Potentially Inappropriate Medication Among People With Dementia in China: A Nationwide Cross-Sectional Study

Prevalence and Factors with Potentially Inappropriate Prescribing among Older Surgical Outpatients in China: A Nationwide Cross-sectional Study in 100 Hospitals

BACKGROUND

Older outpatients face a heightened risk of potentially inappropriate prescribing (PIP). However, there is a paucity of evidence evaluating PIP in older outpatients attending surgical outpatient departments in China using Chinese-specific criteria. This study aimed to assess the prevalence of PIP and identify associated factors within this population.

METHODS

A cross-sectional design was employed, utilizing prescription data from older surgical outpatients across 100 hospitals in seven Chinese cities between January and December 2021. PIP was assessed based on Chinese criteria, and multivariate logistic regression analysis was performed to identify risk factors. Trends were analyzed using the average annual percent change (AAPC) via joinpoint regression.

RESULTS

A total of 357,135 prescriptions for older surgical outpatients were analyzed. The prevalence of PIP according to Chinese criteria was 13.06%. The five most commonly identified potentially inappropriate medications (PIMs) were doxazosin, clopidogrel, tolterodine, estazolam, and the concurrent use of more than two NSAIDs, which together accounted for 52.73% of all PIMs. From January to December, the prevalence of PIP exhibited a slight decrease, from 13.29 to 13.21% (AAPC: -0.278%). Logistic regression revealed that factors such as tertiary-level hospital status, polypharmacy, pain, sleep disorders, hypertension, benign prostatic hyperplasia, and stone disease were positively associated with PIP in older surgical outpatients.

CONCLUSIONS

The study found that while the prevalence of PIP among older surgical outpatients in China is relatively low, attention is needed to the widespread use of certain PIMs.

Risk of falls or fall-related injuries associated with potentially inappropriate medication use among older adults with dementia

BACKGROUND

Potentially inappropriate medications (PIMs) are prevalent in older adults with dementia and subsequent falls or fall-related injuries. The present study determined the risk of falls or fall-related injuries associated with PIM use in older adults with dementia.

METHODS

The National Health Insurance Service-Elderly Cohort Database 2.0 (NHIS-ECDB 2.0) was used for this self-controlled case series (SCCS) study. This study included 1430 participants who went through exposure and non-exposure periods of PIM application among patients with dementia and experienced outcome events of falls or fall-related injuries between January 2016 and December 2019. The incidence of falls or fall-related injuries during the exposure and post-exposure periods was compared with that during the non-exposure period. Beers Criteria were used to define PIMs in patients with dementia. Negative binomial regression was conducted. The incidence rate ratio (IRR) was used to determine the risk of falls or fall-related injuries.

RESULTS

During the exposure periods in which falls or fall-related injuries occurred, the mean number of PIMs among patients with dementia was 3.76 (SD = 2.99), and the most commonly used PIMs among patients with dementia were first-generation antihistamines (n = 283; 59.1%). Compared to the non-exposure period, the adjusted IRR during the exposure period was 1.57 (95% CI = 1.39-1.76). The risk of falls or fall-related injuries was increased when PIM use in patients with dementia was initiated (1-14 days: IRR = 2.76, 95% CI = 2.31-3.28; 15-28 days: IRR = 1.95, 95% CI = 1.48-2.56; ≥ 29 days: IRR = 1.17, 95% CI = 1.01-1.35). Especially, an increased risk of falls or fall-related injuries was associated with greater PIM use among patients with dementia.

CONCLUSION

Among older adults with dementia, PIMs significantly increase the risk of falls and fall-related injuries. Therefore, strategies should be developed to manage PIM prescriptions in patients with dementia to prevent falls.

A model for identifying potentially inappropriate medication used in older people with dementia: a machine learning study

BACKGROUND

Older adults with dementia often face the risk of potentially inappropriate medication (PIM) use. The quality of PIM evaluation is hindered by researchers' unfamiliarity with evaluation criteria for inappropriate drug use. While traditional machine learning algorithms can enhance evaluation quality, they struggle with the multilabel nature of prescription data.

AIM

This study aimed to combine six machine learning algorithms and three multilabel classification models to identify correlations in prescription information and develop an optimal model to identify PIMs in older adults with dementia.

METHOD

This study was conducted from January 1, 2020, to December 31, 2020. We used cluster sampling to obtain prescription data from patients 65 years and older with dementia. We assessed PIMs using the 2019 Beers criteria, the most authoritative and widely recognized standard for PIM detection. Our modeling process used three problem transformation methods (binary relevance, label powerset, and classifier chain) and six classification algorithms.

RESULTS

We identified 18,338 older dementia patients and 36 PIMs types. The classifier chain + categorical boosting (CatBoost) model demonstrated superior performance, with the highest accuracy (97.93%), precision (95.39%), recall (94.07%), F1 score (95.69%), and subset accuracy values (97.41%), along with the lowest Hamming loss value (0.0011) and an acceptable duration of the operation (371s).

CONCLUSION

This research introduces a pioneering CC + CatBoost warning model for PIMs in older dementia patients, utilizing machine-learning techniques. This model enables a quick and precise identification of PIMs, simplifying the manual evaluation process.

