A prognostic computer model to individually predict post-procedural complications in interventional cardiology: the INTERVENT Project.

AIMS: The purpose of this part of the INTERVENT project was (1) to redefine and individually predict post-procedural complications associated with coronary interventions, including alternative/adjunctive techniques to PTCA and (2) to employ the prognostic INTERVENT computer model to clarify the structural relationship between (pre)-procedural risk factors and post-procedural outcome. METHODS AND RESULTS: In a multicentre study, 2500 data items of 455 consecutive patients (mean age: 61.1+/-8.3 years: 33-84 years) undergoing coronary interventions at three university centres were analysed. 80.4% of the patients were male, 16.7% had unstable angina, and 5.1%/10.1% acute/subacute myocardial infarction. There were multiple or multivessel stenoses in 16.0%, vessel bending >90 degrees in 14.5%, irregular vessel contours in 65.0%, moderate calcifications in 20.9%, moderate/severe vessel tortuosity in 53.2% and a diameter stenosis of 90%-99% in 44.4% of cases. The in-lab (out-of-lab) complications were: 0.4% (0.9%) death, 1.8% (0.2%) abrupt vessel closure with myocardial infarction and 5.5% (4.0) haemodynamic disorders. CONCLUSION: Computer algorithms derived from artificial intelligence were able to predict the individual risk of these post-procedural complications with an accuracy of >95% and to explain the structural relationship between risk factors and post-procedural complications. The most important prognostic factors were: heart failure (NYHA class), use of adjunctive/alternative techniques (rotablation, atherectomy, laser), acute coronary ischaemia, pre-existent cardiac medication, stenosis length, stenosis morphology (calcification), gender, age, amount of contrast agent and smoker status. Pre-medication with aspirin or other cardiac medication had a beneficial effect. Techniques, such as laser angioplasty or atherectomy were predictors for post-procedural complications. Single predictors alone were not able to describe the individual outcome completely.

[Iron deposits, cell populations and proliferative activity in pigmented villonodular synovitis of the knee joint]. / Eisenablagerungen, Zellpopulationen und proliferative Aktivität in der pigmentierten villonodulären Synovitis des Kniegelenks.

Pigmented villonodular synovitis (PVNS) of the knee is a tumor-like process of uncertain nature. A chronic inflammation as well as a neoplastic process have been proposed in the literature. The aim of our study was to characterise the prevalent inflammatory cells, the proliferating cell populations, and the iron deposit distribution in PVNS in order to get insights into pathogenetically relevant processes of this condition. Thirteen cases of PVNS of the knee as well as 8 normal controls were analysed histochemically for iron deposits and immunohistochemically for the distribution of vascular structures and inflammatory cell populations. Collagen type I expressing fibroblastic cells were identified by in situ hybridization. The proliferative cell compartment was characterized using MIB-1 staining. Our analysis showed no correlation between intra- or extracellular iron deposits and proliferation, giant cell formation, vascularity, number of CD 68-positive cells, and foam cell formation. Instead, iron deposits were associated with collagen matrix formation. All PVNS specimens showed a significant increase of chronic inflammatory infiltrates compared to all normal synovial membrane specimens investigated. The identification of the proliferative cell compartments showed that besides fibroblastic cells many of the mononuclear, partly CD 68 positive cells were Ki-67 positive. Foam cells, iron-loaded cells, and giant cells were, however, negative for the Ki-67 antigen. PVNS appears to originate from the interplay of proliferating, partly CD 68 positive mononuclear cells and fibroblasts, both activated by an excessive iron load. Giant cells probably develop by fusion of CD 68-positive histiocytic cells. Foam cells are most likely secondary to fatty tissue destruction.

A prognostic computer model to predict individual outcome in interventional cardiology. The INTERVENT Project.

It is not yet possible to predict an individual's outcome from percutaneous transluminal coronary angioplasty or alternative/adjunctive coronary interventional techniques. The purpose of the INTERVENT project is to redefine complications associated with coronary interventions, to set up a prognostic computer model to predict individual outcome and to compare the results to those of conventional statistical techniques. 2500 data items were analysed in 455 consecutive patients (mean age: 61.1 +/- 8.3 years; range 33-84 years; 80.4% male, 16.7% unstable angina, 5.1%/10.1% acute/subacute myocardial infarction) undergoing coronary interventions at three university centres. In-lab/out-of-lab complication rates were 0.4%/0.9% (death), 1.8%/0.2% (abrupt vessel closure with myocardial infarction) and 5.5%/4.0% (haemodynamic complications). Computer algorithms derived by applying techniques from artificial intelligence were able (1) to reduce the set of possible relevant risk factors from 2500 to about 40, (2) to predict individual risk with an accuracy of > 95% and (3) to explain the structural relationship between outcome and risk factors. Patient data from two centres were used to construct and test the algorithm. Data from a third centre were used to evaluate the algorithm. The most important predictors-were acute myocardial infarction, heart failure (NYHA class > II), unstable angina, complex lesions, high low density lipoprotein cholesterol and duration of coronary heart disease. Neither age nor gender impaired the percutaneous transluminal coronary angioplasty results in acute ischaemic syndromes; however, for stable angina, procedural risk increased with age. There was little risk from primary percutaneous transluminal coronary angioplasty in acute myocardial infarction in patients with NYHA heart failure classes I-II; however, the risk was high for patients in NYHA classes > II, either with or without additional thrombolysis. Alternative/adjunctive intervention techniques were no predictors for in-lab-, but were predictors for post-procedural complications.