Cancer Patients In Intensive Care Unit Research Articles

Hacia una mejor predicción de la mortalidad en pacientes oncológicos en UCI: análisis comparativo de escalas pronósticas: revisión sistemática de la literatura

ObjectiveTo evaluate the predictive ability of mortality prediction scales in cancer patients admitted to intensive care units. DesignA systematic review of the literature was conducted using a search algorithm in October 2022. The following databases were searched: PubMed, Scopus, Virtual Health Library (BVS), and Medrxiv. The risk of bias was assessed using the QUADAS-2 scale. SettingIntensive care units admitting cancer patients. ParticipantsStudies that included adult patients with an active cancer diagnosis who were admitted to the intensive care unit. InterventionsIntegrative study without interventions. Main variables of interestMortality prediction, standardized mortality, discrimination, and calibration. ResultsSeven mortality risk prediction models were analyzed in cancer patients in the ICU. Most models (APACHE II, APACHE IV, SOFA, SAPS-II, SAPS-III, and MPM II) underestimated mortality, while the ICMM overestimated it. The APACHE II had the SMR (Standardized Mortality Ratio) value closest to 1, suggesting a better prognostic ability compared to the other models. ConclusionsPredicting mortality in intensive care unit cancer patients remains an intricate challenge due to the lack of a definitive superior model and the inherent limitations of available prediction tools. For evidence-based informed clinical decision-making, it is crucial to consider the healthcare team's familiarity with each tool and its inherent limitations. Developing novel instruments or conducting large-scale validation studies is essential to enhance prediction accuracy and optimize patient care in this population.

Risk factors for post-traumatic stress disorder among young and middle-aged cancer patients in the intensive care unit: A case-control study.

Young and middle-aged cancer patients in intensive care unit (ICU) often suffer from stress and pressure, causing huge physical and mental damage. Currently, there is few research on post-traumatic stress disorder (PTSD) among young and middle-aged cancer patients in ICU in China, and the psychological status of patients who have experienced both cancer development and ICU stay is still unclear. To explore the risk factors for PTSD in young and middle-aged patients with cancer in ICU. Using convenient sampling method, we enrolled 150 young and middle-aged patients with cancer who were admitted to the ICU of our center during the period from July to December 2020. The general data of the patients and PTSD-related indicators were collected. The Impact of Event Scale-Revised (IES-R) was used for assessing PTSD one month after the discharge from the ICU. Binary Logistic regression analysis was performed to assess the independent risk factors for PTSD in these patients. Among these 150 patients, 32 (21.33%) were found to be with PTSD. Binary Logistic regression analysis revealed that factors significantly associated with PTSD among young and middle-aged patients with cancer in ICU included monthly income (OR = 0.24, P = 0.02), planned transfers (OR = 0.208, P = 0.019), and Acute Physiology and Chronic Health Evaluation (APACHE II) score (OR = 1.171, P = 0.003). The low monthly income, unplanned transfers, and increased APACHE II score are the risk factors for PTSD in young and middle-aged patients with cancer in ICU.

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

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. 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. 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. 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.

Risk of Drug Resistance and Repeated Infection with Klebsiella pneumoniae and Escherichia coli in Intensive Care Unit Cancer Patients.

