<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">PP</journal-id><journal-title-group><journal-title>Pharmacology &amp; Pharmacy</journal-title></journal-title-group><issn pub-type="epub">2157-9423</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/pp.2018.912040</article-id><article-id pub-id-type="publisher-id">PP-89136</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject><subject> Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Onset Time Profiles for Syncope Associated with &lt;i&gt;α&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;-Adrenoceptor Blockers in Males: Analysis of a Spontaneous Adverse Drug Event Database
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Katsuhiro</surname><given-names>Ohyama</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Masaya</surname><given-names>Furumoto</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Munetoshi</surname><given-names>Sugiura</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Drug Safety and Risk Management, School of Pharmacy, Tokyo University of Pharmacy and Life Science, Tokyo, Japan</addr-line></aff><aff id="aff1"><addr-line>Center for Experiential Pharmacy Practice, School of Pharmacy, Tokyo University of Pharmacy and Life Science, Tokyo, Japan</addr-line></aff><pub-date pub-type="epub"><day>07</day><month>12</month><year>2018</year></pub-date><volume>09</volume><issue>12</issue><fpage>515</fpage><lpage>526</lpage><history><date date-type="received"><day>1,</day>	<month>November</month>	<year>2018</year></date><date date-type="rev-recd"><day>11,</day>	<month>December</month>	<year>2018</year>	</date><date date-type="accepted"><day>14,</day>	<month>December</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   
   <b>Background: </b>
   α
   <sub>1</sub>
   -Adrenoceptor blockers (α1Bs) are used for the treatment of benign prostatic hyperplasia and hypertension, but they are known to cause hypotension-related adverse events. The objective of the present study was to evaluate the onset time profiles for syncope associated with the use of α1Bs. <b>Methods: </b>We analyzed the data obtained from the Japanese Adverse Drug Event Report (JADER) database
    
   for a period from April 2004 until November 2016 and calculated reporting odds ratios (RORs) for eight α1Bs available on the Japanese market, using disproportionality analysis. Moreover, time information recorded in the JADER database was analyzed to evaluate the onset times
    
   of adverse events. <b>Results: </b>In total, 186,724 reports for males older than 20 years were analyzed. Significant RORs for syncope,
    
   with 95% confidence intervals, were obtained for naftopidil (2.53, 1.81
    - 
   3.53), silodosin (4.24, 2.37 - 5.20), and tamsulosin (2.22, 1.75
    - 
   2.81). The median onset times of syncope for naftopidil, silodosin, and tamsulosin were 37, 26, and 108 days, respectively. The shape parameters obtained by fitting the data for the three α1Bs
    
   to the Weibull distribution were all less than 1.0, indicating that all these
    
   drugs could be classified as the early failure type. The cumulative incidence rates showed that the onset times of syncope tended to be similar among the three α1Bs.
    
   <b>Conclusions: </b>
   Patients treated with selective α1Bs should be closely monitored for 100 days, especially in the first 20 to 40 days after initiation of silodosin or naftopidil. This information may be useful for patients and healthcare professionals
    
   in
    
   preventing syncope due to the use of selective α1Bs. 
  
 
</p></abstract><kwd-group><kwd>Reporting Odds Ratio</kwd><kwd> Adverse Drug Event Report Database</kwd><kwd> Syncope</kwd><kwd> &lt;i&gt;α&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;-Adrenoceptor Blocker</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>α<sub>1</sub>-Adrenoceptor blockers (α1Bs) are most commonly indicated for the treatment of benign prostatic hyperplasia (BPH) but can also be used for the treatment of hypertension because of their ability to decrease blood pressure. These drugs are divided into two groups, depending on whether they display selectivity for α<sub>1</sub>-adrenoceptor subtypes (<xref ref-type="table" rid="table1">Table 1</xref>). The guidelines of the Japanese Society of Hypertension (JSH) [<xref ref-type="bibr" rid="scirp.89136-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref3">3</xref>] recommend that non-selective α1Bs are preferably used for hypertensive patients with BPH; however, the indications of α1Bs for the treatment of hypertension are becoming more restricted [<xref ref-type="bibr" rid="scirp.89136-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref5">5</xref>] . In contrast, selective α1Bs are used as first-line therapies for BPH [<xref ref-type="bibr" rid="scirp.89136-ref6">6</xref>] . α<sub>1</sub>-Adrenoceptors are classified into three subtypes. The α<sub>1A</sub> subtype primarily regulates the smooth muscle tone and is expressed in the bladder neck and prostate gland [<xref ref-type="bibr" rid="scirp.89136-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref8">8</xref>] ; the α<sub>1B</sub> subtype regulates arterial smooth muscles which mediate blood pressure; and the α<sub>1D</sub> subtype is expressed in the detrusor muscle and sacral spinal cord, both involved in bladder filling [<xref ref-type="bibr" rid="scirp.89136-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref9">9</xref>] . Since selective α1Bs can only target the prostate gland or bladder smooth muscle, they are expected to generate fewer adverse drug events, such as dizziness, hypotension, and syncope, than do non-selective α1Bs.