Introduction

An adverse drug reaction (ADR) is defined as a harmful or uncomfortable event due to medication1. Older age and polypharmacy, which is defined as the use of more or five regular medications, are associated with an increased risk of ADRs2,3. Given the aging population worldwide, monitoring and minimizing the burden of ADRs are important.

The most frequent encounter for ADRs is ambulatory care4. According to ambulatory care-based studies4,5, approximately one in every eight outpatients have at least one ADR during no more than one year. However, monitoring ADRs in an ambulatory setting is laborious5,6,7. Therefore, monitoring emergency department (ED) visits or urgent hospitalizations due to ADRs is an alternative strategy6. Previous meta-analyses of observational studies2,8,9,10,11,12,13 reported that 5–10% of hospital admissions were caused by ADRs. Moreover, approximately half of the hospitalizations due to ADRs were preventable11,12.

However, in the last decade, few studies have been conducted to determine the prevalence of hospitalization due to ADRs14,15,16. Moreover, passive surveillance systems reporting ADRs underestimate their prevalence because of underreporting and lack of awareness by clinicians17,18. Given that a substantial proportion of hospitalizations is caused by ADRs, it is important to establish the accurate prevalence of hospitalization due to ADRs. Therefore, a cross-sectional study was conducted to determine the prevalence of hospitalization due to ADRs and associated risk factors.

Results

The baseline characteristics of the 5707 patients hospitalized for acute medical illnesses are shown in Table 1. The median patient age was 78 years (interquartile range (IQR) 63–87), 2605 (45.6%) were women, 4123 (72.3%) were independent in activities of daily living (ADLs), and 3217 (56.4%) had used an ambulance. The median Charlson Comorbidity Index score was one (IQR 0–3), 1011 patients (17.7%) had chronic kidney disease, and 2743 (48.1%) took more or five regular medications at admission. The most common chief complaint was fever or chills (n = 1278, 22.4%), followed by dyspnea (n = 793, 13.9%), abdominal pain or discomfort (n = 394, 6.9%), and chest pain or discomfort (n = 351, 6.2%) (eTable 1 in the Supplemental file). The most common final clinical diagnoses leading to hospitalization were acute heart failure (n = 623, 10.9%), followed by COVID-19 (n = 533, 9.7%), pneumonia or pneumonitis (n = 524, 9.2%), gastrointestinal bleeding (n = 361, 6.3%), acute coronary syndrome (n = 259, 4.5%), and stroke or transient ischemic attack (n = 239, 4.2%) (eTable 2 in the Supplemental file).

Table 1 Characteristics of the 5707 patients hospitalized for acute medical illnesses.

A total of 494 medications contributed to adverse events at admission (Table 2 and eTable 3 in the Supplemental file). Of those, 368 medications (74.5%) were judged to cause 287 hospitalizations due to ADRs. The most common categories of medications leading to hospitalization were cardiovascular agents (n = 83, 22.6%), musculoskeletal agents (n = 62, 16.8%), antithrombic agents (n = 49, 13.3%), psychotropic agents (n = 39, 10.6%), and antidiabetic agents (n = 37, 10.1%). Medications in these five categories accounted for more than 70% of all ADRs leading to hospitalization.

Table 2 Most common categories of medications associated with adverse drug reactions at admission.

For the primary outcome, the proportion of patients who were hospitalized due to ADRs among all patients hospitalized for acute medical illnesses was 5.0% (95% CI 4.5–5.6%). According to our multivariable analysis, the risk factors independently associated with hospitalization due to adverse drug reactions were polypharmacy (odds ratio (OR) 2.66; 95% CI 2.00–3.54), age ≥ 65 years (OR 2.00; 95% CI 1.34–3.00), and ambulance use (OR 1.41; 95% CI 1.41–1.81) (Table 3). For the secondary outcome, the proportion of patients who had any ADRs at admission among all patients hospitalized for acute medical illnesses was 6.6% (95% CI 6.0–7.3%).

Table 3 Univariable and multivariable analyses of predictive factors for hospitalization caused by adverse drug reactions.

The post hoc analysis showed that the prevalence rates of hospital admissions due to ADRs during the pre-COVID-19 pandemic and COVID-19 pandemic periods were 6.1% and 3.8%, respectively (eTable 4 in the Supplemental file). The prevalence of hospitalizations due to ADRs was significantly lower during the COVID-19 pandemic period than during the pre-COVID-19 pandemic period (p < 0.001).

