Non-diabetic nephropathy in diabetic patients: incidence, HbA1c variability and other predictive factors, and implications
Purpose Diabetes mellitus (DM) is the leading cause of chronic kidney disease (CKD) in the population. In patients with diabetes mellitus, the incidence of non-diabetic nephropathy (NDNP) has been estimated to range from 3% to 69.5%. Personal judgment is frequently employed while deciding whether or...
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creator | Demirelli, Bülent Boztepe, Burcu Şenol, Elif Gülcan Boynueğri, Başak Bildacı, Yelda Deligöz Gümrükçü, Gülistan Canbakan, Mustafa Öğütmen, Melike Betül |
description | Purpose
Diabetes mellitus (DM) is the leading cause of chronic kidney disease (CKD) in the population. In patients with diabetes mellitus, the incidence of non-diabetic nephropathy (NDNP) has been estimated to range from 3% to 69.5%. Personal judgment is frequently employed while deciding whether or not to do a kidney biopsy (KB) on diabetic patients. NDNP alters the prognosis and course of treatment for people with DM. In our study, we examined the incidence of NDNP concurrent with the progression of diabetes mellitus, as well as the laboratory and clinical indicators that could be utilized to forecast it.
Methods
A retrospective analysis of 76 diabetic patients who underwent KB was conducted. Based on the pathological diagnoses of these patients, they were categorized as DNP (diabetic nephropathy) or NDNP. The definition of HbA1c variability was determined by calculating the mean HbA1c and the average value of the HbA1c measurements, as well as the standard deviation (SD) for each participant.
Results
NDNP was detected in 50% of 76 patients. Among patients with NDNP, 36.8% had focal segmental glomerulosclerosis (FSGS), 23.6% had membranous glomerulonephritis, and 7.8% had IgA nephritis. The NDNP group exhibited significantly higher rates of female gender, absence of diabetic retinopathy, shorter time to diagnosis of diabetes mellitus, chronic kidney disease, and proteinuria, less intensive medication for diabetes mellitus, presence of hematuria and leukociduria, immunological serological marker positivity, and non-HbA1C variability. Risk factors for predicting non-diabetic nephropathy, as determined by multivariate analysis, included female gender, the absence of diabetic retinopathy, non-HbA1c variability and a positive immunological serological test.
Conclusion
In this study, a significant number of diabetic patients with chronic kidney disease were diagnosed with NDNP. Identifying these patients allows for treatment of the specific underlying disease. Factors such as the absence of DR, non-HbA1c variability, female gender, and immunological serological test positivity can predict NDNP and guide the clinician’s decision on kidney biopsy. Further prospective studies are warranted to validate the efficacy of potential predictive factors like HbA1c variability. |
doi_str_mv | 10.1007/s11255-024-04066-w |
format | Article |
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Diabetes mellitus (DM) is the leading cause of chronic kidney disease (CKD) in the population. In patients with diabetes mellitus, the incidence of non-diabetic nephropathy (NDNP) has been estimated to range from 3% to 69.5%. Personal judgment is frequently employed while deciding whether or not to do a kidney biopsy (KB) on diabetic patients. NDNP alters the prognosis and course of treatment for people with DM. In our study, we examined the incidence of NDNP concurrent with the progression of diabetes mellitus, as well as the laboratory and clinical indicators that could be utilized to forecast it.
Methods
A retrospective analysis of 76 diabetic patients who underwent KB was conducted. Based on the pathological diagnoses of these patients, they were categorized as DNP (diabetic nephropathy) or NDNP. The definition of HbA1c variability was determined by calculating the mean HbA1c and the average value of the HbA1c measurements, as well as the standard deviation (SD) for each participant.
Results
NDNP was detected in 50% of 76 patients. Among patients with NDNP, 36.8% had focal segmental glomerulosclerosis (FSGS), 23.6% had membranous glomerulonephritis, and 7.8% had IgA nephritis. The NDNP group exhibited significantly higher rates of female gender, absence of diabetic retinopathy, shorter time to diagnosis of diabetes mellitus, chronic kidney disease, and proteinuria, less intensive medication for diabetes mellitus, presence of hematuria and leukociduria, immunological serological marker positivity, and non-HbA1C variability. Risk factors for predicting non-diabetic nephropathy, as determined by multivariate analysis, included female gender, the absence of diabetic retinopathy, non-HbA1c variability and a positive immunological serological test.
