How many patients with community-acquired pneumonia are hospitalized each year?
600,000
INTRODUCTION: Community-acquired pneumonia CAP requires prompt treatment, but its diagnosis is complex. Improvement of bacterial CAP diagnosis by biomarkers has been evaluated using chest X-ray infiltrate as the CAP gold standard, producing conflicting results. We analyzed the diagnostic accuracy of biomarkers in suspected CAP adults visiting emergency departments for whom CAP diagnosis was established by an adjudication committee which founded its judgment on a systematic multidetector thoracic CT scan. METHODS: In an ancillary study of a multi-center prospective study evaluating the impact of systematic thoracic CT scan on CAP diagnosis, sensitivity and specificity of C-reactive protein CRP and procalcitonin PCT were evaluated. Systematic nasopharyngeal multiplex respiratory virus PCR was performed at inclusion. An adjudication committee classified CAP diagnostic probability on a 4-level Likert scale, based on all available data. Systematic nasopharyngeal multiplex respiratory virus PCR was performed at inclusion. An adjudication committee classified CAP diagnostic probability on a 4-level Likert scale, based on all available data. RESULTS: Two hundred patients with suspected CAP were analyzed. The adjudication committee classified 98 patients 49.0 % as definite CAP, 8 4.0 % as probable, 23 11.5 % as possible and excluded in 71 35.5 %, including 29 patients with pulmonary infiltrates on chest X-ray . Among patients with radiological pulmonary infiltrate, 23 % were finally classified as excluded. Viruses were identified by PCR in 29 % of patients classified as definite. Among patients with radiological pulmonary infiltrate, 23 % were finally classified as excluded. Viruses were identified by PCR in 29 % of patients classified as definite. Area under the curve was 0.787 95 % confidence interval 95 % CI , 0.717 to 0.857 for CRP and 0.655 95 % CI, 0.570 to 0.739 for PCT to detect definite CAP. CRP threshold at 50 mg/L resulted in a positive predictive value of 0.76 and a negative predictive value of 0.75. No PCT cut-off resulted in satisfactory positive or negative predictive values. CRP and PCT accuracy was not improved by exclusion of the 25 25.5 % definite viral CAP cases. No PCT cut-off resulted in satisfactory positive or negative predictive values. CRP and PCT accuracy was not improved by exclusion of the 25 25.5 % definite viral CAP cases. CONCLUSIONS: For patients with suspected CAP visiting emergency departments, diagnostic accuracy of CRP and PCT are insufficient to confirm the CAP diagnosis established using a gold standard that includes thoracic CT scan. Diagnostic accuracy of these biomarkers is also insufficient to distinguish bacterial CAP from viral CAP. TRIAL REGISTRATION: ClinicalTrials.gov registry NCT01574066 February 7, 2012 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article .1186/s13054-015-1083-6 contains supplementary material, which is available to authorized users. Text: Community-acquired pneumonia CAP is a frequently seen disease, with high morbidity and mortality, accounting for 600,000 hospitalizations each year. TRIAL REGISTRATION: ClinicalTrials.gov registry NCT01574066 February 7, 2012 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article .1186/s13054-015-1083-6 contains supplementary material, which is available to authorized users. Text: Community-acquired pneumonia CAP is a frequently seen disease, with high morbidity and mortality, accounting for 600,000 hospitalizations each year. It represents the seventh leading cause of death in the USA . CAP prognosis depends on the rapidity of specific treatment, which should ideally be initiated within four hours and no later than eight hours after diagnosis . CAP diagnosis is based on the clustering of non-specific pulmonary and general symptoms , an increase in biomarkers reflecting systemic inflammatory response syndrome SIRS , and the presence of new parenchymal infiltrates on chest X-ray. However, CAP diagnosis remains uncertain in many cases with alternative diagnoses, such as cardiac failure, acute bronchitis, chronic obstructive pulmonary disease COPD exacerbations, pulmonary embolism, neoplasia, and sepsis . CAP diagnosis is based on the clustering of non-specific pulmonary and general symptoms , an increase in biomarkers reflecting systemic inflammatory response syndrome SIRS , and the presence of new parenchymal infiltrates on chest X-ray. However, CAP diagnosis remains uncertain in many cases with alternative diagnoses, such as cardiac failure, acute bronchitis, chronic obstructive pulmonary disease COPD exacerbations, pulmonary embolism, neoplasia, and sepsis . Part of the uncertainty of CAP diagnosis may be due to the high rate of chest X-ray misdiagnosis ; over diagnosis of CAP is frequent when infiltrates of noninfectious origin coexist with pulmonary or general symptoms, and the diagnosis of CAP is often ignored when the lung infiltrates are at the limit of visibility or are hidden due to superposition . We recently published a study in which thoracic CT scan was systematically performed in a population of clinically suspected CAP patients