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Article

Pneumonia Risk Associated with the Use of Individual Benzodiazepines and Benzodiazepine Related Drugs among the Elderly with Parkinson’s Disease

1
Department of Health Services Administration, China Medical University, Taichung 40402, Taiwan
2
School of Medicine, China Medical University, Taichung 40402, Taiwan
3
Department of Otorhinolaryngology, China Medical University Hospital, Taichung 40402, Taiwan
4
Department of Pharmacology, Chung Shan Medical University, Taichung 40201, Taiwan
5
Department of Pharmacy, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
6
Department of Long Term Care, National Quemoy University, Kinmen 892009, Taiwan
7
Department of Healthcare Administration, Asia University, Taichung 41354, Taiwan
8
Department of Medical Research, China Medical University Hospital, Taichung 40402, Taiwan
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Environ. Res. Public Health 2021, 18(17), 9410; https://doi.org/10.3390/ijerph18179410
Submission received: 12 July 2021 / Revised: 2 September 2021 / Accepted: 2 September 2021 / Published: 6 September 2021
(This article belongs to the Special Issue Health and Wellbeing on Aging)

Abstract

:
Most patients with Parkinson’s disease (PD) gradually develop oropharyngeal dysphagia which is often associated with pneumonia risk. The possible association of benzodiazepine (BZD) and benzodiazepine related drugs (BZRD) use with pneumonia risk has received increasing attention but remains controversial. We investigated pneumonia risk associated with the use of BZDs and BZRDs in older adult patients with PD. This case-control study analyzed data of 551,975 older adult patients with PD between 2001 and 2018 in Taiwan. To minimize potential confounding, we used 1:4 propensity score matching to include older adult patients without pneumonia as controls. Incident pneumonia risk was significantly higher in current (adjusted odds ratio (aOR) = 1.25, 95% CI = 1.23–1.27) and past (aOR = 1.13, 95% CI = 1.11–1.15) users of BZDs. Regarding BZRDs, recent (aOR = 1.08, 95% CI = 1.06–1.11) and past (aOR = 0.89, 95% CI = 0.88–0.91) users had higher and lower risks of incident pneumonia, respectively. Pneumonia risk varied based on their use of BZDs and BZRDs. In these individuals, incident pneumonia risk was high in users of BZDs, such as midazolam, lorazepam, flunitrazepam, estazolam, and clonazepam. Regarding the use of BZRDs, zopiclone increased incident pneumonia risk.

1. Introduction

With Parkinson’s disease (PD) progression, the bulbar muscles get affected, leading to dysphagia. Dysphagia is a common symptom in patients with PD and may occur at any stage of the disease. Most patients with PD gradually develop oropharyngeal dysphagia [1]. Patients with oropharyngeal dysphagia have difficulty swallowing and are associated with increased aspiration pneumonia risk [2].
Sleep disturbance is a common nonmotor symptom among patients with PD, which may affect their quality of life. Sleep disorders can affect 38% to 98% of patients with PD [3]. These patients with sleep disturbance are commonly prescribed hypnotics [4]. Benzodiazepine receptor agonists (BZRAs), including benzodiazepines (BZDs) and benzodiazepine related drugs (BZRDs), act on the gamma-aminobutyric acid (GABA) type A receptor and are the mainstay treatments for insomnia [5]. PD is characterized by the progressive loss of dopaminergic neurons and neuronal degeneration of the substantia nigra [6]. Animal studies have shown that GABA agonists decrease extracellular striatal dopamine concentrations [7]. Therefore, BZDs may worsen PD symptoms [8]. Furthermore, animal studies have shown that BZDs could be a risk factor for pneumonia probably through the direct suppression of innate immunity [9]. Several studies have reported increased susceptibility to spontaneous bacterial infection and mortality in relation to the use of BZDs and BZRDs in an infection setting [9,10]. Most studies have shown that BZDs use is associated with an increased pneumonia risk [11,12]. Conversely, a population-based case-control study involving older adult people did not find a statistically significant association between BZDs and pneumonia [13]. The precise mechanism through which BZDs and BZRDs increase pneumonia risk are unknown.
However, few studies have examined how pneumonia risk is associated with the use of BZDs and BZRDs in older adult patients with PD. However, whether BZDs and BZRDs are associated with an increased pneumonia risk is still debatable. Our study hypothesized that the risk of pneumonia increases with the use of BZDs and BZRDs among patients with PD. The action mechanism underlying the development of pneumonia may differ between BZDs and BZRDs, and a drug-by-drug evaluation of such a mechanism is necessary. Therefore, in this study, we investigated pneumonia risk associated with the use of individual BZD and BZRD in patients with PD. Furthermore, we investigated the related risk factors for pneumonia by using nationwide data from Taiwan’s National Health Insurance (NHI) Research Database.