Conclusion
In this study, a significant number of diabetic patients with chronic kidney disease were diagnosed with NDNP. Identifying these patients allows for treatment of the specific underlying disease. Factors such as the absence of DR, non-HbA1c variability, female gender, and immunological serological test positivity can predict NDNP and guide the clinician’s decision on kidney biopsy. Further prospective studies are warranted to validate the efficacy of potential predictive factors like HbA1c variability.</description><identifier>ISSN: 1573-2584</identifier><identifier>ISSN: 0301-1623</identifier><identifier>EISSN: 1573-2584</identifier><identifier>DOI: 10.1007/s11255-024-04066-w</identifier><identifier>PMID: 38662267</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Adult ; Aged ; Biopsy ; Diabetes ; Diabetes mellitus ; Diabetic Nephropathies - blood ; Diabetic Nephropathies - epidemiology ; Diabetic nephropathy ; Diabetic retinopathy ; Disease Progression ; Female ; Females ; Gender ; Glomerulonephritis ; Glomerulonephritis, IGA - blood ; Glomerulonephritis, IGA - complications ; Glomerulonephritis, IGA - epidemiology ; Glomerulonephritis, Membranous - blood ; Glomerulonephritis, Membranous - complications ; Glomerulonephritis, Membranous - epidemiology ; Glomerulosclerosis, Focal Segmental - blood ; Glomerulosclerosis, Focal Segmental - complications ; Glycated Hemoglobin - analysis ; Hematuria ; Humans ; Immunoglobulin A ; Immunology ; Incidence ; Kidney diseases ; Male ; Medicine ; Medicine & Public Health ; Membranous glomerulonephritis ; Middle Aged ; Multivariate analysis ; Nephrology ; Nephrology – Original Paper ; Nephropathy ; Patients ; Proteinuria ; Retinopathy ; Retrospective Studies ; Risk factors ; Serology ; Sex Factors ; Urology ; Variability</subject><ispartof>International urology and nephrology, 2024-09, Vol.56 (9), p.3091-3100</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer Nature B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-70be82f47e3740ed1d8a8d86aad6563110e632031173ad1e64eb08afe8ed3b913</cites><orcidid>0000-0002-6623-9669 ; 0000-0001-9888-995X ; 0000-0002-3479-4801 ; 0000-0003-4054-2069 ; 0000-0002-5704-6160 ; 0000-0001-9110-868X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11255-024-04066-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11255-024-04066-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38662267$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Demirelli, Bülent</creatorcontrib><creatorcontrib>Boztepe, Burcu</creatorcontrib><creatorcontrib>Şenol, Elif Gülcan</creatorcontrib><creatorcontrib>Boynueğri, Başak</creatorcontrib><creatorcontrib>Bildacı, Yelda Deligöz</creatorcontrib><creatorcontrib>Gümrükçü, Gülistan</creatorcontrib><creatorcontrib>Canbakan, Mustafa</creatorcontrib><creatorcontrib>Öğütmen, Melike Betül</creatorcontrib><title>Non-diabetic nephropathy in diabetic patients: incidence, HbA1c variability and other predictive factors, and implications</title><title>International urology and nephrology</title><addtitle>Int Urol Nephrol</addtitle><addtitle>Int Urol Nephrol</addtitle><description>Purpose
Diabetes mellitus (DM) is the leading cause of chronic kidney disease (CKD) in the population. In patients with diabetes mellitus, the incidence of non-diabetic nephropathy (NDNP) has been estimated to range from 3% to 69.5%. Personal judgment is frequently employed while deciding whether or not to do a kidney biopsy (KB) on diabetic patients. NDNP alters the prognosis and course of treatment for people with DM. In our study, we examined the incidence of NDNP concurrent with the progression of diabetes mellitus, as well as the laboratory and clinical indicators that could be utilized to forecast it.