</p><p>Syncope is defined as “a transient loss of consciousness due to transient global cerebral hypoperfusion characterized by rapid onset, short duration, and spontaneous complete recovery” [<xref ref-type="bibr" rid="scirp.89136-ref10">10</xref>] . A fall in systolic blood pressure to 60 mmHg or lower is associated with syncope in the absence of compensatory mechanisms and inadequate automatic regulation of systemic or cerebral blood flow [<xref ref-type="bibr" rid="scirp.89136-ref11">11</xref>] . Syncope leads to falls, which can cause minor injuries or major morbidities. Indeed, 17% of the patients with syncope visited an emergency department with bruises or lacerations on the head and face [<xref ref-type="bibr" rid="scirp.89136-ref12">12</xref>] ; fractures and motor vehicle accidents due to syncope have also been reported [<xref ref-type="bibr" rid="scirp.89136-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref14">14</xref>] .</p><p>Adverse event databases are repositories of information, overseen by regulatory authorities of each country and used to quickly find adverse events caused by marketed drugs. The Japanese Adverse Drug Event Report (JADER) database, managed by the Pharmaceutical and Medical Devices Agency (PMDA), which is the regulatory authority in Japan, is a publicly available database, suitable for analyzing adverse events.</p><p>Depending on circumstances, spasmodic loss of consciousness can cause substantial injuries, such as bone fractures, hospitalizations, and fatalities. As reported previously [<xref ref-type="bibr" rid="scirp.89136-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref18">18</xref>] , if an adverse event (e.g., syncope) is attributable to a drug, knowing in advance the approximate onset time and tendency</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> α<sub>1</sub>-Adrenoceptor blockers available on the market in Japan</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >α1 Subtype receptor selectivity</th><th align="center" valign="middle"  rowspan="2"  >Drug name</th><th align="center" valign="middle"  colspan="2"  >Indication</th></tr></thead><tr><td align="center" valign="middle" >Hypertension</td><td align="center" valign="middle" >Benign prostatic hyperplasia</td></tr><tr><td align="center" valign="middle" >Non-selective</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Prazosin</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >+</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Bunazosin</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >?</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Terazosin</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >+</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Urapidil</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >+</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Doxazosin</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >?</td></tr><tr><td align="center" valign="middle" >Selective</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Naftopidil</td><td align="center" valign="middle" >?</td><td align="center" valign="middle" >+</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Silodosin</td><td align="center" valign="middle" >?</td><td align="center" valign="middle" >+</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Tamsulosin</td><td align="center" valign="middle" >?</td><td align="center" valign="middle" >+</td></tr></tbody></table></table-wrap><p>for occurrence of such an event would allow the patient to be alerted and avoid or minimize the potential injury. Therefore, to evaluate the onset time of syncope due to α1B usage, a disproportionality analysis was performed in this study to examine the association between α1B use and syncope in males. Furthermore, for each drug for which statistical significance was detected, its onset time profile was evaluated using the time information available in the JADER database.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Data Source</title><p>The data recorded in the JADER database from April 2004 to November 2016 were downloaded from the PMDA website. The database consists of four data sets: patient demographic information (DEMO), drug information (DRUG), adverse event (REAC), and primary disease (HIST). A flowchart of the steps involved in the construction of a data analysis table is provided in <xref ref-type="fig" rid="fig1">Figure 1</xref>. In the present study, we only extracted data for males over 20 years old.