The predictive ability of Controlling Nutritional Status score on in-hospital mortality in patients admitted to coronary care unit

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dc.authoridTanboga, Ibrahim Halil/0000-0003-4546-9227
dc.contributor.authorNurkoc, Serdar Gokhan
dc.contributor.authorAtan, Seyhmus
dc.contributor.authorAdali, Mehmet Koray
dc.contributor.authorDemir, Mevlut
dc.contributor.authorYavuz, Yunus Emre
dc.contributor.authorAcar, Burak
dc.contributor.authorAltinsoy, Meltem
dc.date.accessioned2024-12-24T19:30:19Z
dc.date.available2024-12-24T19:30:19Z
dc.date.issued2024
dc.departmentSiirt Üniversitesi
dc.description.abstractOBJECTIVE: Controlling Nutritional Status score was previously described , has been used in predicting short- and long-term outcomes in different patient populations. The aim of this study was to test the relationship between Controlling Nutritional Status score and in-hospital mortality in coronary care unit patients (MORCOR-TURK population). METHODS: In this multicenter and national study, all patients with an available Controlling Nutritional Status score were included in the analysis. The Controlling Nutritional Status score was calculated according to previously described criteria. To be able to understand the significance of the Controlling Nutritional Status score, we constructed two models. Model 1 included age, heart failure, chronic kidney disease, hypertension, diabetes mellitus , coronary artery disease history. Model 2 included the Controlling Nutritional Status score and Model 1. We then statistically compared the performances of the two models. RESULTS: A total of 1,018 patients with known Controlling Nutritional Status scores were included in the analysis. Demographic characteristics are shown. In Model 1, the-2 log-likelihood ratio was 395.995, Nagelkerke R2 was 0.133, and area under the curve was 0.739 (95%CI 0.67-0.81). In the second model to which the Controlling Nutritional Status score is added (Model 2), the-2 log-likelihood ratio was 373.743, Nagelkerke R2 was 0.191, and area under the curve was 0.787 (95%CI 0.72-0.85). The area under the curve value of Model 2 was statistically higher than Model 1 (DeLong p-value: 0.01). A statistically significant correlation was found between death and Controlling Nutritional Status score in Model 2 [OR 1.347 (1.193-1.521), p<0.001]. CONCLUSIONS: Our study showed that the Controlling Nutritional Status score may be a significant predictor of in-hospital mortality in coronary care unit patients.
dc.identifier.doi10.1590/1806-9282.20240958
dc.identifier.issn0104-4230
dc.identifier.issn1806-9282
dc.identifier.issue12
dc.identifier.pmid39630729
dc.identifier.scopus2-s2.0-85211505001
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1590/1806-9282.20240958
dc.identifier.urihttps://hdl.handle.net/20.500.12604/7485
dc.identifier.volume70
dc.identifier.wosWOS:001374356400001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherAssoc Medica Brasileira
dc.relation.ispartofRevista Da Associacao Medica Brasileira
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectCoronary care unit
dc.subjectIn-hospital mortality
dc.subjectNutrition
dc.titleThe predictive ability of Controlling Nutritional Status score on in-hospital mortality in patients admitted to coronary care unit
dc.typeArticle

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