et al. Antibiotic prescribing in relation to diagnoses and consultation rates in Belgium, the Netherlands and Sweden: use of European quality indicators. Scand J Prim Health Care. 2017;35: 10-8. 10.1080/02813432.2017.1288680.TyrstrupMvan der VeldenAEngstromSGoderisGMolstadSVerheijTAntibiotic prescribing in relation to diagnoses and consultation rates in Belgiumthe Netherlands and Swedenuse of European quality indicatorsScand J Prim Health Care20173510810.1080/02813432.2017.1288680536141328277045Open DOISearch in Google Scholar

O’Mahony D, O’Sullivan D, Byrne S, O’Connor MN, Ryan C, Gallagher P. STOPP/START criteria for potentially inappropriate prescribing in older people: version 2. Age Ageing. 2015;44:213-8. 10.1093/ageing/afu145.O’MahonyDO’SullivanDByrneSO’ConnorMNRyanCGallagherP.STOPP/START criteria for potentially inappropriate prescribing in older people: version 2Age Ageing201544213810.1093/ageing/afu145433972625324330Open DOISearch in Google Scholar

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;60:616-31. 10.1111/j.1532-5415.2012.03923.x.American Geriatrics Society 2012 Beers Criteria Update Expert PanelAmerican Geriatrics Society updated Beers Criteria for potentially inappropriate medication use in older adultsJ Am Geriatr Soc.2012606163110.1111/j.1532-5415.2012.03923.x357167722376048Open DOISearch in Google Scholar

Selič P. Cross-sectional study exploring factors associated with depression in elderly living at home. In: Skela-Savič B, Hvalič Touzery S, editors. Continuous development of nursing in society and its contribution to health promotion: proceedings of lectures with peer review. Jesenice: Angela Boškin Faculty of Health Care, 2017:189-96.SeličP.Cross-sectional study exploring factors associated with depression in elderly living at homeSkela-SavičBHvalič TouzerySContinuous development of nursing in society and its contribution to health promotion: proceedings of lectures with peer reviewJeseniceAngela Boškin Faculty of Health Care201718996Search in Google Scholar

Klemenc-Ketis Z, Krizmaric M, Kersnik J. Age- and gender-specific prevalence of self-reported symptoms in adults. Cent Eur J Public Health. 2013;21:160-4.Klemenc-KetisZKrizmaricMKersnikJ.Age- and gender-specific prevalence of self-reported symptoms in adultsCent Eur J Public Health201321160410.21101/cejph.a382224344543Search in Google Scholar

Pivec N, Serdinšek T, Klemenc-Ketiš Z, Kersnik J. Prevalence of disease symptoms in Slovenian adult population and factors associated with their prevalence. Zdr Varst. 2014;53:262-9. 10.2478/sjph-2014-0028.PivecNSerdinšekTKlemenc-KetišZKersnikJ.Prevalence of disease symptoms in Slovenian adult population and factors associated with their prevalenceZdr Varst.201453262910.2478/sjph-2014-0028Open DOISearch in Google Scholar

Lader M. Benzodiazepine harm: how can it be reduced? Br J Clin Pharmacol. 2012;77:295-301. 10.1111/j.1365-2125.2012.04418.x.LaderM.Benzodiazepine harm: how can it be reduced?Br J Clin Pharmacol.20127729530110.1111/j.1365-2125.2012.04418.x401401522882333Open DOISearch in Google Scholar

Gjerden P, Bramness JG, Tvete IF, Slørdal L. The antipsychotic agent quetiapine is increasingly not used as such: dispensed prescriptions in Norway 2004-2015. Eur J Clin Pharmacol. 2017;73:1173-9. 10.1007/s00228-017-2281-8.GjerdenPBramnessJGTveteIFSlørdalL.The antipsychotic agent quetiapine is increasingly not used as such: dispensed prescriptions in Norway 2004-2015Eur J Clin Pharmacol.2017731173910.1007/s00228-017-2281-828623386Open DOISearch in Google Scholar

Anderson SL, VandeGriend JP. Quetiapine for insomnia: a review of the literature. Am J Health Syst Pharm. 2014;71:394-402. 10.2146/ajhp130221.AndersonSLVandeGriendJP.Quetiapine for insomnia: a review of the literatureAm J Health Syst Pharm.20147139440210.2146/ajhp13022124534594Open DOISearch in Google Scholar

Brett J. Concerns about quetiapine. Aust Prescr. 2015;38: 95-7.BrettJ.Concerns about quetiapineAust Prescr.20153895710.18773/austprescr.2015.032465396626648630Search in Google Scholar