</p></sec><sec id="s2_2"><title>2.2. Study Drugs and Definition of Adverse Events</title><p>The drugs of interest were eight α1Bs (prazosin, bunazosin, terazosin, urapidil, doxazosin, naftopidil, silodosin, and tamsulosin) available on the market in Japan. The route of administration was limited to oral administration. The adverse events listed in REAC are based on the medical terminology used in the Medical Dictionary for Regulatory Activities (MedDRA) as preferred terms (PTs). PTs also include various conditions as lowest level terms (LLTs). For the detection of syncope, we used “syncope” (PT 10042772) and “loss of consciousness” (PT 10024855), which includes “transient loss of consciousness” (LLT 10077573), as LLTs from the MedDRA ver. 18.0.</p></sec><sec id="s2_3"><title>2.3. Data Analysis</title><sec id="s2_3_1"><title>2.3.1. Reporting Odds Ratio (ROR)</title><p>RORs, safety signal indexes for adverse drug events, were calculated using a data mining algorithm, (a:c)/(b:d) [<xref ref-type="bibr" rid="scirp.89136-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref22">22</xref>] , where the letters refer to the following: a) individuals who were administered the drug of interest (e.g., an α1B) and experienced an adverse event (e.g., syncope); b) individuals who were administered the drug of interest but did not experience the adverse event; c) individuals who were not administered the drug of interest but experienced the adverse event; and d) individuals who were not administered the drug of interest and did not experience the adverse event. The signal was considered significant when the estimated ROR and the lower limit of the corresponding 95% confidence interval (CI) were greater than 1.0.</p></sec><sec id="s2_3_2"><title>2.3.2. Onset Times of Adverse Events</title><p>The onset time of an adverse event was calculated by adding 1 day to the number of days from the time of initiation of the drug of interest until the occurrence of the adverse event using the time information recorded in the JADER database. After the data with incomplete adverse event or prescription initiation dates were excluded, box plots of the relationships between the drugs and onset times of the adverse event were created, and the median data were compared for different drugs.</p><p>Furthermore, a Weibull distribution was used to evaluate the expression profile of the adverse event using the Weibull shape parameter test [<xref ref-type="bibr" rid="scirp.89136-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref24">24</xref>] . The Weibull distribution is expressed using a scale parameter, α, and a shape parameter, β. The scale parameter α represents the scale of the distribution function. A larger scale value stretches the distribution, while a smaller scale value shrinks the data distribution. The shape parameter β represents the change in the hazard over time. There are three types of failure, according to the value of β, as follows: β &lt; 1 indicates that the hazard increases at an early stage but subsequently decreases (early failure type); β = 1 indicates that the hazard is constant over the time of exposure (random failure type); and β &gt; 1 indicates that the hazard increases over time (wear-out failure type). Plots of the cumulative incidence of syncope for the α1B drugs were constructed using the Kaplan?Meier method.</p><p>We set the maximum number of days to the onset of adverse events to 730. Data analysis was performed using JMP Pro 13.0 (SAS Institute, Inc., Cary, NC, USA).</p></sec></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. JADER Data</title><p>The JADER data, containing 426,216 reports from April 2004 to November 2016, were downloaded from the PMDA website. After extracting data for males older than 20 years, 186,724 reports (41.8% of the data) were used for analysis. Numbers of reports in the JADER database by age groups of the male patients analyzed in this study are described in <xref ref-type="table" rid="table2">Table 2</xref>.</p></sec><sec id="s3_2"><title>3.2. ROR Values</title><p>Ninety-six reports were extracted for prazosin, 57 for bunazosin, 50 for terazosin, 252 for urapidil, 1,929 for doxazosin, 1,678 for naftopidil, 1,627 for silodosin, and 3,965 for tamsulosin. There were 288 reports of syncope and 1,346 reports of loss of consciousness as adverse events. After cases with identical identification numbers were excluded from the analysis, the associations between α1Bs and syncope were determined, and the results are shown in <xref ref-type="table" rid="table3">Table 3</xref>. The ROR values (95% CI) for α1Bs that were found to be statistically significant for syncope were 2.53 (1.81 - 3.53) for naftopidil, 4.25 (3.25 - 5.60) for silodosin, and 2.22 (1.75 - 2.81) for tamsulosin (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec><sec id="s3_3"><title>3.3. Onset Times of the Adverse Event</title><p>Box plots with the median values of the onset times of the adverse event are shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>. The median numbers of days (with interquartile ranges) for syncope were 37 (4 - 184) for naftopidil, 26 (4 - 391) for silodosin, and 108 (15 - 341) for tamsulosin.