Literature DB >> 30735544

Potentially inappropriate medications according to STOPP-J criteria and risks of hospitalization and mortality in elderly patients receiving home-based medical services.

Chi-Hsien Huang1,2,3, Hiroyuki Umegaki1, Yuuki Watanabe4, Hiroko Kamitani1, Atushi Asai5, Shigeru Kanda6, Hideki Nomura7, Masafumi Kuzuya1.   

Abstract

BACKGROUND: Although potentially inappropriate medications (PIMs) have been linked to poor health outcomes, country-specific PIM criteria have not been compared. Thus, we compared the identification of PIMs between the Screening Tool for Older Person's Appropriate Prescriptions for Japanese (STOPP-J) and the 2015 American Geriatrics Society Beers Criteria in elderly patients receiving home-based medical services.
METHODS: A 5-year prospective cohort study was conducted with 196 patients receiving home-based medical services. Data were collected using questionnaires and chart reviews and included detailed information on prescription medication. STOPP-J and the Beers Criteria were used to categorize PIM and non-PIM recipients. All-cause mortality and first hospitalization were compared using a multivariate Cox regression model.
RESULTS: PIMs were detected in 132 patients (67.3%) by STOPP-J and in 141 patients (71.9%) by the Beers Criteria, and the mean numbers of PIMs were 1.3 ± 1.3 and 1.2 ± 1.1, respectively. The three most frequently prescribed STOPP-J PIMs were hypnotics (26.8%), diuretics (25.6%), and NSAIDs (12.6%), compared with proton pump inhibitors (PPIs) (29.8%), hypnotics (26%), and NSAIDs (8.1%) according to the Beers Criteria. STOPP-J PIMs were associated with all-cause mortality (HR 3.01, 95% CI 1.37-6.64) and hospitalization (HR 1.91, 95% CI 1.17-3.09); neither was associated with Beers Criteria PIMs. Using a modified Beers Criteria (excluding PPIs), PIMs were correlated with first hospitalization (HR 1.91, 95% CI 1.17-3.09).
CONCLUSIONS: PIMs categorized by STOPP-J are associated with hospitalization and mortality in Japanese patients receiving home-based medical services. PPIs, commonly used for acid-related diseases, do not seem to have deleterious effects on health outcomes. Country-oriented, medication-specific criteria would be of considerable clinical utility.

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Year:  2019        PMID: 30735544      PMCID: PMC6368320          DOI: 10.1371/journal.pone.0211947

