P1279INSULIN RESISTANCE IN HEMODIALYSIS PATIENS

Abstract Background and Aims insulin resistance (IR) is a decrease in the biological response of sensitive tissues to insulin. IR is known as an adverse risk factor in cardiovascular disease, which largely determines the prognosis of patients receiving hemodialysis (HD). But this issue is not well u...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nephrology, dialysis, transplantation dialysis, transplantation, 2020-06, Vol.35 (Supplement_3)
Hauptverfasser: Filinyuk, Pavel, Rumyantsev, Aleksander
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue Supplement_3
container_start_page
container_title Nephrology, dialysis, transplantation
container_volume 35
creator Filinyuk, Pavel
Rumyantsev, Aleksander
description Abstract Background and Aims insulin resistance (IR) is a decrease in the biological response of sensitive tissues to insulin. IR is known as an adverse risk factor in cardiovascular disease, which largely determines the prognosis of patients receiving hemodialysis (HD). But this issue is not well understood. For the screening of IR, special indices have been developed that characterize the sensitivity of tissues to insulin. The aim of the study was to compare the methods of screening for IR in patients receiving HD in relation to the markers of systemic inflammation and atherogenic dyslipidemia (AtD). Method 124 patients receiving HD for 75.4 ± 44.5 months were examined including 66 men and 58 women aged 57.6 ± 13.6 years. For IR screening, the Homeostatic Model Assessment-1 and 2 indices (HOMA-1 and HOMA-2), the Quantitative Insulin Sensitivity Check Index (QUICKI) and triglycerides / glucose (Tri/G) were used. Patients were examined in accordance with the recommendations of KDIGO. Data analysis was carried out using “STATISTICA 10.0”. Results fasting insulin levels were elevated in 19% of patients. But, the calculated indices were consistent with the idea that IR is much more common. So, the IR index in the HOMA -1 model was increased in 47%, in the HOMA -2 model - in 33%, in the QUICKI model - in 36%, the TriH indicator - in 91%. The sensitivity of peripheral tissues in the HOMA-1 and HOMA-2 models was equally reduced by 35-40%. The results of the correlation analysis between indicators of IR and plasma concentration of C-reactive protein and lipid profile are presented in table 1. Informativeness of IR indicators depending on the presence of obesity is presented in table 2 We were also interested in whether insulin resistance affects the development of clinical manifestations of atherosclerosis, cardiac arrhythmias, and heart failure. An analysis of this relationship did not reveal. Only the IR index in the HOMA-1 model with a value of more than 2.7 units was associated with a 4.5-fold increase in the risk of developing clinical manifestations of atherosclerotic lesions (χ2 = 4.582 p = 0.032). Statistically significant it was only in men. Given our data, perhaps IR is one of the reasons for the higher morbidity and mortality of men at HD. Conclusion a comparison of IR models allows us to distinguish HOMA-2 as the most accurate index. The highest correlation with systemic inflammation and AtD was in the HOMA-1 and HOMA-2 indices. Table 1 Indicator CRP
doi_str_mv 10.1093/ndt/gfaa142.P1279
format Article