visiting the emergency department for CAP the ESCAPED study . We showed that CAP diagnosis based on chest X-ray led to a false CAP diagnosis in many patients: among CAP suspected patients with radiological pulmonary infiltrate, CAP diagnosis was excluded in around 30 % of patients based on CT scan results; on the contrary, among patients without radiological pulmonary infiltrate, one-third had a pulmonary infiltrate on thoracic CT-scan. We also reported the isolation of viruses in one-third of patients . We showed that CAP diagnosis based on chest X-ray led to a false CAP diagnosis in many patients: among CAP suspected patients with radiological pulmonary infiltrate, CAP diagnosis was excluded in around 30 % of patients based on CT scan results; on the contrary, among patients without radiological pulmonary infiltrate, one-third had a pulmonary infiltrate on thoracic CT-scan. We also reported the isolation of viruses in one-third of patients . Several attempts have been made to improve CAP diagnosis based on biomarkers, such as C-reactive protein CRP and procalcitonin PCT ; however, there are conflicting data on their reliability  . This could be due to the consideration of CAP diagnosis based on chest X-ray as establishing pulmonary infection. In the present study, we aimed to analyze CRP and PCT values in the population of the ESCAPED study reported above for whom CAP diagnosis was established by an adjudication committee which founded its judgment on all usual available data, systematic multidetector thoracic CT scan performed at inclusion, and results from a day-28 follow-up. We also analyzed whether the viral etiology of definite CAP based on polymerase chain reaction PCR multiplex naso-pharyngeal swab interfered with the accuracy of the biomarkers. In the present study, we aimed to analyze CRP and PCT values in the population of the ESCAPED study reported above for whom CAP diagnosis was established by an adjudication committee which founded its judgment on all usual available data, systematic multidetector thoracic CT scan performed at inclusion, and results from a day-28 follow-up. We also analyzed whether the viral etiology of definite CAP based on polymerase chain reaction PCR multiplex naso-pharyngeal swab interfered with the accuracy of the biomarkers. Setting ESCAPED was a multicenter, prospective, interventional study, entitled "Early Thoracic CT-Scan for Community-Acquired Pneumonia at the Emergency Department ESCAPED " , conducted from November 2011 to January 2013, in four emergency departments EDs of four tertiary teaching hospitals in Paris, France, designed to measure the impact of thoracic CT scan on clinical decision. The study was sponsored and monitored by the Paris public health hospitals, and funded by the French Ministry of Health. The French health authorities Agence nationale de sécurité des medicaments et produits de santé, ANSM and the institutional review board for the protection of human subjects approved the study protocol and patient informed consent procedures. All enrolled patients provided written informed consent for inclusion. The French health authorities Agence nationale de sécurité des medicaments et produits de santé, ANSM and the institutional review board for the protection of human subjects approved the study protocol and patient informed consent procedures. All enrolled patients provided written informed consent for inclusion. The protocol was registered in the clinicaltrial.gov website under the PACSCAN acronym, the French translation of the English ESCAPED acronym NCT01574066 . The Ethics Committee of Ile de France Comité de Protection des Personnes. Paris N°2 011-oct-12749 approved the study protocol. The primary objective was to compare CRP and PCT values in the four different categories of CAP level of certainty using the day-28 adjudication committee classification. Paris N°2 011-oct-12749 approved the study protocol. The primary objective was to compare CRP and PCT values in the four different categories of CAP level of certainty using the day-28 adjudication committee classification. The four categories were: 1 absence of CAP hereafter referred to as excluded CAP diagnosis; 2 possible CAP; 3 probable CAP; and 4 definite CAP. The secondary objectives were to assess whether CRP and PCT were associated with CAP diagnosis using sensitivity analyses in three successive subgroups chosen a priori; 1 when specifically considering patients classified as having excluded CAP diagnosis and definite CAP i.e., the patients for whom the level of certainty was the highest ; 2 when patients with excluded CAP diagnosis and diagnosed extra-pulmonary infectious disease which may increase biomarker values were not taken into account, in the excluded CAP group; and 3 when patients classified as viral CAP were not taken into account in the definite CAP group, as PCT has been reported to be lower in viral infections as compared to bacterial infections . Consecutive adults . Multidetector thoracic CT-scan was performed after chest X-ray, ideally within the four hours following inclusion. Consecutive adults . Multidetector thoracic CT-scan was performed after chest X-ray, ideally within the four hours following