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                  <text>VOLUME 22 ISSUE 3 NOVEMBER 2022</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>High-risk diagnosis combinations in patients undergoing interhospital transfer: a retrospective observational study</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="45220">
                <text>Electronic health records, Transportation of patients, Machine learning, Emergency helicopter, Helicopter &#13;
ambulance</text>
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            <description>An account of the resource</description>
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                <text>Background: There is limited research on individual patient characteristics, alone or in combination, that contribute &#13;
to the higher levels of mortality in post-transfer patients. The purpose of this work is to identify signifcant combina�tions of diagnoses that identify subgroups of post-interhospital transfer patients experiencing the highest levels of &#13;
mortality.&#13;
Methods: This was a retrospective cross-sectional study using structured electronic health record data from a &#13;
regional health system between 2010–2017. We employed a machine learning approach, association rules mining &#13;
using the Apriori algorithm to identify diagnosis combinations.&#13;
The study population includes all patients aged 21 and older that were transferred within our health system from a &#13;
community hospital to one of three main receiving hospitals.&#13;
Results: Overall, 8893 patients were included in the analysis. Patients experiencing mortality post-transfer were on &#13;
average older (70.5 vs 62.6 years) and on average had more diagnoses in 5 of the 6 diagnostic subcategories. Within &#13;
the diagnostic subcategories, most diagnoses were comorbidities and active medical problems, with hypertension, &#13;
atrial fbrillation, and acute respiratory failure being the most common. Several combinations of diagnoses identifed &#13;
patients that exceeded 50% post-interhospital transfer mortality.&#13;
Conclusions: Comorbid burden, in combination with active medical problems, were most predictive for those &#13;
experiencing the highest rates of mortality. Further improving patient level prognostication can facilitate informed &#13;
decision making between providers and patients to shift the paradigm from transferring all patients to higher level &#13;
care to only transferring those who will beneft or desire continued care, and reduce futile transfers.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45222">
                <text>Andrew P. Reimer, Nicholas K. Schiltz and Siran M. Koroukian</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="45223">
                <text> BMC Emergency Medicine</text>
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          <element elementId="40">
            <name>Date</name>
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              <elementText elementTextId="45224">
                <text>(2022) 22:187</text>
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            <name>Contributor</name>
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                <text>Fajar bagus W</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>English</text>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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      <tag tagId="2654">
        <name>Electronic health records</name>
      </tag>
      <tag tagId="2656">
        <name>Emergency helicopter</name>
      </tag>
      <tag tagId="2657">
        <name>Helicopter  ambulance</name>
      </tag>
      <tag tagId="2017">
        <name>Jurnal Internasional Keperawatan</name>
      </tag>
      <tag tagId="816">
        <name>machine learning</name>
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      <tag tagId="2655">
        <name>Transportation of patients</name>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>VOLUME 22 ISSUE 3 NOVEMBER 2022</text>
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      <name>Text</name>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Perceived human factors from the perspective of paramedics – a qualitative &#13;
interview study</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45284">
                <text>Emergency medical services, Ergonomics, Paramedic, Work environment, Prehospital emergency care</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Background: The work environment in prehospital emergency medical care setting is dynamic and complex and &#13;
includes many stressors. However, little is known about the perceived human factors from the perspective of para�medics. In this study, we investigated, from the perspective of paramedics, what are the human factors, and how are &#13;
they linked to prehospital emergency medical care?&#13;
Methods: Data were collected through semi-structured interviews (n=15) with Finnish paramedics. The material &#13;
was analyzed using inductive content analysis.&#13;
Results: Three main categories of human factors were identifed. The frst main category consisted of factors related &#13;
to work which were divided into two generic categories: “Challenging organizational work environment” and “Chang�ing external work environment.” The second main category comprised factors related to paramedics themselves and &#13;
were divided into three generic categories: “Issues linked to personality,” “Personal experiences”, and “Factors resulting &#13;