fullrecord <record><control><sourceid>oup_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1093_ndt_gfaa142_P1279</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/ndt/gfaa142.P1279</oup_id><sourcerecordid>10.1093/ndt/gfaa142.P1279</sourcerecordid><originalsourceid>FETCH-LOGICAL-c799-31bc8be5e3d72b2df8787b3f449a01e5be1773e8a8ce848a46e1ccb56544db13</originalsourceid><addsrcrecordid>eNqNj0tOwzAURS0EEqGwAGZZAGn8_IntYRQMtRTSioQBI8t2HAQCWiUwYPeEtgtg9HSfzr3SQega8BKwovln_5W_DM4BI8sNEKFOUAKswBmhkp-iZGYgwxyrc3QxTW8YY0WESFC-h03TPtWmSR91a9qubCqdzmmlH9a3pqyf52e6KTujm_YSnQ3ufYpXx7tA7Z3uqlVWr-9NVdZZEEplFHyQPvJIe0E86QcppPB0YEw5DJH7CELQKJ0MUTLpWBEhBM8LzljvgS4QHFbDuJ2mMQ52N75-uPHHArZ_vnb2tUdfu1eYOzeHzvZ79w_8FyHCVF0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>P1279INSULIN RESISTANCE IN HEMODIALYSIS PATIENS</title><source>Oxford University Press Journals All Titles (1996-Current)</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Filinyuk, Pavel ; Rumyantsev, Aleksander</creator><creatorcontrib>Filinyuk, Pavel ; Rumyantsev, Aleksander</creatorcontrib><description>Abstract Background and Aims insulin resistance (IR) is a decrease in the biological response of sensitive tissues to insulin. IR is known as an adverse risk factor in cardiovascular disease, which largely determines the prognosis of patients receiving hemodialysis (HD). But this issue is not well understood. For the screening of IR, special indices have been developed that characterize the sensitivity of tissues to insulin. The aim of the study was to compare the methods of screening for IR in patients receiving HD in relation to the markers of systemic inflammation and atherogenic dyslipidemia (AtD). Method 124 patients receiving HD for 75.4 ± 44.5 months were examined including 66 men and 58 women aged 57.6 ± 13.6 years. For IR screening, the Homeostatic Model Assessment-1 and 2 indices (HOMA-1 and HOMA-2), the Quantitative Insulin Sensitivity Check Index (QUICKI) and triglycerides / glucose (Tri/G) were used. Patients were examined in accordance with the recommendations of KDIGO. Data analysis was carried out using “STATISTICA 10.0”. Results fasting insulin levels were elevated in 19% of patients. But, the calculated indices were consistent with the idea that IR is much more common. So, the IR index in the HOMA -1 model was increased in 47%, in the HOMA -2 model - in 33%, in the QUICKI model - in 36%, the TriH indicator - in 91%. The sensitivity of peripheral tissues in the HOMA-1 and HOMA-2 models was equally reduced by 35-40%. The results of the correlation analysis between indicators of IR and plasma concentration of C-reactive protein and lipid profile are presented in table 1. Informativeness of IR indicators depending on the presence of obesity is presented in table 2 We were also interested in whether insulin resistance affects the development of clinical manifestations of atherosclerosis, cardiac arrhythmias, and heart failure. An analysis of this relationship did not reveal. Only the IR index in the HOMA-1 model with a value of more than 2.7 units was associated with a 4.5-fold increase in the risk of developing clinical manifestations of atherosclerotic lesions (χ2 = 4.582 p = 0.032). Statistically significant it was only in men. Given our data, perhaps IR is one of the reasons for the higher morbidity and mortality of men at HD. Conclusion a comparison of IR models allows us to distinguish HOMA-2 as the most accurate index. The highest correlation with systemic inflammation and AtD was in the HOMA-1 and HOMA-2 indices. Table 1 Indicator CRP LDL HDL TG HOMA-1 IR 0,225 0,406 -0,356 0,325 р 0,007 0,0001 0,0001 0,0001 HOMA-1 The sensitivity of peripheral tissues to insulin, S% -0,215 -0,400 0,240 -0,280 р 0,010 0,0001 0,004 0,0008 HOMA-2 IR 