Hospital Stay as a Proxy Indicator for Severe Injury in Earthquakes: A Retrospective Analysis
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{"title"=>"Hospital Stay as a Proxy Indicator for Severe Injury in Earthquakes: A Retrospective Analysis", "type"=>"journal", "authors"=>[{"first_name"=>"Lu Ping", "last_name"=>"Zhao", "scopus_author_id"=>"55493610300"}, {"first_name"=>"Martin", "last_name"=>"Gerdin", "scopus_author_id"=>"55055757100"}, {"first_name"=>"Lina", "last_name"=>"Westman", "scopus_author_id"=>"55217918700"}, {"first_name"=>"Jose Manuel", "last_name"=>"Rodriguez-Llanes", "scopus_author_id"=>"27467726800"}, {"first_name"=>"Qi", "last_name"=>"Wu", "scopus_author_id"=>"57199303523"}, {"first_name"=>"Barbara", "last_name"=>"van den Oever", "scopus_author_id"=>"55217802400"}, {"first_name"=>"Liang", "last_name"=>"Pan", "scopus_author_id"=>"55647455200"}, {"first_name"=>"Manuel", "last_name"=>"Albela", "scopus_author_id"=>"55217801700"}, {"first_name"=>"Gao", "last_name"=>"Chen", "scopus_author_id"=>"57198650202"}, {"first_name"=>"De Sheng", "last_name"=>"Zhang", "scopus_author_id"=>"57198600857"}, {"first_name"=>"Debarati", "last_name"=>"Guha-Sapir", "scopus_author_id"=>"6602405372"}, {"first_name"=>"Johan", "last_name"=>"von Schreeb", "scopus_author_id"=>"6507104780"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84876060076", "pui"=>"368704951", "doi"=>"10.1371/journal.pone.0061371", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "sgr"=>"84876060076", "pmid"=>"23585897"}, "id"=>"5bd71908-6e44-3cc1-bd45-9057204cffa6", "abstract"=>"INTRODUCTION: Earthquakes are the most violent type of natural disasters and injuries are the dominant medical problem in the early phases after earthquakes. However, likely because of poor data availability, high-quality research on injuries after earthquakes is lacking. Length of hospital stay (LOS) has been validated as a proxy indicator for injury severity in high-income settings and could potentially be used in retrospective research of injuries after earthquakes. In this study, we assessed LOS as an adequate proxy indicator for severe injury in trauma survivors of an earthquake.\\n\\nMETHODS: A retrospective analysis was conducted using a database of 1,878 injured patients from the 2008 Wenchuan earthquake. Our primary outcome was severe injury, defined as a composite measure of serious injury or resource use. Secondary outcomes were serious injury and resource use, analysed separately. Non-parametric receiver operating characteristics (ROC) and area under the curve (AUC) analysis was used to test the discriminatory accuracy of LOS when used to identify severe injury. An 0.7<AUC<0.8 was defined as adequate.\\n\\nRESULTS: Our study shows that LOS discriminatory accuracy is poor for the primary outcome. However, LOS discriminatory accuracy is adequate for resource use, excluding critical orthopaedic interventions and debridement.\\n\\nCONCLUSIONS: Length of hospital stay was not validated as a proxy indicator for severe injury in earthquake survivors. However, LOS was found to be a proxy for major nonorthopaedic surgery and blood transfusion. These findings can be useful for retrospective research on earthquake-injured patients when detailed hospital records are not available.", "link"=>"http://www.mendeley.com/research/hospital-stay-proxy-indicator-severe-injury-earthquakes-retrospective-analysis", "reader_count"=>18, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Researcher"=>6, "Student > Ph. D. Student"=>2, "Student > Master"=>6, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Researcher"=>6, "Student > Ph. D. Student"=>2, "Student > Master"=>6, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Environmental Science"=>1, "Nursing and Health Professions"=>2, "Medicine and Dentistry"=>6, "Sports and Recreations"=>1, "Business, Management and Accounting"=>1, "Social Sciences"=>5}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>6}, "Social Sciences"=>{"Social Sciences"=>5}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Environmental Science"=>{"Environmental Science"=>1}}, "reader_count_by_country"=>{"Belgium"=>1, "Spain"=>1}, "group_count"=>1}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1019301"], "description"=>"<p>ICISS  =  ICD-derived Injury Severity Score.</p>", "links"=>[], "tags"=>["statistics", "Biostatistics", "Clinical research design", "Retrospective studies", "Critical care and emergency medicine", "Global health", "Non-clinical medicine", "Health care policy", "Health statistics", "surgery", "General surgery", "Orthopedic surgery", "Trauma surgery"], "article_id"=>678432, "categories"=>["Mathematics", "Medicine"], "users"=>["Lu-Ping Zhao", "Martin Gerdin", "Lina Westman", "Jose Manuel Rodriguez-Llanes", "Qi Wu", "Barbara van den Oever", "Liang Pan", "Manuel Albela", "Gao Chen", "De-Sheng Zhang", "Debarati Guha-Sapir", "Johan von Schreeb"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061371.t001", "stats"=>{"downloads"=>2, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Outcomes_and_definitions_/678432", "title"=>"Outcomes and definitions.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-09 02:20:32"}
