Evaluation and significance of C-reactive protein in the clinical diagnosis of severe pneumonia

Viral and bacterial microorganisms in Vietnamese children with severe and non-severe pneumonia

To investigate potential respiratory pathogens in children with community-acquired pneumonia (CAP) and risk factors for severe disease. This prospective study was conducted among 467 children at the Thai Binh Paediatric Hospital, Vietnam between 1 July 2020 and 30 June 2021. Clinical data and laboratory results were collected. Twenty-four respiratory microorganisms were tested from nasopharyngeal swabs using real-time PCR. Logistical regression was used to estimate a factor's adjusted odd ratios of the severity of disease. Mean age of patients = 15.4 ± 13.3 months, 63.0% were male. Over 97% of patients had a positive PCR result. 87% of patients were positive for multiple (up to eight) microorganisms. Rhinovirus (46%), respiratory syncytial virus (RSV) (24%), enterovirus (17%), and parainfluenza viruses-3 (13%) were the most frequent viruses. H. influenzae (61%), S. pneumoniae (45%) and M. catarrhalis (30%) were the most common bacteria. 128 (27%) cases were classified as severe pneumonia. Presence of smokers at home (aOR 2.11, 95% CI 1.27-3.52, P value = 0.004), CRP level ≥ 50 mg/dL (aOR  6.11, 95% CI  3.86-9.68, P value < 0.0001), RSV (aOR  1.78, 95% CI  1.07-2.96, P value = 0.03) and H. influenzae (aOR  1.66, 95% CI  1.03-2.67, P value = 0.04) PCR detection associated with a higher risk of severe pneumonia; ,. Causative agents of pneumonia in children are complex. Children positive with RSV and H. influenzae need to be closely monitored to prevent severe pneumonia.

A retrospective study on parapneumonic effusion in 130 dogs with a clinical diagnosis of pneumonia

Objective

To screen the occurrence of parapneumonic effusion in dogs.

Methods

Medical records were searched for dogs with a presumptive diagnosis of bacterial pneumonia from 2017 to 2021 at the Liege university teaching hospital. Bacterial pneumonia was presumptively diagnosed based on compatible clinical signs and findings; thoracic radiographs compatible with bacterial bronchopneumonia; and either increased serum C-reactive protein (CRP) levels, a positive bronchoalveolar lavage culture or a positive clinical evolution in response to antibiotic therapy. Patients diagnosed with parasitic or other non-bacterial inflammatory pneumonia or with pulmonary neoplasia were excluded. Signalment, clinical findings, and outcome were recorded.

Results

One hundred and thirty dogs were included in the study, of which 44 dogs (33.8%) developed a parapneumonic effusion. Four of these dogs (4/44; 9%) had thoracocentesis performed, displaying a modified transudate (2) or septic exudate (2).

Conclusions

Although parapneumonic effusion in dogs with a presumptive diagnosis of bacterial pneumonia appears to be rather common (33.8%), thoracocentesis or chest tube placement was rarely performed. Furthermore, the outcome of dogs with and without parapneumonic effusion appears to be similar.

Validation of risk prediction for outcomes of severe community-acquired pneumonia among under-five children in Amhara region, Northwest Ethiopia

BACKGROUND

Globally there are over 1,400 cases of pneumonia per 100,000 children every year, where children in South Asia and Sub-Saharan Africa are disproportionately affected. Some of the cases develop poor treatment outcome (treatment failure or antibiotic change or staying longer in the hospital or death), while others develop good outcome during interventions. Although clinical decision-making is a key aspect of the interventions, there are limited tools such as risk scores to assist the clinical judgment in low-income settings. This study aimed to validate a prediction model and develop risk scores for poor outcomes of severe community-acquired pneumonia (SCAP).

METHODS

A cohort study was conducted among 539 under-five children hospitalized with SCAP. Data analysis was done using R version 4.0.5 software. A multivariable analysis was done. We developed a simplified risk score to facilitate clinical utility. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) and calibration plot. Bootstrapping was used to validate all accuracy measures. A decision curve analysis was used to evaluate the clinical and public health utility of our model.

RESULTS

The incidence of poor outcomes of pneumonia was 151(28%) (95%CI: 24.2%-31.8%). Vaccination status, fever, pallor, unable to breastfeed, impaired consciousness, CBC abnormal, entered ICU, and vomiting remained in the reduced model. The AUC of the original model was 0.927, 95% (CI (0.90, 0.96), whereas the risk score model produced prediction accuracy of an AUC of 0.89 (95%CI: 0.853-0.922. Our decision curve analysis for the model provides a higher net benefit across ranges of threshold probabilities.