2. Materials and Methods

2.1. Database

This study conducted a secondary data analysis on the Longitudinal Health Insurance Database (LHID), which covers the period of 2001 to 2018 and is published by the Health and Welfare Data Science Center, Ministry of Health and Welfare (HWDC, MOHW). The LHID includes details of beneficiaries enrolled in Taiwan’s NHI program that covers up to 99% of its citizens. Hence, the LHID is a nationally representative health database for Taiwan. Information provided in the LHID, including detailed clinical records on outpatient visits, hospitalizations, diagnostic codes, and prescriptions, is highly concordant between NHI claims records and patients’ self-reports. Therefore, the LHID is frequently used to determine drug safety, including that relating to drug-induced pneumonia. The LHID is anonymous, and the HWDC deidentifies insured patients to protect their privacy. The requirement for informed consent was waived. This study protocol was approved by the Central Regional Research Ethics Committee of China Medical University, Taiwan (No. CRREC-109-011).

2.2. Study Participants

From the LHID, we identified patients aged ≥ 65 years with a diagnosis of PD (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] 332 and International Classification of Diseases, Tenth Revision, Clinical Modification [ICD-10-CM] G20) at any time between 2002 and 2018. Older adult patients with a principal diagnosis of pneumonia (ICD-9-CM 480-486 and ICD-10-CM J12-J18) were included in the case group. To minimize potential confounding caused by unbalanced covariates in nonexperimental settings, we performed propensity score matching at a 1:4 ratio and included older adult patients without pneumonia as controls. The propensity score of the study was the probability that a patient received BZDs or BZRDs, calculated based on sex, age, income level, urbanization, and Charlson comorbidity index (CCI). After matching, a total of 551,975 older adult patients with PD were enrolled in the study between 2001 and 2018 in Taiwan.

2.3. Study Design

This was a case–control study designed to investigate pneumonia risk associated with the use BZDs and BZRDs drugs in older adult patients with PD. The dependent variable was the incident pneumonia and the independent variable was the use of individual BZD and BZRD. A patient was defined as using BZDs or BZRDs if they used any of the following, according to the Anatomic Therapeutic Chemical (ATC) classification system: BZDs, namely midazolam (N05CD08), triazolam (N05CD05), alprazolam (N05BA12), lorazepam (N05BA06), flunitrazepam (N05CD03), estazolam (N05CD04), oxazepam (N05BA04), diazepam (N05BA01), clonazepam (N03AE01), chlordiazepoxide (N05BA02), and flurazepam (N05CD01), and BZRDs, namely zolpidem (N05CF02) and zopiclone (N05CF01).
Patients’ medication using a year before pneumonia diagnosis was assessed. Exposure to BZDs and BZRDs was classified as “current” when the most recent prescription was within 30 days before pneumonia diagnosis. Furthermore, exposure to BZDs and BZRDs was classified as “recent” and “past” when prescriptions were 31 to 90 days and ≥90 days before pneumonia diagnosis, respectively. In addition, patients who were never prescribed BZDs and BZRDs before pneumonia diagnosis were included in the reference group.
The control variables in this study included sex, age, income level, urbanization, CCI score, and comorbidities related to pneumonia. The comorbidities were diabetes mellitus (ICD-9-CM 250 and ICD-10-CM E08-E13), hypertension (ICD-9-CM 401-405 and ICD-10-CM I10-I13 and I15), cerebrovascular disease (ICD-9 CM 430-438 and ICD-10-CM I60-I69), arrhythmia (ICD-9-CM 427 and ICD-10-CM I47-I49), upper respiratory tract infection (ICD-9-CM 465.9 and ICD-10-CM J00-06 and J30-39), heart failure (ICD-9-CM 428.0 and ICD-10-CM I50), asthma (ICD-9-CM 493 and ICD-10-CM J45), chronic obstructive pulmonary disease (COPD; ICD-9-CM 490-492 and 494-496 and ICD-10-CM J40-J44 and J47), periodontitis (ICD-9-CM 523 and ICD-10-CM K05.4), chronic kidney disease (ICD-9-CM 585 and ICD-10-CM N18), chronic liver disease (ICD-9-CM 571 and ICD-10-CM K70-K76), alcoholism (ICD-9-CM 303 and ICD-10-CM F10.2), Alzheimer disease (ICD-9-CM 331.0 and 290.1 and ICD-10-CM G30 and F00), rheumatoid arthritis (ICD-9-CM 714 and ICD-10-CM M05-M06 and M45), cancer (ICD-9-CM 140-239 and ICD-10-CM C00-C97), epilepsy (ICD-9-CM 345 and ICD-10-CM G40-G41), schizophrenia (ICD-9-CM 295-295.65 and 295.8-295.95 and ICD-10-CM F20-F20.9), bipolar disorder (ICD-9-CM 296.7 and ICD-10-CM F31.9), major depressive disorder (MDD; ICD-9-CM 296.3 and ICD-10-CM F32.9), and anxiety (ICD-9-CM 300.0 and ICD-10-CM F40 and F41).

