Background: No evidence exists from randomized trials to support using cloud-based manometers integrated with available physician order entry systems for tracking patient blood pressure (BP) to assist in the control of renal function deterioration. We investigated how integrating cloud-based manometers with physician order entry systems benefits our outpatient chronic kidney disease patients compared with typical BP tracking systems. Methods: We randomly assigned 36 chronic kidney disease patients to use cloud-based manometers integrated with physician order entry systems or typical BP recording sheets, and followed the patients for 6 months. The composite outcome was that the patients saw improvement both in BP and renal function. Results: We compared the systolic and diastolic BP (SBP and DBP), and renal function of our patients at 0 months, 3 months, and 6 months after using the integrated manometers and typical BP monitoring sheets. Nighttime SBP and DBP were significantly lower in the study group compared with the control group. Serum creatinine level in the study group improved significantly compared with the control group after the end of Month 6 (2.83±2.0 vs. 4.38±3.0, p=0.018). Proteinuria improved nonsignificantly in Month 6 in the study group compared with the control group (1.05±0.9 vs. 1.90±1.3, p=0.09). Both SBP and DBP during the nighttime hours improved significantly in the study group compared with the baseline. Conclusion: In pre-end-stage renal disease patients, regularly monitoring BP by integrating cloud-based manometers appears to result in a significant decrease in creatinine and improvement in nighttime BP control. Estimated glomerular filtration rate and proteinuria were found to be improved nonsignificantly, and thus, larger population and longer follow-up studies may be needed.
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Lin, Y. F., Sheng, L. H., Wu, M. Y., Zheng, C. M., Chang, T. J., Li, Y. C., Huang, Y. H., & Lu, H. P. (2014). A study of renal function influence by integrating cloud-based manometers and physician order entry systems. Journal of the Chinese Medical Association, 77(12), 642-647. https://doi.org/10.1016/j.jcma.2014.08.012