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Burden of urinary tract infection on patient and hospital outcomes of renal transplant recipients
Methods: We conducted a secondary analysis of the Nationwide Inpatient Sample 2009-2011 data. Design-based F values were utilized to conduct survey-weighted multivariable regression analyses to demonstrate the impact of secondary UTI on patient outcome (post-transplant complication) and health resource utilization (total charges and length of stay). Family-wise correction was employed to reduce type I error rate and significance was set at p < 0.003.
Results: A total of 1,044 renal transplant recipients, representing a population estimate of 49,862, were included in the study. Secondary UTI was most common upon renal transplant recipients with hypertension (53%), followed by diabetes (24%). We noted secondary UTI prevalence of 28.2 and 65.9 cases per 1,000 for men and women, respective. Such infection also increased the likelihood of post-transplant complications, such as transplant failure or rejection (182% men, 169% women). Total charges were 28% higher among men as compared to 22% among women upon secondary UTI. Similarly, secondary UTI increased the length of stay by 87% better to say how many extra days among men and 74% among women.
Discussion: We found a substantial negative impact of secondary UTI among renal transplant recipients. Few studies have evaluated short-term complications and health resource utilization among such patients. Our results show that Interventions to reduce UTI in renal transplant recipients are urgently needed, especially patients with diabetes and hypertension.
Learning Areas:
EpidemiologyOther professions or practice related to public health
Protection of the public in relation to communicable diseases including prevention or control
Public health or related research
Learning Objectives:
Discuss the impact of urinary tract infection on in hospital mortality.
Identify the role of urinary tract infection in increasing length of stay and hospital charges.
Keyword(s): Health Care Costs, Epidemiology
Qualified on the content I am responsible for because: I am a graduate student working on several projects related to big-data usage in addressing health disparities. I have worked on projects related to health service research, including impact of hospital characteristics on patient outcomes, length of stay, and disposition status. I am also a part-time instructor in statistics for various majors, giving me the competency to conduct big data analysis.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.