scholarly journals Correlation of Indoleamine-2,3-Dioxygenase and Chronic Kidney Disease: A Pilot Study

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Binbin Pan ◽  
Feng Zhang ◽  
Jian Sun ◽  
Dawei Chen ◽  
Wenjuan Huang ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Logistic Regression ◽  
Risk Factor ◽  
Pilot Study ◽  
Kidney Disease ◽  
Serum Creatinine ◽  
Roc Curve ◽  
Independent Risk Factor ◽  
Binary Logistic Regression ◽  
Indoleamine 2,3 Dioxygenase

Objective. To explore the correlation of indoleamine-2,3-dioxygenase (IDO) and chronic kidney disease (CKD). Methods. A total of 154 CKD patients and 42 non-CKD patients were recruited. Patients were grouped into ACR1~ACR3 (<30 mg/g, 30-300 mg/g, and >300 mg/g). Biomarkers in different groups were compared by ANOVA. Correlation was calculated by Pearson or Spearman analysis and binary logistic regression. The ROC curve was also performed. Results. The levels of albumin, serum creatinine (sCr), and IDO in non-CKD patients were significantly different from those in CKD3-CKD5 stages ( p < 0.05 ). IDO was correlated with age, proteinuria, ACR, and eGFR ( p < 0.01 ). After adjusting for CKD-related indices, ln(IDO) was an independent risk factor for CKD (3.48, p < 0.05 ). The analysis of ROC curve revealed a best cut­off for IDO was 0.0466 and yielded a sensitivity of 83.8% and a specificity of 75%. Hemoglobin, total protein, and albumin in the ACR1 group were significantly higher than those in the ACR2 and ACR3 groups ( p < 0.01 ), while sCr and IDO levels were significantly lower than those in the ACR2 and ACR3 groups ( p < 0.01 or p < 0.05 ). After adjusting for CKD-related indices, ln(IDO) was still an independent risk factor for ACR ( OR = 2.7 , p < 0.05 ). The analysis of ROC curve revealed a best cut­off for IDO was 0.075 and yielded a sensitivity of 71.9% and a specificity of 72.2%. Conclusion. IDO may be a promising biomarker to predict CKD and assess kidney function.

Specific diseases: renal disease

ESC CardioMed ◽  
2018 ◽  
pp. 2670-2673
Author(s):  
Susanna Price
Keyword(s):  
Cardiovascular Disease ◽  
Chronic Kidney Disease ◽  
Acute Kidney Injury ◽  
Risk Factor ◽  
Kidney Disease ◽  
Renal Disease ◽  
Independent Risk Factor ◽  
Hospital Admissions ◽  
Kidney Injury ◽  
Potential Methods

Chronic kidney disease is a global health burden, with an estimated prevalence of 11–13%, with the majority of patients diagnosed as stage 3, and is an independent risk factor for cardiovascular disease. The incidence of acute kidney injury is increasing, and estimated to be present in one in five acute hospital admissions, and there is a bidirectional relationship between acute and chronic kidney disease. The relevance to the patient with cardiovascular disease relates to increased perioperative risk, as reduced kidney function is an independent risk factor for adverse postoperative cardiovascular outcomes including myocardial infarction, stroke, and progression of heart failure. Furthermore, patients undergoing cardiovascular investigations are at risk of developing acute kidney injury, in particular where iodinated contrast is administered. This chapter reviews the classification of renal disease and its impact on cardiovascular disease, as well as potential methods for reducing the development of contrast-induced acute kidney injury.

Proteinuria

2020 ◽  
Vol 13 (3) ◽  
pp. 152-158
Author(s):  
Lauren Copeland ◽  
Keith Gillis
Keyword(s):  
Primary Care ◽  
Chronic Kidney Disease ◽  
Risk Factor ◽  
Kidney Disease ◽  
Early Detection ◽  
Renal Disease ◽  
Independent Risk Factor ◽  
Prognostic Significance ◽  
Urinary Protein ◽  
Progression Of Renal Disease

Measurement of urinary protein is an essential part of the evaluation of chronic kidney disease; it has both diagnostic and prognostic significance. Proteinuria is an independent risk factor for progression of renal disease, but is also independently associated with increased cardiovascular mortality. Despite its far-reaching implications, the definition, diagnosis and treatment of proteinuria can cause confusion in primary care. Early detection of proteinuria in the context of diabetes or otherwise is vital given the potential for intervention to reduce urinary protein losses and improve renal and cardiovascular outcomes. This article will focus on the definition, potential causes and management of proteinuria, including which individuals should be referred to secondary care.

scholarly journals METABOLIC SYNDROME - AN EMERGING RISK FACTOR FOR CHRONIC KIDNEY DISEASE

2018 ◽  
Vol 11 (6) ◽  
pp. 212
Author(s):  
Ashwini Shenai ◽  
Savitha G
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Risk Factor ◽  
Kidney Disease ◽  
Serum Creatinine ◽  
Healthy Individuals ◽  
Serum Urea ◽  
The Mean

