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This retrospective study assesses whether perfusion index (PI), obtained through a simple and practical method, can predict 30-day mortality in cancer patients and support triage decisions. Data include admission clinical and laboratory variables plus PI, with Emergency Severity Index (ESI) and qSOFA computed and mortality analyzed using multivariate logistic regression.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/the-role-of-perfusion-index-in-the-evaluation-of-patients-with-cancer/451778/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/the-role-of-perfusion-index-in-the-evaluation-of-patients-with-cancer/451778.png","ImageObject",300,407,{"name":92,"@type":93},"Mimi","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-09","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What was the goal of this study in evaluating cancer patients in the emergency department?","Question",{"text":113,"@type":114},"To assess the predictive value and clinical usefulness of the perfusion index (PI) for triage and prediction of 30-day mortality in cancer patients.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How were patients and key variables selected for analysis?",{"text":118,"@type":114},"Patients with a history of malignancy arriving by ambulance between Jan 1, 2019 and Dec 31, 2022 were extracted from the hospital database. Admission clinical and laboratory parameters, PI, and triage scores (ESI and qSOFA) were recorded.",{"name":120,"@type":111,"acceptedAnswer":121},"Did the perfusion index (PI) significantly predict 30-day mortality?",{"text":122,"@type":114},"No. Logistic regression showed PI did not contribute to predicting mortality (p = 0.640), while higher-risk ESI levels and qSOFA above 2 were associated with mortality prediction.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},451778,1791001969,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":34,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},2336477974920,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Ulger etal. BMC Emergency Medicine (2026) 26:5  \n[https://doi.org/10.1186/s12873-025-01422-6](https://doi.org/10.1186/s12873-025-01422-6)  \nBMC Emergency Medicine  \nRESEARCH Open Access  \nThe role of perfusion index in the evaluation of patients with cancer  \nHuseyin Ulger 1, Yeliz Simsek 1* and Akkan Avci 1  \nAbstract  \nBackground Cancer patients frequently present to the emergency department (ED) with a wide range of acute conditions. Rapid and accurate triage can significantly improve clinical outcomes. This study aimed to evaluate the predictive value and clinical usefulness of the perfusion index (PI), measured using a simple and easily applicable method, for triage and prediction of 30-day mortality in cancer patients.  \nMethod This study was retrospective design. Patients who had a history of malignancy and were brought to the ED by ambulance service between January 01, 2019 and December 31, 2022 were scanned from the hospital database. The patient’s clinical, laboratory parameters, and PI at the time of admission were recorded. The patients’ Emergency Severity Index (ESI) and quick Sequential Organ Failure Assessment (qSOFA) values were calculated. The of all patients Patients’ 30-day mortality were recorded. The multivariate logistic regression test was used to examine the factors affecting mortality. A p value \u003C 0.05 was considered statistically significant.  \nResults A total of 208 patients were included in the study. The 30-day mortality rate was 37%(77) . In the logistic regression analysis, it was found that the patients in ESI-1,2 had a 6. 26-fold (OR: 6 . 258) mortality (p \u003C 0. 001), while we found that PI did not contribute to predicting mortality (p = 0 . 640) . qSOFA value above 2 was found to be superior in predicting mortality with 74. 3% AUC, 54 . 55% sensitivity, 87 . 79% specificity (p \u003C 0. 001) .  \nConclusion The PI was less significant than the high-risk ESI and qSOFA scores for predicting 30-day mortality. Clinical trial number Not applicable.  \nKeywords Perfusion index, Mortality, Cancer  \nIntroduction  \nCancer remains one of the leading causes of death worldwide [1]. With the development of new treatment strategies, the life expectancy of cancer patients has increased, resulting in a higher number of visits to the emergency department (ED). Malignancy, independent of vital signs, significantly affects patient prognosis [2]. Therefore,  \n*Correspondence: Yeliz Simsek [ylzberk@yahoo.com](ylzberk@yahoo.com)  \n1Emergency Department, Adana City Research and Training Hospital, Health Science University, Adana, Turkey  \npatients with cancer constitute a special patient group in the field of triage. Using the most accurate triage system is essential to ensure appropriate follow-up and treatment. The primary purpose of triage is to assess disease severity, estimate mortality risk, and determine the need for intensive care. Accurate triage thus provides clinicians with important clues regarding potential complications and the likelihood of death.  \nSeveral triage scoring systems are currently used in the ED to evaluate disease severity [3]. The Emergency Severity Index (ESI) classifies and prioritizes patients into five levels according to the severity of their condition, with level 1 representing the most critical patients requiring  \n© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwi","cbCaieRTccUCH5xh","https://ap.wps.com/l/cbCaieRTccUCH5xh","pdf",1208722,"English","# Abstract\n# Introduction\n# Methods\n# Results\n# Conclusion","[{\"question\":\"What was the goal of this study in evaluating cancer patients in the emergency department?\",\"answer\":\"To assess the predictive value and clinical usefulness of the perfusion index (PI) for triage and prediction of 30-day mortality in cancer patients.\"},{\"question\":\"How were patients and key variables selected for analysis?\",\"answer\":\"Patients with a history of malignancy arriving by ambulance between Jan 1, 2019 and Dec 31, 2022 were extracted from the hospital database. Admission clinical and laboratory parameters, PI, and triage scores (ESI and qSOFA) were recorded.\"},{\"question\":\"Did the perfusion index (PI) significantly predict 30-day mortality?\",\"answer\":\"No. Logistic regression showed PI did not contribute to predicting mortality (p = 0.640), while higher-risk ESI levels and qSOFA above 2 were associated with mortality prediction.\"}]","The role of perfusion index in the evaluation of patients with cancer | PDF",1790735910,18]