Diagnostic and prognostic accuracy of clinical and laboratory parameters in community-acquired pneumonia

Abstract

Background: Community-acquired pneumonia (CAP) is the most frequent infection-related cause of death. The reference standard to diagnose CAP is a new infiltrate on chest radiograph in the presence of recently acquired respiratory signs and symptoms. This study aims to evaluate the diagnostic and prognostic accuracy of clinical signs and symptoms and laboratory biomarkers for CAP.

Methods: 545 patients with suspected lower respiratory tract infection, admitted to the emergency department of a university hospital were included in a pre-planned post-hoc analysis of two controlled intervention trials. Baseline assessment included history, clinical examination, radiography and measurements of procalcitonin (PCT), highly sensitive C-reactive protein (hsCRP) and leukocyte count.

Results: Of the 545 patients, 373 had CAP, 132 other respiratory tract infections, and 40 other final diagnoses. The AUC of a clinical model including standard clinical signs and symptoms (i.e. fever, cough, sputum production, abnormal chest auscultation and dyspnea) to diagnose CAP was 0.79 [95% CI, 0.75-0.83]. This AUC was significantly improved by including PCT and hsCRP (0.92 [0.89-0.94]; p < 0.001). PCT had a higher diagnostic accuracy (AUC, 0.88 [0.84-0.93]) in differentiating CAP from other diagnoses, as compared to hsCRP (AUC, 0.76 [0.69-0.83]; p < 0.001) and total leukocyte count (AUC, 0.69 [0.62-0.77]; p < 0.001). To predict bacteremia, PCT had a higher AUC (0.85 [0.80-0.91]) as compared to hsCRP (p = 0.01), leukocyte count (p = 0.002) and elevated body temperature (p < 0.001). PCT, in contrast to hsCRP and leukocyte count, increased with increasing severity of CAP, as assessed by the pneumonia severity index (p < 0.001).

Conclusion: PCT, and to a lesser degree hsCRP, improve the accuracy of currently recommended approaches for the diagnosis of CAP, thereby complementing clinical signs and symptoms. PCT is useful in the severity assessment of CAP.

Figures

Figure 1

Receiver operating characteristics curves (ROC) of different parameters for the diagnosis of pneumonia. a diagnostic accuracy to predict CAP without chest radiography: Primary care approach. b diagnostic accuracy to predict radiographically suspected CAP (control group (n = 20) includes other non-infectious diagnoses initially diagnosed as CAP): Emergency department approach. c diagnostic accuracy to predict radiographically suspected CAP (control group (n = 44) includes other non-infectious diagnoses initially diagnosed as CAP (n = 20) plus patients without a clinically relevant bacterial etiology of CAP (n = 24). d diagnostic accuracy to predict bacteremic CAP. Values show areas under the ROC curve with 95% confidence intervals. Chest auscult. denotes abnormal chest auscultation; CRP C-reactive Protein; PCT procalcitonin.

Figure 2

PCT as compared to hsCRP and leukocyte count in different severities of CAP. PCT denotes procalcitonin, CRP highly-sensitive C-reactive protein, PSI pneumonia severity index. Diamonds denote means, squares SEM and whiskers 1.96 SEM of the combined data. The scatterplots represent all values.