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Multiple comorbidities with medication burden are common in the elderly population [1]. In addition, the concurrent use of potentially inappropriate medications (PIMs) has been associated with adverse drug reactions, disability, mortality, hospitalization, institutionalization to aged care facilities, and high health costs [2-4]. PIM use is not uncommon. A nationwide study conducted in Denmark showed that 29% of non-demented and 38.1% of demented community-dwelling individuals used PIMs according to Danish criteria [5]. Another large retrospective cohort study performed on an isolated island in Korea revealed that 88% of the community-dwelling elderly filled prescriptions for PIMs according to 2015 American Geriatrics Society (AGS) Beers Criteria [6]. For old-aged hospitalized patients, a systematic review determined that the prevalence of PIMs for dementia and non-dementia patients ranged from 53.2% to 89.8% with the Beers Criteria and from 30.4% to 97.1% with the Screening Tool of Older Person’s Prescriptions (STOPP) criteria [7]. A systematic review found that 16–54% of nursing home residents used PIMs according to the Beers Criteria, Holmes, or Healthcare Effectiveness Data and Information Set (HEDIS) criteria, with 9–27% of all participants using antipsychotics and benzodiazepine [1, 8–10]. Although the prevalence of PIM use varies widely in acute and chronic care settings, PIMs are worthy of further investigation and management. Several hospital-based studies have revealed the harmful effects of PIMs categorized according to the Beers Criteria, including functional impairment and increased length of hospital stay [11, 12]. The above-mentioned population-based retrospective study in Korea demonstrated that older community-dwelling patients taking at least one PIM (Beers Criteria) were at greater risk of hospitalization (OR 2.25, 95% CI 2.09–2.44) [6]. Screening and early detection of PIMs are therefore mandatory for the provision of quality-based medical care. Several externally validated society guidelines and national evidence-based screening tools are now available, including the Beers Criteria from the US, and STOPP and EU(7)-PIM from Europe [13-15]. However, drug availability and classification systems are not uniform across countries [16], and there is limited overlap between drug indication and contraindication criteria for specific diseases. A systematic review revealed that only 4 categories of PIMs (44 drugs in total) were listed in common in 25 out of 36 available PIM criteria [16]. Accordingly, country-specific PIM criteria are required for daily clinical practice and continuity of care. As a result, the Japan Geriatrics Society developed “Guidelines for Medical Treatment and its Safety in the Elderly” in 2005 and updated them in 2016 to the latest version, the so-called Screening Tool for Older Person’s Appropriate Prescriptions for Japanese (STOPP-J) [17]. STOPP-J is a clinical practice guideline and consensus statement for the prescription of drugs to the Japanese elderly [17]. A working group conducted a systematic review based on clinical questions and keywords and decided the level of recommendation following the GRADE approach (Grading of Recommendations Assessment, Development, and Evaluation) [18]. After external reviews by other medical specialty societies, professional organizations, and comments from the public, the final version of the guidelines comprised two lists: List of drugs to be prescribed with special caution and List of drugs to consider starting. The former list, which corresponds to the 2015 Beers Criteria from the USA and to the STOPP criteria from Europe, was used to identify PIMs in the present study. PIMs have been found to correlate with health outcomes including death and hospitalization in community-dwelling older persons [19, 20], nursing home residents [21, 22], dementia patients [23], hospitalized patients [24-26], and patients requiring palliative care [27]. Nevertheless, the harmful effects of PIMs have seldom been investigated in community-dwelling disabled patients receiving home care. Moreover, the association with health-related outcomes has not yet been investigated using the newly developed PIM criteria, STOPP-J. The aim of this study was to explore the association between PIM use, as determined by STOPP-J, and health-related outcomes in patients receiving home-based medical services in Japan. To better understand the need for country-specific PIM criteria, we also included leading international PIM criteria for comparison. However, because most medicines mentioned in the STOPP criteria are not available in Japan [13], the 2015 Beers Criteria and STOPP-J were used to identify the impact of PIMs on hospitalization and mortality rates in the present study.

Methods

Study population

We established a prospective cohort study from December 2012 to December 2017 known as the Observational study of Nagoya Elderly with HOme Medical Care (ONE HOME study) [28]. Under the Japanese national health insurance and long-term care insurance systems, home-based medical services are available for disabled patients who have difficulty reaching a clinic or hospital [29]. Insurance covers regular visits (daily up to once every 2 weeks depending on medical needs) from physicians, nurses, care managers, social workers, occupational therapists, physical therapists, and dieticians. Care managers hold a care provider meeting to discuss care plans among multidisciplinary team members every 4 to 6 months. In this study, we recruited consenting patients older than 45 years who were receiving such home-based medical services from seven satellite hospitals and clinics of Nagoya University Hospital in Aichi Prefecture. A total of 196 patients were enrolled and the study was approved by the Institutional Review Board of Nagoya University Graduate School of Medicine. Written informed consent was obtained from all participants in the study.

