<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//TaxonX//DTD Taxonomic Treatment Publishing DTD v0 20100105//EN" "../../nlm/tax-treatment-NS0.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:tp="http://www.plazi.org/taxpub" article-type="research-article" dtd-version="3.0" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">87</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:A116C711-4C18-5A38-8F1E-5E97753A8A64</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Folia Medica</journal-title>
        <abbrev-journal-title xml:lang="en">FM</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0204-8043</issn>
      <issn pub-type="epub">1314-2143</issn>
      <publisher>
        <publisher-name>Plovdiv Medical University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/folmed.65.e91262</article-id>
      <article-id pub-id-type="publisher-id">91262</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Emergency medicine</subject>
          <subject>Public health</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Traumatic head injuries in Moldova: a cross-sectional analysis of medical registry data</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Cociu</surname>
            <given-names>Svetlana</given-names>
          </name>
          <email xlink:type="simple">svetlana.cociu@usmf.md</email>
          <uri content-type="orcid">https://orcid.org/0000-0001-8209-815X</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Hamann</surname>
            <given-names>Cara J.</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0001-8916-7285</uri>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Cebanu</surname>
            <given-names>Serghei</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-2493-4882</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Cazacu-Stratu</surname>
            <given-names>Angela</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-0238-3063</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Coman</surname>
            <given-names>Mădălina Adina</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0003-2678-1186</uri>
          <xref ref-type="aff" rid="A3">3</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Peek-Asa</surname>
            <given-names>Corinne</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0001-9472-2538</uri>
          <xref ref-type="aff" rid="A4">4</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Department of Preventive Medicine, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova</addr-line>
        <institution>Nicolae Testemitanu State University of Medicine and Pharmacy</institution>
        <addr-line content-type="city">Chisinau</addr-line>
        <country>Moldova</country>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">Department of Epidemiology, College of Public Health, University of Iowa, Iowa, United States of America</addr-line>
        <institution>University of Iowa</institution>
        <addr-line content-type="city">Iowa</addr-line>
        <country>United States of America</country>
      </aff>
      <aff id="A3">
        <label>3</label>
        <addr-line content-type="verbatim">Department of Public Health, College of Political, Administrative and Communication Sciences. Cluj-Napoca, Romania</addr-line>
        <institution>Administrative and Communication Sciences</institution>
        <addr-line content-type="city">Cluj-Napoca</addr-line>
        <country>Romania</country>
      </aff>
      <aff id="A4">
        <label>4</label>
        <addr-line content-type="verbatim">Department of Epidemiology, University of California, San Diego, United States of America</addr-line>
        <institution>University of California</institution>
        <addr-line content-type="city">San Diego</addr-line>
        <country>United States of America</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Svetlana Cociu, Department of Hygiene, Nicolae Testemitanu State University of Medicine and Pharmacy, 165, Stefan cel Mare si Sfant MD-2004, Chisinau, Republic of Moldova; Email: <email xlink:type="simple">svcociu@gmail.com</email>; Tel.: +373 22 205 463</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>31</day>
        <month>10</month>
        <year>2023</year>
      </pub-date>
      <volume>65</volume>
      <issue>5</issue>
      <fpage>775</fpage>
      <lpage>782</lpage>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/8536C384-BBF0-557C-8CE7-9E2FAE9DF862">8536C384-BBF0-557C-8CE7-9E2FAE9DF862</uri>
      <history>
        <date date-type="received">
          <day>04</day>
          <month>08</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <day>12</day>
          <month>09</month>
          <year>2022</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Svetlana Cociu, Cara J. Hamann, Serghei Cebanu, Angela Cazacu-Stratu, Mădălina Adina Coman, Corinne Peek-Asa</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>Abstract</label>
        <p><bold>Aim</bold>: The aims of this study were to evaluate the demographics and crash profiles of road traffic-related traumatic brain injury (<abbrev xlink:title="traumatic brain injuries" id="ABBRID0EXE">TBI</abbrev>) patients treated at two emergency departments in the Republic of Moldova, and to identify areas for prevention.</p>
        <p><bold>Materials and methods</bold>: A prospective study was conducted using data from the medical records of a pilot <abbrev xlink:title="traumatic brain injuries" id="ABBRID0E6E">TBI</abbrev> registry from the emergency departments of two large hospitals in Moldova. The study sample included patients with <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EDF">TBI</abbrev> related to road traffic mechanisms from March 1 to August 31, 2019.</p>
        <p><bold>Results</bold>: During the study period, 368 patients were included in the <abbrev xlink:title="traumatic brain injuries" id="ABBRID0ELF">TBI</abbrev> registry, with 113 (30.7%) of them having TBIs caused by traffic. Children under the age of 18 (44.2%), people aged 30-49 (18.6%), and males (71.7%) were the largest proportions of the road traffic-related <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EPF">TBI</abbrev> patient population. Most (78.8%) of the <abbrev xlink:title="traumatic brain injuries" id="ABBRID0ETF">TBI</abbrev> injuries occurred in a transportation area (street, road, highway, etc.), among children under age of 18, while walking (36.7%) or riding in a passenger vehicle (68.4%). Pedestrians (42.5%) accounted for the most cases, followed by passengers (33.6%) and drivers (23.9%). Over two-thirds of all cases were tested for alcohol. Most cases were in June (20.4%) and between 2 pm and 6 pm (29.2%) within the research period.</p>
