Prescription of Potentially Inappropriate Medication Use in Older Cancer Outpatients With Multimorbidity: Concordance Among the Chinese, AGS/Beers, and STOPP Criteria

Objectives: Age-related multimorbidity is a general problem in older patients, which increases the prevalence of potentially inappropriate medication (PIM) use. This study aimed to examine the prevalence and predictors of PIM use in older Chinese cancer outpatients with multimorbidity based on the 2017 Chinese criteria, 2019 AGS/Beers criteria, and 2014 STOPP criteria.

Methods: A cross-sectional study was conducted using electronic medical data from nine tertiary hospitals in Chengdu from January 2018 to December 2018. The 2017 Chinese criteria, 2019 AGS/Beers criteria, and 2014 STOPP criteria were used to evaluate the PIM status of older cancer outpatients (age ≥65 years), the concordance among the three PIM criteria was calculated using kappa tests, and multivariate logistic regression was used to identify the risk factors associated with PIM use.

Results: A total of 6,160 cancer outpatient prescriptions were included in the study. The prevalence of PIM use was 34.37, 32.65, and 15.96%, according to the 2017 Chinese criteria, 2019 AGS/Beers criteria, and 2014 STOPP criteria, respectively. Furthermore, 62.43% of PIMs met table 2, 0.27% of PIMs met table 3, 34.68% of PIMs met table 4, 2.62% of PIMs met table 5 of 2019 AGS/Beers criteria, respectively. According to the three criteria, 84.93%, 82.25%, and 94.61% of older cancer outpatients had one PIM. The most frequently used PIM in cancer outpatients was estazolam. The Chinese criteria and the STOPP criteria indicated poor concordance, whereas the 2019 AGS/Beers criteria showed moderate concordance with the other two criteria. Logistic regression demonstrated that age ≥ 80, more diseases, polypharmacy, irrational use of drugs, and lung cancer were positively associated with PIM use in older cancer outpatients.

Conclusion: The prevalence of PIM use in Chinese older cancer outpatients with multimorbidity is high in China, and poor-to-moderate concordance among the three criteria was observed. Research on building PIM criteria for the older cancer population is necessary in the future.

Introduction

With the global population aging, the total number of people aged 60 years and older in the world is expected to reach 2 billion by 2050. China is the most populous country in the world, and the older population is also the largest (Jia et al., 2020). Older adults are more likely to suffer from multiple diseases, especially chronic diseases requiring complex treatments, such as taking many different medicines (Cojutti et al., 2016). Polypharmacy (defined as more than five medicines) is associated with the prescription of inappropriate medications, and a growing body of evidence links polypharmacy with negative outcomes (Field et al., 2001; Ferner and Aronson, 2006; Maddison et al., 2011; Weng et al., 2013; LeBlanc et al., 2015).

However, alterations in age-related pharmacokinetics and pharmacodynamics of older adults have led to an increased risk of drug–drug interactions and drug–disease interactions (Fried et al., 2014; Payne, 2016). Cancer patients are particularly prone to unintended consequences of polypharmacy because chemotherapy may carry a risk of drug–drug interactions and adverse drug events, which may include chemotherapy-related toxicity (Maggiore et al., 2014; Woopen et al., 2016). Some studies have shown that older cancer patients could suffer from a higher rate of comorbidity, frailty, and geriatric syndrome, putting them at high risk of polypharmacy and inappropriate medication use (Wildiers et al., 2014; Koczwara et al., 2022).

Potentially inappropriate medication (PIM) is a public health issue that can be defined as medications that should be avoided and may outweigh the expected clinical benefit, such as adverse drug events, hospitalization, disability, and economic burden (Hyttinen et al., 2016; Muhlack et al., 2017; Wallace et al., 2017). The American Geriatrics Society (AGS)/Beers criteria were the first expert consensus on geriatric PIM (Beers et al., 1991). The AGS, through an expert US-based panel, has undertaken the task of regular review and updating of AGS/Beers criteria, which are now in their sixth iteration (American Geriatrics Society Beers Criteria® Update Expert Panel, 2019). There were some substantial changes in the categories, and some medications were dropped or added. Because Beers criteria were not organized according to physiological systems, University College Cork organized experts from many disciplines to formulate the screening tool of old persons’ prescriptions to alert to the right treatment (STOPP/START criteria) through the Delphi method, and the second edition was updated in 2014 (O'Mahony et al., 2015; O'Mahony, 2020). Two criteria have been widely used in PIM use application surveys in communities, clinics, and hospitals worldwide. China formulated the criteria for judging the potentially inappropriate medication use of older adults by an expert panel in 2017, including medication risk and medication risk under disease status (Rational Drug Use Branch of Chinese Association of Geriatric, 2018). These country-specific criteria were divided into high-risk and low-risk medications according to experts’ evaluation.

