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Bone metabolism factors in predicting the risk of osteoporosis fracture in the elderly
Osteoporosis (OS) is a systemic bone disease characterized by low bone mass and bone microstructure damage. This study. According to the T value, 88 elderly fracture patients were grouped as the control group (without OS, 43 cases) and observation group (with T value
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| Published in: | BMC musculoskeletal disorders 2024-06, Vol.25 (1), p.442-8 |
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| container_title | BMC musculoskeletal disorders |
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| creator | Zhang, Jun Hu, Yi Cai, Weifan |
| description | Osteoporosis (OS) is a systemic bone disease characterized by low bone mass and bone microstructure damage. This study.
According to the T value, 88 elderly fracture patients were grouped as the control group (without OS, 43 cases) and observation group (with T value |
| doi_str_mv | 10.1186/s12891-024-07560-5 |
| format | article |
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According to the T value, 88 elderly fracture patients were grouped as the control group (without OS, 43 cases) and observation group (with T value <-2.5, which could be diagnosed as OS, 45 cases). The content of boney containing protein (BGP), total type 1 collagen amino terminal extender peptide (TPINP), β-Crosslaps (β-CTX), parathyroid hormone (PTH) and insulin-like growth factors-1 (IGF-1) was compared. Multivariate logistic regression was adopted to analyze the correlation between biochemical indexes and the occurrence of senile OS fracture and the related risk factors. The diagnostic value in the elderly was analyzed by receiver operating characteristic (ROC) curve.
The levels of BGP, TPINP, β-CTX, PTH and IGF-1 were elevated, and the level of IGF-1 was decreased in the observation group compared with the control group (P < 0.05). The elevated content of BGP, TPINP, β-CTX and PTH, and the decreased expression of IGF-1 were influencing factors for OS fractures in the elderly (P < 0.05). The sensitivity and specificity to predict the occurrence of OS fractures in the elderly were 91.70% and 90.50%, respectively. The AUC of combined detection was 0.976 (95% CI: 0.952-1.000), which was memorably higher than single indicator detection (P < 0.05). Among 45 patients, 32 cases had good prognosis and 13 had poor prognosis. In comparison with the good prognosis group, the content of BGP, TPINP, β-CTX and PTH were sensibly higher, the level of IGF-1 was prominently lower, and the proportion of fracture history was much higher in poor prognosis group (P < 0.05). Fracture history, BGP, TPINP, β-CTX, PTH and IGF-1 were independent risk factors for poor prognosis of elderly OS fractures (P < 0.05).
Bone metabolism factors were associated with poor prognosis of OS in the elderly. The combined detection had higher diagnostic value in calculating the risk of OS fracture in the elderly than single indicator detection.]]></description><identifier>ISSN: 1471-2474</identifier><identifier>EISSN: 1471-2474</identifier><identifier>DOI: 10.1186/s12891-024-07560-5</identifier><identifier>PMID: 38840246</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Aged ; Aged patients ; Aged, 80 and over ; Analysis ; Biochemical indicators of bone metabolism ; Biochemistry ; Biomarkers - blood ; Biotechnology ; Body mass index ; Bone density ; Bone diseases ; Bone mass ; Bone turnover ; Care and treatment ; Case-Control Studies ; Clinical medicine ; Collagen ; Collagen (type I) ; Collagen Type I - metabolism ; Diagnosis ; Early prognosis ; Female ; Fracture ; Fractures ; Gender ; Growth factors ; Health aspects ; Hip joint ; Humans ; Insulin-like growth factor I ; Insulin-Like Growth Factor I - analysis ; Insulin-Like Growth Factor I - metabolism ; Insulin-like growth factors ; Male ; Metabolism ; Middle Aged ; Mortality ; Older people ; Osteoporosis ; Osteoporosis - diagnosis ; Osteoporotic Fractures - diagnosis ; Osteoporotic Fractures - etiology ; Osteoporotic in the elderly ; Parathyroid hormone ; Parathyroid Hormone - blood ; Predictive Value of Tests ; Prognosis ; Regression analysis ; Risk Assessment ; Risk Factors ; Risk of occurrence ; ROC Curve ; Statistical analysis ; Weightlessness</subject><ispartof>BMC musculoskeletal disorders, 2024-06, Vol.25 (1), p.442-8</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11155048/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3066894114?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25751,27922,27923,37010,37011,44588,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38840246$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Jun</creatorcontrib><creatorcontrib>Hu, Yi</creatorcontrib><creatorcontrib>Cai, Weifan</creatorcontrib><title>Bone metabolism factors in predicting the risk of osteoporosis fracture in the elderly</title><title>BMC musculoskeletal disorders</title><addtitle>BMC Musculoskelet Disord</addtitle><description><![CDATA[Osteoporosis (OS) is a systemic bone disease characterized by low bone mass and bone microstructure damage. This study.
