GFR is a key indicator of kidney function, reflecting how well the kidneys filter blood. The most accurate method of measuring GFR involves using exogenous markers such as inulin clearance, which is freely filtered by the glomerulus and neither reabsorbed nor secreted by renal tubules (Levey et al., 2020). However, inulin clearance is time-consuming and not practical for routine clinical use. Instead, creatinine clearance is commonly used, though it has limitations since creatinine undergoes some tubular secretion, leading to an overestimation of GFR. Serum creatinine-based equations, such as the CKD-EPI or MDRD formulas, provide a more practical estimation, adjusting for variables like age, sex, and body surface area (Inker et al., 2021). Another alternative is cystatin C, a protein filtered by the glomerulus, offering a more reliable marker in certain populations, such as children and those with fluctuating muscle mass (Sharma et al., 2022).

     Vesicoureteral reflux is a congenital or acquired condition where urine flows retrograde from the bladder into the ureters due to an incompetent vesicoureteral junction. Normally, the ureter enters the bladder at an oblique angle, forming a functional one-way valve that prevents backflow. In VUR, this angle is disrupted due to congenital abnormalities in the ureter’s insertion or bladder wall, resulting in urine reflux during bladder contraction (Shapiro et al., 2021). VUR increases the risk of urinary tract infections and renal scarring due to recurrent pyelonephritis (infection gets so bad it migrates to the kidney, resulting in kidney infection, which is a more serious infection). Higher-grade VUR can lead to progressive kidney damage and hypertension if untreated. Management varies based on severity, ranging from antibiotic prophylaxis to surgical intervention for persistent or high-grade cases.

References

Inker, L. A., Schmid, C. H., Tighiouart, H., et al. (2021). Estimating glomerular filtration rate using serum creatinine and cystatin C. The New England Journal of Medicine, 385(19), 1737-1749.

Levey, A. S., Stevens, L. A., Schmid, C. H., et al. (2020). A new equation to estimate glomerular filtration rate. Annals of Internal Medicine, 150(9), 604-612.

Sharma, A., Menon, S., Ghosh, A., et al. (2022). Cystatin C-based estimation of glomerular filtration rate in children: A systematic review. Pediatric Nephrology, 37(4), 829-840.

Shapiro, E., Tejwani, R., & Franco, I. (2021). Vesicoureteral reflux in children: Pathophysiology, diagnosis, and management. The Journal of Urology, 206(2), 265-274.

Using online resources, locate three (3) healthcare databases and compare them for the type of information they contain and how it could be used in healthcare? Who owns and maintains these databases and how often they are updated? Are there restrictions to database management techniques and utilization? What are they? Could they be overcome? What kind of organizational knowledge can be created applying the database management techniques you defined? 

The post could be made in a form of a table. 

Respond to a minimum of two of your peers with a substantive comment assessing the listed limitations and their negation strategies. Follow APA formatting, referencing credible evidence.  Only one outside source is allowed. Use the content of this class as the main source of evidence. 

This week you are leaning about the hypothesis testing method in statistics. This process starts out by stating the null and alternative hypotheses. Review the terms in https://lc.gcumedia.com/hlt362v/the-visual-learner/statistics.html, to answer these questions.

Think of a research study that you would like to conduct at your current or future place of employment. In designing your research question, describe the null and alternative hypotheses. What would type I and type II errors look like in this hypothetical situation? Identify if this was a one-tailed or a two-tailed test?

Example: It is hypothesized that a follow-up phone call 2 weeks after discharge will improve patient compliance with the aftercare protocol.

Null Hypothesis: Communication with the patient 2 weeks after discharge will not change the compliance of patient aftercare protocol.

Alternative Hypothesis: Communication with the patient 2 weeks after discharge will improve compliance of patient aftercare protocol.

Type I Error: A type I error could occur if the data suggest an effect of the postdischarge phone call when there was not improvement in compliance of the aftercare protocol.

Type II Error: A type II error could have occurred if the data suggest that there was no improvement in compliance of the aftercare protocol when in fact there was an improvement.

One- or Two-Tailed Test: This is a one-tailed test because the researchers are predicting an increase in compliance of the aftercare protocol.

Initial discussion question posts should be a minimum of 200 words and include at least two references cited using APA format.