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The combination of scoring systems and lactate for predicting short-term mortality in geriatric patients with dyspnea

dc.contributor.authorArdıç, Anıl
dc.contributor.authorKöksal, Özlem
dc.contributor.authorDurak, Vahide Aslıhan
dc.contributor.authorDilektaşlı, Aslı Görek
dc.contributor.authorÖzkaya, Güven
dc.contributor.buuauthorKÖKSAL, ÖZLEM
dc.contributor.buuauthorDURAK, VAHİDE ASLIHAN
dc.contributor.buuauthorGÖREK DİLEKTAŞLI, ASLI
dc.contributor.buuauthorÖZKAYA, GÜVEN
dc.contributor.departmentTıp Fakültesi
dc.contributor.departmentAcil Tıp Ana Bilim Dalı
dc.contributor.orcid0000-0003-0836-7862
dc.contributor.orcid0000-0003-0297-846X
dc.contributor.orcid0000-0003-2271-5659
dc.contributor.researcheridAAK-8332-2020
dc.contributor.researcheridAAE-9483-2021
dc.contributor.researcheridCNP-1063-2022
dc.contributor.researcheridIVU-2672-2023
dc.date.accessioned2024-06-03T05:24:40Z
dc.date.available2024-06-03T05:24:40Z
dc.date.issued2023-06-19
dc.description.abstractBackgroundDyspnea is one of the most common causes for admission to the emergency department. Lactate (L), which can be used as a prognostic marker, was first studied by Broder and Weil and it was shown that a level > 4 mmol/l is associated with a poor prognosis. There are also scoring systems to assess the severity of illness of patients presenting to the emergency department such as the National Early Warning Score (NEWS), Modified Early Warning Score (MEWS), Rapid Emergency Medicine Score (REMS) and VitalPAC Early Warning Score (ViEWS).ObjectivesIn this study, we aimed to investigate the combination of risk scoring systems and lactate in predicting short-term mortality in patients over 65 years of age with the complaint of nontraumatic dyspnea.Materials and methodsThe population of the study consisted of adult patients aged 65 and over who presented to Bursa Uludag University Medical Faculty Emergency Department with dyspnea. Admission NEWS, MEWS, REMS, ViEWS scores and their combined forms with added lactate levels at first admission, and 7-, 14-, and 28-day survival were recorded.ResultsWe found that the modified composite scores with lactate value, and the NEWS, MEWS, REMS, and ViEWS scores could predict the 28-day mortality. Ranking the scores and lactate value predicting 28-day mortality according to the area under the curve (AUC) value revealed that the 28-day mortality was best predicted by the NEWS + lactate with 64.97% sensitivity and 77.53% specificity (p < 0.001). We have shown that increasing lactate levels, NEWS, MEWS, REMS, ViEWS scores and their modified composite scores with lactate above suggested thresholds are independent risk factors for increased mortality in multivariable Cox regression analysis.ConclusionsIn cases with dyspnea, lactate value, NEWS, MEWS, REMS, ViEWS, NEWS-L MEWS-L, REMS-L, and ViEWS-L scores can be used to predict early mortality. Risk scores modified with lactate value were found to be more successful in predicting 28-day mortality.
dc.identifier.doi10.1007/s10049-023-01165-6
dc.identifier.eissn1436-0578
dc.identifier.issn1434-6222
dc.identifier.urihttps://doi.org/10.1007/s10049-023-01165-6
dc.identifier.urihttps://link.springer.com/article/10.1007/s10049-023-01165-6
dc.identifier.urihttps://hdl.handle.net/11452/41640
dc.identifier.wos001010653800001
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherSpringer
dc.relation.journalNotfall & Rettungsmedizin
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEarly warning score
dc.subjectEmergency-medicine score
dc.subjectViews-l
dc.subjectValidation
dc.subjectLevel
dc.subjectClinical scoring systems
dc.subjectDyspnea
dc.subjectLactate
dc.subjectMortality
dc.subjectNews-l
dc.subjectScience & technology
dc.subjectLife sciences & biomedicine
dc.subjectEmergency medicine
dc.titleThe combination of scoring systems and lactate for predicting short-term mortality in geriatric patients with dyspnea
dc.typeArticle
dc.typeEarly Access
dspace.entity.typePublication
local.contributor.departmentTıp Fakültesi/Acil Tıp Ana Bilim Dalı
local.contributor.departmentTıp Fakültesi/Göğüs Hastalıkları Ana Bilim Dalı
local.contributor.departmentTıp Fakültesi/Biyoistatistik Ana Bilim Dalı
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relation.isAuthorOfPublicationfef584c2-9e17-4aaf-a681-04eda6a3ea30
relation.isAuthorOfPublicationa71bfd48-897b-4983-87e7-11edc5ed438a
relation.isAuthorOfPublication648e85b9-2f4f-4f92-a2d7-794286abd0fd
relation.isAuthorOfPublication.latestForDiscovery58463f06-ea27-4d35-ab5d-0d5571594372

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