Some previous reports examined PIM use in older Chinese patients based on the three criteria. However, no study has specifically reported on the concordance among the three criteria. The prevalence and the risk factors associated with PIM use according to the three criteria in older Chinese cancer patients are unclear. The concordance of different criteria often led to large differences in the results. Besides, country-specific and non-country-specific criteria significantly impact PIMs in older cancer patients. Therefore, in this study, we extracted prescriptions of cancer outpatients treated at tertiary hospitals in Chengdu, China. PIMs were screened based on the 2017 Chinese, 2019 AGS/Beers, and 2014 STOPP criteria. The concordance among the three PIM criteria was calculated, and the prevalence and the risk factors associated with PIMs were explored. It is hoped that this study will provide relevant evidence for follow-up research.

Methods

Setting and Sample

The cross-sectional study was performed to examine the concordance between the 2017 Chinese, 2019 AGS/Beers, and 2014 STOPP criteria on the detection of PIM use among older cancer outpatients with multimorbidity in tertiary hospitals in Chengdu, a capital city in southwest China, which covers an area of 12,390 square kilometers, with a permanent population of 16.0 million in 2017. The prescriptions of older (aged ≥65) cancer outpatients with multimorbidity (cancer with other diseases) were cluster sampled from a hospital prescription analysis cooperation project led by the Chinese Pharmaceutical Association between 1 January and 31 December 2018. All data were retrospectively encoded without any possibility of identification and treated.

Data Collection

The data were collected by diagnoses type as follows: 1) basic information (region, prescription number, and department source); 2) patient characteristics (age, gender, and diagnosis); and 3) medication characteristics (generic name, trade name, specification, dosage form, administration route, number of prescriptions, prescription expenditure dosage, and frequency of administration).

Evaluation Criteria

The 2017 Chinese, 2019 AGS/Beers, and 2014 STOPP criteria were used to evaluate PIM use for older cancer outpatients outside of palliative care and hospice service. The prescription in this study was evaluated as potentially inappropriate with PIM use in older adults (table 2), PIM use in older adults due to drug-disease or drug-syndrome interactions that may exacerbate the disease or syndrome (table 3, drugs to be used with caution in older adults (table 4, and potentially clinically important drug–drug interactions that should be avoided in older adults (table 5 of 2019 AGS/Beers Criteria. The 2014 STOPP criteria were used (not including a screening tool to alert to right treatment criteria). The 2017 Chinese criteria contained two tables about PIM use in Chinese older adults and PIM use in Chinese older adults under disease states. PIM was divided into high-risk and low-risk medications and divided into A and B categories according to defined daily doses. Researchers (FY Tian, RN Yang) independently reviewed the medications of each patient and assessed prescription expenditure. Prescription expenditure refers to the expenditure of all drugs in the prescription. The irrational use of the drugs was evaluated by two clinical pharmacists (FY Tian, ZY Chen). Prescription comments were done according to the Chinese Prescription Administrative Policy. Nonstandard prescriptions, inappropriate prescriptions, and supernormal prescriptions referring to medication without indications were classified as irrational prescriptions. Any inconsistencies between the two researchers were submitted to a third professional and then resolved through collective discussion.

Statistical Analysis

Categorical data were described using frequency, and the χ² test was used to compare categorical variables between groups. Continuous data subject to a normal distribution are expressed as the mean ± standard deviation (SD), and continuous data subject to a nonnormal distribution are expressed as M (P₂₅, P₇₅). We defined gender, age, number of diseases, polypharmacy, rational prescriptions, expenditure, and type of cancer as risk factors. The associations between risk factors and PIM use (non-PIM = 0, PIM = 1) were performed through multivariate logistic regression analysis to determine the influence on PIM-related risk. Statistical analyses were conducted using SPSS version 26.0 (Armonk, NY: IBM Corp.). A comparative analysis was performed between the results obtained for the three PIM identification tools, and the agreement between them was determined through weighted kappa concordance tests (values of kappa >0.60 indicate good to excellent agreement, values between 0.40 and 0.60 indicate moderate agreement, and values < 0.40 indicate poor agreement) (Landis and Koch, 1977). Logistic regression used the enter method strategy and likelihood ratio method. The results of the logistic regression analysis are presented with odds ratios (ORs) and 95% confidence intervals (CIs); p < 0.05 was considered statistically significant.

Ethics Approval

This study protocol was approved by the Sichuan University West China Hospital Research Ethics Board. All procedures performed in this study conformed to the standards of the 1964 Helsinki Declaration and subsequent relevant ethics.

