• Article highlight
  • Article tables
  • Article images

Article Metrics




Downlaod Files

   


Article Access statistics

Viewed: 585

PDF Downloaded: 562


Get Permission Mark, Patel, and Patel: Identification of potentially inappropriate medications used in elder patients attending outpatient departments using Beers 2015 criteria and comparing the same with 2012 criteria


Introduction

In India, the elderly accounted for 6.7% (57 million) of the total population in 1991 and is expected to increase to more than 10% (approximately 140 million) by 2021.1 Older individuals are at a higher risk of developing drug-related adverse events because of age-related changes in drug pharmacokinetics and pharmacodynamics and reduced organ reserve capacity 2. Furthermore, age-related physiological alterations and coexisting diverse underlying diseases contribute towards serious adverse drug interaction and toxicity.3 Therefore, it is vital for the healthcare providers to be aware of the limitations of prescribing certain medications to the elderly.

PIMs are drugs identified through expert panel review when given in elderly can cause more harm than benefits.4 PIMs can cause lots of problems like adverse drug reactions, drug-drug interactions and morbidity.5, 6 Inappropriate medication prescribing in older patients has become a public health concern due to its high prevalence. 7 A list of PIMs was developed and first published by Beers and colleagues for nursing home residents in 1991. 4 Subsequently, the BC is made by American Geriatric Society (AGS) and it is indented for better use of medications in older patients. It is an explicit list of PIMs that should be avoided in older adults in general and with certain diseases or syndromes in which certain drugs need to be prescribed at a reduced dosage or use with caution.8

The modifications in the 2015 update were not as extensive as those of the previous update (2012);5 the following two major criteria were added in 2015 update: 1) drugs for which dose adjustment is required based on reduced kidney function and 2) clinically important drug–drug interactions 6.With the increasing use of the BC as a quality-of-care measure, a need exists to strengthen the predictive validity of criteria in all health care settings. 9

Various risk factors may be associated with encounter of PIMs. One of the major risk factor may be polypharmacy.10 Polypharmacy refers to the use of a large number (five or more) of medications in a single prescription. 11

Our study was inspired by Chinese study12 that compared these two criteria in hospitalized elder patients. To our knowledge, very few studies have compared the 2012 and 2015 versions to detect PIMs and lack of Indian data motivated us to do this present study with objectives of 1) to assess the prevalence of PIMs in Outpatients using the Beers 2015 and 2012 criteria 2) to compare performance of two versions in detection of PIMs.

Materials and Methods

This Prospective cross sectional study was conducted at tertiary care teaching hospital in India. Geriatric patients aged 65 years and above of either sex attending out patients departments were enrolled between October 2018 and October2019 after taking their consent. Patients without any medications were excluded. The study protocol was approved by the institutional Ethics Committee. Data including age, gender, primary diagnosis, prescribed drugs, dosages and duration, serum creatinine were collected from prescriptions and were entered in Case record form . The estimated glomerular filtration rate (eGFR) was calculated by serum creatinine using the modified, abbreviated Modification of Diet in Renal Disease equations 13. The 2015 and 2012 BC were adopted to determine the use of PIMs in the study.

Statistical analysis

All analyses were conducted using Microsoft Excel 2010 version. A chi squared test was applied to compare dichotomous variables between groups. The chi-squared test and kappa test were used to evaluate the differences of prevalence and accordance of the two criteria, respectively. Value of P less than 0.05 was considered statistically significant.

Results

Data of total 306 participants aged 65 years or older were scrutinized. The average age was 69.43± 5.47 years (range 65–93 years) and 185 (60.46%) patients were male. On an average each patient was prescribed 5.04± 2.44 drugs (range: 1–13) and total 1542 medications were used. Out of the total study population, 37.58 % patients belonged to medicine department followed by orthopedics department 22.55 % and dermatology department 15.7 %.

According to the Beers 2015 criteria, our study identified 97 patients (31.7%) using 125 PIMs (1.29±0.68PIMs per patient). Among 97 PIMs users, 79 patients have only one PIM in their Prescription while 18 patients have ≥2 PIMs with highest 4 PIM in single prescription. The most frequent PIMs were anticholinergic and pain medications. Diuretics were most commonly prescribed drugs which should be used with caution. (Table 1)

