Defining frequent attendance in general practice

Background: General practitioners (GPs) or researchers sometimes need to identify frequent attenders (FAs) in order to screen them for unidentified problems and to test specific interventions. We wanted to assess different methods for selecting FAs to identify the most feasible and effective one for use in a general (group) practice. Methods: In the second Dutch National Survey of General Practice, data were collected on 375 899 persons registered with 104 practices. Frequent attendance is defined as the top 3% and 10% of enlisted patients in each one-year age-sex group measured during the study year. We used these two selections as our reference standard. We also selected the top 3% and 10% FAs (90 and 97 percentile) based on four selection methods of diminishing preciseness. We compared the test characteristics of these four methods. Results: Of all enlisted patients, 24 % did not consult the practice during the study year. The mean number of contacts in the top 10% FAs increased in men from 5.8 (age 15-24 years) to 17.5 (age 64-75 years) and in women from 9.7 to 19.8. In the top 3% of FAs, contacts increased in men from 9.2 to 24.5 and in women from 14 to 27.8. The selection of FAs becomes more precise when smaller age classes are used. All selection methods show acceptable results (kappa 0.849 - 0.942) except the three group method. Conclusion: To correctly identify frequent attenders in general practice, we recommend dividing patients into at least three age groups per se

Blood outgrowth endothelial cells from cord blood and peripheral blood: angiogenesis-related characteristics in vitro

BACKGROUND: Blood outgrowth endothelial cells (BOEC) are good candidates for vascular (re-) generating cell therapy. Although cord blood (CB) BOEC have been reported as more proliferative than peripheral blood (PB) BOEC, not much is known about their functional properties. OBJECTIVES: We have studied the following determinants in BOEC expanded from CB and PB: endothelial phenotype, in vitro adhesion, migration, proliferation, and angiogenic tube forming capacity. METHODS/RESULTS: Endothelial phenotype of BOEC was evaluated by fluorescence activated cell sorting (FACS) analysis and confirmed the presence of endothelial markers including CD31, CD105, CD144, CD146, KDR/VEGFR-2, Tie-2, and TNF-alpha-induced VCAM-1 and ICAM-1. Evaluation of cell proliferation revealed a higher basal proliferation of CB-BOEC, which increased after exposure to bFGF but not VEGF. The lower basal proliferation of PB-BOEC increased with VEGF or bFGF addition. Array analysis of angiogenic genes showed many comparable expressions in both BOEC, and a slightly more pronounced pro-angiogenic profile in CB-BOEC than PB-BOEC. Both BOEC were able to form tubular structures in a three-dimensional fibrin matrix. Tube formation in CB-BOEC was markedly induced by TNF-alpha only and inhibited by anti-urokinase antibodies. It was comparable to that induced by combined addition of TNF-alpha and VEGF or bFGF, while maximal tube formation in PB-BOEC required simultaneous exposure to TNF-alpha/VEGF or TNF-alpha/bFGF. CONCLUSIONS: The endothelial phenotype and characteristics for homing, adhesion, migration, inflammation, and angiogenic tube formation are almost equal for BOEC from CB and PB. A slightly more angiogenic phenotype favors CB-BOEC. However, addition of VEGF to PB-BOEC induces equal proliferation and tube formatio