Prognostic Factors Predicting Poor Outcome in Cancer Patients with Febrile Neutropenia in the Emergency Department: Usefulness of qSOFA

The Use of qSOFA, SOFA, and Ramathibodi Early Warning Score (REWS) to Predict Severe Complications in Hematologic Malignancy Patients

Background

Sepsis causes high mortality in vulnerable groups such as hematologic malignancy (HM) patients. There are various early warning scores of sepsis, eg, qSOFA, SOFA, and Ramathibodi Early Warning Score (REWS). This study aimed to compare REWS, qSOFA, and SOFA in predicting severe complications in hematologic malignancy patients visiting ED.

Methods

The study was conducted as a retrospective cohort study at the ED of Ramathibodi Hospital, Bangkok, Thailand. Adult HM patients suspected of sepsis and have visited ED between March 2016 and December 2019.

Results

Among 124 patients in our cohort, 51 (41%) had serious complication in ED and 20 (16%) died within 28 days after admission. The AUROCs of SOFA and qSOFA indicate significantly higher predicting in serious complication in ED than REWS (SOFA, 0.81 [95% CI, 0.73–0.89], qSOFA, 0.73 [95% CI, 0.65–0.81], REWS, 0.62 [95% CI, 0.52–0.72] p=0.004) while the predicting in 28-day mortality is not statistically significantly different (SOFA, 0.73 [95% CI, 0.60–0.85], qSOFA, 0.69 [95% CI, 0.58–0.80], REWS, 0.60 [95% CI, 0.44–0.75] p=0.25).

Conclusion

The SOFA score is highest in predicting severe complications among hematologic malignancy patients.

Usefulness analysis of the 2018 ASCO/IDSA guideline for outpatient management of fever and neutropenia in adults treated for malignancy

Although the clinical practice guideline for outpatient management of febrile neutropenia (FN) in adults treated for malignancy was updated by the ASCO/IDSA in 2018, most patients with FN in our hospital have been hospitalized. We performed this study to analyze the usefulness of the guideline. The medical records of patients hospitalized for FN in Kyungpook National University Chilgok Hospital from May 2016 to April 2018 were retrospectively reviewed. The feasibility of candidates for outpatient management according to the guideline was evaluated based on the outcomes. A total of 114 patients were enrolled and categorized into two groups, low-risk (38.6%) and high-risk (61.4%). The proportion of feasible candidates for outpatient management was 70.2% and was higher in the low-risk than in the high-risk group (90.0% vs. 57.1%; P < 0.001). The low-risk group had no mortality, no resistance to oral amoxicillin/clavulanate or ciprofloxacin, a higher rate of successful empirical antibiotics, and lower rates of glycopeptide or carbapenem administration. A significant number of hospitalized cancer patients treated for FN after chemotherapy were found to be feasible candidates for outpatient management. The guideline can be a useful tool to reduce labor of healthcare workers and hospitalization costs.

Machine Learning for Early Warning of Septic Shock in Children With Hematological Malignancies Accompanied by Fever or Neutropenia: A Single Center Retrospective Study

OBJECTIVES

The purpose of this article was to establish and validate clinically applicable septic shock early warning model (SSEW model) that can identify septic shock in hospitalized children with onco-hematological malignancies accompanied with fever or neutropenia.

METHODS

Data from EMRs were collected from hospitalized pediatric patients with hematological and oncological disease at Shanghai Children's Medical Center. Medical records of patients (>30 days and <19 years old) with fever (≥38°C) or absolute neutrophil count (ANC) below 1.0 × 109/L hospitalized with hematological or oncological disease between January 1, 2017 and August 1, 2019 were considered. Patients in whom septic shock was diagnosed during the observation period formed the septic shock group, whereas non-septic-shock group was the control group. In the septic shock group, the time points at 4, 8, 12, and 24 hours prior to septic shock were taken as observation points, and corresponding observation points were obtained in the control group after matching. We employed machine learning artificial intelligence (AI) to filter features and used XGBoost algorithm to build SSEW model. Area under the ROC curve (AU-ROC) was used to compare the effectiveness among the SSEW Model, logistic regression model, and pediatric sequential organ failure score (pSOFA) for early warning of septic shock.

MAIN RESULTS

A total of 64 observation periods in the septic shock group and 2191 in the control group were included. AU-ROC of the SSEW model had higher predictive value for septic shock compared with the pSOFA score (0.93 vs. 0.76, Z = -2.73, P = 0.006). Further analysis showed that the AU-ROC of the SSEW model was superior to the pSOFA score at the observation points 4, 8, 12, and 24 h before septic shock. At the 24 h observation point, the SSEW model incorporated 14 module root features and 23 derived features.

CONCLUSION

The SSEW model for hematological or oncological pediatric patients could help clinicians to predict the risk of septic shock in patients with fever or neutropenia 24 h in advance. Further prospective studies on clinical application scenarios are needed to determine the clinical utility of this AI model.

