Skip to main content
Asian Pacific Journal of Cancer Prevention : APJCP logoLink to Asian Pacific Journal of Cancer Prevention : APJCP
. 2020 Dec;21(12):3487–3492. doi: 10.31557/APJCP.2020.21.12.3487

Predictive Factors of Severe Adverse Events in Pediatric Oncologic Patients with Febrile Neutropenia

Jutarat Thangthong 1, Suvaporn Anugulruengkitt 2,3, Supanun Lauhasurayotin 4,5, Kanhatai Chiengthong 4,5, Hansamon Poparn 4,5, Darintr Sosothikul 4,5, Piti Techavichit 4,5,*
PMCID: PMC8046322  PMID: 33369443

Abstract

Objectives:

Febrile neutropenia (FN) is severe and potentially life-threatening in oncologic patients. The objective of this study is to define the factors associated with severe adverse outcomes of pediatric FN.

Methods:

A retrospective and prospective descriptive study performed in pediatric patients diagnosed with FN at King Chulalongkorn Memorial Hospital from January 2013 to December 2017. Severe adverse events defined as the presence in one of these following oxygen therapies, mechanical ventilator, shock, admission to ICU, renal dysfunction, and liver dysfunction.

Results:

The study included 267 patients with 563 febrile neutropenia episodes. The median (range) age was 5.1 years (1 month-15 year). Among 563 febrile neutropenia episodes, 115 episodes (20%) developed severe adverse events. The FN patients were classified into low and high-risk groups, 91% of patients with severe adverse events and all 21 patients who died were in high risk group. The overall mortality rate was 3.1%. Factors associated with severe adverse events were fungal infection (aOR 6.51, 95%CI 2.29-18.56), central venous catheter insertion (aOR 4.28, 95% CI 2.51-7.29), CPG defined high risk (aOR 3.35, 95%CI 1.56-7.17), viral infection (aOR 2.72, 95%CI 1.05-7.06), lower respiratory tract infection (aOR 2.52, 95%CI 1.09-5.82) and treatment not according to CPG (aOR 2.47, 95% CI 1.51-4.03).

Conclusions:

Fungal and viral infection, central venous catheter insertion, lower respiratory tract infection, CPG defined high risk and treatment not according to CPG were associated factors of increased risk for severe adverse events. Our current institutional CPG for FN in children was applicable and improved clinical outcomes for this group of patients.

Key Words: Febrile neutropenia, neutropenic fever, pediatric cancer

Introduction

Febrile neutropenia (FN) is a common problem which is seriously and potentially life-threatening in the patient who received chemotherapy (Lehrnbecher et al., 2017). Prompt treatment and administration broad-spectrum intravenous antibiotics are necessary to reduce mortality and improve outcomes in treatment (Das et al., 2016).

It is crucial to develop the risk-stratification models to identify the patients at low and high risk of severe complications to deliver the most appropriate management to individual patients (Klastersky, 2004; Sipsas et al., 2005). Our institution has developed the clinical practice guideline for FN since 2013, which focuses on FN in children and adolescents with cancer. It should be appropriate to administer less aggressive treatment in low-risk patients to avoid treatment-related complications such as multidrug-resistant and prolong hospitalization (Klastersky, 2004; Lucas et al., 2018).

Previous studies classified patients into low and high-risk groups to develop adverse events using multiple clinical factors(Lehrnbecher et al., 2017; Freifeld et al., 2011). High-risk group define in patients with neutropenia (ANC <500 cell/m3) anticipated to last more than seven days, evidence of hepatic or renal insufficiency, infants with acute lymphoblastic leukemia, patients with acute myeloid leukemia (Hakim et al., 2010), patients within 30 days of hematopoietic cell transplant (HCT) and comorbid medical problems (such as hemodynamic instability, gastrointestinal symptoms, signs of intravascular catheter infection) (Rondinelli et al., 2006; Ammann et al., 2010).

The objective of this study is to define the factors associated with severe adverse outcomes in pediatric patients with FN using our institutional clinical practice guideline.

Materials and Methods

Study population and design

This study was conducted at Department of Pediatrics, King Chulalongkorn Memorial Hospital (KCMH), Bangkok, Thailand. Retrospectively review of the medical records from January 2013 to December 2017 using ICD-10 code: D70 (agranulocytosis) in patients aged less than 15 years were performed. Clinical data collection includes age, gender, underlying disease, stage of cancer, types of cancer, status of disease, chemotherapy regimens, time of fever prior to admission, prophylaxis granulocyte stimulating growth factor (G-CSF), treatment, and complications.