inclusion. Chest X-ray and thoracic CT-scan were performed using a standardized protocol. The four levels of CAP probability according to CT scan were defined as definite systematic alveolar condensation, alveolar condensation with peripheral and localized ground glass opacities, bronchiolar focal or multifocal micronodules , probable peripheral alveolar condensation, retractile systematic alveolar condensation, or diffuse ground glass opacities , possible pulmonary infarct , or excluded pulmonary mass, other abnormalities, or normal images . Scan views were recorded on a DVD. Based on data collected from baseline standardized case report forms, DVD recorded pictures of X-ray and CTscan, and blinded to local interpretations, an adjudication committee consisting of three independent senior experts in infectious diseases, pneumology and radiology retrospectively assigned the probability of CAP diagnosis using the same 4-level Likert scale, with all available data including patients' discharge summary, and follow-up data obtained by assistant investigators who contacted by phone either the patient, relatives or general practitioners at day 28. Scan views were recorded on a DVD. Based on data collected from baseline standardized case report forms, DVD recorded pictures of X-ray and CTscan, and blinded to local interpretations, an adjudication committee consisting of three independent senior experts in infectious diseases, pneumology and radiology retrospectively assigned the probability of CAP diagnosis using the same 4-level Likert scale, with all available data including patients' discharge summary, and follow-up data obtained by assistant investigators who contacted by phone either the patient, relatives or general practitioners at day 28. For this study, the gold standard of CAP was the diagnosis assessed by this adjudication committee. Alternative diagnoses were established for excluded CAP and classified as non-CAP pulmonary diseases and extra-pulmonary infectious diseases and others. Blood samples were collected at inclusion in sodium heparin-treated tubes, centrifuged, and stored at −40°C until completion of the study. CRP and PCT concentrations were measured a posteriori on plasma collection see Additional file 1 for methodology , except for patients in whom marker dosage was performed by the emergency practitioner on his own initiative. Blood samples were collected at inclusion in sodium heparin-treated tubes, centrifuged, and stored at −40°C until completion of the study. CRP and PCT concentrations were measured a posteriori on plasma collection see Additional file 1 for methodology , except for patients in whom marker dosage was performed by the emergency practitioner on his own initiative. Naso-pharyngeal swabs were collected at enrollment and placed in a Middle Virocult MWE Sigma® transport medium. Samples were kept at room temperature and sent to the virology laboratory of Bichat -Claude Bernard Hospital Paris as soon as possible after collection. The samples were not frozen and thawed. Multiplex PCR RespiFinder-19 assay Pathofinder®, Maastricht, Netherlands was performed on naso-pharyngeal swabs to detect 15 respiratory viruses -coronavirus 229E, NL63, OC43, human metapneumovirus hMPV , influenza A, A H1N1 pdm2009 and B viruses, parainfluenza viruses 1, 2, 3, and 4, respiratory syncytial virus RSV A and B, rhinovirus, adenovirus, and 4 intracellular bacteria -Bordetella pertussis, Chlamydophila pneumoniae, Legionella pneumophila, Mycoplasma pneumoniae, in one reaction. The samples were not frozen and thawed. Multiplex PCR RespiFinder-19 assay Pathofinder®, Maastricht, Netherlands was performed on naso-pharyngeal swabs to detect 15 respiratory viruses -coronavirus 229E, NL63, OC43, human metapneumovirus hMPV , influenza A, A H1N1 pdm2009 and B viruses, parainfluenza viruses 1, 2, 3, and 4, respiratory syncytial virus RSV A and B, rhinovirus, adenovirus, and 4 intracellular bacteria -Bordetella pertussis, Chlamydophila pneumoniae, Legionella pneumophila, Mycoplasma pneumoniae, in one reaction. The multiplex PCR results were not available to the adjudication committee. Routine microbiological examinations were also performed at the discretion of the emergency physicians and included blood culture, sputum culture, and antigenuria see Additional file 1 for methodology . CAP, classified as definite, was considered as being of viral origin when multiplex PCR was positive for at least one of the 15 respiratory viruses and no bacteria were found using PCR and routine bacterial microbiological samples sputum, blood culture, antigenuria when performed. Baseline and follow-up characteristics were described by means and standard deviations SD or by median and interquartile range IQR for continuous variables normally distributed or with skewed distribution, respectively, and by percentages for categorical variables, for the total study population and for the study groups. CAP, classified as definite, was considered as being of viral origin when multiplex PCR was positive for at least one of the 15 respiratory viruses and no bacteria were found using PCR and routine bacterial microbiological samples sputum, blood culture, antigenuria when