e361e7f33814b7743e3294b32800e600 302173.pdf b243713a244cee68a6b5d5637976881902a311cd 302173.pdf df62fac1e32c462382675690b48c8d243c9f3ff964a6557da4edb8d547e92882 302173.pdf Title: Real-world usage of Chronic Kidney Disease – Mineral Bone Disorder (CKD–MBD) biomarkers in nephrology practices Subject: DOI: 10.1093/ckj/sfad290 Clinical Kidney Journal, 17, 1, 29-11-2023. Abstract: Chronic kidney disease mineral bone disorder (CKD-MBD) is a condition characterized by alterations of calcium, phosphate, parathyroid hormone (PTH), and fibroblast growth factor 23 (FGF-23) metabolism that in turn promote bone disorders, vascular calcifications, and increase cardiovascular (CV) risk. Nephrologists’ awareness of diagnostic, prognostic, and therapeutic tools to manage CKD-MBD plays a primary role in adequately preventing and managing this condition in clinical practice.A national survey (composed of 15 closed questions) was launched to inquire about the use of bone biomarkers in the management of CKD-MBD patients by nephrologists and to gain knowledge about the implementation of guideline recommendations in clinical practice.One hundred and six Italian nephrologists participated in the survey for an overall response rate of about 10%. Nephrologists indicated that the laboratories of their hospitals were able to satisfy request of ionized calcium levels, 105 (99.1%) of both PTH and alkaline phosphatase (ALP), 100 (94.3%) of 25(OH)D, and 61 (57.5%) of 1.25(OH)2D; while most laboratories did not support the requests of biomarkers such as FGF-23 (intact: 88.7% and c-terminal: 93.4%), Klotho (95.3%; soluble form: 97.2%), tartrate-resistant acid phosphatase 5b (TRAP-5b) (92.5%), C-terminal telopeptide (CTX) (71.7%), and pro-collagen type 1 N-terminal pro-peptide (P1NP) (88.7%). As interesting data regarding Italian nephrologists’ behavior to start treatment of secondary hyperparathyroidism (sHPT), the majority of clinicians used KDOQI guidelines (n = 55, 51.9%). In contrast, only 40 nephrologists (37.7%) relied on KDIGO guidelines, which recommended referring to values of PTH between two and nine times the upper limit of the normal range.Results point out a marked heterogeneity in the management of CKD-MBD by clinicians as well as a suboptimal implementation of guidelines in Italian clinical practice. Keywords: bone biomarkers, bone fractures, bone turnover markers, CKD-MBD, vascular calcifications Author: Fusaro Maria, Barbuto Simona, Gallieni Maurizio, Cossettini Althea, Re Sartò Giulia Vanessa, Cosmai Laura, Cianciolo Giuseppe, La Manna Gaetano, Nickolas Thomas, Ferrari Serge, Bover Jordi, Haarhaus Mathias, Marino Carmela, Mereu Maria Cristina, Ravera Maura, Plebani Mario, Zaninotto Martina, Cozzolino Mario, Bianchi Stefano, Messa Piergiorgio, Gregorini Mariacristina, Gasperoni Lorenzo, Agosto Caterina, Aghi Andrea, Tripepi Giovanni Creator: OUP Producer: Acrobat Distiller 10.0.0 (Windows); modified using iTextSharp 4.1.6 by 1T3XT CreationDate: Wed Jan 10 16:00:07 2024 CET ModDate: Fri Dec 20 11:16:12 2024 CET Custom Metadata: yes Metadata Stream: yes Tagged: yes UserProperties: no Suspects: no Form: none JavaScript: no Pages: 14 Encrypted: no Page size: 612.284 x 790.866 pts Page rot: 0 File size: 1826815 bytes Optimized: no PDF version: 1.3 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- AIAEBO+CaeciliaLTStd-Heavy Type 1C WinAnsi yes yes no 37 0 AIADHB+MTSY Type 1C Custom yes yes yes 38 0 AIAAFD+CaeciliaLTStd-Bold Type 1C Custom yes yes yes 39 0 AIAAFC+CaeciliaLTStd-Roman Type 1C Custom yes yes yes 40 0 AIAAFB+dummy-space Type 1C WinAnsi yes yes no 41 0 AIAAFA+CaeciliaLTStd-Italic Type 1C Custom yes yes yes 42 0 LZKVSU+ArialMT TrueType WinAnsi yes yes no 1 0 AIAFKG+RMTMI Type 1C Custom yes yes yes 150 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2025-01-11 02:46:31 CET RepresentationInformation: 302173.