        <p><bold>Conclusions</bold>: This is the first study to examine the road traffic-related traumatic brain injuries in the Republic of Moldova, which underlines the high burden of injuries among males, children, and the middle-aged population. Results from this study will help to support the development of a country’s national <abbrev xlink:title="traumatic brain injuries" id="ABBRID0E2F">TBI</abbrev> registry and can argue for the running of comprehensive measures in road injury prevention targeted to the most affected populations</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>driver</kwd>
        <kwd>motor vehicle occupant</kwd>
        <kwd>traumatic brain injury</kwd>
        <kwd>pedestrian</kwd>
        <kwd>passenger</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="Introduction" id="SECID0EHG">
      <title>Introduction</title>
      <p>Traumatic brain injuries (<abbrev xlink:title="traumatic brain injuries" id="ABBRID0ENG">TBI</abbrev>) are a major cause of death and disability, with an overwhelming impact on the health of patients and their families worldwide. The World Health Organization estimates that almost 90% of the global deaths caused by injuries occur in low- and middle-income countries, and that around 10 million people are affected annually by traumatic brain injuries.<sup>[<xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B2">2</xref>]</sup> Simultaneously, because <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EYG">TBI</abbrev> require long-term care, the WHO encourages the development and support of surveillance systems and research to measure the impact of <abbrev xlink:title="traumatic brain injuries" id="ABBRID0E3G">TBI</abbrev> and develop effective preventive methods.<sup>[<xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B3">3</xref>]</sup> In Europe, traumatic brain injuries account for the majority of trauma.<sup>[<xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B4">4</xref>,<xref ref-type="bibr" rid="B5">5</xref>]</sup> Each year around 2.5 million people suffer a <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EOH">TBI</abbrev>, and 1 million are admitted to a hospital for medical care<sup>[<xref ref-type="bibr" rid="B6">6</xref>]</sup>, the most common causes being road traffic crashes and falls<sup>[<xref ref-type="bibr" rid="B4">4</xref>,<xref ref-type="bibr" rid="B7">7</xref>]</sup>. Injury prevention for the Republic of Moldova is one of the priority areas for public health surveillance. However, there are few data regarding <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EBAAC">TBI</abbrev> currently reported in the country.<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup></p>
    </sec>
    <sec sec-type="Aim" id="SECID0ELAAC">
      <title>Aim</title>
      <p>This study aimed to assess the demographics and crash profiles of road traffic-related traumatic brain injury (<abbrev xlink:title="traumatic brain injuries" id="ABBRID0ERAAC">TBI</abbrev>) patients treated at two emergency departments (<abbrev xlink:title="emergency departments" id="ABBRID0EVAAC">ED</abbrev>) in Moldova, and to identify areas for prevention. To date, no national injury-related data registry is available in the country, and this study is the first to hone in on specific injury topics for prevention using data from a pilot <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EZAAC">TBI</abbrev> registry.</p>
    </sec>
    <sec sec-type="materials|methods" id="SECID0E4AAC">
      <title>Materials and methods</title>
      <sec sec-type="Study setting" id="SECID0EBBAC">
        <title>Study setting</title>
        <p>The study was carried out in the Republic of Moldova, which is divided administratively and geographically into 32 districts, 13 municipalities, and two recognized autonomous territorial units, each of which contains 60 cities and 1614 communes and villages. On January 1, 2019, the Republic of Moldova’s stable population was 3.521 million people. As one of the countries with the lowest Gross Domestic Product (<abbrev xlink:title="Gross Domestic Product" id="ABBRID0EHBAC">GDP</abbrev>) in Europe, Moldova has a relatively low investment in roadway infrastructure and safety.</p>
      </sec>
      <sec sec-type="Data and study design" id="SECID0ELBAC">
        <title>Data and study design</title>
        <p>A prospective study was performed using data from a pilot <abbrev xlink:title="traumatic brain injuries" id="ABBRID0ERBAC">TBI</abbrev> registry which collected data from the two largest trauma hospitals in Moldova. The registry included the medical data of patients treated in the emergency departments from March 1 to August 31, 2019. Patients were identified using ICD10 codes within individual medical records. This pilot registry was the first in the country and was established as part of the international project INITIatE (International Collaboration to increase Traumatic Brain Injury Surveillance in Europe), coordinated nationally by the Nicolae Testemitanu State University of Medicine and Pharmacy from the Republic of Moldova, and internationally by the College of Public Health, the University of Iowa and the Department of Public Health, Babeș-Bolyai University, Cluj-Napoca.</p>
      </sec>
      <sec sec-type="Settings and population" id="SECID0EVBAC">
        <title>Settings and population</title>
        <p>The registry includes patients of all ages who were treated throughout the study period and whose ICD10 code indicated any kind of head injury. Road traffic injuries were identified through text in the medical record (as ICD external causes are not routinely recorded). According to the national clinical protocol, a traumatic brain injury represents all primary, secondary and late lesions of the scalp, skull and brain caused by a mechanically injured agent’s direct or indirect action. The researchers did not interact with the patients directly; data were extracted from the pilot <abbrev xlink:title="traumatic brain injuries" id="ABBRID0E2BAC">TBI</abbrev> registry.</p>
