Prognostic accuracy of SOFA, qSOFA and SIRS criteria in hematological cancer patients: a retrospective multicenter study

Expression pattern of serum interleukin-7 in elderly septic patients and its prognostic value for predicting short-term mortality

BACKGROUND

The identification of novel prognostic biomarkers in elderly septic patients are essential for the improvement of mortality in sepsis in the context of precision medicine. The purpose of this study was to explore the expression pattern and prognostic value of serum interleukin-7 (IL-7) in predicting 28-day mortality in elderly patients with sepsis.

METHODS

Patients were retrospectively enrolled according to the sepsis-3.0 diagnostic criteria and divided into the survival group and non-survival group based on the clinical outcome at the 28-day interval. The baseline characteristic data, samples for the laboratory tests, and the SOFA, Acute Physiology and Chronic Health Evaluation (APACHE II), as well as Glasgow coma scale (GCS) scores, were recorded within 24 h after admission to the emergency department. Serum levels of IL-7 and TNF-α of the patients were quantified by the Luminex assay. Spearman correlation analysis, logistic regressive analysis and receiver operating characteristic curve (ROC) analysis were performed, respectively.

RESULTS

Totally, 220 elderly patients with sepsis were enrolled, 151 of whom died in a 28-day period. Albumin (ALB), high-density lipoprotein (HDL), systolic pressure (SBP), and platelet (PLT) were found to be significantly higher in the survival group (p < 0.05). IL-7 was shown to be correlated with TNF-α in the non-survival group (p = 0.030) but not in the survival group (p = 0.194). No correlation was shown between IL-7 and other factors (p > 0.05). IL-7 and TNF-α were found to be independent risk factors associated with the 28-day mortality (OR = 1.215, 1.420). Combination of IL-7, SOFA and ALB can make an AUROC of 0.874 with the specificity of 90.77 %. Combination of IL-7 and TNF-α can make an AUROC of 0.901 with the sensitivity of 90.41 % while the combination of IL-7, TNF-α, and ALB can make an AUROC of 0.898 with the sensitivity of 94.52 %.

CONCLUSIONS

This study highlights the importance of monitoring the serum level of IL-7 and TNF-α in elderly septic patients as well as evaluating the combinations with other routine risk factors which can be potentially used for the identification of elderly septic patients with higher risk of mortality.

Lactate level is an independent predictor of mortality in patients with hematologic malignancy receiving urgent chemotherapy in intensive care unit

BACKGROUND

Intensive care unit (ICU) survival of cancer patients has improved. Urgent chemotherapy has become feasible in critically ill patients with specific organ dysfunction due to hematological malignancies.

OBJECTIVE

The aim of the study was to assess ICU mortality rates and the factors associated with mortality in patients with hematologic malignancies receiving urgent chemotherapy in the ICU.

METHODS

We retrospectively included all patients admitted to the ICU who received chemotherapy due to hematologic malignancy in 2012-2022.

RESULTS

Of the 129 patients undergoing chemotherapy in the ICU, 50 (38.7 %) died during the ICU follow-up. The following conditions were significantly more common among nonsurvivors: presence of infection at the time of ICU admission (p < 0.001), the requirement for mechanical ventilation during ICU stay (p < 0.001), the need for noninvasive mechanical ventilation during ICU stay (p = 0.014), vasopressor support (p < 0.001), and sepsis (p < 0.001). Logistic regression analysis revealed that among laboratory parameters on ICU admission, lactate (p = 0.008), albumin (p = 0.022), C-reactive protein (p = 0.046), baseline sequential organ failure assessment (SOFA) score (p < 0.001), newly developed heart failure (p = 0.006), and the requirement for vasopressor agents during ICU stay (p < 0.001) significantly influenced the risk of mortality in the univariate analysis. The multivariate analysis revealed lactate levels (p = 0.047) on ICU admission as an independent predictor of mortality.

CONCLUSION

The development of heart failure and lactate levels on admission were the main predictors of mortality. Additionally, higher SOFA scores revealed that illness severity was closely associated with mortality. Future studies should focus on strategies to further reduce these risks and achieve the best outcomes for these patients.

[Cancer patients in the emergency department]

A growing number of patients are living with cancer or have a history of cancer leading to increasing adverse effects of treatment or disease necessitating emergency department (ED) consultation. Long-term cancer survivors are at higher risk of comorbidities causing a substantial increase in health care resource utilization. The most frequent reasons for cancer-related ED visits are dyspnea, fever, pain, gastrointestinal or neurological symptoms leading to high hospital and intensive care unit admission rates. Acute respiratory failure in cancer patients necessitates timely diagnostic testing, whereby computed tomography is superior to chest X‑ray. Delay in intensive care unit (ICU) admission or mechanical ventilation increases mortality. Febrile neutropenia is an emergency with urgent need for antibiotic treatment. Treatment of neutropenic and nonneutropenic patients with sepsis does not differ. Cardiovascular disease is now the second leading cause of long-term morbidity and mortality among cancer survivors. Immunotherapy can lead to substantial and in some patients life-threatening complications that may not easily be recognized in the ED. Cancer-specific emergencies such as leukostasis, tumorlysis or hypercalcemia rarely present to ED and require interdisciplinary care. The constantly growing cancer population is likely to increase ED utilization. Knowledge about cancer treatment and disease-associated complications is crucial for emergency physicians. Palliative care education should secure appropriate end-of-life care avoiding futile interventions.

Severe cytokine release syndrome induced by immune checkpoint inhibitors in cancer patients - A case report and review of the literature

Cytokine release syndrome (CRS) can be induced by immune checkpoint inhibitors (ICIs). Although the incidence of CRS is low, it is often underreported. Here, we report two severe CRS cases and summarize and review 51 patients with ICI-induced CRS to explore the possible contributing factors to the disease prognosis and provide assistance for therapy. Our analysis found that the population with ICI-induced CRS consists mainly of male patients with an average age of 61.74 years. The primary malignant tumor type was lung cancer, and the clinical stage of most patients was stage IV. Notably, patients who experience a longer time to CRS onset, higher IL-6 levels, and lower platelet counts may be more likely to develop severe CRS. Cardiovascular, respiratory, neurological, and coagulation toxicities are more common in higher-grade CRS and may serve as markers for patient experiencing ICU admission, oxygen supplementation, hypotension, high-dose vasopressors usage, and intubation.

