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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya</journal-id>
      <journal-id journal-id-type="publisher-id">.</journal-id>
      <journal-title>Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya</journal-title><issn pub-type="ppub">2621-4814</issn><issn pub-type="epub">2621-4814</issn><publisher>
      	<publisher-name>Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.33084/bjop.v3i2.1316</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Drug Interactions</subject><subject>Bronchopneumonia</subject><subject>Children</subject><subject>Outpatients</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Potential Drug-drug Interactions Analysis in Children Out-patients with Bronchopneumonia Medication Prescriptions</article-title><subtitle>Potential Drug-drug Interactions Analysis in Children Out-patients with Bronchopneumonia Medication Prescriptions</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Zulfa</surname>
		<given-names>Ilil Maidatuz</given-names>
	</name>
	<aff>Department of Community Pharmacy, Akademi Farmasi Surabaya, Surabaya, East Java, Indonesia</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Yunitasari</surname>
		<given-names>Fitria Dewi</given-names>
	</name>
	<aff>Department of Community Pharmacy, Akademi Farmasi Surabaya, Surabaya, East Java, Indonesia</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Dewi</surname>
		<given-names>Susanty Kartika</given-names>
	</name>
	<aff>Pharmacy Diploma Program, Akademi Farmasi Surabaya, Surabaya, East Java, Indonesia</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>05</month>
        <year>2020</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>21</day>
        <month>05</month>
        <year>2020</year>
      </pub-date>
      <volume>3</volume>
      <issue>2</issue>
      <permissions>
        <copyright-statement>© 2020 Ilil Maidatuz Zulfa, Fitria Dewi Yunitasari, Susanty Kartika Dewi</copyright-statement>
        <copyright-year>2020</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-sa/4.0/"><p>This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Potential Drug-drug Interactions Analysis in Children Out-patients with Bronchopneumonia Medication Prescriptions</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			Drug-drug interactions (DDIs) is defined as the alteration of efficacy and toxicity of some drugs in the presence of other drugs. In the treatments of bronchopneumonia in outpatient settings, there is a lack of documentation of DDIs. This study was aimed to observe the potential DDIs on the prescriptions of children with bronchopneumonia. An observational and cross-sectional study was conducted on outpatient children with bronchopneumonia prescriptions during 2017. Potential for DDI was identified by online drug interaction checkers. The potential DDI then classified based on its severity (minor, moderate, and major) and mechanism (pharmacokinetic and pharmacodynamic). Among 86 prescriptions analyzed, potential DDIs observed at 48.84% of it. Of that, there were 67 potential DDIs where 72.34% of it were categorized as moderate. The majority of potential DDIs was pharmacodynamic interaction (76.12%) with the most frequently involved drug pair was Ephedrine-Salbutamol (29.85%). Children outpatients with bronchopneumonia are at risk of potential DDIs, especially to minor and moderate potential DDIs. Prescriptions screening for potential DDIs followed by monitoring of therapeutical effects and associated adverse drug events will optimize patient safety.
		</p>
		</abstract>
    </article-meta>
  </front>
  <body><sec>
			<title>INTRODUCTION</title>
