Clinicopathological Characteristics and Outcomes of Immunoglobulin A Nephropathy with Different Types of Dyslipidemia: A Retrospective Single-Center Study
Abstract Introduction: Immunoglobulin A nephropathy (IgAN) is one of the most common glomerulonephritic diseases in the world. Several lines of evidence have suggested that dyslipidemia is related to the disease progression and prognosis of IgAN. However, the study is scarce on the clinicopathologic...
Gespeichert in:
Veröffentlicht in: | Kidney & blood pressure research 2023-01, Vol.48 (1), p.186-193 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 193 |
---|---|
container_issue | 1 |
container_start_page | 186 |
container_title | Kidney & blood pressure research |
container_volume | 48 |
creator | Liu, Sidi Lu, Zhenzhen Fu, Zhike Li, Huijie Gui, Chuying Deng, Yueyi |
description | Abstract
Introduction: Immunoglobulin A nephropathy (IgAN) is one of the most common glomerulonephritic diseases in the world. Several lines of evidence have suggested that dyslipidemia is related to the disease progression and prognosis of IgAN. However, the study is scarce on the clinicopathological characteristics and outcomes of IgAN with dyslipidemia. Methods: This study retrospectively analyzed 234 patients with biopsy-proven idiopathic IgAN at the Department of Nephrology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, between January 2015 and June 2021. The participants were divided into dyslipidemia (n = 119) and non-dyslipidemia (n = 115), and the dyslipidemia group was also divided into the following 4 groups: hypertriglyceridemia group, hypercholesterolemia group, mixed hyperlipidemia group, and low high-density lipoprotein cholesterol group. The estimated glomerular filtration rate (eGFR) was estimated by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Results: The prevalence of dyslipidemia in IgAN patients in our center was 50.9% (119/234). The patients with dyslipidemia presented with higher systolic blood pressure (BP), diastolic BP, serum creatinine, uric acid, hemoglobin, proteinuria, and eGFR (p < 0.05). Proportions of males, hypertension, and chronic kidney disease stage 2∼5 were also higher in the dyslipidemia group (p < 0.05). Similarly, the pathological characteristics performed were worse in the dyslipidemia group. Most dyslipidemia patients had a higher percentage of mesangial hypercellularity (M1) and tubular atrophy/interstitial fibrosis (T1∼2) in the Oxford Classification’s scoring system (p < 0.05). Multivariate logistic regression analysis revealed that male gender (odds ratio [OR] = 2.397, 95% confidence interval [CI]: 1.051–5.469, p = 0.038) and proteinuria (OR = 1.000, 95% CI: 1.000–1.001, p = 0.035) were possible risk factors for dyslipidemia. A total of 13 patients (13.8%) in the dyslipidemia group had an endpoint event, of which 6 patients (6.4%) had a ≥50% decrease in eGFR from baseline and 7 patients (7.4%) reached the end-stage renal disease stage. Kaplan-Meier survival curve analysis showed that patients in the dyslipidemia group had a worse outcome than those in the non-dyslipidemia group (log-rank test, p = 0.048). Conclusions: IgAN patients with dyslipidemia presented more severe clinicopathological characteristics. Male gender and proteinuria are significantly as |
doi_str_mv | 10.1159/000529822 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2906762067</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_0afc9cfeee6849dab19b535b8450098b</doaj_id><sourcerecordid>2802427408</sourcerecordid><originalsourceid>FETCH-LOGICAL-c519t-c8af14af4064165301cd42359e0085fba364a88abd009b77f09eba5eb580efb73</originalsourceid><addsrcrecordid>eNptks1u1DAUhSMEoqWwYI-QJTawCFwnTmJ3g8qUnxEVldqythznOuOSxMFOiuZVeFrcmWGgiI1t2d851z6-SfKUwmtKC_EGAIpM8Cy7lxxSluUpUJbf36whZSDKg-RRCNe3GED2MDnIKyizrGKHyc9FZwer3aimletca7XqyGKlvNITehsmqwNRQ0PO50m7HgNxhiz7fh5c27l6jmpyQr7guPIbjzX5YacVObXGoMdhIlfrcSs6XYfOjrbB3qrjqLnAybswop7sDZJLO7QdposoQU8up7lZP04eGNUFfLKbj5KvH95fLT6lZ-cfl4uTs1QXVEyp5spQpgyDktGyyIHqJmZQCATghalVXjLFuaobAFFXlQGBtSqwLjigqav8KFlufRunruXoba_8Wjpl5WbD-VYqH3PoUIIyWmiDiCVnolE1FXWRFzVnMVjB6-j1dus1znWPjY7P8aq7Y3r3ZLAr2bobSYECZwDR4eXOwbvvM4ZJ9jZo7Do1oJuDzDhkLH4d8Ii--Ae9drMfYlYyE1BWZRaHSL3aUjrGHTya_W0oyNv2kfv2iezzv6-_J3_3y5-S35Rv0e-Bz-8uthZybEyknv2X2lX5BTcS19I</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2906762067</pqid></control><display><type>article</type><title>Clinicopathological