</p><p>The results of the Weibull distribution analysis for the three drugs are summarized in <xref ref-type="table" rid="table4">Table 4</xref>. The lower limits of the 95% CI for the shape parameter β were all &lt;1, indicating the early failure type. The cumulative incidence rates of syncope, generated by the Kaplan?Meier method for naftopidil, silodosin, and tamsulosin, are shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>. Although naftopidil and tamsulosin administration resulted in the earliest and latest onsets of syncope, respectively, in the first 350 days, the overall onset times of syncope were similar among the three α1Bs.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Numbers of reports in the JADER database by age groups of the male patients analyzed in this study</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Number of reports</th><th align="center" valign="middle" >Percent</th></tr></thead><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >186,724</td><td align="center" valign="middle" >100.00</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >186,724</td><td align="center" valign="middle" >100.00</td></tr><tr><td align="center" valign="middle" >Age (years)*</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >20 - 29</td><td align="center" valign="middle" >5,651</td><td align="center" valign="middle" >3.03</td></tr><tr><td align="center" valign="middle" >30 - 39</td><td align="center" valign="middle" >10,119</td><td align="center" valign="middle" >5.42</td></tr><tr><td align="center" valign="middle" >40 - 49</td><td align="center" valign="middle" >14,854</td><td align="center" valign="middle" >7.96</td></tr><tr><td align="center" valign="middle" >50 - 59</td><td align="center" valign="middle" >27,541</td><td align="center" valign="middle" >14.75</td></tr><tr><td align="center" valign="middle" >60 - 69</td><td align="center" valign="middle" >50,327</td><td align="center" valign="middle" >26.95</td></tr><tr><td align="center" valign="middle" >70 - 79</td><td align="center" valign="middle" >53,152</td><td align="center" valign="middle" >28.47</td></tr><tr><td align="center" valign="middle" >80 - 89</td><td align="center" valign="middle" >21,681</td><td align="center" valign="middle" >11.61</td></tr><tr><td align="center" valign="middle" >90 - 99</td><td align="center" valign="middle" >1,859</td><td align="center" valign="middle" >1.00</td></tr><tr><td align="center" valign="middle" >100&gt;</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >0.02</td></tr><tr><td align="center" valign="middle" >Adult</td><td align="center" valign="middle" >663</td><td align="center" valign="middle" >0.36</td></tr><tr><td align="center" valign="middle" >The aged</td><td align="center" valign="middle" >841</td><td align="center" valign="middle" >0.45</td></tr></tbody></table></table-wrap><p>*Age groups correspond to those provided in the DEMO table.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Signal detection for α<sub>1</sub>-adrenoceptor blockers associated with syncope</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Drug name</th><th align="center" valign="middle" >Total number of reports</th><th align="center" valign="middle" >Number of cases</th><th align="center" valign="middle" >Reporting ratio (%)</th><th align="center" valign="middle" >ROR</th><th align="center" valign="middle" >95% CI</th></tr></thead><tr><td align="center" valign="middle" >Prazosin</td><td align="center" valign="middle" >96</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >?</td><td align="center" valign="middle" >?</td></tr><tr><td align="center" valign="middle" >Bunazosin</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.75</td><td align="center" valign="middle" >2.03</td><td align="center" valign="middle" >0.28 - 14.7</td></tr><tr><td align="center" valign="middle" >Terazosin</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >?</td><td align="center" valign="middle" >?</td></tr><tr><td align="center" valign="middle" >Urapidil</td><td align="center" valign="middle" >252</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >1.98</td><td align="center" valign="middle" >2.31</td><td align="center" valign="middle" >0.95 - 5.60</td></tr><tr><td align="center" valign="middle" >Doxazosin</td><td align="center" valign="middle" >1929</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >0.88</td><td align="center" valign="middle" >1.01</td><td align="center" valign="middle" >0.63 - 1.64</td></tr><tr><td align="center" valign="middle" >Tamsulosin</td><td align="center" valign="middle" >3965</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >1.87</td><td align="center" valign="middle" >2.22</td><td align="center" valign="middle" >1.75 - 2.81</td></tr><tr><td