0,316 0,417 -0,387 0,315 р 0,0001 0,0001 0,0001 0,0001 HOMA-2 The sensitivity of peripheral tissues to insulin, S% -0,299 -0,402 0,328 -0,290 р 0,0003 0,0001 0,0002 0,0005 QUICKI -0,215 -0,084 0,345 -0,372 р 0,010 0,323 0,0001 0,0001 Tri/G 0,037 -0,081 -0,399 – р 0,664 0,341 0,0001 – Note: CRP - C-reactive protein, LDL - low density lipoproteins, HDL - high density lipoproteins, TG – triglycerides. Table 2 Indicator HOMA-1 HOMA-2 QUICKI Tri/G Sensitivity 0,731 0,542 0,792 0,955 Specificity 0,529 0,727 0,475 0,119 Likelihood ratio of a positive result 1,552 1,985 1,509 1,084 Likelihood ratio of a positive result 0,509 0,630 0,438 0,378 Accuracy 0,630 0,724 0,616 0,329</description><identifier>ISSN: 0931-0509</identifier><identifier>EISSN: 1460-2385</identifier><identifier>DOI: 10.1093/ndt/gfaa142.P1279</identifier><language>eng</language><publisher>Oxford University Press</publisher><ispartof>Nephrology, dialysis, transplantation, 2020-06, Vol.35 (Supplement_3)</ispartof><rights>The Author(s) 2020. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1578,27901,27902</link.rule.ids></links><search><creatorcontrib>Filinyuk, Pavel</creatorcontrib><creatorcontrib>Rumyantsev, Aleksander</creatorcontrib><title>P1279INSULIN RESISTANCE IN HEMODIALYSIS PATIENS</title><title>Nephrology, dialysis, transplantation</title><description>Abstract Background and Aims insulin resistance (IR) is a decrease in the biological response of sensitive tissues to insulin. IR is known as an adverse risk factor in cardiovascular disease, which largely determines the prognosis of patients receiving hemodialysis (HD). But this issue is not well understood. For the screening of IR, special indices have been developed that characterize the sensitivity of tissues to insulin. The aim of the study was to compare the methods of screening for IR in patients receiving HD in relation to the markers of systemic inflammation and atherogenic dyslipidemia (AtD). Method 124 patients receiving HD for 75.4 ± 44.5 months were examined including 66 men and 58 women aged 57.6 ± 13.6 years. For IR screening, the Homeostatic Model Assessment-1 and 2 indices (HOMA-1 and HOMA-2), the Quantitative Insulin Sensitivity Check Index (QUICKI) and triglycerides / glucose (Tri/G) were used. Patients were examined in accordance with the recommendations of KDIGO. Data analysis was carried out using “STATISTICA 10.0”. Results fasting insulin levels were elevated in 19% of patients. But, the calculated indices were consistent with the idea that IR is much more common. So, the IR index in the HOMA -1 model was increased in 47%, in the HOMA -2 model - in 33%, in the QUICKI model - in 36%, the TriH indicator - in 91%. The sensitivity of peripheral tissues in the HOMA-1 and HOMA-2 models was equally reduced by 35-40%. The results of the correlation analysis between indicators of IR and plasma concentration of C-reactive protein and lipid profile are presented in table 1. Informativeness of IR indicators depending on the presence of obesity is presented in table 2 We were also interested in whether insulin resistance affects the development of clinical manifestations of atherosclerosis, cardiac arrhythmias, and heart failure. An analysis of this relationship did not reveal. Only the IR index in the HOMA-1 model with a value of more than 2.7 units was associated with a 4.5-fold increase in the risk of developing clinical manifestations of atherosclerotic lesions (χ2 = 4.582 p = 0.032). Statistically significant it was only in men. Given our data, perhaps IR is one