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  • 1
    Online Resource
    Online Resource
    The Association between Serum Hemoglobin and Renal Prognosis of IgA Nephropathy
    MDPI AG ; 2021
    In:  Journal of Clinical Medicine Vol. 10, No. 2 ( 2021-01-19), p. 363-
    Details
    In: Journal of Clinical Medicine, MDPI AG, Vol. 10, No. 2 ( 2021-01-19), p. 363-
    Abstract: Immunoglobin A (IgA) nephropathy causes chronic kidney disease worldwide. Therefore, identifying risk factors associated with the progression of IgA nephropathy is crucial. Anemia is a common complication of chronic kidney disease; however, few studies have investigated the effect of serum hemoglobin on the renal prognosis of IgA nephropathy. This study aimed to determine the effect of serum hemoglobin on the progression of IgA nephropathy. We retrospectively analyzed 4326 patients with biopsy-proven IgA nephropathy. We evaluated the effect of serum hemoglobin on IgA nephropathy progression using Kaplan–Meier survival analyses, the log-rank test, and the Cox proportional hazards model. The primary end-point was progression of IgA nephropathy, defined as dialysis initiation or kidney transplantation. Serum hemoglobin showed a nonlinear relationship with the progression of IgA nephropathy. The Cox proportional hazards model showed that the risk of progression of IgA nephropathy decreased 0.87 times for every 1.0 g/dL increase in serum hemoglobin. In subgroup analyses, reduced serum hemoglobin was an independent risk factor for IgA nephropathy progression only in women. There was no statistically significant interaction of serum hemoglobin between men and women (Pinteraction = 0.177). Results of Sensitivity analysis were robust and consistent. Serum hemoglobin at diagnosis was an independent predictor for IgA nephropathy progression.
    Type of Medium: Online Resource
    ISSN: 2077-0383
    URL: Article
    DOI: 10.3390/jcm10020363
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2662592-1
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  • 2
    Online Resource
    Online Resource
    Proteinuria and Psoriasis Risk: A Nationwide Population-Based Study
    MDPI AG ; 2021
    In:  Journal of Clinical Medicine Vol. 10, No. 11 ( 2021-05-27), p. 2356-
    Details
    In: Journal of Clinical Medicine, MDPI AG, Vol. 10, No. 11 ( 2021-05-27), p. 2356-
    Abstract: Psoriasis, a chronic inflammatory dermatosis, has been associated with chronic kidney disease or end-stage renal disease. However, the association of the changes or amount of proteinuria with psoriasis development has not been evaluated. Using the Korean National Health Screening database, we assessed psoriasis development until 2018 in 6,576,851 Koreans who underwent health examinations in 2009 and 2011. Psoriasis was defined using the International Classification of Diseases, 10th revision (ICD-10) code L40. The risk of psoriasis was evaluated according to change in proteinuria (never [Neg (no proteinuria)/Neg] , new [Neg/Pos (proteinuria present)], past [Pos/Neg] and persistent [Pos/Pos] proteinuria) and the proteinuria amount. During a median 7.23-year follow-up, 162,468 (2.47%) individuals developed psoriasis. After adjustments, the hazard ratio (HR) for psoriasis was higher in the persistent proteinuria group (1.32 [1.24–1.40] ) than in the never proteinuria group. The past proteinuria group showed better renal outcome (1.03 [1.00–1.07]) than the new (1.05 [1.01–1.07] ) and never proteinuria (reference, 1.00) groups did. The amount of random urine proteinuria was associated with increased HR for psoriasis. Subgroup analyses for age, sex, estimated glomerular filtration rate (eGFR), hypertension and diabetes showed that the persistent proteinuria group had a higher risk of psoriasis than the never proteinuria group, especially at eGFR 〈 60 mL/min/1.73 m2. Persistent proteinuria is associated with psoriasis risk, and the proteinuria amount significantly affects psoriasis development.
    Type of Medium: Online Resource
    ISSN: 2077-0383
    URL: Article
    DOI: 10.3390/jcm10112356
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2662592-1
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  • 3
    Online Resource
    Online Resource
    Predictive Model for High Coronary Artery Calcium Score in Young Patients with Non-Dialysis Chronic Kidney Disease
    MDPI AG ; 2021
    In:  Journal of Personalized Medicine Vol. 11, No. 12 ( 2021-12-15), p. 1372-
    Details
    In: Journal of Personalized Medicine, MDPI AG, Vol. 11, No. 12 ( 2021-12-15), p. 1372-
    Abstract: Cardiovascular disease is a major complication of chronic kidney disease. The coronary artery calcium (CAC) score is a surrogate marker for the risk of coronary artery disease. The purpose of this study is to predict outcomes for non-dialysis chronic kidney disease patients under the age of 60 with high CAC scores using machine learning techniques. We developed the predictive models with a chronic kidney disease representative cohort, the Korean Cohort Study for Outcomes in Patients with Chronic Kidney Disease (KNOW-CKD). We divided the cohort into a training dataset (70%) and a validation dataset (30%). The test dataset incorporated an external dataset of patients that were not included in the KNOW-CKD cohort. Support vector machine, random forest, XGboost, logistic regression, and multi-perceptron neural network models were used in the predictive models. We evaluated the model’s performance using the area under the receiver operating characteristic (AUROC) curve. Shapley additive explanation values were applied to select the important features. The random forest model showed the best predictive performance (AUROC 0.87) and there was a statistically significant difference between the traditional logistic regression model and the test dataset. This study will help identify patients at high risk of cardiovascular complications in young chronic kidney disease and establish individualized treatment strategies.
    Type of Medium: Online Resource
    ISSN: 2075-4426
    URL: Article
    DOI: 10.3390/jpm11121372
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2662248-8
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  • 4
    Online Resource
    Online Resource
    Association of Urinary Potassium Excretion with Blood Pressure Variability and Cardiovascular Outcomes in Patients with Pre-Dialysis Chronic Kidney Disease
    MDPI AG ; 2021
    In:  Nutrients Vol. 13, No. 12 ( 2021-12-13), p. 4443-
    Details
    In: Nutrients, MDPI AG, Vol. 13, No. 12 ( 2021-12-13), p. 4443-
    Abstract: Dietary potassium intake is a dilemma in patients with chronic kidney disease (CKD). We investigated the association of urine potassium excretion, a surrogate for dietary potassium intake, with blood pressure variability (BPV) and cardiovascular (CV) outcomes in patients with pre-dialysis CKD. A total of 1860 participants from a cohort of pre-dialysis CKD (KNOW-CKD) patients were divided into the quartiles by spot urine potassium-to-creatinine ratio. The first quartile (26.423 ± 5.731 mmol/gCr) was defined as low urine potassium excretion. Multivariate linear regression analyses revealed an independent association of low urine potassium excretion with high BPV (adjusted β coefficient 1.163, 95% confidence interval 0.424 to 1.901). Cox regression analyses demonstrated that, compared to high urine potassium excretion, low urine potassium excretion is associated with increased risk of CV events (adjusted hazard ratio 2.502, 95% confidence interval 1.162 to 5.387) but not with all-cause mortality. In conclusion, low urine potassium excretion is associated with high BPV and increased risk of CV events in patients with pre-dialysis CKD. The restriction of dietary potassium intake should be individualized in patients with pre-dialysis CKD.
    Type of Medium: Online Resource
    ISSN: 2072-6643
    URL: Article
    DOI: 10.3390/nu13124443
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2518386-2
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