Outcome and prognostic factors of lung cancer patients admitted to the medical intensive care unit

Characteristics, management, and outcomes of patients with lung cancer admitted to a tertiary care intensive care unit over more than 20 years

RATIONALE

The prognosis of patients with lung cancer admitted to the intensive care unit (ICU) is often perceived as poor. We described the characteristics, management, and outcomes of critically ill patients with lung cancer and determined the predictors of mortality.

METHODS

We retrospectively studied patients with lung cancer who were admitted to the ICU of a tertiary care hospital between 1999 and 2021 for the reasons other than routine postoperative care. We noted their characteristics, ICU management, and outcomes. We performed the multivariable logistic regression analysis to determine the predictors of hospital mortality.

RESULTS

In the 23-year period, 306 patients with lung cancer were admitted to the ICU (median age = 63.0 years, 68.3% males, 45.6% with moderate/severe functional disability, most had advanced lung cancer, and median Acute Physiology and Chronic Health Evaluation II score = 24.0). Life support measures included invasive mechanical ventilation (47.1%), vasopressors (34.0%), and new renal replacement therapy (8.8%). Do-Not-Resuscitate orders were implemented during ICU stay in 30.1%. The hospital mortality was 43.8% with a significantly lower rate in patients admitted after 2015 (28.0%). The predictors of mortality were moderate/severe baseline disability (odds ratio [OR] 2.65, 95% confidence interval [CI] 1.22, 5.78), advanced lung cancer (OR 8.36, 95% CI 1.81, 38.58), lactate level (OR 1.45, 95% CI 1.12, 1.88, invasive mechanical ventilation (OR 10.92, 95% CI 4.98, 23.95), and admission period after 2015 (OR 0.37, 95% CI 0.16, 0.85).

CONCLUSIONS

The mortality rates in patients with lung cancer admitted to the ICU during a 23-year period decreased after 2015. Functional disability, advanced lung cancer stage, vasopressor use, and invasive mechanical ventilation predicted mortality.

Development of a well-defined tool to predict the overall survival in lung cancer patients: an African based cohort

BACKGROUND

Nomogram is a graphic representation containing the expressed factor of the mathematical formula used to define a particular phenomenon. We aim to build and internally validate a nomogram to predict overall survival (OS) in patients diagnosed with lung cancer (LC).

METHODS

We included 1200 LC patients from a single institution registry diagnosed from 2013 to 2021. The independent prognostic factors of LC patients were identified via cox proportional hazard regression analysis. Based on the results of multivariate cox analysis, we constructed the nomogram to predict the OS of LC patients.

RESULTS

We finally included a total of 1104 LC patients. Age, medical urgency at diagnosis, performance status, radiotherapy, and surgery were identified as prognostic factors, and integrated to build the nomogram. The model performance in predicting prognosis was measured by receiver operating characteristic curve. Calibration plots of 6-, 12-, and 24- months OS showed optimal agreement between observations and model predictions.

CONCLUSION

We have developed and validated a unique predictive tool that can offer patients with LC an individual OS prognosis. This useful prognostic model could aid doctors in making decisions and planning therapeutic trials.

Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit

BACKGROUNDS

The in-hospital mortality in lung cancer patients admitted to intensive care unit (ICU) is extremely high. This study intended to adopt machine learning algorithm models to predict in-hospital mortality of critically ill lung cancer for providing relative information in clinical decision-making.

METHODS

Data were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) for a training cohort and data extracted from the Medical Information Mart for eICU Collaborative Research Database (eICU-CRD) database for a validation cohort. Logistic regression, random forest, decision tree, light gradient boosting machine (LightGBM), eXtreme gradient boosting (XGBoost), and an ensemble (random forest+LightGBM+XGBoost) model were used for prediction of in-hospital mortality and important feature extraction. The AUC (area under receiver operating curve), accuracy, F1 score and recall were used to evaluate the predictive performance of each model. Shapley Additive exPlanations (SHAP) values were calculated to evaluate feature importance of each feature.

