A 12-year study evaluating the outcomes and predictors of mortality in critically ill cancer patients admitted with septic shock

Prognostic Factors and Outcomes in Patients With Septic Shock After Allogeneic Hematopoietic Stem Cell Transplantation

Septic shock remains a potentially life-threatening complication among allogeneic hematopoietic stem cell transplant (allo-HSCT) recipients. There is a paucity of information on the clinical characteristics, outcome and prognostic factors of septic shock patients after allo-HSCT. We aimed to describe the clinical characteristics of septic shock after allo-HSCT and its associated health outcomes and to evaluate the role of patient demographics, transplantation-related laboratory and clinical variables associated with the short-term mortality of septic shock after allo-HSCT. We retrospectively studied 242 septic shock patients from 6105 consecutive patients allografted between 2007 and 2021. We assessed 29 risk factors as candidate predictors and used multivariable logistic regression to establish clinical model. The primary outcome was 28-day mortality. The median age of the subjects was 34 (IQR 24 to 45) years. A total of 148 patients (61.2%) had positive blood cultures. Gram-negative bacilli accounted for 61.5% of the positive isolates, gram-positive cocci accounted for 12.2%, and fungi accounted for 6.1%. Coinfections were found in 30 (20.3%) patients. Escherichia coli was the dominant isolated pathogen (31.1%), followed by Pseudomonas spp. (12.8%) and Klebsiella pneumoniae (10.1%). With a median follow-up of 34 (IQR: 2 to 528) days, a total of 142 (58.7%) patients died, of whom 118 (48.8%) died within the first 28 days after septic shock diagnosis, 131 (54.1%) died within 90 days, and 141 (58.3%) died within 1 year. A large majority of deaths (83.1% [118/142]) occurred within 28 days of septic shock diagnosis. Finally, 6 independent predictive variables of 28-day mortality were identified by multivariable logistic regression: time of septic shock, albumin, bilirubin, PaO2/FiO2, lactate, and sepsis-induced coagulopathy. Patients with late onset shock had higher 28-day mortality rates (64.6% versus 25.5%, P < .001) and more ICU admission (32.6% versus 7.1%, P < .001) than those with early onset shock. We highlight the poor survival outcomes in patients who develop septic shock, emphasizing the need for increasing awareness regarding septic shock after allo-HSCT. The information from the current study may help to assist clinicians in identifying high-risk patients.

A clinically applicable prediction model for the risk of in-hospital mortality in solid cancer patients admitted to intensive care units with sepsis

PURPOSE

To develop and validate a user-friendly model to predict the risk of in-hospital mortality in solid cancer patients admitted to the ICU with sepsis.

METHODS

Clinical data of critically ill patients with solid cancer and sepsis were obtained from Medical Information Mart for Intensive Care-IV database and randomly assigned to the training cohort and validation cohort. The primary outcome was in-hospital mortality. The least absolute shrinkage and selection operator (LASSO) regression and logistic regression analysis were used to feature selection and model development. The performance of the model was validated and a dynamic nomogram was developed to visualize the model.

RESULTS

A total of 1584 patients were included in this study, of whom 1108 were assigned to the training cohort and 476 to the validation cohort. The LASSO regression and logistic multivariable analysis showed that nine clinical features were associated with in-hospital mortality and enrolled in the model. The area under the curve of the model was 0.809 (95% CI 0.782-0.837) in the training cohort and 0.770 (95% CI 0.722-0.819) in the validation cohort. The model exhibited satisfactory calibration curves and Brier scores in the training set and validation set were 0.149 and 0.152, respectively. The decision curve analysis and clinical impact curve of the model presented good clinical practicability in both the two cohorts.

CONCLUSION

This predictive model could be used to assess the in-hospital mortality of solid cancer patients with sepsis in the ICU, and a dynamic online nomogram could facilitate the sharing of the model.

A novel risk classifier to predict the in-hospital death risk of nosocomial infections in elderly cancer patients

Background

Elderly cancer patients are more predisposed to developing nosocomial infections during anti-neoplastic treatment, and are associated with a bleaker prognosis. This study aimed to develop a novel risk classifier to predict the in-hospital death risk of nosocomial infections in this population.

Methods

Retrospective clinical data were collected from a National Cancer Regional Center in Northwest China. The Least Absolute Shrinkage and Selection Operator (LASSO) algorithm was utilized to filter the optimal variables for model development and avoid model overfitting. Logistic regression analysis was performed to identify the independent predictors of the in-hospital death risk. A nomogram was then developed to predict the in-hospital death risk of each participant. The performance of the nomogram was evaluated using receiver operating characteristics (ROC) curve, calibration curve, and decision curve analysis (DCA).