from personal features.” The third main category described that paramedics have difculties in understanding and &#13;
describing human factors.&#13;
Conclusion: This study revealed numerous factors that can afect paramedics’ work in the EMS setting. Increased &#13;
knowledge about human factors in the EMS setting provides organizations with the opportunity to develop pro�cedures that can support paramedics’ cognitive and physical work. Human factors in diferent situations can be &#13;
addressed to improve occupational and patient safety</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45286">
                <text>Anna Poranen, Anne Kouvonen and Hilla Nordquist</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="45287">
                <text>BMC Emergency Medicine</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45288">
                <text>(2022) 22:178</text>
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          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45289">
                <text>Fajar bagus W</text>
              </elementText>
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          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>PDF</text>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="45291">
                <text>english</text>
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    <tagContainer>
      <tag tagId="2018">
        <name>Emergency medical services</name>
      </tag>
      <tag tagId="1165">
        <name>Ergonomics</name>
      </tag>
      <tag tagId="2017">
        <name>Jurnal Internasional Keperawatan</name>
      </tag>
      <tag tagId="2031">
        <name>Paramedic</name>
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      <tag tagId="1029">
        <name>Prehospital emergency care</name>
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      <tag tagId="2642">
        <name>Work environment</name>
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              <description>A name given to the resource</description>
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                  <text>VOLUME 22 ISSUE 3 NOVEMBER 2022</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="44941">
                <text>A prediction model for massive hemorrhage in trauma: a retrospective observational study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="44942">
                <text>Trauma, Massive hemorrhage, LASSO, Prediction model, Assisted diagnosis</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Background: Massive hemorrhage is the main cause of preventable death after trauma. This study aimed to estab�lish prediction models for early diagnosis of massive hemorrhage in trauma.&#13;
Methods: Using the trauma database of Chinese PLA General Hospital, two logistic regression (LR) models were &#13;
ft to predict the risk of massive hemorrhage in trauma. Sixty-two potential predictive variables, including clinical &#13;
symptoms, vital signs, laboratory tests, and imaging results, were included in this study. Variable selection was done &#13;
using the least absolute shrinkage and selection operator (LASSO) method. The frst model was constructed based on &#13;
LASSO feature selection results. The second model was constructed based on the frst vital sign recordings of trauma &#13;
patients after admission. Finally, a web calculator was developed for clinical use.&#13;
Results: A total of 2353 patients were included in this study. There were 377 (16.02%) patients with massive hemor�rhage. The selected predictive variables were heart rate (OR: 1.01; 95% CI: 1.01–1.02; P&lt;0.001), pulse pressure (OR: &#13;
0.99; 95% CI: 0.98–0.99; P=0.004), base excess (OR: 0.90; 95% CI: 0.87–0.93; P&lt;0.001), hemoglobin (OR: 0.95; 95% CI: &#13;
0.95–0.96; P&lt;0.001), displaced pelvic fracture (OR: 2.13; 95% CI: 1.48–3.06; P&lt;0.001), and a positive computed tomogra�phy scan or positive focused assessment with sonography for trauma (OR: 1.62; 95% CI: 1.21–2.18; P=0.001). Model 1, &#13;
which was developed based on LASSO feature selection results and LR, displayed excellent discrimination (AUC: 0.894; &#13;
95% CI: 0.875–0.912), good calibration (P=0.405), and clinical utility. In addition, the predictive power of model 1 was &#13;
better than that of model 2 (AUC: 0.718; 95% CI: 0.679–0.757). Model 1 was deployed as a public web tool (http://82.&#13;
156.217.249:8080/).&#13;
Conclusions: Our study developed and validated prediction models to assist medical staf in the early diagnosis of &#13;
massive hemorrhage in trauma. An open web calculator was developed to facilitate the practical application of the &#13;
research results.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="44944">
                <text>Chengyu Guo, Minghui Gong,  Lei Ji, Fei Pan, Hui Han, Chunping Li and Tanshi Li</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="44945">
                <text>BMC Emergency Medicine</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="44946">
                <text>(2022) 22:180</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="44947">
                <text>Fajar bagus W</text>
              </elementText>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="44948">
                <text>PDF</text>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="44949">
                <text>English</text>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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                <text>Text</text>
