Exploring Platelet Indices as Predictors of Nephropathy Severity in Type 2 Diabetes Mellitus: A Hospital-Based Cross-Sectional Analysis
Background Increased platelet activity in type 2 diabetes mellitus (T2DM) plays a key role in the development of vascular complications. Platelet indices such as mean platelet volume (MPV), platelet distribution width (PDW), platelet large cell ratio (PLCR), and plateletcrit (PCT) reflect both the f...
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description | Background Increased platelet activity in type 2 diabetes mellitus (T2DM) plays a key role in the development of vascular complications. Platelet indices such as mean platelet volume (MPV), platelet distribution width (PDW), platelet large cell ratio (PLCR), and plateletcrit (PCT) reflect both the functional and morphological status of platelets. These indices are markers of inflammation and metabolic dysregulation, which are pivotal in diabetic vasculopathy. If platelet indices correlate with nephropathy severity, they could be used as cost-effective, accessible markers for assessing disease progression in T2DM. Materials and methods This cross-sectional study was conducted at Kalinga Institute of Medical Sciences (KIMS), Bhubaneswar, India, from September 2019 to August 2021. A total of 203 patients with T2DM and nephropathy were included, diagnosed per American Diabetes Association 2017 criteria and staged using Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. Nephropathy was assessed using the albumin-to-creatinine ratio, and the glomerular filtration rate (GFR) was calculated using the Modification of Diet in Renal Disease (MDRD) formula. Venous blood samples were collected to measure platelet indices using the SYSMEX XN-1000 automated analyzer (Sysmex Corporation, Kobe, Japan). Statistical analysis was conducted using Statistical Package for the Social Sciences (IBM SPSS Statistics for Windows, IBM Corp., Version 24.0, Armonk, NY), with a comparison of MPV, PDW, PCT, and PLCR across nephropathy stages performed via the Kruskal-Wallis test. Pairwise comparisons were made using the Mann-Whitney test, with a significance level set at p < 0.05. Results The study population had a mean age of 61.7 ± 12.0 years, with 62.1% over 60 years and a male-to-female ratio of 1.5:1. The average diabetes duration was 8.0 ± 5.2 years. The mean platelet count was 236.4 ± 112.6, and the mean values for MPV, PDW, PCT, and PLCR were 11.4 ± 1.7, 15.2 ± 3.8, 0.28 ± 0.11, and 38.9 ± 11.8, respectively. Most patients (63.1%) were in the early stages of nephropathy (stages 1-3). Significant differences in platelet indices were observed across nephropathy stages, with Kruskal-Wallis p-values of 0.027, 0.009, 0.001, and 0.007 for MPV, PDW, PCT, and PLCR, respectively. Pairwise comparisons showed that platelet indices were significantly elevated in advanced nephropathy stages (stages 4 and 5) compared to early stages (stages 1 and 2) with p < 0.05. Conclusion There is |
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Platelet indices such as mean platelet volume (MPV), platelet distribution width (PDW), platelet large cell ratio (PLCR), and plateletcrit (PCT) reflect both the functional and morphological status of platelets. These indices are markers of inflammation and metabolic dysregulation, which are pivotal in diabetic vasculopathy. If platelet indices correlate with nephropathy severity, they could be used as cost-effective, accessible markers for assessing disease progression in T2DM. Materials and methods This cross-sectional study was conducted at Kalinga Institute of Medical Sciences (KIMS), Bhubaneswar, India, from September 2019 to August 2021. A total of 203 patients with T2DM and nephropathy were included, diagnosed per American Diabetes Association 2017 criteria and staged using Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. Nephropathy was assessed using the albumin-to-creatinine ratio, and the glomerular filtration rate (GFR) was calculated using the Modification of Diet in Renal Disease (MDRD) formula. Venous blood samples were collected to measure platelet indices using the SYSMEX XN-1000 automated analyzer (Sysmex Corporation, Kobe, Japan). Statistical analysis was conducted using Statistical Package for the Social Sciences (IBM SPSS Statistics for Windows, IBM Corp., Version 24.0, Armonk, NY), with a comparison of MPV, PDW, PCT, and PLCR across nephropathy stages performed