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An acutely ill patient
presented to the emergency department needs to be diagnosed
correctly and promptly because misdiagnosis could place such a
patient at risk of increased morbidity and mortality (Wurez and
Meador, 1992; Bales and Sorrentino, 1997). It is imperative to
institute appropriate treatment early in the course of disease
to derive maximum survival benefit (Packer and Cohn, 1999). The
signs and symptoms of heart failure are often nonspecific (Wei
et al., 1993). A helpful history is not readily obtainable in an
acutely ill patient. Moreover dyspnea, a key symptom of heart
failure may be a nonspecific finding in elderly or obese
patients in whom respiratory disease and physical deconditioning
are common (Nakagawa et al., 1995). Routine laboratory tests
like electrocardiogram and X-ray chest are also not accurate
enough to always make the appropriate diagnosis (Hunt et al.,
2001; Davie et al., 1996). Thus, it becomes difficult for
clinicians to differentiate patients with heart failure from
other diseases, such as pulmonary disease, on the basis of
routinely available laboratory tests.
Echocardiography, although currently the gold standard for
diagnosing left ventricular dysfunction, is relatively costly
and has limited availability in urgent care settings. Severely
dyspneic patients may be unable to stay still long enough for an
echocardiographic study, while in others imaging may be
suboptimal due to co-morbid conditions like obesity or lung
disease. Therefore, even if emergency echocardiographic
assessment is available, a rapid estimation of BNP can prove to
be a useful cost effective investigation for the diagnosis of
heart failure, saving valuable time. The source of plasma BNP is
cardiac ventricles and is indicative of ventricular dys-function.
Its release appears to be directly proportional to the
ventricular volume and pressure overload (Nakagawa et al., 1995;
Dickstein, 1998; Maeda et al., 1998; Luchner et al., 1998).
BNP is an independent predictor of high LV end diastolic
pressure and correlates well with grade of NYHA class (Maeda et
al., 1998; Clerico et al., 1998; Ceyhan et al., 2008). NT-proBNP,
a peptide similar to BNP, is also being used for diagnosing CHF,
however it has been shown that its plasma levels are vulnerable
in patients with renal insufficiency as compared to BNP. The
investigators in the PRIDE study evaluated the relationship
between renal function, NT-proBNP and CHF. They found an inverse
relationship between renal function and NT-proBNP and also refuted the claimthat, it loses its
specificity for the diagnosis of acute CHF due to impaired renal
functions, although patients with serum creatinine of more than 2.5
mg/dl were excluded in their study. They also observed that NT-proBNP
was the strongest risk factor of death regardless of renal function
(Anwaruddin et al., 2006).
However, in our study we used BNP which has been shown to be more
stable and predictable, irrespective of renal functions, in the
diagnosis of CHF. In our study BNP assay was able to distinguish
heart failure from pulmonary disease with a high degree of
sensitivity, specificity, and accuracy. In our study, plasma BNP
levels of heart failure patients were significantly higher as
compared to those with no heart failure (399.6+289.2 pg/ml vs
84.9+42.2 pg/ml. p< 0.001). Heart failure patients were
categorized into 3 subgroups. Subgroup analysis revealed that, BNP
levels were equally useful in differentiating systolic heart
failure, diastolic heart failure, and the miscellaneous category. In
patients with predominantly systolic heart failure (n = 28) the BNP
level was significantly higher than other groups with range of 196
to 1125, mean 652+345 pg/ml. In patients having diastolic
heart failure (n = 14), the BNP levels were high but less than those
with systolic heart failure (98 to 697, mean 250 + 154
pg/ml). The miscellaneous group (n = 2) which included patients with atrial fibrillation and fast ventricular rate presented with flash
pulmonary edema. Their BNP levels were 187 and 196 pg/ml. Similar
observations in various forms of heart failure have been reported in
earlier studies (Yamamoto et al., 1996; Logeart et al., 2002;
Hammerer et al., 2004).
In our study, the plasma level of BNP correlated well with the
severity of LV dysfunction. Similar results have been reported by
other investigators (Ogawa et al., 1998; Cowie et al., 1997).
Univariate analysis of plasma BNP assay showed that, it is the most
accurate variable at 175 pg/ml for the diagnosis of heart failure
with accuracy of 87.5%, sensitivity 81.8%, specificity 96.4% and
positive predictive value of 77.1%. The results of our study are
consistent with other reported studies (Maisel et al., 2002;
Morrison et al., 2002; Koulori et al., 2004).
Using multiple variable logistic regression analysis of various
factors used for differentiating patients with and without heart
failure with significant p value, we observed that addition of BNP
at cut off level of 175 pg/ml increased the combined explanatory
power of the symptoms, signs, radiological study and other
laboratory findings. Our data showed that, plasma BNP level of 175
pg/ml was the strongest independent predictor of the heart failure
diagnosis with odds ratio of 41.9, followed by history of paroxysmal
nocturnal dyspnea (odds ratio of 37.3), decreased ejection fraction
(odds ratio 29.0), cardiomegaly on chest x-ray and pulmonary edema
(odds ratio of 27.0). These findings of multiple variable analysis
are almost consistent with other reported studies with some
variations which can be explained on the basis of differences in
population studied and sample size (Logeart et al., 2002; Hammerer
et al., 2004; Maisel et al., 2002; Morrison et al., 2002 ).
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