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    <tagContainer>
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        <name>Assisted diagnosis</name>
      </tag>
      <tag tagId="2017">
        <name>Jurnal Internasional Keperawatan</name>
      </tag>
      <tag tagId="2678">
        <name>LASSO</name>
      </tag>
      <tag tagId="2677">
        <name>Massive hemorrhage</name>
      </tag>
      <tag tagId="2679">
        <name>Prediction model</name>
      </tag>
      <tag tagId="2228">
        <name>Trauma</name>
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                  <text>VOLUME 22 ISSUE 3 NOVEMBER 2022</text>
                </elementText>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="44971">
                <text>Factors infuencing conveyance of older adults with minor head injury by paramedics to the emergency department: a multiple methods study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="44972">
                <text>Head Injury, Minor, Injuries, Head, Aged 65+, Paramedic, Emergency Medical Services, Interview, Decision &#13;
Making</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Background: Head injury (HI) in older adults due to low-energy falls result in a substantial number of emergency &#13;
department (ED) attendances. However, mortality associated with minor HI is very low. Reducing conveyance to &#13;
hospital is important for older adults and is a priority for the National Health Service (NHS). Therefore, paramedics &#13;
are required to make accurate decisions regarding conveyance to the ED. This study used routine data and semi�structured interviews to explore the factors that infuence paramedic decision-making when considering whether to &#13;
convey an adult aged 65 years and over with a minor HI to the ED.&#13;
Methods: Semi-structured telephone interviews were completed with ten UK paramedics from a single EMS (ambu�lance) provider organisation. Interviews explored the factors infuencing the paramedics’ conveyance decision-mak�ing in adults aged 65 years and over with a minor HI. Data were initially analysed inductively to develop a thematic &#13;
framework. A retrospective analysis of ambulance service data was also completed to determine the scope and scale &#13;
of the issue in Southwest England. An in-depth audit of 100 conveyed patient records was used to determine the &#13;
proportion of patients conveyed to the ED who met National Institute for Health and Care Excellence (NICE) and Joint &#13;
Royal Colleges Ambulance Liaison Committee (JRCALC) guidelines.&#13;
Results: In 2019 South Western Ambulance Service NHS Foundation Trust (SWASFT) attended 15,650 emergency &#13;
calls to patients aged 65 and over with minor HI, with 70.5% conveyed to ED. 81% of conveyed patients met NICE &#13;
and JRCALC guideline criteria for conveyance, with the remainder conveyed due to wound care or other medical &#13;
concerns. The framework developed from the interviews comprised four themes: resources; patient factors; conse�quences; paramedic factors. Important factors included: the patient’s social situation; guidelines; clinical support avail�ability; the history and presentation of the patient; risk.&#13;
Conclusion: This study examined paramedic conveyance decisions for older people with minor HI. It identifed mul�tiple infuencing factors, highlighting the complex nature of these decisions, and may serve as a basis for developing &#13;
an intervention to safely decrease ED conveyance in this patient group</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Helen Nicholson, Sarah Voss, Sarah Black, Hazel Taylor, David Williams and Jonathan Benger</text>
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                <text>(2022) 22:184</text>
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                <text>Fajar Bagus W</text>
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                <text>Patient and hospital characteristics predict prolonged emergency department length of stay and in-hospital mortality: a nationwide &#13;
analysis in Korea</text>
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                <text>Background: Prolonged emergency department length of stay (EDLOS) in critically ill patients leads to increased &#13;
mortality. This nationwide study investigated patient and hospital characteristics associated with prolonged EDLOS &#13;
and in-hospital mortality in adult patients admitted from the emergency department (ED) to the intensive care unit &#13;
(ICU).&#13;
Methods: We conducted a retrospective cohort study using data from the National Emergency Department Infor‑&#13;
mation System. Prolonged EDLOS was defned as an EDLOS of≥6 h. We constructed multivariate logistic regression &#13;
models of patient and hospital variables as predictors of prolonged EDLOS and in-hospital mortality.&#13;
Results: Between 2016 and 2019, 657,622 adult patients were admitted to the ICU from the ED, representing 2.4% of &#13;
all ED presentations. The median EDLOS of the overall study population was 3.3 h (interquartile range, 1.9–6.1 h) and &#13;
25.3% of patients had a prolonged EDLOS. Patient characteristics associated with prolonged EDLOS included night�time ED presentation and Charlson comorbidity index (CCI) score of 1 or higher. Hospital characteristics associated &#13;
with prolonged EDLOS included a greater number of stafed beds and a higher ED level. Prolonged EDLOS was associ‑&#13;