Characteristics and Outcomes of Immunoglobulin A Nephropathy with Different Types of Dyslipidemia: A Retrospective Single-Center Study</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Karger Open Access</source><creator>Liu, Sidi ; Lu, Zhenzhen ; Fu, Zhike ; Li, Huijie ; Gui, Chuying ; Deng, Yueyi</creator><creatorcontrib>Liu, Sidi ; Lu, Zhenzhen ; Fu, Zhike ; Li, Huijie ; Gui, Chuying ; Deng, Yueyi</creatorcontrib><description>Abstract
Introduction: Immunoglobulin A nephropathy (IgAN) is one of the most common glomerulonephritic diseases in the world. Several lines of evidence have suggested that dyslipidemia is related to the disease progression and prognosis of IgAN. However, the study is scarce on the clinicopathological characteristics and outcomes of IgAN with dyslipidemia. Methods: This study retrospectively analyzed 234 patients with biopsy-proven idiopathic IgAN at the Department of Nephrology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, between January 2015 and June 2021. The participants were divided into dyslipidemia (n = 119) and non-dyslipidemia (n = 115), and the dyslipidemia group was also divided into the following 4 groups: hypertriglyceridemia group, hypercholesterolemia group, mixed hyperlipidemia group, and low high-density lipoprotein cholesterol group. The estimated glomerular filtration rate (eGFR) was estimated by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Results: The prevalence of dyslipidemia in IgAN patients in our center was 50.9% (119/234). The patients with dyslipidemia presented with higher systolic blood pressure (BP), diastolic BP, serum creatinine, uric acid, hemoglobin, proteinuria, and eGFR (p < 0.05). Proportions of males, hypertension, and chronic kidney disease stage 2∼5 were also higher in the dyslipidemia group (p < 0.05). Similarly, the pathological characteristics performed were worse in the dyslipidemia group. Most dyslipidemia patients had a higher percentage of mesangial hypercellularity (M1) and tubular atrophy/interstitial fibrosis (T1∼2) in the Oxford Classification’s scoring system (p < 0.05). Multivariate logistic regression analysis revealed that male gender (odds ratio [OR] = 2.397, 95% confidence interval [CI]: 1.051–5.469, p = 0.038) and proteinuria (OR = 1.000, 95% CI: 1.000–1.001, p = 0.035) were possible risk factors for dyslipidemia. A total of 13 patients (13.8%) in the dyslipidemia group had an endpoint event, of which 6 patients (6.4%) had a ≥50% decrease in eGFR from baseline and 7 patients (7.4%) reached the end-stage renal disease stage. Kaplan-Meier survival curve analysis showed that patients in the dyslipidemia group had a worse outcome than those in the non-dyslipidemia group (log-rank test, p = 0.048). Conclusions: IgAN patients with dyslipidemia presented more severe clinicopathological characteristics. Male gender and proteinuria are significantly associated with the occurrence of dyslipidemia in IgAN patients. Patients in the dyslipidemia group had a worse prognosis than those in the non-dyslipidemia group, which may be essential for the disease management of IgAN and help identify the high-risk patients.