      </sec>
      <sec sec-type="Study variables" id="SECID0E6BAC">
        <title>Study variables</title>
        <p>Distributions of transportation-related <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EFCAC">TBI</abbrev> cases were examined using the demographic, patient, and crash characteristics. Specific demographic and patient characteristics examined included segregated age groups (&lt;18, 19-29, 30-49, 50-59, 60+), sex (male, female), employment status (unemployed, employed, student), alcohol screen (self-reported and driver’s alcohol screen), seat belt use (yes, no, unknown). Crash characteristics examined included crash month, crash location (urban, rural), work-related (yes, no), place of injury occurrence (home and residential institution; school, sport, or recreation area; medical service area; transport area; industrial, farm, or construction area; commercial area).</p>
      </sec>
      <sec sec-type="Statistical analysis" id="SECID0EJCAC">
        <title>Statistical analysis</title>
        <p>The REDCap electronic data collection tool was used to upload the data and SPSS Statistics Base 20.0.0 was used for data analyses. Ethics committee approval was obtained from Nicolae Testemitanu State University of Medicine and Pharmacy, Republic of Moldova before the beginning of the study.</p>
      </sec>
    </sec>
    <sec sec-type="Results" id="SECID0EOCAC">
      <title>Results</title>
      <sec sec-type="Sample characteristics" id="SECID0ESCAC">
        <title>Sample characteristics</title>
        <p>A total of 368 patients (201 adults and 167 children) were included in the <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EYCAC">TBI</abbrev> registry, of which 197 (53.5%) <abbrev xlink:title="traumatic brain injuries" id="ABBRID0E3CAC">TBI</abbrev> cases related to falls, 113 (30.7%) cases reported with traffic-related mechanisms, 51 (13.9%) cases due to assault (violence), and 7 (1.9%) case related to struck by/or against <bold>(Table <xref ref-type="table" rid="T1">1</xref>)</bold>. Cases of <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EHDAC">TBI</abbrev> with traffic-related mechanisms (113, 30.7%) vary with an age range of 0 to 79 years old, mean 31.9±24.9 years old (95% CI 29.4–34.5). Most cases were among children (44.2%), followed by the age group of 30-49 years old (18.6%). Most cases were among males (71.7%). Approximately half were among the unemployed (47, 8%), a quarter were employed (24.8%), and another quarter were students (27.4%). Most cases were in June (20.4%), most of the injures registered between 2 pm–6 pm (29.2%). Medical care requirement mostly between 10 pm–4 pm (59.2%), peak hours between 2 pm–4 pm (16.8%).</p>
        <p>The majority of injuries occurred in urban areas (90.5%), and the majority of these reached the hospital by ambulance (97.3%).</p>
        <p>The most common location of <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EODAC">TBI</abbrev> occurrence as result of road traffic was in a transport area, such as a public highway, street, or road or other related areas (78.8%). Only 2.7% were reported as work-related injuries. Alcohol self-reported screening for medical or police requirements was reported in 61.9%, although driver alcohol screening was reported for 86.4% (this does not reflect the BAC level, as this data are not available in the patient medical record). Assessing the type of transport and category of the road traffic participants <bold>(Fig. <xref ref-type="fig" rid="F1">1</xref>)</bold>, TBIs were often acquired in motor vehicle and public transport categories (38.1%), followed by cyclists (11.5%) and motorcyclists (7.1%). Pedestrians comprised the highest proportion of transportation-related <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EZDAC">TBI</abbrev> with 42.5%, followed by occupants of passenger car with 33.6% and drivers, riders, and operators with 23.9% <bold>(Fig. <xref ref-type="fig" rid="F2">2</xref>)</bold>. Pedestrian injuries were most common among children and the elderly and were two-thirds male. Almost half of TBIs among pedal cyclists were children, and 61% of TBIs among passenger car occupants were children. Males were more common among all types of transport that led to <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EEEAC">TBI</abbrev> (among drivers, riders, and operators (χ<sup>2</sup>=20.6; <italic>p</italic>=0.008), nearly four times as many were male (77.8%) compared to females).</p>
        <table-wrap id="T1" position="float" orientation="portrait">
          <label>Table 1.</label>
          <caption>
            <p>Demographic characteristic of <abbrev xlink:title="traumatic brain injuries" id="ABBRID0ESMAC">TBI</abbrev> patient’s road traffic-related</p>
          </caption>
          <table id="TID0EZNAC" rules="all">
            <tbody>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Characteristics</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>N (%)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Characteristics</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>N (%)</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Age, years</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>Sex</bold>
                </td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">&lt;18</td>
                <td rowspan="1" colspan="1">50 (44.2)</td>
                <td rowspan="1" colspan="1">Male</td>
                <td rowspan="1" colspan="1">81 (71.7)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">19-29</td>
                <td rowspan="1" colspan="1">14 (12.2)</td>
                <td rowspan="1" colspan="1">Female</td>
                <td rowspan="1" colspan="1">32 (28.3)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">30-39</td>
                <td rowspan="1" colspan="1">11 (9.7)</td>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113 (100.0)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">40-49</td>