Definition

Febrile neutropenia was defined as a single oral body temperature (BT) greater than 38.3oC or more than 38.0oC and sustain 1 hour (Freifeld et al., 2011) while neutropenia defines as absolute neutrophil count (ANC) less than 500 cells/mm3 or ANC less than 1,000 cells/mm3 and predict to decrease until less than 500 cells/mm3 within 48 hours later (Freifeld et al., 2011).

Severe adverse events defined as the presence in one of these following oxygen therapy, mechanical ventilator, shock, admission to intensive care, renal dysfunction, and liver dysfunction (Anirban et al., 2016; Prasad et al., 2014). Shock defined as systolic blood pressure lower than the 5th percentile for an age-matched normal range required fluid resuscitation or inotropic agents to raise blood pressure (Balazs et al., 2017). Hypoxia defined as oxygen saturation lower than 90% using a pulse oximeter (Wilson et al., 2010). Renal dysfunction was defined as serum creatinine greater than 0.5 mg/dL or raising above two times of upper limit for age or raising 2-fold increase in baseline creatinine value (David A et al., 2020). Hepatic dysfunction was defined as total bilirubin greater than 4 mg/dL, alanine transaminase level above two times upper limit for age (David A et al., 2020). Mortality rate was assessed within 2 weeks of the onset of febrile neutropenia.

KCMH clinical practice guideline for management of febrile neutropenia

According to our institutional clinical practice guideline, the eligible patient is patient who present with acute febrile illnesses which body temperature higher than 38 degree Celsius and had one of the following conditions include chemotherapy or radiotherapy treatment or history of bone marrow transplantation. These patients will be immediately evaluated for vital signs and clinical symptoms of severe infection and will be investigated as septic workup and received intravenous ceftriaxone within one hour. Patients categorize into a high- and low-risk group using risk assessment group criteria. All high-risk patients will receive treatment with piperacillin/tazobactam, while low-risk patients will receive ceftazidime plus amikacin if ANC <500 cells/mm3.

The patient defines as high-risk by one of the following: signs and symptoms of sepsis, ANC less than 100 cells/mm3, ANC less than 1,500 cells/mm3 with adverse event (AE) score more than 9, underwent BMT within 100 days, active graft versus host disease, receive more than two immunosuppressants. AE score is the summation of the following clinical scores, which are chemotherapy other than maintenance phase of acute lymphoblastic leukemia (4 points), hemoglobin higher than 9 g/dl (5 points), WBC less than 300 cells/mm3 (3 points), and platelet less than 50,000 cells/mm3 (3 points) (Figure 1).

Figure 1.

Figure 1

Clinical Practice Guideline for the Management of Febrile Neutropenia at King Chulalongkorn Memorial Hospital

Treatment not according to CPG defined as all episodes that not received medication in low-or high- risk group and not follow each steps of managements.

Statistical analysis

Categorical variables were expressed as numbers and percentages. Continuous variables were expressed as medians and ranges. Risks factors associated with severe adverse events were compared using Mann-Whitney test or Fisher’s exact test as appropriate. We assessed the potential association of factors associated with severe complications of febrile neutropenia by using univariate and multivariate logistic regression analysis. Statistical analysis was performed using SPSS version 22. The univariate analysis that p-value <0.1 were considered to analyze by multivariate analysis and p-value <0.05 was considered significant.

Results

Patient’s characteristics

From January 2013 to December 2017, there was 1,244 admissions according to ICD-10 code D63.0, D70.1 and D69.6 with a diagnosis of anemia in neoplastic disease, agranulocytosis and thrombocytopenia. Seven hundred ninety-six admissions were excluded because of repeated patients and a lack of confirmed diagnosis of febrile neutropenia. A total of 267 patients with 448 admission and 563 FN episodes were included. The median (range) age of patients were 5.1 years (1 month - 15 years) with male predominate (60%). One hundred ninety-one patients (71.5%) had hematologic malignancy including ALL, AML and lymphoma. Patients demographic data were shown in Table 1.

Table 1.

