Challenges of intra-institutional transfer of care from paediatric to adult congenital cardiology: the need for retention as well as transition.

BACKGROUND: Transferring patients with CHD from paediatric to adult care has been challenging, especially across institutions. Within a single institution, some issues such as provider interaction, information exchange, or administrative directives should not play a significant role, and should favour successful transfer. OBJECTIVE: We studied patients who were eligible for transfer to the adult congenital heart disease service within our institution in order to identify factors associated with successful transfer to adult care providers versus failure to transfer. METHODS: Patients above18 years of age with CHD who were seen by paediatric cardiologists before January, 2008 were identified through a patient-care database. Records were reviewed to determine follow-up between 2008 and 2011 and to determine whether the patient was seen in the adult congenital cardiology clinic, paediatric cardiology clinic, or had no follow-up, and statistical comparisons were made between groups. RESULTS: After reviewing 916 records, 229 patients were considered eligible for transition to adult congenital cardiology. Of these, 77 (34%) were transferred successfully to adult congenital cardiology, 47 (21%) continued to be seen by paediatric cardiologists, and 105 (46%) were lost to follow-up. Those who transferred successfully differed with regard to complexity of diagnosis, insurance, and whether a formal referral was made by a paediatric care provider. Only a small fraction of the patients who were lost to follow-up could be contacted. CONCLUSION: Within a single institution, with shared information systems, administrations, and care providers, successful transfer from paediatric to adult congenital cardiology was still poor. Efforts for successful retention are just as vital as those for transfer.

Accuracy of administrative data for detection and categorization of adult congenital heart disease patients from an electronic medical record.

Diagnostic codes used in healthcare administration have been employed extensively in clinical research to identify target patient populations, including demonstration of important clinical outcomes among adults with congenital heart disease. However, little is known about the reliability of code-derived data in this context. We sought to determine the accuracy of International Classification of Disease-9th Revision (ICD-9) diagnoses and the reliability of retrieval algorithms in adults with congenital heart disease (ACHD). Pilot testing of a hierarchical algorithm to identify ACHD patients and determine their principle congenital diagnosis was performed. A revised algorithm was then applied retrospectively to a sample of all outpatients seen by providers who see general cardiology and ACHD patients. Using all ICD-9 codes available from any encounter, accuracy for detection and categorization of sub-types were compared to physician chart review. After initial testing on 334 patients, the revised algorithm was applied to 740 patients. The sensitivity and specificity for ACHD patient identification from this specialty clinic population were 99 and 88 %, respectively. Of 411 (56 %) non-ACHD patients, 49 were incorrectly categorized as ACHD by the algorithm. Of ACHD patients, 326 of 329 were correctly identified by diagnostic codes and categorization of ACHD defect sub-type was correct in 263 (80 %). Administrative data can be used for identification of ACHD patients based on ICD-9 codes with excellent sensitivity and reasonable specificity. Accurate categorization that would be utilized for quality indicators by ACHD defect type is less robust. Additional testing should be done using non-referral populations.

The impact of viability assessment using myocardial perfusion imaging on patient management and outcome.

BACKGROUND: Prior studies show that ischemic cardiomyopathy (ICM) patients with substantial viable myocardium have better survival with coronary revascularization (CR) than medical therapy (MT). When myocardial perfusion imaging (MPI) is used, the analysis is often based on visual scoring. We sought to determine the value of automated quantitative viability analysis in guiding management and predicting outcome. METHODS: We identified 246 consecutive ICM patients who had rest-redistribution gated SPECT thallium-201 MPI. Size and severity of perfusion defects were assessed by automated method. Regions with <50% activity vs normal were considered nonviable. Mortality was verified against the social security death index database. RESULTS: Of the 246 patients, 37% underwent CR within 3 months of MPI. The initial images showed a total perfusion defect size of 32 +/- 17%, redistribution of 3.5 +/- 4.6% and nonviable myocardium of 13 +/- 14%LV. Using multivariate logistic regression analysis, independent predictors of CR included chest pains (OR 2.74) and rest-delayed transient ischemic dilatation (OR 4.49), while a prior history of CR or ventricular arrhythmias favored MT. The cohort was followed-up for 41 +/- 30 m during which 111 patients (45%) died. Survival was better with CR than MT (P < .0001). For CR, survival was better for those with a smaller area of nonviable myocardium (risk of death increased by 5%/1% increase in size of nonviable myocardium, P = .009) but this was not seen in MT. CR had a mortality advantage over MT when the area of nonviable myocardium was