CONCLUSIONS

Our model has excellent discrimination and calibration performance. Similarly, the risk score model has excellent discrimination and calibration ability with an insignificant loss of accuracy from the original. The models can have the potential to improve care and treatment outcomes in the clinical settings.

Performance of host-response biomarkers to risk-stratify children with pneumonia in Bhutan

Pneumonia is the leading cause of post-neonatal death amongst children under five years of age; however, there is no simple triage tool to identify children at risk of progressing to severe and fatal disease. Such a tool could assist for early referral and prioritization of care to improve outcomes and enhance allocation of scarce resources. We compared the performance of inflammatory and endothelial activation markers in addition to clinical signs or scoring scales to risk-stratify children hospitalized with pneumonia at the national referral hospital of Bhutan with the goal of predicting clinical outcome. Of 118 children, 31 evolved to a poor prognosis, defined as either mortality, admission in the paediatric intensive care unit, requirement of chest drainage or requirement of more than five days of oxygen therapy. Soluble triggering receptor expressed on myeloid cells 1 (sTREM-1) was the best performing biomarker and performed better than clinical parameters. sTREM-1 levels upon admission had good predictive accuracy to identify children with pneumonia at risk of poor prognosis. Our findings confirm that immune and endothelial activation markers could be proactively used at first encounter as risk-stratification and clinical decision-making tools in children with pneumonia; however, further external validation is needed.

A retrospective observational study of biomarker levels and severity assessment in pediatric community-acquired pneumonia

METHODS

A retrospective chart review was conducted on children (aged 60 days to 18 years) diagnosed with CAP, and admitted to a regional, tertiary hospital (Charleston, WV, USA) for 3 years (2015-2018). Patients were stratified into 2 severity cohorts, mild (no ICU care), and moderate/severe (required ICU care). Biomarker values were then compared between the severity cohorts and area under the curve (AUC), and cut-off values and performance characteristics were calculated.

RESULTS

A total of 108 patients met inclusion criteria with 46% having moderate/severe CAP. Elevated levels of CRP (51.7 mg/L in mild vs. 104.8 mg/L in moderate/severe, P = .003, PCT (0.29 ng/ml in mild vs. 4.02 ng/mL in moderate/severe, P = .001) and band counts (8% in mild vs. 15% moderate/severe, P = .009) were associated with increased pneumonia severity. In predicting moderate/severe CAP, PCT had the highest AUC of 0.77 (P = .001) followed by bands AUC of 0.69 (P = .009) and CRP AUC of 0.67 (P = .003). Cut-off for PCT of 0.55 ng/mL had a sensitivity of 83% and a specificity of 65%. Cut-off level of 53.1 mg/L for CRP had a sensitivity of 79% and specificity of 52%. Cut off level of 12.5% bands had a sensitivity of 61% and specificity of 71%. In a multivariable model controlled for patient demographics and other biomarker levels, only PCT levels significantly predicted moderate/severe CAP (adjusted odds ratio: 1.40 [95% CI, 1.14-1.73], P = .002).

CONCLUSION

Biomarkers, in particular PCT, obtained early in hospitalization may perform as possible predictors for CAP severity in children and be beneficial in guiding CAP management. However, biomarkers in pneumonia should not drive severity assessment or patient management independent of clinical presentation.

Association of Clinical Signs, Host Biomarkers and Etiology With Radiological Pneumonia in Bhutanese Children

Diagnosing pneumonia and identifying those requiring antibiotherapy remain challenging. Chest radiographs (CXR) are often used as the reference standard. We aimed to describe clinical characteristics, host-response biomarkers and etiology, and assess their relationship to CXR findings in children with pneumonia in Thimphu, Bhutan. Children between 2 and 59 months hospitalized with WHO-defined pneumonia were prospectively enrolled and classified into radiological endpoint and non-endpoint pneumonia. Blood and nasopharyngeal washing were collected for microbiological analyses and plasma levels of 11 host-response biomarkers were measured. Among 149 children with readable CXR, 39 (26.2%) presented with endpoint pneumonia. Identification of respiratory viruses was common, with no significant differences by radiological outcomes. No clinical sign was suggestive of radiological pneumonia, but children with radiological pneumonia presented higher erythrocyte sedimentation rate, C-reactive protein and procalcitonin. Markers of endothelial and immune activation had little accuracy for the reliable identification of radiological pneumonia.