Demographic Data of 267 Patients with Febrile Neutropenia

Patient characteristics Number (%)
Age, years (median, range) 5.1 (1 month - 15 years)
Male 151 (56.6)
Chemotherapy
Induction for leukemia 75 (27.5)
Other chemotherapy 192 (72.5)
Underlying diseases
Hematologic malignancy 191 (71.5)
Acute lymphoblastic leukemia 114 (42.7)
Acute myeloid leukemia 44 (16.5)
Lymphoma 20 (7.5)
Other* 13 (4.8)
Solid tumor 76 (28.5)
Brain tumor 23 (8.6)
Neuroblastoma 17 (6.4)
Rhabdomyosarcoma 7 (2.6)
Osteosarcoma 5 (1.9)
Hepatoblastoma 4 (1.5)
Ewing sarcoma 4 (1.5)
Retinoblastoma 4 (1.5)
Other** 12 (4.5)

* Hemophagocytic lymphohistiocytosis, Langerhans cell histiocytosis, Chronic myeloid leukemia, Juvenile myelomonocytic leukemia; **, Wilms’ tumor, Primitive neuroectodermal tumor, Extrarenal rhabdoid tumor, Small cell lung cancer, Soft tissue sarcoma, Atypical teratoid rhabdoid tumor, Yolk sac tumor, Mix germ cell tumor

Febrile neutropenia episodes

The characteristics of FN episodes were shown in table 2. Median (range) time of fever prior to admission was 1 (0-60) day. Median (range) time from the most recent chemotherapy treatment was 10 (0-148) days. Median (range) duration of neutropenia was 8 (1-49) days. At the time of FN diagnosis, median (range) of hemoglobin (Hb) was 9.5 (2.7-26) g/dl, white blood cell counts 670 (10-235,150) cells/mm3, absolute neutrophil counts 70 (0-9,522) cells/mm3 and platelet 79,092 (1,000-601,000) cells/mm3. Two hundred seventy-nine episodes (49.6%) had fever without localizing source of infection, 192 (34.1%) had microbiologically documented infections and 92 episodes (16.3%) had clinically documented infection. Among microbiologically documented infection, there were 154 (80%) bacteria, 32 (16%) virus, 27 (14%) fungus and 1 (0.5%) Mycobacterium tuberculosis. Lower respiratory tract infection was found in 13 (2.3%) episodes.

Table 2.

Baseline Characteristics of 563 Febrile Neutropenia Episodes

Febrile neutropenia characteristics
Median (range) time of fever prior to admission (days) 1 (0,60)
Interval since last chemotherapy (days) (Median, range) 10 (0,148)
Laboratory results at the time of febrile neutropenia diagnosis– Median (range)
Hemoglobin, g/dl 9.5 (2.7-26)
White blood cell count, cells/mm3 670 (10-235,150)
Absolute neutrophil count, cells/mm3 70 (0-9,522)
Platelet, cells/mm3 79,092
(1,000-601,000)
Duration of fever in days (mean±SD) 4.8±4.7
Etiology of fever, n (%)
Fever of unknown origin 279 (49.6)
Microbiologically documented infection 192 (34.1)
Clinically documented infection 92 (16.3)
Type of pathogen, (n, %)
Bacteria 154 (27.3)
Virus 32 (5.7)
Fungus 27 (4.8)
Duration of neutropenia (days) (Median, range) 8 (1,49)
Median (range) interval from last chemotherapy (days) 10 (0-148)
Previous history of febrile neutropenia (n, %) 337 (59)
Antifungal therapy in the past 6 months (n, %) 123 (21.8)
G-CSF use (n, %) 164 (29.1)
Steroid in the past 14 days (n, %) 226 (40.1)
Central venous catheter (n, %) 226 (40.1)
High risk in CPG (n, %) 426 (75.7)
Follow CPG (n, %) 373 (66)
Mortality within 2 weeks of febrile episode, (n, %) 21 (3.7)

G-CSF,Granulocyte colony stimulating factor

According to our clinical practice guideline, 426 (76%) episodes were defined as high risk group. Three hundred seventy-three (66%) patients receive treatment follow KCMH clinical practice guideline.

Severe adverse events

Among 563 FN episodes, there were 115 (20%) episodes developed severe adverse events which 105 episodes of these were in the high-risk group. Risk categorized of febrile neutropenia by KCMH guideline was shown in Figure 2. Severe adverse events were patients needed oxygen therapy in 110 (95.6%), shock in 100 (86.9%), and admitted in intensive care in 78 (67.8%) episodes. Renal and liver dysfunctions found in 24 (20.8%) and 8 (6.9%) episodes respectively. The summarized of severe adverse events were shown in Table 3. Twenty-one patients were died, which all of these were high risk group.