RESULTS

Overall, there were 653 (24.8%) in-hospital mortality in the training cohort, and 523 (21.7%) in-hospital mortality in the validation cohort. Among the six machine learning models, the ensemble model achieved the best performance. The top 5 most influential features were the sequential organ failure assessment (SOFA) score, albumin, the oxford acute severity of illness score (OASIS) score, anion gap and bilirubin in random forest and XGBoost model. The SHAP summary plot was used to illustrate the positive or negative effects of the top 15 features attributed to the XGBoost model.

CONCLUSION

The ensemble model performed best and might be applied to forecast in-hospital mortality of critically ill lung cancer patients, and the SOFA score was the most important feature in all models. These results might offer valuable and significant reference for ICU clinicians' decision-making in advance.

Scoring systems in critically ill: Which one to use in cancer patients?

BACKGROUND

Scoring systems have not been evaluated in oncology patients. We aimed to assess the performance of Acute Physiology and Chronic Health Evaluation (APACHE) II, APACHE III, APACHE IV, Simplified Acute Physiology Score (SAPS) II, SAPS III, Mortality Probability Model (MPM) II₀ and Sequential Organ Failure Assessment (SOFA) score in critically ill oncology patients.

AIM

To compare the efficacy of seven commonly employed scoring systems to predict outcomes of critically ill cancer patients.

METHODS

We conducted a retrospective analysis of 400 consecutive cancer patients admitted in the medical intensive care unit over a two-year period. Primary outcome was hospital mortality and the secondary outcome measure was comparison of various scoring systems in predicting hospital mortality.

RESULTS

In our study, the overall intensive care unit and hospital mortality was 43.5% and 57.8%, respectively. All of the seven tested scores underestimated mortality. The mortality as predicted by MPM II₀ predicted death rate (PDR) was nearest to the actual mortality followed by that predicted by APACHE II, with a standardized mortality rate (SMR) of 1.305 and 1.547, respectively. The best calibration was shown by the APACHE III score (χ² = 4.704, P = 0.788). On the other hand, SOFA score (χ² = 15.966, P = 0.025) had the worst calibration, although the difference was not statistically significant. All of the seven scores had acceptable discrimination with good efficacy however, SAPS III PDR and MPM II₀ PDR (AUROC = 0.762), had a better performance as compared to others. The correlation between the different scoring systems was significant (P < 0.001).

CONCLUSION

All the severity scores were tested under-predicted mortality in the present study. As the difference in efficacy and performance was not statistically significant, the choice of scoring system used may depend on the ease of use and local preferences.

Prognostic factors for advanced lung cancer patients with do-not-intubate order in intensive care unit: a retrospective study

Background

The survival of patients with lung cancer undergoing critical care has improved. An increasing number of patients with lung cancer have signed a predefined do-not-intubate (DNI) order before admission to the intensive care unit (ICU). These patients may still be transferred to the ICU and even receive non-invasive ventilation (NIV) support. However, there is still a lack of prognostic predictions in this cohort. Whether patients will benefit from ICU care remains unclear.

Methods

We retrospectively collected data from patients with advanced lung cancer who had signed a DNI order before ICU admission in a tertiary medical center between 2014 and 2016. The clinical characteristics and survival outcomes were discussed.

