<abstract xmlns="http://www.w3.org/1999/xhtml">

This comes about because of a lack of predicted biomarkers in the risk analysis of CVD events in chronic kidney disease (CKD) patients. The present study aimed to determine the clinical utility of independent, predictable biomarkers such as serum creatinine, estimated Glomerular Filtration Rate (eGFR), high sensitive C-Reactive protein (hsCRP), fibrinogen and lipid profile as early predictors of CVD in CKD at stage III/IV.
<bold>Methods.</bold> This is a case-control study that includes a sample size of 100 patients of cases and 100 patients of controls who were recruited from November 2020 to April 2021, from the Nephrology department of the Visakhapatnam tertiary care teaching hospital, and present with chronic kidney disease – stage III/IV. The subjects’ general conditions (age, gender, height, weight, systolic blood pressure, diastolic blood pressure, and smoking history); underlying diseases (coronary heart disease and diabetes mellitus) were recorded. Fasting venous blood samples were collected under aseptic conditions from the study group after taking informed consent. The measurement of serum creatinine was performed by modification of kinetic Jaffe reaction. The Cockcroft-Gault equation was used to calculate eGFR in both cases and controls. CRP testing was done with a Cobas C311 analyzer, using immunoturbidimetric assay. The Fibroquant kit from Tulip was employed to measure fibrinogen levels in blood samples, and enzymatic methods were applied for lipid profile analysis.
<bold>Results.</bold> In this study, higher mean values of hsCRP (34.28 mg/dl), increased serum creatinine levels (2.876 mg/dl), reduced eGFR (28.37 mls/min), high levels of serum fibrinogen (291.6 mg/dl), and cholesterol (214.5 mg/dl), HDL (28.34 mg/dl), TG (162.1 mg/dl), VLDL (32.41 mg/dl) and LDL (153.77 mg/dl) were found to be independent predictors of assessment of CV events in patients with CKD stages III and IV as determined by Chi-square test.
<bold>Conclusion.</bold> A prompt and accurate assessment of cardiovascular risk in CKD patients would enable more aggressive and focused treatment of the individuals who are most in need of preventive interventions to decrease incident rates.
</abstract>

This comes about because of a lack of predicted biomarkers in the risk analysis of CVD events in chronic kidney disease (CKD) patients. The present study aimed to determine the clinical utility of independent, predictable biomarkers such as serum creatinine, estimated Glomerular Filtration Rate (eGFR), high sensitive C-Reactive protein (hsCRP), fibrinogen and lipid profile as early predictors of CVD in CKD at stage III/IV.
Methods. This is a case-control study that includes a sample size of 100 patients of cases and 100 patients of controls who were recruited from November 2020 to April 2021, from the Nephrology department of the Visakhapatnam tertiary care teaching hospital, and present with chronic kidney disease – stage III/IV. The subjects’ general conditions (age, gender, height, weight, systolic blood pressure, diastolic blood pressure, and smoking history); underlying diseases (coronary heart disease and diabetes mellitus) were recorded. Fasting venous blood samples were collected under aseptic conditions from the study group after taking informed consent. The measurement of serum creatinine was performed by modification of kinetic Jaffe reaction. The Cockcroft-Gault equation was used to calculate eGFR in both cases and controls. CRP testing was done with a Cobas C311 analyzer, using immunoturbidimetric assay. The Fibroquant kit from Tulip was employed to measure fibrinogen levels in blood samples, and enzymatic methods were applied for lipid profile analysis.
Results. In this study, higher mean values of hsCRP (34.28 mg/dl), increased serum creatinine levels (2.876 mg/dl), reduced eGFR (28.37 mls/min), high levels of serum fibrinogen (291.6 mg/dl), and cholesterol (214.5 mg/dl), HDL (28.34 mg/dl), TG (162.1 mg/dl), VLDL (32.41 mg/dl) and LDL (153.77 mg/dl) were found to be independent predictors of assessment of CV events in patients with CKD stages III and IV as determined by Chi-square test.
Conclusion. A prompt and accurate assessment of cardiovascular risk in CKD patients would enable more aggressive and focused treatment of the individuals who are most in need of preventive interventions to decrease incident rates.

Role of predictable biomarkers in early detection of cardiovascular events in Chronic Kidney Disease III and IV

GITAM Institute of Medical Sciences and Research, GITAM Deemed to be University

Cancer Biology Lab, Department of Biochemistry and Bioinformatics

Department of OBG, GITAM Institute of Medical Sciences and Research

Department of Biochemistry, GITAM Institute of Medical Sciences and Research

Current Issues in Pharmacy and Medical Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This comes about because of a lack of predicted biomarkers in the risk analysis of CVD events in chronic kidney disease (CKD) patients. The present study aimed...

Role of predictable biomarkers in early detection of cardiovascular events in Chronic Kidney Disease III and IV

Pubblicato online: 27 ott 2022

Pagine: 99 - 105

Ricevuto: 12 dic 2021

Accettato: 08 feb 2022

DOI: https://doi.org/10.2478/cipms-2022-0019

Parole chiave
biomarkers, cardiovascular disease, chronic kidney disease, C-reactive protein, eGFR, serum creatinine

© 2022 Bhamidipaty Kanaka Durgaprasad et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Role of predictable biomarkers in early detection of cardiovascular events in Chronic Kidney Disease III and IV

Pubblicato online: 27 ott 2022

Pagine: 99 - 105

Ricevuto: 12 dic 2021

Accettato: 08 feb 2022

DOI: https://doi.org/10.2478/cipms-2022-0019

Parole chiavebiomarkers, cardiovascular disease, chronic kidney disease, C-reactive protein, eGFR, serum creatinine

© 2022 Bhamidipaty Kanaka Durgaprasad et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
biomarkers, cardiovascular disease, chronic kidney disease, C-reactive protein, eGFR, serum creatinine