Data collection

Visiting nurses who were trained and certified in the initial stage of research conducted comprehensive face-to-face interviews and in-home assessments with the patients. After registration was completed, a trained nurse also reviewed hospital and clinic charts twice a year during the follow-up period to collect data on medical history, including medication lists, hospitalization and institutionalization, and mortality. Visiting physicians and nurses maintained all charts. To ensure the accuracy of drug information, visiting pharmacists and nurses checked the patients’ home drug diaries. Baseline profiles including age and sex were obtained. Medical history was gauged using the Charlson Comorbidity Index (CCI), which considers disease number and severity [30]. Daily functional status was assessed with the Independence Scale of the Disabled Elderly (ISDE) [31] and the Barthel Index. In terms of the ISDE, all participants were categorized into three groups according to the clinical judgment of visiting physicians: independent (Rank J), pre-bedridden (Rank A), and bedridden (Rank B & C) [31]. The Barthel Index reflects ability in basic activities of daily living (0 points indicating complete dependence to 100 points indicating complete independence). In addition, the Mini Nutritional Assessment-Short Form (MNA-SF), which is used to assess food intake, weight loss, mobility, psychological stress or acute disease, neuropsychological problems, and body mass index, was administered to investigate nutritional status [32]. Patients were stratified by total MNA-SF score as having malnutrition (≤ 7 points), being at risk of malnutrition (8–11 points), or having a normal nutritional status (12–14 points) [33]. The trained nurse reviewed hospital and clinic medical records and compared them against the home drug diary to trace current drug lists at the registration date. The following data were recorded: category, name, number, dose, route, and administration time of all medications taken, including over-the-counter drugs and drugs prescribed by other medical facilities. Only long-term (> 2 weeks) medicines were candidates and topical medicines and “when required” (pro re nata) medicines were excluded. Patients were deemed as having polypharmacy if they took ≥ 5 different medications [34].

PIM criteria

PIMs were assessed using the 2015 AGS Beers Criteria (general recommendation, independent of diagnosis) [15] and STOPP-J (considering the clinical indication) [17]. The same trained nurse categorized PIMs into 23 and 19 groups, respectively. Because many medicines listed in the Beers Criteria are not available in Japan, we mainly set the classification categories using STOPP-J. The STOPP-J categories are antipsychotics (first and second generation), hypnotics (barbiturates, benzodiazepines, non-benzodiazepine receptor agonists), antidepressants, sulpiride, antiparkinson drugs, steroids, antithrombotic drugs (antiplatelet drugs, anticoagulants), digitalis, diuretics, β-blockers, α-blockers, first-generation H1 receptor antagonists, H2 receptor antagonists, antiemetic drugs, laxatives, oral antidiabetic drugs, insulin, overactive bladder medications, and NSAIDs. Besides the aforementioned categories, the Beers Criteria include four additional classes: proton pump inhibitors (PPIs), anticonvulsants, dihydropyridine calcium channel blockers, and non-dihydropyridine calcium channel blockers. The active ingredients, brand names, and generic names of medicines were independently scrutinized by another pharmacist to ensure classification accuracy. Disagreements between the nurse and the pharmacist were resolved by a geriatrician.

Follow-up

All participants were investigated throughout the study period aside from those who were institutionalized for more than 6 months or who died within the first year after recruitment. For participants who were admitted to hospital or facilities for less than 6 months, the follow-up visits were restarted after discharge.

Statistical analysis

Baseline profile data including age, sex, household status, marital status, CCI, number of medications, functional status, and nutritional status are described as counts and percentages. The periods after enrollment to first hospitalization and death during follow-up were estimated for patients with or without PIMs categorized according to the Beers Criteria and STOPP-J. A multivariate Cox regression model was used to test for the association between PIMs, mortality, and hospitalization after adjustment for age, sex, CCI, Barthel Index, MNA-SF, and polypharmacy. All statistical analyses were conducted using SPSS for Windows software version 22.0 (IBM Corp., Armonk, NY, USA). A two-tailed p value < 0.05 was considered statistically significant.

Results

Population characteristics

A total of 196 patients were enrolled, with a mean age of 80.2 ± 10.4 years. The baseline profiles including household and marital status are shown in Table 1. Most patients were male (56.9%), married (56.8%), and lived with their spouse (88.6%). Patients, all of whom were judged to need home-based medical services because of disability, had multiple comorbidities (CCI score: 3.0 ± 2.2), low functional status (Barthel Index score: 48.4 ± 34.1), and malnutrition (MNA-SF score: 7.7 ± 3.0). The number of medications prescribed was 5.7 ± 3.3, and 121 patients (63.4%) regularly took more than five medicines daily. Hospitalization and death were observed in 100 (50.8%) and 47 (23.9%) patients, respectively. The period from enrollment to first hospitalization was 481.5 ± 450.9 days; the period from enrollment to death was 611.3 ± 499.6 days. At the end of the follow-up period, 47 patients (24%) had died and 100 patients (51%) had been admitted to hospital at least once.
Table 1

Baseline characteristics of disabled participants receiving home-based medical services in Japan.