According to the T value, 88 elderly fracture patients were grouped as the control group (without OS, 43 cases) and observation group (with T value <-2.5, which could be diagnosed as OS, 45 cases). The content of boney containing protein (BGP), total type 1 collagen amino terminal extender peptide (TPINP), β-Crosslaps (β-CTX), parathyroid hormone (PTH) and insulin-like growth factors-1 (IGF-1) was compared. Multivariate logistic regression was adopted to analyze the correlation between biochemical indexes and the occurrence of senile OS fracture and the related risk factors. The diagnostic value in the elderly was analyzed by receiver operating characteristic (ROC) curve.
The levels of BGP, TPINP, β-CTX, PTH and IGF-1 were elevated, and the level of IGF-1 was decreased in the observation group compared with the control group (P < 0.05). The elevated content of BGP, TPINP, β-CTX and PTH, and the decreased expression of IGF-1 were influencing factors for OS fractures in the elderly (P < 0.05). The sensitivity and specificity to predict the occurrence of OS fractures in the elderly were 91.70% and 90.50%, respectively. The AUC of combined detection was 0.976 (95% CI: 0.952-1.000), which was memorably higher than single indicator detection (P < 0.05). Among 45 patients, 32 cases had good prognosis and 13 had poor prognosis. In comparison with the good prognosis group, the content of BGP, TPINP, β-CTX and PTH were sensibly higher, the level of IGF-1 was prominently lower, and the proportion of fracture history was much higher in poor prognosis group (P < 0.05). Fracture history, BGP, TPINP, β-CTX, PTH and IGF-1 were independent risk factors for poor prognosis of elderly OS fractures (P < 0.05).
Bone metabolism factors were associated with poor prognosis of OS in the elderly. The combined detection had higher diagnostic value in calculating the risk of OS fracture in the elderly than single indicator detection.]]></description><subject>Aged</subject><subject>Aged patients</subject><subject>Aged, 80 and over</subject><subject>Analysis</subject><subject>Biochemical indicators of bone metabolism</subject><subject>Biochemistry</subject><subject>Biomarkers - blood</subject><subject>Biotechnology</subject><subject>Body mass index</subject><subject>Bone density</subject><subject>Bone diseases</subject><subject>Bone mass</subject><subject>Bone turnover</subject><subject>Care and treatment</subject><subject>Case-Control Studies</subject><subject>Clinical medicine</subject><subject>Collagen</subject><subject>Collagen (type I)</subject><subject>Collagen Type I - metabolism</subject><subject>Diagnosis</subject><subject>Early prognosis</subject><subject>Female</subject><subject>Fracture</subject><subject>Fractures</subject><subject>Gender</subject><subject>Growth factors</subject><subject>Health aspects</subject><subject>Hip joint</subject><subject>Humans</subject><subject>Insulin-like growth factor I</subject><subject>Insulin-Like Growth Factor I - analysis</subject><subject>Insulin-Like Growth Factor I - metabolism</subject><subject>Insulin-like growth factors</subject><subject>Male</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Older people</subject><subject>Osteoporosis</subject><subject>Osteoporosis - diagnosis</subject><subject>Osteoporotic Fractures - diagnosis</subject><subject>Osteoporotic Fractures - etiology</subject><subject>Osteoporotic in the elderly</subject><subject>Parathyroid hormone</subject><subject>Parathyroid Hormone - blood</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Regression analysis</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Risk of occurrence</subject><subject>ROC Curve</subject><subject>Statistical