Risk factors for complicated community-acquired pneumonia in children

BACKGROUND

Community-acquired pneumonia (CAP) in children continues to be one of the prominent causes of pediatric morbidity and mortality worldwide. By determining the risk factors associated with the development of complicated CAP (CCAP), new approaches for early diagnosis and effective treatment can be identified.

METHODS

This retrospective cohort study enrolled patients with CAP and CCAP who visited the pediatric ward of the study hospital between January 1, 2017 and December 31, 2017. For patients with CCAP, data regarding medical procedures performed, surgical intervention, and hospitalization duration were collected.

RESULTS

A total of 111 patients, 93 (83.7%) with CAP and 18 (16.3%) with CCAP, aged between 3 months and 18 years were hospitalized because of severe pneumonia. The mean age of the patients was 3.6 ± 1.2 years and 60 (54%) of them were female. The mean age of patients with CCAP was higher than that of patients with CAP (4.2 ± 3.3 vs. 2.8 ± 2.1 years respectively); however, the difference was not significant (p = 0.012). Patients with CCAP exhibited a significantly higher C-reactive protein level than those with CAP (10.06 ± 7.55 vs. 4.43 ± 3.37 g/L respectively; p = 0.007). Hypoxia upon admission was noted more commonly in the CCAP group than in the CAP group (p < 0.001).

CONCLUSION

Findings related to hypoxia, respiratory distress, and pleural effusion on imaging are important distinguishing factors associated with the development of complications in patients hospitalized with CAP. Therefore, CCAP etiology, diagnosis, and treatment approaches should be established and protective measures adopted.

Defining Pneumonia Severity in Children: A Delphi Study

OBJECTIVES

Although community-acquired pneumonia (CAP) is one of the most common infections in children, no standardized risk classification exists to guide management. The objective of this study was to develop expert consensus for factors associated with various degrees of disease severity in pediatric CAP.

METHODS

Using a web-based classical Delphi process, a multidisciplinary panel of 10 childhood pneumonia experts rated the degree of severity (mild, moderate, or severe) of clinical, radiographic, and laboratory factors, as well as outcomes relevant to pediatric pneumonia. Round 1 was open-ended, with panelists freely stating all characteristics they felt determined pneumonia severity. In rounds 2 to 4, panelists used a 9-point Likert scale (1-3, mild; 4-6, moderate; 7-9, severe) to rate severity for each item. Consensus was defined as 70% or greater agreement in ranking mild, moderate, or severe.

RESULTS

Panelists identified 318 factors or outcomes in round 1; the panel reached consensus for 286 (90%). The majority of items without consensus straddled levels of severity (eg, mild-moderate). Notable clinical factors with consensus included age, oxygen saturation, age-based respiratory rate, and gestational age. Severity classification consensus was also reached for specific imaging and laboratory findings. Need for and duration of hospitalization, supplemental oxygen/respiratory support, and intravenous fluids/medications were considered important outcomes in classifying severity.

CONCLUSIONS

This study presents factors deemed important for risk stratification in pediatric CAP by consensus of a multidisciplinary expert panel. This initial step toward identifying and formalizing severity criteria for CAP informs critical knowledge gaps and can be leveraged in future development of clinically meaningful risk stratification scores.

Antibiotic Prescribing Patterns for Hospitalized children with Community-Acquired Pneumonia in a Secondary Care Center

BACKGROUND

Narrow-spectrum antibiotics are recommended as the first-line therapy for management of children hospitalized with community-acquired pneumonia (CAP). There are limited data evaluating the antibiotic prescription patterns for CAP in Saudi Arabia. The goal of this study to report on the antibiotic patterns in children hospitalized with CAP.

METHODS

A prospective cross-sectional study was conducted in children aged 1 month to 13 years who were hospitalized with a diagnosis of CAP at King Khalid Hospital in Majmaah, Saudi Arabia, between January 2019 and January 2020.