                <td rowspan="1" colspan="1">10 (8.8)</td>
                <td rowspan="1" colspan="1">
                  <bold>Employment status</bold>
                </td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">50-59</td>
                <td rowspan="1" colspan="1">13 (13.5)</td>
                <td rowspan="1" colspan="1">Unemployed</td>
                <td rowspan="1" colspan="1">54 (47.8)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">&gt;60</td>
                <td rowspan="1" colspan="1">15 (13.3)</td>
                <td rowspan="1" colspan="1">Employed</td>
                <td rowspan="1" colspan="1">28 (24.8)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113 (100.0)</td>
                <td rowspan="1" colspan="1">Student</td>
                <td rowspan="1" colspan="1">31 (27.4)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Period of the year</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>Location</bold>
                </td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">March</td>
                <td rowspan="1" colspan="1">21 (18.6)</td>
                <td rowspan="1" colspan="1">Urban</td>
                <td rowspan="1" colspan="1">102 (90.3)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">April</td>
                <td rowspan="1" colspan="1">18 (15.9)</td>
                <td rowspan="1" colspan="1">Rural</td>
                <td rowspan="1" colspan="1">11 (9.7)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">May</td>
                <td rowspan="1" colspan="1">16 (14.2)</td>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113 (100.0)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">June</td>
                <td rowspan="1" colspan="1">23 (20.4)</td>
                <td rowspan="1" colspan="1">
                  <bold>Work-related</bold>
                </td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">July</td>
                <td rowspan="1" colspan="1">15 (13.3)</td>
                <td rowspan="1" colspan="1">Yes</td>
                <td rowspan="1" colspan="1">3 (2.7)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">August</td>
                <td rowspan="1" colspan="1">20 (17.7)</td>
                <td rowspan="1" colspan="1">No</td>
                <td rowspan="1" colspan="1">110 (97.3)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113 (100.0)</td>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113 (100.0)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Time of the injury</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>Time of attendance</bold>
                </td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">12 am – 8 am</td>
                <td rowspan="1" colspan="1">11 (9.7)</td>
                <td rowspan="1" colspan="1">12 am – 8 am</td>
                <td rowspan="1" colspan="1">9 (8.0)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">8 am – 10 am</td>
                <td rowspan="1" colspan="1">8 (7.1)</td>
                <td rowspan="1" colspan="1">8 am – 10 am</td>
                <td rowspan="1" colspan="1">4 (3.5)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">10 am – 12 pm</td>
                <td rowspan="1" colspan="1">16 (14.2)</td>
                <td rowspan="1" colspan="1">10 am – 12 pm</td>
                <td rowspan="1" colspan="1">18 (15.9)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">12 pm – 2 pm</td>
                <td rowspan="1" colspan="1">15 (13.3)</td>
                <td rowspan="1" colspan="1">12 pm – 2 pm</td>
                <td rowspan="1" colspan="1">17 (15.0)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">2 pm – 4 pm</td>
                <td rowspan="1" colspan="1">16 (14.2)</td>
                <td rowspan="1" colspan="1">2 pm – 4 pm</td>
                <td rowspan="1" colspan="1">19 (16.8)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">4 pm – 6 pm</td>
                <td rowspan="1" colspan="1">17 (15.0)</td>
                <td rowspan="1" colspan="1">4 pm – 6 pm</td>
                <td rowspan="1" colspan="1">13 (11.5)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">6 pm – 8 pm</td>
                <td rowspan="1" colspan="1">13(11.5)</td>
                <td rowspan="1" colspan="1">6 pm – 8 pm</td>
                <td rowspan="1" colspan="1">12 (10.6)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">8 pm – 10 pm</td>
                <td rowspan="1" colspan="1">13 (11.5)</td>
                <td rowspan="1" colspan="1">8 pm – 10 pm</td>
                <td rowspan="1" colspan="1">13 (11.5)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">10 pm – 12 pm</td>
                <td rowspan="1" colspan="1">4 (3.5)</td>
                <td rowspan="1" colspan="1">10 pm – 12 pm</td>
                <td rowspan="1" colspan="1">8 (7.1)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113 (100.0)</td>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113 (100.0)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Alcohol self-reported screening</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>Place of injury occurrence</bold>
                </td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Yes (self-reported)</td>
                <td rowspan="1" colspan="1">7 (6.2)</td>
                <td rowspan="1" colspan="1">Home and residential institution</td>
                <td rowspan="1" colspan="1">7 (6.2)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Yes (medical screen/police requirement)</td>
                <td rowspan="1" colspan="1">70 (61.9)</td>
                <td rowspan="1" colspan="1">School, sports area, recreation area</td>
                <td rowspan="1" colspan="1">6 (5.3)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">No</td>
                <td rowspan="1" colspan="1">36 (31.9)</td>
                <td rowspan="1" colspan="1">Medical service area</td>
                <td rowspan="1" colspan="1">1 (0.9)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113 (100.0)</td>
                <td rowspan="1" colspan="1">Transport area (public highway, street or road, other related place)</td>