Prognostic evaluation of quick sequential organ failure assessment score in ICU patients with sepsis across different income settings

BACKGROUND

There is conflicting evidence on association between quick sequential organ failure assessment (qSOFA) and sepsis mortality in ICU patients. The primary aim of this study was to determine the association between qSOFA and 28-day mortality in ICU patients admitted for sepsis. Association of qSOFA with early (3-day), medium (28-day), late (90-day) mortality was assessed in low and lower middle income (LLMIC), upper middle income (UMIC) and high income (HIC) countries/regions.

METHODS

This was a secondary analysis of the MOSAICS II study, an international prospective observational study on sepsis epidemiology in Asian ICUs. Associations between qSOFA at ICU admission and mortality were separately assessed in LLMIC, UMIC and HIC countries/regions. Modified Poisson regression was used to determine the adjusted relative risk (RR) of qSOFA score on mortality at 28 days with adjustments for confounders identified in the MOSAICS II study.

RESULTS

Among the MOSAICS II study cohort of 4980 patients, 4826 patients from 343 ICUs and 22 countries were included in this secondary analysis. Higher qSOFA was associated with increasing 28-day mortality, but this was only observed in LLMIC (p < 0.001) and UMIC (p < 0.001) and not HIC (p = 0.220) countries/regions. Similarly, higher 90-day mortality was associated with increased qSOFA in LLMIC (p < 0.001) and UMIC (p < 0.001) only. In contrast, higher 3-day mortality with increasing qSOFA score was observed across all income countries/regions (p < 0.001). Multivariate analysis showed that qSOFA remained associated with 28-day mortality (adjusted RR 1.09 (1.00-1.18), p = 0.038) even after adjustments for covariates including APACHE II, SOFA, income country/region and administration of antibiotics within 3 h.

CONCLUSIONS

qSOFA was independently associated with 28-day mortality in ICU patients admitted for sepsis. In LLMIC and UMIC countries/regions, qSOFA was associated with early to late mortality but only early mortality in HIC countries/regions.

Potential Role and Prognostic Value of Interleukin-15 for Mortality Among Elderly Patients with Sepsis

Background

To investigate the potential role and prognostic value of interleukin-15 (IL-15) in predicting 28-day mortality in elderly patients with sepsis.

Methods

According to the Sepsis-3.0 diagnostic criteria for sepsis, elderly patients with sepsis who were admitted to the emergency department of the Shi jingshan branch of Beijing Chaoyang Hospital between October 2021 and June 2022 were enrolled in this retrospective cohort study. After observation for 28 days, patients were divided into a survival group and a nonsurvival group. Samples for laboratory tests, baseline characteristic data, and SOFA and Acute Physiology and Chronic Health Evaluation (APACHE II) scores were collected or recorded within 24 h after admission to the emergency department. Quantitative detection of IL-15 was performed with a Luminex assay. Logistic regression analysis and receiver operating characteristic curve (ROC) analysis were conducted for comparison.

Results

In total, 220 elderly patients with sepsis were enrolled, 69 of whom were in the survival group and 151 of whom were in the nonsurvival group at the 28-day interval. Systolic pressure, high-density lipoprotein (HDL), platelets (PLT) and albumin (ALB) were significantly higher in the survival group (P<0.05), while IL-15, SOFA, and APACHE II were significantly higher in the nonsurvival group (P<0.05). IL-15 was an independent risk factor associated with 28-day mortality (OR=1.842, 95% CI [1.323, 2.565]). The area under the receiver operating characteristic curve (AUROC) of IL-15 alone was 0.691 (95% CI [0.618, 0.764]), with a sensitivity of 46.67% and a specificity of 85.81%. The AUROC of the combined IL-15 and SOFA reached 0.880 (95% CI [0.672, 0.812]), for which the sensitivity and specificity were 80.95% and 85.08%, respectively.

Conclusion

IL-15 possesses the prognostic value for predicting 28-day mortality in elderly patients with sepsis.

SIRS, SOFA, qSOFA, and NEWS in the diagnosis of sepsis and prediction of adverse outcomes: a systematic review and meta-analysis

BACKGROUND

We compared Systemic Inflammatory Response Syndrome (SIRS), Sequential Organ Failure Assessment (SOFA), Quick Sepsis-related Organ Failure Assessment (qSOFA), and National Early Warning Score (NEWS) for sepsis diagnosis and adverse outcomes prediction.

METHODS

Clinical studies that used SIRS, SOFA, qSOFA, and NEWS for sepsis diagnosis and prognosis assessment were included. Data were extracted, and meta-analysis was performed for outcome measures, including sepsis diagnosis, in-hospital mortality, 7/10/14-day mortality, 28/30-day mortality, and ICU admission.

RESULTS

Fifty-seven included studies showed good overall quality. Regarding sepsis prediction, SIRS demonstrated high sensitivity (0.85) but low specificity (0.41), qSOFA showed low sensitivity (0.42) but high specificity (0.98), and NEWS exhibited high sensitivity (0.71) and specificity (0.85). For predicting in-hospital mortality, SOFA demonstrated the highest sensitivity (0.89) and specificity (0.69). In terms of predicting 7/10/14-day mortality, SIRS exhibited high sensitivity (0.87), while qSOFA had high specificity (0.75). For predicting 28/30-day mortality, SOFA showed high sensitivity (0.97) but low specificity (0.14), whereas qSOFA displayed low sensitivity (0.41) but high specificity (0.88).

