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Chronic Kidney Disease: Prediction and Recognition

Obrador, Mahdavi-Mazdeh, and Collins, in their 2011 research dwelled on the worldwide civic health association dedicated to inspiring the efforts to upsurge the cognizance and acknowledgment of kidney disease, perceive it rapidly, and deliver treatment to avert illness development and reduce expenses.

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This paper shows great evidence of the fact that very few patients with CKD are conscious of their illness, even though considerable proportions had been examined by a doctor in the previous six months (Obrador et al., 2011). Assumed the high commonness and under-appreciation of CKD in several countries, this evidence is significant, and a concentrated determination to universally improve the CKD deterrence appears to be necessary.

Collins, Omar, Shanyinde, and Yu extracted the main evidence that defines characteristics of elaborating a CKD prediction prototype, together with the study proposal, valuable statistics, sample dimensions, and the outcome explanation, risk prognosticator range and coding, absent facts, prototype-development approaches, and characteristics of the performance.

The resulting evidence is significant for the reason that prognostic models for CKD were repeatedly created using unsuitable approaches and were usually incorrectly testified. Using unsuitable approaches can distress the prognostic ability of the prototype, although insufficient reporting delays an impartial assessment of the probable practicality of the model (Collins et al., 2013).

Shroff et al. stated that CKD is a chief aspect donating to cardiovascular (CV) disease and death where patients on dialysis are the most exposed to these risks. The evidence of assessing the CV risk is central not only to recognize possible adjustable risk influences but as well to estimate the outcome of treatments intended to diminish the risk.

The majority of those assessments require practical revision, calibration, and justification for use in kids (Shroff et al., 2012). This article is relevant because our existing knowledge based on prior research and rare medical resources may be well used for preventive approaches to decrease the adaptable risk factors on the initial CKD phases.

The findings of Chow et al. research are important because while precautionary effects have concentrated on the primary recognition and instruction, little is known about the CKD in the local measures. The study assessed the patients’ CKD knowledge as the researchers conducted a review of an appropriate sample of patients from several primary care hubs (Chow et al., 2012). The evidence showed that CKD teaching should be focused on adult patients with a lower education level and a substandard social status.

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In 2014, Garcia, Cintho, and Moro dwelled on the necessity of preventive actions due to the worldwide increasing incidence of CKD. The evidence showed that the incorporation of certain standards into the EHR might simplify the deterrence.

Thus, the current research is relevant for finding that the data reporting and the depiction of this information in the EHR are the complications supporting the development of a standard-based EHR for CKD inhibition. Consequently, this research resulted in the development of an EHR decision-making structure based on the prearranged standards that would improve CKD prevention (Garcia et al., 2014).

Singh, Arya, and Navaratnarajah state that the occurrence of chronic kidney disease in the USA has amplified in the last two decades. The evidence of this research shows that the most important reason why CKD remains inconveniencing the US healthcare organization is that it is underrated by numerous healthcare experts, comparatively owing to the deficiency of common examination guidelines.

The paper reviews the allegations of CKD, together with its epidemiology and financial complications in causes for the US, its risk features cohesions with cardiovascular diseases, present examination guidelines, and probable deterrence approaches for enhancement (Singh et al., 2014). This article is relevant as it stresses the importance of inspiring the primary care medical specialists to take on a bigger role in CKD examination and primary deterrence.

Chronic kidney disease is a serious body malfunction, and it should be carefully approached to provide maximum quality care. The patient should be placed in a noiseless setting, exposed to peaceful activities, and given the ability to rest adequately. One of the key characteristics of proper treatment is to regulate the illness that is producing kidney mutilation. I believe that the primary goal is to communicate effectively with the patient to improve their outcomes. This should be done to evaluate the patient’s prior experiences with discomfort and approaches found either supportive or unsupportive for the former pain mitigation.

The intervention is going to consist of five stages – identification and treatment of the explicit causes of CKD, continuous monitoring of vital signs (E.g., blood pressure, cholesterol level, glucose control), a reassessment of medications, and psychosomatic care, and dialysis. These stages include more activities that are aimed to improve patient outcomes and promote general wellbeing. This intervention is also expected to develop an approach that is based on the existing literature, combining the best evidence. It is also crucial to keep in mind the high occurrence rate of cardiovascular diseases and do regular checkups that would recognize possible decreased cardiac output (E.g., cardiac infrequency, weak peripheral pulse and capillary replenishment period).

References

Chow, W. L., Joshi, V. D., Tin, A. S., Erf, S. V., Lim, J. F., Swah, T. S.,… Kee, T. Y. (2012). Limited Knowledge of Chronic Kidney Disease Among Primary Care Patients – A Cross-sectional Survey. BMC Nephrology, 13(1), 23-48. doi:10.1186/1471-2369-13-54

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Collins, G. S., Omar, O., Shanyinde, M., & Yu, L. (2013). A Systematic Review Finds Prediction Models for Chronic Kidney Disease were Poorly Reported and Often Developed Using Inappropriate Methods. Journal of Clinical Epidemiology, 66(3), 268-277. doi:10.1016/j.jclinepi.2012.06.020

Garcia, D., Cintho, L. M., & Moro, C. M. (2014). Electronic Health Record to Support Chronic Kidney Disease Prevention — Integrating Guidelines and Archetypes. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 1-92. doi:10.1109/bhi.2014.6864337

Obrador, G. T., Mahdavi-Mazdeh, M., & Collins, A. J. (2011). Establishing the Global Kidney Disease Prevention Network (KDPN): A Position Statement from the National Kidney Foundation. American Journal of Kidney Diseases, 57(3), 361-370. doi:10.1053/j.ajkd.2010.12.006

Shroff, R., Dégi, A., Kerti, A., Kis, É, Cseprekál, O., Tory, K.,… Reusz, G. S. (2012). Cardiovascular Risk Assessment in Children with Chronic Kidney Disease. Pediatr Nephrol Pediatric Nephrology, 28(6), 875-884. doi:10.1007/s00467-012-2325-3

Singh, T., Arya, V., & Navaratnarajah, N. (2014). Chronic Kidney Disease and Cardiovascular Disease: A Focus on Primary Care. Cardiovascular & Hematological Disorders-Drug Targets, 14(3), 212-218. doi:10.2174/1871529×14666140401115110.

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StudyCorgi. (2020, October 16). Chronic Kidney Disease: Prediction and Recognition. Retrieved from https://studycorgi.com/chronic-kidney-disease-prediction-and-recognition/

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StudyCorgi. (2020, October 16). Chronic Kidney Disease: Prediction and Recognition. https://studycorgi.com/chronic-kidney-disease-prediction-and-recognition/

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StudyCorgi. "Chronic Kidney Disease: Prediction and Recognition." October 16, 2020. https://studycorgi.com/chronic-kidney-disease-prediction-and-recognition/.

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StudyCorgi. 2020. "Chronic Kidney Disease: Prediction and Recognition." October 16, 2020. https://studycorgi.com/chronic-kidney-disease-prediction-and-recognition/.

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StudyCorgi. (2020) 'Chronic Kidney Disease: Prediction and Recognition'. 16 October.

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