2.4. Statistical Analysis

Descriptive statistics were first used to show distributions of participants’ characteristics, including sex, age, income level, urbanization, CCI score, and comorbidities related to pneumonia. We used the Chi-square test to examine the variables’ proportion because all variables were categorical data. We investigated the association between BZDs or BZRDs and pneumonia through a conditional logistic regression after adjusting all control variables. Statistical analysis was performed using SAS software version 9.4 (SAS Institute Inc., Cary, NC, USA). Statistical significance was indicated if p-value < 0.05.

3. Results

3.1. Baseline Characteristics

Table 1 presents the baseline characteristics of the study participants. After matching, 551,975 older adult patients with PD were included in the study. Among them, 110,395 and 441,580 patients received and did not receive a diagnosis of pneumonia, respectively. The age of patients with pneumonia was 80.14 ± 5.85 years. As expected, the distribution of sex, age, income level, urbanization, and CCI between the case and control groups were not significantly different after matching. The case group had patients with diabetes mellitus (31.06%), hypertension (61.42%), cerebrovascular disease (45.11%), arrhythmia (14.83%), upper respiratory tract infection (37.98%), congestive heart failure (14.44%), asthma (13.37%), COPD (38.75%), periodontitis (1.23%), chronic kidney disease (2.41%), chronic liver disease (8.28%), alcoholism (0.09%), Alzheimer’s disease (11.13%), rheumatoid arthritis (1.43%), cancer (14.40%), epilepsy (5.42%), schizophrenia (1.58%), bipolar disorder (1.42%), MDD (4.61%), or anxiety (13.61%).

3.2. Incidence Rate of Pneumonia with BZD Use

Table 2 presents the incidence rate of pneumonia with BZD use. Incident pneumonia was noted in 20.00%, 22.21%, 19.66%, and 20.44% of nonusers, current users, recent users, and past users of BZDs, respectively (p < 0.001). Compared with patients not receiving BZDs, current (adjusted odds ratio (aOR) = 1.25, 95% CI = 1.23 to 1.27) and past (aOR = 1.13, 95% CI = 1.11 to 1.15) users had a significantly higher incident pneumonia risk, whereas recent users had a non-significantly higher incident pneumonia risk (aOR = 1.01, 95% CI = 1.00 to 1.03).
With regard to individual BZDs, high incident pneumonia risk was observed in current, recent, and past users of midazolam (aOR = 3.93, 95% CI = 3.71 to 4.15; aOR = 1.26, 95% CI = 1.18 to 1.35; and aOR = 1.29, 95% CI = 1.26 to 1.32, respectively), lorazepam (aOR = 1.27, 95% CI = 1.24 to 1.31; aOR = 1.08, 95% CI = 1.05 to 1.11; and aOR = 1.16, 95% CI = 1.14 to 1.18, respectively), flunitrazepam (aOR = 1.15, 95% CI = 1.08 to 1.23; aOR = 1.11, 95% CI = 1.05 to 1.18; and aOR = 1.12, 95% CI = 1.08 to 1.15, respectively), estazolam (aOR = 1.28, 95% CI = 1.24 to 1.32; aOR = 1.14, 95% CI = 1.11 to 1.18; and aOR = 1.11, 95% CI = 1.10 to 1.13, respectively), and clonazepam (aOR = 1.10, 95% CI = 1.07 to 1.13; aOR = 1.05, 95% CI = 1.03 to 1.07; and aOR = 1.05, 95% CI = 1.03 to 1.06, respectively). Diazepam current users had a high incident pneumonia risk (aOR = 1.08, 95% CI = 1.03 to 1.13), whereas recent (aOR = 0.82, 95% CI = 0.79 to 0.85) and past (aOR = 0.90, 95% CI = 0.88 to 0.91) users had a low incident pneumonia risk. Low incident pneumonia risk was observed in current, recent, and past users of alprazolam (aOR = 0.94, 95% CI = 0.91 to 0.96; aOR = 0.88, 95% CI = 0.86 to 0.90; and aOR = 0.94, 95% CI = 0.93–0.95, respectively) and chlordiazepoxide (aOR = 0.75, 95% CI = 0.63 to 0.89; aOR = 0.70, 95% CI = 0.60 to 0.81; and aOR = 0.90, 95% CI = 0.87 to 0.94, respectively). Furthermore, incident pneumonia risk was low in current (aOR = 0.68, 95% CI = 0.56 to 0.83) and recent (aOR = 0.80, 95% CI = 0.68 to 0.93) users of oxazepam.

3.3. Incidence Rate of Pneumonia with BZRD Use

Table 3 presents the incidence rate of pneumonia with BZRD use. Incident pneumonia was noted in 20.05%, 19.44%, 18.58%, and 21.28% of nonusers, current users, recent users, and past users of BZRDs, respectively (p < 0.001). Compared with patients who did not receive BZRDs, recent users had a high incident pneumonia risk (aOR = 1.08, 95% CI = 1.06 to 1.11), whereas past users had a low incident pneumonia risk (aOR = 0.89, 95% CI = 0.88 to 0.91).
Among BZRDs, current (aOR = 0.94, 95% CI = 0.91 to 0.97) and recent (aOR = 0.86, 95% CI = 0.86 to 0.91) users of zolpidem had a low risk of incident pneumonia, whereas past users of the drug had a high risk of incident pneumonia (aOR = 1.07, 95% CI = 1.06 to 1.09). Furthermore, current (aOR = 1.14, 95% CI = 1.08 to 1.20), recent (aOR = 1.07, 95% CI = 1.02 to 1.11), and past (aOR = 1.11, 95% CI = 1.08 to 1.13) users of zopiclone had a high risk of incident pneumonia.

