Predicting neutropenia after chemotherapy for lymphoma

Predictors for chemotherapy-related severe or febrile neutropenia: a review of the clinical literature

Purpose. This paper summarizes a literature review of the risk factors and predictors for chemo-therapy-related severe or febrile neutropenia (grades 3 and 4). It explores the extent to which the literature supports the current ASCO guidelines, and assesses the feasibility of developing a predictive algorithm for patients who would benefit from rHuG-CSF (Neupogen).

Methods. An electronic literature search for English articles and abstracts identified 718 abstracts for review. From these, 121 articles were reviewed in depth. The review captured risk factors and predictors for grade 3-4 and/or febrile neutropenia, study design, patient characteristics, chemotherapy treatment, and the incidence of grade 3-4 and/or febrile neutropenia.

Results. Twenty-eight potential risk factors and predictors for severe or febrile neutropenia among cancer patients were identified and could be classified as patient-related, treatment-related, or disease-related characteristics. Some results were inconsistent across studies due to a lack of standardized methods of assessment and reporting. Approximately 1/3 of the factors were mentioned in more than one study and provided information on the statistical significance of findings. Several factors had cross-study support of their value and confirmed previous findings. Strong predictors of severe/febrile neutropenia included advanced age, performance status, myelosuppressive chemotherapy regimen, early low blood counts, the depth of the absolute neutrophil count (ANC) nadir, and a precipitous, early drop in blood counts of all hematopoietic cell types.

Conclusions. This literature review identified several key predictors and risk factors for development of grades 3 and 4 neutropenia in cancer patients. While additional confirmation is needed, there is sufficient consistency in the literature to support use of risk factors to identify patients who may need supportive care. Some of these risk factors were included in the ASCO CSF guidelines for the use of prophylactic support such as G-CSF; however, the ASCO publications have not included other important risk factors, such as age and early reduced ANC levels.

Prognostic factors for risk stratification of adult cancer patients with chemotherapy-induced febrile neutropenia: a systematic review and meta-analysis

BACKGROUND

Increasing numbers of studies identify new prognostic factors for categorising chemotherapy-induced febrile neutropenia adult cancer patients into high- or low-risk groups for adverse outcomes. These groupings are used to tailor therapy according to level of risk. However many emerging factors with prognostic significance remain controversial, being based on single studies only.

OBJECTIVES

A systematic review was conducted to determine the strength of association of all identified factors associated with the outcomes of chemotherapy-induced febrile neutropenia patients.

INCLUSION CRITERIA

The participants included were adults of 15 years old and above, with a cancer diagnosis and who underwent cancer treatment.The review focused on clinical factors and their association with the outcomes of cancer patients with chemotherapy-induced febrile neutropenia at presentation of fever.All quantitative studies published in English which investigated clinical factors for risk stratification of adult cancer patients with chemotherapy-induced febrile neutropenia were considered.The primary outcome of interest was to identify the clinical factors for risk stratification of adult cancer patients with chemotherapy-induced febrile neutropenia.

SEARCH STRATEGY

Electronic databases searched from their respective inception date up to December 2011 include MEDLINE, EMBASE, CINAHL, Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science, Science-Direct, Scopus and Mednar.

METHODOLOGICAL QUALITY

The quality of the included studies was subjected to assessment by two independent reviewers. The standardised critical appraisal tool from the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was used to assess the following criteria: representativeness of study population; clearly defined prognostic factors and outcomes; whether potential confounders were addressed and appropriate statistical analysis was undertaken for the study design.

DATA COLLECTION

Data extraction was performed using a modified version of the standardised extraction tool from the JBI-MAStARI. Prognostic factors and the accompanying odds ratio reported for the significance of these factors that were identified by multivariate regression, were extracted from each included study.

DATA SYNTHESIS

Studies results were pooled in statistical meta-analysis using Review Manager 5.1. Where statistical pooling was not possible, the findings were presented in narrative form.

