Biochemical diagnosis and assessment of disease activity in acromegaly: a two-decade experience
The objective of this study is to assess the secretory pattern of GH after Oral Glucose Tolerance Test (OGTT) or day-curve (DC), in relation with IGF-I and to evaluate the influence of therapy on OGTT. A retrospective analysis in 279 OGTTs performed in 93 acromegalic patients in our unit from Januar...
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description | The objective of this study is to assess the secretory pattern of GH after Oral Glucose Tolerance Test (OGTT) or day-curve (DC), in relation with IGF-I and to evaluate the influence of therapy on OGTT. A retrospective analysis in 279 OGTTs performed in 93 acromegalic patients in our unit from January 1988 to December 2005, in 77 patients also DC data were retrived. GH concentration was evaluated by 3 different systems (RIA, IRMA and chemiluminescence assays), and IGF-I by two RIAs. About 12% of OGTT samples were discordant with the baseline, while discordance between nadir and 120th minute was much lower (5%), with all discordant values, except one, near the cut-off lines. Correlation between DC and OGTT data was around 0.99 among all values, discordance rate between nadir and minimum DC was much lower than that with mean DC. In almost 80% of cases there was a complete concordance between OGTT and DC results, and in about 30% IGF-I was discordant with GH. Correlation analysis between IGF-I and GH was highest with DC data and lowest with OGTT baseline (T0). Considering different treatments discrepancy rates between GH and IGF-I were comparable. The best GH parameter is the minimum GH DC, although in the clinical practice the evaluation of OGTT GH in association with IGF-I is the most practical approach. In this case, the basal and T120 GH values can replace multiple sampling. Different treatment modalities do not influence the discordance rate between GH and IGF-I. |
doi_str_mv | 10.1007/s11102-011-0313-4 |
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A retrospective analysis in 279 OGTTs performed in 93 acromegalic patients in our unit from January 1988 to December 2005, in 77 patients also DC data were retrived. GH concentration was evaluated by 3 different systems (RIA, IRMA and chemiluminescence assays), and IGF-I by two RIAs. About 12% of OGTT samples were discordant with the baseline, while discordance between nadir and 120th minute was much lower (5%), with all discordant values, except one, near the cut-off lines. Correlation between DC and OGTT data was around 0.99 among all values, discordance rate between nadir and minimum DC was much lower than that with mean DC. In almost 80% of cases there was a complete concordance between OGTT and DC results, and in about 30% IGF-I was discordant with GH. Correlation analysis between IGF-I and GH was highest with DC data and lowest with OGTT baseline (T0). Considering different treatments discrepancy rates between GH and IGF-I were comparable. The best GH parameter is the minimum GH DC, although in the clinical practice the evaluation of OGTT GH in association with IGF-I is the most practical approach. In this case, the basal and T120 GH values can replace multiple sampling. Different treatment modalities do not influence the discordance rate between GH and IGF-I.</description><identifier>ISSN: 1386-341X</identifier><identifier>EISSN: 1573-7403</identifier><identifier>DOI: 10.1007/s11102-011-0313-4</identifier><identifier>PMID: 21544532</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Acromegaly ; Acromegaly - blood ; Acromegaly - metabolism ; Acromegaly - pathology ; Adult ; Aged ; Aged, 80 and over ; Chemiluminescence ; Correlation analysis ; Data processing ; Discordance ; Endocrinology ; Female ; Glucose tolerance ; Growth hormone ; Human Growth Hormone - blood ; Human Physiology ; Humans ; Insulin-like growth factor I ; Insulin-Like Growth Factor I - metabolism ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Pituitary ; Radioimmunoassay ; Retrospective Studies ; Sampling ; Young Adult</subject><ispartof>Pituitary, 2012-06, Vol.15 (2), p.215-221</ispartof><rights>Springer Science+Business Media, LLC 2011</rights><rights>Springer Science+Business Media, LLC 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-d9491934381e292fbdca586a7d393d7932b39eb2bb9405a84f977ee879ee31af3</citedby><cites>FETCH-LOGICAL-c405t-d9491934381e292fbdca586a7d393d7932b39eb2bb9405a84f977ee879ee31af3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11102-011-0313-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11102-011-0313-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21544532$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Minuto, Francesco M.