Platelet-to-albumin ratio is a potential biomarker for predicting diabetic nephropathy in patients with type 2 diabetes
Aim: To evaluate whether platelet-to-albumin ratio (PAR) can predict diabetic nephropathy (DN) in type 2 diabetes mellitus (T2DM). Materials & methods: A total of 140 patients with T2DM and 40 healthy individuals were enrolled retrospectively. T2DM patients were divided into three groups based on the urinary albumin-to-creatinine ratio, PAR was compared and receiver operating characteristic curve was constructed to evaluate the predictive value of PAR in DN in T2DM. Results: There was a significant increase of PAR in DN among T2DM patients and PAR was positively correlated with serum creatinine, retinol-conjugated protein and β2-microglobulin. Moreover, PAR was a risk factor for DN in T2DM patients, which predicted DN in T2DM with high sensitivity and specificity. Conclusion: PAR can be a potential candidate to predict DN in T2DM.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:17 |
|---|---|
| Enthalten in: |
Biomarkers in medicine - 17(2023), 20 vom: 26. Okt., Seite 841-848 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Cao, Shi-Lu [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Albumins |
|---|
| Anmerkungen: |
Date Completed 18.01.2024 Date Revised 28.02.2024 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.2217/bmm-2023-0527 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM366709526 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM366709526 | ||
| 003 | DE-627 | ||
| 005 | 20240229234713.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240108s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.2217/bmm-2023-0527 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1311.xml |
| 035 | |a (DE-627)NLM366709526 | ||
| 035 | |a (NLM)38180339 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Cao, Shi-Lu |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Platelet-to-albumin ratio is a potential biomarker for predicting diabetic nephropathy in patients with type 2 diabetes |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 18.01.2024 | ||
| 500 | |a Date Revised 28.02.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Aim: To evaluate whether platelet-to-albumin ratio (PAR) can predict diabetic nephropathy (DN) in type 2 diabetes mellitus (T2DM). Materials & methods: A total of 140 patients with T2DM and 40 healthy individuals were enrolled retrospectively. T2DM patients were divided into three groups based on the urinary albumin-to-creatinine ratio, PAR was compared and receiver operating characteristic curve was constructed to evaluate the predictive value of PAR in DN in T2DM. Results: There was a significant increase of PAR in DN among T2DM patients and PAR was positively correlated with serum creatinine, retinol-conjugated protein and β2-microglobulin. Moreover, PAR was a risk factor for DN in T2DM patients, which predicted DN in T2DM with high sensitivity and specificity. Conclusion: PAR can be a potential candidate to predict DN in T2DM | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a diabetic nephropathy | |
| 650 | 4 | |a platelet-to-albumin ratio | |
| 650 | 4 | |a predictor | |
| 650 | 4 | |a type 2 diabetes mellitus | |
| 650 | 7 | |a Biomarkers |2 NLM | |
| 650 | 7 | |a Albumins |2 NLM | |
| 700 | 1 | |a Zhang, Guo-Qing |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Jing |e verfasserin |4 aut | |
| 700 | 1 | |a Bao, Li |e verfasserin |4 aut | |
| 700 | 1 | |a Lan, Xiao-Mei |e verfasserin |4 aut | |
| 700 | 1 | |a Jin, Quan-Peng |e verfasserin |4 aut | |
| 700 | 1 | |a Luo, Hong-Yan |e verfasserin |4 aut | |
| 700 | 1 | |a E, Jing |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Bo |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Danna |e verfasserin |4 aut | |
| 700 | 1 | |a Bao, Xi |e verfasserin |4 aut | |
| 700 | 1 | |a Zheng, Ya-Li |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Biomarkers in medicine |d 2007 |g 17(2023), 20 vom: 26. Okt., Seite 841-848 |w (DE-627)NLM184946271 |x 1752-0371 |7 nnns |
| 773 | 1 | 8 | |g volume:17 |g year:2023 |g number:20 |g day:26 |g month:10 |g pages:841-848 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.2217/bmm-2023-0527 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 17 |j 2023 |e 20 |b 26 |c 10 |h 841-848 | ||