VariableTotal (N = 196)
Age, years (mean ± SD)80.2 ± 10.4
Age group, n (%)
    45–65 years18 (9.2%)
    66–85 years112 (57.1%)
    ≥ 86 years66 (33.7%)
Sex, n (%)
    Male112 (56.9%)
    Female84 (43.1%)
Household status, n (%)
    Alone22 (11.4%)
    Not alone174 (88.6%)
Marital status, n (%)
    Married111 (56.8%)
    Widow/widower65 (33.5%)
    Divorced7 (3.8%)
    Single11 (5.9%)
CCI, scores (mean ± SD)3.0 ± 2.2
Medications, n (mean ± SD)5.69 ± 3.34
Polypharmacy (≥5 medications), n (%)
    No70 (36.6%)
    Yes121 (63.4%)
Barthel index, score (mean ± SD)48.4 ± 34.1
MNA-SF, scores (mean ± SD)7.7 ± 3.0
    Malnourished, n (%)66 (33.5%)
    At risk of malnutrition, n (%)75 (38.1%)
    Normal nutritional status, n (%)17 (8.6%)
Serum albumin level, g/dL (mean ± SD)3.5 ± 0.6

PIMs according to STOPP-J and the Beers Criteria

PIMs were detected in 132 patients (67.3%) by the STOPP-J and in 141 patients (71.9%) by the Beers Criteria, and the mean numbers of PIMs were 1.3 ± 1.3 and 1.2 ± 1.1, respectively (Fig 1). The proportions of patients using PIMs categorized by age and sex did not differ significantly between the groups (Figs 1 and 2). The three most frequently prescribed STOPP-J PIMs were hypnotics (26.8%), diuretics (25.6%), and NSAIDs (12.6%) (Fig 3A), compared with PPIs (29.8%), hypnotics (26%), and NSAIDs (8.1%) according to the Beers Criteria (Fig 3B).
Fig 1

Proportion of PIM use by age.

Fig 2

Proportion of PIM use by sex.

Fig 3

PIM categories according to the STOPP-J (A) and Beers Criteria (B).

PIM categories according to the STOPP-J (A) and Beers Criteria (B).

Association between mortality and PIM use

The Cox regression plot of all-cause mortality in patients with and without PIM use according to STOPP-J and the Beers Criteria is shown in Fig 4. In the multivariate Cox regression model, PIM use determined to STOPP-J had a significantly higher cumulative risk of all-cause mortality (HR 3.01, 95% CI 1.37–6.64) than those without PIM use after adjustment for covariates (Table 2). However, PIM use according to the Beers Criteria was not associated with all-cause mortality (Table 2). Multiple comorbidities, represented by CCI scores in our study, were associated with all-cause mortality (STOPP-J: HR 1.17, 95% CI 1.02–1.34; Beers Criteria: HR 1.17, 95% CI 1.02–1.35) (Table 2). In addition, a negative correlation was found between nutritional status measured by MNA-SF score and all-cause mortality (STOPP-J: HR 0.79, 95% CI 0.69–0.89; Beers Criteria: HR 0.81, 95% CI 0.72–0.92) (Table 2).
Fig 4

Cumulative risk of all-cause mortality for patients with PIM use (solid line) and without PIM use (dotted line) according to the STOPP-J (A) and Beers Criteria (B).

Table 2

Risk factors for all-cause mortality in a multivariate Cox regression model.

VariableAll-cause mortality
STOPP-J PIMsBeers Criteria PIMs
95% CI95% CI
HRLower limitUpper limitp valueHRLower limitUpper limitp value
Age (years)1.030.991.060.131.031.001.070.09
Sex
    Female (versus male)0.730.371.410.340.840.431.640.60
CCI score1.171.021.340.031.171.021.350.03
Barthel Index score1.000.991.010.511.000.991.010.65
MNA-SF score0.790.690.89< 0.0010.810.720.92< 0.001
Polypharmacy (≥5 medications)0.720.371.390.331.050.532.090.88
PIM use
    No0.000.00
    Yes3.011.376.640.011.180.562.490.67

CCI, Charlson Comorbidity Index; Barthel Index of activities of daily living; MNA-SF, Mini Nutritional Assessment-Short Form.