CONCLUSIONS

NEWS independently demonstrates good diagnostic capability for sepsis, especially in high-income countries. SOFA emerges as the optimal choice for predicting in-hospital mortality and can be employed as a screening tool for 28/30-day mortality in low-income countries.

High prevalence of pre-existing sarcopenia in critically ill patients with hematologic malignancies admitted to the intensive care unit for sepsis or septic shock

BACKGROUND & AIMS

We aimed to evaluate body composition (BC) by computed tomography (CT) in hematologic malignancy (HM) patients admitted to the intensive care unit (ICU) for sepsis or septic shock.

METHODS

We retrospectively assessed BC and its impact on outcome of 186 patients at the 3rd lumbar (L3) and 12th thoracic vertebral levels (T12) using CT-scan performed before ICU admission.

RESULTS

The median patient age was 58.0 [47; 69] years. Patients displayed adverse clinical characteristics at admission with median [q1; q3] SAPS II and SOFA scores of 52 [40; 66] and 8 [5; 12], respectively. The mortality rate in the ICU was 45.7%. Overall survival rates at 1 month after admission in the pre-existing sarcopenic vs. non pre-existing sarcopenic patients were 47.9% (95% CI [37.6; 61.0]) and 55.0% (95% CI [41.6; 72.8]), p = 0.99), respectively, at the L3 level and 48.4% (95% CI [40.4; 58.0]) vs. 66.7% (95% CI [51.1; 87.0]), p = 0.062), respectively, at the T12 level.

CONCLUSIONS

Sarcopenia is assessable by CT scan at both the T12 and L3 levels and is highly prevalent in HM patients admitted to the ICU for severe infections. Sarcopenia may contribute to the high mortality rate in the ICU in this population.

Outcomes of patients with haematological malignancies and febrile neutropenia at the Universitas Academic Hospital multidisciplinary intensive care unit, Free State Province, South Africa

Background

Mortality rates in patients with haematological malignancies who required intensive care unit (ICU) admission have in the past been high. More recently, however, improved outcomes for critically ill haematological patients have been reported.

Objectives

To determine outcomes, average length of ICU stay, and factors associated with mortality in patients with haematological malignancies and neutropenic fever in the multidisciplinary ICU (MICU) at Universitas Academic Hospital (UAH), Bloemfontein, Free State Province, South Africa.

Methods

We conducted a retrospective review of medical and laboratory records of all patients admitted to the UAH MICU with haematological malignancies and febrile neutropenia between 2010 and 2019.

Results

A total of 182 patients with haematological malignancies were admitted to the MICU between 1 January 2010 and 31 December 2019, of whom 51 (28.0%) fulfilled the inclusion criteria for the study. The median age was 33 years, and 29 patients (56.9%) were female. Most patients had either acute myeloid leukaemia (n=22; 43.1%) or acute lymphocytic leukaemia (n=16; 31.4%), while B-cell lymphoma (n=12; 23.5%) and multiple myeloma (n=1; 2%) were less frequent. The median length of stay in the ICU was 3 days. ICU mortality was 76.5% and hospital mortality 82.4%. Factors associated with mortality included septic shock, vasoactive agent use and mechanical ventilation.

Conclusion

Patients with haematological malignancies and febrile neutropenia in the UAH MICU have high ICU and hospital mortality rates. More needs to be done with regard to timeous management of patients with haematological malignancies and septic shock in our setting to improve survival.

Study synopsis

This is the first study to report on ICU mortality of adult patients with haematological malignancies and neutropenic sepsis in a tertiary hospital ICU in the Free State. These patients had a high mortality rate. What the study adds. Our study shows that septic shock, vasoactive agent use and mechanical ventilation were associated with increased ICU mortality.Implications of the findings. Strict adherence to infection prevention and control measures in haematology wards is required. Early recognition and treatment of sepsis before it progresses to septic shock is important. ICUs must be designed so that isolation cubicles are readily available to prevent cross-infection of patients.

Dual-Enhanced Plasmonic Biosensing for Point-of-Care Sepsis Detection

Rapid, sensitive, simultaneous quantification of multiple biomarkers in point-of-care (POC) settings could improve the diagnosis and management of sepsis, a common, potentially life-threatening condition. Compared to high-end commercial analytical systems, POC systems are often limited by low sensitivity, limited multiplexing capability, or low throughput. Here, we report an ultrasensitive, multiplexed plasmonic sensing technology integrating chemifluorescence signal enhancement with plasmon-enhanced fluorescence detection. Using a portable imaging system, the dual chemical and plasmonic amplification enabled rapid analysis of multiple cytokine biomarkers in 1 h with sub-pg/mL sensitivities. Furthermore, we also developed a plasmonic sensing chip based on nanoparticle-spiked gold nanodimple structures fabricated by wafer-scale batch processes. We used the system to detect six cytokines directly from clinical plasma samples (n = 20) and showed 100% accuracy for sepsis detection. The described technology could be employed in rapid, ultrasensitive, multiplexed plasmonic sensing in POC settings for myriad clinical conditions.

Ability of a modified Sequential Organ Failure Assessment score to predict mortality among sepsis patients in a resource-limited setting