Bacterial infection is a frequent complication in cancer and immunocompromised patients. The emergence of antibiotic resistance is a significant health problem and cancer patients are at risk of repeated infections with drug-resistant bacteria. This investigation aimed to identify predictors of repeat infections of Escherichia coli and Klebsiella pneumoniae and drug resistance in cancer patients admitted to the intensive care unit (ICU) in Upper Egypt. Blood, urine, sputum, pus, and mouth and nose swabs were collected from patients at the Pediatric Oncology and Medical Oncology ICUs during the period from February 2017 to May 2018. The samples were assessed by antibiotic susceptibility test and further evaluated by genetic testing for the temoniera (TEM) gene of β-lactamase. Samples positive for K. pneumoniae and E. coli were included and isolates positive for other microorganisms were excluded. The study included 107 patients with malignant neoplasms and 136 samples. Repeated infection with K. pneumoniae and E. coli occurred in 31% and 22.45% of patients, respectively. Patients who stayed for a longer period in the ICU were more likely to have repeated infections (OR 1.25, 95%CI 1.10-1.44, p=0.001) after control of other confounding factors. The type of malignant neoplasm, whether it was a hematologic or solid tumor (OR 7.46, 95% CI 2.56-21.7, p=0.0002) and a longer prior stay in the ICU (OR 1.14, 95% CI 1.02-1.28, p=0.025) remained the independent predictors for the drug resistance in the last infection. The TEM type of β-lactamase was encoded in 48.68% and 66.67% of K. pneumoniae and E. coli, respectively. Reinfection with K. pneumoniae and E. coli in patients with cancer can occur as the number of days in the hospital increases. Total prior days spent in the ICU by cancer patients were independently associated with both repeated infections and drug resistance. Samples from patients with hematologic neoplasms were associated with drug resistance.

Prognostic Value of Blood Urea Nitrogen to Serum Albumin Ratio in Intensive Care Unit Patients with Lung Cancer.

BackgroundWe aimed to evaluate the prognostic ability of blood urea nitrogen (BUN) to serum albumin ratio (BAR) to predict in-hospital mortality in patients with lung cancer in the intensive care unit (ICU).MethodsMedical Information Mart for Intensive Care IV (MIMIC-IV v1.0) database was used to identify patients who were diagnosed with lung cancer. The primary outcome was in-hospital mortality. Multivariate COX regression was used to investigate the association between BAR and in-hospital mortality and propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were also used to ensure the robustness of our findings. eICU-CRD database (validation cohort) was also applied to validate our findings.ResultsThe optimal cut-off value for BAR was 6.8mg/g. Among 1202 patients who were diagnosed with lung cancer, 287 high-BAR group (≥6.8mg/g) patients and 287 low-BAR group (<6.8mg/g) patients, who had similar propensity scores were included in this study. After matching, the high-BAR group had significantly higher in-hospital mortality (hazard ratio, HR, 2.24, 95% confidence index, 95% CI, 1.57–3.19, P<0.001) even after adjustment for confounding factors. Moreover, the performance of BAR was superior to that of BUN and serum albumin alone and could add net benefit in predicting in-hospital mortality. Those results were further confirmed in the validation cohort.ConclusionAs an easily accessible and cost-effective parameter, BAR could serve as a good prognostic predictor for lung cancer patients in ICU.

Predictive Performance of two Measures of Prognostic Mortality of Cancer Patients in Intensive Care Unit in Jordan: A Comparative Single-Centre Study

Background: Information is presently insufficient about using Acute Physiology and Chronic Health Evaluation (APACHE) mortality predicting models for cancer patients in intensive care unit (ICU). Objective: To evaluates the performance of APACHE II and IV in predicting mortality for cancer patients in ICU. Interventions/Methods: This was a retrospective study including adult patients admitted to an ICU in a medical center in Jordan. Actual mortality rate was determined and compared with mortality rates predicted by APACHE II and IV models. Receiver operating characteristic (ROC) analysis was used to assess the sensitivity, specificity and predictive performance of both scores. Binary logistic regression analysis was used to determine the effect that APACHE II, APACHE IV and other sample characteristics have on predicting mortality. Results: 251 patients (survived=80; none-survived=171) were included in the study with an actual mortality rate of 68.1%. APACHE II and APACHE IV scores demonstrated similar predicted mortality rates (43.3% vs. 43.0%), sensitivity (52.6% vs. 52.0%), and specificity (76.3%, 76.2%), respectively. The area under (AUC), the ROC curve for APACHE II score was 0.714 (95% confidence interval [CI] 0.645–0.783), and AUC for APACHE IV score was 0.665 (95% CI 0.595–0.734). Conclusions: As APACHE ӀӀ and ӀV mortality models demonstrate insufficient predicting performance, there is no need to consider APACHE IV in our ICU instead of using APACHE ӀӀ as it has more variables and need longer data extraction time. Implications for Practice: We suggest that other approaches in addition to the available models should be attempted to improve the accuracy of cancer prognosis in ICU. Further, it is also required to adjust the available models.