RESULTS

Data from 233 patients were collected. The majority of patients received amoxicillin clavulanate (57.9%), followed by ceftriaxone (30%), azithromycin (20.6%), cefuroxime (6%), ampicillin (2.1%), and piperacillin-tazobactam (2.1%). None of our patients were started on narrow-spectrum therapy. The younger age group (1-3 months) and patients with severe pneumonia were more likely to receive broad-spectrum cephalosporin and have a longer hospital stay (P = .000 and P = .002, respectively). However, the 4 months to 5 years age group was more likely to receive amoxicillin clavulanate (P = .001). Male gender was a significate risk factor for patients with severe pneumonia (P=.013) CONCLUSIONS: We demonstrated the inappropriate use of broad-spectrum therapy in children hospitalized with CAP. Further large multicenter studies are necessary to evaluate the patterns of antibiotic use and implement antimicrobial stewardship programs or quality-improvement projects to improve adherence to guidelines.

Comparison of clinical features on admission between coronavirus disease 2019 and influenza a among children: a retrospective study in China

BACKGROUND

Coronavirus disease 2019 (COVID-19) share similar symptoms with influenza A (IA), but it is more worthwhile to understand the disparities of the two infections regarding their clinical characteristics on admission.

METHODS

A total of 71 age-matched pediatric IA and COVID-19 patient pairs were formed and their clinical data on admission were compared.

RESULTS

Fever, cough, nasal congestion and nausea/vomiting were the most common symptoms on admission for both infections but occurred less often in COVID-19. The IA patients were more likely to have lower-than-normal levels of lymphocyte count and percentage and to have higher-than-normal levels of activated partial thromboplastin time, prothrombin time, serum C-reactive protein, and serum procalcitonin, while the COVID-19 patients had higher odds of having lower-than-normal levels of neutrophil count and percentage.

CONCLUSIONS

This study suggests that influenza A is more symptomatic than COVID-19 for children and might be an overall more severe infection at the time of admission.

Attenuated Risk of Pneumonia Due to Inflammation by Frequent Sauna Baths: A PROSPECTIVE COHORT STUDY

PURPOSE

Inflammatory pathways are involved in the pathogenesis of pneumonia. Frequent sauna sessions may reduce the risk of respiratory tract infections including pneumonia independent of inflammation. We aimed to evaluate the independent and joint associations of high-sensitivity C-reactive protein (hsCRP) and frequency of sauna bathing (FSB) with risk of pneumonia in a prospective cohort study.

METHODS

Serum hsCRP as an inflammatory marker was measured using an immunometric assay and FSB was assessed by self-reported sauna bathing habits at baseline in 2264 men aged 42-61 yr. Serum hsCRP was categorized as normal and high (≤3 and >3 mg/L, respectively) and FSB as low and high (defined as ≤1 and 2-7 sessions/wk, respectively). Multivariable-adjusted HRs (CIs) were calculated for incident pneumonia.

RESULTS

A total of 528 cases of pneumonia occurred during a median follow-up of 26.6 yr. Comparing high versus normal hsCRP, the multivariable-adjusted risk for pneumonia was HR = 1.30 (95% CI, 1.04-1.62). The corresponding risk was HR = 0.79 (95% CI, 0.66-0.95) comparing high versus low FSB. Compared with men with normal hsCRP and low FSB, high hsCRP and low FSB was associated with an increased risk of pneumonia in multivariable analysis (HR = 1.67: 95% CI, 1.21-2.29), with no evidence of an association for high hsCRP and high FSB and pneumonia (HR = 0.94: 95% CI, 0.69-1.29).

CONCLUSIONS

In a general middle-aged to older male Caucasian population, frequent sauna baths attenuated the increased risk of pneumonia due to inflammation.

Modified PIRO (predisposition, insult, response, organ dysfunction) severity score as a predictor for mortality of children with pneumonia in Hasan Sadikin Hospital, Bandung, Indonesia

Background

Clinical manifestations for pneumonia vary from mild to severe. The PIRO model (predisposition, insult, response, organ dysfunction) was used as scoring system to determine severity of sepsis and pneumonia in adult patients. The PIRO model was modified for sorting the severity of pneumonia in children and predicting its risk of mortality.

Methods

An ambispective cohort study of pneumonia patients aged 1 month to ≤ 18 years admitted over the period from May to September 2020. Data were collected from history, physical examination, laboratory examination, and chest radiography. Based on bivariate analysis (p<0.05 and relative risk (RR) with 95% confidence interval), variables of each PIRO component that were significant for mortality were assigned a value of 1. The cut-off score for predictor of mortality was calculated using the receiver operating characteristics (ROC) curve and the scores were stratified into three degrees of risk based on interquartile range, score ≤Q1 was categorized as low risk; Q1-Q3 was categorized as moderate risk; and score >Q3 was categorized as high risk.