ated with in-hospital mortality after adjustment for selected confounders (adjusted odds ratio: 1.18, 95% confdence &#13;
interval: 1.16–1.20). Patient characteristics associated with in-hospital mortality included age≥65 years, transferred-in, &#13;
artifcially ventilated in the ED, assignment of initial triage to more urgency, and CCI score of 1 or higher. Hospital char‑&#13;
acteristics associated with in-hospital mortality included a lesser number of stafed beds and a lower ED level.&#13;
Conclusions: In this nationwide study, 25.3% of adult patients admitted to the ICU from the ED had a prolonged &#13;
EDLOS, which in turn was signifcantly associated with an increased in-hospital mortality risk. Hospital characteris‑&#13;
tics, including the number of stafed beds and the ED level, were associated with prolonged EDLOS and in-hospital &#13;
mortality</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Kyung‑Shin Lee, Hye Sook Min, Jae Young Moon,  Daesung Lim, Younghwan Kim, Eunsil Ko, You Sun Kim, Joohae Kim, Jeehye Lee and Ho Kyung Sung</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>BMC Emergency Medicine</text>
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                <text>(2022) 22:183</text>
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                <text>Fajar bagus W</text>
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        <name>Critical care</name>
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        <name>Emergency department</name>
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        <name>in-hospital mortality</name>
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      <tag tagId="2017">
        <name>Jurnal Internasional Keperawatan</name>
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        <name>Length of stay</name>
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                  <text>VOLUME 22 ISSUE 3 NOVEMBER 2022</text>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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            <description>A name given to the resource</description>
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                <text>Role of CD8+ T cell exhaustion in the progression and prognosis of acute respiratory distress syndrome induced by sepsis: a prospective bservational study  </text>
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                <text>Sepsis, Acute respiratory distress syndrome, CD8+ T cell exhaustion, Coinhibitory receptors, Prognosis</text>
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                <text>Background: CD8+ T cells are important for protective immunity against intracellular pathogens. Excessive amounts &#13;
of antigen and/or infammatory signals often lead to the gradual deterioration of CD8+ T cell function, a state called &#13;
“exhaustion”. However, the association between CD8+ T cell exhaustion and acute respiratory distress syndrome &#13;
(ARDS) has not been studied. This study was conducted to elucidate how CD8+ T cells and inhibitory receptors were &#13;
related to the clinical prognosis of ARDS.&#13;
Methods: A prospective observational study in an emergency department enrolled patients who were diagnosed &#13;
with sepsis-associated ARDS according to the sepsis-3 criteria and Berlin defnition. Peripheral blood samples were &#13;
collected within 24h post recruitment. CD8+ T cell count, proliferation ratio, cytokine secretion, and the expression of &#13;
coinhibitory receptors were assayed.&#13;
Results: Sixty-two patients with ARDS met the inclusion criteria. CD8+ T cell counts and proliferation rates were &#13;
dramatically decreased in non-surviving ARDS patients. Increasing programmed cell death 1 (PD-1) expression on the &#13;
CD8+ T cell surface was seen in patients with worse organ function, while an increasing level of T cell immunoglobu�lin mucin-3 (Tim-3) was associated with a longer duration of the shock. Kaplan–Meier analysis showed that low CD8+&#13;
T cell percentages and increased inhibitory molecule expression were signifcantly associated with a worse survival rate.&#13;
Conclusions: CD8+ T cells and coinhibitory receptors are promising independent prognostic markers of sepsis�induced ARDS, and increased CD8+ T cell exhaustion is signifcantly correlated with poor prognosis.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45506">
                <text>Lei Yan, Yumei Chen, Yi Han and Chaoyang Tong</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="45507">
                <text> BMC Emergency Medicine</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>(2022) 22:182</text>
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            <description>An entity responsible for making contributions to the resource</description>
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                <text>Fajar Bagus W</text>
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            <name>Language</name>
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              <elementText elementTextId="45511">
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        <name>CD8+ T cell exhaustion</name>
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        <name>Coinhibitory receptors</name>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>VOLUME 22 ISSUE 3 NOVEMBER 2022</text>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>The application of an age adjusted D-dimer threshold to rule out suspected venous thromboembolism (VTE) in an emergency department setting: a retrospective diagnostic cohort study</text>