                <td rowspan="1" colspan="1">89 (78.8)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Driver alcohol screen</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Industrial, farm, construction area</td>
                <td rowspan="1" colspan="1">5 (4.4)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Yes</td>
                <td rowspan="1" colspan="1">19 (86.4)</td>
                <td rowspan="1" colspan="1">Commercial area (non-recreational) and countryside</td>
                <td rowspan="1" colspan="1">5 (4.4)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">No</td>
                <td rowspan="1" colspan="1">3 (13.6%)</td>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113 (100.0)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">22 (100.0)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Seat belt use</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>Location</bold>
                </td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Yes</td>
                <td rowspan="1" colspan="1">32 (86.5)</td>
                <td rowspan="1" colspan="1">Urban</td>
                <td rowspan="1" colspan="1">102 (90.3)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">No</td>
                <td rowspan="1" colspan="1">5 (13.5)</td>
                <td rowspan="1" colspan="1">Rural</td>
                <td rowspan="1" colspan="1">11 (9.7)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">37 (100.0)</td>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113 (100.0)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="F1" position="float" orientation="portrait">
          <object-id content-type="arpha">B5D3EAD5-FBA4-525B-8F77-048036169821</object-id>
          <label>Figure 1.</label>
          <caption>
            <p>Frequency distribution of the head injuries by type of transport.</p>
          </caption>
          <graphic xlink:href="foliamedica-65-5-e91262-g001.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_929196.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/929196</uri>
          </graphic>
        </fig>
        <fig id="F2" position="float" orientation="portrait">
          <object-id content-type="arpha">92EB2DAE-47CC-5F7B-A58C-E49305AFDB09</object-id>
          <label>Figure 2.</label>
          <caption>
            <p>Frequency distribution of the head injuries by road traffic participants.</p>
          </caption>
          <graphic xlink:href="foliamedica-65-5-e91262-g002.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_929197.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/929197</uri>
          </graphic>
        </fig>
      </sec>
      <sec sec-type="Outcome of road traffic events with traumatic brain injury" id="SECID0EMEAC">
        <title>Outcome of road traffic events with traumatic brain injury</title>
        <p>Road traffic victims got different types of injuries <bold>(Table <xref ref-type="table" rid="T2">2</xref>)</bold>, the majority (98.2%) with soft tissue injury of the scalp, face, or neck (43.2% of them among pedestrians, following passengers with 32.4% and drivers with 24.3%). From the total, 79.6% of patients suffer fractures of the skull. Characterized with concussion were 92.04% (43.2% of them among pedestrians, followed by passengers with 25.0% and drivers with 32.7%). There were 79.6% cases with fractures of the skull, 61.1% cases with traumatic cerebral edema, and 45.1% cases with fractures of the facial bones. Of the total <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EZEAC">TBI</abbrev> road traffic-related cases, 96.5% had abnormal CT scan, 33.6% lost their consciousness (44.4% among drivers, 35.4% among pedestrians, and 23.7% among passengers), although 21.2% were suspected of losing consciousness. Consciousness alteration (alteration of consciousness is considering any measure of arousal other than normal: confusion, disorientation, delirium, poor balance, difficulty walking, lightheadedness, etc.) was confirmed for 17.7 % and 44.2% were suspected. Post-traumatic amnesia was diagnosed for 26.5% of patients, while 30.1% were suspected for post-traumatic amnesia. One percent of 4.4% were scheduled for surgery, although 34.5% were suspected for a surgery. After receiving proper medical care, 65.5% of the patients were sent home, 19.5% followed rehabilitation, and 14.2% lost their life (93.3% of whom were males). The main causes of deaths (15, 13.3%) were head injury/secondary intracranial damage (46.7%), head injury/initial injury (40%) and systemic trauma (13.3%).</p>
        <table-wrap id="T2" position="float" orientation="portrait">
          <label>Table 2.</label>
          <caption>
            <p>Clinical features of <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EEQAE">TBI</abbrev> patient’s road traffic-related</p>
          </caption>
          <table id="TID0EDZAE" rules="all">
            <tbody>
              <tr>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>N</bold>
                </td>
                <td rowspan="1" colspan="1">%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>CT scan result</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Abnormal</td>
                <td rowspan="1" colspan="1">109</td>
                <td rowspan="1" colspan="1">96.5</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Normal</td>
                <td rowspan="1" colspan="1">4</td>
                <td rowspan="1" colspan="1">3.5</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113</td>
                <td rowspan="1" colspan="1">100.00</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Specific type of injury</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Soft tissue injury to the scalp. face. or neck</td>
                <td rowspan="1" colspan="1">111</td>
                <td rowspan="1" colspan="1">98.2</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Fracture of the skull</td>
                <td rowspan="1" colspan="1">90</td>
                <td rowspan="1" colspan="1">79.6</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Fracture of the facial bones</td>
                <td rowspan="1" colspan="1">51</td>
                <td rowspan="1" colspan="1">45.1</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Fracture of the cervical spine</td>