Results

Basic Characteristics of Patients

A total of 6,160 cancer outpatient prescriptions were included in this study, of which 46.53% (2,866) were female. The median age was 72 (IQR: 68, 78) years old, ranging from 65 to 99, with the oldest (≥80 years of age) cancer patients accounting for 18.72% (1,153). The median number of medical diagnoses was 3 (IQR: 2, 5). Regarding medication of prescriptions, the median number prescribed was 3 (IQR: 2, 4), and 22.53% (1,388) of older cancer outpatients had polypharmacy. The prevalence of rational prescriptions was 93.93% (5,786). The median prescription expenditure was 814.62 (IQR: 274.65, 1,638.95) Chinese Yuan (CNY). In this study, 20.70% (1,275) of the patients had lung cancer, 18.83% (1,160) had breast cancer, 16.36% (1,008) had colorectal cancer, 12.76% (786) had prostate cancer, and 6.38% (393) had gastric cancer The characteristics of the basic information in this study are listed in Table 1.

TABLE 1

TABLE 1. Basic characteristics of older cancer outpatients.

Concordance Between the Three Criteria

Considering the three PIM classification tools applied, the 2017 Chinese criteria had 1335 PIM prescriptions in common with the 2019 AGS/Beers criteria and 726 PIM prescriptions in common with the 2014 STOPP criteria. In contrast, the 2019 AGS/Beers criteria had 919 PIMs in common with the 2014 STOPP criteria. The kappa statistic for the 2017 Chinese and STOPP criteria was 0.320, indicating poor concordance. In contrast, the 2019 AGS/Beers criteria showed moderate concordance with the 2017 Chinese criteria and the 2014 STOPP criteria (κ = 0.469 and 0.509, respectively) (Table 2).

TABLE 2

TABLE 2. Concordance between the 2017 Chinese, 2019 AGS/Beers, and 2014 STOPP criteria.

Prevalence of PIMs and the Most Frequent PIMs

Among the 6,160 older cancer outpatient prescriptions, 2,117 (34.37%) outpatient prescriptions were identified with at least one PIM, and a total of 2,477 PIMs were detected by the 2017 Chinese criteria. Of the patient prescriptions with PIM, 84.93% received one PIM, 13.04% received two PIMs, and 2.03% had at least three PIMs according to the criteria (Table 3). Overall, the most consumed PIMs according to the 2017 Chinese criteria were estazolam, clopidogrel, and tramadol at 20.65%, 14.00%, 13.68%, respectively (Table 4).

TABLE 3

TABLE 3. The number of PIMs used by older cancer outpatients in the PIM group.

TABLE 4

TABLE 4. The five most consumed PIMs used by older cancer outpatients.

According to the 2019 AGS/Beers criteria, 2011 (32.65%) outpatient prescriptions were identified with at least one PIM, and a total of 2,630 PIMs were detected. Among them, 62.43% met table 2, 0.27% met table 3, 34.68% met table 4, and 2.62% met table 5 of 2019 AGS/Beers criteria, respectively. Of the patient prescriptions with PIM, 82.25% received one PIM, 10.69% received two PIMs, and 7.06% had at least three PIMs according to the criteria (Table 3). Overall, the most consumed PIMs according to the 2019 AGS/Beers criteria were estazolam, tramadol, and hydrochlorothiazide, which were 20.97%, 13.89%, 9.85%, respectively (Table 4).

Based on the 2014 STOPP criteria, 983 (15.96%) outpatient prescriptions were identified with at least one PIM, and 1,036 PIMs were detected. Of the patient prescriptions with PIM, 94.61% received one PIM, 4.17% received two PIMs, and 1.22% were had at least three PIMs according to the criteria (Table 3). Overall, the most consumed PIMs according to the 2014 STOPP criteria were estazolam, glimepiride, and alprazolam at 49.80%, 17.61%, and 15.75%, respectively (Table 4).

Risk Factors for PIM Use

Based on the three criteria, PIM use was the dependent variable (non-PIM = 0, PIM = 1). Logistic regression demonstrated that age ≥ 80 years (OR: 1.322 by 2017 Chinese criteria, OR: 1.238 by 2019 AGS/Beers criteria, OR: 1.386 by 2014 STOPP criteria), more diseases (OR: 1.348 by 2017 Chinese criteria, OR: 1.193 by 2019 AGS/Beers criteria, OR: 2.229 by 2014 STOPP criteria), polypharmacy (OR: 3.09 by 2017 Chinese criteria, OR: 2.52 by 2019 AGS/Beers criteria, OR: 2.087 by 2014 STOPP criteria), and irrational use of drugs (OR: 1.679 by 2017 Chinese criteria, OR: 1.762 by 2019 AGS/Beers criteria, OR: 2.857 by 2014 STOPP criteria) were positively associated with PIM use in older cancer outpatients. Lung cancer patients (OR: 1.281 by 2017 Chinese criteria, OR: 1.344 by 2019 AGS/Beers criteria, OR: 1.421 by 2014 STOPP criteria) were also more likely to have PIMs. However, when the prescription expenditure (OR: 0.524 by 2017 Chinese criteria, OR: 0.416 by 2019 AGS/Beers criteria, OR: 0.634 by 2014 STOPP criteria) was higher, PIM use in older cancer outpatients was lower (Table 5).