Discussion

The present study showed that approximately 5% of urgent hospital admissions were caused by ADRs. Our findings are consistent with those of past meta-analyses10,13 of observational studies using data before 2012 showing that 5–10% of hospital admissions were caused by ADRs. This means that the prevalence of hospital admissions due to ADRs has not significantly improved during the last decade. However, compared with the findings of a previous recent study19 using almost the same methods, the prevalence of hospital admissions due to ADRs in the present study was reduced by approximately half. In Japan, the “Proper Medication Guideline for Older Adults” was published for healthcare providers in May 201820, and polypharmacy reduction incentives were initiated in 201621 and 201822. A recent study reported that the prevalence of polypharmacy among elderly individuals subsequently decreased in Japan23. Therefore, it is possible that the national strategy for polypharmacy among elderly patients in Japan might have reduced hospital admissions due to ADRs. However, according to post hoc analysis, the prevalence of hospital admissions due to ADRs significantly decreased from the pre-COVID-19 pandemic period to the COVID-19 pandemic period. During the COVID-19 pandemic, the number of hospital visits in Japan substantially decreased24. Therefore, a reduction in hospital visits and increase in hospital admissions due to COVID-19 might have resulted in a decrease in the prevalence of hospital admissions due to ADRs. Nonetheless, additional studies are needed to confirm this hypothesis and monitor the prevalence of hospital admissions induced by ADRs since the COVID-19 pandemic.

In the present study, cardiovascular agents, nonsteroidal anti-inflammatory drugs (NSAIDs), antithrombic agents, psychotropic agents, and antidiabetic agents accounted for more than two-thirds of the medications leading to hospitalization. This finding is similar to that of past studies showing that the most common categories of medications leading to hospitalization included cardiovascular agents, antithrombic agents, psychotropic agents, NSAIDs, and antidiabetic agents3,4,6,12,13. Although the proportion of opioid use was lower in the present study than in past studies13,25, this difference might be attributed to the lower consumption of opioids in Japan than in European countries and the United States26. Previous 19,27 and recent studies showed that the proportion of psychotropic agents in medications causing hospitalization was greater than that in other countries3,4,6,12,13. Most of the patients included in the present study were 65 years or older. Given that psychotropic agents for elderly patients are considered potentially inappropriate medications in most cases28,29, further efforts to minimize the harmful effects of psychotropic agents are needed by implementing proper medication guidelines20,30. Moreover, in the present study, polypharmacy and age ≥ 65 years were independent risk factors associated with hospitalization due to ADRs. Our findings are consistent with those of a previous systematic review13 regarding hospitalization due to ADRs. Therefore, deprescribing interventions for elderly patients with polypharmacy is also important.

In the present study, ambulance use was independently associated with an increased risk of hospitalization due to ADRs. This indicated that patients who were hospitalized due to ADRs had more severe symptoms that necessitated ambulance use than those who were not. To our knowledge, no studies have ever been conducted to investigate the association between ambulance use and hospitalization induced by ADRs3. Therefore, further studies are needed.

This study has several limitations. First, the present study was limited to patients hospitalized in the internal medicine ward of a single center. Second, a substantial proportion of patients were excluded due to insufficient information on documented medication history and medical history. Third, ADRs were screened based on information from electronic medical records documented in usual care. Therefore, some assessments of the causality of ADRs might have been inaccurate. Fourth, hindsight bias might have overestimated the prevalence of hospitalizations due to ADRs31. Fifth, ADRs were assessed by a single investigator. Therefore, the assessments of the causality of ADRs might have been inaccurate. Sixth, the preventability of ADRs was not assessed. Seventh, the inclusion of patients who were readmitted during the study period in the present study might overemphasize the characteristics of those patients. Finally, a medication list of trigger symptoms was not used to identify the medications that might have caused adverse events. Therefore, the prevalence of ADRs might have been underestimated.

In conclusion, one in every twenty emergency hospital admissions was caused by ADRs. Polypharmacy and old age were associated with an increased risk of hospitalization due to ADRs. Given the rapidly aging populations worldwide, efforts to mitigate hospitalizations due to ADRs are needed.

Methods

Study design and setting

A single-center retrospective cross-sectional study using chart reviews was conducted at NHO Tochigi Medical Center to determine the prevalence of hospitalization caused by ADRs among all emergency hospital admissions. NHO Tochigi Medical Center is a 350-bed general community hospital in Utsunomiya, Japan, and is one of the two largest acute care hospitals providing care for approximately 0.5 million people in this area. This research was approved and the requirement for individual informed consent was formally waived by the Medical Ethics Committee of NHO Tochigi Medical Center (No. 2019-2) because deidentified data were collected without contacting the patients. This research was conducted in accordance with the Ethical Guidelines for Epidemiological Research in Japan and the Declaration of Helsinki.