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2025-01-10 15:21:35 CET Size: 1826815 Format: PDF Version: 1.3 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf Profile: Tagged PDF PDFMetadata: Objects: 1948 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: false CenterWindow: false DisplayDocTitle: true NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: OneColumn PageMode: UseOutlines Language: English Outlines: Item: Title: INTRODUCTION Destination: section*.2 Item: Title: MATERIALS AND METHODS Destination: section*.4 Item: Title: RESULTS Destination: section*.6 Item: Title: Use of PTH and BTMs in clinical practice Destination: section*.8 Item: Title: Management of BTMs in clinical practice, according to guidelines Destination: section*.10 Item: Title: DISCUSSION Destination: section*.12 Item: Title: Use of BTMs in clinical practice Destination: section*.14 Item: Title: Management of BTMs in clinical practice in according to guidelines Destination: section*.16 Item: Title: SUPPLEMENTARY DATA Destination: section*.18 Item: Title: AUTHORS’ CONTRIBUTIONS Destination: section*.20 Item: Title: DATA AVAILABILITY STATEMENT Destination: section*.22 Item: Title: CONFLICT OF INTEREST STATEMENT Destination: section*.24 Item: Title: REFERENCES Destination: section*.26 Info: Title: Real-world usage of Chronic Kidney Disease – Mineral Bone Disorder (CKD–MBD) biomarkers in nephrology practices Author: Fusaro Maria, Barbuto Simona, Gallieni Maurizio, Cossettini Althea, Re Sartò Giulia Vanessa, Cosmai Laura, Cianciolo Giuseppe, La Manna Gaetano, Nickolas Thomas, Ferrari Serge, Bover Jordi, Haarhaus Mathias, Marino Carmela, Mereu Maria Cristina, Ravera Maura, Plebani Mario, Zaninotto Martina, Cozzolino Mario, Bianchi Stefano, Messa Piergiorgio, Gregorini Mariacristina, Gasperoni Lorenzo, Agosto Caterina, Aghi Andrea, Tripepi Giovanni Subject: DOI: 10.1093/ckj/sfad290 Clinical Kidney Journal, 17, 1, 29-11-2023. Abstract: Chronic kidney disease mineral bone disorder (CKD-MBD) is a condition characterized by alterations of calcium, phosphate, parathyroid hormone (PTH), and fibroblast growth factor 23 (FGF-23) metabolism that in turn promote bone disorders, vascular calcifications, and increase cardiovascular (CV) risk. Nephrologists’ awareness of diagnostic, prognostic, and therapeutic tools to manage CKD-MBD plays a primary role in adequately preventing and managing this condition in clinical practice.A national survey (composed of 15 closed questions) was launched to inquire about the use of bone biomarkers in the management of CKD-MBD patients by nephrologists and to gain knowledge about the implementation of guideline recommendations in clinical practice.One hundred and six Italian nephrologists participated in the survey for an overall response rate of about 10%. Nephrologists indicated that the laboratories of their hospitals were able to satisfy request of ionized calcium levels, 105 (99.1%) of both PTH and alkaline phosphatase (ALP), 100 (94.3%) of 25(OH)D, and 61 (57.5%) of 1.25(OH)2D; while most laboratories did not support the requests of biomarkers such as FGF-23 (intact: 88.7% and c-terminal: 93.4%), Klotho (95.3%; soluble form: 97.2%), tartrate-resistant acid phosphatase 5b (TRAP-5b) (92.5%), C-terminal telopeptide (CTX) (71.7%), and pro-collagen type 1 N-terminal pro-peptide (P1NP) (88.7%). As interesting data regarding Italian nephrologists’ behavior to start treatment of secondary hyperparathyroidism (sHPT), the majority of clinicians used KDOQI guidelines (n = 55, 51.9%). In contrast, only 40 nephrologists (37.7%) relied on KDIGO guidelines, which recommended referring to values of PTH between two and nine times the upper limit of the normal range.Results point out a marked heterogeneity in the management