4. Discussion

Different drugs have different pharmaceutical properties that can substantially affect biological properties. These individual BZD or BZRD drugs may have different action mechanisms that drive the development of pneumonia. This case–control study analyzed data of 551,975 older adult patients with PD between 2001 and 2018 in Taiwan. Our study revealed that for individual BZDs, midazolam, lorazepam, flunitrazepam, estazolam, and clonazepam were associated with increased incident pneumonia risk in current, recent, and past users in elderly patients with PD. However, several individual BZDs such as alprazolam and chlordiazepoxide were associated with decreased incident pneumonia risk in current, recent, and past users. Among BZRDs, zolpidem current and recent users had a low incident pneumonia risk, whereas past users had a high incident pneumonia risk. Furthermore, zopiclone current, recent, and past users had a high incident pneumonia risk.
For treating sleep disturbance among patients with PD, several sedative-hypnotics are prescribed, including BZDs and BZRDs, which are mainstay treatments for insomnia [5]. BZDs, as GABA modulators, are commonly used for the treatment of sleep disorders, anxiety, and some forms of depression [14]. PD is the second most common age-related motoric neurodegenerative disorder, which is likely to lead to oropharyngeal dysphagia and may increase aspiration pneumonia risk [2]. Several studies have indicated that BZDs and BZRDs are associated with an increased pneumonia risk in older adult patients [11,12]. However, a study in older adult patients did not find a statistically significant association between BZDs and pneumonia (OR = 1.08, 95% CI = 0.84 to 1.47), which may partly be due to low numbers of patients exposed to BZDs in this study [13]. By contrast, another study showed that BZDs may be associated with a decreased pneumonia risk. However, this study used questionnaires to determine drug exposure and thus has potential recall and reporting bias [15]. Previous studies have not specifically examined the association between BZRAs and pneumonia, and the small sample size may have decreased the power of the study [15]. The association of the use of BZDs and BZRDs with pneumonia risk has received increasing attention but is still controversial. However, no study has explored whether patients with PD who use BZDs and BZRDs have increased pneumonia risk. Therefore, our study was conducted to investigate pneumonia risk associated with the use of BZDs and BZRDs among older adult patients with PD in the Taiwan population. The large sample size used was representative of the population and allowed for robust findings in our analysis. To the authors’ knowledge, this is the first study to directly evaluate the association of BZDs and BZRDs with pneumonia risk among older adult patients with PD.
Pneumonia risk among older adult patients with PD varies depending on the use of BZDs or BZRDs. As for individual BZDs, midazolam, lorazepam, flunitrazepam, estazolam, and clonazepam were associated with increased incident pneumonia risk in current, recent, and past users. However, several BZDs such as alprazolam and chlordiazepoxide were associated with decreased incident pneumonia risk in current, recent, and past users. Among BZRDs, zolpidem current and recent users had a low incident pneumonia risk, whereas past users had a high incident pneumonia risk. Furthermore, current, recent, and past users of zopiclone had a high incident pneumonia risk.
In our study, compared with patients not receiving BZDs, current and past users of BZDs had a significantly increased incident pneumonia risk. Several mechanisms have been proposed in animal and physiological studies to explain the possible association of BZD or BZRD use with pneumonia risk. First, BZDs can sedate, may prolong hypoventilation duration [16], and may lead to pneumonia with increased aspiration risk. The clearing of oral salivary secretions may be impaired during deep sedation, particularly during peak drug concentrations. The swallowing of saliva is strongly inhibited during deep sleep [17]. Second, animal studies have indicated that GABA agonists can decrease extracellular striatal dopamine concentrations, and, therefore, BZDs may worsen PD symptoms [8]. Third, according to the anticholinergic burden score for drugs in Germany, BZDs and BZRDs have weak anticholinergic effects [18]. Medications exerting an anticholinergic effect may lead to oropharyngeal swallowing impairment, which results in aspiration pneumonia [19]. Anticholinergic drugs are one of the risk factors for pneumonia in older adult patients. As BZDs and BZRDs have weak anticholinergic effects, they may be associated with pneumonia risk among older adult patients with PD. Fourth, BZDs relax the lower esophageal sphincter and increase reflux events during sleep [20], which could increase pneumonia risk. BZDs decrease lower esophageal sphincter pressure, perhaps through the activation of peripherally situated GABA receptors [21]. Fifth, BZDs may directly influence the pulmonary system by activating GABA receptors located in the peripheral nervous system or peripheral tissue [21]. Importantly, mouse and human immune cells, (including alveolar macrophage) express GABA receptors [9], thus serving as translational evidence that humans may be at risk. BZDs depress central respiratory drive and decrease inspiratory and expiratory respiratory muscle strength in a dose-dependent manner, thus reducing respiration [22]. Similarly, BZRDs may cause respiratory depression by decreasing respiratory muscle strength, suppressing central respiratory drive, and increasing upper airway resistance [23]. Finally, BZRAs also suppress peripheral immunity through the activation of GABA receptors [9] or peripheral BZD receptors (PBRs) [24]. Several studies have indicated that the activation of GABA receptors may weaken the immune system [9]. An in vivo study showed that PBR ligands inhibit both inflammatory cytokine production in acute inflammation [25] and macrophage production of several key immune response cytokines [26].