Ventilator-associated pneumonia and bloodstream infections in intensive care unit cancer patients: a retrospective 12-year study on 3388 prospectively monitored patients.

PurposeSome publications suggest high rates of healthcare-associated infections (HAIs) and of nosocomial pneumonia portending a poor prognosis in ICU cancer patients. A better understanding of the epidemiology of HAIs in these patients is needed.MethodsA retrospective analysis of all the patients hospitalized for ≥ 48 h during a 12-year period in the 12-bed ICU of the Gustave Roussy hospital, monitored prospectively for ventilator-associated pneumonia (VAP) and bloodstream infection (BSI) and for use of medical devices.ResultsDuring 3388 first stays in the ICU, 198 cases of VAP and 103 primary, 213 secondary, and 77 catheter-related BSIs were recorded. The VAP rate was 24.5/1000 ventilator days (95% confidence interval [CI] 21.2–28.0); the catheter-related BSI rate was 2.3/1000 catheter days (95% CI 1.8–2.8). The cumulative incidence during the first 25 days of exposure was 58.8% (95% CI 49.1–66.6%) for VAP, 8.9% (95% CI, 6.2–11.5%) for primary, 15.1% (95% CI 11.6–18.5%) for secondary and 5.0% (95% CI 3.2–6.8%) for catheter-related BSIs. VAP or BSIs were not associated with a higher risk of ICU mortality.ConclusionsThis is the first study to report HAI rates in a large cohort of critically ill cancer patients. Although both the incidence of VAP and the rate of BSI are higher than in general ICU populations, this does not impact patient outcomes. The occurrence of device-associated infections is essentially due to severe medical conditions in patients and to the characteristics of malignancy.Electronic supplementary materialThe online version of this article (10.1007/s00520-019-04800-6) contains supplementary material, which is available to authorized users.

Use of regional citrate anticoagulation for continuous venovenous hemodialysis in critically ill cancer patients with acute kidney injury

PurposeThis study aimed to evaluate the safety and efficacy of a regional citrate anticoagulation (RCA) protocol for continuous venovenous hemodialysis (CVVHD) in cancer patients with acute kidney injury (AKI) in the intensive care unit (ICU) setting. Material and methodsOne hundred twenty two consecutive ICU cancer patients with AKI treated with citrate-based CVVHD were prospectively evaluated in this prospective observational study. ResultsA total of 7198 h of CVVHD therapy (250 filters) were performed. Patients were 61.3 ± 15.7 years old, 78% had solid cancer and the main AKI cause was sepsis (50%). The in-hospital mortality was 78.7%. Systemic ionized calcium (SCai) was 4.35 (4.10–4.60) mg/dL, severe hypocalcemia (SCai <3.6 mg/dL) was observed in 4.3% of procedures and post-filter ionized calcium was 1.60 (1.40–1.80) mg/dL. Median filter patency was 24.8 (11–43) hours. Factors related to filter clotting were: no tumor evidence (OR 0.44, CI 0.18–0.99); genitourinary tumor (OR 1.83, CI 1.18–2.81); platelets number (each 10,000/mm3) (OR 1.02, CI 1.00–1.04); International Normatized Ratio (INR) (OR 0.59, CI 0.41–0.85) and citrate dose (each 10 mL/h) (OR 0.88, CI 0.82–0.95). ConclusionFilter patency was relatively short and clotting was associated with active cancer disease, genitourinary tumor, lower citrate dose and lower INR.

Evaluation of Intermittent Hemodialysis in Critically Ill Cancer Patients with Acute Kidney Injury Using Single-Pass Batch Equipment.