                <td rowspan="1" colspan="1">10</td>
                <td rowspan="1" colspan="1">8.8</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Dislocation/sprain of joint or ligaments of the head</td>
                <td rowspan="1" colspan="1">7</td>
                <td rowspan="1" colspan="1">6.2</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Concussion</td>
                <td rowspan="1" colspan="1">104</td>
                <td rowspan="1" colspan="1">92.0</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Traumatic cerebral edema</td>
                <td rowspan="1" colspan="1">69</td>
                <td rowspan="1" colspan="1">61.1</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Focal traumatic brain injury (hematoma)</td>
                <td rowspan="1" colspan="1">3</td>
                <td rowspan="1" colspan="1">2.7</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Epidural hemorrhage</td>
                <td rowspan="1" colspan="1">3</td>
                <td rowspan="1" colspan="1">2.7</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Traumatic subdural hemorrhage</td>
                <td rowspan="1" colspan="1">1</td>
                <td rowspan="1" colspan="1">0.9</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Secondary diffuse traumatic brain injury</td>
                <td rowspan="1" colspan="1">7</td>
                <td rowspan="1" colspan="1">6.2</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Loss of consciousness</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Yes</td>
                <td rowspan="1" colspan="1">38</td>
                <td rowspan="1" colspan="1">33.63</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">No</td>
                <td rowspan="1" colspan="1">51</td>
                <td rowspan="1" colspan="1">45.13</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Suspected</td>
                <td rowspan="1" colspan="1">24</td>
                <td rowspan="1" colspan="1">21.24</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113</td>
                <td rowspan="1" colspan="1">100.00</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Consciousness alteration</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Yes</td>
                <td rowspan="1" colspan="1">20</td>
                <td rowspan="1" colspan="1">17.7</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">No</td>
                <td rowspan="1" colspan="1">43</td>
                <td rowspan="1" colspan="1">38.1</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Suspected</td>
                <td rowspan="1" colspan="1">50</td>
                <td rowspan="1" colspan="1">44.2</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113</td>
                <td rowspan="1" colspan="1">100.00</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Post traumatic amnesia</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Yes</td>
                <td rowspan="1" colspan="1">30</td>
                <td rowspan="1" colspan="1">26.5</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">No</td>
                <td rowspan="1" colspan="1">48</td>
                <td rowspan="1" colspan="1">42.5</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Suspected</td>
                <td rowspan="1" colspan="1">34</td>
                <td rowspan="1" colspan="1">30.1</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Unknown</td>
                <td rowspan="1" colspan="1">1</td>
                <td rowspan="1" colspan="1">0.9</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113</td>
                <td rowspan="1" colspan="1">100.00</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Scheduled for operation</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Yes</td>
                <td rowspan="1" colspan="1">5</td>
                <td rowspan="1" colspan="1">4.4</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">No</td>
                <td rowspan="1" colspan="1">69</td>
                <td rowspan="1" colspan="1">61.1</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Suspected</td>
                <td rowspan="1" colspan="1">39</td>
                <td rowspan="1" colspan="1">34.5</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113</td>
                <td rowspan="1" colspan="1">100.00</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Discharge disposition</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Home</td>
                <td rowspan="1" colspan="1">74</td>
                <td rowspan="1" colspan="1">65.5</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Rehabilitation</td>
                <td rowspan="1" colspan="1">22</td>
                <td rowspan="1" colspan="1">19.5</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Dead</td>
                <td rowspan="1" colspan="1">16</td>
                <td rowspan="1" colspan="1">14.2</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Unknown</td>
                <td rowspan="1" colspan="1">1</td>
                <td rowspan="1" colspan="1">0.9</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">113</td>
                <td rowspan="1" colspan="1">100.00</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Cause of death</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Head injury/initial injury</td>
                <td rowspan="1" colspan="1">6</td>
                <td rowspan="1" colspan="1">40.0</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Head injury/secondary intracranial damage</td>
                <td rowspan="1" colspan="1">7</td>
                <td rowspan="1" colspan="1">46.7</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Systemic trauma</td>
                <td rowspan="1" colspan="1">2</td>
                <td rowspan="1" colspan="1">13.3</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">15</td>
                <td rowspan="1" colspan="1">100.00</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec sec-type="Discussion" id="SECID0E4EAC">
      <title>Discussion</title>