				<p >Drug-drug interactions (DDIs) is
defined as the change of efficacy and toxicity of some drugs in the presence of
other drugs (Shetty et al., 2018).
The alterations occure both in pharmacokinetics (absorbtion, distribution,
metabolism, and excretion) and pharmacodynamics (sinergism, antagonism, and
competition in receptors) phase (Kulkarni et al.,
2013; Palleria et al., 2013).
In the clinical settings, DDIs is the main source of adverse drug event (Somogyi-Vegh et al., 2019).
A recent meta-analysis of several studies reports that DDIs has contributed to
1.1-5% of hospitalization and 0.25-25% of the adverse drug reaction related to
hospitalization (Dechanont
et al., 2014; Ismail et al., 2018).
In outpatient settings, there is a lack documentation of DDIs and its
prevalence is reported lower than in hospitalized patients because they are
usually prescribed less drug combination (Vaidhun &amp; Sathish, 2011). However, if they are prescribed with
polypharmacy the potential of DDIs occurence will also rise.</p><p >Bronchopneumonia is one of
life-threatning pneumonia manifestation commonly occur in children under 5 y.o.
As the treatment of pneumonia, causative management using antibiotics and
symptomatic drugs like antitusive, expecorant, antihistamine,
analgesic-antipyretic used in bronchopneumonia management (Harris et al., 2011; Chang et
al., 2014). Hence, high combination drugs potentially
prescribed to the children with bronchopnaumonia and its leading to the
occurence of DDIs. The DDIs identification in bronchopneumonia prescriptions
will optimize the outcome therapy and prevent the incidence of adverse drug
reactions (Noor et al., 2019).
This study was aimed to observe the potential DDIs on the prescriptions of
children with bronchopneumonia.</p>
			</sec><sec>
			<title>MATERIALS AND METHODS</title>
				<p >An observational and cross-sectional study was
conducted on outpatient children with bronchopneumonia prescriptions during
2017 at a Hospital in Bangkalan, Madura Island, Indonesia. Study began after
obtaining permition from the hospital. The Inclusion criteria were
prescriptions of outpatient children age 0-14 y.o. diagnosed with
bronchopneumonia without any infection comorbidities. Prescriptions contained
one or two drugs with different route of administration were excluded.
Potential for DDIs were identified by online drug interaction checkers from www.drugs.com. The drugs that not available in
the database were than identified by www.drugbank.ca. The prescriptions contained drugs that not listed in that two online
applications were also excluded. The potential DDIs then classified based on
its severity (minor, moderate, and major) and mechanism (pharmacokinetic and
pharmacodinamic). The management suggestion from the online applications also
included.</p>
			</sec><sec>
			<title>RESULTS AND DISCUSSION</title>
				<p >During the period of study, a total of 158 prescriptions met the
inklusions criteria. Of that, 72 prescriptions were excluded due to varoous
reasons; 9 prescriptions only contained of one drugs, 3 prescriptions contained
of two drugs with different route; 10 prescriptions consisted of probiotics;
and 50 remaining contained of herbal medicine like succus liquiritae and
echinaceae extract that not available in the the two online-application
used. The remaining 86 prescriptions
were analyzed for the potential DDIs. The prevalence of potential DDIs based on
gender, age, and number of drug prescribed showed in patients characteistics as
presented in <bold>Table I</bold>.</p><p ><bold>Table I. </bold>Patients
characteristics</p><table-wrap><label>Table</label><table>
 <tr>
  <td>
  Characteristics
  </td>
  