Comparison of Beers 2015 versus 2012 Criteria

A total of 90(29.4%) patients were identified using 106 PIMs (1.18±0.44PIMs per patient) according to the Beers 2012 criteria. Among 90 PIMs users, 76 patients have only one PIM in their Prescription while 14 patients have ≥2 PIMs with highest 3 PIMs in single prescription. Changes of PIMs (includes addition of diuretics used with caution, drug-drug interactions and drugs avoided with reduced kidney function) in 2015 BC since 2012 BC as shown in table 2. BC 2015 detected more patients with PIMs use within our sample than BC 2012 but not significantly (P=0.5985) as per chi square test. A kappa test showed good accordance among the previous 2012 and updated 2015 criteria (kappa =0.93, P<0.001).Table 3 showed age and gender was not associated with use of PIMs. Polypharamacy was significantly associated with use of PIMs as per both criteria. (P<0.05)

Table 1

PIMs according to the Beers 2015 criteria (n=97)

PIMs should be avoided independent of diagnosis or condition n=84 %
Anticholinergic Drugs Pheniramine 17 20.2
Chlorpheniramine 11 13.1
Dicyclomine 8 9.5
Hyoscine 2 2.4
Trihexyphenidyl 2 2.4
Pain medications Chlorzoxazone 20 23.8
Methocarbamol 3 3.6
brain and spinal cord Lorazepam 8 9.5
clonazepam 4 4.8
Quetiapine 3 3.6
GIT Liquid paraffin 4 4.8
CVS Drugs Clonidine 1 1.2
Digoxin 1 1.2
PIMs due to drug-disease or drug syndrome interactions that may exacerbate the disease or syndrome n=6 %
Dementia or cognitive impairment Quetiapine 1 16.7
Chronic Kidney Diseases Aspirin 2 33.3
Chronic Kidney Diseases Paracetamol 3 50.0
PIMs to be Used with Caution n=30 %
Furosemide 11 36.7
olanzapine 6 20
spironolactone 6 20
Escitalopram 4 13.3
fluoxetine 2 6.67
carbamazepine 1 3.33
Clinically important Drug -Drug interactions that should be avoided n=3 %
fluoxetine +olanzapine +clonazepam 2 66.7
Risperidone + Trihexyphenidyl 1 33.3
Medications to be avoided or reduce dose with decreased kidney function n=7 %
Tramadol 3 42.9
Pregabalin 2 28.6
Ranitidine 2 28.6

[i] Total exceeds 100% as there were patients who were prescribed more than one PIMs.

Table 2

Medication changes in Beers 2015 criteria since Beers 2012 criteria

Added PIMs Number of patients
Diuretics used with caution furosemide and spironolactone 17
Important Drug -Drug interactions to be avoided three or more CNS active drugs and anticholineric-anticholinergic 3
Drugs to be avoided or reduce dose with decreased kidney function tramadol,pregabalin and ranitidine 7
Table 3

Clinical characteristics of PIMs users as per 2015 and 2012 Beers Criteria (n=306)

Characteristics Beers 2015 Criteria p-value Beers 2012 Criteria p-value
PIM Non-PIM PIM Non-PIM
Age, years (mean ± SD) 69.14±5.46 69.57 ± 5.50 0.66 69.13 ± 5.47 69.56 ± 5.5 0.6585
Gender
Male,N (%) 57(18.6) 128(41.8) 52(17) 133(43.5)
Female,N (%) 40(13.1) 81(26.5) 0.7738 38(12.4) 83(27.1) 0.6237
Prescribed medications
≥5, N (%) 71(23.2) 105(34.3) 64(20.9) 112(36.6)
<5, N (%) 26(8.5) 104(34) 0.0003 26(8.5) 104(34) 0.0029
Odds Ratio(95% CI) 2.705(1.600-4.572) 2.286(1.348-3.877)

[i] CI-Confidence Interval, PIM-potentially inappropriate medication, SD-standard deviation

Discussion

The present study compared the prevalence of PIMs between two versions of the Beers criteria in elderly outpatients in India. The major findings were as follows: 1) relatively high prevalence rate of PIMs were detected, 31.7 and 29.4%, by the 2015 and 2012 BC, respectively; 2) Anticholinergic drugs (mostly first generation antihistamines) and pain medications (mostly skeletal muscle relaxants) are more frequently prescribed PIMs as per both criteria; 3) the prevalence of PIMs use identified according to the previous criteria and the updated criteria exhibited minor differences; 4) according to both criteria, PIM use was significantly associated with polypharmacy.

Prevalence of PIMs varies between 11.66%. 14 to 66%.15 in other studies done in India according to 2015 BC. Our study detected 31.7% prevalence of PIMs as per 2015 BC.