Methods
A retrospective analysis of 76 diabetic patients who underwent KB was conducted. Based on the pathological diagnoses of these patients, they were categorized as DNP (diabetic nephropathy) or NDNP. The definition of HbA1c variability was determined by calculating the mean HbA1c and the average value of the HbA1c measurements, as well as the standard deviation (SD) for each participant.
Results
NDNP was detected in 50% of 76 patients. Among patients with NDNP, 36.8% had focal segmental glomerulosclerosis (FSGS), 23.6% had membranous glomerulonephritis, and 7.8% had IgA nephritis. The NDNP group exhibited significantly higher rates of female gender, absence of diabetic retinopathy, shorter time to diagnosis of diabetes mellitus, chronic kidney disease, and proteinuria, less intensive medication for diabetes mellitus, presence of hematuria and leukociduria, immunological serological marker positivity, and non-HbA1C variability. Risk factors for predicting non-diabetic nephropathy, as determined by multivariate analysis, included female gender, the absence of diabetic retinopathy, non-HbA1c variability and a positive immunological serological test.
Conclusion
In this study, a significant number of diabetic patients with chronic kidney disease were diagnosed with NDNP. Identifying these patients allows for treatment of the specific underlying disease. Factors such as the absence of DR, non-HbA1c variability, female gender, and immunological serological test positivity can predict NDNP and guide the clinician’s decision on kidney biopsy. Further prospective studies are warranted to validate the efficacy of potential predictive factors like HbA1c variability.</description><subject>Adult</subject><subject>Aged</subject><subject>Biopsy</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetic Nephropathies - blood</subject><subject>Diabetic Nephropathies - epidemiology</subject><subject>Diabetic nephropathy</subject><subject>Diabetic retinopathy</subject><subject>Disease Progression</subject><subject>Female</subject><subject>Females</subject><subject>Gender</subject><subject>Glomerulonephritis</subject><subject>Glomerulonephritis, IGA - blood</subject><subject>Glomerulonephritis, IGA - complications</subject><subject>Glomerulonephritis, IGA - epidemiology</subject><subject>Glomerulonephritis, Membranous - blood</subject><subject>Glomerulonephritis, Membranous - complications</subject><subject>Glomerulonephritis, Membranous - epidemiology</subject><subject>Glomerulosclerosis, Focal Segmental - blood</subject><subject>Glomerulosclerosis, Focal Segmental - complications</subject><subject>Glycated Hemoglobin - analysis</subject><subject>Hematuria</subject><subject>Humans</subject><subject>Immunoglobulin A</subject><subject>Immunology</subject><subject>Incidence</subject><subject>Kidney diseases</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Membranous glomerulonephritis</subject><subject>Middle Aged</subject><subject>Multivariate analysis</subject><subject>Nephrology</subject><subject>Nephrology – Original Paper</subject><subject>Nephropathy</subject><subject>Patients</subject><subject>Proteinuria</subject><subject>Retinopathy</subject><subject>Retrospective Studies</subject><subject>Risk factors</subject><subject>Serology</subject><subject>Sex Factors</subject><subject>Urology</subject><subject>Variability</subject><issn>1573-2584</issn><issn>0301-1623</issn><issn>1573-2584</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kcFPFTEQxhsjEUT_AQ-miRcOLE7b3W7XGyEqJAQuem667ayvZF-7tn2Q519P4SEaD55m8s1vvpnkI-QdgxMG0H_MjPGua4C3DbQgZXP3ghywrhcN71T78q9-n7zO-QYABgXwiuwLJSXnsj8gv65iaJw3IxZvacBlleJiympLfaDPelU8hpI_VdV6h8HiMT0fT5mltyZVys--bKkJjsaywkSXhM7b4m-RTsaWmPLx49Svl9nb6hZDfkP2JjNnfPtUD8n3L5-_nZ03l9dfL85OLxsruCxNDyMqPrU9ir4FdMwpo5ySxjjZScEYoBQcatML4xjKFkdQZkKFTowDE4fkaOe7pPhzg7notc8W59kEjJusBbSyY3KQD-iHf9CbuEmhflepgbcD66CvFN9RNsWcE056SX5t0lYz0A_J6F0yuiajH5PRd3Xp_ZP1Zlyje175HUUFxA7IdRR-YPpz-z-298HKmm4</recordid><startdate>20240901</startdate><enddate>20240901</enddate><creator>Demirelli, Bülent</creator><creator>Boztepe, Burcu</creator><creator>Şenol, Elif Gülcan</creator><creator>Boynueğri, Başak</creator><creator>Bildacı, Yelda Deligöz</creator><creator>Gümrükçü, Gülistan</creator><creator>Canbakan, Mustafa</creator><creator>Öğütmen, Melike Betül</creator><general>Springer