Determination of the relationship between mortality and SOFA, qSOFA, MASCC scores in febrile neutropenic patients monitored in the intensive care unit

PURPOSE

Febrile neutropenia (FN) is a hematological emergency. It is challenging and confusing for the clinicians to make the decision of the febrile neutropenic patients under chemotherapy to be monitored at intensive care unit (ICU). The aim of this study was to define the factors supporting decision-making for the critical patients with febrile neutropenia.

METHODS

The data of 60 patients, who were taken to the ICU while they were under treatment in the Hematology Clinic with a diagnosis of febrile neutropenia, were analyzed retrospectively, in order to identify clinically useful prognostic parameters.

RESULTS

The ICU mortality rate was 80%. Mortality was significantly associated with higher sequential organ failure assessment score (SOFA), quick sequential organ failure assessment score (qSOFA), and hematological SOFA (SOFAhem) scores on admission. All cases having SOFA score 10 and above and qSOFA score 2 and above died. In multivariate analysis, qSOFA score was found to be statistically significant in predicting mortality in regard to ICU admission (p = 0.004).

CONCLUSION

Mortality of febrile neutropenic patients admitted to ICU is high. It would be appropriate to determine the extent of organ dysfunction instead of underlying disease, for making the decision of ICU admission. It should be noticed that the risk mortality is high for the FN cases with SOFA score 10 or above, qSOFA score 2 or above, and in need of mechanical ventilation and positive inotropic support; hence, early intervention is recommended. In our study, the most significant parameter in predicting ICU mortality was found to be qSOFA.

Febrile Neutropenia in Acute Leukemia. Epidemiology, Etiology, Pathophysiology and Treatment

Acute leukemias are a group of aggressive malignant diseases associated with a high degree of morbidity and mortality. An important cause of both the latter is infectious complications. Patients with acute leukemia are highly susceptible to infectious diseases due to factors related to the disease itself, factors attributed to treatment, and specific individual risk factors in each patient. Patients with chemotherapy-induced neutropenia are at particularly high risk, and microbiological agents include viral, bacterial, and fungal agents. The etiology is often unknown in infectious complications, although adequate patient evaluation and sampling have diagnostic, prognostic and treatment-related consequences. Bacterial infections include a wide range of potential microbes, both Gram-negative and Gram-positive species, while fungal infections include both mold and yeast. A recurring problem is increasing resistance to antimicrobial agents, and in particular, this applies to extended-spectrum beta-lactamase resistance (ESBL), Pseudomonas aeruginosa, methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant Enterococcus (VRE) and even carbapenemase-producing Enterobacteriaceae (CPE). International guidelines for the treatment of sepsis in leukemia patients include the use of broad-spectrum Pseudomonas-acting antibiotics. However, one should implant the knowledge of local microbiological epidemiology and resistance conditions in treatment decisions. In this review, we discuss infectious diseases in acute leukemia with a major focus on febrile neutropenia and sepsis, and we problematize the diagnostic, prognostic, and therapeutic aspects of infectious complications in this patient group. Meticulously and thorough clinical and radiological examination combined with adequate microbiology samples are cornerstones of the examination. Diagnostic and prognostic evaluation includes patient review according to the multinational association for supportive care in cancer (MASCC) and sequential organ failure assessment (SOFA) scoring system. Antimicrobial treatments for important etiological agents are presented. The main challenge for reducing the spread of resistant microbes is to avoid unnecessary antibiotic treatment, but without giving to narrow treatment to the febrile neutropenic patient that reduce the prognosis.

Infections Due to Multidrug-Resistant Bacteria in Oncological Patients: Insights from a Five-Year Epidemiological and Clinical Analysis

Bacterial infections are frequent complications in cancer patients. Among them, those caused by multidrug-resistant (MDR) bacteria increase morbidity and mortality mainly because of limited therapeutic options. Current knowledge regarding MDR infections in patients with solid tumors is limited. We assessed the epidemiology and risk factors of increased mortality in these patients. In this retrospective five-year single cohort observational study, we included all oncological patients with MDR infections. Cancer-related parameters, comorbidities, prior use of antibiotics, previous surgical interventions and hospitalization, as well as the use of invasive procedures were investigated as potential risk factors causing adverse outcomes. Seventy-three patients with MDR infection were included: 37% with carbapenem-resistant Klebsiella pneumoniae, 24% with oxacillin-resistant Staphylococcus aureus (MRSA) and 21% with carbapenem-resistant Acinetobacter baumanni. Previous colonization with MDR bacteria was detected in 14% patients, while 20% of the patients presented MDR colonization or infection at ward admission. Mortality during the infection episode was 32%. Duration of hospitalization and CRP were statistically significant risk factors of mortality, whereas administration of guided antibiotics was a protective factor. Knowledge of local epidemiology of MDR bacteria can help physicians promptly identify cancer patients at risk of MDR infections and initiate timely effective empirical antibiotic treatment that can eventually improve the overall therapeutic management.