via the Kruskal-Wallis test. Pairwise comparisons were made using the Mann-Whitney test, with a significance level set at p < 0.05. Results The study population had a mean age of 61.7 ± 12.0 years, with 62.1% over 60 years and a male-to-female ratio of 1.5:1. The average diabetes duration was 8.0 ± 5.2 years. The mean platelet count was 236.4 ± 112.6, and the mean values for MPV, PDW, PCT, and PLCR were 11.4 ± 1.7, 15.2 ± 3.8, 0.28 ± 0.11, and 38.9 ± 11.8, respectively. Most patients (63.1%) were in the early stages of nephropathy (stages 1-3). Significant differences in platelet indices were observed across nephropathy stages, with Kruskal-Wallis p-values of 0.027, 0.009, 0.001, and 0.007 for MPV, PDW, PCT, and PLCR, respectively. Pairwise comparisons showed that platelet indices were significantly elevated in advanced nephropathy stages (stages 4 and 5) compared to early stages (stages 1 and 2) with p < 0.05. Conclusion There is a significant correlation between platelet indices and the severity of nephropathy in T2DM patients. MPV, PDW, PCT, and PLCR all increase in advanced stages of nephropathy, suggesting these indices can be used as surrogate markers for assessing disease progression. Their ease of measurement and cost-effectiveness make them valuable tools in monitoring diabetic nephropathy, offering a simpler and more cost-effective alternative for monitoring disease progression.</description><identifier>ISSN: 2168-8184</identifier><identifier>EISSN: 2168-8184</identifier><identifier>DOI: 10.7759/cureus.71796</identifier><identifier>PMID: 39553031</identifier><language>eng</language><publisher>United States: Cureus Inc</publisher><subject>Atherosclerosis ; Blood platelets ; Blood tests ; Chronic illnesses ; Diabetes ; Diabetic nephropathy ; Endocrinology/Diabetes/Metabolism ; Females ; Hemoglobin ; Hospitals ; Hyperglycemia ; Hypertension ; Internal Medicine ; Kidney diseases ; Metabolism ; Morbidity ; Mortality ; Nephrology ; Population</subject><ispartof>Curēus (Palo Alto, CA), 2024-10, Vol.16 (10), p.e71796</ispartof><rights>Copyright © 2024, Sengupta et al.</rights><rights>Copyright © 2024, Sengupta et al. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2024, Sengupta et al. 2024 Sengupta et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1775-6982a27a1ee7d8ecf32ef2f7b017e0dcf8bce1f60c5ede314bd9d6ff26757d4e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11569825/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11569825/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39553031$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sengupta, Piyali</creatorcontrib><creatorcontrib>Priyadarshini, Aparajita</creatorcontrib><creatorcontrib>Kumar Behera, Pradip</creatorcontrib><creatorcontrib>Padarabinda Tripathy, Krishna</creatorcontrib><title>Exploring Platelet Indices as Predictors of Nephropathy Severity in Type 2 Diabetes Mellitus: A Hospital-Based Cross-Sectional Analysis</title><title>Curēus (Palo Alto, CA)</title><addtitle>Cureus</addtitle><description>Background Increased platelet activity in type 2 diabetes mellitus (T2DM) plays a key role in the development of vascular complications. Platelet indices such as mean platelet volume (MPV), platelet distribution width (PDW), platelet large cell ratio (PLCR), and plateletcrit (PCT) reflect both the functional and morphological status of platelets. These indices are markers of inflammation and metabolic dysregulation, which are pivotal in diabetic vasculopathy. If platelet indices correlate with nephropathy severity, they could be used as cost-effective, accessible markers for assessing disease progression in T2DM. Materials and methods This cross-sectional study was conducted at Kalinga Institute of Medical Sciences (KIMS), Bhubaneswar, India, from September 2019 to August 2021. A total of 203 patients with T2DM and nephropathy were included, diagnosed per American Diabetes Association 2017 criteria and staged using Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. Nephropathy was assessed using the albumin-to-creatinine ratio, and the glomerular filtration rate (GFR) was calculated using the Modification of Diet in Renal Disease (MDRD) formula. Venous blood samples were collected to measure platelet indices using the SYSMEX XN-1000 automated analyzer (Sysmex Corporation, Kobe, Japan). Statistical analysis was conducted using Statistical Package for the Social Sciences (IBM SPSS Statistics for