BackgroundData on renal replacement therapy (RRT) in cancer patients with acute kidney injury (AKI) in the intensive care unit (ICU) is scarce. The aim of this study was to assess the safety and the adequacy of intermittent hemodialysis (IHD) in critically ill cancer patients with AKI.Methods and FindingsIn this observational prospective cohort study, 149 ICU cancer patients with AKI were treated with 448 single-pass batch IHD procedures and evaluated from June 2010 to June 2012. Primary outcomes were IHD complications (hypotension and clotting) and adequacy. A multiple logistic regression was performed in order to identify factors associated with IHD complications (hypotension and clotting). Patients were 62.2 ± 14.3 years old, 86.6% had a solid cancer, sepsis was the main AKI cause (51%) and in-hospital mortality was 59.7%. RRT session time was 240 (180–300) min, blood/dialysate flow was 250 (200–300) mL/min and UF was 1000 (0–2000) ml. Hypotension occurred in 25% of the sessions. Independent risk factors (RF) for hypotension were dialysate conductivity (each ms/cm, OR 0.81, CI 0.69–0.95), initial mean arterial pressure (each 10 mmHg, OR 0.49, CI 0.40–0.61) and SOFA score (OR 1.16, CI 1.03–1.30). Clotting and malfunctioning catheters (MC) occurred in 23.8% and 29.2% of the procedures, respectively. Independent RF for clotting were heparin use (OR 0.57, CI 0.33–0.99), MC (OR 3.59, CI 2.24–5.77) and RRT system pressure increase over 25% (OR 2.15, CI 1.61–4.17). Post RRT blood tests were urea 71 (49–104) mg/dL, creatinine 2.71 (2.10–3.8) mg/dL, bicarbonate 24.1 (22.5–25.5) mEq/L and K 3.8 (3.5–4.1) mEq/L.ConclusionIHD for critically ill patients with cancer and AKI offered acceptable hemodynamic stability and provided adequate metabolic control.

Analysis of cancer patients admitted to intensive care unit.

OBJECTIVE:The present study is an analysis of cancer patients who received follow-up treatment for either cancer-related complications or treatment-associated side effects while hospitalized in the intensive care unit (ICU).METHODS:Records of cancer patients treated at Dr. Lütfi Kırdar Kartal Training and Research Hospital ICU between January 1, 2011 and December 31, 2012 were retrospectively reviewed. Demographic data and type of cancer were recorded in prepared forms and subsequently analyzed.RESULTS:Among 2240 ICU patients treated and hospitalized between January 1, 2011 and December 31, 2012, 482 cancer patients were identified and included in the study. Percentage of cancer patients in ICU was 23.9%. Male to female ratio was determined to be 1.55. First 3 most common cancers found were colorectal (19.7%), lung (15.7%), and stomach cancers (11.6%). Mortality rate of cancer patients hospitalized in ICU was 46.6%. Larynx, lung, urinary bladder, skin, rectosigmoid, hematological, and kidney cancer were more prevalent in male patients, whereas esophageal cancer was seen in more female patients than male patients. Incidence of stomach, brain, and pancreatic cancers, as well as unclassified tumors, was found to be unrelated to gender.CONCLUSION:Rectosigmoid cancer was most common type of cancer observed in our ICU. Esophageal cancer was observed in more females than males, while larynx cancer was more frequently present in males.

Ethical Challenges in Caring for Cancer Patients in the Intensive Care Unit: Advanced Care Pathways and Avoidance of Futility

Patients with cancer present many ethical challenges in intensive care unit (ICU) right from the decision to admit. Predicting benefit and assessing futility is a process that continues throughout ICU and influences decisions such as change from curative to supportive intent. A complex interplay of medicine, ethics and economics punctuates key moments in the cancer ICU journey. End of life care is as important as any facet of ICU care and the recognition of the importance of appropriate and patient-centred care is increasing. The fundamentals of collaborative communication between practitioners and patients and their families are pivotal to enhancing high quality end of life care. Advance care directives (ACDs) encompass these tenets and provide a template to enlist the cooperation of the patient into active planning for all possible outcomes. This article will consider the ethical issues of cancer patients in ICU with a focus on identification of futility and the potential role of ACDs.

