A Matrix Metalloproteinase-2-Based Nomogram to Assess the Risk of Encapsulating Peritoneal Sclerosis in Peritoneal Dialysis Patients
| Autor: | Jin Bor Chen, Chin Chung Tseng, Che-Yi Chou, Chin-Chuan Hung, Chiu-Ching Huang |
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| Rok vydání: | 2021 |
| Předmět: |
Male
Encapsulating Peritoneal Sclerosis medicine.medical_specialty Article Subject medicine.medical_treatment 030232 urology & nephrology Urology Logistic regression General Biochemistry Genetics and Molecular Biology Peritoneal dialysis 03 medical and health sciences 0302 clinical medicine medicine Humans 030212 general & internal medicine Aged General Immunology and Microbiology business.industry Case-control study Peritoneal Fibrosis General Medicine Middle Aged Nomogram Nomograms Area Under Curve Case-Control Studies Potential biomarkers Medicine Matrix Metalloproteinase 2 Biomarker (medicine) Female business Complication Peritoneal Dialysis Biomarkers Research Article |
| Zdroj: | BioMed Research International BioMed Research International, Vol 2021 (2021) |
| ISSN: | 2314-6141 2314-6133 |
| Popis: | Background. Encapsulating peritoneal sclerosis (EPS) is a rare but serious complication of peritoneal dialysis (PD). So far, there is no biomarker-based prediction tool available for EPS. Matrix metalloproteinase-2 (MMP-2) is a protein involved in the breakdown of the extracellular matrix, and the effluent MMP-2 can be a potential biomarker of EPS. This study is aimed at developing a nomogram for EPS based on effluent MMP-2 levels. Patients and Methods. We enrolled 18 EPS patients and 90 gender-matched PD patients without EPS in this cross-sectional case-controlled study. The effluent MMP-2 levels and possible risk factors for EPS were analyzed using multivariable logistic regression, and a nomogram was developed. The nomogram was validated using 200 bootstrap resamples to reduce overfit bias. Results. The effluent MMP-2 levels in EPS patients were significantly higher than those in normal PD patients (p<0.001, Manny-WhitneyUtest). Effluent MMP-2 levels and PD duration were independently associated with EPS risks (p<0.001andp=0.001) in multivariate logistic regression. A nomogram based on MMP-2 levels and PD duration was proposed. The AUC of MMP-2 was 0.824, and the AUC of the nomogram was 0.907 (p=0.05). Conclusion. A nomogram based on effluent MMP-2 levels and PD duration may predict EPS with high accuracy. |
| Databáze: | OpenAIRE |
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