performed. Baseline and follow-up characteristics were described by means and standard deviations SD or by median and interquartile range IQR for continuous variables normally distributed or with skewed distribution, respectively, and by percentages for categorical variables, for the total study population and for the study groups. We performed chi-square or Fisher exact tests when appropriate for qualitative variables, and the Student or Mann-Whitney tests for continuous variables with skewed distributions to compare baseline patient characteristics and study outcomes between study groups. The distribution values of the biomarkers were determined in the different populations of patients using boxplots. The performances of CRP and PCT in predicting definite CAP were evaluated by sensitivity analysis definite CAP vs excluded CAP . CRP was evaluated at several cut-off points of 20 mg/L, 30 mg/L, 50 mg/L, 70 mg/L, and 100 mg/L, values used in previous studies . The performances of CRP and PCT in predicting definite CAP were evaluated by sensitivity analysis definite CAP vs excluded CAP . CRP was evaluated at several cut-off points of 20 mg/L, 30 mg/L, 50 mg/L, 70 mg/L, and 100 mg/L, values used in previous studies . Several cut-off points for PCT were chosen at the level of 0.10 μg/L , and at the two levels for suspected bacterial infection as stated by the manufacturer, i.e., 0.25 μg/L and 0.50 μg/L. Sensitivities, specificities, positive predictive values PPVs , negative predictive values NPVs , and likelihood ratio were calculated. Receiver operating characteristic ROC curves were drawn, area under the curve AUC was computed and optimal cut-off was identified by the maximization of the Youden's index, comparing biomarker values in patients with excluded CAP and definite CAP. From these optimal cut-offs for CRP and PCT, sensitivity analyses were performed combining the CRP and PCT cut-offs. Receiver operating characteristic ROC curves were drawn, area under the curve AUC was computed and optimal cut-off was identified by the maximization of the Youden's index, comparing biomarker values in patients with excluded CAP and definite CAP. From these optimal cut-offs for CRP and PCT, sensitivity analyses were performed combining the CRP and PCT cut-offs. A multivariate logistic regression model was built to identify factors associated with having definite CAP as compared to having an excluded CAP diagnosis. We excluded from the excluded CAP diagnosis group, patients with an extra-pulmonary infectious disease. All variables with a p value of < 0.25 in the bivariate analysis were entered into a multivariate logistic regression with a backward stepwise approach; the discrimination was evaluated by the C-index and its 95 % confidence interval 95 % CI and the calibration was evaluated by the Hosmer Lemeshow goodness-of-fit test. All tests were two-sided, and p-values below 0.05 were considered to denote statistical significance. All variables with a p value of < 0.25 in the bivariate analysis were entered into a multivariate logistic regression with a backward stepwise approach; the discrimination was evaluated by the C-index and its 95 % confidence interval 95 % CI and the calibration was evaluated by the Hosmer Lemeshow goodness-of-fit test. All tests were two-sided, and p-values below 0.05 were considered to denote statistical significance. All statistical analyses were performed using SPSS statistical software version 21.0 SPSS Inc., Chicago, IL, USA . Two hundred patients with suspected CAP out of the 319 in the ESCAPED study were included in the present study, for which CRP and PCT assays and nasopharyngeal swab for multiplex PCR were available Fig. 1 . Characteristics of the 200 patients age, age more than 65, gender, probability of CAP diagnosis by adjudication committee were not significantly different from those of the 119 other patients of the ESCAPED study and are summarized in Table 1 . 1 . Characteristics of the 200 patients age, age more than 65, gender, probability of CAP diagnosis by adjudication committee were not significantly different from those of the 119 other patients of the ESCAPED study and are summarized in Table 1 . CRP and PCT assays were performed based on the emergency practitioner's own initiative in 70 patients for CRP and 131 for PCT, or performed a posteriori on plasma samples of the remaining patients. Sex ratio was approximately 1. More than half of the patients 54 % were 65 years of age or older. The Pulmonary infiltrates were seen on chest X-ray in 127 63.5 % patients. More than half of the patients 54 % were 65 years of age or older. The Pulmonary infiltrates were seen on chest X-ray in 127 63.5 % patients. Thoracic CT-scan excluded a CAP diagnosis in 16.5 % of these 127 patients; on the contrary, thoracic CT-scan revealed a parenchymal infiltrate in 27 % of the 73 patients without infiltrate on chest X-ray. Based on all available data including multidetector CT scan results but excluding PCR results , the adjudication The CRP and PCT distributions in the 200 patients are presented in Fig. 2 A statistically significant difference between the two groups excluded CAP vs definite CAP was demonstrated for several cut-off points for CRP and PCT Table 2 . For CRP, the value of 50 mg/L resulted in a PPV of 0.76 and a NPV of 0.75. 