</creatorcontrib><creatorcontrib>Resmini, Eugenia</creatorcontrib><creatorcontrib>Boschetti, Mara</creatorcontrib><creatorcontrib>Rebora, Alberto</creatorcontrib><creatorcontrib>Fazzuoli, Laura</creatorcontrib><creatorcontrib>Arvigo, Marica</creatorcontrib><creatorcontrib>Giusti, Massimo</creatorcontrib><creatorcontrib>Ferone, Diego</creatorcontrib><title>Biochemical diagnosis and assessment of disease activity in acromegaly: a two-decade experience</title><title>Pituitary</title><addtitle>Pituitary</addtitle><addtitle>Pituitary</addtitle><description>The objective of this study is to assess the secretory pattern of GH after Oral Glucose Tolerance Test (OGTT) or day-curve (DC), in relation with IGF-I and to evaluate the influence of therapy on OGTT. A retrospective analysis in 279 OGTTs performed in 93 acromegalic patients in our unit from January 1988 to December 2005, in 77 patients also DC data were retrived. GH concentration was evaluated by 3 different systems (RIA, IRMA and chemiluminescence assays), and IGF-I by two RIAs. About 12% of OGTT samples were discordant with the baseline, while discordance between nadir and 120th minute was much lower (5%), with all discordant values, except one, near the cut-off lines. Correlation between DC and OGTT data was around 0.99 among all values, discordance rate between nadir and minimum DC was much lower than that with mean DC. In almost 80% of cases there was a complete concordance between OGTT and DC results, and in about 30% IGF-I was discordant with GH. Correlation analysis between IGF-I and GH was highest with DC data and lowest with OGTT baseline (T0). Considering different treatments discrepancy rates between GH and IGF-I were comparable. The best GH parameter is the minimum GH DC, although in the clinical practice the evaluation of OGTT GH in association with IGF-I is the most practical approach. In this case, the basal and T120 GH values can replace multiple sampling. Different treatment modalities do not influence the discordance rate between GH and IGF-I.</description><subject>Acromegaly</subject><subject>Acromegaly - blood</subject><subject>Acromegaly - metabolism</subject><subject>Acromegaly - pathology</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Chemiluminescence</subject><subject>Correlation analysis</subject><subject>Data processing</subject><subject>Discordance</subject><subject>Endocrinology</subject><subject>Female</subject><subject>Glucose tolerance</subject><subject>Growth hormone</subject><subject>Human Growth Hormone - blood</subject><subject>Human Physiology</subject><subject>Humans</subject><subject>Insulin-like growth factor I</subject><subject>Insulin-Like Growth Factor I - metabolism</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Pituitary</subject><subject>Radioimmunoassay</subject><subject>Retrospective Studies</subject><subject>Sampling</subject><subject>Young Adult</subject><issn>1386-341X</issn><issn>1573-7403</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkUtrHTEMhU1paNK0P6CbYsgmGzeW5Xm4uyT0BYFuGsjOeMaaG4d53I7mtrn_Pk5uGkoh0JUE-s4R0hHiHegPoHV1wgCgjdIASiOgsi_EARQVqspqfJl7rEuFFq72xWvmG62zCu0rsW-gsLZAcyD8WZraaxpSG3oZU1iNEyeWYYwyMBPzQOMipy7PmAKTDO2SfqVlK9OY-3kaaBX67UcZ5PJ7UpHaEEnS7ZrmRGNLb8ReF3qmt4_1UFx-_vTj_Ku6-P7l2_nphWqtLhYVnXXg0GINZJzpmtiGoi5DFdFhrByaBh01pmlc5kNtO1dVRHXliBBCh4fieOe7nqefG-LFD4lb6vsw0rRhDzq7F1A68x9o_mFRFgYzevQPejNt5jEf8kCZuiwfKNhR-R3MM3V-PachzNsM-fug_C4on4Py90F5mzXvH503zUDxSfEnmQyYHcB5NK5o_nv1c653NEOcpg</recordid><startdate>20120601</startdate><enddate>20120601</enddate><creator>Minuto, Francesco M.