  <td>
  N (%)
  </td>
  
  <td>
  Total (%)
  </td>
  
 </tr>
 <tr>
  
  <td>
  Potential DDIs
  </td>
  
  <td>
  No Potential
  DDIS
  </td>
  
 </tr>
 <tr>
  <td>
  Gender
  Female
  Male
  </td>
  
  <td>
  
  19 (22.09)
  23 (26.74)
  </td>
  
  <td>
  
  24 (27.91)
  20 (23.26)
  </td>
  
  <td>
  
  43 (50.00)
  43 (50.00)
  </td>
  
 </tr>
 <tr>
  <td>
  Total
  </td>
  
  <td>
  42 (48.84)
  </td>
  
  <td>
  44 (51.16)
  </td>
  
  <td>
  86 (100.00)
  </td>
  
 </tr>
 <tr>
  <td>
  Age (years)
  &lt;1
  1-5
  6-10
  11-14
  </td>
  
  <td>
  
  13 (15.12)
  21 (24.42)
  5 (5.81)
  3 (3.49)
  </td>
  
  <td>
  
  2 (2.33)
  35 (40.70)
  7 (8.14)
  0 (0.00)
  </td>
  
  <td>
  
  15 (17.44)
  56 (65.12)
  12 (13.95)
  3 (3.49)
  </td>
  
 </tr>
 <tr>
  <td>
  Total
  </td>
  
  <td>
  42 (48.84)
  </td>
  
  <td>
  44 (51.16)
  </td>
  
  <td>
  86 (100.00)
  </td>
  
 </tr>
 <tr>
  <td>
  Number of
  drug prescribed
  &lt;5
  5-10
  &gt;10
  </td>
  
  <td>
  
  
  30 (34.88)
  7 (8.14)
  5 (5.81)
  </td>
  
  <td>
  
  
  10 (11.63)
  21 (24.42)
  13 (15.12)
  </td>
  
  <td>
  
  
  40 (46.51)
  28 (32.56)
  18 (20.93)
  </td>
  
 </tr>
 <tr>
  <td>
  Total
  </td>
  
  <td>
  42 (48.84)
  </td>
  
  <td>
  44 (51.16)
  </td>
  
  <td>
  86 (100.00)
  </td>
  
 </tr>
</table></table-wrap><p >Generally, the prevalence of potential DDIs is linear to the number of
drug prescribed as Loya et al. (2009) reported that 46.2%
dan 72.3% of polypharmacy had at least one potential DDIs. However, in this
study the majority potential DDIs observed in the prescriptions contained less
than five drugs. This discrepancy might be due to the prescribing culture and
formulary used in the hospital. Out of the 42 potential DDIs found, most of
them had moderate (80.95%) and minor (73.80%) severity that is sufficiently to
warn us to have a monitoring for the potential dangerous, as shown in <bold>Figure 1</bold>.</p><p ><bold>Figure 1.</bold> Severity of Potential DDIs</p><p >The prevalence of
potential DDIs, its manifestations, and suggested management predominantly
occur in the pharmacodynamic phase, as presented in <bold>Table II</bold>. The higher number of pharmacodynamics DDIs are probably due to the
drug combinations prescribed is purposed to enhance the efficacy (Patel et al,
2014). The pair of
ephedrine+salbutamol was counted 29.85% of pharmacodynamics DDIs and
potentially harm to patients as it has moderate severity. The manifestation is
similar to pseudoephedrine+salbutamol which was observed 4.48% of
pharmacodynamics DDIs in this study. The administration of beta-2 agonists
together with other adrenergic agents may result in the increase of
cardiovascular side effects including escalation of pulse rate and systolic or
diastolic blood pressure as well as ECG changes such as flattening of the T
wave, prolongation of the QTc interval, and ST segment depression. These
effects may be more common when the drugs are administered systemically or when
recommended dosages are exceeded (Khalilian et al., 2016).
A meta-analysis by Salpeter et al. (2004) reported that
beta-2 agonist use in patients with obstructive airway disease increases the
risk for cardiovascular adverse events from three days to one year. The
manifestation occure were an increase in heart rate and potassium
concentrations depletion. Therefore, the oral concomitant use of
ephedrine+salbutamol in children with bronchopneumonia must be counted for its
benefit and risk. Use salbutamol in local route like inhaler will minimize the
risk of cardiovascular event. </p><p >Another pharmacodynamic
DDIs that need to be considered was from the pair of dexamethasone+teophyline.
The co-administration of theophylline and corticosteroids theoretically may
potentiate the risk of hypokalemia due to additive potassium-lowering effects.
Theophylline inhibits adenosine receptors and blocks phosphodiesterase causing
rised cyclic adenosine monophosphate resulting in increased levels of
adrenergic activation and catecholamine release at larger dose (Barnes, 2010). Elevated catecholamine concentrations will lead to adverse effects
such as metabolic acidosis, hyperglycemia, cardiac arrhythmias, and hypokalemia
(Kardalas et al., 2018). Additionally, corticosteroids conduce sodium
retention through the increase of sodium tubular absorption and potassium
excretion. Sodium retention and potassium loss may result in hypokalemic
alkalosis in patients receiving glucocorticoids (Nasralla et
al., 2010). Consequently, if the benefits outweight the
drawbacks, the use of dexamethasone and theophylline in children with
bronchopneumonia should be followed by monitoring in potassium levels and the
cardiovascular events (Zec et al., 2016).</p><p >In the pharmacokinetics phase, the most common DDIs observed was
ephedrine+vitamin C. Acidic urine increases the urinal elimination of
ephedrine. However, the severity is minor and the clinical significance is
unknown.</p><p ><bold>Table II. </bold>Prevalence of potential
DDIs</p><table-wrap><label>Table</label><table>
 <tr>
  <td>
  Drug pairs
  </td>
  