RESULTS

Seven studies (four prospective cohort and three retrospective cohort) investigating 22 factors in total were included. Fixed effects meta-analysis showed: hypotension [OR=1.66, 95%CI, 1.14-2.41, p=0.008] and thrombocytopenia [OR=3.92, 95%CI, 2.19-7.01, p<0.00001)] were associated with high-risk of adverse outcomes for febrile neutropenia. Other factors that were statistically significant from single studies included: age of patients, clinical presentation at fever onset, presence or absence of co-morbidities, infections, duration and severity of neutropenia state. Five prognostic factors failed to demonstrate an association between the variables and the outcomes measured and they include: presence of pneumonia, total febrile days, median days to fever, recovery from neutropenia and presence of moderate clinical symptoms in association with Gram-negative bacteraemia.

CONCLUSIONS

Despite the overall limitations identified in the included studies, this review has provided a synthesis of the best available evidence for the prognostic factors used in risk stratification of febrile neutropenia patients. However, the dynamic aspects of prognostic model development, validation and utilisation have not been addressed adequately thus far. Given the findings of this review, it is timely to address these issues and improve the utilisation of prognostic models in the management of febrile neutropenia patients.

IMPLICATIONS FOR PRACTICE

The identified factors are similar to the factors in current prognostic models. However, additional factors that were reported to be statistically significant in this review (thrombocytopenia, presence of central venous catheter, and duration and severity of neutropenia) have not previously been included in prognostic models. This review has found these factors may improve the performance of current models by adding or replacing some of the factors.

IMPLICATIONS FOR RESEARCH

The role of risk stratification of chemotherapy-induced febrile neutropenia patients continues to evolve as the practice of risk-based therapy has been demonstrated to be beneficial to patients, clinicians and health care organisations. Further research to identify new factors /markers is needed to develop a new model which is reliable and accurate for these patients, regardless of cancer types. A robust and well-validated prognostic model is the key to enhance patient safety in the risk-based management of cancer patients with chemotherapy-induced febrile neutropenia.

Early lymphopenia as a risk factor for chemotherapy-induced febrile neutropenia

Febrile neutropenia (FN) is a frequent complication of cancer chemotherapy, which causes death in 4-21% of patients and worsens the quality of life of patients. As a simple and accurate way of identifying patients who are at risk of FN, a lymphocyte count on post-chemotherapy day 5 was suggested. To confirm the feasibility of this method and to define the incidence of FN among our own patient group, we conducted this prospective study. From September 2001 to February 2002, patients who received cytotoxic chemotherapy at Guro Hospital, Korea University, were enrolled. Blood sampling for a complete blood count was done on the starting day of chemotherapy and on day 3 and day 5 post-chemotherapy. The prospective results of the CBC were compared between the FN group and non-FN group. During the study period, 82 patients were enrolled. The male to female ratio was 52:30, and the median age was 56 years old (range: 14-78). Underlying malignancies were non-Hodgkin's lymphoma (14 patients), stomach cancer (17), breast cancer (11), NSCLC (7), hepatobiliary cancer (10), sarcoma (3), colorectal cancer (3), and others (17). The incidence of FN was 18% (15/82 patients), and ANC at the time of FN was 275 +/- 327/ micro l. Duration of fever was 3.9 +/- 3.5 days. The incidence of FN was significantly higher in patients with lymphocyte counts at day 3 < or = 500/micro l (P = 0.06), day 5 < or = 500/micro l (P = 0.023), day 3 < or = 700/micro l (P = 0.01), and day 5 < or = 700/micro l (P = 0.0001). As a result of a logistic regression test, a day-5 lymphocyte count < or = 700/ micro l was identified as an independent risk factor for FN. In conclusion, a day-5 lymphocyte count <700/micro l was a risk factor for FN. To strengthen our result, we are planning to validate in a larger patient group.

