RESUMEN
It is well documented that Physician Assistants (PAs) and Nurse Practitioners (NPs), collectively known as Advanced Practice Providers (APPs), have a beneficial role beyond the field of primary care. APPs broad spectrum of knowledge make them particularly well suited for specializing in complex fields such as transplant. Variations in practice across transplant centers lead to questions regarding optimal use of APPs. Using job descriptions from transplant centers currently employing APPs, we sought to examine the critical role of transplant APPs beyond clinical care alone. In this review, we explore not only the general training of APPs and current utilization of APPs in transplant, but also safety, cost effectiveness, and comparison of APPs to other transplant providers. We aimed to highlight the importance of recruitment and retention of transplant specific trained APPs to provide continuity in transplant programs. Additionally, APPs expansion into transplant research, quality improvement, leadership, and management must be considered. We challenge transplant centers utilizing APPs to consider these important aspects when seeking ways to expand and optimize the critical role APPs provide on the transplant team.
Asunto(s)
Enfermeras Practicantes , Asistentes Médicos , Análisis Costo-Beneficio , HumanosRESUMEN
The postoperative period following abdominal surgery presents many challenges to patients and clinicians as recovery progresses and discharge from the intensive care unit approaches. Physiologic changes including the release of inflammatory mediators, increased fatigue and reduction in body mass, and a decline in pulmonary function occurring after abdominal surgery are often potentiated by bed rest and immobility. Evidence-based interventions have the potential to prevent pulmonary complications, wound instability, drain displacement, and orthostatic hypotension. Promoting early mobility is one example of an evidence-based strategy to improve patient outcomes. By understanding the specific needs of the abdominal surgery population, the clinician can safely and effectively implement a mobility plan. The purpose of this article was to briefly review the inflammatory effects associated with bed rest, critical illness, and surgery; review the literature related to mobility in the abdominal surgery patient; describe the effects of immobility on postoperative outcomes; discuss the safety concerns and barriers to mobilization; discuss strategies to overcome barriers; and provide suggestions for application in practice.
Asunto(s)
Abdomen/cirugía , Reposo en Cama/efectos adversos , Enfermería de Cuidados Críticos/métodos , Ambulación Precoz/métodos , Cuidados Posoperatorios/métodos , Complicaciones Posoperatorias/prevención & control , Contraindicaciones , Ambulación Precoz/enfermería , Humanos , Inflamación/fisiopatología , Cuidados Posoperatorios/enfermeríaRESUMEN
BACKGROUND: The 125I-iothalamate clearance and 99mTc diethylenetriamine-pentaacetic acid (99mTc-DTPA) split scan nuclear medicine studies are used among living kidney donor candidates to determine measured glomerular filtration rate (mGFR) and split scan ratio (SSR). The computerized tomography-derived cortical volume ratio (CVR) is a novel measurement of split kidney function and can be combined with predonation estimated GFR (eGFR) or mGFR to predict postdonation kidney function. Whether predonation SSR predicts postdonation kidney function better than predonation CVR and whether predonation mGFR provides additional information beyond predonation eGFR are unknown. METHODS: We performed a single-center retrospective analysis of 204 patients who underwent kidney donation between June 2015 and March 2019. The primary outcome was 1-y postdonation eGFR. Model bases were created from a measure of predonation kidney function (mGFR or eGFR) multiplied by the proportion that each nondonated kidney contributed to predonation kidney function (SSR or CVR). Multivariable elastic net regression with 1000 repetitions was used to determine the mean and 95% confidence interval of R2, root mean square error (RMSE), and proportion overprediction ≥15 mL/min/1.73 m2 between models. RESULTS: In validation cohorts, eGFR-CVR models performed best (R2, 0.547; RMSE, 9.2 mL/min/1.73 m2, proportion overprediction 3.1%), whereas mGFR-SSR models performed worst (R2, 0.360; RMSE, 10.9 mL/min/1.73 m2, proportion overprediction 7.2%) (P < 0.001 for all comparisons). CONCLUSIONS: These findings suggest that predonation CVR may serve as an acceptable alternative to SSR during donor evaluation and furthermore, that a model based on CVR and predonation eGFR may be superior to other methods.