Results

A total of 140 patients (median age, 73 years; 62.1% were male) were included, had been diagnosed with stage III or IV non-small cell lung cancer (NSCLC) (AJCC 7th edition), and signed a DNI. Most patients received NIV during ICU stay. The median APACHE II score was 14 (standard error [SE], ± 0.66) and the mean PaO2/FiO2 ratio (P/F ratio) was 174.2 (SD, ± 104 mmHg). The APACHE II score was significantly lower in 28-day survivors (survivor: 12 (± 0.98) vs. non-survivor: 15 (± 0.83); p = 0.019). The P/F ratio of the survivors was higher than that of non-survivors (survivors: 209.6 ± 111.4 vs. non-survivors: 157.9 ± 96.7; p = 0.006). Patients with a P/F ratio ≥ 150 had better 28-day survival (p = 0.005). By combining P/F ratio ≥ 150 and APACHE II score < 16, those with high P/F ratios and low APACHE II scores during ICU admission had a notable 28-day survival compared with the rest (p < 0.001). These prognostic factors could also be applied to 90-day survival (p = 0.003). The prediction model was significant for those with driver mutations in 90-day survival (p = 0.021).

Conclusions

P/F ratio ≥ 150 and APACHE II score < 16 were significant prognostic factors for critically ill patients with lung cancer and DNI. This prediction could be applied to 90-day survival in patients with driver mutations. These findings are informative for clinical practice and decision-making.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12890-022-02042-7.

A Novel Nomogram for Predicting Morbidity Risk in Patients with Secondary Malignant Neoplasm of Bone and Bone Marrow: An Analysis Based on the Large MIMIC-III Clinical Database

Objective

Bone and bone marrow are the third most frequent sites of metastases from many cancers and are associated with low survival and high morbidity rates. Currently, there are no effective bedside tools to predict the morbidity risk of these patients in general intensive care units (ICUs). The main objective of this study was to establish and validate a nomogram to predict the morbidity risk of patients with bone and bone marrow metastases.

Methods

Data on patients with bone and bone marrow metastases were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. The patients were divided into training and validation cohorts. The data were analyzed using univariate and multivariate Cox regression methods. Factors significantly and independently prognostic of survival were used to construct a nomogram predicting 30-day morbidity. The nomogram was validated by various methods, including Harrell’s concordance index (C-index), area under the receiver operating characteristic curve (AUC), calibration curve, integrated discrimination improvement (IDI), net reclassification index (NRI), and decision curve analysis (DCA).

Results

The study included 610 patients in the training cohort and 262 in the validation cohort. Multivariate Cox regression analysis showed that temperature, SpO₂, Sequential Organ Failure Assessment (SOFA) score, Oxford Acute Severity of Illness Score (OASIS), comorbidities with coagulopathy, white blood cell count, heart rate, and respiratory rate were independent predictors of patient survival. The resulting nomogram had good discriminative ability, as shown by high AUCs, and was well calibrated, as demonstrated by calibration curves. Improvements in NRI and IDI values suggested that the nomogram was superior to the SOFA scoring system. DCA curves revealed that the nomogram showed good value in clinical applications.

Conclusion

This prognostic nomogram, based on demographic and laboratory parameters, was predictive of the 30-day morbidity rate in patients with secondary malignant neoplasms of the bone and bone marrow, suggesting its applicability in clinical practice.

Tyrosine Kinase Inhibitors Improved Survival of Critically Ill EGFR-Mutant Lung Cancer Patients Undergoing Mechanical Ventilation

Background: Respiratory failure requiring mechanical ventilation is the major reason for lung cancer patients being admitted to the intensive care unit (ICU). Though molecular targeted therapies, especially epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs), have largely improved the survival of oncogene-driven lung cancer patients, few studies have focused on the performance of TKI in such settings. Materials and Methods: This was a retrospective cohort study enrolling non-small cell lung cancer (NSCLC) patients who harbored sensitizing EGFR mutation and had received EGFR-TKIs as first-line cancer therapy in the ICU with mechanical ventilator use. The primary outcome was the 28-day ICU survival rate, and secondary outcomes were the rate of successful weaning from the ventilator and overall survival. Results: A total of 35 patients were included. The 28-day ICU survival rate was 77%, and the median overall survival was 67 days. Multivariate logistic regression revealed that shock status was associated with a lower 28-day ICU survival rate independently (odds ratio (OR) 0.017, 95% confidence interval (CI), 0.000–0.629, p = 0.027), and that L858R mutation (L858R compared with exon 19 deletion, OR, 0.014, 95% CI 0.000–0.450, p = 0.016) and comorbidities of diabetes mellitus (DM) (OR, 0.032, 95% CI, 0.000–0.416, p = 0.014)) were independently predictive of weaning failure. The successful weaning rate was 43%, and the median of ventilator-dependent duration was 22 days (IQR, 12–29). Conclusions: For EGFR mutant lung cancer patients suffering from respiratory failure and undergoing mechanical ventilation, TKI may still be useful, especially in those with EGFR del19 mutation or without shock and DM comorbidity.