Mortality of hematology-oncology patients with neutropenia in intensivecare

Febrile neutropenia remains one of the most common reasons for hospital admission of patients with underlying oncologic disease. These patients have an up to 10-fold increased risk of developing sepsis, which often leads to these patients being transferred to the intensive care unit (ICU). The survival of neutropenic patients with sepsis in particular has improved in recent years, due to advanced therapy in intensive care (surviving sepsis campaign); however few large international studies of neutropenic cancer patients in the ICU are available. In a retrospective study, 59episodes of neutropenic cancer patients in the internal medicine ICU at the University Hospital of Cologne over a period of 2years were analyzed. Pneumonia with or without sepsis are the main admission diagnoses of neutropenic cancer patients in the ICU. The mortality rate of these patients is very high (50.8 %). Pneumonia and sepsis, stem cell transplantation, mechanical ventilation, and acute renal failure with or without dialysis are correlated with mortality. Cancer patients should be admitted immediately to the ICU if they have signs of sepsis for early monitoring and treatment. Neutropenic patients have an increased risk for infectious complications and a risk for sepsis with higher mortality rates.

Risk factors for noninvasive ventilation failure in cancer patients in the intensive care unit: A retrospective cohort study

PurposeThe purpose of the study is to identify risk factors for noninvasive ventilation (NIV) failure in cancer patients with acute respiratory failure (ARF). Materials and methodsA retrospective cohort study of adult patients admitted to intensive care unit (ICU), who received NIV for treatment of ARF, was conducted. We conducted a chart review to estimate the NIV failure rate and used logistic regression to identify risk factors. ResultsOf 2258 patients admitted to the ICU during the study period, 114 (5%) received NIV for ARF. Noninvasive ventilation was successful in 67 patients (59%) and failed for 47 (41%), of whom 36 were intubated and 11 were sedated for palliation. Factors associated with NIV failure were infection as the primary cause of ARF (odds ratio [OR], 4.90; 95% confidence interval [CI], 1.78-13.45; P = .002), male sex (OR, 2.58; 95% CI, 1.20-5.56; P = .015), and Simplified Acute Physiology Score 3 (OR, 1.04; 95% CI, 1.01-1.07; P = .006). Overall ICU mortality was 40%, and hospital mortality was 56%. Noninvasive ventilation failure was the only independent predictor of ICU mortality (OR, 16.6; 95% CI, 6.5-41.5; P < .001). ConclusionsNoninvasive ventilation can avert ARF for most ICU cancer patients with ARF. For patients with pulmonary infections and high severity scores, NIV should be used with caution. Identifying risk factors for NIV failure using a comprehensive diagnostic approach and monitoring of NIV are paramount to improve outcomes.

ICU and 6-month outcome of oncology patients in the intensive care unit

Advances in oncological care have led to improved short- and long-term prognosis of cancer patients but admission to the intensive care unit (ICU) remains controversial. The objective was to assess the outcome of patients with haematological malignancies and solid tumours admitted to the ICU as emergencies, and to identify risk factors for mortality. Retrospective and prospective analysis of 185 cancer patients admitted to the ICU at Guy's Hospital (259 admissions), a large tertiary referral oncology centre between February 2004 and July 2008. One hundred and fifteen patients had haematological malignancies of whom 30.4% died in ICU. Seventy patients had solid tumours. ICU mortality was 27.1%. Fifty-four patients had >1 admission to ICU. ICU survivors had significantly lower acute physiology and chronic health evaluation II scores and less failed organ systems on admission to ICU and less organ failure during stay in the ICU. Neutropenia, sepsis and re-admission were not associated with an increased mortality. Six-month mortality rates for patients with haematological malignancies and solid tumours were 73 and 78.6%, respectively. Short-term outcome of critically ill cancer patients in ICU is better than previously reported. The decision to admit cancer patients to ICU should depend on the severity of the acute illness rather than factors related to the malignancy. In appropriate patients, invasive organ support and re-admission should not be withheld.