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                <text>Background: Venous Thromboembolic disease (VTE) poses a diagnostic challenge for clinicians in acute care. Over &#13;
reliance on reference standard investigations can lead to over treatment and potential harm.&#13;
We sought to evaluate the pragmatic performance and implications of using an age adjusted D-dimer (AADD) strat�egy to rule out VTE in patients with suspected disease attending an emergency department (ED) setting. We aimed &#13;
to determine diagnostic test characteristics and assess whether this strategy would result in proportional imaging &#13;
reduction and potential cost savings.&#13;
Methods: Design: Single centre retrospective diagnostic cohort study.&#13;
All patients&gt;50 years old evaluated for possible VTE who presented to the emergency department over a consecu�tive 12-month period between January and December 2016 with a positive D-dimer result. Clinical assessment &#13;
records and reference standard imaging results were followed up by multiple independent adjudicators and coded as &#13;
VTE positive or negative.&#13;
Results: During the study period, there were 2132 positive D-dimer results. One thousand two hundred thirty-six &#13;
patients received reference standard investigations. A total increase of 314/1236 (25.1%) results would have been &#13;
coded as true negatives as opposed to false positive if the AADD cut of point had been applied, with 314 reference &#13;
standard tests subsequently avoided. The AADD cut of had comparable sensitivity to the current cut of despite this &#13;
increase in specifcity; sensitivities for the diagnosis of DVT were 99.28% (95% CI 96.06–99.98%) and 97.72% for PE &#13;
(95% CI 91.94% to 97.72). There were 3 false negative results using the AADD strategy.&#13;
Conclusions: In patients with suspected VTE with a low or moderate pre-test probability, the application of AADD &#13;
appears to increase the proportion of patients in which VTE can be excluded without the need for reference standard &#13;
imaging. This management strategy is likely to be associated with substantial reduction in anticoagulation treatment, &#13;
investigations and cost/time savings.</text>
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                <text>Liam Barrett , Tom Jones and Daniel Horner</text>
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            <description>An entity responsible for making the resource available</description>
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                <text> BMC Emergency Medicine</text>
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                <text>(2022) 22:186</text>
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                <text>Fajar bagus W</text>
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            <description>A language of the resource</description>
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                <text>English</text>
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        <name>Compression Ultrasonography</name>
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        <name>D-dimer</name>
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        <name>DVT</name>
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      <tag tagId="2093">
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      <tag tagId="2017">
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                  <text>VOLUME 22 ISSUE 3 NOVEMBER 2022</text>
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            <name>Title</name>
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            <elementTextContainer>
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                <text>The efect of time of measurement on the discriminant ability for mortality in trauma of a pre-hospital shock index multiplied by age and divided by the Glasgow  Coma Score: a registry study </text>
              </elementText>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45735">
                <text>Emergency medical services, Critical care, Shock index</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45736">
                <text>Background: The shock index (SI) and its derivatives have been shown to predict mortality in severely injured &#13;
patients, both in pre-hospital and in-hospital settings. However, the impact of the time of measurement on the &#13;
discriminative ability of the pre-hospital SI is unknown. The aim of this study was to evaluate whether the time of &#13;
measurement infuences the discriminative ability of the SI multiplied by age (SIA) and divided by the Glasgow Coma &#13;
Score (SIA/G).&#13;
Methods: Registry data were obtained from the national helicopter emergency medical services (HEMS) on trauma &#13;
patients aged≥18 years. The SI values were calculated based on the frst measured vitals of the trauma patients by &#13;
the HEMS unit. The discriminative ability of the SIA/G, with 30-day mortality as the endpoint, was evaluated according &#13;
to diferent delay times (0−19, 20−39 and≥40 min) from the initial incident. Sub-group analyses were performed &#13;
for trauma patients without a traumatic brain injury (TBI), patients with an isolated TBI and patients with polytrauma, &#13;
including a TBI.&#13;
Results: In total, 3,497 patients were included in the study. The SIA/G was higher in non-survivors (median 7.8 [inter�quartile range 4.7–12.3] vs. 2.4 [1.7–3.6], P&lt;0.001). The overall area under the receiver operator characteristic curve &#13;