align="center" valign="middle" >Naftopidil</td><td align="center" valign="middle" >1678</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >2.15</td><td align="center" valign="middle" >2.53</td><td align="center" valign="middle" >1.81 - 3.53</td></tr><tr><td align="center" valign="middle" >Silodosin</td><td align="center" valign="middle" >1627</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >3.50</td><td align="center" valign="middle" >4.25</td><td align="center" valign="middle" >3.25 - 5.60</td></tr></tbody></table></table-wrap><p>The definition of syncope included syncope (PT 10042772) and loss of consciousness (PT 10024855). Cases with identical identification numbers were excluded from the analysis since a single report included several drugs from the same category. Reporting ratio (%) = Number of cases/Total number of reports &#215; 100. ROR: reporting odds ratio. 95% CI: 95% confidence interval.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Weibull shape parameters of onset times of syncope due to α<sub>1</sub>-adrenoceptor blockers</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Drug name</th><th align="center" valign="middle" >Number of cases</th><th align="center" valign="middle" >Scale parameter α (95% CI)</th><th align="center" valign="middle" >Shape parameter β (95% CI)</th></tr></thead><tr><td align="center" valign="middle" >Naftopidil</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >91.6 (41.1 - 195)</td><td align="center" valign="middle" >0.52 (0.38 - 0.69)</td></tr><tr><td align="center" valign="middle" >Silodosin</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >97.2 (51.2 - 179)</td><td align="center" valign="middle" >0.51 (0.40 - 0.63)</td></tr><tr><td align="center" valign="middle" >Tamsulosin</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >162 (90.2 - 282)</td><td align="center" valign="middle" >0.69 (0.50 - 0.90)</td></tr></tbody></table></table-wrap><p>95% CI: 95% confidence interval.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Knowing in advance the approximate onset times of adverse events would be useful information to avoid those. In the present study, we evaluated the onset time profiles of syncope due to the use of individual α1Bs.</p><p>For more than 10 years since the JSH published its first guidelines on the management of hypertension in 2000 (JSH2000), α1Bs had been preferably indicated for hypertensive patients with BPH. However, the guidelines were updated in 2014 to recommend that caution be exercised when treating elderly hypertensive patients [<xref ref-type="bibr" rid="scirp.89136-ref4">4</xref>] . Moreover, the 2015 guidelines for medical treatment and safety in the elderly [<xref ref-type="bibr" rid="scirp.89136-ref5">5</xref>] recommended that α1Bs be maximally avoided for elderly patients with hypertension. Thus, the recent indications of α1Bs for hypertension are so few that the small numbers of reports remaining in the JADER database are likely to represent the background.</p><p>Tamsulosin, naftopidil, and silodosin were shown to be selective for the α<sub>1B</sub>-adrenoceptor subtype, with 15.3-, 5.4-, and 583-fold higher affinity than that for the α<sub>1A</sub>-adrenoceptor subtype and 4.6-, 16.7-, and 10.5-fold higher affinity than that for the α<sub>1D</sub>-adrenoceptor subtype, respectively [<xref ref-type="bibr" rid="scirp.89136-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref26">26</xref>] . However, in the present study, using adverse event data from clinical reports, significant signals were detected for the three selective α1Bs, but no significance was found for the non-selective α1Bs, including doxazosin, despite a sufficient number of reports. The reasons for these findings are unclear, but one of the likely explanations may be differences in the numbers of reports in the JADER database. As described above, there are relatively few reports on the non-selective α1Bs in the JADER database, as compared with those on the selective α1Bs. The differences may be due to some reporting biases because it is worth reporting severe adverse events, such as syncope, that are attributable to selective α1Bs, whereas orthostatic hypotension, an adverse event caused by non-selective α1Bs, is too common to be reported. Furthermore, concomitant medications coadministered for hypertension may be responsible for the findings. Lai et al. [<xref ref-type="bibr" rid="scirp.89136-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref28">28</xref>] have reported that during an early period after treatment initiation, α1B therapy in patients not taking antihypertensive medications was associated with an increased risk of ischemic stroke and hip/femur fracture, which are severe adverse effects due to α1Bs. The non-selective α1Bs examined in the present study were supposedly indicated for hypertensive BPH patients. Therefore, it would be unlikely for patients taking antihypertensive medications to experience severe adverse events sequential to orthostatic hypotension.