Cumulative risk of all-cause mortality for patients with PIM use (solid line) and without PIM use (dotted line) according to the STOPP-J (A) and Beers Criteria (B). CCI, Charlson Comorbidity Index; Barthel Index of activities of daily living; MNA-SF, Mini Nutritional Assessment-Short Form.

Association between hospitalization and PIM use

The Cox regression plot of the risk of hospitalization in patients with and without PIM use according to STOPP-J and the Beers Criteria is shown in Fig 5. Similar to the results for all-cause mortality, only PIM use categorized by STOPP-J was associated with risk of hospitalization (HR 1.70, 95% CI 1.01–2.84) (Table 3); no association was found for PIM use categorized by the Beers Criteria. Neither multiple comorbidities nor malnutrition was correlated with risk of hospitalization.
Fig 5

Cumulative risk of first hospitalization for patients with PIM use (solid line) and without PIM use (dotted line) according to the STOPP-J (A) and Beers Criteria (B).

Table 3

Risk factors for first hospitalization in a multivariate Cox regression model.

VariableFirst hospitalization
STOPP-J PIMsBeers Criteria PIMs
95% CI95% CI
HRLower limitUpper limitp valueHRLower limitUpper limitp value
Age (years)0.990.971.010.210.990.971.010.39
Sex
    Female (versus male)1.110.691.780.661.130.711.810.61
CCI score1.040.941.140.451.030.931.140.58
Barthel Index score1.000.991.010.601.000.991.010.66
MNA-SF score0.940.871.020.160.950.871.030.19
Polypharmacy (≥ 5 medications)0.930.571.500.761.050.651.700.85
PIMs
    No
    Yes1.701.012.840.0451.330.772.310.31

CCI, Charlson Comorbidity Index; Barthel Index of activities of daily living; MNA-SF, Mini Nutritional Assessment-Short Form.

Cumulative risk of first hospitalization for patients with PIM use (solid line) and without PIM use (dotted line) according to the STOPP-J (A) and Beers Criteria (B). CCI, Charlson Comorbidity Index; Barthel Index of activities of daily living; MNA-SF, Mini Nutritional Assessment-Short Form.

Results of subgroup analysis

Because the major discriminant between the two criteria was PPIs, we performed a subgroup analysis using the modified Beers Criteria, which excludes PPIs from the original version. The results showed an association between the modified Beers Criteria and hospitalization (HR 1.91, 95% CI 1.17–3.09) but not mortality after controlling for age, sex, comorbidity, functional status, nutritional status, and polypharmacy (Table 4). On the other hand, because diuretics (loop diuretics and aldosterone antagonists), which are considered appropriate for patients with congestive heart failure (CHF), only appear in STOPP-J and not in the Beers Criteria, we further excluded patients with CHF for subgroup analysis. STOPP-J was still associated with mortality (HR 2.60, 95% CI 1.15–5.89) but not with hospitalization in patients without CHF (Table 4).
Table 4

Mortality and first hospitalization by different PIM criteria and patient subgroups.

PIM userMortality*First hospitalization*
95% CI95% CI
HRLower limitUpper limitp valueHRLower limitUpper limitp value
According to Beers Criteria1.180.562.490.671.330.772.310.31
According to Modified Beers Criteria (excluding PPIs)1.030.531.980.931.911.173.090.01
According to STOPP-J3.011.376.640.011.701.012.840.045
According to STOPP-J (excluding patients with CHF)2.601.155.890.021.700.982.940.06

CHF, congestive heart failure.

*Adjusted for age, sex, Charlson Comorbidity Index, Barthel Index, MNA-SF, and polypharmacy.

CHF, congestive heart failure. *Adjusted for age, sex, Charlson Comorbidity Index, Barthel Index, MNA-SF, and polypharmacy.

