{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T23:28:38Z","timestamp":1790378918406,"version":"4.1.0"},"reference-count":28,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,8,19]],"date-time":"2019-08-19T00:00:00Z","timestamp":1566172800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2019,8,19]],"date-time":"2019-08-19T00:00:00Z","timestamp":1566172800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Laboratory Analysis"],"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Postmenopausal osteoporosis (PMOP) is a bone metabolism disorder involving systematic inflammation activation. Blood routine examination is easily available in clinical practice and contains abundant information reflecting the systematic inflammation level. Thus, it is attractive to achieve early diagnosis of PMOP and predict osteoporotic fracture risk just based on the biomarkers in blood routine examination.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A multi\u2010centric prospective cohort study was designed and enrolled postmenopausal women from two independent institutions. All participants underwent the dual\u2010energy X\u2010ray absorptiometry (DEXA) scanning for diagnosing PMOP. Blood routine examination was conducted, and the key inflammatory biomarkers such as neutrophil\u2010to\u2010lymphocyte ratio (NLR) and systemic immune\u2010inflammation index (SII) were calculated. PMOP patients were followed up to observe osteoporotic fracture and identify the related risk predictors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 92 participants out of 238 enrolled postmenopausal women were diagnosed with PMOP, with a prevalence of 38.66%. The main risk factors identified for PMOP included older age (OR\u00a0=\u00a02.06, 95% CI\u00a0=\u00a01.14\u20103.72), longer menopause duration (OR\u00a0=\u00a03.14, 95% CI\u00a0=\u00a02.06\u20104.79), higher NLR (OR\u00a0=\u00a02.11, 95% CI\u00a0=\u00a01.37\u20103.25), and higher SII (OR\u00a0=\u00a03.02, 95% CI\u00a0=\u00a01.98\u20104.61). Besides age and menopause duration, SII \u2265834.89 was newly identified as a prominent risk factor for discriminating osteoporotic fracture risk in PMOP patients (HR\u00a0=\u00a03.66, 95% CI\u00a0=\u00a01.249\u201010.71).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>As an easy and economical biomarker calculated from blood routine examination, SII not only acts as a good risk predictor for PMOP diagnosis but also well discriminates the osteoporotic fracture risk, which deserves further investigation and application in clinical practice.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcla.23016","type":"journal-article","created":{"date-parts":[[2019,8,19]],"date-time":"2019-08-19T04:19:28Z","timestamp":1566188368000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":98,"title":["Systemic immune\u2010inflammation index acts as a novel diagnostic biomarker for postmenopausal osteoporosis and could predict the risk of osteoporotic fracture"],"prefix":"10.1002","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4975-2783","authenticated-orcid":false,"given":"Hong","family":"Fang","sequence":"first","affiliation":[{"name":"Department of Gynecology Hubei Provincial Hospital of Traditional Chinese Medicine Wuhan Hubei China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanqing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Osteology Wuhan Hospital of Traditional Chinese Medicine Wuhan Hubei China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Osteology Wuhan Hospital of Traditional Chinese Medicine Wuhan Hubei 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