</description><identifier>ISSN: 1420-4096</identifier><identifier>EISSN: 1423-0143</identifier><identifier>DOI: 10.1159/000529822</identifier><identifier>PMID: 37062274</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Atrophy ; Biopsy ; Blood pressure ; Chinese medicine ; Cholesterol ; Classification ; clinicopathological characteristics ; Creatinine ; Dyslipidemia ; End-stage renal disease ; Epidemiology ; Epidermal growth factor receptors ; Fibrosis ; Gender ; Glomerular filtration rate ; Hemoglobin ; Herbal medicine ; High density lipoprotein ; Hypercholesterolemia ; Hyperlipidemia ; Hypertension ; Hypertriglyceridemia ; Immunoglobulin A ; immunoglobulin a nephropathy ; Immunoglobulins ; Kidney diseases ; Kidneys ; Lipoproteins ; Males ; Medical prognosis ; Metabolic disorders ; Microscopy ; Nephrology ; Nephropathy ; Prognosis ; Proteinuria ; Rank tests ; Regression analysis ; Research Article ; risk factor ; Risk factors ; Risk groups ; Statistical analysis ; Traditional Chinese medicine ; Uric acid ; Variables</subject><ispartof>Kidney & blood pressure research, 2023-01, Vol.48 (1), p.186-193</ispartof><rights>2023 The Author(s). Published by S. Karger AG, Basel</rights><rights>2023 The Author(s). Published by S. Karger AG, Basel.</rights><rights>2023 The Author(s). Published by S. Karger AG, Basel. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at: https://uk.sagepub.com/en-gb/eur/reusing-open-access-and-sage-choice-content</rights><rights>2023 The Author(s). Published by S. Karger AG, Basel 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c519t-c8af14af4064165301cd42359e0085fba364a88abd009b77f09eba5eb580efb73</citedby><cites>FETCH-LOGICAL-c519t-c8af14af4064165301cd42359e0085fba364a88abd009b77f09eba5eb580efb73</cites><orcidid>0000-0003-3125-2860 ; 0000-0002-6233-7376 ; 0000-0003-4078-5490</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,777,781,861,882,2096,27616,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37062274$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Sidi</creatorcontrib><creatorcontrib>Lu, Zhenzhen</creatorcontrib><creatorcontrib>Fu, Zhike</creatorcontrib><creatorcontrib>Li, Huijie</creatorcontrib><creatorcontrib>Gui, Chuying</creatorcontrib><creatorcontrib>Deng, Yueyi</creatorcontrib><title>Clinicopathological Characteristics and Outcomes of Immunoglobulin A Nephropathy with Different Types of Dyslipidemia: A Retrospective Single-Center Study</title><title>Kidney & blood pressure research</title><addtitle>Kidney Blood Press Res</addtitle><description>Abstract
Introduction: Immunoglobulin A nephropathy (IgAN) is one of the most common glomerulonephritic diseases in the world. Several lines of evidence have suggested that dyslipidemia is related to the disease progression and prognosis of IgAN. However, the study is scarce on the clinicopathological characteristics and outcomes of IgAN with dyslipidemia. Methods: This study retrospectively analyzed 234 patients with biopsy-proven idiopathic IgAN at the Department of Nephrology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, between January 2015 and June 2021. The participants were divided into dyslipidemia (n = 119) and non-dyslipidemia (n = 115), and the dyslipidemia group was also divided into the following 4 groups: hypertriglyceridemia group, hypercholesterolemia group, mixed hyperlipidemia group, and low high-density lipoprotein cholesterol group. The estimated glomerular filtration rate (eGFR) was estimated by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Results: The prevalence of dyslipidemia in IgAN patients in our center was 50.9% (119/234). The patients with dyslipidemia presented with higher systolic blood pressure (BP), diastolic BP, serum creatinine, uric acid, hemoglobin, proteinuria, and eGFR (p < 0.05). Proportions of males, hypertension, and chronic kidney disease stage 2∼5 were also higher in the dyslipidemia group (p < 0.05). Similarly, the pathological characteristics performed were worse in the dyslipidemia group. Most dyslipidemia patients had a higher percentage of mesangial hypercellularity (M1) and tubular atrophy/interstitial fibrosis (T1∼2) in the Oxford Classification’s scoring system (p < 0.05). Multivariate logistic regression analysis revealed that male gender (odds ratio [OR] = 2.397, 95% confidence