Results

Out of the 80 subjects enrolled, 6 months-5 years was the largest age group (56.3%). The observed mortality was 15/80 (18.8%). The modified PIRO severity score was compiled from significant variables of predisposition (malnutrition), insult (chest radiograph), response (hypoxemia, hypotension, CRP >0.5 mg/dL, PCT >0.5 ng/dL) and organ dysfunction, with range of score 0-7. Score >3 was categorized as a cut-off point score for predictor of mortality with AUC 0.919 (95% CI 0.836–0.968), sensitivity of 80%, and specificity of 84.62%. Subjects with score >3 have RR of 10.544 compared to those with score ≤3. The stratification of score level was low (≤2), moderate (3-4), and high (5-7). The mortality levels were 0%, 46.7%, and 53.3%, respectively.

Conclusions

Modified PIRO severity score can be used as a sorting tool and predictor of mortality risk in children with pneumonia. This score can also be used to select candidates for intensive care, especially in health facilities with limited intensive care capacity.

The prognostic value of C-reactive protein for children with pneumonia

AIM

To measure the prognostic value of C-reactive protein (CRP) and its ability to predict pneumonia-associated complications.

METHODS

A 3.75-years retrospective cohort analysis of all paediatric emergency department visits with a discharge diagnosis of pneumonia. Visits where CRP was not measured or with a discharge diagnosis of viral pneumonia were excluded. The following five outcomes were studied: hospitalisation, presence of parapneumonic effusion (PPE), placement of a chest drain, admission to paediatric intensive care unit (PICU) and bacteremia. A multivariate model was constructed and validated using k-fold cross-validation.

RESULTS

During the study time period, there were 2561 visits for pneumonia, of which 810 were included in our analysis. The median age of included children was 3.2 years (range 0.2-17.7). Overall, 38.8% visits ended in hospitalisation, 2.2% required admission to PICU, 15.2% were complicated by a PPE of which 28% required the placement of a chest drain. Statistically significant association was found between CRP levels and each of these outcomes (P < .001). Incorporating CRP within a multivariate prediction model provided an area under the curve of up to 0.96.

CONCLUSION

CRP can be a useful prognostic marker when evaluating a patient with suspected bacterial pneumonia and could help the paediatrician in identifying patients needing closer follow-up.

Host Inflammatory Biomarkers of Disease Severity in Pediatric Community-Acquired Pneumonia: A Systematic Review and Meta-analysis

Background

Community-acquired pneumonia (CAP) is the leading cause of death in children. Identification of reliable biomarkers offers the potential to develop a severity quantitative score to assist in clinical decision-making and improve outcomes.

Methods

A systematic review and meta-analysis was performed in PubMed and EMBASE on November 13, 2018, to examine the association between host inflammatory biomarkers and CAP severity in children. The inclusion criteria were case–control, cross-sectional, and cohort studies that examined candidate serum biomarkers. We extracted outcomes of interest, means, and standardized mean differences (SMDs) of plasma and serum levels of biomarkers together with information on disease severity. Meta-analysis was performed. This review was registered in the PROSPERO international registry (CRD42019123351).

Results

Two hundred seventy-two abstracts were identified, and 17 studies were included. Among the biomarkers evaluated, levels of C-reactive protein (CRP; SMD, 0.63; 95% confidence interval [CI], 0.35 to 0.91), interleukin (IL)-6 (SMD, 0.46; 95% CI, 0.25 to 0.66), IL-8 (SMD, 0.72; 95% CI, 0.15 to 1.29), neutrophil count (SMD, 0.27; 95% CI, 0.07 to 0.47), and procalcitonin (SMD, 0.68; 95% CI, 0.20 to 1.15) were substantially increased in severe CAP. In contrast, IL-2 concentrations (SMD, –0.24; 95% CI, –0.45 to –0.03) were higher in nonsevere CAP. Study heterogeneity was reported to be high (I² > 75%), except for IL-2, IL-5, IL-6, and IL-12p70, which were classified as moderate (I² = 50%–74%). Only neutrophil and white blood cell counts were described by studies exhibiting a low level of heterogeneity.