(AUROC) for the SIA/G was 0.87 (95% CI: 0.85–0.89). The AUROC for the SIA/G was similar in the short (0.88, 95% CI: &#13;
0.85–0.91), intermediate (0.86, 95% CI: 0.84–0.89) and long (0.86, 95% CI: 0.82–0.89) measurement delay groups. The &#13;
fndings were similar in the three trauma sub-groups.&#13;
Conclusions: The discriminative ability of the SIA/G in predicting 30-day mortality was not signifcantly afected by &#13;
the measurement time of the index in the pre-hospital setting. The SIA/G is a simple and reliable tool for assessing the &#13;
risk of mortality among severely injured patients in the pre-hospital setting</text>
              </elementText>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45737">
                <text>Mikael Laaksonen, Johannes Björkman, Timo Iirola, Lasse Raatiniemi and Jouni Nurmi</text>
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            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="45738">
                <text>BMC Emergency Medicine</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45739">
                <text>(2022) 22:189</text>
              </elementText>
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          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45740">
                <text>Fajar bagus W</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45741">
                <text>PDF</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45742">
                <text>English</text>
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          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45743">
                <text>Text</text>
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          </element>
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    </elementSetContainer>
    <tagContainer>
      <tag tagId="2294">
        <name>Critical care</name>
      </tag>
      <tag tagId="2018">
        <name>Emergency medical services</name>
      </tag>
      <tag tagId="2017">
        <name>Jurnal Internasional Keperawatan</name>
      </tag>
      <tag tagId="2622">
        <name>Shock index</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="4314" public="1" featured="1">
    <fileContainer>
      <file fileId="4350">
        <src>https://repository.horizon.ac.id/files/original/235d1021b64cf77232be83c8333e3e87.PDF</src>
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="44940">
                  <text>VOLUME 22 ISSUE 3 NOVEMBER 2022</text>
                </elementText>
              </elementTextContainer>
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      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45744">
                <text>The impact of COVID-19 on an Irish Emergency Department (ED): a cross-sectional study exploring the factors infuencing ED utilisation prior to and during the pandemic from the patient perspective </text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45745">
                <text>Emergency department utilisation, Crowding, COVID-19, Access to care, Emergency department &#13;
operations</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45746">
                <text>Background: The collateral damage of SARS-CoV-2 is a serious concern in the Emergency Medicine (EM) community, &#13;
specifcally in relation to delayed care increasing morbidity and mortality in attendances unrelated to COVID-19. The &#13;
objectives of this study are to describe the profle of patients attending an Irish ED prior to, and during the pandemic, &#13;
and to investigate the factors infuencing ED utilisation in this cohort.&#13;
Methods: This was a cross-sectional study with recruitment at three time-points prior to the onset of COVID-19 in &#13;
December 2019 (n=47) and February 2020 (n=57) and post-Lockdown 1 in July 2020 (n=70). At each time-point all &#13;
adults presenting over a 24h period were eligible for inclusion. Clinical data were collected via electronic records and &#13;
a questionnaire provided information on demographics, healthcare utilisation, service awareness and factors infu�encing the decision to attend the ED. Data analysis was performed in SPSS and included descriptive and inferential &#13;
statistics.&#13;
Results: The demographic and clinical profle of patients across time-points was comparable in terms of age &#13;
(p=0.904), gender (p=0.584) and presenting complaint (p=0.556). Median length of stay in the ED decreased from &#13;
7.25h (IQR 4.18–11.22) in February to 3.86h (IQR 0.41–9.14) in July (p≤0.005) and diferences were observed in dispo�sition (p≤0.001). COVID-19 infuenced decision to attend the ED for 31% of patients with 9% delaying presentation. &#13;
Post-lockdown, patients were less likely to attend the ED for reassurance (p≤0.005), for a second opinion (p≤0.005) &#13;
or to see a specialist (p≤0.05).&#13;
Conclusions: Demographic and clinical presentations of ED patients prior to the frst COVID-19 lockdown and dur�ing the reopening phase were comparable, however, COVID-19 signifcantly impacted health-seeking behaviour and &#13;
operational metrics in the ED at this phase of the pandemic. These fndings provide useful information for hospitals &#13;
with regard to pandemic preparedness and also have wider implications for planning of future health service delivery.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45747">
