Non-diabetic elderly populations: SIRI as a risk factor and PIV as a protective factor against bone abnormalities
ObjectiveThe prevalence of osteoporosis and its resultant healthcare challenges are escalating, posing significant burdens on public health systems. Studies have introduced immunoinflammatory indices, which are recognized for effectively reflecting the systemic immunoinflammatory status. Despite the...
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Frontiers Media S.A.
2024-11-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2024.1467683/full |
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| author | Manli Yan Ping Gong Xiang Li Haoyue Huang Hua Wei Hua Wei |
| author_facet | Manli Yan Ping Gong Xiang Li Haoyue Huang Hua Wei Hua Wei |
| author_sort | Manli Yan |
| collection | DOAJ |
| description | ObjectiveThe prevalence of osteoporosis and its resultant healthcare challenges are escalating, posing significant burdens on public health systems. Studies have introduced immunoinflammatory indices, which are recognized for effectively reflecting the systemic immunoinflammatory status. Despite their potential, the exploration of these indices in the context of osteoporosis remains limited. The study sought to explore the relationship between immune inflammation-related indices and osteoporosis in non-diabetic elderly populations.MethodsThe clinical data of 438 non-diabetic elderly subjects were retrospectively analyzed and all statistical analyses were performed using SPSS 27.0.ResultsDifferences were observed between the osteoporosis group and the normal bone density group in terms of age, neutrophil, lymphocyte, monocyte, hemoglobin, and platelet. A review of prior studies revealed a close association between osteoporosis and chronic inflammation. Immunological indices such as Platelet to Lymphocyte Ratio (PLR), Neutrophil to Lymphocyte Ratio (NLR), Monocyte to Lymphocyte Ratio (MLR), Systemic Immuno-Inflammatory Index (SII), Systemic Inflammatory Response Index (SIRI) and Peripheral Immunity Index (PIV) were calculated. The analysis indicated significant differences in MLR, SII, SIRI and PIV. A multifactorial binary logistic regression model was established, incorporating age, MLR, SII, SIRI, and PIV as variables. The results identified age and SIRI as independent risk factors for bone abnormalities in non-diabetic elderly populations, while PIV served as an independent protective factor. Receiver operating characteristic analysis demonstrated that SIRI and PIV predicted osteoporosis with areas under the curve (AUC) of 0.609 and 0.620, respectively. The diagnostic value was enhanced when combined with age, yielding AUC values of 0.725 for PIV combined with age. PIV combined with age was particularly effective as a biomarker for bone abnormalities in this population. The optimal Youden’s index was calculated to be 0.367, corresponding to a sensitivity of 63.8% and a specificity of 72.9%.ConclusionsFor non-diabetic elderly populations, SIRI is a risk factor, while PIV serves as a protective factor against bone abnormalities. Combined with previous studies, we suggest that people at high risk of osteoporosis should avoid or minimize the intake of pro-inflammatory dietary patterns. Meanwhile, research from an immune perspective is expected to open new avenues for osteoporosis treatment. |
| format | Article |
| id | doaj-art-8feec0b38cd64e85a7f6f0febe2b97d4 |
| institution | Kabale University |
| issn | 1664-2392 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Endocrinology |
| spelling | doaj-art-8feec0b38cd64e85a7f6f0febe2b97d42024-11-14T04:49:07ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922024-11-011510.3389/fendo.2024.14676831467683Non-diabetic elderly populations: SIRI as a risk factor and PIV as a protective factor against bone abnormalitiesManli Yan0Ping Gong1Xiang Li2Haoyue Huang3Hua Wei4Hua Wei5Second Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, ChinaSecond Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, ChinaDepartment of Orthopedic, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, ChinaDepartment of Endocrinology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, ChinaDepartment of Endocrinology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, ChinaState Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaObjectiveThe prevalence of osteoporosis and its resultant healthcare challenges are escalating, posing significant burdens on public health systems. Studies have introduced immunoinflammatory indices, which are recognized for effectively reflecting the systemic immunoinflammatory status. Despite their potential, the exploration of these indices in the context of osteoporosis remains limited. The study sought to explore the relationship between immune inflammation-related indices and osteoporosis in non-diabetic elderly populations.MethodsThe clinical data of 438 non-diabetic elderly subjects were retrospectively analyzed and all statistical analyses were performed using SPSS 27.0.ResultsDifferences were observed between the osteoporosis group and the normal bone density group in terms of age, neutrophil, lymphocyte, monocyte, hemoglobin, and platelet. A review of prior studies revealed a close association between osteoporosis and chronic inflammation. Immunological indices such as Platelet to Lymphocyte Ratio (PLR), Neutrophil to Lymphocyte Ratio (NLR), Monocyte to Lymphocyte Ratio (MLR), Systemic Immuno-Inflammatory Index (SII), Systemic Inflammatory Response Index (SIRI) and Peripheral Immunity Index (PIV) were calculated. The analysis indicated significant differences in MLR, SII, SIRI and PIV. A multifactorial binary logistic regression model was established, incorporating age, MLR, SII, SIRI, and PIV as variables. The results identified age and SIRI as independent risk factors for bone abnormalities in non-diabetic elderly populations, while PIV served as an independent protective factor. Receiver operating characteristic analysis demonstrated that SIRI and PIV predicted osteoporosis with areas under the curve (AUC) of 0.609 and 0.620, respectively. The diagnostic value was enhanced when combined with age, yielding AUC values of 0.725 for PIV combined with age. PIV combined with age was particularly effective as a biomarker for bone abnormalities in this population. The optimal Youden’s index was calculated to be 0.367, corresponding to a sensitivity of 63.8% and a specificity of 72.9%.ConclusionsFor non-diabetic elderly populations, SIRI is a risk factor, while PIV serves as a protective factor against bone abnormalities. Combined with previous studies, we suggest that people at high risk of osteoporosis should avoid or minimize the intake of pro-inflammatory dietary patterns. Meanwhile, research from an immune perspective is expected to open new avenues for osteoporosis treatment.https://www.frontiersin.org/articles/10.3389/fendo.2024.1467683/fullosteoporosiselderly populationsnon-diabetic populationsSIRIPIV |
| spellingShingle | Manli Yan Ping Gong Xiang Li Haoyue Huang Hua Wei Hua Wei Non-diabetic elderly populations: SIRI as a risk factor and PIV as a protective factor against bone abnormalities Frontiers in Endocrinology osteoporosis elderly populations non-diabetic populations SIRI PIV |
| title | Non-diabetic elderly populations: SIRI as a risk factor and PIV as a protective factor against bone abnormalities |
| title_full | Non-diabetic elderly populations: SIRI as a risk factor and PIV as a protective factor against bone abnormalities |
| title_fullStr | Non-diabetic elderly populations: SIRI as a risk factor and PIV as a protective factor against bone abnormalities |
| title_full_unstemmed | Non-diabetic elderly populations: SIRI as a risk factor and PIV as a protective factor against bone abnormalities |
| title_short | Non-diabetic elderly populations: SIRI as a risk factor and PIV as a protective factor against bone abnormalities |
| title_sort | non diabetic elderly populations siri as a risk factor and piv as a protective factor against bone abnormalities |
| topic | osteoporosis elderly populations non-diabetic populations SIRI PIV |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2024.1467683/full |
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