First generation antihistamines have untoward side effects like decreased reaction time and anticholinergic effects particularly notable in the elderly patient. 16 Anticholinergic side effects (e.g. cognitive impairment, mydriasis, flushing, dry mouth, constipation, and urinary retention) are more prevalent in elderly due to altered anticholinergic sensitivity by ageing. 17, 18 Therefore, anticholinergic drugs are generally categorized as potentially inappropriate medications (PIMs) 17.Similarly antihistamines are used as one of the most common PIMs class in the study by Shade MY et al. 19

Pain medications particularly skeletal muscle relaxants were used commonly in elderly patients.

In a nationwide case-control study shows the use of skeletal muscle relaxants was associated with a 40% increase in fracture risk (adjusted odds ratio = 1.40; 95% CI, 1.15–1.72, P < 0.001). 20

Similar to other agents in this class, chlorzoxazone can cause CNS side effects like dizziness, drowsiness, and light-headedness, and use in the older population is generally not recommended. 21

Diuretics should be used with caution is a new addition in 2015 BC. Hyponatremia caused by loop diureticscan prevent the body’s cells from functioning correctly, especially in the brain so monitoring of sodium level closely when starting or changing dosages in older adults is recommended. 6

Potassium sparing diuretics like Spironolactone can cause hyperkalemia which is a severe and even cause fatal consequence22 similar to our study, another Indian study15 showed most common ‘drug to be used with caution’ prescribed was furosemide followed by mannitol as per 2015 BC.

Two new criteria were added in update of BC 2015 which added more medications to be PIMs thus had detected more PIMs and even 4 PIMs in a single patient in our study.

1) Drug-drug interaction: Simultaneous use of two anticholinergic drugs can leads to increase risk of cognitive decline and thus to be avoided. Avoid use of total 3 or more CNS active drugs which can leads to increase risk of falls and fractures in older adults. 6

2) Drugs to be avoided in reduced kidney function: spironolactone which can cause hyperkalemia should be avoided while reduce dose of ranitidine (cause mental status changes) and pregabalin (cause CNS adverse effects) is recommended.6

New 2015 criteria detects more patients with PIMs in Chinese study12 which was done on hospitalized patients but in our outpatient study there was no such statistically significant difference in detection of PIMs. This may be because drugs like PPI, NSAIDs used for a brief period in outpatient department and will not be considered as PIMs.

Kappa value 0.92 indicates high degree of agreement of PIMs detection made by both criteria which is similar to Chinese study12 data (kappa>0.7).

Age and gender was not found to be a predictor of getting a PIM in our study. So encounter of PIMs is irrespective of age and sex.Age and gender was not associated with PIMs in study done in Saudi Arabia. 23

In our study, significant factor associated with PIMs was polypharmacy. A strong association between polypharmacy and PIMs has been reported in many other studies detecting PIMs as per both criteria. 12, 23, 24, 25 This may be due to multiple comorbidities tend the elderly patients to visit multiple specialties and thus are at higher risk of prescribing various medicines especially from the list of BC.

Limitations of this study was only out patients department were included and they were not representative of older, community-dwelling patients and the consequences of PIMs were not analyzed.

Beers criteria is supported by evidence, still the AGS advises that clinicians must consider multiple factors in prescribing decisions, including using common sense and clinical judgment, understanding that strict adherence to the criteria is not always possible. 26

Conclusion

Our study described a high prevalence of PIMs in older patients attending outpatient department. PIMs defined by both Beers 2012 and 2015 criteria were shown to be associated with polypharmacy. Beers 2015 criteria are not significantly effective in identifying more PIMs than Beers 2012 criteria. The most frequent PIMs class was anticholinergic drugs (mostly first generation antihistamines) and pain medications (mostly skeletal muscle relaxants) according to both criteria.

Source of Funding

None.

Conflict of Interest

None.

References

1 

S Jeyalakshmi S Chakrabarti N Gupta Situation analysis of the elderly in India. Central Statistics Office, Ministry of Statistics and Programme Implementation, Government of India document2011

2 

J. E. Byles R. Heinze B. K. Nair L. Parkinson Medication use among older Australian veterans and war widowsInt Med J20033338891

3 

Steven M. Handler Rollin M. Wright Christine M. Ruby Joseph T. Hanlon Epidemiology of medication-related adverse events in nursing homesAm J Geriatr Pharmacother2006426472

4 

M H Beers J G Ouslander I Rollingher Explicit criteria for determining inappropriate medication use in nursing home residentsArch Intern Med1991151182532

5 

American Geriatrics Society updated beers criteria for potentially inappropriate medication use in older adults: the American Geriatrics Society 2012 Beers Criteria Update Expert PanelJ Am Geriatr Soc2012604616