  <td>
  N (%) / severity
  </td>
  
  <td>
  Potential Manifestasion
  </td>
  
  <td>
  Management
  </td>
  
 </tr>
 <tr>
  <td>
  Pharmacokinetics DDIs
  </td>
  
 </tr>
 <tr>
  <td>
  Ephedrine-Vitamin C
  </td>
  
  <td>
  9
  (13.43) / Minor
  </td>
  
  <td>
  The effect of ephedrine may be
  decreased
  </td>
  
  <td>
  Considering for drug subtitution
  </td>
  
 </tr>
 <tr>
  <td>
  Phenytoin-Dexamethasone
  </td>
  
  <td>
  2
  (2.99) / Moderate
  </td>
  
  <td>
  The effect of dexamethasone may be
  decreased
  </td>
  
  <td>
  Considering for drug subtitution
  </td>
  
 </tr>
 <tr>
  <td>
  Phenytoin-Paracetamol
  </td>
  
  <td>
  2
  (2.99) / Moderate
  </td>
  
  <td>
  The potential hepatotoxicity of paracetamol may be increased and its
  pharmacological effects may be decreased
  </td>
  
  <td>
  Monitoring on liver function
  </td>
  
 </tr>
 <tr>
  <td>
  Total
  </td>
  
  <td>
  13 (19.40)
  </td>
  
 </tr>
 <tr>
  <td>
  Pharmacodynamics
  DDIs
  </td>
  
 </tr>
 <tr>
  <td>
  Chlorphenyramine-
  Domperidone
  </td>
  
  <td>
  1 (1.49) / Unknown
  </td>
  
  <td>
  The effect on cardiovascular may be
  increased
  </td>
  
  <td>
  Monitoring of the presence of
  arrhythmia
  </td>
  
 </tr>
 <tr>
  <td>
  Chlorphenyramine-
  Codein
  </td>
  
  <td>
  1 (1.49) / Moderate
  </td>
  
  <td>
  The effect on CNS may be increased
  </td>
  
  <td>
  Monitoring on respiration function
  </td>
  
 </tr>
 <tr>
  <td>
  Dexamethasone + Salbutamol
  </td>
  
  <td>
  9
  (13.43) / Minor
  </td>
  
  <td>
  The effect on cardiovascular may be
  increased
  </td>
  
  <td>
  Monitoring of the presence of
  arrhythmia
  </td>
  
 </tr>
 <tr>
  <td>
  Dexamethasone + Teophyline
  </td>
  
  <td>
  4
  (5.97) / Moderate
  </td>
  
  <td>
  The effect on cardiovascular may be
  increased
  </td>
  
  <td>
  Monitoring for altered
  efficacy and safety of theophylline and altered serum potassium
  </td>
  
 </tr>
 <tr>
  <td>
  Ephedrine + Salbutamol
  </td>
  
  <td>
  20
  (29.85) / Moderate
  </td>
  
  <td>
  The effect on cardiovascular may be
  increased
  </td>
  
  <td>
  Monitoring for blood pressure and heart
  rate
  </td>
  
 </tr>
 <tr>
  <td>
  Ephedrine -Teophylin
  </td>
  
  <td>
  1 (1.49) / Minor
  </td>
  
  <td>
  The potential side effects like nausea,
  vommiting, tachycardia and insomnia may be increased
  </td>
  
  <td>
  Monitoring of the presence of side
  effects
  </td>
  
 </tr>
 <tr>
  <td>
  Methylprednisolon
  + Salbutamol
  </td>
  
  <td>
  9
  (13.43) / Minor
  </td>
  
  <td>
  The hypokalemia risk and the effect on cardiovascular
  may be increased
  </td>
  