TABLE 5

TABLE 5. Multivariate logistic regression analysis of factors associated with PIM use.

Discussion

To the best of our knowledge, this is the first study assessing the concordance of three PIM-detecting tools—the 2017 Chinese criteria, the 2019 AGS/Beers criteria, and the 2014 STOPP criteria—in older Chinese cancer outpatients. Although these criteria were developed for different populations and with different aims, they are the most commonly used in older Chinese patients. Because multiple comorbidities are frequent among older cancer patients, a tool focusing on cancer outpatients should be implemented to alert doctors to an eventual PIM prescription. Our study found that the 2017 Chinese and the 2014 STOPP criteria indicated poor coherence, whereas the 2019 AGS/Beers criteria showed moderate concordance with the other two criteria, which was a little different from another study on Chinese older inpatients (Ma et al., 2018). Moreover, a Portuguese study performed in inpatients 65 or more years of age showed poor concordance among the 2019 AGS/Beers criteria, 2014 STOPP criteria, and the EU(7)-PIM list (Perpétuo., 2021). The low concordance between different criteria highlights the need to develop special PIM-detecting criteria for older cancer patients exposed to many PIMs and reinforces the fact that older cancer outpatients are also at risk of PIM. This will provide a basis for rational drug use for cancer patients and reduce outpatient prescription expenditure. The poor concordance between the Chinese and the STOPP criteria can be due to the applicability requirements of each list. The overlap between the Beers criteria and the other two criteria regarding medication risk irrespective of conditions was relatively high. However, the Chinese criteria contained clopidogrel and mixed insulin not included in the Beers criteria. In order to determine one PIM with the STOPP criteria, it is imperative to know the entire medication history and clinical information of the patient. These reasons may lead to moderate concordance between the Beers criteria and the other two criteria.

China is currently the country with the largest older cancer population in the world, and cancer as a chronic disease places a heavy burden on the elderly. Older cancer patients can suffer from a higher rate of comorbidity, frailty, and geriatric syndrome, putting them at a high risk of polypharmacy and PIM use (Pamoukdjian et al., 2020; Kleckner et al., 2022). To the best of our knowledge, this is the first cross-sectional study on the prevalence and risk factors for PIM use in Chinese older cancer outpatients according to the three criteria. The prevalence of PIM use was 34.37%, 32.65%, and 15.96%, according to the 2017 Chinese, 2019 AGS/Beers, and 2014 STOPP criteria, respectively. There is little difference between the 2017 Chinese and 2019 AGS/Beers criteria. However, the prevalence of PIM use of the 2014 STOPP criteria was lower than the other two criteria. According to the 2017 Chinese criteria, to consider the medicine as a PIM, it is only necessary to know the status of medication and disease in older patients. In addition, Chinese criteria were made based on drug utilization of the older Chinese population, so it is more suitable for Chinese individuals. The AGS/Beers criteria judge each medicine as a PIM based not only on the medication profile of a patient but also on the pathologies of the patients, as well as the laboratory results (O'Mahony et al., 2015). In order to apply the STOPP criteria, it is imperative to know the entire medication history, clinical information of the patient, and laboratory (O'Mahony et al., 2015; O'Mahony, 2020; Perpétuo et al., 2021). Based on the 2019 AGS/Beers criteria, our study found that the prevalence of PIM use among older Chinese cancer patients was 32.65%, which was lower than the prevalence of 80.4% reported by a study on Korean cancer patients according to the 2019 AGS/Beers criteria (Suh et al., 2021). The older Korean patients received anti-neoplastic therapy with emergency department (ED) visits, the prevalence of polypharmacy in the patients was observed in 80.4%, and the prevalence was 22.53% in our study. Taking more medications was the reason for the higher prevalence of PIM use compared to our study. Based on the 2014 STOPP criteria, our study found that the prevalence of PIM use among older cancer outpatients was 15.96%, which was lower than Japanese with a prevalence of 31.9% (Hakozaki et al., 2021). Older advanced non–small cell lung cancer (NSCLC) patients and those on oral molecular-targeted anticancer agents were included in the study. According to our research, the prevalence of PIM use in lung cancer patients was higher. The high prevalence of PIM use is that older cancer outpatients are usually in serious condition both physically and mentally, and the willingness of patients to take medicine is relatively strong, not only for antitumor drugs but also for analgesic drugs and sedative-hypnotic drugs. Another potential reason was that the adverse outcomes in older cancer patients were highly associated with PIM use, and the poor clinical outcome of cancer patients will further aggravate the prevalence of PIM use (Mohamed et al., 2020; Chen et al., 2021).