analysis</subject><subject>Weightlessness</subject><issn>1471-2474</issn><issn>1471-2474</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkktv1DAQgCNERUvhD3BAkbhwSeuJ3yfUVjwqVeICXC3Hnmy9JPFiJ0j99zi0oN2q8sHW-PM3nrGr6g2QMwAlzjO0SkNDWtYQyQVp-LPqBJiEpmWSPd9bH1cvc94SAlJR_aI6pkqxckycVD8u44T1iLPt4hDyWPfWzTHlOkz1LqEPbg7Tpp5vsU4h_6xjX8c8Y9zFFHPIdZ8KvyRc-RXCwWMa7l5VR70dMr5-mE-r758-frv60tx8_Xx9dXHT-JJ_bjz0yvZWAIIXsmWdp550nGiUniIyK6XwYLXjFgjV2hMLnErSauZbjYyeVtf3Xh_t1uxSGG26M9EG8zcQ08bYNAc3oNFKOUoFIR1wpsFZwXjflb4x12mPrrg-3Lt2SzeidzjNyQ4H0sOdKdyaTfxtAIBzwlQxvH8wpPhrwTybMWSHw2AnjEs2lAjeSiroevF3j9BtXNJUerVSQmkGsEdtbKkgTH0sid0qNRdSC66UbqFQZ09QZXgcgyvv24cSPzjwdr_S_yX--xb0D0qmuN4</recordid><startdate>20240605</startdate><enddate>20240605</enddate><creator>Zhang, Jun</creator><creator>Hu, Yi</creator><creator>Cai, Weifan</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20240605</creationdate><title>Bone metabolism factors in predicting the risk of osteoporosis fracture in the elderly</title><author>Zhang, Jun ; Hu, Yi ; Cai, Weifan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d402t-d1f8afa61e1d6724bd3d0b509e7d3ee4a776d1a9c5a10399d0a15370294d29e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aged</topic><topic>Aged patients</topic><topic>Aged, 80 and over</topic><topic>Analysis</topic><topic>Biochemical indicators of bone metabolism</topic><topic>Biochemistry</topic><topic>Biomarkers - blood</topic><topic>Biotechnology</topic><topic>Body mass index</topic><topic>Bone density</topic><topic>Bone diseases</topic><topic>Bone mass</topic><topic>Bone turnover</topic><topic>Care and treatment</topic><topic>Case-Control Studies</topic><topic>Clinical medicine</topic><topic>Collagen</topic><topic>Collagen (type I)</topic><topic>Collagen Type I - metabolism</topic><topic>Diagnosis</topic><topic>Early prognosis</topic><topic>Female</topic><topic>Fracture</topic><topic>Fractures</topic><topic>Gender</topic><topic>Growth factors</topic><topic>Health aspects</topic><topic>Hip joint</topic><topic>Humans</topic><topic>Insulin-like growth factor I</topic><topic>Insulin-Like Growth Factor I - analysis</topic><topic>Insulin-Like Growth Factor I - metabolism</topic><topic>Insulin-like growth factors</topic><topic>Male</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Older people</topic><topic>Osteoporosis</topic><topic>Osteoporosis - diagnosis</topic><topic>Osteoporotic Fractures - diagnosis</topic><topic>Osteoporotic Fractures - etiology</topic><topic>Osteoporotic in the elderly</topic><topic>Parathyroid hormone</topic><topic>Parathyroid Hormone - blood</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Regression analysis</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Risk of occurrence</topic><topic>ROC Curve</topic><topic>Statistical analysis</topic><topic>Weightlessness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Jun</creatorcontrib><creatorcontrib>Hu, Yi</creatorcontrib><creatorcontrib>Cai, Weifan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>BMC musculoskeletal disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Jun</au><au>Hu, Yi</au><au>Cai, Weifan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bone metabolism factors in predicting the risk of osteoporosis fracture in the elderly</atitle><jtitle>BMC musculoskeletal disorders</jtitle><addtitle>BMC Musculoskelet Disord</addtitle><date>2024-06-05</date><risdate>2024</risdate><volume>25</volume><issue>1</issue><spage>442</spage><epage>8</epage><pages>442-8</pages><issn>1471-2474</issn><eissn>1471-2474</eissn><abstract><![CDATA[Osteoporosis (OS) is a systemic bone disease characterized by low bone mass and bone microstructure damage. This study.