      <p>Our study highlights the complexity of road-related injuries and the burden of traumatic brains as an outcome, in the Republic of Moldova, due to the development of the pilot <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EDFAC">TBI</abbrev> register. Road traffic was responsible for nearly a third of all <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EHFAC">TBI</abbrev> patients in the registry. The results showed males, children and adults aged 30-49 years old had the most cases of <abbrev xlink:title="traumatic brain injuries" id="ABBRID0ELFAC">TBI</abbrev> and pedestrians and vehicle occupants made up the largest proportions of cases by travel mode. The existing country crash database, the Automated Information System “State Road Accidents Register” of the Ministry of Internal Affairs has been used since 2014. Still, it has not been further enhanced and thus does not offer comparable data with the region countries.</p>
      <p><abbrev xlink:title="traumatic brain injuries" id="ABBRID0ERFAC">TBI</abbrev>-related data are complex to assess or even not available in middle-income countries, such as the Republic of Moldova.<sup>[<xref ref-type="bibr" rid="B9">9</xref>]</sup> In the Eastern Partner Countries and European Union – 27 regions, Moldova has the 3rd highest road crash fatality rate (9.24 per 100,000 inhabitants), higher than that of the Eastern Partner Countries and European Union – 27 average fatality rates by 10.4% and 54.5%, respectively.<sup>[<xref ref-type="bibr" rid="B10">10</xref>]</sup></p>
      <p>Law enforcement and regulations are available in Moldova (speed limit, motorcycle helmet, child restraint, drink-driving, seat-belt, and mobile phones while driving). However, speed limits and drink-driving laws are only moderately enforced, and 12% of all road traffic deaths are recorded to involve alcohol.<sup>[<xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B11">11</xref>]</sup> However, the data from our study lead to non-compliance with these policies, for which traffic-related injuries reach high levels.</p>
      <p>The current study shows that road traffic-related TBIs account for almost one-third of all <abbrev xlink:title="traumatic brain injuries" id="ABBRID0ENGAC">TBI</abbrev> cases seeking medical care at trauma units. Despite the fact that our results showed a high rate of injuries in the second part of the day (2 pm–6 pm, 29.2%), a good amount of them required medical treatment between peak hours 2 pm–4 pm (16.8%), thus burdening the medical system. <abbrev xlink:title="traumatic brain injuries" id="ABBRID0ERGAC">TBI</abbrev>’s serious medical outcome was associated with road traffic-related injuries throughout the medical examinations, requiring further extended care rehabilitation. Access to specialized medical services in a shorter time results in less severe cases of <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EVGAC">TBI</abbrev><sup>[<xref ref-type="bibr" rid="B12">12</xref>]</sup>, so it is important to understand health system burdens, predictors of delayed care over time, and how the health outcome and degree severity are linked to the patient’s time of arrival at the <abbrev xlink:title="emergency departments" id="ABBRID0E6GAC">ED</abbrev>.</p>
      <p>Previous literature indicates that around 50 million people suffer from TBIs worldwide every year, of which over 80% are in developing countries.<sup>[<xref ref-type="bibr" rid="B7">7</xref>]</sup> Even while falls and car accidents are the most frequent causes of injury<sup>[<xref ref-type="bibr" rid="B12">12</xref>]</sup>, traumatic brain injuries are disproportionately more common in low- and middle-income nations, where <abbrev xlink:title="traumatic brain injuries" id="ABBRID0ETHAC">TBI</abbrev> rates are three times greater than in high-income ones<sup>[<xref ref-type="bibr" rid="B5">5</xref>,<xref ref-type="bibr" rid="B13">13</xref>,<xref ref-type="bibr" rid="B14">14</xref>]</sup>. The results of our study confirm this, so that the first two major causes in <abbrev xlink:title="traumatic brain injuries" id="ABBRID0E5HAC">TBI</abbrev> remains due to falls (53.5%), and road traffic-related (30.7%).</p>
      <p>Considering the extent of the data obtained in comparison with the global statistical data, these specific injuries are preventable, the responsibility of the population, as well as the involvement of the state could directly contribute to lower accident rates, deaths, long recoveries and extra expenses.</p>
      <p>A strong point of our study is that we were able to use data from a pilot <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EFIAC">TBI</abbrev> Registry to identify key <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EJIAC">TBI</abbrev> insights, such as the overall burden and distributions by socio-demographic crash characteristics. However, this study has some limitations. Included data was only from a limited time window and had limited data available within the registry, so it would be helpful for future studies to expand upon this work with additional years of data and more details on cases and their outcomes. In addition, we find low data availability in the patient medical records, variables that could bring more clarity to the <abbrev xlink:title="traumatic brain injuries" id="ABBRID0ENIAC">TBI</abbrev> pattern among the study population, but this would be another strong argument for implementing a national injury registry.</p>
    </sec>
    <sec sec-type="Conclusions" id="SECID0ERIAC">
      <title>Conclusions</title>
      <p>This is the first study of road traffic-related TBIs conducted in the Republic of Moldova. Specific patient, demographic, and crash characteristics frequently associated with <abbrev xlink:title="traumatic brain injuries" id="ABBRID0EXIAC">TBI</abbrev> as a result of road traffic crashes were identified. These findings can be used to target efforts to decrease the number of road traffic-related TBIs and to make progress towards reducing the incidence of road traffic-related TBIs among the population. The results allow us to draw some conclusions on the urgency of prevention strategies, by strengthening the multidisciplinary efforts in this area. This study provides a first look at the road traffic-related TBIs in the country and demonstrates the usefulness of understanding the magnitude and scope of a specific injury topic area. Creating a high-performance national <abbrev xlink:title="traumatic brain injuries" id="ABBRID0E2IAC">TBI</abbrev> registry would allow the generation of more complex and detailed analyses to inform future road safety strategies and action plans.</p>