In our research, the most frequent PIM in Chinese older cancer outpatients was estazolam, according to the three criteria. Sleep disorder is common with advancing age and affects 36%–70% of older adults (Hishikawa et al., 2017; Patel et al., 2018), and it is further aggravated in older cancer patients. Consequently, estazolam is a benzodiazepine frequently used by older Chinese cancer patients. However, benzodiazepines are also linked to risks of mortality, falls, fractures, and depression among older adults (Kripke et al., 2002; Stone et al., 2008; Yaffe et al., 2014). Therefore, the risk of this category of medication use should be further evaluated for older cancer patients.

According to the results of logistic regression analysis, PIM-associated factors were the same among the three sets of criteria; older cancer outpatients who were ≥80 years of age, had more diseases, had polypharmacy, and had an irrational use of drugs and those who had lung cancer were more likely to receive PIMs. Furthermore, compared with other identified factors, polypharmacy is the most strongly associated independent risk factor. Patients with polypharmacy had more than two to three times the risk of PIM use compared with patients with one to four medications. In this study, the polypharmacy of older cancer outpatients was 22.53%, which is slightly little lower than the result of our other study (Tian et al., 2021), and this was similar to the results of Hsu et al.'s study, in which polypharmacy prevalence was lower in those with than without a cancer history (Hsu et al., 2021). Older cancer patients with age more than 80 generally have worse health and more multimorbidity than the general cancer population of older adults, and they are more likely to be exposed to PIM use (Lai et al., 2018). Our study found that, with the increase in multimorbidity in Chinese older cancer patients, the risk of PIM use gradually increased. This phenomenon is similar to older Chinese patients with other chronic diseases in some studies (Li et al., 2021; Zhao et al., 2021). The growth was more obvious with the 2014 STOPP criteria, as the PIM use of these criteria was more affected by the disease. In addition, unreasonable prescribing carries a higher risk of PIM use in Chinese older cancer outpatients. However, with the increase in prescription expenditures for cancer patients, the prevalence of PIM gradually declined. This was because the high expenditure on cancer prescriptions was mostly due to the use of antitumor drugs. However, the three criteria rarely involve antitumor drugs. Among all cancer diseases, only lung cancer was associated with PIM use. One study showed that at least half of patients with lung cancer have comorbidities, which would increase the risk of PIM use (Pluchart et al., 2021). Through these results, we suggested reducing unnecessary medications and performing medication reconciliation carefully for older cancer outpatients with taking multiple medications from the doctor or the pharmacist. At the same time, the criteria could be more refined according to the risk factors, such as the formation of special criteria for the outpatients who were ≥80 years of age and older lung cancer patients. This will further improve the feasibility and accuracy of the criteria.

Several limitations should be noted in this study. It was an observational study conducted in China, which is likely to cause some deviations in the results. These results need to be further confirmed by multicenter clinical trials. Second, there are no follow-up data for these older cancer patients when investigating PIM use by electronic medical data, so the correlation between PIM use and further clinical outcomes is not known. Finally, the patients attending outpatients of tertiary hospitals were the main focus of the study, and cancer outpatients who were in nursing homes and communities were not evaluated.

Conclusion

This study investigated the use of PIMs in older cancer outpatients with multimorbidity in Chengdu based on the 2017 Chinese, 2019 AGS/Beers, and 2014 STOPP criteria. The results showed that the prevalence of PIM use was high in Chinese older cancer outpatients; poor-to-moderate concordance among the three criteria was observed; and age ≥80, more diseases, polypharmacy, irrational use of drugs, and lung cancer were risk factors for PIM use.

Data Availability Statement

The raw data supporting the conclusion of this article will be made available by the authors without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by this study protocol, which was approved by the Sichuan University West China Hospital Research Ethics Board. Written informed consent from participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author Contributions

Conception and design: FT. Administrative support: FT. Provision of study materials or patients: FT, MZ, and RY. Collection and assembly of data: FT, RY. Data analysis and interpretation: FT and ZC. Manuscript writing: all authors. Final approval of manuscript: all authors.

Funding

This work was supported by the National Key R and D Program of China (Project no. 2018YFC2002103) and the Sichuan Science and Technology Program (Project no. 2022JDR0326).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We would like to thank the patients who participated in this study.