Results

A total of 569 elderly cancer patients were included in this study, and the estimated in-hospital mortality rate was 13.9%. The results of multivariate logistic regression analysis showed that ECOG-PS (odds ratio [OR]: 4.41, 95% confidence interval [CI]: 1.95-9.99), surgery type (OR: 0.18, 95%CI: 0.04-0.85), septic shock (OR: 5.92, 95%CI: 2.43-14.44), length of antibiotics treatment (OR: 0.21, 95%CI: 0.09-0.50), and prognostic nutritional index (PNI) (OR: 0.14, 95%CI: 0.06-0.33) were independent predictors of the in-hospital death risk of nosocomial infections in elderly cancer patients. A nomogram was then constructed to achieve personalized in-hospital death risk prediction. ROC curves yield excellent discrimination ability in the training (area under the curve [AUC]=0.882) and validation (AUC=0.825) cohorts. Additionally, the nomogram showed good calibration ability and net clinical benefit in both cohorts.

Conclusion

Nosocomial infections are a common and potentially fatal complication in elderly cancer patients. Clinical characteristics and infection types can vary among different age groups. The risk classifier developed in this study could accurately predict the in-hospital death risk for these patients, providing an important tool for personalized risk assessment and clinical decision-making.

Quality of life of patients with solid malignancies at 3 months after unplanned admission in the intensive care unit: A prospective case-control study

BACKGROUND

Although short- and long-term survival in critically ill patients with cancer has been described, data on their quality of life (QoL) after an intensive care unit (ICU) stay are scarce. This study aimed to determine the impact of an ICU stay on QoL assessed at 3 months in patients with solid malignancies.

METHODS

A prospective case-control study was conducted in three French ICUs between February 2020 and February 2021. Adult patients with lung, colorectal, or head and neck cancer who were admitted in the ICU were matched in a 1:2 ratio with patients who were not admitted in the ICU regarding their type of cancer, curative or palliative anticancer treatment, and treatment line. The primary endpoint was the QoL assessed at 3 months from inclusion using the mental and physical components of the Short Form 36 (SF-36) Health Survey. The use of anticancer therapies at 3 months was also evaluated.

RESULTS

In total, 23 surviving ICU cancer patients were matched with 46 non-ICU cancer patients. Four patients in the ICU group did not respond to the questionnaire. The mental component score of the SF-36 was higher in ICU patients than in non-ICU patients: median of 54 (interquartile range: 42-57) vs. 47 (37-52), respectively (p = 0.01). The physical component score of the SF-36 did not differ between groups: 35 (31-47) vs. 42 (34-47) (p = 0.24). In multivariate analysis, no association was found between patient QoL and an ICU stay. A good performance status and a non-metastatic cancer at baseline were independently associated with a higher physical component score. The use of anticancer therapies at 3 months was comparable between the two groups.

CONCLUSION

In patients with solid malignancies, an ICU stay had no negative impact on QoL at 3 months after discharge when compared with matched non-ICU patients.

Outcomes and Predictors of 28-Day Mortality in Patients With Solid Tumors and Septic Shock Defined by Third International Consensus Definitions for Sepsis and Septic Shock Criteria

BACKGROUND

Data assessing outcomes of patients with solid tumors demonstrating septic shock using the Third International Consensus Definitions for Sepsis and Septic Shock are scarce.

RESEARCH QUESTION

What are the independent predictors of 28-day mortality in critically ill adults with solid tumors and septic shock?

STUDY DESIGN AND METHODS

Cohort of solid tumor patients admitted to the ICU with septic shock. Demographic and clinical characteristics were gathered from the electronic health records. We developed a reduced multivariate logistics regression model to identify independent predictors of 28-day mortality and used Kaplan-Meier plots to assess survival.

RESULTS

A total of 271 patients were included. The median age was 62 years (range, 19-94 years); 57.2% were men and 53.5% were White. The most common underlying malignancies were lung (19.2%), breast (7.7%), pancreatic (7.7%), and colorectal (7.4%) cancers. Most patients (84.5%) harbored metastatic disease. Twenty-eight days after ICU admission, 188 patients (69.4%) had died. Nonsurvivors showed a higher rate of advanced cancer, longer hospital stays before ICU admission, and higher Sequential Organ Failure Assessment scores at admission and throughout the ICU stay (P < .001 for all). The multivariate analysis identified metastatic disease (OR, 3.17; 95% CI, 1.43-7.03), respiratory failure (OR, 2.34; 95% CI, 1.15-4.74), elevated lactate levels (OR, 3.19; 95% CI, 1.90-5.36), and Eastern Cooperative Oncology Group performance scores of 3 or 4 (OR, 2.72; 95% CI, 1.33-5.57) as independent predictors of 28-day mortality. Only 38 patients (14%) were discharged home without medical assistance.