  <td>
  Monitoring for serum potassium level
  and the presence of arrhythmia
  </td>
  
 </tr>
 <tr>
  <td>
  Prednison-
  Salbutamol
  </td>
  
  <td>
  1 (1.49) / Minor
  </td>
  
  <td>
  The hypokalemia risk and the effect on
  cardiovascular may be increased
  </td>
  
  <td>
  Monitoring for serum potassium level
  and the presence of arrhythmia
  </td>
  
 </tr>
 <tr>
  <td>
  Pseudoephedrine-
  Salbutamol
  </td>
  
  <td>
  3 (4.48) / Moderate
  </td>
  
  <td>
  The effect on cardiovascular may be
  increased
  </td>
  
  <td>
  Monitoring for blood pressure and heart
  rate
  </td>
  
 </tr>
 <tr>
  <td>
  Salbutamol-
  Teophyline
  </td>
  
  <td>
  1 (1.49) / Moderate
  </td>
  
  <td>
  The hypokalemia risk and the effect on cardiovascular
  may be increased
  </td>
  
  <td>
  Monitoring for serum potassium level
  and the presence of arrhythmia
  </td>
  
 </tr>
 <tr>
  <td>
  Cetirizin-
  Sodium Valproate
  </td>
  
  <td>
  1 (1.49) / Moderate
  </td>
  
  <td>
  The effect on CNS may be increased
  </td>
  
  <td>
  Monitoring for cognitif function
  </td>
  
 </tr>
 <tr>
  <td>
  Total
  </td>
  
  <td>
  53 (76.12)
  </td>
  
 </tr>
 <tr>
  <td>
  Unknown
  mechanism DDIs
  </td>
  
 </tr>
 <tr>
  <td>
  Dexamethasone-
  Ephedrine
  </td>
  
  <td>
  2
  (2,99) / Minor
  </td>
  
  <td>
  The effect of dexamethasone may be
  decreased
  </td>
  
  <td>
  Considering for drug subtitution
  </td>
  
 </tr>
 <tr>
  <td>
  Domperidone-Paracetamol
  </td>
  
  <td>
  1 (1,49) / Unknown
  </td>
  
  <td>
  The serum level of domperidone may be
  increased
  </td>
  
  <td>
  Considering for drug subtitution
  </td>
  
 </tr>
 <tr>
  <td>
  Total
  </td>
  
  <td>
  3 (4.48)
  </td>
  
 </tr>
 <tr>
  <td>
  Total
  </td>
  
  <td>
  67 (100.00)
  </td>
  
 </tr>
</table></table-wrap><p >

































Apart from
the result above, this study has several limitations. As this study showed the
potential for DDIs in the prescriptions, the actual occurr of DDIs in the
patients could not be determined because the study was a single point
cross-sectional and out-patient based. Moreover, herbal medicine and
probiotics-contained prescriptions could not be determined for the DDIs.
Therefore, future studies on potential and actual occurrence DDIs in outpatient
children with bronchopneumonia in future still need to be conducted.</p>
			</sec><sec>
			<title>CONCLUSION</title>
				<p >A considerable prevalence of
potential DDIs has been observed in children outpatients with bronchopneumonia
(48.84%) where moderate potential DDIs were the most common. Moreover, the use
of probiotics and herbal medicine in bronchopneumonia treatments still need to
be considered related unknown potential DDIs. Prescriptions screening for
potential DDIs followed by monitoring of therapeutical effects and associated
adverse drug events will optimize patient safety.</p>
			</sec><sec>
			<title>ACKNOWLEDGMENT</title>
				<p >We would like to express our deep
sense of gratitude to the Hospital for their permition and support during data
collection. We would also thank to Akademi Farmasi Surabaya for the financial
support during this study.</p>
			</sec><sec>
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      <p>We would like to express our deep sense of gratitude to the Hospital for their permition and support during data collection. We would also thank to Akademi Farmasi Surabaya for the financial support during this study.</p>
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