Maglione M, Maher AR, Hu J, Wang Z, Shanman R, Shekelle PG, et al. Off-label use of atypical antipsychotics: an update [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2011. Report No: 11-EHC087-EF.MaglioneMMaherARHuJWangZShanmanRShekellePGOff-label use of atypical antipsychotics: an update [Internet]Rockville (MD)Agency for Healthcare Research and Quality (US)2011Report No: 11-EHC087-EFSearch in Google Scholar

Štuhec M, Petrica D, Toni J. The cost and effects of atypical antipsychotic agents in patients with schizophrenia in Slovenia: a cost effectiveness study. Zdr Varst. 2013;52:27-38. 10.2478/sjph-2013-0004.ŠtuhecMPetricaDToniJ.The cost and effects of atypical antipsychotic agents in patients with schizophrenia in Slovenia: a cost effectiveness studyZdr Varst.201352273810.2478/sjph-2013-0004Open DOISearch in Google Scholar

Hansen AN, Bergheim R, Fagertun H, Lund H, Wiklund I, Moum B. Long-term management of patients with symptoms of gastro-oesophageal reflux disease – a Norwegian randomised prospective study comparing the effects of esomeprazole and ranitidine treatment strategies on health-related quality of life in a general practitioners setting. Int J Clin Pract. 2006;60:15-22.HansenANBergheimRFagertunHLundHWiklundIMoumB.Long-term management of patients with symptoms of gastro-oesophageal reflux disease – a Norwegian randomised prospective study comparing the effects of esomeprazole and ranitidine treatment strategies on health-related quality of life in a general practitioners settingInt J Clin Pract.200660152210.1111/j.1368-5031.2006.00768.x16409423Search in Google Scholar

Aharony L, De Cock J, Nuotio MS, Pedone C, Rifel J, VandeWalle N, et al. Consensus document on the management of urinary incontinence in older people. Eur Geriatr Med. 2017;8:210-5. 10.1016/j.eurger.2017.04.002.AharonyLDe CockJNuotioMSPedoneCRifelJVandeWalleNConsensus document on the management of urinary incontinence in older peopleEur Geriatr Med.20178210510.1016/j.eurger.2017.04.002Open DOISearch in Google Scholar

Magin PJ, Morgan S, Tapley A, McCowan C, Parkinson L, Henderson KM, et al. Anticholinergic medicines in an older primary care population: a cross-sectional analysis of medicines’ levels of anticholinergic activity and clinical information. J Clin Pharm Ther. 2016;41:486-92. 10.1111/jcpt.12413.MaginPJMorganSTapleyAMcCowanCParkinsonLHendersonKMAnticholinergic medicines in an older primary care population: a cross-sectional analysis of medicines’ levels of anticholinergic activity and clinical informationJ Clin Pharm Ther.2016414869210.1111/jcpt.1241327349795Open DOISearch in Google Scholar

Central Drug Database of Slovenia. Accessed August 16th, 2017, at: http://www.cbz.si/cbz/bazazdr2.nsf/Search/$searchForm?SearchView.Central Drug Database of SloveniaAccessedAugust 16th2017athttp://www.cbz.si/cbz/bazazdr2.nsf/Search/$searchForm?SearchViewSearch in Google Scholar

Collamati A, Martone AM, Poscia A, Brandi V, Celi M, Marzetti E, et al. Anticholinergic drugs and negative outcomes in the older population: from biological plausibility to clinical evidence. Aging Clin Exp Res. 2016;28:25-35. 10.1007/s40520-015-0359-7.CollamatiAMartoneAMPosciaABrandiVCeliMMarzettiEAnticholinergic drugs and negative outcomes in the older population: from biological plausibility to clinical evidenceAging Clin Exp Res.201628253510.1007/s40520-015-0359-725930085Open DOISearch in Google Scholar

Lertxundi U, Isla A, Solinis MA, Domingo-Echaburu S, Hernandez R, Peral-Aguirregoitia J, et al. Anticholinergic burden in Parkinson’s disease inpatients. Eur J Clin Pharmacol. 2015;71:1271-7. 10.1007/s00228-015-1919-7.LertxundiUIslaASolinisMADomingo-EchaburuSHernandezRPeral-AguirregoitiaJAnticholinergic burden in Parkinson’s disease inpatientsEur J Clin Pharmacol.2015711271710.1007/s00228-015-1919-726254777Open DOISearch in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo