Severe leukopenia in Staphylococcus aureus-necrotizing, community-acquired pneumonia: risk factors and impact on survival
BMC Infectious Diseases volume 13, Article number: 359 (2013)
Necrotizing pneumonia attributed to Panton-Valentine leukocidin-positive Staphylococcus aureus has mainly been reported in otherwise healthy children and young adults, with a high mortality rate. Erythroderma, airway bleeding, and leukopenia have been shown to be predictive of mortality. The objectives of this study were to define the characteristics of patients with severe leukopenia at 48-h hospitalization and to update our data regarding mortality predicting factors in a larger population than we had previously described.
It was designed as a case-case study nested in a cohort study. A total of 148 cases of community-acquired, necrotizing pneumonia were included. The following data were collected: basic demographic information, medical history, signs and symptoms, radiological findings and laboratory results during the first 48 h of hospitalization. The study population was divided into 2 groups: (1) with severe leukopenia (leukocyte count ≤3,000 leukocytes/mL, n=62) and (2) without severe leukopenia (>3,000 leukocytes/mL, n=86).
Median age was 22 years, and the male-to-female gender ratio was 1.5. The overall in-hospital mortality rate was 41.2%. Death occurred in 75.8% of severe leukopenia cases with median survival time of 4 days, and in 16.3% of cases with leukocyte count >3,000/mL (P<0.001). Multivariate analysis indicated that the factors associated with severe leukopenia were influenza-like illness (adjusted odds ratio (aOR) 4.45, 95% CI (95% confidence interval) 1.67-11.88, P=0.003), airway bleeding (aOR 4.53, 95% CI 1.85-11.13, P=0.001) and age over 30 years (aOR 2.69, 95% CI 1.08-6.68, P=0.033). A personal history of furuncles appeared to be protective (OR 0.11, 95% CI 0.01-0.96, P=0.046).
S. aureus-necrotizing pneumonia is still an extremely severe disease in patients with severe leukopenia. Some factors could distinguish these patients, allowing better initial identification to initiate adapted, rapid administration of appropriate therapy.
Since the description of necrotizing pneumonia due to Panton-Valentine leukocidin (PVL)-positive Staphylococcus aureus by Gillet et al. in 2002, numerous cases have been reported worldwide [1–7]. They mainly impacted otherwise healthy children and young adults, with a median age of 14 years. They are attributed to either methicillin-sensitive or -resistant S. aureus strains of various genetic backgrounds, but have all PVL genes in common [8, 9]. Necrotizing pneumonia is characterized by rapid, extensive, bilateral pneumonia frequently evolving towards acute respiratory distress syndrome (ARDS), despite intensive medical interventions with mechanical ventilation and inotrope support. No specific treatment guidelines have been published so far, but the addition of toxin-suppressing antibiotics, such as clindamycin, linezolid and rifampicin, has been suggested [10–12].
The overall mortality rate ranges from 30 to 75% of cases [3, 13]. The fatal outcome is rapid, with median survival time between 4 to 10 days from the onset of symptoms [1, 4, 12]. It is associated with classic severity factors, such as the need for mechanical ventilation or inotrope support, and the onset of ARDS. Erythroderma, airway bleeding, and leukopenia have been shown to be predictive of mortality. Gillet et al. reported significant differences, by multivariate analysis, in median leukocyte count between patients who survived and those who did not. The survival rate was <10% when the leukocyte count was <3,000 leukocytes/mL. The leukopenia observed in patients could reflect PVL cytotoxicity, demonstrated in vitro on human neutrophils [14, 15].
As patients with leukopenia face a high risk of mortality, better initial recognition of these severe cases would allow rapid administration of appropriate treatment. In this study, a series of 148 cases of S. aureus-necrotizing pneumonia was analyzed. Our aim was to define the characteristics of patients with severe leukopenia at 48-h hospitalization and to update our data regarding mortality predicting factors in a larger population than we had previously described .
Since 1986, the French National Reference Centre of Staphylococci (Lyon, France) has collected 161 case reports of documented pneumonia caused by S. aureus strains carrying PVL genes (lukS-PV—lukF-PV). Informed consent was waived because data were extracted from the surveillance database. According to French law, a study like this one does not require ethics committee approval because it is observational and based on a surveillance database approved under national regulations. The protocol design was approved by the hospital’s institutional review board (Comité National Informatique et Liberté).
Pneumonia was defined by signs and symptoms of lower respiratory tract infection (e.g., cough, expectoration, and chest pain) and pulmonary infiltrates on chest X Ray reviewed by a radiologist, that were not attributable to other causes, but coinciding with S. aureus isolation by at least 1 of the following procedures: (1) pleural effusion or lung abscess; (2) broncho-alveolar lavage fluid culture (104 CFU/mL), Wimberley brushing (103 CFU/mL), or protected tracheal aspiration (103 CFU/mL); and (3) blood culture revealing S. aureus as the sole potential pathogen. Cases with respiratory symptoms starting at least 48 h after hospitalization were classified as nosocomial and were excluded from the study. Leukopenia was defined as severe if median leukocyte count was < 3,000 leukocytes/mL within the first 48 h after hospital admission.
S. aureus isolates were tested for antimicrobial susceptibility and toxin production. Testing of isolates for antimicrobial susceptibility by broth microdilution was undertaken according to the interpretive criteria of the Clinical and Laboratory Standards Institute (formerly the National Committee for Clinical Laboratory Standards). The following antimicrobial agents were used: penicillin, oxacillin, kanamycin, tobramycin, gentamicin, erythromycin, clindamycin, tetracycline, ofloxacin, fusidic acid, rifampicin, vancomycin, teicoplanin, fosfomycin, trimethoprim-sulfamethoxazole, and linezolid. Gene sequences encoding superantigens (enterotoxins A-E, G-I, and toxic shock syndrome toxin), PVL and mecA gene, which codes for methicillin resistance, were detected by PCR, as described elsewhere . Only cases caused by PVL-positive S. aureus strains were included.
Study design and population
Designed as a case-case study nested in a cohort study, analyses were restricted to 148 cases where all clinical and biological data were available.
The following data were collected by a standardized form and comprised basic demographic information, medical history (including risk factors for infection and history of personal or familial abscesses or furuncles), signs and symptoms, radiological findings and laboratory results during the first 48 h of hospitalization. Severity was rated by Pediatric Risk of Mortality (PRISM) 3 scores for patients <18 years and the Simplified Acute Physiology Score (SAPS) II for patients ≥18 years, when available. Some biological and radiological data were missing because of death shortly after admission to hospital.
Categorical variables were compared by the Chi-square or Fisher’s exact test, and continuous variables, by Student’s t-test or Mann–Whitney tests. Survival probability according to median leukocyte count, was estimated by the Kaplan-Meier method. Initially the cases were divided into 3 groups: 0–3,000; 3,000-10,000 and >10,000 leukocytes/mL but we merged the data of the last two groups since no significant difference was found for variables included in the final multivariate regression model (data not shown in this paper). The ROC analysis showed a 84% sensitivity for a cut-off of 3000 leukocytes/mL.
Baseline was the day of admission to hospital because of pneumonia, and patients who survived were censored at hospital discharge. When patients died within 24 h after admission, the observation period was rounded to 1 day. Survival distributions were compared by the log-rank test. Variables independently associated with survival were identified with a Cox regression model based on hazard ratios with 95% confidence interval (95% CI).
Variables associated with severe leukopenia were tested by the multivariate logistic regression model. When P values of variables described in the first table, were <0.20 in univariate analysis, they were submitted to the multivariate model. Variables in multivariate analysis were subjected to the forced entry procedure, with stepwise and backward elimination, using P values of 0.1 as criteria for inclusion and elimination of risk variables based on best subset logistic regression with Chi-square score fit criteria. The Hosmer-Lemeshow test assessed the model’s goodness-of-fit. Adjusted odds ratios (aOR) and corresponding 95% CI were calculated. For all tests performed, 2-tailed P values < 0.05 were regarded as denoting statistical significance. Analyses were performed with SPSS 17.0 software (SPSS Inc., Chicago, IL, USA).
From 1986 through 2010, 161 cases of community-acquired, necrotizing pneumonia were collected and documented; 13 case reports were excluded because of missing data concerning leukocytes count.
Demographic conditions and medical history
In total, 148 cases of community-acquired necrotizing pneumonia were included. Median age was 22 years (interquartile range [IQR] 3.0-43.7) and the male-to-female gender ratio was 1.5 (88 males and 60 females). Smoking was reported in 15.5% patients. Common risk factors for staphylococcal infection, such as diabetes, steroid therapy, and immunosuppressive treatment, were noted for 6.1%, 6.8% and 5.4% of patients, respectively. Among the 126 patients for whom data were available, 10.3% had a personal history of furuncles or skin abscess.
The median duration of symptoms prior to hospitalization was 3.0 days (IQR 2.0-5.0 days), with preceding influenza-like syndrome in 61.7% (87 of 141), and pre-existing skin and soft tissue infection (SSTI) in 22.3% (33 of 143).
Clinical and biological data
The clinical course during the first 48 h after hospital admission was usually severe, with 63.5% of patients requiring mechanical ventilation. The most remarkable clinical feature was airway bleeding, which occurred in 40.0% of patients. S. aureus was recovered from blood culture in 60.8%, in pleural fluid from 40.5%, and in tracheal aspirates from 12.8% of patients.
Median minimal leukocyte count during the first 48 h of hospitalization was 4,700 leukocytes/mL (IQR 1,300-12,800 leukocytes/mL), and 41.9% had leukocyte count ≤3,000 leukocytes/mL. The minimal platelet count was also low, with a median of 168,000 platelets/mL (IQR 88,000-275,000 platelets/mL).
The overall in-hospital mortality rate was 41.2%. 98.4% of deaths were attributed to S. aureus and were secondary to refractory shock and/or respiratory failure.
Factors associated with severe leukopenia
The study population was divided into 2 groups: (1) with severe leukopenia (leukocyte count ≤3,000 leukocytes/mL, n=62) and (2) without severe leukopenia (>3,000 leukocytes/mL, n=86).
The group with severe leukopenia was characterized by a significantly higher rate of female patients (P=0.008) (Table 1). Prior influenza-like illness (ILI: 79.3% vs. 49.4%, P<0.001) and airway bleeding (62.9% vs. 23.3% (P<0.001) were also associated with severe leukopenia. Conversely, a personal history of furuncles or skin abscess (P=0.001) and SSTI at admission (P=0.002) were more frequent in the group without severe leukopenia. The group with severe leukopenia presented ARDS onset more frequently and needed artificial ventilation or inotrope support (P<0.001).
Multivariate analysis indicated that ILI, airway bleeding and age over 30 years were independent factors associated with severe leukopenia (Table 2). A personal history of furuncles appeared to be protective.
Leukocyte count was negatively correlated with mortality. Death occurred in 75.8% of cases (47 of 62) with severe leukopenia (≤3,000 leukocytes/mL) with median survival time of 4 days (Figure 1). Only 16.3% of cases (14 of 86) with leukocyte count >3,000/mL (P<0.001) died. Mortality was 66% in cases with airway bleeding versus 24.7% in those without (P<.001). Cox multivariate analysis indicated that the only factors associated with fatal outcome were leukopenia, airway hemorrhage and age (Table 3).
In this article, we compared the characteristics of a group of 62 cases of severe leukopenia (≤3,000 leukocytes/mL) with a group of 86 patients without severe leukopenia (>3,000 leukocytes/mL) at 48 h of hospitalization.
The group with severe leukopenia was exemplified by a significantly higher rate of female patients (P=0.008), prior ILI (P<0.001) and airway bleeding (P<0.001). Conversely, a personal history of furuncles or skin abscess (P=0.001) and SSTI at admission (P=0.002) were more frequent in the group without severe leukopenia. The mortality rate was significantly different between groups (75.8% vs 16.3%, P<0.001).
Necrotizing pneumonia largely occurred in young people with a median age of 22 years, only slightly higher than reported earlier in smaller series [1, 3, 7, 13, 17]. The increasing of age of included patients might be attibuable to a delayed exposure to the causative organism. This epidemiological trend should be challenged by similar surveys in other countries. This effect could be related to the improvement of the management of this infection.
Our study confirms the association of leukocyte count with disease severity. By multivariate logistic regression, age over 30 years was associated with severe leukopenia (aOR 2.69, P=0.033). The reason of this association was not clear. The increasing of age of patients might be attibuable to a delayed exposure to the causative organism. This epidemiological trend should be challenged by similar surveys in other countries. An association between time and lymphocyte count was actually reported in different populations [18, 19].
Female gender was associated with severe leukopenia (OR 2.49, P=0.008) by univariate analysis but not by multivariate analysis. Females in general mount a more profound immune response after antigenic challenge, and these differences have mainly been attributed to the immunomodulatory effects of sex hormones, despite the lack of human in vivo data. Even though we still found some papers reporting an association of neutropenia with female gender. vanEijk et al. demonstrated, in an in vivo study, that females exert a more pro-inflammatory pattern of cytokine release compared to males during systemic inflammation after the administration of Escherichia coli endotoxin . This difference is associated with more leukocyte sequestration in females . Sterling et al. reported gender-based differences in host immune responses . In a study analyzing the risk factors for developing neutropenia after mitomycin C administration, multivariate logistic regression showed that female gender was an independent risk factor for neutropenia and the reasons for this association are unknown .
The significant association with a previous ILI (aOR 4.45, P=0.003) might be related to a particular linkage with influenza virus. Possible epithelial damage, due to viral infection, could promote the pathogenicity of PVL-producing strains with increasing affinity for collagen (I and IV) and laminin .
A personal history of furuncles appears to be protective (OR 0.11, 95% CI 0.01-0.96, P=0.046). It is conceivable that patients with such a history had previously been exposed to PVL and had developed a degree of protective immunity . Another hypothesis could explain this association: after bacteria reach the lungs through the bloodstream, the necrotizing effect is less serious.
The present investigation has some limitations. First, case reporting to the Reference Center was unsolicited and may not reflect accurate epidemiology and disease severity. Severe and dramatic cases among previously-healthy young people are more likely to be reported. A bias of notification would not be excluded. This would be caused by some missing data possibly not declared after 2000 due to the dispersion of laboratories dealing with PVL gene detection.
Moreover the median age was slightly higher than had been previously reported which could be related to the introduction of several novelties in the treatment of severely ill patients since the identification of this pathology.
Another limitation concerns clinical data collection: they were missing or incomplete in 8% of cases. Analysis included only 148 cases for which microbiological and demographic information were available; 13 cases were excluded from further analysis because they lacked data on leukocyte count. Comparisons between the 13 excluded cases and the 148 cases analyzed revealed no significant differences.
Leukopenia may be simply considered as a reflection of disease severity. This is in agreement with in vitro data showing that PVL induces both apoptosis and necrosis in human leukocytes . The time period between the onset of symptoms and hospitalization could be important to reach a certain level of severity and impaired leukocyte count, but it was not different between both groups. On the other hand, multivariate logistic regression was adjusted to the time factor. Furthermore we noticed that factors associated with severe leukopenia were quite different from those associated with mortality.
Based on our results, we can suggest two syndromes of necrotizing pneumonia: 1) those that are mainly related to ILI and direct inoculation of staphylococci to damaged respiratory epithelium, airway hemorrhage, severe leukopenia and death; and 2) those that are mainly related to hematogenous spread from SSTI, less airway hemorrhage, without leukopenia and improved survival. In conclusion, our study emphasizes that S. aureus-necrotizing pneumonia is still an extremely severe disease. We found that some factors could distinguish patients with severe leukopenia from those without leukopenia.
Leukocytes count is promptly available at admission to the hospital and can be easily used to asses the severity of disease as suggested by this paper. The impact of this marker, on patient management, need to be clarified. Empiric therapy should include coverage for S. aureus as soon as possible, without waiting for the bacteriological results.
Clinical data indicate that neutralizing toxin production improves the outcome [26, 27]. The toxin can be blocked by combining a toxin-suppressing agent (e.g., clindamycin, linezolid or rifampin) with bactericidal antibiotics acting on the cell wall .
S. aureus-necrotizing pneumonia is still an extremely severe disease in patients with severe leukopenia. Some factors like leukocytes count could distinguish these patients, allowing better initial identification to initiate adapted, rapid administration of appropriate therapy. This paper could be regarded as a preliminary work. Experts are invited to work on a widely accepted score, validate a score including leukocytes count, to predict the severity of this disease.
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The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2334/13/359/prepub
This work was supported by the European Community’s Seventh Framework Programme. FP7/2007-2013 under grant agreement no. 222718. Funding was used for implementation and management of the database.
We thank the clinicians and microbiologists who sent us clinical data and isolates. We acknowledge the contribution of Prof. René Ecochard and Dr. Muriel Rabilloud from the Department of Biostatistics in Lyon University Hospital. Special thanks to Mr Ovid Da Silva for editing this manuscript.
The authors declare that they have no competing interests.
JE, PV, FV, YG, OD, VM, AT, MB and GL conceived of and designed the study; NK, NS, and PV performed the data analysis; and NK, NS, and JE wrote the paper. All authors read and approved the final manuscript.
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Khanafer, N., Sicot, N., Vanhems, P. et al. Severe leukopenia in Staphylococcus aureus-necrotizing, community-acquired pneumonia: risk factors and impact on survival. BMC Infect Dis 13, 359 (2013). https://doi.org/10.1186/1471-2334-13-359