Copyright © 2022 The Korean Society ofCritical Care MedicineThis is an Open Access article distributedunder the terms of Creative Attributions Non-Commercial License (https://creativecommons.org/li-censes/by-nc/4.0/) which permitsunrestricted noncommercial use, distribution,and reproduction in any medium, provided theoriginal work is properly cited.https://www.accjournal.org 363INTRODUCTIONSepsis is a life-threatening condition and constitutes major health care problems around the world [1,2]. Sepsis was associated with nearly 20% of all global deaths, and the majority of sepsis cases occurred in low- or middle-income countries [1]. In 2017, the World Health Organization recommended actions to reduce the global burden of sepsis [2]. Sepsis has been defined as acute life-threatening organ dysfunction due to dysregulation of host responses toBackground: Some variables of the Sequential Organ Failure Assessment (SOFA) score are not routinely measured in sepsis patients, especially in countries with limited resources. Therefore, this study was conducted to evaluate the accuracy of the modified SOFA (mSOFA) and compared its ability to predict mortality in sepsis patients to that of the original SOFA score.Methods: Sepsis patients admitted to the medical intensive care unit of Songklanagarind Hospital between 2011 and 2018 were retrospectively analyzed. The primary outcome was all-cause in-hospital mortality.Results: A total of 1,522 sepsis patients were enrolled. The mean SOFA and mSOFA scores were 9.7±4.3 and 8.8±3.9, respectively. The discrimination of the mSOFA score was significantly higher than that of the SOFA score for all-cause in-hospital mortality (area under the receiver operating characteristic curve, 0.891 [95% confidence interval, 0.875–0.907] vs. 0.879 [0.862–0.896]; P<0.001), all-cause intensive care unit (ICU) mortality (0.880 [0.863–0.898] vs. 0.871 [0.853–0.889], P=0.01) and all-cause 28-day mortality (0.887 [0.871–0.904] vs. 0.874 [0.856–0.892], P<0.001). The ability of mSOFA score to predict all-cause in-hospital and 28-day mortality was higher than that of the SOFA score within the subgroups of sepsis according to age, sepsis severity and serum lactate levels. The mSOFA score was demonstrated to have a performance similar to the original SOFA score regarding the prediction of mortality in sepsis patients with cirrhosis or hepatic dysfunction.Conclusions: The mSOFA score was a good alternative to the original SOFA core in predicting mortality among sepsis patients admitted to the ICU.

[Intensive care management of cancer patients]

Cancer patients compromise about 15-20 % of all patients on the intensive Care Unit (ICU). Moreover, recent therapeutic developments in hematology oncology as chimeric T-cells (CAR T-cells) regularly require critical care and therefore the amount of cancer patients in the ICU is expected to grow in the coming years. Although their prognosis has dramatically improved over the past decades, the mortality on cancer patients on the ICU is still high compared to non-cancer patients. Therefore, the interdisciplinary management of these patients is crucial in order to accurately identify patients who benefit from transfer to the ICU and to optimize treatment of these vulnerable and often complex patients. Consequently, large cohort studies have shown a positive impact of daily interdisciplinary patient visits including hematology-oncology and critical care medicine on survival of cancer patients on the ICU. This short review summarizes current knowledge and open questions in the critical care management of cancer patients.

Prognostic value of PaO2/FiO2, SOFA and D-dimer in elderly patients with sepsis

Objective

To investigate the prognostic value for predicting mortality of partial pressure of oxygen/fraction of inspired oxygen (PaO₂/FiO₂), the Sequential Organ Failure Assessment (SOFA) score and D-dimer in elderly patients with sepsis.

Methods

This retrospective cohort study enrolled elderly patients with sepsis admitted to the intensive care unit (ICU) between January 2019 and October 2020. Patients were divided into a survival group and a non-survival group. Biomarkers, SOFA, Acute Physiology and Chronic Health Evaluation II and Glasgow Coma Scale scores were recorded within 24 h after admission to the ICU.

Results

A total of 135 elderly patients with sepsis were enrolled in the study: 89 were in the survival group and 46 were in the non-survival group at 28 days. Univariate and multivariate regression analyses demonstrated that PaO₂/FiO₂, SOFA and D-dimer were independently associated with 28-day mortality. The predictive performance for mortality of the combination of PaO₂/FiO₂, SOFA score and D-dimer (area under the receiver operating characteristic curve of 0.926) was higher than the values for the individual factors (0.761, 0.745 and 0.878, respectively).

Conclusion

The combination of PaO₂/FiO₂, SOFA score and D-dimer represents a promising tool and biomarker for predicting 28-day mortality of the elderly patients with sepsis.

A biomarker panel for risk of early respiratory failure following hematopoietic cell transplantation

This study identified and validated ST2, WFDC2, IL-6, and TNFR1 as risk biomarkers for RF and related mortality post-HCT.

Plasma biomarkers associated with respiratory failure (RF) following hematopoietic cell transplantation (HCT) have not been identified. Therefore, we aimed to validate early (7 and 14 days post-HCT) risk biomarkers for RF. Using tandem mass spectrometry, we compared plasma obtained at day 14 post-HCT from 15 patients with RF and 15 patients without RF. Six candidate proteins, from this discovery cohort or identified in the literature, were measured by enzyme-linked immunosorbent assay in day-7 and day-14 post-HCT samples from the training (n = 213) and validation (n = 119) cohorts. Cox proportional-hazard analyses with biomarkers dichotomized by Youden’s index, as well as landmark analyses to determine the association between biomarkers and RF, were performed. Of the 6 markers, Stimulation-2 (ST2), WAP 4-disulfide core domain protein 2 (WFDC2), interleukin-6 (IL-6), and tumor necrosis factor receptor 1 (TNFR1), measured at day 14 post-HCT, had the most significant association with an increased risk for RF in the training cohort (ST2: hazard ratio [HR], 4.5, P = .004; WFDC2: HR, 4.2, P = .010; IL-6: HR, 6.9, P < .001; and TFNR1: HR, 6.1, P < .001) and in the validation cohort (ST2: HR, 23.2, P = .013; WFDC2: HR, 18.2, P = .019; IL-6: HR, 12.2, P = .014; and TFNR1: HR, 16.1, P = .001) after adjusting for the conditioning regimen. Using cause-specific landmark analyses, including days 7 and 14, high plasma levels of ST2, WFDC2, IL-6, and TNFR1 were associated with an increased HR for RF in the training and validation cohorts. These biomarkers were also predictive of mortality from RF. ST2, WFDC2, IL-6 and TNFR1 levels measured early posttransplantation improve risk stratification for RF and its related mortality.

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.