Netherlands</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>7QP</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6623-9669</orcidid><orcidid>https://orcid.org/0000-0001-9888-995X</orcidid><orcidid>https://orcid.org/0000-0002-3479-4801</orcidid><orcidid>https://orcid.org/0000-0003-4054-2069</orcidid><orcidid>https://orcid.org/0000-0002-5704-6160</orcidid><orcidid>https://orcid.org/0000-0001-9110-868X</orcidid></search><sort><creationdate>20240901</creationdate><title>Non-diabetic nephropathy in diabetic patients: incidence, HbA1c variability and other predictive factors, and implications</title><author>Demirelli, Bülent ; Boztepe, Burcu ; Şenol, Elif Gülcan ; Boynueğri, Başak ; Bildacı, Yelda Deligöz ; Gümrükçü, Gülistan ; Canbakan, Mustafa ; Öğütmen, Melike Betül</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-70be82f47e3740ed1d8a8d86aad6563110e632031173ad1e64eb08afe8ed3b913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biopsy</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetic Nephropathies - blood</topic><topic>Diabetic Nephropathies - epidemiology</topic><topic>Diabetic nephropathy</topic><topic>Diabetic retinopathy</topic><topic>Disease Progression</topic><topic>Female</topic><topic>Females</topic><topic>Gender</topic><topic>Glomerulonephritis</topic><topic>Glomerulonephritis, IGA - blood</topic><topic>Glomerulonephritis, IGA - complications</topic><topic>Glomerulonephritis, IGA - epidemiology</topic><topic>Glomerulonephritis, Membranous - blood</topic><topic>Glomerulonephritis, Membranous - complications</topic><topic>Glomerulonephritis, Membranous - epidemiology</topic><topic>Glomerulosclerosis, Focal Segmental - blood</topic><topic>Glomerulosclerosis, Focal Segmental - complications</topic><topic>Glycated Hemoglobin - analysis</topic><topic>Hematuria</topic><topic>Humans</topic><topic>Immunoglobulin A</topic><topic>Immunology</topic><topic>Incidence</topic><topic>Kidney diseases</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Membranous glomerulonephritis</topic><topic>Middle Aged</topic><topic>Multivariate analysis</topic><topic>Nephrology</topic><topic>Nephrology – Original Paper</topic><topic>Nephropathy</topic><topic>Patients</topic><topic>Proteinuria</topic><topic>Retinopathy</topic><topic>Retrospective Studies</topic><topic>Risk factors</topic><topic>Serology</topic><topic>Sex Factors</topic><topic>Urology</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Demirelli, Bülent</creatorcontrib><creatorcontrib>Boztepe, Burcu</creatorcontrib><creatorcontrib>Şenol, Elif Gülcan</creatorcontrib><creatorcontrib>Boynueğri, Başak</creatorcontrib><creatorcontrib>Bildacı, Yelda Deligöz</creatorcontrib><creatorcontrib>Gümrükçü, Gülistan</creatorcontrib><creatorcontrib>Canbakan, Mustafa</creatorcontrib><creatorcontrib>Öğütmen, Melike Betül</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>International urology and nephrology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Demirelli, Bülent</au><au>Boztepe, Burcu</au><au>Şenol, Elif Gülcan</au><au>Boynueğri, Başak</au><au>Bildacı, Yelda Deligöz</au><au>Gümrükçü, Gülistan</au><au>Canbakan, Mustafa</au><au>Öğütmen, Melike Betül</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Non-diabetic nephropathy in diabetic patients: incidence, HbA1c variability and other predictive factors, and implications</atitle><jtitle>International urology and nephrology</jtitle><stitle>Int Urol Nephrol</stitle><addtitle>Int Urol Nephrol</addtitle><date>2024-09-01</date><risdate>2024</risdate><volume>56</volume><issue>9</issue><spage>3091</spage><epage>3100</epage><pages>3091-3100</pages><issn>1573-2584</issn><issn>0301-1623</issn><eissn>1573-2584</eissn><abstract>Purpose
Diabetes mellitus (DM) is the leading cause of chronic kidney disease (CKD) in the population. In patients with diabetes mellitus, the incidence of non-diabetic nephropathy (NDNP) has been estimated to range from 3% to 69.5%. Personal judgment is frequently employed while deciding whether or not to do a kidney biopsy (KB) on diabetic patients. NDNP alters the prognosis and course of treatment for people with DM. In our study, we examined the incidence of NDNP concurrent with the progression of diabetes mellitus, as well as the laboratory and clinical indicators that could be utilized to forecast it.