                <text>Niamh M. Cummins, Carrie Garavan, Louise A. Barry, Collette Devlin, Gillian Corey, Fergal Cummins, Damien Ryan, Gerard McCarthy8 and Rose Galvin</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="45748">
                <text> BMC Emergency Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45749">
                <text>(2022) 22:176</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45750">
                <text>Fajar bagus W</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45751">
                <text>PDF</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45752">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45753">
                <text>Text</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
    <tagContainer>
      <tag tagId="2618">
        <name>Access to care</name>
      </tag>
      <tag tagId="8">
        <name>COVID-19</name>
      </tag>
      <tag tagId="2617">
        <name>Crowding</name>
      </tag>
      <tag tagId="2619">
        <name>Emergency department  operations</name>
      </tag>
      <tag tagId="2616">
        <name>Emergency department utilisation</name>
      </tag>
      <tag tagId="2017">
        <name>Jurnal Internasional Keperawatan</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="4316" public="1" featured="1">
    <fileContainer>
      <file fileId="4352">
        <src>https://repository.horizon.ac.id/files/original/ec260f4567cc22d58e7e98fb2999a157.PDF</src>
        <authentication>fa7f254a72289778f34f0cc358914a63</authentication>
      </file>
    </fileContainer>
    <collection collectionId="285">
      <elementSetContainer>
        <elementSet elementSetId="1">
          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="44940">
                  <text>VOLUME 22 ISSUE 3 NOVEMBER 2022</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45764">
                <text>The impact of Hydroxyurea on the rates of Vaso–occlusive crises in patients with sickle cell disease in Saudi Arabia: a single–center study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45765">
                <text>Sickle cell disease, Hydroxyurea, Vaso-occlusive crisis</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45766">
                <text>Background: Vaso–occlusive crises (VOCs) are acute and common painful complication of sickle cell disease (SCD), &#13;
and are the main reason behind the frequent emergency department visits among SCD patients. Hydroxyurea (HU) is &#13;
an old and commonly used medication that demonstrated its efectiveness in reducing the risk of VOCs and the inci‑&#13;
dence of hospitalization. Although multiple studies have examined the impact of HU on the rates of VOCs, few have &#13;
explored its efectiveness among SCD patients in Saudi Arabia.&#13;
Methods: This was a single–center retrospective cohort study in which the electronic medical records of patients &#13;
with SCD who have not had any previous exposure to HU prior to the initiation of HU treatment for ≥12months were &#13;
recruited. Paired t–test was conducted to examine the diference in the rates of VOCs, and levels of hemoglobin (Hgb), &#13;
hematocrit (HCT), and platelet counts (PLT Ct) prior to the initiation of HU therapy and 12months later. Multiple linear &#13;
regression was conducted to examine whether age, gender, use of opioid analgesics, Hgb, HCT, and PLT Ct levels &#13;
predict higher or lower rates of VOCs.&#13;
Results: One hundred and ffty–six patients met the inclusion criteria and were included in the analysis. About &#13;
51% of the patients were males, and their mean age was 12.69 years. The mean HU dosage was 16.52 mg/kg/day, &#13;
and the mean reduction in the rate of VOCs was 1.36 events per patient per year (95% CI [1.03–1.70], p&lt;0.0001) &#13;
after the initiation of HU. Females were more likely to have greater reduction in the rates of VOCs in comparison to &#13;
their male counterparts (β–estimate=12.85, 95% CI [0.759–24.93], p=0.0374).&#13;
Conclusion: The use of HU results in a signifcant reduction in the rates of VOCs and emergency department visits. &#13;
Future studies with robust research designs should be conducted to further examine the impact of HU on VOCs, &#13;
hospitalization, and length of stay as well as compare HU to other newly approved medications for SCD, such as &#13;
crizanlizumab.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45767">
                <text>Sahar Abdullah Alkhalifah, Miteb Alanazi, Majed Ali Almasaoud, Hazim Saeed Al‑Malki,Faisal Mohammed Al‑Murdhi, Mohammed Saad Al‑hazzaa, Suliaman Musaed Al‑Mufarrij ,Mohammed Ali Albabtain, Abdulrahman Abdullah Alshiakh and Yazed AlRuthia</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="45768">
                <text>BMC Emergency Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45769">
                <text>(2022) 22:188</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45770">
                <text>Fajar bagus W</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45771">
                <text>PDF</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45772">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45773">
                <text>Text</text>
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      <tag tagId="2613">
        <name>Hydroxyurea</name>
      </tag>
      <tag tagId="2017">
        <name>Jurnal Internasional Keperawatan</name>
      </tag>
      <tag tagId="2612">
        <name>Sickle cell disease</name>
      </tag>
      <tag tagId="2614">
        <name>Vaso-occlusive crisis</name>
      </tag>
    </tagContainer>
  </item>
</itemContainer>