interval [CI]: 1.051–5.469, p = 0.038) and proteinuria (OR = 1.000, 95% CI: 1.000–1.001, p = 0.035) were possible risk factors for dyslipidemia. A total of 13 patients (13.8%) in the dyslipidemia group had an endpoint event, of which 6 patients (6.4%) had a ≥50% decrease in eGFR from baseline and 7 patients (7.4%) reached the end-stage renal disease stage. Kaplan-Meier survival curve analysis showed that patients in the dyslipidemia group had a worse outcome than those in the non-dyslipidemia group (log-rank test, p = 0.048). Conclusions: IgAN patients with dyslipidemia presented more severe clinicopathological characteristics. Male gender and proteinuria are significantly associated with the occurrence of dyslipidemia in IgAN patients. Patients in the dyslipidemia group had a worse prognosis than those in the non-dyslipidemia group, which may be essential for the disease management of IgAN and help identify the high-risk patients.</description><subject>Atrophy</subject><subject>Biopsy</subject><subject>Blood pressure</subject><subject>Chinese medicine</subject><subject>Cholesterol</subject><subject>Classification</subject><subject>clinicopathological characteristics</subject><subject>Creatinine</subject><subject>Dyslipidemia</subject><subject>End-stage renal disease</subject><subject>Epidemiology</subject><subject>Epidermal growth factor receptors</subject><subject>Fibrosis</subject><subject>Gender</subject><subject>Glomerular filtration rate</subject><subject>Hemoglobin</subject><subject>Herbal medicine</subject><subject>High density lipoprotein</subject><subject>Hypercholesterolemia</subject><subject>Hyperlipidemia</subject><subject>Hypertension</subject><subject>Hypertriglyceridemia</subject><subject>Immunoglobulin A</subject><subject>immunoglobulin a nephropathy</subject><subject>Immunoglobulins</subject><subject>Kidney diseases</subject><subject>Kidneys</subject><subject>Lipoproteins</subject><subject>Males</subject><subject>Medical prognosis</subject><subject>Metabolic disorders</subject><subject>Microscopy</subject><subject>Nephrology</subject><subject>Nephropathy</subject><subject>Prognosis</subject><subject>Proteinuria</subject><subject>Rank tests</subject><subject>Regression analysis</subject><subject>Research Article</subject><subject>risk factor</subject><subject>Risk factors</subject><subject>Risk groups</subject><subject>Statistical analysis</subject><subject>Traditional Chinese medicine</subject><subject>Uric acid</subject><subject>Variables</subject><issn>1420-4096</issn><issn>1423-0143</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>M--</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DOA</sourceid><recordid>eNptks1u1DAUhSMEoqWwYI-QJTawCFwnTmJ3g8qUnxEVldqythznOuOSxMFOiuZVeFrcmWGgiI1t2d851z6-SfKUwmtKC_EGAIpM8Cy7lxxSluUpUJbf36whZSDKg-RRCNe3GED2MDnIKyizrGKHyc9FZwer3aimletca7XqyGKlvNITehsmqwNRQ0PO50m7HgNxhiz7fh5c27l6jmpyQr7guPIbjzX5YacVObXGoMdhIlfrcSs6XYfOjrbB3qrjqLnAybswop7sDZJLO7QdposoQU8up7lZP04eGNUFfLKbj5KvH95fLT6lZ-cfl4uTs1QXVEyp5spQpgyDktGyyIHqJmZQCATghalVXjLFuaobAFFXlQGBtSqwLjigqav8KFlufRunruXoba_8Wjpl5WbD-VYqH3PoUIIyWmiDiCVnolE1FXWRFzVnMVjB6-j1dus1znWPjY7P8aq7Y3r3ZLAr2bobSYECZwDR4eXOwbvvM4ZJ9jZo7Do1oJuDzDhkLH4d8Ii--Ae9drMfYlYyE1BWZRaHSL3aUjrGHTya_W0oyNv2kfv2iezzv6-_J3_3y5-S35Rv0e-Bz-8uthZybEyknv2X2lX5BTcS19I</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Liu, Sidi</creator><creator>Lu, Zhenzhen</creator><creator>Fu, Zhike</creator><creator>Li, Huijie</creator><creator>Gui, Chuying</creator><creator>Deng, Yueyi</creator><general>S. Karger AG</general><general>Karger Publishers</general><scope>M--</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7T7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>S0X</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3125-2860</orcidid><orcidid>https://orcid.org/0000-0002-6233-7376</orcidid><orcidid>https://orcid.org/0000-0003-4078-5490</orcidid></search><sort><creationdate>20230101</creationdate><title>Clinicopathological