An evolving role for endobronchial ultrasonography in the intensive care unit

Endobronchial ultrasound (EBUS) bronchoscopy is an established minimally-invasive modality for visualization, characterization, and guidance of sampling of paratracheal and parabronchial structures and tissues. In the intensive care unit (ICU), rapidly obtaining an accurate diagnosis is paramount to the management of critically ill patients. In some instances, diagnosing and confirming terminal illness in a critically ill patient provides needed closure for patients and their loved ones. Currently available data on feasibility, safety, and yield of EBUS bronchoscopy in critically ill patients is based on single center experiences. These data suggest that in select ICU patients convex and radial probe-EBUS bronchoscopy can serve as useful tools in the evaluation of mediastinal lymphadenopathy, central airway obstruction, pulmonary embolism, and peripheral lung lesions. Barriers to the use of EBUS bronchoscopy in the ICU include: (I) requirement for dedicated equipment, prolonged procedure time, and bronchoscopy team expertise that may not be available; (II) applicability to a limited number of patients and conditions in the ICU; and (III) technical difficulty related to the relatively large outer diameter of the convex probe-EBUS bronchoscope and an increased risk for adverse cardiopulmonary consequences due to intermittent obstruction of the artificial airway. While the prospects for EBUS bronchoscopy in critically ill patients appear promising, judicious patient selection in combination with bronchoscopy team expertise are of utmost importance when considering performance of EBUS bronchoscopy in the ICU setting.

Clinical outcomes in patients with lung cancer admitted to intensive care units

Background

Recent advances in critical care and infection control have led to improved intensive care unit (ICU) survival rates. However, controversy exists regarding the benefits of ICU treatment for patients with lung cancer. In this study, we evaluated the clinical outcomes of patients from the Korean national database, who had been diagnosed with lung cancer and had received ICU treatment.

Methods

We investigated patients in Korea who had been newly diagnosed with lung cancer between January 1, 2008 and December 31, 2010. We classified these critically ill patients with lung cancer according to their lung cancer treatment pathways, with a specific focus on those who had undergone ICU treatment.

Results

We found that 31.3% of patients newly diagnosed with lung cancer had been admitted to the ICU for any reason, and 18.5% of patients with lung cancer were admitted to the ICU for reasons other than postoperative surgical lung cancer resection. The ICU mortality rate was 2.9% in patients admitted to the ICU for postoperative care and 47.5% in patients admitted for other reasons. Clinical cancer staging (HR, 7.02; 95% CI, 5.82–8.48; P<0.01) and the need for mechanical ventilator (HR, 1.34; 95% CI, 1.27–1.41; P<0.01) were independently associated with ICU mortality. The importance of mechanical ventilator intervention as a predictor for survival was significantly greater in the earlier stages of lung cancer (HR, 1.97; 95% CI, 1.15–3.38; P<0.01).

Conclusions

This study suggests that goals and treatment plans for critically ill patients with lung cancer should be determined by the individual patient’s clinical cancer stage, regardless of the reason for admission to the ICU.

A population-based observational study of patients with pulmonary disorders in intensive care unit

BACKGROUND/AIMS

Only a few epidemiologic studies on the patients with pulmonary disorders admitted to intensive care unit exist. We investigated the characteristics and clinical outcomes of the patients with severe pulmonary disorders.