Figure 2.

Figure 2

Risk Categorized of Febrile Neutropenia by KCMH Guideline

Table 3.

Characteristics of Severe Adverse Events (n = 115)

Severe adverse events Number (%)
Oxygen therapy 110 (95.6)
Mechanical ventilation 37 (32.1)
Shock 100 (86.9)
Admission to intensive care unit 78 (67.8)
Renal dysfunction 24 (20.8)
Liver dysfunction 8 (6.9)

Risk factors of severe adverse events

Risk factors of severe adverse events were shown in Table 4. AML, CPG defined high risk patients, induction chemotherapy, central venous catheter usage were significantly associated with severe adverse outcome (P <0.001 and P < 0.001 respectively).

Table 4.

Comparison Risk Factors Associated with Severe Adverse Events

Variables Severe adverse events
(N= 115)
Without severe adverse events
(N= 448)
P-value
Type of malignancy, (n, %)
Acute lymphoblastic leukemia, High risk 33 (28.7) 119 (26.6) 0.639
Acute lymphoblastic leukemia, Standard risk 8 (7) 65 (14.5) 0.03
Acute myeloid leukemia 40 (34.8) 100 (22.3) 0.008
High risk group, (n, %) 105 (91.0) 321 (71.0) <0.001
Chemotherapy-induction for leukemia, (n, %) 22 (40) 53 (25) 0.042
Treatment not according to CPG, (n, %) 54 (47) 134 (29.9) 0.01
Previous history of febrile neutropenia, (n, %) 63 (49.4) 274 (61.2) 0.492
G-CSF use, (n, %) 35 (30.4) 129 (28.8) 0.731
Steroids use, (n, %) 53 (46.1) 173 (38.6) 0.166
Central venous catheter insertion, (n, %) 83 (72.2) 143 (31.9) <0.001
Antifungal use in past 6 months, (n, %) 29 (25.2) 94 (21.0) 0.376
Type of pathogen, (n, %)
Bacteria 43 (37.3) 111 (24.7) 0.009
Virus 11 (9.5) 21 (4.7) 0.067
Fungus 17 (14.7) 10 (2.2) <0.001

G-CSF, Granulocyte colony stimulating factor; CPG, clinical practice guideline; Mann-Whitney Test and Fisher's exact test

The univariable analysis of factors associated with severe adverse events of febrile neutropenia were shown in Table 5. Factors associated with severe adverse events of febrile neutropenia were acute myeloid leukemia (OR 1.86, 95%CI 1.16-2.95), lower respiratory tract infection (OR 5.34, 95% CI 2.58-11.04), fungal infection (OR 7.88, 95% CI 3.16-20.76), central venous catheter insertion (OR 5.53%, 95% CI 3.44-8.99), CPG defined high risk (OR 4.15, 95% CI 2.08-9.19) and treatment not according to CPG (OR 2.07, 95% CI 1.33-3.22). Patients with standard risk of ALL have a significant lower risk of severe adverse events during the treatment (OR 0.44, 95%CI 0.18-0.96).

Table 5.

Univariate and Multivariate Analysis of Factors Associated with Severe Adverse Events of Febrile Neutropenia

Univariate
Multivariate
Variables Odds ratio 95% CI P-value Adjusted Odds ratio 95% CI P-value
Type of malignancy
ALL, High risk 1.11 (0.68 to 1.79) 0.646 0.78 (0.41 to 1.48) 0.448
ALL, Standard risk 0.44 (0.18 to 0.96) 0.032 0.47 (0.19 to 1.2) 0.114
AML 1.86 (1.16 to 2.95) 0.006 0.92 (0.49 to 1.74) 0.809
High risk group 4.15 (2.08 to 9.19) <0.001 3.35 (1.56 to 7.17) 0.002
Treatment not according to CPG 2.07 (1.33 to 3.22) 0.001 2.47 (1.51 to 4.03) <0.001
Chemotherapy – Induction for leukemia 1.79 (1.13 to 2.82) 0.008 1.02 (0.59 to 1.75) 0.945
Central venous catheter use 5.53 (3.44 to 8.99) <0.001 4.28 (2.51 to 7.29) <0.001
Type of pathogen
Bacteria 1.86 (1.16 to 2.94) 0.006 1.66 (0.98 to 2.79) 0.058
Virus 2.04 (0.82 to 4.72) 0.072 2.72 (1.05 to 7.06) 0.04
Fungus 7.88 (3.16 to 20.76) <0.001 6.51 (2.29 to 18.56) <0.001
Lower respiratory tract infection 5.34 (2.58 to 11.04) <0.001 2.52 (1.09 to 5.82) 0.031