Objective: Metabolic syndrome (MetS) is a common health problem worldwide. According to third national health and nutrition examination survey criteria, about 47 million people have MetS. It is defined as having three or more of the following five risk factors including abdominal obesity, increased triglyceride levels, low-density lipoprotein cholesterol level, elevated blood pressure, and elevated fasting glucose levels. These components of MetS are major risk factors for the development of chronic kidney disease (CKD) also. CKD is a major public problem and it is a major risk factor for the development of cardiovascular disease. Hence, the aim of the current study was to evaluate the association between MetS and CKD.Methods: A total of 50 patients reporting to Saveetha Dental College and Hospitals were enrolled into the study which includes 25 patients with MetS and 25 healthy individuals. 5 mL of venous blood was collected and centrifuged. Then, it is analyzed for fasting blood sugar (FBS), serum triglycerides, serum urea, and creatinine using the standard kit method. The data obtained were subjected to statistical analysis using the SPSS software.Results: The mean body mass index, FBS, serum creatinine, and triglyceride levels were higher in MetS patients in comparison to healthy individuals. The mean body mass index (BMI), FBS, serum urea, serum creatinine, and triglyceride levels in the control group and MetS group were 27.75±3.67, 84.8±12.5, 17.52±5.2, 0.91±0.17, and 96.5±60.13 and 35.14±4.25, 108.8±34.69, 21.4±5.9, 1.0±0.14, and 239.76±51.21, respectively. There was a significant difference in the mean BMI, FBS, urea, creatinine, and triglyceride levels of the above group.Conclusion: Serum urea and creatinine levels were significantly higher in MetS individuals. Hence, MetS could be a one of the risk factors for the development of CKD.

scholarly journals Evaluation of medication adherence and predictors of sub-optimal adherence among pre-dialysis patients with chronic kidney disease

2020 ◽  
Vol 4 ◽  
pp. 239920262095408
Author(s):  
Roland Nnaemeka Okoro ◽  
Ibrahim Ummate ◽  
John David Ohieku ◽  
Sani Ibn Yakubu ◽  
Maxwell Ogochukwu Adibe ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Logistic Regression ◽  
Medication Adherence ◽  
Kidney Disease ◽  
Univariate Analysis ◽  
Binary Logistic Regression ◽  
Regression Analyses ◽  
Dialysis Patients ◽  
Improve Medication Adherence ◽  
Significant Independent Predictor

Background: Multiple medications are required to effectively manage chronic kidney disease (CKD) and associated complications, posing the risk of poor medication adherence. Objectives: To measure medication adherence levels and to investigate the potential predictors of sub-optimal medication adherence in pre-dialysis patients with CKD. Methods: A prospective study was conducted in the medical and nephrology outpatients’ clinics in Maiduguri. Non-dialysis patients with CKD stages 1–4 aged 18 years and above were recruited through their physicians. The level of medication adherence was determined using Morisky Medication Adherence Scale. Descriptive statistics were used to summarize patients’ background characteristics. Multivariate binary logistic regression analyses were performed to investigate the significantly potential predictors of sub-optimal medication adherence at a p < 0.05. Results: There were 107 participants (48.6%) who had high medication adherence, while 97 (44.1%), and 16 (7.3%) of them had moderate adherence, and low adherence, respectively. The univariate analysis revealed that medication adherence level differed significantly with the number of medications taken daily by patients ( p < 0.05). Multivariate logistic regression analyses did not reveal a significant independent predictor of sub-optimal medication adherence. Conclusion: A majority of the participants reported sub-optimal medication adherence. The independent variables considered did not significantly predict sub-optimal medication adherence in the study population. Nevertheless, the study findings highlight the importance of clinical pharmacists’ CKD management supportive care to help improve medication adherence.

scholarly journals Albuminuria is an independent risk factor of T4 elevation in chronic kidney disease

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Xin Du ◽  
Binbin Pan ◽  
Wenwen Li ◽  
Yonghua Zou ◽  
Xi Hua ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Risk Factor ◽  
Kidney Disease ◽  
Independent Risk Factor

scholarly journals Predictive value of three Inflammation-based Glasgow Prognostic Scores for major cardiovascular adverse events in patients with acute myocardial infarction during hospitalization: a retrospective study

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9068
Author(s):  
Houyong Zhu ◽  
Zhaodong Li ◽  
Xiaoqun Xu ◽  
Xiaojiang Fang ◽  
Tielong Chen ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Logistic Regression ◽  
Risk Factor ◽  
Roc Curve ◽  
Predictive Value ◽  
Independent Risk Factor ◽  
Prognostic Scores ◽  
All Cause Mortality ◽  
Grace Score

