Published May 30, 2024 | Version https://impactfactor.org/PDF/IJPCR/16/IJPCR,Vol16,Issue5,Article179.pdf
Journal article Open

Risk Factors and Predictors of Mortality in Chronic Kidney Disease Patients in a Rural Tertiary Care Hospital

  • 1. Associate Professor, Department of General Medicine, Viswabharathi Medical College, Penchikalapadu, Kurnool, Andhra Pradesh
  • 2. Assistant Professor, Department of Pediatrics, Viswabharathi Medical College, Penchikalapadu, Kurnool, Andhra Pradesh
  • 3. Associate Professor, Department of Pediatrics, Viswabharathi Medical College, Penchikalapadu, Kurnool, Andhra Pradesh

Description

Background: An increase in the prevalence of Chronic Kidney Disease (CKD) was observed in the recent times. Regression analysis of risk factors and predictive factors of mortality in CKD patients in a community helps the physicians to be on the alert. Aim of the Study: To study and evaluate the risk factors and predictive factors in the course of treating CKD patients for their accuracy using the area under the receiver operating characteristic (ROC) curve (AUC) analysis. Methods47 non-transplant CKD patients at all stages of severity of both genders were included and the risk factors like. The Predictive factors for mortality were presented with AUC analysis and its associated 95% confidence interval (CI). AUC of 0.70-0.79 is considered acceptable, 0.80-0.89 is considered excellent, and more than 0.90 is considered outstanding. Results & Conclusions: In view of the rapid increase in mortality of CKD patients due to development of Heart Failure worldwide an intense screening laboratory investigations such as BNPs, LAsR, E GFR, C reactive protein and UCPR are necessary which have a bearing on the mechanism of causing HF. These predictive factors are highly sensitive and caution the treating physician to take appropriate mode of treatment.

 

 

Abstract (English)

Background: An increase in the prevalence of Chronic Kidney Disease (CKD) was observed in the recent times. Regression analysis of risk factors and predictive factors of mortality in CKD patients in a community helps the physicians to be on the alert. Aim of the Study: To study and evaluate the risk factors and predictive factors in the course of treating CKD patients for their accuracy using the area under the receiver operating characteristic (ROC) curve (AUC) analysis. Methods47 non-transplant CKD patients at all stages of severity of both genders were included and the risk factors like. The Predictive factors for mortality were presented with AUC analysis and its associated 95% confidence interval (CI). AUC of 0.70-0.79 is considered acceptable, 0.80-0.89 is considered excellent, and more than 0.90 is considered outstanding. Results & Conclusions: In view of the rapid increase in mortality of CKD patients due to development of Heart Failure worldwide an intense screening laboratory investigations such as BNPs, LAsR, E GFR, C reactive protein and UCPR are necessary which have a bearing on the mechanism of causing HF. These predictive factors are highly sensitive and caution the treating physician to take appropriate mode of treatment.

 

 

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Dates

Accepted
2024-04-26

References

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