    </sec>
    <sec sec-type="Ethics approval" id="SECID0E6IAC">
      <title>Ethics approval</title>
      <p>This study was approved by the Ethic Committee of Nicolae Testemitanu State University of Medicine and Pharmacy, decision No. 44 of 15 March 2018. All methods were carried out in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards, as well as the national law.</p>
    </sec>
    <sec sec-type="Consent for publication" id="SECID0EEJAC">
      <title>Consent for publication</title>
      <p>Not applicable</p>
    </sec>
    <sec sec-type="Conflict of interests" id="SECID0EJJAC">
      <title>Conflict of interests</title>
      <p>All the authors of this manuscript have no competing interest.</p>
    </sec>
    <sec sec-type="Funding" id="SECID0EOJAC">
      <title>Funding</title>
      <p>This publication was funded by the NIH-Fogarty International Trauma Training Program ‘iCREATE: Increasing Capacity for Research in Eastern Europe’ and ‘INITIATE: International Collaboration to Increase Traumatic Brain Injury in Europe‘, both at the University of Iowa and Babes-Bolyai University (National Institutes of Health, Fogarty International Center 2D43TW007261 and 5R21NS098850).</p>
    </sec>
    <sec sec-type="Author contributions" id="SECID0ETJAC">
      <title>Author contributions</title>
      <p>All authors have made significant intellectual contributions to the manuscript. S.C. drafted the manuscript, established the conception and design of the study, analyzed and interpreted the data. C.J.H. assessed the obtained data, drafted the manuscript and had a significant revision of the manuscript with significant intellectual involvement. S.C. and A.C.S. were major contributors to the writing of the manuscript and performing statistical analyses and data interpretation. M.A.C. and C.P.A. contributed to the data interpretation and had finally revised and critically reviewed the article. All authors have critically revised the manuscript for important intellectual content and have given final approval of the version to be published.</p>
    </sec>
    <sec sec-type="Acknowledgements" id="SECID0EYJAC">
      <title>Acknowledgements</title>
      <p>The authors gratefully acknowledge all members of the iCREATE and INITIatE grants for their work on the project overall and for the contributions of project documentation used in this manuscript.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <title>References</title>
      <ref id="B1">
        <mixed-citation xlink:type="simple">1. Johnson WD, Griswold DP. Traumatic brain injury: a global challenge. Lancet Neurol 2017; 16(12):949–50.</mixed-citation>
      </ref>
      <ref id="B2">
        <mixed-citation xlink:type="simple">2. Majdan M, Plancikova D, Maas A, et al. Years of life lost due to traumatic brain injury in Europe: A cross-sectional analysis of 16 countries. PLoS Med 2017; 14(7):e1002331.</mixed-citation>
      </ref>
      <ref id="B3">
        <mixed-citation xlink:type="simple">3. Tagliaferri F, Compagnone C, Korsic M, et al. A systematic review of brain injury epidemiology in Europe. Acta Neurochir (Wien) 2006; 148(3):255–68.</mixed-citation>
      </ref>
      <ref id="B4">
        <mixed-citation xlink:type="simple">4. Peeters W, van den Brande R, Polinder S, et al. Epidemiology of traumatic brain injury in Europe. Acta Neurochir 2015; 157:1683–96.</mixed-citation>
      </ref>
      <ref id="B5">
        <mixed-citation xlink:type="simple">5. Maas AI, Menon DK, Adelson PD, et al. Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research. Lancet Neurol 2017; 16(12):987–1048.</mixed-citation>
      </ref>
      <ref id="B6">
        <mixed-citation xlink:type="simple">6. Maas AI, Menon DK, Steyerberg EW, et al. CENTER-TBI Participants and Investigators. Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury: a prospective longitudinal observational study. Neurosurgery 2015; 76(1):67–80.</mixed-citation>
      </ref>
      <ref id="B7">
        <mixed-citation xlink:type="simple">7. Cociu S, Cebanu S, Rojnoveanu G, et al. Key informant insights in Moldova’s prevention and response system for traumatic brain injuries. Int J Adv Res 2020; 8(5):1245–54.</mixed-citation>
      </ref>
      <ref id="B8">
        <mixed-citation xlink:type="simple">8. Cociu S. Road traffic injuries surveillance – a pilot study in the Republic of Moldova. In: Med Espera International Medical Congress for Students and Young Doctors. 8, 24-26 Septembrie 2020, Chişinău. Chisinau, Republic of Moldova. p. 301–302.</mixed-citation>
      </ref>
      <ref id="B9">
        <mixed-citation xlink:type="simple">9. Dulf D, Coman MA, Tadevosyan A, et al. A 3-country assessment of traumatic brain injury practices and capacity. World Neurosurg 2021; 146:e517–26.</mixed-citation>
      </ref>
      <ref id="B10">
        <mixed-citation xlink:type="simple">10. Barkley AS, Spece LJ, Barros LM, et al. A mixed-methods needs assessment of traumatic brain injury care in a low- and middle-income country setting: building neurocritical care capacity at two major hospitals in Cambodia. J Neurosurg 2019; 20:1–7.</mixed-citation>
      </ref>
      <ref id="B11">
        <mixed-citation xlink:type="simple">11. Peek-Asa C. Traumatic brain injury surveillance in three low-middle income countries. Injury prevention 2020; 26(Suppl 1):A7.</mixed-citation>
      </ref>
      <ref id="B12">
        <mixed-citation xlink:type="simple">12. World Bank. Road safety country profile – The Republic of Moldova. 2021.</mixed-citation>
      </ref>
      <ref id="B13">
        <mixed-citation xlink:type="simple">13. World Health Organization. Global status report on road safety. 2018.</mixed-citation>
      </ref>
      <ref id="B14">
        <mixed-citation xlink:type="simple">14. Peek-Asa C, Coman MA, Zorn A, et al. Association of traumatic brain injury severity and time to definitive care in three low-middle-income European countries. Inj Prev 2022; 28(1):54–60.</mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>