Symptom distress, interventions, and outcomes of intensive care unit cancer patients referred to a palliative care consult team

The symptom burden of intensive care unit (ICU) patients who are referred to a palliative care team (PCT) has not been characterized to the authors' knowledge, and the response of these symptoms to the palliative care intervention has not been reported. The authors retrospectively reviewed PCT consults for ICU patients who were seen between July 2006 and October 2007. To characterize symptom distress and outcomes in ICU patients who were referred to PCT in a cancer center, information and descriptive statistics about patients' demographics, comorbidities, PCT findings, interventions, and outcomes were obtained. The chi-square test was used to analyze ICU and PCT mortality, and the signed-rank test was used to analyze PCT interventions. Of 1637 PCT consults, 88 consults (5%) were from the ICU. The median patient age was 60 years (range, 22-87 years), and 41 patients (46%) were women. The types of cancers were hematologic (19 patients; 22%), gastrointestinal (19 patients; 22%), lung (18 patients; 20%), and others (24 patients; 26%). Nineteen patients were on mechanical ventilation (MV), and 24 patients were on bilevel positive airway pressure (BIPAP). The findings were delirium (71 patients; 81%), dyspnea (67 patients; 76%), pain (74 patients; 84%), fatigue (84 patients; 95%), and anxiety (57 patients; 65%). The interventions used were opioid management (99%), steroids (70%), antipsychotics (76%), and counseling (100%), do not resuscitate conversion (62 of 88 patients; 70%), withdrawal of MV (15 of 19 patients; 79%), and withdrawal of BIPAP (26 of 26 patients; 100%). Improvement was reported in pain (67 patients; 90%), dyspnea (60 patients; 90%), anxiety (51 patients; 80%), and delirium (31 patients; 44%). Thirty-five patients (40%) were transferred to the palliative care unit (PCU). Fifty-one ICU/PCT patients (58%) died during admission versus 130 of 1549 (8%) non-ICU PCT patients (P<.0001). Twenty-three of 35 patients who were transferred to the PCU (66%) died there versus 212 of 629 patients (34%) who were admitted to the PCU from another service (P<.0001). Thirty-seven of 88 ICU/PCT patients (42%) were discharged alive. ICU patients who are referred to the PCT have severe symptom distress. The PCT was able to identify multiple problems and make numerous pharmacologic and nonpharmacologic recommendations that improved these symptoms, including the participation in do not resuscitate conversion and withdrawal of MV and BIPAP. Although many patients in this population died, a significant subset, including those who were transferred to the PCU, survived to discharge.

Impact of two different comorbidity measures on the 6-month mortality of critically ill cancer patients

To evaluate the impact of two different comorbidity measures on the 6-month mortality of severely ill cancer patients. Prospective cohort study in a ten-bed oncological medical-surgical intensive care unit (ICU). A total of 772 consecutive patients were included over a 45-month period. The mean age was 57.6+/-16.4 years, and 642 (83%) patients had solid tumors. Data were collected on admission and during ICU stay. Comorbidities were evaluated using the Charlson Comorbidity Index (CCI) and the Adult Comorbidity Evaluation (ACE-27). The ICU, hospital, and 6-month mortality rates were 34%, 47%, and 58%, respectively. The most frequent comorbidities were hypertension (33%), diabetes mellitus (8%), and chronic pulmonary disease (7%). There were important differences between the two indices regarding the comorbidity evaluation. Using the ACE-27, 389 patients (50%) had comorbid ailments that were classified as mild (31%), moderate (14%), and severe (5%) according to the comorbidity severity. According to the CCI, 212 patients (27%) had a comorbidity, and their median score was 1 (1-2). In the multivariable Cox proportional hazard models only the presence of a severe comorbidity by the ACE-27 was associated with increased mortality. The CCI was not independently associated with the outcome. Other outcome predictors were older age, poor performance status, active cancer, need of mechanical ventilation, and severity of acute organ failures. Severe comorbidities must be considered in the outcome evaluation of ICU cancer patients. The ACE-27 seems to be a useful instrument for prognostic assessment in this population.