Autologous islet transplantation with remote islet isolation after pancreas resection for chronic pancreatitis.

IMPORTANCE: Autologous islet transplantation is an elegant and effective method for preserving euglycemia in patients undergoing near-total or total pancreatectomy for severe chronic pancreatitis. However, few centers worldwide perform this complex procedure, which requires interdisciplinary coordination and access to a sophisticated Food and Drug Administration-licensed islet-isolating facility. OBJECTIVE: To investigate outcomes from a single institutional case series of near-total or total pancreatectomy and autologous islet transplantation using remote islet isolation. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study between March 1, 2007, and December 31, 2013, at tertiary academic referral centers among 9 patients (age range, 13-47 years) with chronic pancreatitis and reduced quality of life after failed medical management. INTERVENTIONS: Pancreas resection, followed by transport to a remote facility for islet isolation using a modified Ricordi technique, with immediate transplantation via portal vein infusion. MAIN OUTCOMES AND MEASURES: Islet yield, pain assessment, insulin requirement, costs, and transport time. RESULTS: Eight of nine patients had successful islet isolation after near-total or total pancreatectomy. Four of six patients with total pancreatectomy had islet yields exceeding 5000 islet equivalents per kilogram of body weight. At 2 months after surgery, all 9 patients had significantly reduced pain or were pain free. Of these patients, 2 did not require insulin, and 1 required low doses. The mean transport cost was $16,527, and the mean transport time was 3½ hours. CONCLUSIONS AND RELEVANCE: Pancreatic resection with autologous islet transplantation for severe chronic pancreatitis is a safe and effective final alternative to ameliorate debilitating pain and to help prevent the development of surgical diabetes. Because many centers lack access to an islet-isolating facility, we describe our experience using a regional 2-center collaboration as a successful model to remotely isolate cells, with outcomes similar to those of larger case series.

Describing a nurse case manager intervention to empower low-income men with prostate cancer.

PURPOSE/OBJECTIVES: Describe and categorize nurse case manager (NCM) interventions for low-income, uninsured men with prostate cancer. RESEARCH APPROACH: Descriptive, retrospective record review. SETTING: Statewide free prostate cancer treatment program in which each patient is assigned an NCM. PARTICIPANTS: 7 NCMs who developed interventions based on empowerment through increasing self-efficacy. METHODOLOGIC APPROACH: NCM entries were extracted and coded from 10 electronic patient records, line by line, to reveal initial themes. Themes were grouped under categories. Investigators then reviewed and expanded these categories and their descriptions and postulated linkages. Linkages and relationships among categories were empirically verified with the original data. NCM entries from another 20 records were prepared in the same manner as the original records. Modifications were made until the categories contained all of the data and no new categories emerged. Categories were verified for content validity with the NCMs and reviewed for completeness and representation. MAIN RESEARCH VARIABLES: NCM interventions. FINDINGS: Categories of NCM interventions emerged as assessment, coordination, advocacy, facilitation, teaching, support, collaborative problem solving, and keeping track. Categories overlapped and supported each other. NCMs tailored interventions by combining categories for each patient. CONCLUSIONS: The skillful tailoring and execution of intervention strategies depended on the knowledge, experience, and skill that each NCM brought to the clinical situation. NCM categories were consistent with the tenets of the self-efficacy theory. INTERPRETATION: The model, based on NCM interventions, provides a guide for the care of underserved men with prostate cancer. Components of the model need to be tested.