Global prevalence of polypharmacy and potentially inappropriate medication in older patients with dementia: a systematic review and meta-analysis

Background: Older patients with dementia always need multiple drugs due to comorbidities and cognitive impairment, further complicating drug treatment and increasing the risk of potentially inappropriate medication. The objective of our study is to estimate the global prevalence of polypharmacy and potentially inappropriate medication (PIM) and explore the factors of PIM for older patients with dementia. Methods: We searched PubMed, Embase (Ovid), and Web of Science databases to identify eligible studies from inception to 16 June 2023. We conducted a meta-analysis for observational studies reporting the prevalence of potentially inappropriate medication and polypharmacy in older patients with dementia using a random-effect model. The factors associated with PIM were meta-analyzed. Results: Overall, 62 eligible studies were included, of which 53 studies reported the prevalence of PIM and 28 studies reported the prevalence of polypharmacy. The pooled estimate of PIM and polypharmacy was 43% (95% CI 38-48) and 62% (95% CI 52-71), respectively. Sixteen studies referred to factors associated with PIM use, and 15 factors were further pooled. Polypharmacy (2.83, 95% CI 1.80-4.44), diabetes (1.31, 95% CI 1.04-1.65), heart failure (1.17, 95% CI 1.00-1.37), depression (1.45, 95% CI 1.14-1.88), history of cancer (1.20, 95% CI 1.09-1.32), hypertension (1.46, 95% CI 1.05-2.03), ischemic heart disease (1.55, 95% CI 0.77-3.12), any cardiovascular disease (1.11, 95% CI 1.06-1.17), vascular dementia (1.09, 95% CI 1.03-1.16), chronic obstructive pulmonary disease (1.39, 95% CI 1.13-1.72), and psychosis (1.91, 95% CI 1.04-3.53) are positively associated with PIM use. Conclusion: PIM and polypharmacy were highly prevalent in older patients with dementia. Among different regions, the pooled estimate of PIM use and polypharmacy varied widely. Increasing PIM in older patients with dementia was closely associated with polypharmacy. For other comorbidities such as heart failure and diabetes, prescribing should be cautioned.

Development and validation of a nomogram to predict the risk of potentially inappropriate medication use in older lung cancer outpatients with multimorbidity

BACKGROUND

At present, there is no predictive model that can predict the prevalence of potentially inappropriate medication (PIM) use in older lung cancer outpatients.

RESEARCH DESIGN AND METHODS

We measured PIM by the 2019 Beers criteria. Significant factors were identified to develop the nomogram using logistic regression. We validated the nomogram internally and externally in two cohorts. The discrimination, calibration, and clinical practicability of the nomogram were verified using receiver operating characteristic (ROC) curve analysis, Hosmer-Lemeshow test, and decision curve analysis (DCA), respectively.

RESULTS

A total of 3300 older lung cancer outpatients were divided into a training cohort (n = 1718) and two validation cohorts, including an internal validation cohort (n = 739) and an external validation cohort (n = 843). A nomogram for predicting PIM use patients was developed using six significant factors. ROC curve analysis showed that the area under the curve was 0.835 in the training cohort and 0.810 and 0.826 in the internal validation and external validation cohorts, respectively. The Hosmer‒Lemeshow test yielded P = 0.180, 0.779 and 0.069, respectively. The nomogram demonstrated a high net benefit in DCA.

CONCLUSIONS

The nomogram could be a convenient, intuitive, and personalized clinical tool for assessing the risk of PIM in older lung cancer outpatients.

Characterization of Potentially Inappropriate Medications That Need Special Attention in the Elderly with Dementia by Analyzing Pharmacy Claims Data

Community pharmacists may play a key role in promoting deprescribing of potential inappropriate medications (PIMs) that are highly prevalent among community-dwelling elderly with dementia. To characterize PIMs categories that need a special attention for dementia patients, in the present study, we analyzed the anonymized pharmacy claims data of patients aged 65 years and older (n = 333869) who visited nationwide 905 community-based pharmacies of Sugi Pharmacy Co., Ltd. during December 1-31, 2019. A dementia group was defined as patients who received typical dementia medications marketed in Japan, i.e., donepezil, galantamine, memantine or rivastigmine, and a non-dementia group was defined as patients who received no such medications. After propensity score matching on the basis of patients' age, gender and home healthcare insurance usage, the data of 11486 patients in each group were subjected to logistic regression analyses, to identify PIMs categories particularly important for dementia patients. Univariate analysis indicated that the proportions of dementia patients who received 1 and 2≤ of PIMs were significantly (p < 0.001) greater than those of non-dementia patients (odds ratios were 1.35 and 1.47, respectively). Multivariate analyses identified 5 categories of PIMs that were significantly more frequently prescribed in dementia patients, i.e., 'H2 blockers,' 'drugs for overactive bladder,' 'anti-diabetes drugs' and 'sulpiride' listed as PIMs categories for non-specific cases (adjusted odds ratios (aORs): 1.29, 1.91, 1.17, and 1.38, respectively), in addition to 'antipsychotics' listed only for dementia patients (aOR: 4.29). These results provide useful information to establish strategies for pharmacist-led deprescribing of PIMs in dementia patients.