Xingyu Jin, Ye Wang, Huazheng Wang, Lu Wang, Binglong Huan, Chao Liu
{"title":"相关研究:绝经后患者的骨密度和循环炎症标志物。","authors":"Xingyu Jin, Ye Wang, Huazheng Wang, Lu Wang, Binglong Huan, Chao Liu","doi":"10.1002/iid3.1365","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>This study aims to investigate the correlation between changes in bone mineral density (BMD) in postmenopausal women and circulating inflammatory markers.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This retrospective study focused on postmenopausal women admitted to the orthopedic department of Suzhou Benq Medical Center from June 2022 to December 2023, following predetermined inclusion and exclusion criteria. We retrospectively collected data on initial blood routine test results and bone density measurements for all study subjects upon admission, including parameters such as white blood cell count (WBC), C-reactive protein, interleukin-6 (IL-6), and procalcitonin (PCT). Additionally, the systemic immune-inflammation index (SII) was calculated using neutrophil count, lymphocyte count, and platelet count. Statistical analyses using SPSS and GraphPad software were performed to assess the correlation between bone density and inflammatory markers.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Patients were classified into three groups based on BMD results, including 60 individuals in the osteoporosis (OP) group, 127 individuals in the osteopenia group, and 37 individuals in the Normal group, respectively. Principal component analysis analysis suggested that WBC, SII, and postmenopausal OP (PMOP) held significant feature values. Correlation analysis indicated a correlation between WBC (<i>p</i> = 0.021), IL-6 (<i>p</i> = 0.044), SII (<i>p</i> = 0.034), and PMOP. One-way ANOVA analysis revealed significant differences in IL-6 (<i>p</i> = 0.0179), SII (<i>p</i> = 0.0210), and PCT (<i>p</i> = 0.0200) among the three groups. Finally, ROC curve analysis demonstrated that SII (area under the curve = 0.716) has predictive value for PMOP.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>This study identified a certain predictive value for PMOP through the assessment of inflammatory markers in peripheral blood using routine blood tests.</p>\n </section>\n </div>","PeriodicalId":13289,"journal":{"name":"Immunity, Inflammation and Disease","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11295089/pdf/","citationCount":"0","resultStr":"{\"title\":\"Correlation study: Bone density and circulating inflammatory markers in postmenopausal patients\",\"authors\":\"Xingyu Jin, Ye Wang, Huazheng Wang, Lu Wang, Binglong Huan, Chao Liu\",\"doi\":\"10.1002/iid3.1365\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>This study aims to investigate the correlation between changes in bone mineral density (BMD) in postmenopausal women and circulating inflammatory markers.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This retrospective study focused on postmenopausal women admitted to the orthopedic department of Suzhou Benq Medical Center from June 2022 to December 2023, following predetermined inclusion and exclusion criteria. We retrospectively collected data on initial blood routine test results and bone density measurements for all study subjects upon admission, including parameters such as white blood cell count (WBC), C-reactive protein, interleukin-6 (IL-6), and procalcitonin (PCT). Additionally, the systemic immune-inflammation index (SII) was calculated using neutrophil count, lymphocyte count, and platelet count. Statistical analyses using SPSS and GraphPad software were performed to assess the correlation between bone density and inflammatory markers.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Patients were classified into three groups based on BMD results, including 60 individuals in the osteoporosis (OP) group, 127 individuals in the osteopenia group, and 37 individuals in the Normal group, respectively. Principal component analysis analysis suggested that WBC, SII, and postmenopausal OP (PMOP) held significant feature values. Correlation analysis indicated a correlation between WBC (<i>p</i> = 0.021), IL-6 (<i>p</i> = 0.044), SII (<i>p</i> = 0.034), and PMOP. One-way ANOVA analysis revealed significant differences in IL-6 (<i>p</i> = 0.0179), SII (<i>p</i> = 0.0210), and PCT (<i>p</i> = 0.0200) among the three groups. 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Correlation study: Bone density and circulating inflammatory markers in postmenopausal patients
Objective
This study aims to investigate the correlation between changes in bone mineral density (BMD) in postmenopausal women and circulating inflammatory markers.
Methods
This retrospective study focused on postmenopausal women admitted to the orthopedic department of Suzhou Benq Medical Center from June 2022 to December 2023, following predetermined inclusion and exclusion criteria. We retrospectively collected data on initial blood routine test results and bone density measurements for all study subjects upon admission, including parameters such as white blood cell count (WBC), C-reactive protein, interleukin-6 (IL-6), and procalcitonin (PCT). Additionally, the systemic immune-inflammation index (SII) was calculated using neutrophil count, lymphocyte count, and platelet count. Statistical analyses using SPSS and GraphPad software were performed to assess the correlation between bone density and inflammatory markers.
Results
Patients were classified into three groups based on BMD results, including 60 individuals in the osteoporosis (OP) group, 127 individuals in the osteopenia group, and 37 individuals in the Normal group, respectively. Principal component analysis analysis suggested that WBC, SII, and postmenopausal OP (PMOP) held significant feature values. Correlation analysis indicated a correlation between WBC (p = 0.021), IL-6 (p = 0.044), SII (p = 0.034), and PMOP. One-way ANOVA analysis revealed significant differences in IL-6 (p = 0.0179), SII (p = 0.0210), and PCT (p = 0.0200) among the three groups. Finally, ROC curve analysis demonstrated that SII (area under the curve = 0.716) has predictive value for PMOP.
Conclusion
This study identified a certain predictive value for PMOP through the assessment of inflammatory markers in peripheral blood using routine blood tests.
期刊介绍:
Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including:
• cellular and molecular immunology
• clinical immunology
• allergy
• immunochemistry
• immunogenetics
• immune signalling
• immune development
• imaging
• mathematical modelling
• autoimmunity
• transplantation immunology
• cancer immunology