6 

Christine M. Campanelli American Geriatrics Society 2015 updated Beers criteria for potentially inappropriate medication use in older adultsJ Am Geriatr Soc20156311222746

7 

D M Qato G C Alexander R M Conti M Johnson P Schumm S T Lindau Use of prescription and over-the-counter medications and dietary supplements among older adults in the United StatesJAMA2011300242867

8 

Sara Rongen Cornelis Kramers Denis O'Mahony Ton B. Feuth Marcel G. M. Olde Rikkert Amir I. A. Ahmed Potentially inappropriate prescribing in older patients admitted to psychiatric hospitalInt J Geriatr Psychiatry201631213745

9 

Elda Jano Rajender R Aparasu Healthcare Outcomes Associated with Beers' Criteria: A Systematic ReviewAnn Pharmacother200741343847

10 

Klejda Hudhra Marta García-Caballos Eloisa Casado-Fernandez Besnik Jucja Driton Shabani Aurora Bueno-Cavanillas Polypharmacy and potentially inappropriate prescriptions identified by Beers and STOPP criteria in co-morbid older patients at hospital dischargeJ Eval Clin Pract201622218993

11 

Nashwa Masnoon Sepehr Shakib Lisa Kalisch-Ellett Gillian E. Caughey What is polypharmacy? A systematic review of definitionsBMC Geriatr2017171230

12 

X Zhang S Zhou K Pan X Li X Zhao Y Zhou Potentially inappropriate medications in hospitalized older patients: a cross-sectional study using the Beers 2015 criteria versus the 2012 criteriaClin Inter Aging2017121697

13 

A S Levey J P Bosch J B Lewis T Greene N Rogers D Roth A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation.Modification of Diet in Renal Disease Study GroupAnn Intern Med1999130646170

14 

Nader Motallebzadeh Geetha Jayaprakash Elham Mohammadi Evaluation of Rationality of Geriatric Patients’ Prescription Based On Beers Criteria in a Tertiary Care Hospital in IndiaOpen Access Maced J Med Sci2019798791

15 

R S Narvekar N N Bhandare J J Gouveia P N Bhandare Utilization pattern of potentially inappropriate medications in geriatric patients in a tertiary care hospital: A retrospective observational studyJ Clin Diagn Res: JCDR2017114FC04

16 

Updated AGS Beers Criteria® for Potentially Inappropriate Medication Use in Older AdultsJ Am Geriatr Soc201967467494

17 

J G Naples Z A Marcum S Perera Concordance between anticholinergic burden scalesJ Am Geriatr Soc2015631020124

18 

Shelly L. Gray Joseph T. Hanlon Anticholinergic medication use and dementia: latest evidence and clinical implicationsTherAdv Drug Saf20167521724

19 

Marcia Y. Shade Ann M. Berger Claudia Chaperon Gleb Haynatzki Linda Sobeski Bernice Yates Factors Associated With Potentially Inappropriate Medication Use in Rural, Community-Dwelling Older AdultsJ Gerontol Nurs20174392130

20 

Emily P. Peron Zachary A. Marcum Richard Boyce Joseph T. Hanlon Steven M. Handler Year in Review: Medication Mishaps in the ElderlyAm J Geriatr Pharmacother201191110

21 

Chlorzoxazone package insert. Sayreville, New Jersey: Vertical Pharmaceutical2010

22 

E Mulkerrin F H Epstein B A Clark Aldosterone responses to hyperkalemia in healthy elderly humansJ Am Soc Nephrol199565145962

23 

Tariq M. Alhawassi Wafa Alatawi Monira Alwhaibi Prevalence of potentially inappropriate medications use among older adults and risk factors using the 2015 American Geriatrics Society Beers criteriaBMC Geriatr2019191154

24 

A N Bhatt S S Paul S Krishnamoorthy B T Baby A Mathew B R Nair Potentially inappropriate medications prescribed for older persons: A study from two teaching hospitals in Southern IndiaJ Family & Comm Med2019263187

25 

Y S Nam J S Han J Y Kim W K Bae K Lee Prescription of potentially inappropriate medication in Korean older adults based on 2012 Beers Criteria: a cross-sectional population based studyBMC Geriatr2016161118

26 

Michael A. Steinman Judith L. Beizer Catherine E. DuBeau Rosemary D. Laird Nancy E. Lundebjerg Paul Mulhausen How to Use the American Geriatrics Society 2015 Beers Criteria-A Guide for Patients, Clinicians, Health Systems, and PayorsJ Am Geriatr Soc20156312e1e7



jats-html.xsl


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.