2 A statistically significant difference between the two groups excluded CAP vs definite CAP was demonstrated for several cut-off points for CRP and PCT Table 2 . For CRP, the value of 50 mg/L resulted in a PPV of 0.76 and a NPV of 0.75. For PCT, no value resulted in a satisfactory PPV or NPV. For these two biochemical markers, the ability to predict CAP was evaluated by a ROC curve. The AUC was 0.787 95 % CI 0.717-0.857 , optimal cut-off = 45.9 mg/L for CRP Fig. 3 and 0.655 95 % CI 0.570-0.739 , optimal cut-off = 0.13 μg/ L for PCT Fig. 4 . 3 and 0.655 95 % CI 0.570-0.739 , optimal cut-off = 0.13 μg/ L for PCT Fig. 4 . Sensitivity analyses for the combination of CRP and PCT, using these optimal cut-offs, resulted in a PPV of 0.74 and a NPV of 0.58. Use of the other PCT cut-offs did not result in better PPV or NPV Table 2 . The present study is novel as patients prospectively benefited from extensive investigation to determine the diagnosis of CAP in the ED, including both early multidetector thoracic CT-scan and day-28 adjudication committee. This led to the correction of CAP diagnosis previously based on chest X-ray in a high number of patients. The present study is novel as patients prospectively benefited from extensive investigation to determine the diagnosis of CAP in the ED, including both early multidetector thoracic CT-scan and day-28 adjudication committee. This led to the correction of CAP diagnosis previously based on chest X-ray in a high number of patients. In these extensively characterized patients, both CRP and PCT lacked operational precision to allow the decisionmaking process to rule out or confirm diagnosis of CAP even in selected subgroups. The clinical characteristics of the patients included in this sub-study are consistent with those in the current literature. As previously reported, patients frequently had a history of respiratory disorders, cancer and congestive heart failure . The design of the ESCAPED study required exclusion of patients within the highest CRB 65 categories, which limited the inclusion of patients older than 65. As previously reported, patients frequently had a history of respiratory disorders, cancer and congestive heart failure . The design of the ESCAPED study required exclusion of patients within the highest CRB 65 categories, which limited the inclusion of patients older than 65. This may explain why the mean age of our patients 64 years falls within the lower values of those reported elsewhere . Data to identify the microbial agent responsible for the disease were collected by the usual techniques and multiplex PCR. Viral identification using naso-pharyngeal PCR that revealed viral respiratory infection in approximately one-third of cases was concordant with values reported in the literature . Therefore, we believe that our results can be extrapolated to most emergency patients suffering from CAP. Viral identification using naso-pharyngeal PCR that revealed viral respiratory infection in approximately one-third of cases was concordant with values reported in the literature . Therefore, we believe that our results can be extrapolated to most emergency patients suffering from CAP. In the present study, patients were recruited on the basis of initial clinical assessment for the diagnosis of CAP. Therefore, we believe that the characteristics of the patients closely correspond to those that lead practitioners to consider a possible diagnosis of CAP. In these patients, the design of our study allowed us to confirm or refute CAP diagnosis with a high level of certainty. Results confirmed the poor predictive value of clinical symptoms new onset of systemic features and symptoms of an acute lower respiratory tract illness in identifying CAP patients . In these patients, the design of our study allowed us to confirm or refute CAP diagnosis with a high level of certainty. Results confirmed the poor predictive value of clinical symptoms new onset of systemic features and symptoms of an acute lower respiratory tract illness in identifying CAP patients . Indeed, clinical presentation of excluded CAP patients was similar to that of definite CAP patients except for fever and cough that were more frequent in definite CAP patients. Furthermore, the design also revealed that the combination of clinical symptoms and chest X-ray results led to CAP misdiagnosis in a high number of patients, including the 98 whose CAP diagnosis was excluded by the adjudication committee and who would have been considered as possible, probable or definite CAP without the use of the CT scan. This low specificity of clinical-standard radiological evaluation led to the consideration of either non-infectious pulmonary diseases such as, cardiac failure, pulmonary embolism, pulmonary neoplasia or bronchitis or extra-pulmonary infectious diseases as CAP. Of note, some of these diseases are also associated with increased biomarker values. This low specificity of clinical-standard radiological evaluation led to the consideration of either non-infectious pulmonary diseases such as, cardiac failure, pulmonary embolism, pulmonary