of the reasons for the higher morbidity and mortality of men at HD. Conclusion a comparison of IR models allows us to distinguish HOMA-2 as the most accurate index. The highest correlation with systemic inflammation and AtD was in the HOMA-1 and HOMA-2 indices. Table 1 Indicator CRP LDL HDL TG HOMA-1 IR 0,225 0,406 -0,356 0,325 р 0,007 0,0001 0,0001 0,0001 HOMA-1 The sensitivity of peripheral tissues to insulin, S% -0,215 -0,400 0,240 -0,280 р 0,010 0,0001 0,004 0,0008 HOMA-2 IR 0,316 0,417 -0,387 0,315 р 0,0001 0,0001 0,0001 0,0001 HOMA-2 The sensitivity of peripheral tissues to insulin, S% -0,299 -0,402 0,328 -0,290 р 0,0003 0,0001 0,0002 0,0005 QUICKI -0,215 -0,084 0,345 -0,372 р 0,010 0,323 0,0001 0,0001 Tri/G 0,037 -0,081 -0,399 – р 0,664 0,341 0,0001 – Note: CRP - C-reactive protein, LDL - low density lipoproteins, HDL - high density lipoproteins, TG – triglycerides. Table 2 Indicator HOMA-1 HOMA-2 QUICKI Tri/G Sensitivity 0,731 0,542 0,792 0,955 Specificity 0,529 0,727 0,475 0,119 Likelihood ratio of a positive result 1,552 1,985 1,509 1,084 Likelihood ratio of a positive result 0,509 0,630 0,438 0,378 Accuracy 0,630 0,724 0,616 0,329</description><issn>0931-0509</issn><issn>1460-2385</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqNj0tOwzAURS0EEqGwAGZZAGn8_IntYRQMtRTSioQBI8t2HAQCWiUwYPeEtgtg9HSfzr3SQega8BKwovln_5W_DM4BI8sNEKFOUAKswBmhkp-iZGYgwxyrc3QxTW8YY0WESFC-h03TPtWmSR91a9qubCqdzmmlH9a3pqyf52e6KTujm_YSnQ3ufYpXx7tA7Z3uqlVWr-9NVdZZEEplFHyQPvJIe0E86QcppPB0YEw5DJH7CELQKJ0MUTLpWBEhBM8LzljvgS4QHFbDuJ2mMQ52N75-uPHHArZ_vnb2tUdfu1eYOzeHzvZ79w_8FyHCVF0</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Filinyuk, Pavel</creator><creator>Rumyantsev, Aleksander</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20200601</creationdate><title>P1279INSULIN RESISTANCE IN HEMODIALYSIS PATIENS</title><author>Filinyuk, Pavel ; Rumyantsev, Aleksander</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c799-31bc8be5e3d72b2df8787b3f449a01e5be1773e8a8ce848a46e1ccb56544db13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Filinyuk, Pavel</creatorcontrib><creatorcontrib>Rumyantsev, Aleksander</creatorcontrib><collection>CrossRef</collection><jtitle>Nephrology, dialysis, transplantation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Filinyuk, Pavel</au><au>Rumyantsev, Aleksander</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>P1279INSULIN RESISTANCE IN HEMODIALYSIS PATIENS</atitle><jtitle>Nephrology, dialysis, transplantation</jtitle><date>2020-06-01</date><risdate>2020</risdate><volume>35</volume><issue>Supplement_3</issue><issn>0931-0509</issn><eissn>1460-2385</eissn><abstract>Abstract Background and Aims insulin resistance (IR) is a decrease in the biological response of sensitive tissues to insulin. IR is known as an adverse risk factor in cardiovascular disease, which largely determines the prognosis of patients receiving hemodialysis (HD). But this issue is not well understood. For the screening of IR, special indices have been developed that characterize the sensitivity of tissues to insulin. The aim of the study was to compare the methods of screening for IR in patients receiving HD in relation to the markers of systemic inflammation and atherogenic dyslipidemia (AtD). Method 124 patients receiving HD for 75.4 ± 44.5 months were examined including 66 men and 58 women aged 57.6 ± 13.6 years. For IR screening, the Homeostatic Model Assessment-1 and 2 indices (HOMA-1 and HOMA-2), the Quantitative Insulin Sensitivity Check Index (QUICKI) and triglycerides / glucose (Tri/G) were