ALL, Acute lymphoblastic leukemia; AML, Acute lymphoblastic leukemia

Furthermore, multivariable analysis found factors associated with severe adverse events (Table 5) were fungal infection (aOR 6.51, 95%CI 2.29-18.56), central venous catheter insertion (aOR 4.28, 95% CI 2.51-7.29), CPG defined high risk (aOR 3.35, 95%CI 1.56-7.17), viral infection (aOR 2.72, 95%CI 1.05-7.06), lower respiratory tract infection (aOR 2.52, 95%CI 1.09-5.82) and treatment not according to CPG (aOR 2.47, 95% CI 1.51-4.03).

Discussion

Our study demonstrated that one-fifth of febrile neutropenia developed severe adverse events. Factors associated with severe adverse events of febrile neutropenia were acute myeloid leukemia, lower respiratory tract infection, fungal infection, central venous catheter insertion, and treatment not according to CPG. The mortality rate was approximately 3% and all of the patients with mortality were in CPG defined high-risk group.

In our study, hematologic malignancy is the most common underlying disease of patients with FN that accounting for two third of the patients. Our time prior to admission was 1 day that shorter previous studies (Vathana et al., 2017; Sanpakit et al., 2005). Median ANC is <100 mm3 which is similar (Vathana et al., 2017; Sanpakit et al., 2005; Allaway et al., 2019).

It has been reported that risk factors for severe infection in children with cancer or HCT recipients include (Freifeld et al., 2011): chemotherapy intensity, central venous catheter insertion (Allaway et al., 2019) breakdown of skin and mucosal barriers (e.g. mucositis). In our univariable analysis study found that AML, induction chemotherapy, lower respiratory tract infection, fungal infection, central catheter use, and treatment not according to CPG are predictive factors associated with severe adverse events. Compared with the previous study, hematologic malignancy associated with poor outcomes in febrile neutropenia (Klastersky, 2004) but our study found only AML associated with severe adverse events and ALL standard risk seems to be a protective factor. Induction chemotherapy in leukemia associated with severe adverse, while the other found chemotherapy more invasive than ALL maintenance associated with adverse events (Ammann et al., 2010). The previous study found the same result that central venous catheter insertion associated with severe adverse events (Wicki et al., 2008) and some study found that presence of significant focus of infection associated with poor outcomes (Prasad et al., 2014). However, we found only lower respiratory tract infection that significantly associated with severe adverse events. Fungal infection associated with poor outcomes and survival in our study and previous study (Kobayashi et al., 2018).

Ninety percent of patients with severe adverse events were in a high-risk group defined by CPG. Also, all of the patients with mortality were in this risk group in CPG. Therefore, clinical factors using the define risk group in our institutional CPG is validated and likely to predict for an outcome in this group of patients.

The limitations of our study are a retrospective study, and some patient data may have been missing or incomplete. Our center is Thailand’s tertiary referral university-based hospital, in which most of the patients were complicated and had various medical conditions. It is possible that our findings may not be generalizable to patients with the same condition in settings other than a university-based hospital.

In conclusion, Fungal and viral infection, central venous catheter insertion, lower respiratory tract infection, CPG defined high risk and treatment not according to CPG are significantly increased risk for severe adverse events in these patients. Our current institutional CPG for FN in children was applicable and improved clinical outcome for this group of patients.

Materials and Methods

This study was approved by the ethics committee from Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand (IRB no.364/61).

Author’s contributions

JT, SA, and PT designed and reviewed the results. JT and PT wrote and revised the manuscript.

All authors read and approved the final version of the manuscript.

Statement conflict of Interest

The authors disclose no potential conflicts of interest.