Aim Inflammation-based Glasgow Prognostic Scores (GPS) have been reported to predict the prognosis of patients with acute ST-elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI). The goal of this study was to investigate whether three kinds of GPSs can effectively predict major cardiovascular adverse events (MACEs) in STEMI or non-ST-segment elevation myocardial infarction (NSTEMI) patients undergoing PPCI, elective PCI (EPCI) or conservative drug therapy during hospitalization. Methods In this retrospective cohort study, patients with acute myocardial infarction (AMI) were divided into 0, 1 or 2 score according to the GPSs. Logistic regression and receiver operating characteristic (ROC) curve analysis were performed to assess the predictive value of GPSs for MACE and all-cause mortality during hospitalization. Three kinds of GPSs, Inflammation-based Glasgow Prognostic Score (GPS), modified GPS (MGPS) and high-sensitivity CRP-modified GPS (HS-MGPS) and Global Registry of Acute Coronary Events (GRACE) score were applied in this study. Results A total of 188 patients were enrolled. The ROC curve with MACE showed that the AUC of GPS (0.820 (95% confidence interval (CI) [0.754–0.885]), P < 0.001) was larger than that of MGPS (0.789 (95% CI [0.715–0.863]), P < 0.001), HS-MGPS (0.787 (95% CI [0.717–0.856]), P < 0.001) and GRACE score (0.743 (95% CI [0.672–0.814]), P < 0.001). The ROC curve with all-cause mortality showed that the AUC of GPS (0.696 (95% CI [0.561–0.831]), P = 0.005) was similar to the HS-MGPS (0.698 (95% CI [0.569–0.826]), P = 0.005) and higher than the MGPS (0.668 (95% CI [0.525–0.812]), P = 0.016), but lower than the GRACE score (0.812 (95% CI [0.734–0.889]), P < 0.001). Multivariate logistic regression analysis showed that the GPS was an independent risk factor for the incidence of MACE during hospitalization. Compared with the odds ratio (OR) value for a GPS of 0, the OR for a GPS of 1 was 7.173 (95% CI [2.425–21.216]), P < 0.001), and that for a GPS of 2 was 18.636 (95% CI [5.813–59.746]), P < 0.001), but not an independent risk factor for all-cause mortality (P = 0.302). GRACE score was an independent risk factor for MACE (1.019 (95% CI [1.004–1.035]), P = 0.015) and all-cause mortality (1.040 (95% CI [1.017–1.064]), P = 0.001). In the subgroups classified according to the type of AMI, the presence of disease interference GPSs and the type of PCI, the ability of GPS to predict the occurrence of MACE seemed to be greater than that of MGPS and HS-MGPS. Conclusion The GPS has a good predictive value for the occurrence of MACE during hospitalization in patients with AMI, regardless of STEMI or NSTEMI, the choice of PCI mode and the presence or absence of diseases that interfere with GPS. However, GPS is less predictive of all-cause mortality during hospitalization than GRACE score, which may be due to the interference of patients with other diseases.

scholarly journals An Emerging Translational Model to Screen Potential Medicinal Plants for Nephrolithiasis, an Independent Risk Factor for Chronic Kidney Disease

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
San-Yuan Wu ◽  
Jui-Lung Shen ◽  
Kee-Ming Man ◽  
Yuan-Ju Lee ◽  
Huey-Yi Chen ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Risk Factor ◽  
Kidney Disease ◽  
Medicinal Plants ◽  
Independent Risk Factor ◽  
Formation Rate ◽  
Screening Methods ◽  
Crystal Formation ◽  
Herbal Drugs ◽  
Translational Model

Pharmacological therapy for urolithiasis using medicinal plants has been increasingly adopted for the prevention of its recurrence. ADrosophila melanogastermodel developed for translational research of urolithiasis was applied to evaluate agents with potential antilithic effects and calcium oxalate (CaOx) formation. Potential antilithic herbs were prepared in a mixture of food in a diluted concentration of 5,000 from the original extract with 0.5% ethylene glycol (EG) as the lithogenic agent. The control group was fed with food only. After 3 weeks, flies (n≥150for each group) were killed using CO2narcotization, and the Malpighian tubules were dissected, removed, and processed for polarized light microscopy examination of the crystals. The crystal formation rate in the EG group was 100.0%. In the study, 16 tested herbal drugs reached the crystal formation rate of 0.0%, includingSalviae miltiorrhizae,Paeonia lactiflora, andCarthami flos.Scutellaria baicalensisenhanced CaOx crystal formation. Two herbal drugsCommiphora molmolandNatrii sulfascaused the death of all flies. Our rapid screening methods provided evidence that some medicinal plants have potential antilithic effects. These useful medicinal plants can be further studied using other animal or human models to verify their effects.Corrigendum to “An Emerging Translational Model to Screen Potential Medicinal Plants for Nephrolithiasis, an Independent Risk Factor for Chronic Kidney Disease”

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