Outcomes and Risk Factors of Critically Ill Patients with Hematological Malignancy. Prospective Single-Centre Observational Study

Background and Objectives: Oncohematological patients have a high risk of mortality when they need treatment in an intensive care unit (ICU). The aim of our study is to analyze the outcomes of oncohemathological patients admitted to the ICU and their risk factors. Materials and Methods: A prospective single-center observational study was performed with 114 patients from July 2017 to December 2019. Inclusion criteria were transfer to an ICU, hematological malignancy, age >18 years, a central line or arterial line inserted or planned to be inserted, and a signed informed consent form. Univariate and multivariable logistic regression models were used to evaluate the potential risk factors for ICU mortality. Results: ICU mortality was 44.74%. Invasive mechanical ventilation in ICU was used for 55.26% of the patients, and vasoactive drugs were used for 77.19% of patients. Factors independently associated with it were qSOFA score ≥2, increase of SOFA score over the first 48 h, mechanical ventilation on the first day in ICU, need for colistin therapy, lower arterial pH on arrival to ICU. Cut-off value of the noradrenaline dose associated with ICU mortality was 0.21 μg/kg/min with a ROC of 0.9686 (95% CI 0.93-1.00, p < 0.0001). Conclusions: Mortality of oncohematological patients in the ICU is high and it is associated with progression of organ dysfunction over the first 48 h in ICU, invasive mechanical ventilation and need for relatively low dose of noradrenaline. Despite our findings, we do not recommend making decisions regarding treatment limitations for patients who have reached cut-off dose of noradrenaline.

Prognostic accuracy of Quick SOFA in older adults hospitalised with community acquired urinary tract infection

INTRODUCTION

Quick [Sepsis-related] Sequential Organ Failure Assessment (qSOFA) is a prognostic score based on sepsis-3 definition, easy to carry out, whose application has been studied in older adults with sepsis from different sources and respiratory sepsis. However, to date no study has analysed its prognostic accuracy in older adults admitted to hospital with community urinary tract infection.

METHODS

In a prospective study of 282 older adults admitted to hospital with community acquired urinary tract infection, the application of qSOFA to predict hospital mortality was analysed. The predictive capacity of qSOFA for in-hospital mortality was compared with Systemic Inflammatory Response Syndrome score (SIRS) and Sequential Organ Failure Assessment (SOFA), which require laboratory test in order to be calculated.

RESULTS

In a population with a median age of 81 years, where 51.8% were males and 10.6% had septic shock, qSOFA showed sensibility and specificity of 88.46 and 75.78% and area under the receiver operating characteristic curves (AUROC) of 0.810. AUROC for qSOFA was significantly higher than that of SIRS (AUROC 0.597, P = .005) and with no statistical differences with SOFA (AUROC 0.841, P = .635).

CONCLUSION

qSOFA showed a better predictive prognostic accuracy than SIRS and similar to SOFA in older adults admitted to hospital with community acquired urinary tract infection, having the advantage of not requiring laboratory tests.

Clinical prediction of bacteremia and early antibiotics therapy in patients with solid tumors

OBJECTIVE

To investigate the relationship between the systemic inflammatory response syndrome (SIRS), early antibiotic use, and bacteremia in solid-tumor patients.

DESIGN, SETTING, AND PARTICIPANTS

We conducted a retrospective observational study of adults with solid tumors admitted to a tertiary-care hospital through the emergency department over a 2-year period. Patients with neutropenic fever, organ transplant, trauma, or cardiopulmonary arrest were excluded.

METHODS

Rates of SIRS, bacteremia, and early antibiotics (initiation within 8 hours of presentation) were compared using the χ2 and Student t tests. Binomial regression and receiver operator curves were analyzed to assess predictors of bacteremia and early antibiotics.

RESULTS

Early antibiotics were administered in 507 (37%) of 1,344 SIRS-positive cases and 492 (22%) of 2,236 SIRS-negative cases (P < .0001). Of SIRS-positive cases, 70% had blood cultures drawn within 48 hours and 19% were positive; among SIRS negative cases, 35% had cultures and 13% were positive (19% vs 13%; P = .003). Bacteremic cases were more often SIRS positive than nonbacteremic cases (60% vs 50%; P =.003), but they received early antibiotics at similar rates (50% vs 49%, P = .72). Three SIRS components predicted early antibiotics: temperature (OR, 1.7; 95% CI, 1.31-2.29; P = .0001), tachycardia (OR, 1.4; 95% CI, 1.10-1.69; P < .0001), and white blood-cell count (OR, 1.8; 95% CI, 1.56-2.14; P < .0001). Only temperature (OR, 1.6; 95% CI, 1.09-2.41; P = .01) and tachycardia (OR, 1.5; 95% CI, 1.09-2.06; P = .01) predicted bacteremia. SIRS criteria as a composite were poorly predictive of bacteremia (AUC, 0.57).

CONCLUSIONS

SIRS criteria are frequently used to determine the need for early antibiotics, but they are poor predictors of bacteremia in solid-tumor patients. More reliable models are needed to guide judicious use of antibiotics in this population.

Prognostic predictors in patients with sepsis after gastrointestinal tumor surgery: A retrospective study

BACKGROUND

There have been different reports on mortality of sepsis; however, few focus on the prognosis of patients with sepsis after surgery.

AIM

To study the clinical features and prognostic predictors in patients with sepsis after gastrointestinal tumor surgery in intensive care unit (ICU).

METHODS

We retrospectively screened patients who underwent gastrointestinal tumor surgery at Peking University Cancer Hospital from January 2015 to December 2019. Among them, 181 patients who were diagnosed with sepsis in ICU were included in our study. Survival was analysed by the Kaplan-Meier method. Univariate and multivariate adjusted analyses were performed to identify predictors of prognosis.

RESULTS

The 90-d all-cause mortality rate was 11.1% in our study. Univariate analysis showed that body mass index (BMI), shock within 48 h after ICU admission, leukocyte count, lymphocyte to neutrophil ratio, international normalized ratio, creatinine, procalcitonin, lactic acid, oxygenation index, and sequential organ failure assessment (SOFA) score within 24 h after ICU admission might be all significantly associated with the prognosis of sepsis after gastrointestinal tumor surgery. In multiple analysis, we found that BMI ≤ 20 kg/m², lactic acid after ICU admission, and SOFA score within 24 h after ICU admission might be independent risk predictors of the prognosis of sepsis after gastrointestinal tumor surgery. Compared with SOFA score, SOFA score combined with BMI and lactic acid might have higher predictive ability (area under the receiver operating characteristic curve, 0.859; 95% confidence interval, 0.789-0.929).