</p><p>The median values (with interquartile ranges) of the onset times of syncopewere close for naftopidil and silodosin, 37 (4 - 184) and 26 (4 - 391) days, respectively (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Tamsulosin showed a later onset, 108 (15 - 341) days, than did the other two drugs (<xref ref-type="fig" rid="fig2">Figure 2</xref>); however, based on the expression profiles of the adverse event, all three α1Bs were of the early failure type (<xref ref-type="table" rid="table4">Table 4</xref>). Therefore, patients treated with α1Bs should be closely monitored for syncope for 100 days, especially in the first 20 to 40 days after initiation of naftopidil or silodosin.</p><p>According to the Weibull shape parameter test, there was anincrease in adverse events at an early stage, indicating that syncope was likely caused by hypotension-related adverse events due to the α<sub>1</sub>-adrenoceptor-blocking activity. We also calculated the onset times of orthostatic hypotension-related adverse events, using PTs for orthostatic hypotension (PT 10031127), dizziness (PT 10013573), and dizziness postural (PT 10013578), and the median values (with interquartile ranges) were 8 (1 - 149) for naftopidil, 3 (1 - 11) for silodosin, and 71 (15 - 730) days for tamsulosin (data not shown).Considering the median onsettimes of syncope, one of the precursor symptoms would have preceded the occurrence of syncope. In the clinic, patients with these precursor symptoms can be routinely treated to avoid inadequate regulation of systemic or cerebral blood flow.</p><p>There are several limitations in this study. First, the reports examined in this study may have included syncope due to factors other than orthostatic hypotension since syncope is classified into three types, namely, syncope due to orthostatic hypotension, neurallymediated syncope, and cardiac syncope [<xref ref-type="bibr" rid="scirp.89136-ref10">10</xref>] . There is a possibility that we included α1Bs that were administered to patients with cardiac arrhythmias, coronary artery disease, or myocardial infarction. In addition, owing to the background α1B indications, only reports for males were extracted and analyzed. Moreover, spontaneous reporting systems have limitations, including the lack of details needed to assess causal associations, generalized underreporting bias, dependence of the reporting rate on the time of the presence of each drug on the market, exclusion of healthy individuals, and the lack of denominators [<xref ref-type="bibr" rid="scirp.89136-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.89136-ref29">29</xref>] . We excluded some data because of the missing dates, making it impossible to calculate the onset time. However, despite the unique limitations of spontaneous adverse event reporting systems, our study revealed typical onset times of adverse events.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In conclusion, in the present study, we found, using the information from the JADER database, that the use of selective α1Bs was associated with syncope, and the onset time profiles for syncope were similar among the drugs. Therefore, patients treated with selective α1Bs should be closely monitored for 100 days, especially in the first 20 to 40 days after initiation of silodosin or naftopidil. We hope that this information will be useful for patients and healthcare professionals in preventing syncope due to the use of selective α1Bs.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Ohyama, K., Furumoto, M. and Sugiura, M. (2018) Onset Time Profiles for Syncope Associated with α<sub>1</sub>-Adrenoceptor Blockers in Males: Analysis of a Spontaneous Adverse Drug Event Database. Pharmacology &amp; Pharmacy, 9, 515-526. https://doi.org/10.4236/pp.2018.912040</p></sec></body><back><ref-list><title>References</title><ref id="scirp.89136-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Japanese Society of Hypertension Guidelines Subcommittee for the Management of Hypertension (2001) Guidelines for the Management of Hypertension for General Practitioners. Hypertension Research, 24, 613-634.</mixed-citation></ref><ref id="scirp.89136-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Japanese Society of Hypertension (2006) Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2004). Hypertension Research, 29, S1-S105.