of CKD-MBD by clinicians as well as a suboptimal implementation of guidelines in Italian clinical practice. Keywords: bone biomarkers, bone fractures, bone turnover markers, CKD-MBD, vascular calcifications Creator: OUP Producer: Acrobat Distiller 10.0.0 (Windows); modified using iTextSharp 4.1.6 by 1T3XT CreationDate: Wed Jan 10 16:30:07 CET 2024 ModDate: Fri Dec 20 11:16:12 CET 2024 ID: 0xcbb225e6841b24b20eab453e6825a15f, 0xa9144ac9df14ca4524ca74868eb6f319 Filters: FilterPipeline: FlateDecode FilterPipeline: DCTDecode Images: Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 143 ImageHeight: 151 ColorSpace: CMYK BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/png ImageWidth: 15 ImageHeight: 80 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Image: NisoImageMetadata: FormatName: image/png ImageWidth: 287 ImageHeight: 6 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 109 ImageHeight: 95 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/png ImageWidth: 274 ImageHeight: 80 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Image: NisoImageMetadata: FormatName: image/png ImageWidth: 112 ImageHeight: 98 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Image: NisoImageMetadata: FormatName: image/png ImageWidth: 287 ImageHeight: 31 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 287 ImageHeight: 245 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1339 ImageHeight: 747 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1217 ImageHeight: 745 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1339 ImageHeight: 692 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1339 ImageHeight: 728 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1339 ImageHeight: 440 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1339 ImageHeight: 500 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Fonts: Type1: Font: BaseFont: AIAEBO+CaeciliaLTStd-Heavy FontSubset: true FirstChar: 48 LastChar: 146 FontDescriptor: FontName: AIAEBO+CaeciliaLTStd-Heavy Flags: Nonsymbolic, ForceBold FontBBox: -170, -277, 1146, 970 FontFile3: true Encoding: WinAnsiEncoding Font: BaseFont: AIADHB+MTSY FontSubset: true FirstChar: 2 LastChar: 215 FontDescriptor: FontName: AIADHB+MTSY Flags: Symbolic FontBBox: 0, -954, 1043, 796 FontFile3: true EncodingDictionary: Differences: true ToUnicode: true Font: BaseFont: AIAFKG+RMTMI FontSubset: true FirstChar: 2 LastChar: 181 FontDescriptor: FontName: AIAFKG+RMTMI Flags: Symbolic, Italic FontBBox: 0, -213, 987, 680 FontFile3: true EncodingDictionary: Differences: true ToUnicode: true Font: BaseFont: AIAAFD+CaeciliaLTStd-Bold FontSubset: true FirstChar: 2 LastChar: 248 FontDescriptor: FontName: AIAAFD+CaeciliaLTStd-Bold Flags: Serif, Symbolic, ForceBold FontBBox: -166, -273, 1141, 938 FontFile3: true EncodingDictionary: Differences: true ToUnicode: true Font: BaseFont: AIAAFC+CaeciliaLTStd-Roman FontSubset: true FirstChar: 2 LastChar: 248 FontDescriptor: FontName: AIAAFC+CaeciliaLTStd-Roman Flags: Serif, Symbolic FontBBox: -167, -270, 1136, 926 FontFile3: true EncodingDictionary: Differences: true ToUnicode: true Font: BaseFont: AIAAFB+dummy-space FontSubset: true FirstChar: 32 LastChar: 32 FontDescriptor: FontName: AIAAFB+dummy-space Flags: Nonsymbolic FontBBox: 0, 0, 0, 0 FontFile3: true Encoding: WinAnsiEncoding Font: BaseFont: AIAAFA+CaeciliaLTStd-Italic FontSubset: true FirstChar: 2 LastChar: 122 FontDescriptor: FontName: AIAAFA+CaeciliaLTStd-Italic Flags: Serif, Symbolic, Italic FontBBox: -166, -270, 1053, 915 FontFile3: true EncodingDictionary: Differences: true ToUnicode: true TrueType: Font: BaseFont: LZKVSU+ArialMT FontSubset: true FirstChar: 32 LastChar: 121 FontDescriptor: FontName: LZKVSU+ArialMT Flags: Nonsymbolic FontBBox: -664, -324, 2000, 1039 FontFile2: true Encoding: WinAnsiEncoding XMP: 2024-01-10T20:30:07+05:30 2024-12-20T10:16:12+00:00 2024-12-20T10:16:12+00:00 OUP Acrobat Distiller 10.0.0 (Windows); modified using iTextSharp 4.1.6 by 1T3XT bone biomarkers, bone fractures, bone turnover markers, CKD-MBD, vascular calcifications VoR 10.1093/ckj/sfad290 2048-8513 Clinical Kidney Journal journal 17 10.1093/ckj/sfad290 https://doi.org/10.1093/ckj/sfad290 © The Author(s) 2023. Published by Oxford University Press on behalf of the ERA. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. All Rights Reserved application/pdf doi:10.1093/ckj/sfad290 © The Author(s) 2023. Published by Oxford University Press on behalf of the ERA. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Fusaro Maria Barbuto Simona Gallieni Maurizio Cossettini Althea Re Sartò Giulia Vanessa Cosmai Laura Cianciolo Giuseppe La Manna Gaetano Nickolas Thomas Ferrari Serge Bover Jordi Haarhaus Mathias Marino Carmela Mereu Maria Cristina Ravera Maura Plebani Mario Zaninotto Martina Cozzolino Mario Bianchi Stefano Messa Piergiorgio Gregorini Mariacristina Gasperoni Lorenzo Agosto Caterina Aghi Andrea Tripepi Giovanni Oxford University Press DOI: 10.1093/ckj/sfad290 Clinical Kidney Journal, 17, 1, 29-11-2023. Abstract: Chronic kidney disease mineral bone disorder (CKD-MBD) is a condition characterized by alterations of calcium, phosphate, parathyroid hormone (PTH), and fibroblast growth factor 23 (FGF-23) metabolism that in turn promote bone disorders, vascular calcifications, and increase cardiovascular (CV) risk. Nephrologists’ awareness of diagnostic, prognostic, and therapeutic tools to manage CKD-MBD plays a primary role in adequately preventing and managing this condition in clinical practice.A national survey (composed of 15 closed questions) was launched to inquire about the use of bone biomarkers in the management of CKD-MBD patients by nephrologists and to gain knowledge about the implementation of guideline recommendations in clinical practice.One hundred and six Italian nephrologists participated in the survey for an overall response rate of about 10%. Nephrologists indicated that the laboratories of their hospitals were able to satisfy request of ionized calcium levels, 105 (99.1%) of both PTH and alkaline phosphatase (ALP), 100 (94.3%) of 25(OH)D, and 61 (57.5%) of 1.25(OH)2D; while most laboratories did not support the requests of biomarkers such as FGF-23 (intact: 88.7% and c-terminal: 93.4%), Klotho (95.3%; soluble form: 97.2%), tartrate-resistant acid phosphatase 5b (TRAP-5b) (92.5%), C-terminal telopeptide (CTX) (71.7%), and pro-collagen type 1 N-terminal pro-peptide (P1NP) (88.7%). As interesting data regarding Italian nephrologists’ behavior to start treatment of secondary hyperparathyroidism (sHPT), the majority of clinicians used KDOQI guidelines (n = 55, 51.9%). In contrast, only 40 nephrologists (37.7%) relied on KDIGO guidelines, which recommended referring to values of PTH between two and nine times the upper limit of the normal range.Results point out a marked heterogeneity in the management of CKD-MBD by clinicians as well as a suboptimal implementation of guidelines in Italian clinical practice. bone biomarkers bone fractures bone turnover markers CKD-MBD vascular calcifications Real-world usage of Chronic Kidney Disease – Mineral Bone Disorder (CKD–MBD) biomarkers in nephrology practices Fusaro Maria, Barbuto Simona, Gallieni Maurizio, Cossettini Althea, Re Sartò Giulia Vanessa, Cosmai Laura, Cianciolo Giuseppe, La Manna Gaetano, Nickolas Thomas, Ferrari Serge, Bover Jordi, Haarhaus Mathias, Marino Carmela, Mereu Maria Cristina, Ravera Maura, Plebani Mario, Zaninotto Martina, Cozzolino Mario, Bianchi Stefano, Messa Piergiorgio, Gregorini Mariacristina, Gasperoni Lorenzo, Agosto Caterina, Aghi Andrea, Tripepi Giovanni 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