Human epidemiological data have revealed that BZD use is a risk factor for complicated community-acquired lower respiratory tract infection [27]. BZDs are associated with increased pneumonia risk because BZDs have a relatively high affinity for both intracellular and cell surface receptors, whereas the GABAergic mechanism is probably responsible for BZRD-induced pneumonia owing to the lower affinity of BZRD for PBRs [28]. Different drugs have different pharmaceutical properties that can substantially affect biological properties. These individual BZD or BZRD drugs may have different action mechanisms that drive the development of pneumonia. To investigate the immune response among older adult patients with PD for each BZD or BZRD is necessary.
Our study revealed that several BZDs increase incident pneumonia risk, including midazolam, lorazepam, clonazepam, flunitrazepam, and estazolam. Midazolam use was likely to result in the development of pneumonia among older PD patients receiving BZDs, and midazolam users had a high incident pneumonia risk. Some possible mechanisms have been suggested that support the relationship between midazolam use and pneumonia risk. Midazolam probably acts on PBR, impairing the response to infection in mice, mainly through the inhibition of macrophage spread, phagocytosis function, and oxidative bursts of neutrophils and macrophages [11]. Another possible mechanism is that midazolam significantly increases the incidence of pharyngeal dysfunction from 16% to approximately 48% [29]. A study showed that at 2 h after midazolam administration, the swallowing reflex was depressed, thus increasing the latency time to initiate a swallowing action even after recovery to normal consciousness [30]. Our study found that lorazepam users had a high incident pneumonia risk. We found that clonazepam users had a high incident pneumonia risk. A study indicated that compared with other BZDs, clonazepam has a strong binding capacity to PBRs in rat aortic smooth muscles [31] and can thus impair the response to infection.
In theory, BZDs can normalize these brain areas in patients with hypoactive GABA [32]. In general, anxiogenic BZDs suppress the immune response, whereas anxiolytic BZDs may protect the individual from stress-induced immunosuppression [33]. Our study revealed that several BZDs decreased incident pneumonia risk, including alprazolam, oxazepam, and chlordiazepoxide. Alprazolam users had a low risk of incident pneumonia. An in vitro study demonstrated that triazolo-BZDs (alprazolam and triazolam) do not modify the phagocytosis and killing by human polymorphonuclear cells and monocytes. Alprazolam was found to be efficacious in controlling PD symptoms [34]. Our study revealed that chlordiazepoxide users had a low incident pneumonia risk. This may be because chlordiazepoxide is a BZD with anxiolytic and sedative-hypnotic properties [32]. However, the mechanism remains unclear, and further investigation is necessary. Furthermore, our study revealed that diazepam current users had a high incident pneumonia risk, whereas recent and past users had a low incident pneumonia risk. Another study reported that the dose-dependent effect of diazepine (ranging from stimulation to inhibition) may be caused by different BZD receptors involved in the process [35]. Previous studies have suggested that the long-term use of BZDs may weaken the immune system, although no conclusive evidence is available to support this claim [36].
BZRDs exhibit greater selectivity than BZDs do for GABA receptors containing alpha1 subunits, which exert considerable hypnotic effects [37]. BZD-induced pneumonia has a relatively high affinity for PBRs, whereas BZRD-induced pneumonia has a low affinity for PBRs [28]. Our study revealed that the risk of BZRD-induced pneumonia is lower than that of BZD-induced pneumonia among patients with PD. Furthermore, we found that compared with patients not receiving BZRDs (zolpidem and zopiclone), recent BZRD users had an increased incident pneumonia risk, whereas past users had a decreased incident pneumonia risk.
We observed that current and recent users of Zolpidem had a low incident pneumonia risk, whereas past users had a high incident pneumonia risk. Some possible mechanisms underlie the relationship between zolpidem use and pneumonia risk. Zolpidem may increase sleep apnea incidence and suppress the respiratory drive [38]. A study observed that zolpidem use increased infection risk in patients with sleep disturbance [39]. Several studies have shown that zolpidem can improve neuropsychiatric symptoms and motor dysfunction in patients with PD [40,41,42]. We found that zopiclone users had a high risk of incident pneumonia. Zopiclone may adversely affect the immune system, increasing the risk of infections. Obiora et al. found an approximately two-fold increase in pneumonia risk with BZD or zopiclone use within 30 days of therapy [43]. However, this study was limited by the effects of BZD and BZRD use not being distinguished. Furthermore, the effect of zopiclone on the immune system in patients with PD is unknown.
This study has several strengths. First, we used a large sample size that was representative of the entire Taiwanese population, which allowed for robust findings. This is a nationwide population-based case–control study with nearly complete follow-up information with regard to health care institutes among the whole study population, and the data set is routinely monitored for diagnostic accuracy by the NHI Bureau of Taiwan. Second, the follow-up period of this study was divided into current use (<30 days), recent use (31–90 days), and past use (>90 days) to investigate the relationship between drug use and pneumonia risk. Thus, the relationship between the drug and pneumonia risk at different stages of its use could be studied.
This study has several limitations that must be addressed. First, some factors related to pneumonia cannot be obtained from the LHID, such as alcohol consumption and smoking status, chest X-ray results, pneumonia etiology, and laboratory parameters. The LHID only can present information that are part of a health insurance declaration, and medical information in uninsured treatments cannot be obtained. Thus, the use of BZDs or BZRDs may be underestimated. Third, inclusion of prevalent BZD and BZRD users could potentially result in an underestimation of the overall risks because they might have developed a tolerance for pneumonia. Fourth, the study used only the ICD code to define diseases and did not consider medical procedure codes. Hence, pneumonia may be overrepresented. Fifth, this study was an observational study, which precluded any inference that BZD or BZRD use causes pneumonia. In future studies, information from other relational databases or questionnaires must be obtained to infer causality.