</mixed-citation></ref><ref id="scirp.89136-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Ogihara, T., Kikuchi, K., Matsuoka, H., Fujita, T., Higaki, J., Horiuchi, M., Imai, Y., Imaizumi, T., Ito, S., Iwao, H., Kario, K., Kawano, Y., Kim-Mitsuyama, S., Kimura, G., Matsubara, H., Matsuura, H., Naruse, M., Saito, I., Shimada, K., Shimamoto, K., Suzuki, H., Takishita, S., Tanahashi, N., Tsuchihashi, T., Uchiyama, M., Ueda, S., Ueshima, H., Umemura, S., Ishimitsu, T. and Rakugi, H. (2009) The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2009). Hypertension Research, 32, 3-107. https://doi.org/10.1038/hr.2009.34</mixed-citation></ref><ref id="scirp.89136-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Shimamoto, K., Ando, K., Fujita, T., Hasebe, N., Higaki, J., Horiuchi, M., Imai, Y., Imaizumi, T., Ishimitsu, T., Ito, M., Ito, S., Itoh, H., Iwao, H., Kai, H., Kario, K., Kashihara, N., Kawano, Y., Kim-Mitsuyama, S., Kimura, G., Kohara, K., Komuro, I., Kumagai, H., Matsuura, H., Miura, K., Morishita, R., Naruse, M., Node, K., Ohya, Y., Rakugi, H., Saito, I., Saitoh, S., Shimada, K., Shimosawa, T., Suzuki, H., Tamura, K., Tanahashi, N., Tsuchihashi, T., Uchiyama, M., Ueda, S. and Umemura, S. Japanese Society of Hypertension Committee for Guidelines for the Management of Hypertension (2014) The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2014). Hypertension Research, 37, 253-387. https://doi.org/10.1038/hr.2014.20</mixed-citation></ref><ref id="scirp.89136-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">The Japan Geriatrics Society (2015) Guidelines for Medical Treatment and Its Safe for the Elderly 2015. Medical Review, Tokyo.</mixed-citation></ref><ref id="scirp.89136-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">The Japanese Urological Association (2011) Clinical Guideline for Benign Prostatic Hyperplasia. RichHill Medical Inc., Tokyo.</mixed-citation></ref><ref id="scirp.89136-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Schwinn, D.A. and Michelotti, G.A. (2000) Alpha11-Adrenergic Receptors in the Lower Urinary Tract and Vascular Bed: Potential Role for the a1D-Subtype in Filling Symptoms and Effects of Ageing on Vascular Expression. BJU International, 85, 6-11. https://doi.org/10.1046/j.1464-410X.2000.00061.x</mixed-citation></ref><ref id="scirp.89136-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Hatano, A., Takahashi, H., Tamaki, M., Komeyama, T., Koizumi, T. and Takeda, M. (1994) Pharmacological Evidence of Distinct Alpha 1-Adrenoreceptor Subtypes Mediating the Contraction of Human Prostatic Urethra and Peripheral Artery. British Journal of Pharmacology, 113, 723-728. https://doi.org/10.1111/j.1476-5381.1994.tb17053.x</mixed-citation></ref><ref id="scirp.89136-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">De Mey, C. (1999) Alpha(1)-Blockers for BPH: Are There Differences? European Urology, 36, 52-63. https://doi.org/10.1159/000052349</mixed-citation></ref><ref id="scirp.89136-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Task Force for the Diagnosis and Management of Syncope (2009) Guidelines for the Diagnosis and Management of Syncope (Version 2009). European Heart Journal, 30, 2631-2671.</mixed-citation></ref><ref id="scirp.89136-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Sheldon, R. and Killam, S. (1992) Methodology of Isoproterenol-Tilt Table Testing in Patients with Syncope. Journal of the American College of Cardiology, 19, 773-779. https://doi.org/10.1016/0735-1097(92)90517-Q</mixed-citation></ref><ref id="scirp.89136-ref12"><label>12</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Hori</surname><given-names> S. </given-names></name>,<etal>et al</etal>. (<year>1994</year>)<article-title>Diagnosis of Patients with Syncope in Emergency Medicine</article-title><source> Keio Journal of Medicine</source><volume> 43</volume>,<fpage> 185</fpage>-<lpage>191</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.89136-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">B&amp;#228;nsch, D., Brunn, J., Castrucci, M., Weber, M., Gietzen, F., Borggrefe, M., Breithardt, G. and Block, M. (1998) Syncope in Patients with an Implantable Cardioverter-Defibrillator: Incidence, Prediction and Implications for Driving Restrictions. Journal of the American College of Cardiology, 31, 608-615. https://doi.org/10.1016/S0735-1097(97)00543-3</mixed-citation></ref><ref id="scirp.89136-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Bhatia, A., Dhala, A., Blanck, Z., Deshpande, S., Akhtar, M. and Sra, A.J. (1999) Driving Safety among Patients with Neurocardiogenic (Vasovagal) Syncope. Pacing and Clinical Electrophysiology, 22, 1576-1580. https://doi.org/10.1111/j.1540-8159.1999.tb00375.x</mixed-citation></ref><ref id="scirp.89136-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Nakamura, M., Umetsu, R., Abe, J., Matsui, T., Ueda, N., Kato, Y., Sasaoka, S., Tahara, K., Takeuchi, H. and Kinosada, Y. (2015) Analysis of the Time-to-Onset of Osteonecrosis of Jaw with Bisphosphonate Treatment Using the Data from a Spontaneous Reporting System of Adverse Drug Events. Journal of Pharmaceutical Health Care and Science, 1, 34. https://doi.org/10.1186/s40780-015-0035-2</mixed-citation></ref><ref id="scirp.89136-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Kose, E., Uno, K. and Hayashi, H. (2017) Evaluation of the Expression Profile of Extrapyramidal Symptoms Due to Antipsychotics by Data Mining of Japanese Adverse Drug Event Report (JADER) Database. Yakugaku Zasshi, 137, 111-120. https://doi.org/10.1248/yakushi.16-00219</mixed-citation></ref><ref id="scirp.89136-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Hara, A., Matsumoto, K., Yokoyama, Y. and