Inclusion and exclusion criteria

All consecutive patients aged > 18 years who were urgently hospitalized in the internal medicine ward of NHO Tochigi Medical Center due to acute medical illnesses from June 2018 to May 2021 were included. If the same patient was admitted two or more times during the study period, the admissions were evaluated separately. Patients who were planned to be hospitalized for diagnostic procedures, education, treatment, or short-term care were excluded. In this study, data collected in usual care were used. Therefore, patients with insufficient information on regular medications or medical history at admission documented in the electronic medical records were also excluded. During the study period, 7468 patients were hospitalized. A total of 5707 patients who met the inclusion criteria were included in the final analysis (eFigure 1 in the Supplemental file).

Data collection and screening

Information on age, sex, medical history, medications, primary diagnosis at hospitalization, and prognosis was collected as deidentified data from electronic medical records. For the primary diagnosis, the documented diagnosis in the discharge summary was used. For information on prescribed medications, a comprehensive medication list documented by pharmacists as usual care was used. The type of medication was classified according to the World Health Organization Anatomical Therapeutic Chemical classification. Based on the medication list and the patients’ medical histories, physical findings, and laboratory test results from the electronic medical records, the medications that could cause ADRs were screened. During the study period, all patients who were hospitalized in the internal medicine ward of the hospital were screened within a few days after admission as routine care. All medications that the patients took were evaluated for whether they caused ADRs at hospital admission. If needed, the principal physicians were contacted regarding the possibility of ADRs due to specific medications. The patients were subsequently followed up until discharge by using the electronic medical records.

Outcome measures

The primary outcome was the proportion of patients who were hospitalized due to ADRs among hospitalized patients with acute medical illnesses. Based on a previous report1, ADRs were defined as harmful or unpleasant reactions resulting from an intervention related to the use of a medicinal product, which predicts risks from future administration and warrants prevention or specific treatment, alteration of the dosage regimen, or withdrawal of the product. Unpleasant reactions included any new symptoms or signs that were presumed to be caused by the medications. However, ADRs associated with treatment failure or withdrawal of medications were not included. Intentional drug abuse or unintentional medication overdose were not included as ADRs. The secondary outcome was the proportion of patients who had any ADRs at admission among hospitalized patients with acute medical illnesses.

The causality of ADRs was assessed according to the World Health Organization-Uppsala Monitoring Centre (WHO-UMC) criteria32. The medication was judged to cause adverse events if both of the following criteria were met: (1) there was a “certain” or “probable” causal association between the medication and adverse events based on the WHO-UMC criteria32; and (2) the medication was stopped or its dose was reduced by the principal physician caring for the patient during the index hospitalization. The contribution of the ADR to hospitalization was evaluated based on the Hallas criteria33. The patients for whom problems due to ADRs were “dominant” leading to hospitalization were judged to be hospitalized due to ADRs. These assessments were performed by a single investigator (J.K.).

Statistical analysis

Initially, approximately 10,000 patients were planned to be included. This sample size would provide a precision of 0.5% for calculation of the 95% confidence interval (CI) of the primary outcome, assuming that the proportion of patients who were hospitalized due to ADRs was 7%, which was based on previous Japanese studies19,27 and systematic reviews10,13. However, the recent coronavirus disease 2019 (COVID-19) pandemic made it difficult to continue enrollment due to a shortage of healthcare providers. Therefore, the sample size of this study was reduced.

Descriptive statistics are used to report the baseline characteristics of the study population. For the primary outcome, the proportion of patients who were hospitalized due to ADRs among all the hospitalized patients was calculated. For the secondary outcome, the proportion of hospitalized patients who had any ADRs at admission among all hospitalized patients was calculated. The 95% CIs were calculated for these outcomes. Multivariate analysis using binary logistic regression was performed to determine the predictive factors associated with ADRs leading to hospitalization. We examined the associations between the primary outcome and age, sex, ambulance use, Charlson Comorbidity Index score, chronic kidney disease, and polypharmacy at admission. Polypharmacy was defined as the use of five or more medications34. The clinical features of patients who are transferred or not transferred by ambulance to the emergency department are different35. Therefore, ambulance use was chosen as one of the variables. The COVID-19 pandemic began during the study period. In the region of the hospital, the first hospital admissions of COVID-19 patients occurred in February 2020. Therefore, in a post hoc analysis, the proportion of patients who were hospitalized due to ADRs between the pre-COVID-19 pandemic period (June 2018 to January 2020) and the COVID-19 pandemic period (February 2020 to May 2021) was compared by using Fisher’s exact test. Excel statistical software version 4.04 (Bellcurve for Excel; Social Survey Research Information Co., Ltd., Tokyo, Japan) and Stata version 18.0 (StataCorp, USA) were used for these analyses. A p value < 0.05 indicated statistical significance.