A predictive model for life-threatening neutropenia and febrile neutropenia after the first course of CHOP chemotherapy in patients with aggressive non-Hodgkin's lymphoma

The purpose of this study was to develop a model for predicting the occurrence of life-threatening neutropenia (LN, ANC < or = 0.5 x 10(9)/l) and febrile neutropenia (FN, an ANC < 0.5x10(9)/l in association with a body temperature of > or = 38.3 degrees C) after the first cycle of CHOP therapy in patients newly diagnosed with aggressive NHL. One hundred and forty-five patients, aged > or = 15 years, with newly diagnosed diffuse mixed, diffuse large-cell or large-cell immunoblastic lymphoma (IWF categories, F, G, H), who had been treated with CHOP at King Chulalongkorn Memorial Hospital between June 1994 and December 1998, were entered into the study. The criteria for eligibility included complete work-up for baseline evaluation, treatment with standard CHOP chemotherapy, at least one complete blood count performed during days 8-14 post-treatment or if at any time the patients experienced a BT of > or = 38.3 degrees C and were not treated with any colony-stimulating factors (CSFs). The median age of the patients was 47 years (range, 17-78). Forty-eight percent of the patients were in stage III/IV, 36% had ECOG performance status (PS) II-IV, 30% had > or = 2 extranodal diseases, 59% had serum LDH > 1 x normal and 23% had bone marrow involvement. The frequencies of patients in the low-, low-intermediate, high-intermediate and high risk groups according to the international index were 29%, 28%, 17% and 26%, respectively. Thirty-nine percent of the patients had LN at nadir and 33% developed FN after the first course of CHOP. By using stepwise logistic regression analysis, the pretreatment variables independently predictive of the LN at nadir and the FN were serum albumin concentration of < or = 3.5 g/dl, serum LDH > 1 x normal and whether there was bone marrow involvement of lymphoma at presentation. The model, based on the incorporation of these three factors, identified three risk groups of patients with a predicted probability of developing LN at nadir of 81.5% (95% CI, 68.5-90.7) (high risk), 23.9% (95% CI, 12.6-38.8) (intermediate risk) and 4.4% (95% CI, 0.5-15.1) (low risk). The predicted rate of FN in the three groups were 72.2% (95% CI, 58.4-83.5), 17.4% (95% CI, 7.8-31.4) and 2.2% (95% CI, 0.05-11.8), respectively. In conclusion, our model could be used as a means to identify patients with newly diagnosed aggressive NHL, treated with CHOP, who are at high risk (> or = 50% probability) of developing post-first course LN and FN, in whom CSF and/or antibiotic prophylaxis might be indicated.

Factors that predict chemotherapy-induced myelosuppression in lymphoma patients: role of the tumor necrosis factor ligand-receptor system

PURPOSE

To analyze factors that predict the occurrence of chemotherapy-induced myelosuppression and, in particular, the role of the tumor necrosis factor (TNF) ligand-receptor system in lymphoma patients at the beginning of their treatment.

PATIENTS AND METHODS

We investigated the predictive factors for myelosuppression after the first course of chemotherapy in a cohort of 101 consecutive, previously untreated lymphoma patients receiving regimens that include doxorubicin and cyclophosphamide. Plasma samples were tested at baseline by enzyme-linked immunosorbent assay for TNF and its soluble receptors. Univariate and multivariate analyses were performed with a forward regression procedure that included all of the parameters that were found to be significant in the univariate analysis. The dose of chemotherapy and the prophylactic treatment with granulocyte colony-stimulating factor were deliberately included in this model.

RESULTS

Sixty-seven patients experienced World Health Organization (WHO) grade 4 neutropenia, and 37 patients experienced febrile neutropenia, which was responsible for WHO grade 2 through 4 infections in 23 patients. In multiparametric regression analysis, the occurrence of grade 4 neutropenia was associated with high doses of cyclophosphamide (odds ratio ¿OR, 19.8; P =.008) and high levels of soluble p75-R-TNF (OR, 8.52; P =.001). The duration of grade 4 neutropenia for more than 5 days was associated with the lack of hematopoietic growth factor administration (OR, 6.76; P =.004) and high levels of soluble p75-R-TNF (OR, 5.84; P =.0023). The occurrence of febrile neutropenia was associated with high doses of cyclophosphamide (OR, 4.7; P =.007), altered performance status (OR, 18.8; P <.0001) and high levels of soluble p75-R-TNF (OR, 3.49; P =.029).

CONCLUSION

This study indicates that in addition to the dose of chemotherapy and the administration of hematopoietic growth factors, poor performance status and high p75-R-TNF levels can predict the occurrence of chemotherapy-induced myelosuppression in lymphoma patients. This model may help in selecting patients for prophylactic growth factor administration.