Discussion

Because the consensus guidelines on PIMs in Japan (STOPP-J) were only released in 2016 [17], no other studies have compared them with the Beers Criteria to explore the relationship between PIMs and health outcomes in patients receiving home-based medical services. Although PIMs categorized by the Beers Criteria have been associated with admission, length of stay, and hospitalization [35], there is some discrepancy in drug classification and drug availability between the two sets of criteria. To the best of our knowledge, our study is the first to use STOPP-J to evaluate its ability to predict mortality and hospitalization rates in patients receiving home-based medical services. PIMs, which are widespread in the elderly, were identified in more than 60% of patients in our study. This incidence in our home care setting was higher than that in community living centers [10] and comparable with that in aged care facilities [36, 37]. Consistent with the literature [10, 38], women were more likely and old-old individuals (age > 85 years) were less likely to be exposed to PIMs than men and young-old individuals (age 65–85 years). Therefore, young-old women, who are susceptible to potentially inappropriate prescribing, need periodic medication review as a high priority. In this study, we compared an explicit international validated tool, the Beers Criteria, with STOPP-J, the recently updated Japanese version of STOPP. The incidence of PIMs according to STOPP-J is lower than that according to the Beers Criteria regardless of age and sex. Common PIMs listed in the two sets of criteria are hypnotics, NSAIDs, and antipsychotics, which are considered three of the most commonly prescribed PIMs [8, 39]. However, there are some discrepant categories in the initial ranks of common PIMs: PPIs, diuretics, and oral antidiabetic drugs (OADs). PPIs are mainly used for gastric acid-related symptoms and diseases and possess superior efficacy and tolerability to histamine receptor antagonists and antacids. Nevertheless, PPIs increase the risks of fractures and Clostridium difficile infection [40, 41]. Therefore, both STOPP and the Beers Criteria include PPIs in their PIM lists [13, 15]. However, to prevent relapse and to prolong the remission period of gastroesophageal reflux disease [42], the Task Force of the Japanese Geriatric Society, which developed STOPP-J, chose to remove PPIs from the list. For this reason, PPIs, in the first rank of PIMs in the Beers Criteria, did not appear in the PIM list in STOPP-J that we used in the present study. As for diuretics, loop diuretics and aldosterone antagonists are recommended to be limited to a lower dose by STOPP-J without consideration of indication or duration of use due to their frequent adverse effects, such as orthostatic hypotension, falls, and electrolyte imbalance, particularly hyperkalemia [17]. However, the Beers Criteria consider diuretics to be PIMs only when drug-drug interactions are encountered. For example, peripheral alpha-1 blockers are recommended not to be combined with loop diuretics due to an increased risk of urinary incontinence in women [15]. Additionally, angiotensin-converting enzyme inhibitors and potassium-sparing diuretics should not be combined except in the case of diagnosed systolic heart failure due to a higher risk of hyperkalemia. In short, due to aging-related homeostatic compromise, diuretics should be cautiously used as needed and maintained as low as possible in the elderly [43]. OADs are another class of drugs that may substantially contribute to harmful effects, including asymptomatic hypoglycemia and even coma [44]. Only sulfonylureas, which are notorious for higher risk of severe hypoglycemia, are included in the Beers Criteria. However, this category of drugs is nowadays seldom prescribed to elderly patients with diabetes [45]. On the other hand, aside from dipeptidyl peptidase-4 inhibitors, STOPP-J includes sulfonylureas, biguanides, thiazolidine derivatives, α-glucosidase inhibitors, and SGLT2 (sodium-glucose co-transporter-2) inhibitors due to the potential adverse effects of severe hypoglycemia, lactic acidosis, ileus, diarrhea, constipation, flatulence, dehydration, and urogenital infection [17]. The broader range of OADs accounted for the higher proportion of OADs in PIMs detected by STOPP-J than by the Beers Criteria in our sample. To further clarify the effects of PIMs according to STOPP-J