Methods
A retrospective analysis of 76 diabetic patients who underwent KB was conducted. Based on the pathological diagnoses of these patients, they were categorized as DNP (diabetic nephropathy) or NDNP. The definition of HbA1c variability was determined by calculating the mean HbA1c and the average value of the HbA1c measurements, as well as the standard deviation (SD) for each participant.
Results
NDNP was detected in 50% of 76 patients. Among patients with NDNP, 36.8% had focal segmental glomerulosclerosis (FSGS), 23.6% had membranous glomerulonephritis, and 7.8% had IgA nephritis. The NDNP group exhibited significantly higher rates of female gender, absence of diabetic retinopathy, shorter time to diagnosis of diabetes mellitus, chronic kidney disease, and proteinuria, less intensive medication for diabetes mellitus, presence of hematuria and leukociduria, immunological serological marker positivity, and non-HbA1C variability. Risk factors for predicting non-diabetic nephropathy, as determined by multivariate analysis, included female gender, the absence of diabetic retinopathy, non-HbA1c variability and a positive immunological serological test.
Conclusion
In this study, a significant number of diabetic patients with chronic kidney disease were diagnosed with NDNP. Identifying these patients allows for treatment of the specific underlying disease. Factors such as the absence of DR, non-HbA1c variability, female gender, and immunological serological test positivity can predict NDNP and guide the clinician’s decision on kidney biopsy. Further prospective studies are warranted to validate the efficacy of potential predictive factors like HbA1c variability.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>38662267</pmid><doi>10.1007/s11255-024-04066-w</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-6623-9669</orcidid><orcidid>https://orcid.org/0000-0001-9888-995X</orcidid><orcidid>https://orcid.org/0000-0002-3479-4801</orcidid><orcidid>https://orcid.org/0000-0003-4054-2069</orcidid><orcidid>https://orcid.org/0000-0002-5704-6160</orcidid><orcidid>https://orcid.org/0000-0001-9110-868X</orcidid></addata></record> |
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subjects | Adult Aged Biopsy Diabetes Diabetes mellitus Diabetic Nephropathies - blood Diabetic Nephropathies - epidemiology Diabetic nephropathy Diabetic retinopathy Disease Progression Female Females Gender Glomerulonephritis Glomerulonephritis, IGA - blood Glomerulonephritis, IGA - complications Glomerulonephritis, IGA - epidemiology Glomerulonephritis, Membranous - blood Glomerulonephritis, Membranous - complications Glomerulonephritis, Membranous - epidemiology Glomerulosclerosis, Focal Segmental - blood Glomerulosclerosis, Focal Segmental - complications Glycated Hemoglobin - analysis Hematuria Humans Immunoglobulin A Immunology Incidence Kidney diseases Male Medicine Medicine & Public Health Membranous glomerulonephritis Middle Aged Multivariate analysis Nephrology Nephrology – Original Paper Nephropathy Patients Proteinuria Retinopathy Retrospective Studies Risk factors Serology Sex Factors Urology Variability |
title | Non-diabetic nephropathy in diabetic patients: incidence, HbA1c variability and other predictive factors, and implications |
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