used. Patients were examined in accordance with the recommendations of KDIGO. Data analysis was carried out using “STATISTICA 10.0”. Results fasting insulin levels were elevated in 19% of patients. But, the calculated indices were consistent with the idea that IR is much more common. So, the IR index in the HOMA -1 model was increased in 47%, in the HOMA -2 model - in 33%, in the QUICKI model - in 36%, the TriH indicator - in 91%. The sensitivity of peripheral tissues in the HOMA-1 and HOMA-2 models was equally reduced by 35-40%. The results of the correlation analysis between indicators of IR and plasma concentration of C-reactive protein and lipid profile are presented in table 1. Informativeness of IR indicators depending on the presence of obesity is presented in table 2 We were also interested in whether insulin resistance affects the development of clinical manifestations of atherosclerosis, cardiac arrhythmias, and heart failure. An analysis of this relationship did not reveal. Only the IR index in the HOMA-1 model with a value of more than 2.7 units was associated with a 4.5-fold increase in the risk of developing clinical manifestations of atherosclerotic lesions (χ2 = 4.582 p = 0.032). Statistically significant it was only in men. Given our data, perhaps IR is one of the reasons for the higher morbidity and mortality of men at HD. Conclusion a comparison of IR models allows us to distinguish HOMA-2 as the most accurate index. The highest correlation with systemic inflammation and AtD was in the HOMA-1 and HOMA-2 indices. Table 1 Indicator CRP LDL HDL TG HOMA-1 IR 0,225 0,406 -0,356 0,325 р 0,007 0,0001 0,0001 0,0001 HOMA-1 The sensitivity of peripheral tissues to insulin, S% -0,215 -0,400 0,240 -0,280 р 0,010 0,0001 0,004 0,0008 HOMA-2 IR 0,316 0,417 -0,387 0,315 р 0,0001 0,0001 0,0001 0,0001 HOMA-2 The sensitivity of peripheral tissues to insulin, S% -0,299 -0,402 0,328 -0,290 р 0,0003 0,0001 0,0002 0,0005 QUICKI -0,215 -0,084 0,345 -0,372 р 0,010 0,323 0,0001 0,0001 Tri/G 0,037 -0,081 -0,399 – р 0,664 0,341 0,0001 – Note: CRP - C-reactive protein, LDL - low density lipoproteins, HDL - high density lipoproteins, TG – triglycerides. Table 2 Indicator HOMA-1 HOMA-2 QUICKI Tri/G Sensitivity 0,731 0,542 0,792 0,955 Specificity 0,529 0,727 0,475 0,119 Likelihood ratio of a positive result 1,552 1,985 1,509 1,084 Likelihood ratio of a positive result 0,509 0,630 0,438 0,378 Accuracy 0,630 0,724 0,616 0,329</abstract><pub>Oxford University Press</pub><doi>10.1093/ndt/gfaa142.P1279</doi></addata></record>
fulltext fulltext
identifier ISSN: 0931-0509
ispartof Nephrology, dialysis, transplantation, 2020-06, Vol.35 (Supplement_3)
issn 0931-0509
1460-2385
language eng
recordid cdi_crossref_primary_10_1093_ndt_gfaa142_P1279
source Oxford University Press Journals All Titles (1996-Current); Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection
title P1279INSULIN RESISTANCE IN HEMODIALYSIS PATIENS
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T06%3A19%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-oup_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=P1279INSULIN%20RESISTANCE%20IN%20HEMODIALYSIS%20PATIENS&rft.jtitle=Nephrology,%20dialysis,%20transplantation&rft.au=Filinyuk,%20Pavel&rft.date=2020-06-01&rft.volume=35&rft.issue=Supplement_3&rft.issn=0931-0509&rft.eissn=1460-2385&rft_id=info:doi/10.1093/ndt/gfaa142.P1279&rft_dat=%3Coup_cross%3E10.1093/ndt/gfaa142.P1279%3C/oup_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_oup_id=10.1093/ndt/gfaa142.P1279&rfr_iscdi=true