compared with those according to the Beers Criteria in patients receiving home-based medical services, we conducted an outcome-based evaluation using mortality and hospitalization. In Japan, one large-scale crossover longitudinal study using STOPP-J found that PIM use was correlated with a 1.5- to 4-fold increased risk of unexpected hospitalization [24]. In the present study, for disabled patients receiving home-based medical services, STOPP-J discriminated the risk of hospitalization and all-cause mortality among PIM and non-PIM users, unlike the Beers Criteria. These findings suggest that STOPP-J is a greater predictive modality for health outcomes than the Beers Criteria in community-dwelling disabled Japanese. Additionally, the relationship between the modified Beers Criteria and the risk of hospitalization implied that PPIs may not have deleterious effects on health outcomes in community-dwelling disabled Japanese. Hence, country-tailored criteria might play an important role in facilitating and promoting the clinical application of such criteria. On the other hand, because diuretics can contribute to several complications, including fractures, falls, and hyperkalemia [46, 47], STOPP-J includes loop diuretics and aldosterone antagonists regardless of indication. However, in light of the recommended use of diuretics in patients with CHF in international guidelines [48, 49], there is a need to clarify the influence of this disease. In our non-CHF patients, PIM use according to STOPP-J was associated with high mortality. Although there is a discrepancy regarding decisions about diuretics between STOPP-J and the Beers Criteria, STOPP-J still provides mortality prediction. This study has some limitations. First, drug compliance was not investigated thoroughly in the study. Patients needing home-based medical services are physically disabled and the inevitable polypharmacy would probably reduce adherence to medication. According to three large cohorts in Europe, adherence to medication in the elderly population is suboptimal for antihyperlipidemic, antiosteoporotic, and oral antidiabetic drugs [50]. Notably, these drugs are demonstrated to reduce cardiovascular events, hospitalization, and mortality [51-53]. In our study, however, leftover drugs were not counted and sorted at each visit. Future studies are warranted to monitor the status of unused and double-used drugs that might increase drug-drug interactions and result in fatal adverse effects. Secondly, Kampo, a combination of Japanese traditional herbal medicines extracted from plants and herbs, was not included in our PIM list. Kampo is used by the elderly as a supplementary treatment to maintain mental and physical wellbeing [54]. A retrospective cross-sectional study in Japan reported that Glycyrrhizae radix, the most commonly used component of Kampo, was potentially associated with chronic kidney disease and uncontrolled hypertension in elderly patients [55]. This unconfirmed relationship is worthy of further exploration and evaluation. Third, extrapolation of our results to the general population is not feasible. Studies focusing on community-dwelling outpatients could provide more comprehensive clinical implications. A pharmacoeconomic model of PIM management is necessary. Previous studies reported that medication reviews may reduce PIM use and drug-related problems in aged care facilities, although the evidence is of low quality [56, 57]. One study suggested that an intervention model to manage PIMs in home-like care might reduce the costs of PIMs by 52% compared with standard group care in nursing homes [37]. Thus, a proactive recognition and response model should be developed in home-based and community-based care settings and investigated for clinical and cost-effectiveness. Further studies should also investigate whether medication reviews could reduce the prevalence and costs of PIMs. On the other hand, although the use of explicit criteria such as STOPP-J and the Beers Criteria are potentially appropriate to guide physicians to identify and manage PIMs, care must be taken to ensure that any alternative prescription does not compromise treatment effectiveness in clinical practice. In addition, with regard to drug adherence, it is difficult to replace a fix-dose combination drug with other individual drugs. Hence, country-oriented, medication-specific criteria would be of considerable clinical utility.