Characteristics and Outcomes of Immunoglobulin A Nephropathy with Different Types of Dyslipidemia: A Retrospective Single-Center Study</title><author>Liu, Sidi ; Lu, Zhenzhen ; Fu, Zhike ; Li, Huijie ; Gui, Chuying ; Deng, Yueyi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c519t-c8af14af4064165301cd42359e0085fba364a88abd009b77f09eba5eb580efb73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Atrophy</topic><topic>Biopsy</topic><topic>Blood pressure</topic><topic>Chinese medicine</topic><topic>Cholesterol</topic><topic>Classification</topic><topic>clinicopathological characteristics</topic><topic>Creatinine</topic><topic>Dyslipidemia</topic><topic>End-stage renal disease</topic><topic>Epidemiology</topic><topic>Epidermal growth factor receptors</topic><topic>Fibrosis</topic><topic>Gender</topic><topic>Glomerular filtration rate</topic><topic>Hemoglobin</topic><topic>Herbal medicine</topic><topic>High density lipoprotein</topic><topic>Hypercholesterolemia</topic><topic>Hyperlipidemia</topic><topic>Hypertension</topic><topic>Hypertriglyceridemia</topic><topic>Immunoglobulin A</topic><topic>immunoglobulin a nephropathy</topic><topic>Immunoglobulins</topic><topic>Kidney diseases</topic><topic>Kidneys</topic><topic>Lipoproteins</topic><topic>Males</topic><topic>Medical prognosis</topic><topic>Metabolic disorders</topic><topic>Microscopy</topic><topic>Nephrology</topic><topic>Nephropathy</topic><topic>Prognosis</topic><topic>Proteinuria</topic><topic>Rank tests</topic><topic>Regression analysis</topic><topic>Research Article</topic><topic>risk factor</topic><topic>Risk factors</topic><topic>Risk groups</topic><topic>Statistical analysis</topic><topic>Traditional Chinese medicine</topic><topic>Uric acid</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Sidi</creatorcontrib><creatorcontrib>Lu, Zhenzhen</creatorcontrib><creatorcontrib>Fu, Zhike</creatorcontrib><creatorcontrib>Li, Huijie</creatorcontrib><creatorcontrib>Gui, Chuying</creatorcontrib><creatorcontrib>Deng, Yueyi</creatorcontrib><collection>Karger Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS 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>Technology Research Database</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>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Kidney & blood pressure research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Sidi</au><au>Lu, Zhenzhen</au><au>Fu, Zhike</au><au>Li, Huijie</au><au>Gui, Chuying</au><au>Deng, Yueyi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinicopathological Characteristics and Outcomes of Immunoglobulin A Nephropathy with Different Types of Dyslipidemia: A Retrospective Single-Center Study</atitle><jtitle>Kidney & blood pressure research</jtitle><addtitle>Kidney Blood Press Res</addtitle><date>2023-01-01</date><risdate>2023</risdate><volume>48</volume><issue>1</issue><spage>186</spage><epage>193</epage><pages>186-193</pages><issn>1420-4096</issn><eissn>1423-0143</eissn><abstract>Abstract
Introduction: Immunoglobulin A nephropathy (IgAN) is one of the most common glomerulonephritic diseases in the world. Several lines of evidence have suggested that dyslipidemia is related to the disease progression and prognosis of IgAN. However, the study is scarce on the clinicopathological characteristics and outcomes of IgAN with dyslipidemia. Methods: This study retrospectively analyzed 234 patients with biopsy-proven idiopathic IgAN at the Department of Nephrology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, between January 2015 and June 2021. The participants were divided into dyslipidemia (n = 119) and non-dyslipidemia (n = 115), and the dyslipidemia group was also divided into the following 4 groups: hypertriglyceridemia group, hypercholesterolemia group, mixed hyperlipidemia group, and low high-density lipoprotein cholesterol group. The estimated glomerular filtration rate (eGFR) was estimated by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Results: The prevalence of dyslipidemia in IgAN patients in our center was 50.9% (119/234). The patients with dyslipidemia presented with higher systolic blood pressure (BP), diastolic BP, serum creatinine, uric acid, hemoglobin, proteinuria, and eGFR (p < 0.05). Proportions of males, hypertension, and chronic kidney disease stage 2∼5 were also higher in the dyslipidemia group (p < 0.05). Similarly, the pathological characteristics performed were worse in the dyslipidemia group. Most dyslipidemia patients had a higher percentage of mesangial hypercellularity (M1) and tubular atrophy/interstitial fibrosis (T1∼2) in the Oxford Classification’s scoring system (p < 0.05). Multivariate logistic regression analysis revealed that male gender (odds ratio [OR] = 2.397, 95% confidence interval [CI]: 1.051–5.469, p = 0.038) and proteinuria (OR = 1.000, 95% CI: 1.000–1.001, p = 0.035) were possible risk factors for dyslipidemia. A total of 13 patients (13.8%) in the dyslipidemia group had an endpoint event, of which 6 patients (6.4%) had a ≥50% decrease in eGFR from baseline and 7 patients (7.4%) reached the end-stage renal disease stage. Kaplan-Meier survival curve analysis showed that patients in the dyslipidemia group had a worse outcome than those in the non-dyslipidemia group (log-rank test, p = 0.048). Conclusions: IgAN patients with dyslipidemia presented more severe clinicopathological characteristics. Male gender and proteinuria are significantly associated with the occurrence of dyslipidemia in IgAN patients. Patients in the dyslipidemia group had a worse prognosis than those in the non-dyslipidemia group, which may be essential for the disease management of IgAN and help identify the high-risk patients.</abstract><cop>Basel, Switzerland</cop><pub>S. Karger AG</pub><pmid>37062274</pmid><doi>10.1159/000529822</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-3125-2860</orcidid><orcidid>https://orcid.org/0000-0002-6233-7376</orcidid><orcidid>https://orcid.org/0000-0003-4078-5490</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1420-4096 |
ispartof | Kidney & blood pressure research, 2023-01, Vol.48 (1), p.186-193 |
issn | 1420-4096 1423-0143 |
language | eng |
recordid | cdi_proquest_journals_2906762067 |
source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Karger Open Access |
subjects | Atrophy Biopsy Blood pressure Chinese medicine Cholesterol Classification clinicopathological characteristics Creatinine Dyslipidemia End-stage renal disease Epidemiology Epidermal growth factor receptors Fibrosis Gender Glomerular filtration rate Hemoglobin Herbal medicine High density lipoprotein Hypercholesterolemia Hyperlipidemia Hypertension Hypertriglyceridemia Immunoglobulin A immunoglobulin a nephropathy Immunoglobulins Kidney diseases Kidneys Lipoproteins Males Medical prognosis Metabolic disorders Microscopy Nephrology Nephropathy Prognosis Proteinuria Rank tests Regression analysis Research Article risk factor Risk factors Risk groups Statistical analysis Traditional Chinese medicine Uric acid Variables |
title | Clinicopathological Characteristics and Outcomes of Immunoglobulin A Nephropathy with Different Types of Dyslipidemia: A Retrospective Single-Center Study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T10%3A09%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Clinicopathological%20Characteristics%20and%20Outcomes%20of%20Immunoglobulin%20A%20Nephropathy%20with%20Different%20Types%20of%20Dyslipidemia:%20A%20Retrospective%20Single-Center%20Study&rft.jtitle=Kidney%20&%20blood%20pressure%20research&rft.au=Liu,%20Sidi&rft.date=2023-01-01&rft.volume=48&rft.issue=1&rft.spage=186&rft.epage=193&rft.pages=186-193&rft.issn=1420-4096&rft.eissn=1423-0143&rft_id=info:doi/10.1159/000529822&rft_dat=%3Cproquest_cross%3E2802427408%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2906762067&rft_id=info:pmid/37062274&rft_doaj_id=oai_doaj_org_article_0afc9cfeee6849dab19b535b8450098b&rfr_iscdi=true |