We prospectively evaluated whether the N-terminal brain natriuretic peptide (NT-ProBNP) reduction percentage, during hospitalization for acutely decompensated heart failure (HF), has a prognostic significance in 6-month follow-up. In 120 patients consecutively admitted for acute HF to an internal medicine unit, plasma NT-ProBNP was measured on admission and at discharge. During a 6-month follow-up 52 (43.3%) patients had events: 9 (7.5%) died from cardiovascular causes, and 43 (35.8%) were readmitted for HF. In patients without events, the mean reduction percentage of NT-ProBNP was greater than in patients with events (39.5 +/- 7.4 versus 26.3 +/- 5.9%; P = 0.04). In receiver operating characteristic curve analysis, the mean area under the curve for NT-ProBNP reduction percentage was 0.63 (95% CI, 0.51-0.75; P = 0.04) for the composite end point (death or readmission), and 0.81 (95% CI, 0.65-0.97, P = 0.01) for cardiovascular mortality. NT-ProBNP reduction percentage less than 30% was the best cut-off for the identification of patients at risk of events. We suggest that in clinical practice the evaluation of change of NT-ProBNP levels during admission is probably more helpful than predischarge NT-ProBNP absolute value.

Background: B-type natriuretic peptide (BNP) represents a promising predictor of early (30 days) re-admission in patients with heart failure (HF) admitted to cardiology units. Whether BNP retains its predictive value in unselected patients admitted to general medical wards is unknown. Methods: We determined BNP levels on admission and pre-discharge in 100 consecutive patients (71 male, mean age 78F10 years) admitted to a general medical unit due to decompensated HF. Follow-up after discharge was 30 days. Results: Of the 100 patients, 86 had z1 comorbid conditions. Median BNP was 739 pg/ml on admission (25th-75th percentile 355-1333 pg/ ml, respectively), and 414 pg/ml pre-discharge (25th-75th percentile 220-696 pg/ml). Seventeen patients were re-admitted or died within 30 days. Patients with pre-discharge BNP values N75th percentile (696 pg/ml) had greater risk of re-hospitalisation, as compared to values V696 pg/ml (56% vs. 4%, respectively; pb0.001). Negative predictive value for this cut-off was 96%. BNP values N75th percentile were associated with a 15.0 independent relative hazard (RH) of early re-admission or death (95% CI 4.2-53.8; pb0.0001). The other independent predictor was a NYHA class zIII at discharge (RH 2.9; 95% CI 1.1-9.3; pb0.05). Conclusion: In a general medical unit, pre-discharge BNP levels were a strong independent predictor of early re-admission or death due to HF, irrespective of substantial comorbidity and advanced age.

Signal-averaged P wave of 42 patients with lone paroxysmal atrial fibrillation (PAF) and 29 normal subjects (N) were recorded, using three orthogonal leads and analyzed in the time and frequency (entire P wave or a 100-ms segment ranging from 75 ms before to 25 ms after the end of P wave) domains. PAFs were divided into a group of 12 having > or = 2 attacks a month (HF) and a group of 30 having < or = 2 attacks a year (LF). Statistically significant differences were absent with regard to ages of PAF and N; ages of HF, LF, and N at the time of signal-averaged ECG; ages of HF and LF at the time of the first arrhythmic episode; and elapsed times from the first episode. Length of P wave and some frequency-domain parameters were found to be significantly correlated with age. PAF showed a significantly longer duration of P wave in the frontal plane using the time-domain analysis. Frequency analysis was found to be useful in evaluating the influence of attack frequency. HF showed significantly higher values of some frequency-domain parameters than LF and N, while the three groups did not differ for time-domain analysis. P wave duration and frequency content of the three orthogonal leads proved to be significantly different in PAF and N. Right and left atrial echocardiographic dimensions proved to be higher (even if within normal limits) in HF than in LF and N. Results suggest that frequency analysis should be performed on the entire P wave.

BackgroundSevere sepsis and septic shock are leading causes of morbidity and mortality among critically ill patients, thus the identification of prognostic factors is crucial to determine their outcome. In this study, we explored the value of procalcitonin (PCT) variation in predicting 30-day mortality in patients with sepsis admitted to an intermediate care unit.MethodsThis prospective observational study enrolled 789 consecutive patients with severe sepsis and septic shock admitted to a medical intermediate care unit between November 2012 and February 2014. Kinetics of PCT expressed as percentage were defined by the variation between admission and 72 hours, and 24 and 72 hours; they were defined as Δ-PCT0-72h and Δ-PCT24-72h, respectively.ResultsThe final study group of 144 patients featured a mean age of 73 ± 14 years, with a high prevalence of comorbidities (Charlson index greater than 6 in 39%). Overall, 30-day mortality was 28.5% (41/144 patients). A receiver-operating-characteristic (ROC) analysis identified a decrease of Δ-PCT0-72h less than 15% (area under the curve: 0.75; 95% confidence interval (CI): 0.67 - 0.82) and a decrease of Δ-PCT24-72h less than 20% (area under the curve: 0.83; 95% CI: 0.74 - 0.92) as the most accurate cut-offs in predicting mortality. Decreases of Δ-PCT0-72h less than 15% (HR: 3.9, 95% CI: 1.6 - 9.5; P < 0.0001) and Δ-PCT24-72h less than 20% (HR: 3.1, 95% CI: 1.2 - 7.9; P < 0.001) were independent predictors of 30-day mortality.ConclusionsEvaluation of PCT kinetics over the first 72 hours is a useful tool for predicting 30-day mortality in patients with severe sepsis and septic shock admitted to an intermediate care unit.

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To evaluate the role of performance status evaluated by the Eastern Cooperative Oncology Group (ECOG) score in predicting 30-day mortality in subjects hospitalized for community acquired pneumonia (CAP), this was a prospective study of patients consecutively hospitalized for CAP at a large University Hospital in Italy. Performance status was evaluated using the ECOG score that in a 0-5 point scale indicates progressive functional deterioration. The end-point of the study is the 30-day mortality. Two-hundred-sixteen patients were enrolled, 75.9% were aged > 70 years, 31.5% had severe pneumonia at CURB-65 score (3-4), and 27.5% of patients had severe disability (ECOG 3-4). Thirty-day mortality is 15.3%. Progression in ECOG score independently increases the probability of 30-day mortality at multivariable logistic regression analysis (HR 2.19, 95% CI 1.60-3.01, p < 0.0001). ECOG 3 or 4 determines a four-fold increase in 30-day mortality (HR 4.07, 95% CI 1.84-9.02, p < 0.001). ECOG score 3 or 4 is highly predictive of death in patients classified at low risk of mortality by CURB-65 (0-2 points) score. Functional status is directly related to outcome in elderly patients hospitalized for CAP. The use of a very simple and fast tool, such as the ECOG score, might help to better stratify the risk of short-term mortality, especially in patients otherwise classified at low risk of death by CURB-65 score.

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