Brain natriuretic peptide: Disease marker or more in cardiovascular medicine?

Brain natriuretic peptide (BNP) is predominantly a cardiac ventricular hormone that promotes natriuresis and diuresis, inhibits the renin-anglotensin-aldosterone axis, and is a vasodilator. Plasma BNP levels are raised in essential hypertension, and more so in left ventricular (LV) hypertrophy and heart failure. Plasma BNP levels are also elevated in ischemic heart disease. Attempts have been made to use plasma BNP levels as a marker of LV dysfunction, but these have shown that plasma BNP levels are probably not sensitive enough to replace echocardiography in the diagnosis of LV dysfunction. Pericardial BNP or N-BNP may be more suitable markers of LV dysfunction. Plasma BNP levels are also elevated in right ventricular dysfunction, pregnancy-induced hypertension, aortic stenosis, age, subarachnoid hemorrhage, cardiac allograft rejection and cavopulmonary connection, and BNP may have an important pathophysiological role in some or all of these conditions. Clinical trials have demonstrated the natriuretic, diuretic and vasodilator effects, as well as inhibitory effects on renin and aldosterone of infused synthetic human BNP (nesiritide) in healthy humans. BNP infusion improves LV function in patients with congestive heart failure via a vasodilating and a prominent natriuretic effect. BNP infusion is useful for the treatment of decompensated congestive heart failure requiring hospitalization. The clinical potential of BNP is limited as it is a peptide and requires infusion. Drugs that modify the effects of BNP are furthering our understanding of the pathophysiological role and clinical potential of BNP. Increasing the effects of BNP may be a useful therapeutic approach in heart failure involving LV dysfunction. The levels of plasma BNP are increased by blockers, cardiac glycosides and vasopeptidase inhibitors, and this may contribute to the usefulness of these agents in heart failure. (C) 2001 Prous Science. All rights reserved.

Whither our Art? Clinical Wisdom & Evidence-based Medicine

The relationship between evidence-based medicine (EBM) and clinical judgement is the subject of conceptual and practical dispute. For example, EBM and clinical guidelines are seen to increasingly dominate medical decision-making at the expense of other, human elements, and to threaten the art of medicine. Clinical wisdom always remains open to question. We want to know why particular beliefs are held, and the epistemological status of claims based in wisdom or experience. The paper critically appraises a number of claims and distinctions, and attempts to clarify the connections between EBM, clinical experience and judgement, and the objective and evaluative categories of medicine. I conclude that to demystify clinical wisdom is not to devalue it. EBM ought not be conceived as needing to be limited or balanced by clinical wisdom, since if its language is translatable into terms comprehensible and applicable to individuals, it helps constitute clinical wisdom. Failure to appreciate this constitutive relation will help perpetuate medical paternalism and delay the adoption of properly evidence-based practice, which would be both unethical and unwise.

Productivity growth in pre-1990 Mongolian agriculture: Spiralling disaster or emerging success?

The reasons for the spectacular collapse of so many centrally-planned economies are a source of ongoing debate. In this paper, we use detailed farm-level data to measure total factor productivity (TFP) changes in Mongolian grain and potato farming during the 14-year period immediately preceding the 1990 economic reforms. We measure TFP growth using stochastic frontier analysis (SFA) and data envelopment analysis (DEA) methods. Our results indicate quite poor overall performance, with an average annual TFP change of - 1.7% in grain and 0.8% in potatoes, over the 14-year period. However, the pattern of TFP growth changed substantially during this period, with TFP growth exceeding 7% per year in the latter half of this period. This suggests that the new policies of improved education, greater management autonomy, and improved incentives, which were introduced in final two planning periods in the 1980s, were beginning to have a significant influence upon the performance of Mongolian crop farming. Crown Copyright (C) 2002 Published by Elsevier Science B.V. All rights reserved.