5. Conclusions

Older patients with PD receiving BZDs and BZRDs had associated with the risk of pneumonia. Among these medications, BZDs, such as midazolam, lorazepam, flunitrazepam, estazolam, and clonazepam, had the highest risk of pneumonia. Regarding the use of BZRDs, zopiclone also increased incident pneumonia risk. Clinicians should pay attention to the risk of pneumonia in older patients with PD who receive BZDs and BZRDs.

Author Contributions

Conceptualization, K.-H.H., C.-J.T. and C.-Y.L.; Data curation, Y.-H.K.; Formal analysis, Y.-C.C. and T.-H.T.; Funding acquisition, K.-H.H. and C.-Y.L.; Investigation, C.-J.T.; Methodology, K.-H.H., C.-J.T., Y.-H.K., Y.-C.C. and C.-Y.L.; Validation, Y.-H.K., Y.-C.C. and C.-Y.L.; Writing—original draft, K.-H.H., C.-J.T. and C.-Y.L.; Writing—review and editing, C.-Y.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ministry of Science and Technology Taiwan (MOST 105-2410-H-040 -014), Chung Shan Medical University Taiwan (CSMU-INT-109-07), and China Medical University Taiwan (CMU108-ASIA-13).

Institutional Review Board Statement

This study protocol was approved as a completely ethical review by the Central Regional Research Ethics Committee of China Medical University, Taiwan (No. CRREC-109-011). Due to the database being anonymous, the requirement for informed consent was waived.

Informed Consent Statement

Data were obtained from the Health and Welfare Data Science Center, Ministry of Health and Welfare Taiwan provides scrambled random identification numbers for insured patients to protect the privacy of beneficiaries. The data is anonymous, and the HWDC deidentifies insured patients to protect their privacy. The requirement for informed consent was waived. This study protocol was approved from a completely ethical review by the Central Regional Research Ethics Committee of China Medical University, Taiwan (No. CRREC-109-011).

Data Availability Statement

The National Health Insurance Database used to support the findings of this study were provided by the Health and Welfare Data Science Center, Ministry of Health and Welfare (HWDC, MOHW) under license and so cannot be made freely available. Requests for access to these data should be made to HWDC (https://dep.mohw.gov.tw/dos/np-2497-113.html, accessed on 12 July 2021).

Acknowledgments

We are grateful to Chung Shan Medical University, Taiwan, China Medical University, Taiwan, Asia University, Taiwan, and the Health Data Science Center, China Medical University Hospital, for providing administrative, technical, and funding support that has contributed to the completion of this study. This study is based, in part, on data released by the Health and Welfare Data Science Center, Ministry of Health and Welfare. The interpretation and conclusions contained herein do not represent those of the Ministry of Health and Welfare.

Conflicts of Interest

The authors declare no conflict of interest.