References

  1. Allaway Z, Phillips RS, Thursky KA, Haeusler GM. Nonneutropenic fever in children with cancer: a scoping review of management and outcome. Pediatr Blood Cancer. 2019;66:e27634. doi: 10.1002/pbc.27634. [DOI] [PubMed] [Google Scholar]
  2. Ammann RA, Bodmer N, Hirt A, et al. Predicting adverse events in children with fever and chemotherapy-induced neutropenia: the prospective multicenter spog 2003 fn study. J Clin Oncol. 2010;28:2008–14. doi: 10.1200/JCO.2009.25.8988. [DOI] [PubMed] [Google Scholar]
  3. Balázs G, Szima S, Elek N, Dahlem P. Pediatric sepsis: clinical considerations. J Child Sci. 2017;7:60–75. [Google Scholar]
  4. Das A, Trehan A, Oberoi S, Bansal D. Validation of risk stratification for children with febrile neutropenia in a pediatric oncology unit in india. Pediatr Blood Cancer. 2016;64:e26333. doi: 10.1002/pbc.26333. [DOI] [PubMed] [Google Scholar]
  5. Freifeld AG, Bow EJ, Sepkowitz KA, et al. Clinical practice guideline for the use of antimicrobial agents in neutropenic patients with cancer: 2010 update by the infectious diseases society of america. Clin Infect Dis. 2011;52:56–93. doi: 10.1093/cid/cir073. [DOI] [PubMed] [Google Scholar]
  6. Hakim H, Flynn PM, Srivastava DK, et al. Risk prediction in pediatric cancer patients with fever and neutropenia. Pediatr Infect Dis J. 2010;29:53. doi: 10.1097/INF.0b013e3181c3f6f0. [DOI] [PubMed] [Google Scholar]
  7. Klastersky J. Management of fever in neutropenic patients with different risks of complications. Clin Infect Dis. 2004;39:32–3. doi: 10.1086/383050. [DOI] [PubMed] [Google Scholar]
  8. Kobayashi R, Hori D, Sano H, et al. Risk factors for invasive fungal infection in children and adolescents with hematologic and malignant diseases. Pediatr Infect Dis J. 2018;37:1282–5. doi: 10.1097/INF.0000000000002010. [DOI] [PubMed] [Google Scholar]
  9. Lehrnbecher T, Robinson P, Fisher B, et al. Guideline for the management of fever and neutropenia in children with cancer recipients: 2017 UPDATE. J Clin Oncol. 2017;35:2082–94. doi: 10.1200/JCO.2016.71.7017. [DOI] [PubMed] [Google Scholar]
  10. Lucas AJ, Olin JL, Coleman MD. Management and preventive measures for febrile neutropenia. P T. 2018;43:228–32. [PMC free article] [PubMed] [Google Scholar]
  11. Prasad M, Chinnaswamy G, Arora B, et al. Risk predictors for adverse outcome in pediatric febrile neutropenia: single center experience from a low and middle-income country. Indian J Cancer. 2014;51:432–7. doi: 10.4103/0019-509X.175321. [DOI] [PubMed] [Google Scholar]
  12. Rondinelli PI, Ribeiro Kde C, de Camargo B. A proposed score for predicting severe infection complications in children with chemotherapy-induced febrile neutropenia. J Pediatr Hematol Oncol. 2006;28:665–70. doi: 10.1097/01.mph.0000212996.94929.0b. [DOI] [PubMed] [Google Scholar]
  13. Sanpakit K, Phuakpet K, Veerakul G, Narkbunnam N, Chokephaibulkit K. Evaluation of guideline for treatment of febrile neutropenia in pediatric cancer at siriraj hospital. J Med Assoc Thai. 2005;88:124–34. [PubMed] [Google Scholar]
  14. Sipsas NV, Bodey GP, Kontoyiannis DP. Perspectives for the management of febrile neutropenic patients with cancer in the 21st century. Cancer J. 2005;103:1103–13. doi: 10.1002/cncr.20890. [DOI] [PubMed] [Google Scholar]
  15. Vathana N, Thitipolpun S, Buaboonnam J, Phuakpet K, Sanpakit K. Prevalence of pathogens in pediatric cancer patients with febrile neutropenia. Southeast Asian J Trop Med Public Health. 2017;48:151–60. [Google Scholar]
  16. Wicki S, Keisker A, Aebi C, et al. Risk prediction of fever in neutropenia in children with cancer: a step towards individually tailored supportive therapy. Pediatr Blood Cancer. 2008;51:778–83. doi: 10.1002/pbc.21726. [DOI] [PubMed] [Google Scholar]
  17. Wilson BJ, Cowan HJ, Lord JA, Zuege DJ, Zygun DA. The accuracy of pulse oximetry in emergency department patients with severe sepsis and septic shock: a retrospective cohort study. BMC Emerg Med. 2010;10:9. doi: 10.1186/1471-227X-10-9. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Asian Pacific Journal of Cancer Prevention : APJCP are provided here courtesy of West Asia Organization for Cancer Prevention

RESOURCES