Kizu, J. (2017) Factorial Analysis of Hepatitis B Virus Reactivation-Induced Hepatitis B Using JADER. Biological and Pharmaceutical Bulletin, 40, 782-788. https://doi.org/10.1248/bpb.b16-00765</mixed-citation></ref><ref id="scirp.89136-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Noguchi, Y., Katsuno, H., Ueno, A., Otsubo, M., Yoshida, A., Kanematsu, Y., Sugita, I., Esaki, H., Tachi, T., Tsuchiya, T. and Teramachi, H. (2018) Signals of Gastroesophageal Reflux Disease Caused by Incretin-Based Drugs: A Disproportionality Analysis Using the Japanese Adverse Drug Event Report Database. Journal of Pharmaceutical Health Care and Science, 4, 15. https://doi.org/10.1186/s40780-018-0109-z</mixed-citation></ref><ref id="scirp.89136-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Van Puijenbroek, E.P., Bate, A., Leufkens, H.G., Lindquist, M., Orre, R. and Egberts, A.C. (2002) A Comparison of Measures of Disproportionality for Signal Detection in Spontaneous Reporting Systems for Adverse Drug Reactions. Pharmacoepidemiology and Drug Safety, 11, 3-10. https://doi.org/10.1002/pds.668</mixed-citation></ref><ref id="scirp.89136-ref20"><label>20</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Fujita</surname><given-names> T. </given-names></name>,<etal>et al</etal>. (<year>2009</year>)<article-title>Signal Detection of Adverse Drug Reactions</article-title><source> Japanese Journal of Pharmacoepidemiology</source><volume> 14</volume>,<fpage> 27</fpage>-<lpage>36</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.89136-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Suzuki, Y., Suzuki, H., Umetsu, R., Uranishi, H., Abe, J., Nishibata, Y., Sekiya, Y., Miyamura, N., Hara, H., Tsuchiya, T., Kinosada, Y. and Nakamura, M. (2015) Analysis of the Interaction between Clopidogrel, Aspirin, and Proton Pump Inhibitors Using the FDA Adverse Event Reporting System Database. Biological and Pharmaceutical Bulletin, 38, 680-686. https://doi.org/10.1248/bpb.b14-00191</mixed-citation></ref><ref id="scirp.89136-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Fujimoto, M., Kanou, M., Hosomi, K. and Takada, M. (2017) Angiotensin Receptor Blockers and the Risk of Cancer: Data Mining of a Spontaneous Reporting Database and a Claims Database. International Journal of Clinical Pharmacology and Therapeutics, 55, 295-303. https://doi.org/10.5414/CP202842</mixed-citation></ref><ref id="scirp.89136-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Sauzet, O., Carvajal, A., Escudero, A., Molokhia, M. and Cornelius, V.R. (2013) Illustration of the Weibull Shape Parameter Signal Detection Tool Using Electronic Healthcare Record Data. Drug Safety, 36, 995-1006. https://doi.org/10.1007/s40264-013-0061-7</mixed-citation></ref><ref id="scirp.89136-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Yamada, M. and Handa, J. (2014) Comparison of the Onset Time Profile among the Interferon Formulations in Adverse Drug Reaction of Suicide- or Diabetes-Related. Japanese Journal of Pharmacoepidemiology, 19, 23-30. https://doi.org/10.3820/jjpe.19.23</mixed-citation></ref><ref id="scirp.89136-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Takei, R., Ikegaki, I., Shibata, K., Tsujimoto, G. and Asano, T. (1999) Naftopidil, a Novel α1-Adrenoceptor Antagonist, Displays Selective Inhibition of Canine Prostatic Pressure and High Affinity Binding to Cloned Human α1-Adrenoceptors. Japanese Journal of Pharmacology, 79, 447-454. https://doi.org/10.1254/jjp.79.447</mixed-citation></ref><ref id="scirp.89136-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Shibata, K., Foglar, R., Horie, K., Obika, K., Sakamoto, A., Ogawa, S. and Tsujimoto, G. (1995) KMD-3213, a Novel, Potent, α1a-Adrenoceptor-Selective Antagonist: Characterization Using Recombinant Human α1-Adrenoceptors and Native Tissues. Molecular Pharmacology, 48, 250-258.</mixed-citation></ref><ref id="scirp.89136-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Lai, C.L., Kuo, R.N., Chen, H.M., Chen, M.F., Chan, K.A. and Lai, M.S. (2016) Risk of Ischemic Stroke during the Initiation Period of α-Blocker Therapy among Older Men. Canadian Medical Association Journal, 188, 255-260. https://doi.org/10.1503/cmaj.150624</mixed-citation></ref><ref id="scirp.89136-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Lai, C.L., Kuo, R.N., Chen, H.M., Chen, M.F., Chan, K.A. and Lai, M.S. (2015) Risk of Hip/Femur Fractures during the Initiation Period of α-Adrenoceptor Blocker Therapy among Elderly Males: A Self-Controlled Case Series Study. British Journal of Clinical Pharmacology, 80, 1208-1218. https://doi.org/10.1111/bcp.12671</mixed-citation></ref><ref id="scirp.89136-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Poluzzi, E., Raschi, E., Moretti, U. and De Ponti, F. (2009) Drug-Induced Torsades de Pointes: Data Mining of the Public Version of the FDA Adverse Event Reporting System (AERS). Pharmacoepidemiology and Drug Safety, 18, 512-518. https://doi.org/10.1002/pds.1746</mixed-citation></ref></ref-list></back></article>