Conclusion

PIMs categorized by STOPP-J are associated with hospitalization and mortality in Japanese patients receiving home-based medical services. PPIs, which are commonly used for acid-related diseases, do not seem to have deleterious effects on health outcomes. Country-oriented, medication-specific criteria would be clinically useful. Future studies are required to determine the optimal model for minimizing the burden of PIMs.
  56 in total

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Journal:  Eur J Clin Pharmacol       Date:  2015-05-14       Impact factor: 2.953

Review 9.  STOPP/START criteria for potentially inappropriate prescribing in older people: version 2.

Authors:  Denis O'Mahony; David O'Sullivan; Stephen Byrne; Marie Noelle O'Connor; Cristin Ryan; Paul Gallagher
Journal:  Age Ageing       Date:  2014-10-16       Impact factor: 10.668

10.  Costs of potentially inappropriate medication use in residential aged care facilities.

Authors:  S L Harrison; L Kouladjian O'Donnell; R Milte; S M Dyer; E S Gnanamanickam; C Bradley; E Liu; S N Hilmer; M Crotty
Journal:  BMC Geriatr       Date:  2018-01-11       Impact factor: 3.921

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  13 in total

1.  Potentially inappropriate medication in acute hospitalized elderly patients with polypharmacy: an observational study comparing PRISCUS, STOPP, and Beers criteria.

Authors:  Lorena de Agustín Sierra; Jaime Rodríguez Salazar; Ana Belén Jiménez-Muñoz; María Jesús Molina Hernández; Paloma Bermejo Bescós; Irene Iglesias Peinado; Benito García Díaz
Journal:  Eur J Clin Pharmacol       Date:  2020-11-18       Impact factor: 2.953

2.  Potentially inappropriate medication use and the hospitalization rate among Thai elderly patients: a retrospective cohort study.

Authors:  Vorawee Varavithya; Chayanee Tirapat; Penpitcha Rojpibulstit; Panadda Poovichayasumlit; Vanida Prasert; Pasitpon Vatcharavongvan
Journal:  Eur J Clin Pharmacol       Date:  2022-01-29       Impact factor: 2.953

3.  Potentially inappropriate medication use by level of polypharmacy among US Veterans 49-64 and 65-70 years old.

Authors:  Jordan Guillot; Christopher T Rentsch; Kirsha S Gordon; Amy C Justice; Julien Bezin
Journal:  Pharmacoepidemiol Drug Saf       Date:  2022-07-15       Impact factor: 2.732

Review 4.  The patterns and implications of potentially suboptimal medicine regimens among older adults: a narrative review.

Authors:  Georgie B Lee; Christopher Etherton-Beer; Sarah M Hosking; Julie A Pasco; Amy T Page
Journal:  Ther Adv Drug Saf       Date:  2022-07-04

5.  Potentially Inappropriate Medication and Polypharmacy in Nursing Home Residents: A Cross-Sectional Study.

Authors:  Raquel Díez; Raquel Cadenas; Julen Susperregui; Ana M Sahagún; Nélida Fernández; Juan J García; Matilde Sierra; Cristina López
Journal:  J Clin Med       Date:  2022-06-30       Impact factor: 4.964

6.  The prevalence and risk factors of potentially inappropriate medication use in older Chinese inpatients with multimorbidity and polypharmacy: a cross-sectional study.

Authors:  Fangyuan Tian; Shili Liao; Zhaoyan Chen; Ting Xu
Journal:  Ann Transl Med       Date:  2021-09

7.  Identification of a Set of Patient-Related Features to Foster Safe Prescribing of Specific Antipsychotics in the Elderly With Dementia.

Authors:  João Pedro Aguiar; Catarina Bernardo; João Gama Marques; Hubert Leufkens; Filipa Alves da Costa
Journal:  Front Psychiatry       Date:  2020-10-30       Impact factor: 4.157

8.  Potentially inappropriate medications for the elderly: Incidence and impact on mortality in a cohort ten-year follow-up.

Authors:  Natacha Christina de Araújo; Erika Aparecida Silveira; Brenda Godoi Mota; João Paulo Neves Mota; Ana Elisa Bauer de Camargo Silva; Rafael Alves Guimarães; Valéria Pagotto
Journal:  PLoS One       Date:  2020-10-28       Impact factor: 3.240

9.  Relationship between potentially inappropriate medications and functional prognosis in elderly patients with distal radius fracture: a retrospective cohort study.

Authors:  Takako Nagai; Masahiro Nagaoka; Koji Tanimoto; Yoshiaki Tomizuka; Hiroshi Uei; Kazuyoshi Nakanishi
Journal:  J Orthop Surg Res       Date:  2020-08-12       Impact factor: 2.359

10.  Effect of number of medications and use of potentially inappropriate medications on frailty among early-stage older outpatients.

Authors:  Yuya Uragami; Kazuhiro Takikawa; Hajime Kareki; Koji Kimura; Kazuyuki Yamamoto; Naomi Iihara
Journal:  J Pharm Health Care Sci       Date:  2021-05-03
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