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...

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Veröffentlicht in:Kidney & blood pressure research 2023-01, Vol.48 (1), p.186-193
Hauptverfasser: Liu, Sidi, Lu, Zhenzhen, Fu, Zhike, Li, Huijie, Gui, Chuying, Deng, Yueyi
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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
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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 &lt; 0.05). Proportions of males, hypertension, and chronic kidney disease stage 2∼5 were also higher in the dyslipidemia group (p &lt; 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 &lt; 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 &amp; 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 &amp; 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 &lt; 0.05). Proportions of males, hypertension, and chronic kidney disease stage 2∼5 were also higher in the dyslipidemia group (p &lt; 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 &lt; 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. 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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 &amp; 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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 &lt; 0.05). Proportions of males, hypertension, and chronic kidney disease stage 2∼5 were also higher in the dyslipidemia group (p &lt; 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 &lt; 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>
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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
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