INTERPRETATION

The 28-day mortality rate of patients with solid tumors and septic shock was considerably high. Factors associated with worse survival included advanced oncologic disease, poor performance status, high lactate level, and concomitant acute respiratory failure. Early goals-of-care discussions should be considered for frail patients with septic shock and advanced metastatic disease without denying access to the appropriate level of care.

All-cause mortality in cancer patients treated for sepsis in intensive care units: a systematic review and meta-analysis

Purpose

Sepsis is a common complication in patients with cancer, but studies evaluating the outcomes of critically ill cancer patients with sepsis on a global scale are limited. We aimed to summarize the existing evidence on mortality rates in this patient population.

Methods

Prospective and retrospective observational studies evaluating critically ill adult cancer patients with sepsis, severe sepsis, and/or septic shock were included. Studies published from January 2010 to September 2021 that reported at least one mortality outcome were retrieved from MEDLINE (Ovid), Embase (Ovid), and Cochrane databases. Study selection, bias assessment, and data collection were performed independently by two reviewers, and any discrepancies were resolved by a third reviewer. The risk of bias was assessed using the Newcastle–Ottawa scale. We calculated pooled intensive care unit (ICU), hospital, and 28/30-day mortality rates. The heterogeneity of the data was tested using the chi-square test, with a P value < 0.10 indicating significant heterogeneity.

Results

A total of 5464 citations were reviewed, of which 10 studies met the inclusion criteria; these studies included 6605 patients. All studies had a Newcastle–Ottawa scale score of 7 or higher. The mean patient age ranged from 51.4 to 64.9 years. The pooled ICU, hospital, and 28/30 day mortality rates were 48% (95% CI, 43– 53%; I² = 80.6%), 62% (95% CI, 58–67%; I² = 0%), and 50% (95% CI, 38– 62%; I² = 98%), respectively. Substantial between-study heterogeneity was observed.

Conclusion

Critically ill cancer patients with sepsis had poor survival, with a hospital mortality rate of about two-thirds. The substantial observed heterogeneity among studies could be attributed to variability in the criteria used to define sepsis as well as variability in treatment, the severity of illness, and care across settings. Our results are a call to action to identify strategies that improve outcomes for cancer patients with sepsis.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00520-022-07392-w.

A Systematic Review and Meta-Analysis Evaluating Geographical Variation in Outcomes of Cancer Patients Treated in ICUs

The reported mortality rates of cancer patients admitted to ICUs vary widely. In addition, there are no studies that examined the outcomes of critically ill cancer patients based on the geographical regions. Therefore, we aimed to evaluate the mortality rates among critically ill cancer patients and provide a comparison based on geography.

A nationwide study on characteristics and outcome of cancer patients with sepsis requiring intensive care

BACKGROUND

Sepsis is the leading cause of admission to the intensive care unit (ICU) for cancer patients and survival rates have historically been low. The aims of this nationwide cohort study were to describe the characteristics and outcomes of cancer patients admitted to the ICU with sepsis compared with other sepsis patients requiring ICU admission.

MATERIAL AND METHODS

This was a retrospective, observational study. All adult admissions to Icelandic ICUs during years 2006, 2008, 2010, 2012, 2014 and 2016 were screened for severe sepsis or septic shock by ACCP/SCCM criteria. Clinical characteristics and outcomes of sepsis patients with cancer were compared to those without cancer.

RESULTS

In the study period, 235 of 971 (24%) patients admitted to Icelandic ICUs because of sepsis had cancer, most often a solid tumour (100), followed by metastatic tumours (69) and haematological malignancies (66). Infections were more often hospital-acquired in cancer patients (52%) than other sepsis patients (18%, p < 0.001) and sites of infections differed, with abdominal infections being most common in patients with solid and metastatic tumours but lungs and bloodstream infections in haematological malignancies. The length of stay in the ICU was shorter for sepsis patients with metastatic disease than other sepsis patients (2 vs. 4 days, p < 0.001) and they were more likely to have treatment limitations (52 vs. 19%, p < 0.05). Median survival of patients with metastatic disease was 19 days from ICU admission. The 28-day mortality (25%) of solid tumour patients was comparable to that of sepsis patients without cancer (20%, p < 0.001).

CONCLUSIONS

Cancer is a common comorbidity in patients admitted to the ICU with sepsis. The clinical presentation and outcome differs between cancer types. Individuals with metastatic cancer were unlikely to receive prolonged invasive ICU care treatment. Comparable short-term outcome was found for patients with solid tumours and no cancer.