References

American Geriatrics Society Beers Criteria® Update Expert Panel (2019). American Geriatrics Society 2019 Updated AGS Beers Criteria® for Potentially Inappropriate Medication Use in Older Adults. J. Am. Geriatr. Soc. 67, 674–694. doi:10.1111/jgs.15767

PubMed Abstract | CrossRef Full Text | Google Scholar

Beers, M. H., Ouslander, J. G., Rollingher, I., Reuben, D. B., Brooks, J., and Beck, J. C. (1991). Explicit Criteria for Determining Inappropriate Medication Use in Nursing home Residents. UCLA Division of Geriatric Medicine. Arch. Intern. Med. 151, 1825–1832. doi:10.1001/archinte.1991.00400090107019

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, L. J., Trares, K., Laetsch, D. C., Nguyen, T. N. M., Brenner, H., and Schöttker, B. (2021). Systematic Review and Meta-Analysis on the Associations of Polypharmacy and Potentially Inappropriate Medication with Adverse Outcomes in Older Cancer Patients. J. Gerontol. A. Biol. Sci. Med. Sci. 76 (6), 1044–1052. doi:10.1093/gerona/glaa128

PubMed Abstract | CrossRef Full Text | Google Scholar

Cojutti, P., Arnoldo, L., Cattani, G., Brusaferro, S., and Pea, F. (2016). Polytherapy and the Risk of Potentially Inappropriate Prescriptions (PIPs) Among Elderly and Very Elderly Patients in Three Different Settings (Hospital, Community, Long-Term Care Facilities) of the Friuli Venezia Giulia Region, Italy: Are the Very Elderly at Higher Risk of PIPs. Pharmacoepidemiol. Drug Saf. 25, 1070–1078. doi:10.1002/pds.4026

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferner, R. E., and Aronson, J. K. (2006). Communicating Information about Drug Safety. BMJ 333, 143–145. doi:10.1136/bmj.333.7559.143

PubMed Abstract | CrossRef Full Text | Google Scholar

Field, T. S., Gurwitz, J. H., Avorn, J., McCormick, D., Jain, S., Eckler, M., et al. (2001). Risk Factors for Adverse Drug Events Among Nursing home Residents. Arch. Intern. Med. 161, 1629–1634. doi:10.1001/archinte.161.13.1629

PubMed Abstract | CrossRef Full Text | Google Scholar

Fried, T. R., O'Leary, J., Towle, V., Goldstein, M. K., Trentalange, M., and Martin, D. K. (2014). Health Outcomes Associated with Polypharmacy in Community-Dwelling Older Adults: a Systematic Review. J. Am. Geriatr. Soc. 62, 2261–2272. doi:10.1111/jgs.13153

PubMed Abstract | CrossRef Full Text | Google Scholar

Hakozaki, T., Matsuo, T., Shimizu, A., Ishihara, Y., and Hosomi, Y. (2021). Polypharmacy Among Older Advanced Lung Cancer Patients Taking EGFR Tyrosine Kinase Inhibitors. J. Geriatr. Oncol. 12 (1), 64–71. doi:10.1016/j.jgo.2020.09.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Hishikawa, N., Fukui, Y., Sato, K., Ohta, Y., Yamashita, T., and Abe, K. (2017). Cognitive and Affective Functions Associated with Insomnia: a Population-Based Study. Neurol. Res. 39 (4), 331–336. doi:10.1080/01616412.2017.1281200

PubMed Abstract | CrossRef Full Text | Google Scholar

Hsu, C. D., Nichols, H. B., and Lund, J. L. (2021). Polypharmacy and Medication Use by Cancer History in a Nationally Representative Group of Adults in the USA, 2003-2014. J. Cancer Surviv 10 (2), 2072–2079. doi:10.1007/s11764-021-01059-x

CrossRef Full Text | Google Scholar

Hyttinen, V., Jyrkkä, J., and Valtonen, H. (2016). A Systematic Review of the Impact of Potentially Inappropriate Medication on Health Care Utilization and Costs Among Older Adults. Med. Care 54 (10), 950–964. doi:10.1097/MLR.0000000000000587

PubMed Abstract | CrossRef Full Text | Google Scholar

Jia, L., Du, Y., Chu, L., Zhang, Z., Li, F., Lyu, D., et al. (2020). Prevalence, Risk Factors, and Management of Dementia and Mild Cognitive Impairment in Adults Aged 60 Years or Older in China: a Cross-Sectional Study. Lancet Public Health 5 (12), e661–e671. doi:10.1016/S2468-2667(20)30185-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Kleckner, A. S., Wells, M., Kehoe, L. A., Gilmore, N. J., Xu, H., Magnuson, A., et al. (2022). Using Geriatric Assessment to Guide Conversations Regarding Comorbidities Among Older Patients with Advanced Cancer. JCO Oncol. Pract. 18 (1), e9–e19. doi:10.1200/OP.21.00196

PubMed Abstract | CrossRef Full Text | Google Scholar

Koczwara, B., Deckx, L., Ullah, S., and van den Akker, M. (2022). Impact of Comorbidities on Physical Function and Survival of Middle-Aged, as Compared to Older, Individuals with Cancer. Support Care Cancer 30 (2), 1625–1632. doi:10.1007/s00520-021-06567-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Kripke, D. F., Garfinkel, L., Wingard, D. L., Klauber, M. R., and Marler, M. R. (2002). Mortality Associated with Sleep Duration and Insomnia. Arch. Gen. Psychiatry 59 (2), 131–136. doi:10.1001/archpsyc.59.2.131