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Table 1. Baseline characteristics of older adult patients with Parkinson’s disease.
Table 1. Baseline characteristics of older adult patients with Parkinson’s disease.
VariablesPneumoniap-Value
WithoutWith
N%N%
Total441,580 100.00 110,395 100.00
Gender0.005
Female220,311 49.89 54,554 49.42
Male221,269 50.11 55,841 50.58
Age (year) 0.023
65–7016,185 3.67 4064 3.68
70–7564,198 14.54 16,039 14.53
75–80119,984 27.17 30,080 27.25
80–85136,585 30.93 34,545 31.29
≥85104,628 23.69 25,667 23.25
Mean ± SD79.94 ± 5.7480.14 ± 5.85
Income level0.965
Low income235,250 53.27 58,886 53.34
Middle income95,549 21.64 23,860 21.61
High income110,781 25.09 27,649 25.04
Urbanization0.463
Level 1100,034 22.65 25,063 22.70
Level 2126,121 28.56 31,408 28.45
Level 364,910 14.70 16,344 14.81
Level 480,281 18.18 19,887 18.01
Level 517,518 3.97 4321 3.91
Level 629,281 6.63 7462 6.76
Level 723,435 5.31 5910 5.35
CCI score0.992
010,504 2.38 2629 2.38
145,358 10.27 11,340 10.27
285,582 19.38 21,350 19.34
≥3300,136 67.97 75,076 68.01
Diabetes mellitus<0.001
No291,857 66.09 76,109 68.94
Yes149,723 33.91 34,286 31.06
Hypertension<0.001
No167,083 37.84 42,593 38.58
Yes274,497 62.16 67,802 61.42
Cerebrovascular disease<0.001
No266,852 60.43 60,600 54.89
Yes174,728 39.57 49,795 45.11
Arrhythmia<0.001
No381,796 86.46 94,022 85.17
Yes59,784 13.54 16,373 14.83
Upper respiratory tract infection<0.001
No269,133 60.95 68,469 62.02
Yes172,447 39.05 41,926 37.98
Congestive heart failure<0.001
No388,929 88.08 94,455 85.56
Yes52,651 11.92 15,940 14.44
Asthma<0.001
No401,943 91.02 95,638 86.63
Yes39,637 8.98 14,757 13.37
COPD<0.001
No335,009 75.87 67,621 61.25
Yes106,571 24.13 42,774 38.75
Periodontitis<0.001
No434,730 98.45 109,035 98.77
Yes6850 1.55 1360 1.23
Chronic kidney disease0.544
No430,789 97.56 107,732 97.59
Yes10,791 2.44 2663 2.41
Chronic liver disease<0.001
No396,726 89.84 101,256 91.72
Yes44,854 10.16 9139 8.28
Alcoholism0.713
No441,204 99.91 110,297 99.91
Yes376 0.09 98 0.09
Alzheimer disease<0.001
No408,047 92.41 98,103 88.87
Yes33,533 7.59 12,292 11.13
Rheumatoid arthritis<0.001
No433,895 98.26 108,813 98.57
Yes7685 1.74 1582 1.43
Cancer<0.001
No369,884 83.76 94,499 85.60
Yes71,696 16.24 15,896 14.40
Epilepsy<0.001
No431,457 97.71 104,411 94.58
Yes10,123 2.29 5984 5.42
Schizophrenia<0.001
No438,195 99.23 108,656 98.42
Yes3385 0.77 1739 1.58
Bipolar disorder<0.001
No436,522 98.85 108,831 98.58
Yes5058 1.15 1564 1.42
Major depressive disorder<0.001
No420,971 95.33 105,309 95.39
Yes20,609 4.67 5086 4.61
Anxiety<0.001
No363,846 82.40 95,365 86.39
Yes77,734 17.60 15,030 13.61
Table 2. Pneumonia risk associated with benzodiazepines use.
Table 2. Pneumonia risk associated with benzodiazepines use.
VariablesPneumonia
WithoutWithp-Value 1Adjusted Model 2
N%N%OR95% CIp-Value
Any one of BZD
No339,34580.6981,20319.31 1
Current users102,23577.7929,19222.21<0.0011.251.231.27<0.001
Recent users145,25080.3435,55319.66<0.0011.011.001.030.093
Past users324,64779.5683,39720.44<0.0011.131.111.1<0.001
Short-acting
Midazolam
No438,86980.30107,69419.70 1
Current users271150.09270149.91<0.0013.933.714.15<0.001
Recent users403375.54130624.46<0.0011.261.181.35<0.001
Past users28,62474.0210,04825.98<0.0011.291.261.32<0.001
Triazolam
No439,37780.00109,82820.00 1
Current users220379.5356720.470.5361.050.951.150.324
Recent users307481.8268318.180.0050.930.861.010.101
Past users15,20478.87407321.13<0.0011.000.961.040.952
Intermediate-acting
Alprazolam
No412,90179.88104,00920.12 1
Current users28,67981.79638618.21<0.0010.940.910.96<0.001
Recent users42,46882.90875817.10<0.0010.880.860.90<0.001
Past users161,77480.4839,23219.52<0.0010.940.930.95<0.001
Lorazepam
No417,68680.23102,90019.77 1
Current users23,89476.12749523.88<0.0011.271.241.31<0.001
Recent users35,12279.26918920.74<0.0011.081.051.11<0.001
Past users162,82178.4044,86721.60<0.0011.161.141.18<0.001
Flunitrazepam
No437,60280.03109,21419.97 1
Current users397877.11118122.89<0.0011.151.081.23<0.001
Recent users535578.38147721.62<0.0011.111.051.18<0.001
Past users19,11876.64582723.36<0.0011.121.081.15<0.001
Estazolam
No423,08480.18104,59019.82 1
Current users18,49676.11580523.89<0.0011.281.241.32<0.001
Recent users27,49678.44755821.56<0.0011.141.111.18<0.001
Past users98,43978.2227,41621.78<0.0011.111.101.13<0.001
Oxazepam
No440,85579.99110,26920.01 1
Current users72585.1912614.81<0.0010.680.560.83<0.001
Recent users100983.8019516.20<0.0010.800.680.930.005
Past users725780.171,79519.830.6830.960.911.010.106
Long-acting
Diazepam
No431,02980.02107,60319.98 1
Current users10,55179.08279220.920.0071.081.031.130.001
Recent users16,79683.65328416.35<0.0010.820.790.85<0.001
Past users136,67780.7632,57019.24<0.0010.900.880.91<0.001
Clonazepam
No409,75980.14101,52219.86 1
Current users31,82178.20887321.80<0.0011.101.071.13<0.001
Recent users47,50479.4512,28620.55<0.0011.051.031.07<0.001
Past users146,60079.2338,43620.77<0.0011.051.031.06<0.001
Chlordiazepoxide
No440,72879.99110,24420.01 1
Current users85284.9515115.05<0.0010.750.630.890.001
Recent users131186.4820513.52<0.0010.700.600.81<0.001
Past users14,16681.76316118.24<0.0010.900.870.94<0.001
Flurazepam
No440,85780.01110,16419.99 1
Current users72375.7923124.210.0011.191.021.390.024
Recent users105778.4729021.530.1601.100.971.260.146
Past users782679.77198520.230.5620.930.890.980.008
1 Chi-square test. 2 All models were analyzed via the conditional logistic regression. Extraneous factors adjusted in the model contained all comorbidities.
Table 3. Pneumonia risk associated with benzodiazepine related drugs use.
Table 3. Pneumonia risk associated with benzodiazepine related drugs use.
VariablesPneumonia
WithoutWithp-Value 1Adjusted Model 2
N%N%OR95% CIp-Value
Any one of BZRD
No407,77979.95102,23820.05 1
Current users33,80180.56815719.440.0031.020.99–1.040.239
Recent users47,71481.4210,89118.58<0.0011.081.06–1.11<0.001
Past users158,30878.7242,78721.28<0.0010.890.88–0.91<0.001
Zolpidem
No414,81879.91104,31920.09 1
Current users26,76281.50607618.50<0.0010.940.91–0.97<0.001
Recent users38,00582.28818717.72<0.0010.880.86–0.91<0.001
Past users140,52678.9937,37921.01<0.0011.071.06–1.09<0.001
Zopiclone
No433,95880.05108,15319.95 1
Current users762277.27224222.73<0.0011.141.08–1.20<0.001
Recent users11,01478.50301721.50<0.0011.071.02–1.110.003
Past users50,76777.4914,74422.51<0.0011.111.08–1.13<0.001
1 Chi-square test. 2 All models were analyzed via the conditional logistic regression. Extraneous factors adjusted in the model contained all comorbidities.
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Huang, K.-H.; Tai, C.-J.; Kuan, Y.-H.; Chang, Y.-C.; Tsai, T.-H.; Lee, C.-Y. Pneumonia Risk Associated with the Use of Individual Benzodiazepines and Benzodiazepine Related Drugs among the Elderly with Parkinson’s Disease. Int. J. Environ. Res. Public Health 2021, 18, 9410. https://doi.org/10.3390/ijerph18179410