</creator><creator>Resmini, Eugenia</creator><creator>Boschetti, Mara</creator><creator>Rebora, Alberto</creator><creator>Fazzuoli, Laura</creator><creator>Arvigo, Marica</creator><creator>Giusti, Massimo</creator><creator>Ferone, Diego</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20120601</creationdate><title>Biochemical diagnosis and assessment of disease activity in acromegaly: a two-decade experience</title><author>Minuto, Francesco M. ; Resmini, Eugenia ; Boschetti, Mara ; Rebora, Alberto ; Fazzuoli, Laura ; Arvigo, Marica ; Giusti, Massimo ; Ferone, Diego</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-d9491934381e292fbdca586a7d393d7932b39eb2bb9405a84f977ee879ee31af3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Acromegaly</topic><topic>Acromegaly - blood</topic><topic>Acromegaly - metabolism</topic><topic>Acromegaly - pathology</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Chemiluminescence</topic><topic>Correlation analysis</topic><topic>Data processing</topic><topic>Discordance</topic><topic>Endocrinology</topic><topic>Female</topic><topic>Glucose tolerance</topic><topic>Growth hormone</topic><topic>Human Growth Hormone - blood</topic><topic>Human Physiology</topic><topic>Humans</topic><topic>Insulin-like growth factor I</topic><topic>Insulin-Like Growth Factor I - metabolism</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Pituitary</topic><topic>Radioimmunoassay</topic><topic>Retrospective Studies</topic><topic>Sampling</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Minuto, Francesco M.</creatorcontrib><creatorcontrib>Resmini, Eugenia</creatorcontrib><creatorcontrib>Boschetti, Mara</creatorcontrib><creatorcontrib>Rebora, Alberto</creatorcontrib><creatorcontrib>Fazzuoli, Laura</creatorcontrib><creatorcontrib>Arvigo, Marica</creatorcontrib><creatorcontrib>Giusti, Massimo</creatorcontrib><creatorcontrib>Ferone, Diego</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical 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><jtitle>Pituitary</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Minuto, Francesco M.</au><au>Resmini, Eugenia</au><au>Boschetti, Mara</au><au>Rebora, Alberto</au><au>Fazzuoli, Laura</au><au>Arvigo, Marica</au><au>Giusti, Massimo</au><au>Ferone, Diego</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Biochemical diagnosis and assessment of disease activity in acromegaly: a two-decade experience</atitle><jtitle>Pituitary</jtitle><stitle>Pituitary</stitle><addtitle>Pituitary</addtitle><date>2012-06-01</date><risdate>2012</risdate><volume>15</volume><issue>2</issue><spage>215</spage><epage>221</epage><pages>215-221</pages><issn>1386-341X</issn><eissn>1573-7403</eissn><abstract>The objective of this study is to assess the secretory pattern of GH after Oral Glucose Tolerance Test (OGTT) or day-curve (DC), in relation with IGF-I and to evaluate the influence of therapy on OGTT. A retrospective analysis in 279 OGTTs performed in 93 acromegalic patients in our unit from January 1988 to December 2005, in 77 patients also DC data were retrived. GH concentration was evaluated by 3 different systems (RIA, IRMA and chemiluminescence assays), and IGF-I by two RIAs. About 12% of OGTT samples were discordant with the baseline, while discordance between nadir and 120th minute was much lower (5%), with all discordant values, except one, near the cut-off lines. Correlation between DC and OGTT data was around 0.99 among all values, discordance rate between nadir and minimum DC was much lower than that with mean DC. In almost 80% of cases there was a complete concordance between OGTT and DC results, and in about 30% IGF-I was discordant with GH. Correlation analysis between IGF-I and GH was highest with DC data and lowest with OGTT baseline (T0). Considering different treatments discrepancy rates between GH and IGF-I were comparable. The best GH parameter is the minimum GH DC, although in the clinical practice the evaluation of OGTT GH in association with IGF-I is the most practical approach. In this case, the basal and T120 GH values can replace multiple sampling. Different treatment modalities do not influence the discordance rate between GH and IGF-I.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>21544532</pmid><doi>10.1007/s11102-011-0313-4</doi><tpages>7</tpages></addata></record> |
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subjects | Acromegaly Acromegaly - blood Acromegaly - metabolism Acromegaly - pathology Adult Aged Aged, 80 and over Chemiluminescence Correlation analysis Data processing Discordance Endocrinology Female Glucose tolerance Growth hormone Human Growth Hormone - blood Human Physiology Humans Insulin-like growth factor I Insulin-Like Growth Factor I - metabolism Male Medicine Medicine & Public Health Middle Aged Pituitary Radioimmunoassay Retrospective Studies Sampling Young Adult |
title | Biochemical diagnosis and assessment of disease activity in acromegaly: a two-decade experience |
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