  • {"files"=>["https://ndownloader.figshare.com/files/1019302", "https://ndownloader.figshare.com/files/1019321"], "description"=>"<div><p>Introduction</p><p>Earthquakes are the most violent type of natural disasters and injuries are the dominant medical problem in the early phases after earthquakes. However, likely because of poor data availability, high-quality research on injuries after earthquakes is lacking. Length of hospital stay (LOS) has been validated as a proxy indicator for injury severity in high-income settings and could potentially be used in retrospective research of injuries after earthquakes. In this study, we assessed LOS as an adequate proxy indicator for severe injury in trauma survivors of an earthquake.</p><p>Methods</p><p>A retrospective analysis was conducted using a database of 1,878 injured patients from the 2008 Wenchuan earthquake. Our primary outcome was severe injury, defined as a composite measure of serious injury or resource use. Secondary outcomes were serious injury and resource use, analysed separately. Non-parametric receiver operating characteristics (ROC) and area under the curve (AUC) analysis was used to test the discriminatory accuracy of LOS when used to identify severe injury. An 0.7</p><p>Results</p><p>Our study shows that LOS discriminatory accuracy is poor for the primary outcome. However, LOS discriminatory accuracy is adequate for resource use, excluding critical orthopaedic interventions and debridement.</p><p>Conclusions</p><p>Length of hospital stay was not validated as a proxy indicator for severe injury in earthquake survivors. However, LOS was found to be a proxy for major nonorthopaedic surgery and blood transfusion. These findings can be useful for retrospective research on earthquake-injured patients when detailed hospital records are not available.</p></div>", "links"=>[], "tags"=>["statistics", "Biostatistics", "Clinical research design", "Retrospective studies", "Critical care and emergency medicine", "Global health", "Non-clinical medicine", "Health care policy", "Health statistics", "surgery", "General surgery", "Orthopedic surgery", "Trauma surgery", "proxy", "retrospective"], "article_id"=>678433, "categories"=>["Mathematics", "Medicine"], "users"=>["Lu-Ping Zhao", "Martin Gerdin", "Lina Westman", "Jose Manuel Rodriguez-Llanes", "Qi Wu", "Barbara van den Oever", "Liang Pan", "Manuel Albela", "Gao Chen", "De-Sheng Zhang", "Debarati Guha-Sapir", "Johan von Schreeb"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0061371.s001", "https://dx.doi.org/10.1371/journal.pone.0061371.s002"], "stats"=>{"downloads"=>8, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hospital_Stay_as_a_Proxy_Indicator_for_Severe_Injury_in_Earthquakes_A_Retrospective_Analysis_/678433", "title"=>"Hospital Stay as a Proxy Indicator for Severe Injury in Earthquakes: A Retrospective Analysis", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-04-09 02:20:33"}
  • {"files"=>["https://ndownloader.figshare.com/files/1019297"], "description"=>"<p>Flow chart describing how the final sample was obtained.</p>", "links"=>[], "tags"=>["statistics", "Biostatistics", "Clinical research design", "Retrospective studies", "Critical care and emergency medicine", "Global health", "Non-clinical medicine", "Health care policy", "Health statistics", "surgery", "General surgery", "Orthopedic surgery", "Trauma surgery", "describing"], "article_id"=>678428, "categories"=>["Mathematics", "Medicine"], "users"=>["Lu-Ping Zhao", "Martin Gerdin", "Lina Westman", "Jose Manuel Rodriguez-Llanes", "Qi Wu", "Barbara van den Oever", "Liang Pan", "Manuel Albela", "Gao Chen", "De-Sheng Zhang", "Debarati Guha-Sapir", "Johan von Schreeb"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061371.g001", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Flow_chart_describing_how_the_final_sample_was_obtained_/678428", "title"=>"Flow chart describing how the final sample was obtained.