AMA Style

Huang K-H, Tai C-J, Kuan Y-H, Chang Y-C, Tsai T-H, Lee C-Y. Pneumonia Risk Associated with the Use of Individual Benzodiazepines and Benzodiazepine Related Drugs among the Elderly with Parkinson’s Disease. International Journal of Environmental Research and Public Health. 2021; 18(17):9410. https://doi.org/10.3390/ijerph18179410

Chicago/Turabian Style

Huang, Kuang-Hua, Chih-Jaan Tai, Yu-Hsiang Kuan, Yu-Chia Chang, Tung-Han Tsai, and Chien-Ying Lee. 2021. "Pneumonia Risk Associated with the Use of Individual Benzodiazepines and Benzodiazepine Related Drugs among the Elderly with Parkinson’s Disease" International Journal of Environmental Research and Public Health 18, no. 17: 9410. https://doi.org/10.3390/ijerph18179410

APA Style

Huang, K. -H., Tai, C. -J., Kuan, Y. -H., Chang, Y. -C., Tsai, T. -H., & Lee, C. -Y. (2021). Pneumonia Risk Associated with the Use of Individual Benzodiazepines and Benzodiazepine Related Drugs among the Elderly with Parkinson’s Disease. International Journal of Environmental Research and Public Health, 18(17), 9410. https://doi.org/10.3390/ijerph18179410

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