According to the T value, 88 elderly fracture patients were grouped as the control group (without OS, 43 cases) and observation group (with T value <-2.5, which could be diagnosed as OS, 45 cases). The content of boney containing protein (BGP), total type 1 collagen amino terminal extender peptide (TPINP), β-Crosslaps (β-CTX), parathyroid hormone (PTH) and insulin-like growth factors-1 (IGF-1) was compared. Multivariate logistic regression was adopted to analyze the correlation between biochemical indexes and the occurrence of senile OS fracture and the related risk factors. The diagnostic value in the elderly was analyzed by receiver operating characteristic (ROC) curve.
The levels of BGP, TPINP, β-CTX, PTH and IGF-1 were elevated, and the level of IGF-1 was decreased in the observation group compared with the control group (P < 0.05). The elevated content of BGP, TPINP, β-CTX and PTH, and the decreased expression of IGF-1 were influencing factors for OS fractures in the elderly (P < 0.05). The sensitivity and specificity to predict the occurrence of OS fractures in the elderly were 91.70% and 90.50%, respectively. The AUC of combined detection was 0.976 (95% CI: 0.952-1.000), which was memorably higher than single indicator detection (P < 0.05). Among 45 patients, 32 cases had good prognosis and 13 had poor prognosis. In comparison with the good prognosis group, the content of BGP, TPINP, β-CTX and PTH were sensibly higher, the level of IGF-1 was prominently lower, and the proportion of fracture history was much higher in poor prognosis group (P < 0.05). Fracture history, BGP, TPINP, β-CTX, PTH and IGF-1 were independent risk factors for poor prognosis of elderly OS fractures (P < 0.05).
Bone metabolism factors were associated with poor prognosis of OS in the elderly. The combined detection had higher diagnostic value in calculating the risk of OS fracture in the elderly than single indicator detection.]]></abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>38840246</pmid><doi>10.1186/s12891-024-07560-5</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | BMC musculoskeletal disorders, 2024-06, Vol.25 (1), p.442-8 |
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| language | eng |
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| source | Publicly Available Content Database; PubMed Central |
| subjects | Aged Aged patients Aged, 80 and over Analysis Biochemical indicators of bone metabolism Biochemistry Biomarkers - blood Biotechnology Body mass index Bone density Bone diseases Bone mass Bone turnover Care and treatment Case-Control Studies Clinical medicine Collagen Collagen (type I) Collagen Type I - metabolism Diagnosis Early prognosis Female Fracture Fractures Gender Growth factors Health aspects Hip joint Humans Insulin-like growth factor I Insulin-Like Growth Factor I - analysis Insulin-Like Growth Factor I - metabolism Insulin-like growth factors Male Metabolism Middle Aged Mortality Older people Osteoporosis Osteoporosis - diagnosis Osteoporotic Fractures - diagnosis Osteoporotic Fractures - etiology Osteoporotic in the elderly Parathyroid hormone Parathyroid Hormone - blood Predictive Value of Tests Prognosis Regression analysis Risk Assessment Risk Factors Risk of occurrence ROC Curve Statistical analysis Weightlessness |
| title | Bone metabolism factors in predicting the risk of osteoporosis fracture in the elderly |
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