PubMed Abstract | CrossRef Full Text | Google Scholar

Lai, X., Zhu, H., Huo, X., and Li, Z. (2018). Polypharmacy in the Oldest Old (≥80 years of Age) Patients in China: a Cross-Sectional Study. BMC Geriatr. 18 (1), 64. doi:10.1186/s12877-018-0754-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Landis, J. R., and Koch, G. G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics 33 (1), 159–174. doi:10.2307/2529310

PubMed Abstract | CrossRef Full Text | Google Scholar

LeBlanc, T. W., McNeil, M. J., Kamal, A. H., Currow, D. C., and Abernethy, A. P. (2015). Polypharmacy in Patients with Advanced Cancer and the Role of Medication Discontinuation. Lancet Oncol. 16 (7), e333–41. doi:10.1016/S1470-2045(15)00080-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Y., Hu, J., Gao, Y. Z., Zhou, F., Zhu, Z. H., Zhang, B. F., et al. (2021). Prevalence and Determinants of Potentially Inappropriate Medications Prescribing in Elderly Patients in Chinese Communities. Ann. Palliat. Med. 10 (2), 2072–2079. doi:10.21037/apm-21-32

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, Z., Zhang, C., Cui, X., and Liu, L. (2018). Comparison of Three Criteria for Potentially Inappropriate Medications in Chinese Older Adults. Clin. Interv. Aging 14, 65–72. doi:10.2147/CIA.S190983

PubMed Abstract | CrossRef Full Text | Google Scholar

Maddison, A. R., Fisher, J., and Johnston, G. (2011). Preventive Medication Use Among Persons with Limited Life Expectancy. Prog. Palliat. Care 19, 15–21. doi:10.1179/174329111X576698

PubMed Abstract | CrossRef Full Text | Google Scholar

Maggiore, R. J., Dale, W., Gross, C. P., Feng, T., Tew, W. P., Mohile, S. G., et al. (2014). Polypharmacy and Potentially Inappropriate Medication Use in Older Adults with Cancer Undergoing Chemotherapy: Effect on Chemotherapy-Related Toxicity and Hospitalization during Treatment. J. Am. Geriatr. Soc. 62 (8), 1505–1512. doi:10.1111/jgs.12942

PubMed Abstract | CrossRef Full Text | Google Scholar

Mohamed, M. R., Ramsdale, E., Loh, K. P., Arastu, A., Xu, H., Obrecht, S., et al. (2020). Associations of Polypharmacy and Inappropriate Medications with Adverse Outcomes in Older Adults with Cancer: A Systematic Review and Meta-Analysis. Oncologist 25 (1), e94–e108. doi:10.1634/theoncologist.2019-0406

PubMed Abstract | CrossRef Full Text | Google Scholar

Muhlack, D. C., Hoppe, L. K., Weberpals, J., Brenner, H., and Schöttker, B. (2017). The Association of Potentially Inappropriate Medication at Older Age with Cardiovascular Events and Overall Mortality: A Systematic Review and Meta-Analysis of Cohort Studies. J. Am. Med. Dir. Assoc. 18 (3), 211–220. doi:10.1016/j.jamda.2016.11.025

PubMed Abstract | CrossRef Full Text | Google Scholar

O'Mahony, D., O'Sullivan, D., Byrne, S., O'Connor, M. N., Ryan, C., and Gallagher, P. (2015). STOPP/START Criteria for Potentially Inappropriate Prescribing in Older People: Version 2. Age Ageing 44 (2), 213–218. doi:10.1093/ageing/afu145

PubMed Abstract | CrossRef Full Text | Google Scholar

O'Mahony, D. (2020). STOPP/START Criteria for Potentially Inappropriate Medications/potential Prescribing Omissions in Older People: Origin and Progress. Expert Rev. Clin. Pharmacol. 13 (1), 15–22. doi:10.1080/17512433.2020.1697676

PubMed Abstract | CrossRef Full Text | Google Scholar

Pamoukdjian, F., Laurent, M., Martinez-Tapia, C., Rolland, Y., Paillaud, E., and Canoui-Poitrine, F. (2020). Frailty Parameters, Morbidity and Mortality in Older Adults with Cancer: A Structural Equation Modelling Approach Based on the Fried Phenotype. J. Clin. Med. 9 (6), 1826. doi:10.3390/jcm9061826

PubMed Abstract | CrossRef Full Text | Google Scholar

Patel, D., Steinberg, J., and Patel, P. (2018). Insomnia in the Elderly: a Review. J. Clin. Sleep Med. 14 (6), 1017–1024. doi:10.5664/jcsm.7172

PubMed Abstract | CrossRef Full Text | Google Scholar

Payne, R. A. (2016). The Epidemiology of Polypharmacy. Clin. Med. (Lond) 16, 465–469. doi:10.7861/clinmedicine10.7861/clinmedicine.16-5-465