CONCLUSION

Lactic acid and SOFA score within 24 h after ICU admission are independent risk predictors of the prognosis of sepsis after gastrointestinal tumor surgery. SOFA score combined with BMI and lactic acid might have good predictive value.

Outcomes after intensive care unit admission in newly diagnosed diffuse large B-cell lymphoma patients: A real-life study

We conducted a retrospective study to analyze the prognostic factors impacting the overall survival (OS) and progression-free survival (PFS) of diffuse large B-cell lymphoma (DLBCL) patients undergoing first-line therapy and admitted to intensive care unit (ICU) compared to a control cohort who did not required ICU admission. Between January 1, 2008, and December 31, 2018, 828 patients were diagnosed with DLBCL at our institution, including 72 patients who were required ICU admission during disease course. Among them, forty-five patients undergoing homogeneous first-line therapy with /R-CHOP-like regimen and ICU-admitted were selected for the present analysis. Control "non-ICU" DLBCL patients were matched by age, IPI score and treatment received. The median age at ICU admission was 65 years, 97.8% of patients displayed advanced-stage disease (III/IV), and 84.4% had a high IPI score (3-5). The main reasons for ICU admission were acute respiratory failure (40.0%) and septic shock (33.3%). The ICU mortality rate was 33.3%. The 2-year PFS was lower in ICU survivors patients than in non-ICU patients: 31.7% (95% CI 18.5-54.1) vs 60.8% (95% CI 51.2-72.1, P = .00049). Admission to the ICU is an event that clearly impacts the outcomes of patients with DLBCL, until 2 years after the event. ICU prognosis seems mainly related to critical patient severity at admission rather than lymphoma-related prognostic factors (IPIs), suggesting that ICU admission criteria should not be based only on the lymphoma prognosis.

Perspective: A Framework to Screen Pediatric and Adolescent Hematopoietic Cellular Therapy Patients for Organ Dysfunction: Time for a Multi-Disciplinary and Longitudinal Approach

Hematopoietic Cell Transplantation (HCT) is a potentially curative therapy for children and adolescent/young adults (AYA) with high-risk malignancies as well as some non-malignant genetic diseases. However, HCT may be associated with endotheliopathies and/or organ dysfunction that may progress to pediatric multi-organ dysfunction syndrome (pMODS) and require critical care intervention. Discipline specific scoring systems may be used to characterize individual organ dysfunction, but the extent to which they are used to prospectively monitor HCT patients with mild dysfunction is unknown. Further, separate scoring systems may be used to define risk of mortality and inform prognostication among those who require critical care support. Our understanding of the epidemiology, risk factors, morbidity, mortality, required monitoring, optimal prevention strategies and appropriate management of children undergoing HCT who develop organ dysfunction, endotheliopathies and/or progress to pMODS is poor. Discipline-specific registries and clinical studies have described improving outcomes for children undergoing HCT, including those who require critical care support; however, longitudinal studies/prospective registries that capture common data elements among HCT patients with and without organ dysfunction, endotheliopathies and pMODS are needed to facilitate inter-disciplinary collaboration and optimally characterize the risk profiles, define screening and prophylaxis regimens and mitigate toxicity.

[Cancer patients in the intensive care unit]

Over the past 20 years, demographic changes and a longer life expectancy of cancer patients has significantly increased the prevalence of this patient group in the intensive care unit (ICU). A fundamental finding is that acute organ dysfunction, rather than the underlying malignancy, determines the prognosis of ICU patients. While hematologic patients often suffer from a more severe disease course, patients with solid tumors do not present an increased hospital mortality compared to the normal population. As with other indications, the decision to transfer a cancer patient to an ICU should be made as soon as possible. While early transfer is associated with reduced hospital mortality, the presence of multiorgan failure on ICU admission is associated with increased mortality. Overall, the intensive care and hospital survival of critically ill hematologic or oncologic patients has improved over the last two decades and is now as high as 50 to 60%. After surviving an intensive care stay, one fifth of all patients have a good long-term prognosis. Thus, the former paradigm of general rejection of cancer patients for ICU care is no longer justified. For optimal care of cancer patients requiring intensive care, close cooperation between hematologists/oncologists and intensive care physicians is essential.

[Bone marrow transplantation patients in the intensive care unit]

Allogeneic hematopoetic stem cell transplantation yields improved long-term survival for patients with high-risk malignant and non-malignant hematologic disease. However, it is associated with high morbidity and mortality. A proportion of patients need intensive care due to infectious, immunological and/or toxic complications. The utility of intensive care unit (ICU) treatments as mechanical ventilation and renal replacement therapy for these patients is uncertain since mortality is high. We describe the most frequent complications and the treatment options concerning the ICU in recipients of allogeneic hematopoetic stem cells.

Opioid use prior to admission for chemotherapy induced febrile neutropenia is associated with increased documented infection, sepsis, and death

PURPOSE

Cancer patients on chemotherapy are at risk for developing febrile neutropenia and infections. Opioids have been associated with immune suppression and risk of infection. We aimed to investigate opioid use associated with infections and death among cancer patients admitted with febrile neutropenia.

METHODS

A total of 481 patients admitted for chemotherapy-induced febrile neutropenia were reviewed. There were 274 patients with opioid prescriptions (OP) within 10 days of hospitalization and 207 patients without opioid prescriptions (NOP) for >1 year of hospitalization. The primary outcomes were microbiologically and clinically documented infection as defined by the International Immunocompromised Host Society (IHS), sepsis by clinician, systemic inflammatory response syndrome (SIRS) criteria, and sequential organ failure assessment (SOFA) score.

