{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T23:08:14Z","timestamp":1787785694096,"version":"build-2784847793"},"reference-count":36,"publisher":"Walter de Gruyter GmbH","issue":"3","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"j_jccm-2022-0013_s_006\">\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>The aim of this study was to evaluate whether systemic immune-inflammation index (SII) could predict mortality in patients with novel coronavirus 2019 (COVID-19) disease.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jccm-2022-0013_s_007\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This two-center, retrospective study included a total of 191 patients with confirmed diagnosis of COVID-19 via nucleic acid test (NAT). The SII was calculated based on the complete blood parameters (neutrophil \u00d7 platelet\/lymphocyte) during hospitalization. The relationship between the SII and other inflammatory markers and mortality was investigated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jccm-2022-0013_s_008\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The mortality rate was 18.3%. The mean age was 54.32\u00b117.95 years. The most common symptoms were fever (70.7%) and dry cough (61.3%), while 8 patients (4.2%) were asymptomatic. The most common comorbidities were hypertension (37.7%), diabetes (23.0%), chronic renal failure (14.7%), and heart failure (7.9%) which all significantly increased the mortality rate (p&lt;0.001). There was a highly positive correlation between the SII and polymorphonuclear leukocyte (PNL), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) (r=0.754, p&lt;0.001; r=0.812, p&lt;0.001; r=0.841, p&lt;0.001, respectively), while a moderate, positive correlation was found between the SII and C-reactive protein (CRP) (r=0.439, p&lt;0.001). There was a significant correlation between the SII and mortality (U=1,357, p&lt;0.001). The cut-off value of SII was 618.8 (area under the curve=0.751, p&lt;0.001) with 80.0% sensitivity and 61.5% specificity. A cut-off value of &gt;618.8 was associated with a 4.68-fold higher mortality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jccm-2022-0013_s_009\">\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Similar to NLR and PLR, the SII is a proinflammatory marker of systemic inflammation and can be effectively used in independent predicting COVID-19 mortality.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2478\/jccm-2022-0013","type":"journal-article","created":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T01:13:38Z","timestamp":1661130818000},"page":"156-164","source":"Crossref","is-referenced-by-count":33,"title":["Predictive Value of Systemic Immune-inflammation Index in Determining Mortality in COVID-19 Patients"],"prefix":"10.2478","volume":"8","author":[{"given":"Tahsin","family":"Karaaslan","sequence":"first","affiliation":[{"name":"Medeniyet University G\u00f6ztepe Training and Research Hospital , Istanbul , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Esra","family":"Karaaslan","sequence":"additional","affiliation":[{"name":"Istanbul Medipol University , Istanbul , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2022,8,12]]},"reference":[{"key":"2024042807194987141_j_jccm-2022-0013_ref_001","doi-asserted-by":"crossref","unstructured":"Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. 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