Effect of hospital follow-up appointment on clinical event outcomes and mortality.

BACKGROUND: Decreasing hospital readmission and patient mortality after hospital dismissal is important when providing quality health care. Interventions recently proposed by the Centers for Medicare and Medicaid Services to reduce avoidable hospital readmissions include providing patients with clear discharge instructions and appointments for timely follow-up visits. Although research has demonstrated a correlation between follow-up arrangements and reduced hospital readmission in specific patient populations, the effect of hospital follow-up in general medicine patients has not been assessed. METHODS: For this study, we reviewed hospital dismissal instructions for general medicine patients dismissed in 2006 from Mayo Clinic hospitals in Rochester, Minnesota (n = 4989), and determined whether specific appointment details for follow-up were documented. Survival analysis and propensity score-adjusted proportional hazards regression models were developed to investigate the association of follow-up appointment arrangements with hospital readmission, emergency department visits, and mortality at 30 and 180 days after discharge. RESULTS: Of the 4989 dismissal summaries, 3037 (60.9%) contained instructions for a follow-up appointment. No difference was found between those with a documented follow-up appointment vs those without regarding hospital readmission, emergency department visits, or mortality 30 days after dismissal. However, those with a documented follow-up appointment were slightly more likely to have an adverse event (hospital readmission, emergency department visit, or death) within 180 days after dismissal. CONCLUSIONS: Improved discharge processes, including arrangement of hospital follow-up appointments, do not appear to improve readmission rates or survival in general medicine patients. Therefore, national efforts to ensure follow-up for all patients after hospital dismissal may not be beneficial or cost-effective.

Automated detection of follow-up appointments using text mining of discharge records.

OBJECTIVE: To determine whether text mining can accurately detect specific follow-up appointment criteria in free-text hospital discharge records. DESIGN: Cross-sectional study. SETTING: Mayo Clinic Rochester hospitals. PARTICIPANTS: Inpatients discharged from general medicine services in 2006 (n = 6481). INTERVENTIONS: Textual hospital dismissal summaries were manually reviewed to determine whether the records contained specific follow-up appointment arrangement elements: date, time and either physician or location for an appointment. The data set was evaluated for the same criteria using SAS Text Miner software. The two assessments were compared to determine the accuracy of text mining for detecting records containing follow-up appointment arrangements. MAIN OUTCOME MEASURES: Agreement of text-mined appointment findings with gold standard (manual abstraction) including sensitivity, specificity, positive predictive and negative predictive values (PPV and NPV). RESULTS: About 55.2% (3576) of discharge records contained all criteria for follow-up appointment arrangements according to the manual review, 3.2% (113) of which were missed through text mining. Text mining incorrectly identified 3.7% (107) follow-up appointments that were not considered valid through manual review. Therefore, the text mining analysis concurred with the manual review in 96.6% of the appointment findings. Overall sensitivity and specificity were 96.8 and 96.3%, respectively; and PPV and NPV were 97.0 and 96.1%, respectively. ANALYSIS: of individual appointment criteria resulted in accuracy rates of 93.5% for date, 97.4% for time, 97.5% for physician and 82.9% for location. CONCLUSION: Text mining of unstructured hospital dismissal summaries can accurately detect documentation of follow-up appointment arrangement elements, thus saving considerable resources for performance assessment and quality-related research.

Antibody-mediated rejection following transplantation from an HLA-identical sibling.

Putative antibody-mediated rejection (AMR) in HLA-identical sibling transplantation has rarely been reported and occurred before routine calcineurin inhibitor use. A 29-year-old male developed allograft dysfunction following an HLA-identical renal transplant from his sibling. A pretransplant panel-reactive antibody (PRA) was elevated, pre-transplant crossmatch was negative and no donor-specific antibody (DSA) was identified. Induction with alemtuzumab was followed by maintenance immunosuppression with corticosteroids, tacrolimus and mycophenolate. A biopsy for allograft dysfunction suggested AMR, but DSA could not be detected. Treatment for rejection was transiently successful. Undetectable minor histocompatibility antibodies may have contributed.

Renal involvement in Neimann-Pick Disease.

We describe the renal biopsy findings in a 14-year-old girl with Neimann-Pick disease. The renal biopsy showed chronic changes involving all components of the parenchyma, including focal global glomerulosclerosis, tubular atrophy, interstitial fibrosis and vascular sclerosis. On light microscopy, significant findings included foamy podocytes, vacuolated tubular epithelial cells and collections of foam cells in the interstitium. Electron microscopy was confirmatory which showed myelin-like inclusions in podocytes, endothelial cells, tubular epithelial cells and small nerves. The findings are similar to Fabry's disease, except that small nerve involvement appears to be unique to Neimann Pick disease.