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Systemic immune-inflammation index predicts mortality in infective endocarditis
OBJECTIVES: The aim of our study was to evaluate the usefulness of systemic immune-inflammation index (SII) at admission in predicting in-hospital mortality in patients with infective endocarditis. METHODS: 133 definite IE patients (≥18 years) according to modified Duke criteria, treated in our tert...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Saudi Heart Association
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7640593/ https://www.ncbi.nlm.nih.gov/pubmed/33154893 http://dx.doi.org/10.37616/2212-5043.1010 |
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author | Agus, Hicaz Zencirkiran Kahraman, Serkan Arslan, Cagdas Yildirim, Ceren Erturk, Mehmet Kalkan, Ali Kemal Yildiz, Mustafa |
author_facet | Agus, Hicaz Zencirkiran Kahraman, Serkan Arslan, Cagdas Yildirim, Ceren Erturk, Mehmet Kalkan, Ali Kemal Yildiz, Mustafa |
author_sort | Agus, Hicaz Zencirkiran |
collection | PubMed |
description | OBJECTIVES: The aim of our study was to evaluate the usefulness of systemic immune-inflammation index (SII) at admission in predicting in-hospital mortality in patients with infective endocarditis. METHODS: 133 definite IE patients (≥18 years) according to modified Duke criteria, treated in our tertiary care hospital between December 2009 and May 2019, were retrospectively analysed. Symptoms, comorbidities, predisposing valvular diseases, prosthetic valve, device, history of injectable drug use, blood culture results, echocardiography findings, and complications were collected. We calculated the SII as follows: SII = platelet count × neutrophil count/lymphocyte count at admission. RESULTS: The median age of the patients was 56 (40–66) years. Prosthetic valve disease was the most frequent predisposing valve lesion. Staphylococcus species were the most common microorganisms. The most frequent complication was in-hospital mortality (22%) followed by renal failure. Older population, syncope, increased inflammatory markers, high systolic pulmonary artery pressure (PAPs), heart failure, renal failure, and septic shock were associated with high mortality. However age, syncope, hypocalcemia, not going to surgery, and SII were independent predictors of in-hospital mortality. According to receiver operating characteristic curve analysis, the optimal SII cut-off value for predicting mortality was 2314 (area under the curve 0.641; P = 0.019). CONCLUSION: We demonstrated that high SII levels are independently associated with in-hospital mortality. The SII may be a promising prognostic predictor for patients with infective endocarditis. |
format | Online Article Text |
id | pubmed-7640593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Saudi Heart Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-76405932020-11-04 Systemic immune-inflammation index predicts mortality in infective endocarditis Agus, Hicaz Zencirkiran Kahraman, Serkan Arslan, Cagdas Yildirim, Ceren Erturk, Mehmet Kalkan, Ali Kemal Yildiz, Mustafa J Saudi Heart Assoc Original Article OBJECTIVES: The aim of our study was to evaluate the usefulness of systemic immune-inflammation index (SII) at admission in predicting in-hospital mortality in patients with infective endocarditis. METHODS: 133 definite IE patients (≥18 years) according to modified Duke criteria, treated in our tertiary care hospital between December 2009 and May 2019, were retrospectively analysed. Symptoms, comorbidities, predisposing valvular diseases, prosthetic valve, device, history of injectable drug use, blood culture results, echocardiography findings, and complications were collected. We calculated the SII as follows: SII = platelet count × neutrophil count/lymphocyte count at admission. RESULTS: The median age of the patients was 56 (40–66) years. Prosthetic valve disease was the most frequent predisposing valve lesion. Staphylococcus species were the most common microorganisms. The most frequent complication was in-hospital mortality (22%) followed by renal failure. Older population, syncope, increased inflammatory markers, high systolic pulmonary artery pressure (PAPs), heart failure, renal failure, and septic shock were associated with high mortality. However age, syncope, hypocalcemia, not going to surgery, and SII were independent predictors of in-hospital mortality. According to receiver operating characteristic curve analysis, the optimal SII cut-off value for predicting mortality was 2314 (area under the curve 0.641; P = 0.019). CONCLUSION: We demonstrated that high SII levels are independently associated with in-hospital mortality. The SII may be a promising prognostic predictor for patients with infective endocarditis. Saudi Heart Association 2020-04-17 /pmc/articles/PMC7640593/ /pubmed/33154893 http://dx.doi.org/10.37616/2212-5043.1010 Text en © 2020 Saudi Heart Association This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Agus, Hicaz Zencirkiran Kahraman, Serkan Arslan, Cagdas Yildirim, Ceren Erturk, Mehmet Kalkan, Ali Kemal Yildiz, Mustafa Systemic immune-inflammation index predicts mortality in infective endocarditis |
title | Systemic immune-inflammation index predicts mortality in infective endocarditis |
title_full | Systemic immune-inflammation index predicts mortality in infective endocarditis |
title_fullStr | Systemic immune-inflammation index predicts mortality in infective endocarditis |
title_full_unstemmed | Systemic immune-inflammation index predicts mortality in infective endocarditis |
title_short | Systemic immune-inflammation index predicts mortality in infective endocarditis |
title_sort | systemic immune-inflammation index predicts mortality in infective endocarditis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7640593/ https://www.ncbi.nlm.nih.gov/pubmed/33154893 http://dx.doi.org/10.37616/2212-5043.1010 |
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