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1000 Titel
  • B7-1 and PlGF-1 are two possible new biomarkers to identify fracture-associated trauma patients at higher risk of developing complications: a cohort study
1000 Autor/in
  1. Breinbauer, Regina |
  2. Mäling, Michelle |
  3. Ehnert, Sabrina |
  4. Blumenstock, Gunnar |
  5. Schwarz, Tobias |
  6. Jazewitsch, Johann |
  7. Erne, Felix |
  8. Reumann, Marie K. |
  9. Rollmann, Mika F. |
  10. Braun, Benedikt J. |
  11. Histing, Tina |
  12. Nüssler, Andreas K. |
1000 Verlag BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-08-29
1000 Erschienen in
1000 Quellenangabe
  • 25(1):677
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12891-024-07789-0 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360573/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Around 10% of fractures lead to complications. With increasing fracture incidences in recent years, this poses a serious burden on the healthcare system, with increasing costs for treatment. In the present study, we aimed to identify potential ‘new’ blood markers to predict the development of post-surgical complications in trauma patients following a fracture.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>A total of 292 trauma patients with a complete three-month follow-up were included in this cohort study. Blood samples were obtained from 244 of these patients. Two complication groups were distinguished based on the Clavien-Dindo (CD) classification: CD grade I and CD grade III groups were compared to the controls (CD 0). The Mann-Whitney U test was used to compare the complication groups to the control group.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Analysis of the patients’ data revealed that risk factors are dependent on sex. Both, males and females who developed a CD III complication showed elevated blood levels of B7-1 (<jats:italic>p</jats:italic> = 0.015 and <jats:italic>p</jats:italic> = 0.018, respectively) and PlGF-1 (<jats:italic>p</jats:italic> = 0.009 and <jats:italic>p</jats:italic> = 0.031, respectively), with B7-1 demonstrating greater sensitivity (B7-1: 0.706 (male) and 0.692 (female), PlGF-1: 0.647 (male) and 0.615 (female)). Further analysis of the questionnaires and medical data revealed the importance of additional risk factors. For males (CD 0: 133; CD I: 12; CD III: 18 patients) alcohol consumption was significantly increased for CD I and CD III compared to control with <jats:italic>p</jats:italic> = 0.009 and <jats:italic>p</jats:italic> = 0.007, respectively. For females (CD 0: 107; CD I: 10; CD III: 12 patients) a significantly increased average BMI [kg/m<jats:sup>2</jats:sup>] from 25.5 to 29.7 with CD III was observed, as well as an elevation from one to three comorbidities (<jats:italic>p</jats:italic> = 0.003).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>These two potential new blood markers hold promise for predicting complication development in trauma patients. Nevertheless, further studies are necessary to evaluate the diagnostic utility of B7-1 and PlGF-1 in predicting complications in trauma patients and consider sex differences before their possible use as routine clinical screening tools.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Placenta Growth Factor/blood [MeSH]
lokal Aged [MeSH]
lokal Fractures, Bone/epidemiology [MeSH]
lokal Postoperative Complications/epidemiology [MeSH]
lokal PlGF-1
lokal Risk Factors [MeSH]
lokal Complication
lokal Postoperative Complications/diagnosis [MeSH]
lokal Cohort Studies [MeSH]
lokal Male [MeSH]
lokal B7-1
lokal Fractures, Bone/diagnosis [MeSH]
lokal Postoperative Complications/etiology [MeSH]
lokal Fractures, Bone/etiology [MeSH]
lokal Alcohol consumption
lokal Obesity
lokal Female [MeSH]
lokal Follow-Up Studies [MeSH]
lokal Adult [MeSH]
lokal Fractures, Bone/blood [MeSH]
lokal Biomarkers/blood [MeSH]
lokal Humans [MeSH]
lokal Middle Aged [MeSH]
lokal Gender
lokal Trauma
lokal Fracture repair
lokal Research
lokal Postoperative Complications/blood [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/QnJlaW5iYXVlciwgUmVnaW5h|https://frl.publisso.de/adhoc/uri/TcOkbGluZywgTWljaGVsbGU=|https://frl.publisso.de/adhoc/uri/RWhuZXJ0LCBTYWJyaW5h|https://frl.publisso.de/adhoc/uri/Qmx1bWVuc3RvY2ssIEd1bm5hcg==|https://frl.publisso.de/adhoc/uri/U2Nod2FyeiwgVG9iaWFz|https://frl.publisso.de/adhoc/uri/SmF6ZXdpdHNjaCwgSm9oYW5u|https://frl.publisso.de/adhoc/uri/RXJuZSwgRmVsaXg=|https://frl.publisso.de/adhoc/uri/UmV1bWFubiwgTWFyaWUgSy4=|https://frl.publisso.de/adhoc/uri/Um9sbG1hbm4sIE1pa2EgRi4=|https://frl.publisso.de/adhoc/uri/QnJhdW4sIEJlbmVkaWt0IEou|https://frl.publisso.de/adhoc/uri/SGlzdGluZywgVGluYQ==|https://frl.publisso.de/adhoc/uri/TsO8c3NsZXIsIEFuZHJlYXMgSy4=
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  1. Eberhard Karls Universität Tübingen |
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    1000 Förderer Eberhard Karls Universität Tübingen |
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