Windows, IBM Corp., Version 24.0, Armonk, NY), with a comparison of MPV, PDW, PCT, and PLCR across nephropathy stages performed via the Kruskal-Wallis test. Pairwise comparisons were made using the Mann-Whitney test, with a significance level set at p < 0.05. Results The study population had a mean age of 61.7 ± 12.0 years, with 62.1% over 60 years and a male-to-female ratio of 1.5:1. The average diabetes duration was 8.0 ± 5.2 years. The mean platelet count was 236.4 ± 112.6, and the mean values for MPV, PDW, PCT, and PLCR were 11.4 ± 1.7, 15.2 ± 3.8, 0.28 ± 0.11, and 38.9 ± 11.8, respectively. Most patients (63.1%) were in the early stages of nephropathy (stages 1-3). Significant differences in platelet indices were observed across nephropathy stages, with Kruskal-Wallis p-values of 0.027, 0.009, 0.001, and 0.007 for MPV, PDW, PCT, and PLCR, respectively. Pairwise comparisons showed that platelet indices were significantly elevated in advanced nephropathy stages (stages 4 and 5) compared to early stages (stages 1 and 2) with p < 0.05. Conclusion There is a significant correlation between platelet indices and the severity of nephropathy in T2DM patients. MPV, PDW, PCT, and PLCR all increase in advanced stages of nephropathy, suggesting these indices can be used as surrogate markers for assessing disease progression. Their ease of measurement and cost-effectiveness make them valuable tools in monitoring diabetic nephropathy, offering a simpler and more cost-effective alternative for monitoring disease progression.</description><subject>Atherosclerosis</subject><subject>Blood platelets</subject><subject>Blood tests</subject><subject>Chronic illnesses</subject><subject>Diabetes</subject><subject>Diabetic nephropathy</subject><subject>Endocrinology/Diabetes/Metabolism</subject><subject>Females</subject><subject>Hemoglobin</subject><subject>Hospitals</subject><subject>Hyperglycemia</subject><subject>Hypertension</subject><subject>Internal Medicine</subject><subject>Kidney diseases</subject><subject>Metabolism</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>Nephrology</subject><subject>Population</subject><issn>2168-8184</issn><issn>2168-8184</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkU9P3DAQxa2qqCDKrefKUi89NNR_kjjppdpuaUGiLRL0bDnOmDXyxsF2UPMJ-Np4WUDQi2ck__zGbx5C7yg5FKJqP-spwBQPBRVt_QrtMVo3RUOb8vWzfhcdxHhFCKFEMCLIG7TL26rihNM9dHv0b3Q-2OESnzmVwEHCJ0NvNUSsIj4LkPvkQ8Te4N8wroIfVVrN-BxuINg0Yzvgi3kEzPB3qzpI-eEvcM6mKX7BC3zs42iTcsU3FaHHy-BjLM5BJ-sH5fAiH3O08S3aMcpFOHio--jvj6OL5XFx-ufnyXJxWmiaDRd12zDFhKIAom9AG87AMCM6QgWQXpum00BNTXQFPXBadn3b18awWlSiL4Hvo69b3XHq1tBrGFJQTo7BrlWYpVdWvrwZ7Epe-htJabUZXmWFjw8KwV9PEJNc26izYzWAn6LklLV1Q5kgGf3wH3rlp5AdbyhelpwzXmbq05bSm90EME-_oURuUpbblOV9yhl__9zBE_yYKb8Dl-mm7Q</recordid><startdate>20241018</startdate><enddate>20241018</enddate><creator>Sengupta, Piyali</creator><creator>Priyadarshini, Aparajita</creator><creator>Kumar Behera, Pradip</creator><creator>Padarabinda Tripathy, Krishna</creator><general>Cureus Inc</general><general>Cureus</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20241018</creationdate><title>Exploring Platelet Indices as Predictors of Nephropathy Severity in Type 2 Diabetes Mellitus: A Hospital-Based Cross-Sectional Analysis</title><author>Sengupta, Piyali ; Priyadarshini, Aparajita ; Kumar Behera, Pradip ; Padarabinda Tripathy, Krishna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1775-6982a27a1ee7d8ecf32ef2f7b017e0dcf8bce1f60c5ede314bd9d6ff26757d4e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Atherosclerosis</topic><topic>Blood platelets</topic><topic>Blood tests</topic><topic>Chronic illnesses</topic><topic>Diabetes</topic><topic>Diabetic nephropathy</topic><topic>Endocrinology/Diabetes/Metabolism</topic><topic>Females</topic><topic>Hemoglobin</topic><topic>Hospitals</topic><topic>Hyperglycemia</topic><topic>Hypertension</topic><topic>Internal Medicine</topic><topic>Kidney diseases</topic><topic>Metabolism</topic><topic>Morbidity</topic><topic>Mortality</topic><topic>Nephrology</topic><topic>Population</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sengupta, Piyali</creatorcontrib><creatorcontrib>Priyadarshini, Aparajita</creatorcontrib><creatorcontrib>Kumar Behera, Pradip</creatorcontrib><creatorcontrib>Padarabinda Tripathy, Krishna</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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 Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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>Publicly Available Content 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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Curēus (Palo Alto, CA)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sengupta, Piyali</au><au>Priyadarshini, Aparajita</au><au>Kumar Behera, Pradip</au><au>Padarabinda Tripathy, Krishna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring Platelet Indices as Predictors of Nephropathy Severity in Type 2 Diabetes Mellitus: A Hospital-Based Cross-Sectional Analysis</atitle><jtitle>Curēus (Palo Alto, CA)</jtitle><addtitle>Cureus</addtitle><date>2024-10-18</date><risdate>2024</risdate><volume>16</volume><issue>10</issue><spage>e71796</spage><pages>e71796-</pages><issn>2168-8184</issn><eissn>2168-8184</eissn><abstract>Background Increased platelet activity in type 2 diabetes mellitus (T2DM) plays a key role in the development of vascular complications. Platelet indices such as mean platelet volume (MPV), platelet distribution width (PDW), platelet large cell ratio (PLCR), and plateletcrit (PCT) reflect both the functional and morphological status of platelets. These indices are markers of inflammation and metabolic dysregulation, which are pivotal in diabetic vasculopathy. If platelet indices correlate with nephropathy severity, they could be used as cost-effective, accessible markers for assessing disease progression in T2DM. Materials and methods This cross-sectional study was conducted at Kalinga Institute of Medical Sciences (KIMS), Bhubaneswar, India, from September 2019 to August 2021. A total of 203 patients with T2DM and nephropathy were included, diagnosed per American Diabetes Association 2017 criteria and staged using Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. Nephropathy was assessed using the albumin-to-creatinine ratio, and the glomerular filtration rate (GFR) was calculated using the Modification of Diet in Renal Disease (MDRD) formula. Venous blood samples were collected to measure platelet indices using the SYSMEX XN-1000 automated analyzer (Sysmex Corporation, Kobe, Japan). Statistical analysis was conducted using Statistical Package for the Social Sciences (IBM SPSS Statistics for Windows, IBM Corp., Version 24.0, Armonk, NY), with a comparison of MPV, PDW, PCT, and PLCR across nephropathy stages performed via the Kruskal-Wallis test. Pairwise comparisons were made using the Mann-Whitney test, with a significance level set at p < 0.05. Results The study population had a mean age of 61.7 ± 12.0 years, with 62.1% over 60 years and a male-to-female ratio of 1.5:1. The average diabetes duration was 8.0 ± 5.2 years. The mean platelet count was 236.4 ± 112.6, and the mean values for MPV, PDW, PCT, and PLCR were 11.4 ± 1.7, 15.2 ± 3.8, 0.28 ± 0.11, and 38.9 ± 11.8, respectively. Most patients (63.1%) were in the early stages of nephropathy (stages 1-3). Significant differences in platelet indices were observed across nephropathy stages, with Kruskal-Wallis p-values of 0.027, 0.009, 0.001, and 0.007 for MPV, PDW, PCT, and PLCR, respectively. Pairwise comparisons showed that platelet indices were significantly elevated in advanced nephropathy stages (stages 4 and 5) compared to early stages (stages 1 and 2) with p < 0.05. Conclusion There is a significant correlation between platelet indices and the severity of nephropathy in T2DM patients. MPV, PDW, PCT, and PLCR all increase in advanced stages of nephropathy, suggesting these indices can be used as surrogate markers for assessing disease progression. Their ease of measurement and cost-effectiveness make them valuable tools in monitoring diabetic nephropathy, offering a simpler and more cost-effective alternative for monitoring disease progression.</abstract><cop>United States</cop><pub>Cureus Inc</pub><pmid>39553031</pmid><doi>10.7759/cureus.71796</doi><oa>free_for_read</oa></addata></record> |
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subjects | Atherosclerosis Blood platelets Blood tests Chronic illnesses Diabetes Diabetic nephropathy Endocrinology/Diabetes/Metabolism Females Hemoglobin Hospitals Hyperglycemia Hypertension Internal Medicine Kidney diseases Metabolism Morbidity Mortality Nephrology Population |
title | Exploring Platelet Indices as Predictors of Nephropathy Severity in Type 2 Diabetes Mellitus: A Hospital-Based Cross-Sectional Analysis |
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