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-09 02:20:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/1019298"], "description"=>"*<p>Values are expressed as medians (range:IQR) or proportions (%) where appropriate. Abbreviations: GA  =  General Anaesthesia; ICISS  =  ICD-derived Injury Severity Score; LOS  =  Length of Hospital Stay. <sup>1</sup>Excluded due to coding errors; <sup>2</sup>Excluded because patients where either transferred or died before discharge <sup>3</sup>Defined as ICISS<0.90; <sup>4</sup>Defined as major surgery (such as brain or spine, thoracic, abdominal, neck, vascular, debridement under GA, or critical orthopaedic surgery) or blood transfusion; <sup>5</sup>According to either serious injury or resource use definition.</p>", "links"=>[], "tags"=>["statistics", "Biostatistics", "Clinical research design", "Retrospective studies", "Critical care and emergency medicine", "Global health", "Non-clinical medicine", "Health care policy", "Health statistics", "surgery", "General surgery", "Orthopedic surgery", "Trauma surgery", "tabulation", "included", "excluded"], "article_id"=>678429, "categories"=>["Mathematics", "Medicine"], "users"=>["Lu-Ping Zhao", "Martin Gerdin", "Lina Westman", "Jose Manuel Rodriguez-Llanes", "Qi Wu", "Barbara van den Oever", "Liang Pan", "Manuel Albela", "Gao Chen", "De-Sheng Zhang", "Debarati Guha-Sapir", "Johan von Schreeb"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061371.t002", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cross_tabulation_of_demographic_characteristics_of_included_and_excluded_patients_/678429", "title"=>"Cross tabulation of demographic characteristics of included and excluded patients.<sup>*</sup>", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-09 02:20:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/1019300"], "description"=>"*<p>Data is reported as AUC (95% CI); **Adequate or higher discriminatory accuracy. Abbreviations: AUC  =  Area under the curve; COS  =  Critical Orthopaedic Surgery; DGA  =  Debridement under General Anaesthesia; ICISS  =  ICD-derived Injury Severity Score; ROC  =  Receiver operating characteristics. <sup>1</sup>According to either serious injury or resource use definition; <sup>2</sup>Defined as major surgery (such as brain or spine, thoracic, abdominal, neck, vascular, debridement under general anaesthesia, or critical orthopaedic surgery) or blood transfusion; <sup>3</sup>Defined as ICISS<0.90.</p>", "links"=>[], "tags"=>["statistics", "Biostatistics", "Clinical research design", "Retrospective studies", "Critical care and emergency medicine", "Global health", "Non-clinical medicine", "Health care policy", "Health statistics", "surgery", "General surgery", "Orthopedic surgery", "Trauma surgery", "measures", "stratified", "roc", "los", "patients"], "article_id"=>678431, "categories"=>["Mathematics", "Medicine"], "users"=>["Lu-Ping Zhao", "Martin Gerdin", "Lina Westman", "Jose Manuel Rodriguez-Llanes", "Qi Wu", "Barbara van den Oever", "Liang Pan", "Manuel Albela", "Gao Chen", "De-Sheng Zhang", "Debarati Guha-Sapir", "Johan von Schreeb"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061371.t003", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Accuracy_measures_for_stratified_ROC_analyses_using_LOS_to_identify_patients_with_resource_use_/678431", "title"=>"Accuracy measures for stratified ROC analyses, using LOS to identify patients with resource use.<sup>*</sup>", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-09 02:20:31"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}

Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Medicine and health sciences", "average_usage"=>[264, 460, 584, 692, 794, 887, 978, 1067, 1154, 1241, 1328, 1408, 1474]}, {"subject_area"=>"/Medicine and health sciences/Anesthesiology", "average_usage"=>[180, 350, 471, 550, 617, 683, 773, 872, 926, 975, 1053, 1167, 1248, 1310]}, {"subject_area"=>"/Medicine and health sciences/Hematology", "average_usage"=>[238, 424, 545, 650, 749, 839, 926, 1006, 1090, 1167, 1243, 1316, 1380]}, {"subject_area"=>"/Medicine and health sciences/Neurology", "average_usage"=>[271, 485, 617, 733, 835, 933, 1026, 1115, 1207, 1294, 1386, 1475, 1543]}, {"subject_area"=>"/Medicine and health sciences/Pharmaceutics", "average_usage"=>[254, 457, 591, 700, 808, 906, 1001, 1093, 1185, 1276, 1373, 1457, 1535]}]}
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