neoplasia or bronchitis or extra-pulmonary infectious diseases as CAP. Of note, some of these diseases are also associated with increased biomarker values. This raises concerns about previous evaluations of biomarkers in CAP-suspected patients, which used clinical and standard radiological chest X-ray evaluations as the gold standard for CAP diagnosis . The use of biomarkers has been advocated to improve diagnosis and management of patients with lower respiratory tract infections . However, this issue is still unresolved , with conflicting positions . In our study, while median values of both biomarkers did increase with level of certainty for CAP diagnosis, we were unable to establish discriminating values for PCT. However, this issue is still unresolved , with conflicting positions . In our study, while median values of both biomarkers did increase with level of certainty for CAP diagnosis, we were unable to establish discriminating values for PCT. Recent data suggested that CRP could be of more help in assisting in the diagnosis of lower respiratory tract infections LRTI . In our study, although CRP seems more discriminating than PCT, neither the experimental exclusion of extra-pulmonary bacterial infections from the excluded CAP group, nor the exclusion of viral CAP from the definite CAP patients group, made possible the determination of a discriminant cutoff. The combination of CRP and PCT was not more discriminating than each biomarker separately. An operational algorithm has been released to assist physicians in prescribing antimicrobial therapy . The combination of CRP and PCT was not more discriminating than each biomarker separately. An operational algorithm has been released to assist physicians in prescribing antimicrobial therapy . According to this strategy, a PCT concentration higher than 0.25 μg/L should prompt administration of antibiotics to patients with suspected LRTI. In our study, this value was associated with poor performance. Additionally, mean PCT levels remained above this threshold both in excluded CAP patients without infectious disorders and in definite CAP presumably related to virus. Therefore, the gold standard for the diagnosis of CAP may influence the performance and utility of PCT in this setting. This study has some limitations. Therefore, the gold standard for the diagnosis of CAP may influence the performance and utility of PCT in this setting. This study has some limitations. First, the adjudication committee was not blinded to the value of biomarkers measured at bedside in some patients 70 for CRP and 131 for PCT and its CAP classification could thus have been influenced by these results. However, the lack of statistically significant differences in the mean CRP and PCT values in the definite CAP cases, whether or not these biomarkers were available for the adjudication committee, argues against a major impact of these results on adjudication committee classification. Second, another critical point is the prescription of antibiotic therapy 34 % previous to inclusion. We cannot exclude that these previously-treated CAP patients may have altered biomarker performance and reduced the yield of bacterial cultures, although such a population reflects the usual emergency department practice. Second, another critical point is the prescription of antibiotic therapy 34 % previous to inclusion. We cannot exclude that these previously-treated CAP patients may have altered biomarker performance and reduced the yield of bacterial cultures, although such a population reflects the usual emergency department practice. Third, multiplex PCR was performed on naso-pharyngeal sampling and not on lower respiratory tract samples, which does not allow definite confirmation of the viral origin of CAP. However, a recent large study on CAP patients which reported a viral etiology of CAP at a comparable rate, did not find upper respiratory tract shedding in a control population without CAP explored during the same year and season . Finally, even if multidetector thoracic CT scan is a better imaging examination than X-ray to explore the chest, only invasive local microbiological samples would have provided a diagnosis with certainty. Given the diversity of the clinical and radiological CAP presentations, CAP diagnosis is often uncertain. Finally, even if multidetector thoracic CT scan is a better imaging examination than X-ray to explore the chest, only invasive local microbiological samples would have provided a diagnosis with certainty. Given the diversity of the clinical and radiological CAP presentations, CAP diagnosis is often uncertain. In our population of patients treated in the emergency room with clinical symptoms evoking CAP, neither CRP nor PCT cut-off values carried sufficient weight to confirm or refute CAP diagnosis at bedside; this underlines that these biomarkers are telltales of the host inflammatory response to the intrusion of microorganisms independent of the site of infection. These results, based on a systematic thoracic CT scan evaluation of CAP-suspected patients, do not argue for the use of CRP and PCT in routine care to diagnose CAP with certainty in patients visiting the ED for suspected CAP.