RESULTS

Documented infection occurred in 192 (70%) of patients with opioids compared to 99 (48%) with non-opioids, p < 0.001. Similar results were observed in sepsis by SOFA score with 173 (63%) opioids versus 92 (44%) non-opioids, p < 0.001, and sepsis by SIRS with 225 (82%) and 115 (56%) respectively, p < 0.001. Multivariable analysis showed opioid use has an increased adjusted odds of documented infection by 7.13 fold (95% CI 3.97-12.78), Sepsis by SOFA by 2.39 fold (95% CI 1.33-4.29), and Sepsis by SIRS by 1.87 fold (95% CI 1.13-3.10). Multivariable analysis for death/hospice showed that opioids had 2.30 fold (95% CI 1.16-4.57) increase in adjusted odds of death/hospice within 30 days of discharge.

CONCLUSION

The data supports that patients with prior opioid use is associated with increased odds for infection, sepsis and death than non-opioid users admitted with febrile neutropenia.

Vibrational spectroscopic analysis of blood for diagnosis of infections and sepsis: a review of requirements for a rapid diagnostic test

Infections and sepsis represent a growing global burden. There is a widespread clinical need for a rapid, high-throughput and sensitive technique for the diagnosis of infections and detection of invading pathogens and the presence of sepsis. Current diagnostic methods primarily consist of laboratory-based haematology, biochemistry and microbiology that are time consuming, labour- and resource-intensive, and prone to both false positive and false negative results. Current methods are insufficient for the increasing demands on healthcare systems, causing delays in diagnosis and initiation of treatment, due to the intrinsic time delay in sample preparation, measurement, and analysis. Vibrational spectroscopic techniques can overcome these limitations by providing a rapid, label-free and low-cost method for blood analysis, with limited sample preparation required, potentially revolutionising clinical diagnostics by producing actionable results that enable early diagnosis, leading to improved patient outcomes. This review will discuss the challenges associated with the diagnosis of infections and sepsis, primarily within the UK healthcare system. We will consider the clinical potential of spectroscopic point-of-care technologies to enable blood analysis in the primary-care setting.

Acute cytokine release syndrome after a first dose of pembrolizumab as second-line treatment for metastatic, programmed death-ligand 1-positive, non-small-cell lung cancer

INTRODUCTION

The use of programmed death-ligand 1 (PD-L1) checkpoint inhibitor therapy is expanding, although its adverse effects are not completely known. We report on a rare case of acute cytokine release syndrome related to pembrolizumab use in a patient with lung cancer.

CASE REPORT

A 79-year-old man with metastatic, PD-L1-positive, non-small-cell lung cancer developed a febrile condition associated with a systemic inflammatory response syndrome and suffered haemodynamic compromise four hours after the first intravenous administration of pembrolizumab. A thorough medical workup found no alternative cause and a grade 2 cytokine release syndrome (CRS) was diagnosed.Management and outcome: Aggressive fluid resuscitation and supportive therapy led to restitutio ad integrum.

DISCUSSION

Acute CRS after the administration of a PD-L1 inhibitor is infrequent but could be a fatal condition. Supportive treatment and, if necessary, corticosteroids should be considered.

Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis

INTRODUCTION

In recent years, reinforcement learning (RL) has gained traction in the healthcare domain. In particular, RL methods have been explored for haemodynamic optimization of septic patients in the Intensive Care Unit. Most hospitals however, lack the data and expertise for model development, necessitating transfer of models developed using external datasets. This approach assumes model generalizability across different patient populations, the validity of which has not previously been tested. In addition, there is limited knowledge on safety and reliability. These challenges need to be addressed to further facilitate implementation of RL models in clinical practice.

METHOD

We developed and validated a new reinforcement learning model for hemodynamic optimization in sepsis on the MIMIC intensive care database from the USA using a dueling double deep Q network. We then transferred this model to the European AmsterdamUMCdb intensive care database. T-Distributed Stochastic Neighbor Embedding and Sequential Organ Failure Assessment scores were used to explore the differences between the patient populations. We apply off-policy policy evaluation methods to quantify model performance. In addition, we introduce and apply a novel deep policy inspection to analyse how the optimal policy relates to the different phases of sepsis and sepsis treatment to provide interpretable insight in order to assess model safety and reliability.

RESULTS

The off-policy evaluation revealed that the optimal policy outperformed the physician policy on both datasets despite marked differences between the two patient populations and physician's policies. Our novel deep policy inspection method showed insightful results and unveiled that the model could initiate therapy adequately and adjust therapy intensity to illness severity and disease progression which indicated safe and reliable model behaviour. Compared to current physician behavior, the developed policy prefers a more liberal use of vasopressors with a more restrained use of fluid therapy in line with previous work.

CONCLUSION

We created a reinforcement learning model for optimal bedside hemodynamic management and demonstrated model transferability between populations from the USA and Europe for the first time. We proposed new methods for deep policy inspection integrating expert domain knowledge. This is expected to facilitate progression to bedside clinical decision support for the treatment of critically ill patients.

qSOFA Score Is Useful to Assess Disease Severity in Patients With Heart Failure in the Setting of a Heart Failure Unit (HFU)

Aims: There is no gold standard to predict outcome in acute decompensated heart failure (ADHF). Several scores for mortality prediction of patients with ADHF have been developed and mostly consist of complex regression models. None of these models has been widely adopted by clinicians. The quick SOFA score (qSOFA) is a simple score including three parameters (systolic blood pressure ≤ 100 mmHg, respiratory rate ≥22 breathes/min, and GCS <15) and is validated for discrimination of mortality risk in septic patients. Here, we adapted qSOFA score to patients admitted to a Heart Failure Unit (HFU) and assessed the prognostic accuracy.