PubMed Abstract | CrossRef Full Text | Google Scholar

Perpétuo, C., Plácido, A. I., Rodrigues, D., Aperta, J., Piñeiro-Lamas, M., Figueiras, A., et al. (2021). Prescription of Potentially Inappropriate Medication in Older Inpatients of an Internal Medicine Ward: Concordance and Overlap Among the EU(7)-PIM List and Beers and STOPP Criteria. Front. Pharmacol. 12, 676020. doi:10.3389/fphar.2021.676020

PubMed Abstract | CrossRef Full Text | Google Scholar

Pluchart, H., Bailly, S., Fauconnier, J., Delafosse, P., Chanoine, S., Dumas, I., et al. (2021). Study Protocol to Assess Polypharmacy and Comorbidities in Lung Cancer. Respir. Med. Res. 80, 100861. doi:10.1016/j.resmer.2021.100861

PubMed Abstract | CrossRef Full Text | Google Scholar

Rational Drug Use Branch of Chinese Association of Geriatric (2018). Criteria of Potentially Inappropriate Medications for Older Adults in China. Adverse Drug React. J. 20 (1), 2–8. doi:10.3760/cma.j.issn.1008-5734.2018.01.002

CrossRef Full Text | Google Scholar

Stone, K. L., Ancoli-Israel, S., Blackwell, T., Ensrud, K. E., Cauley, J. A., Redline, S., et al. (2008). Actigraphy-measured Sleep Characteristics and Risk of Falls in Older Women. Arch. Intern. Med. 168 (16), 1768–1775. doi:10.1001/archinte.168.16.1768

PubMed Abstract | CrossRef Full Text | Google Scholar

Suh, Y., Ah, Y. M., Lee, E., and Lee, J. Y. (2021). Association of Inappropriate Polypharmacy with Emergency Department Visits in Older Patients Receiving Anti-neoplastic Therapy: a Population-Based Study. Support Care Cancer 29 (6), 3025–3034. doi:10.1007/s00520-020-05759-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Tian, F., Li, H., Chen, Z., and Xu, T. (2021). Potentially Inappropriate Medications in Chinese Older Outpatients in Tertiary Hospitals According to Beers Criteria: A Cross-Sectional Study. Int. J. Clin. Pract. 75 (8), e14348. doi:10.1111/ijcp.14348

PubMed Abstract | CrossRef Full Text | Google Scholar

Wallace, E., McDowell, R., Bennett, K., Fahey, T., and Smith, S. M. (2017). Impact of Potentially Inappropriate Prescribing on Adverse Drug Events, Health Related Quality of Life and Emergency Hospital Attendance in Older People Attending General Practice: A Prospective Cohort Study. J. Gerontol. A. Biol. Sci. Med. Sci. 72 (2), 271–277. doi:10.1093/gerona/glw140

PubMed Abstract | CrossRef Full Text | Google Scholar

Weng, M. C., Tsai, C. F., Sheu, K. L., Lee, Y. T., Lee, H. C., Tzeng, S. L., et al. (2013). The Impact of Number of Drugs Prescribed on the Risk of Potentially Inappropriate Medication Among Outpatient Older Adults with Chronic Diseases. QJM 106, 1009–1015. doi:10.1093/qjmed/hct141

PubMed Abstract | CrossRef Full Text | Google Scholar

Wildiers, H., Heeren, P., Puts, M., Topinkova, E., Janssen-Heijnen, M. L., Extermann, M., et al. (2014). International Society of Geriatric Oncology Consensus on Geriatric Assessment in Older Patients with Cancer. J. Clin. Oncol. 32, 2595–2603. doi:10.1200/JCO.2013.54.8347

PubMed Abstract | CrossRef Full Text | Google Scholar

Woopen, H., Richter, R., Ismaeel, F., Chekerov, R., Roots, I., Siepmann, T., et al. (2016). The Influence of Polypharmacy on Grade III/IV Toxicity, Prior Discontinuation of Chemotherapy and Overall Survival in Ovarian Cancer. Gynecol. Oncol. 140 (3), 554–558. doi:10.1016/j.ygyno.2016.01.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Yaffe, K., Falvey, C. M., and Hoang, T. (2014). Connections between Sleep and Cognition in Older Adults. Lancet Neurol. 13 (10), 1017–1028. doi:10.1016/S1474-4422(14)70172-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, M., Song, J. X., Zheng, F. F., Huang, L., and Feng, Y. F. (2021). Potentially Inappropriate Medication and Associated Factors Among Older Patients with Chronic Coronary Syndrome at Hospital Discharge in Beijing, China. Clin. Interv. Aging 16, 1047–1056. doi:10.2147/CIA.S305006

PubMed Abstract | CrossRef Full Text | Google Scholar