Conclusions

Our results suggest that host biomarkers, and especially CRP, IL-6, IL-8, and procalcitonin levels, have the potential to predict severe CAP in pediatric populations.

Factors Associated With Pneumonia Severity in Children: A Systematic Review

Community-acquired pneumonia in children is associated with significant morbidity and mortality; however, data are limited in predicting which children will have negative outcomes, including clinical deterioration, severe disease, or development of complications. The Pediatric Infectious Diseases Society/Infectious Diseases Society of America (PIDS/IDSA) pediatric pneumonia guideline includes criteria that were modified from adult criteria and define pneumonia severity to assist with resource allocation and site-of-care decision-making. However, the PIDS/IDSA criteria have not been formally developed or validated in children. Definitions for mild, moderate, and severe pneumonia also vary across the literature, further complicating the development of standardized severity criteria. This systematic review summarizes (1) the current state of the evidence for defining and predicting pneumonia severity in children as well as (2) emerging evidence focused on risk stratification of children with pneumonia.

Lectin Microarray Combined with Mass Spectrometry Identifies Haptoglobin-Related Protein (HPR) as a Potential Serologic Biomarker for Separating Nonbacterial Pneumonia from Bacterial Pneumonia in Childhood

PURPOSE

Etiological diagnosis of pediatric patients with community-acquired pneumonia is difficult. For therapy, one of the major problems is the difficulty in separating bacterial pneumonia which would benefit from antibiotics from nonbacterial pneumonia. Therefore, to identify potential biomarkers for distinguishing nonbacterial pneumonia from bacterial pneumonia are sought .

EXPERIMENTAL DESIGN

Lectin microarray containing 91 lectins is used to screen serums from pediatric patients with pneumonia. Lectin-based pull-down assay combined with LC-MS/MS is used to identify the potential biomarkers.

RESULTS

SNA-I, a lectin binding preferentially to α2-6 linked sialic acid residues, shows higher binding signals (near 42 kDa) in the mycoplasma pneumonia group, when compared with the other groups. A total of 18 proteins are identified with LC-MS/MS. By western blot analysis, the authors confirm that the expression of haptoglobin-related protein (HPR) is elevated in pediatric patients with pneumonia compared with normal children (p < 0.001). Furthermore, HPR is higher in the mycoplasma pneumonia group (p < 0.01) and the viral pneumonia group (p < 0.05), when compared with the bacterial pneumonia group.

CONCLUSIONS AND CLINICAL RELEVANCE

These results indicate that HPR is a potential serologic biomarker which can differentiate between bacterial pneumonia and nonbacterial pneumonia. Detection of serum HPR might be useful for clinical diagnosis.

VCS parameters of neutrophils, monocytes and lymphocytes may indicate local bacterial infection in cancer patients who accepted cytotoxic chemotherapeutics

Bacterial infections increased greatly in cancer patients who accepted cytotoxic chemotherapeutics. VCS parameters of neutrophils were reported to be an indicator for acute bacterial infection accompanied by increased WBC counts. Here we explored the possibility of VCS parameters of neutrophils, monocytes and lymphocytes in indicating the local bacterial infection in cancer patients. A total of 310 cancer patients and 90 healthy controls were retrospectively analyzed, and 190 of them were diagnosed as acute local bacterial infection. The VCS parameters acquired from a Beckman Coulter LH750 haematology analyzer were investigated to determine which VCS parameters could indicate local bacterial infection in cancer patients with leucopenia caused by cytotoxic agents. VCS parameters of cancer patients were significantly affected by infection. For diagnosing bacterial infection of cancer patients, the best single indicator was mean monocyte light scatter (MMS) with a sensitivity of 95.12 % and a specificity of 58.82 % and the area under the curve (AUC) was 0.792. A combination of the following five parameters: mean neutrophil volume (MNV), MMS, mean lymphocyte conductivity (MLC), mean lymphocyte light scatter (MLS) and neutrophil volume distribution width (NDW) could provide a better index in diagnosing bacterial infection than any single parameter (sensitivity 75.8 %, specificity 64.72 %, AUC 0.763). Taking WBC counts into consideration, VCS parameters could better indicate bacterial infection for cancer patients with abnormal WBC level than that with normal WBC level. Aside from neutrophils, the VCS of monocytes and lymphocytes were also ideal indicators for bacterial infection. The combination of VCS parameters could increase the sensitivity, specificity and accuracy of diagnosis of cancer patients.