Methods and Results: qSOFA, SOFA score, and SIRS criteria were assessed at admission. Clinical, laboratory, and echocardiographic parameters were recorded. A follow-up was performed 30 days after discharge. Primary outcome was all-cause mortality or readmission to hospital due do worsening of heart failure symptoms. Of 240 patients (73% male, 16–93 years), 25 patients (10%) had a qSOFA ≥2 points and 126 patients (53%) fulfilled none of qSOFA criteria. Within 30 days, the primary endpoint occurred in 46 patients (19%). Seventeen patients (7%) died and 34 patients (14%) were readmitted to hospital due to worsening heart failure. Patients with qSOFA ≥2 reached this endpoint more frequently (48 vs. 19%, p = 0.002), had more often dyspnea NYHA III-IV (OR 2.4, p = 0.005) and a higher risk for multi organ failure during hospital stay (28 vs. 9%, P = 0.005).

Conclusions: qSOFA is useful to identify patients with heart failure at high risk for worse outcome and to operationalize severity of decompensation.

Febrile neutropenia in patients with acute myeloid leukemia: Outcome in relation to qSOFA score, C-reactive protein, and blood culture findings

OBJECTIVES

To evaluate quick Sequential Organ Failure Assessment (qSOFA) score during febrile neutropenia (FN) in adult patients receiving intensive chemotherapy for acute myeloid leukemia (AML).

METHODS

qSOFA score, as well as the association of qSOFA score with ICU admission, infectious mortality, blood culture findings, and C-reactive protein (CRP) measurements during FN were assessed among 125 adult AML patients with 355 FN periods receiving intensive chemotherapy in a tertiary care hospital from November 2006 to December 2018.

RESULTS

The multivariate model for qSOFA score ≥ 2 included CRP ≥ 150 mg/L on d0-2 [OR 2.9 (95% CI 1.1-7.3), P = .026], Gram-negative bacteremia [OR 2.7 (95% CI 1.1-6.9), P = .034], and treatment according to AML-2003 vs more recent protocols [OR 2.7 (95% CI 1.0-7.4), P = .047]. Age or gender did not gain significance in the model. qSOFA score ≥ 2 was associated with ICU treatment and infectious mortality during FN with sensitivity and specificity of 0.700 and 0.979, and 1.000 and 0.971, respectively.

CONCLUSION

qSOFA offers a useful tool to evaluate the risk of serious complications in AML patients during FN.

Predictive performance of SOFA and qSOFA for in-hospital mortality in severe novel coronavirus disease

OBJECTIVES

The assessment of illness severity at admission can contribute to decreased mortality in patients with the coronavirus disease (COVID-19). This study was conducted to evaluate the effectiveness of the Sequential Organ Failure Assessment (SOFA) and Quick Sequential Organ Failure Assessment (qSOFA) scoring systems at admission for the prediction of mortality risk in COVID-19 patients.

METHODS

We included 140 critically ill COVID-19 patients. Data on demographics, clinical characteristics, and laboratory findings at admission were used to calculate SOFA and qSOFA against the in-hospital outcomes (survival or death) that were ascertained from the medical records. The predictive accuracy of both scoring systems was evaluated by the receiver operating characteristic (ROC) curve analysis.

RESULTS

The area under the ROC curve for SOFA in predicting mortality was 0.890 (95% CI: 0.826-0.955), which was higher than that of qSOFA (0.742, 95% CI 0.657-0.816). An optimal cutoff of ≥3 for SOFA had sensitivity, specificity, positive predictive value, and negative predictive value of 90.00%, 83.18%, 50.00%, and 97.80%, respectively.

CONCLUSIONS

This novel report indicates that SOFA could function as an effective adjunctive risk-stratification tool at admission for critical COVID-19 patients. The performance of qSOFA is accepted but inferior to that of SOFA.

Prognostic Accuracy of the SIRS, qSOFA, and NEWS for Early Detection of Clinical Deterioration in SARS-CoV-2 Infected Patients

BACKGROUND

The case fatality rate of coronavirus disease 2019 (COVID-19) is estimated to be between 4.3% and 11.0%. Currently there is no effective antiviral treatment for COVID-19. Thus, early recognition of patients at high risk is important.

METHODS

We performed a retrospective observational study of 110 patients with severe acute respiratory syndrome coronavirus 2 infection. We compared the effectiveness of three scoring systems: the Systemic Inflammatory Response Syndrome (SIRS), quick Sequential Organ Failure Assessment (qSOFA), and National Early Warning Score (NEWS) systems, for predicting the prognosis of COVID-19. The area under the receiver operating characteristic curve (AUROC) was used for these assessments, and Kaplan-Meier survival curves were used to identify the cumulative risk for 28-day mortality according to the NEWS stratification.

RESULTS

For predicting 28-day mortality, NEWS was superior to qSOFA (AUROC, 0.867 vs. 0.779, P < 0.001), while there was no significant difference between NEWS and SIRS (AUROC, 0.867 vs. 0.639, P = 0.100). For predicting critical outcomes, NEWS was superior to both SIRS (AUROC, 0.918 vs. 0.744, P = 0.032) and qSOFA (AUROC, 0.918 vs. 0.760, P = 0.012). Survival time was significantly shorter for patients with NEWS ≥ 7 than for patients with NEWS < 7.

CONCLUSION

Calculation of the NEWS at the time of hospital admission can predict critical outcomes in patients with COVID-19. Early intervention for high-risk patients can thereby improve clinical outcomes in COVID-19 patients.

Back to Basics: Recognition of Sepsis with New Definition

Patients with serious infections at risk of deterioration represent highly challenging clinical situations, and in particular for junior doctors. A comprehensive clinical examination that integrates the assessment of vital signs, hemodynamics, and peripheral perfusion into clinical decision making is key to responding promptly and effectively to evolving acute medical illnesses, such as sepsis or septic shock. Against this background, the new concept of sepsis definition may provide a useful link between junior doctors and consultant decision making. The purpose of this article is to introduce the updated definition of sepsis and suggest its practical implications, with particular emphasis on integrative clinical assessment, allowing for the rapid identification of patients who are at risk of further deterioration.