METHODS

The sample cohort database of National Health Insurance Sharing Service from 2006 to 2015 was used. Operational definition of critically ill patients was adults who were either admitted to intensive care unit for at least 3 days or expired within first 2 days in the unit. The pulmonary disorder group comprised of critically ill patients with respiratory disease as the main diagnosis.

RESULTS

Among the 997,173 patients, 12,983 (1.3%) in 383 intensive care units were categorized as critically ill. Patients in the pulmonary disorder group tended to have more comorbidities or disabilities. The length of hospital stay and duration of mechanical ventilation were longer in the pulmonary disorder group. Overall mortality and re-admission were higher in the pulmonary disorder group, with adjusted incidence rate ratios of 1.22 (95% confidence interval, 1.18 to 1.27) and 1.26 (95% confidence interval, 1.17 to 1.36), respectively. After adjustment by Cox regression, the pulmonary disorder group was an independent risk factor for in-hospital mortality.

CONCLUSION

In critically ill patients with pulmonary disorder, the use of healthcare resources was higher, and their clinical outcomes were significantly worse than the non-pulmonary disorder group.

Etiologies of delayed diagnosis and six-month outcome of patients with newly diagnosed advanced lung cancer with respiratory failure at initial presentation

Background

This study aimed to evaluate the characteristics of patients with newly diagnosed advanced lung cancer who initially presented with respiratory failure.

Methods

This was a retrospective study which analyzed patients in the intensive care unit (ICU) with newly diagnosed advanced lung cancer who were placed on mechanical ventilation (MV). We defined newly diagnosed lung cancer as pathological or molecular results for treatment decisions not yet determined when the patient was admitted to ICU.

Results

During the 14‐year inclusion period, 845 lung cancer patients requiring MV were screened. A total of 56 newly diagnosed extensive lung cancer patients were analyzed. Cancer‐related to central airway obstruction (n = 29, 51.8%) was the leading cause of respiratory failure. The significant etiologies of delay in the diagnosis of lung cancer were diagnostic error, mistaking cancer for tuberculosis, and missed hilar lesions. The six‐month survival rate was only 7.1% (n = 4). The sequential organ failure assessment (SOFA) score was significantly associated with mortality (HR = 1.142, 95% CI = 1.012–1.288, P = 0.031). The six‐month survival rate in patients receiving suitable targeted therapy and accepting chemotherapy and best supportive care was 40% (2/5), 0% (0/7), and 4.5% (2/44), respectively.

Conclusions

Patients with newly diagnosed advanced lung cancer with acute life‐threatening respiratory failure have poor outcomes. Cancer‐related to central airway obstruction is a leading cause of respiratory failure. Diagnostic errors such as tuberculosis and missed hilar lesions are the two main etiologies of a delay in diagnosis. The SOFA score is correlated with mortality. Targeted therapy can raise the six‐month survival rates in patients with oncogenic mutation adenocarcinoma, who survive after presentation in a critical condition.

Twenty-eight-day mortality in lung cancer patients with metastasis who initiated mechanical ventilation in the emergency department

Few data are available regarding treatment outcomes in lung cancer patients with metastasis who initiated mechanical ventilation in the emergency department (ED). We aimed to evaluate 28-day mortality in lung cancer patients with metastasis who initiated mechanical ventilation in the ED. Patients with solid malignancy who initiated mechanical ventilation in the ED of a tertiary hospital were retrospectively identified and stratified into four groups according to the presence of lung cancer and metastasis. Among 212 included patients, the mortality rates by the 28^th hospital day were as follows: 44.2% (19/43) in non-lung cancer patients without metastasis, 63.2% (43/68) in non-lung cancer patients with metastasis, 52.4% (11/21) in lung cancer patients without metastasis, and 66.2% (53/80) in lung cancer patients with metastasis. In multivariable analysis, lung cancer patients with metastasis had significantly higher odds ratio for 28-day mortality than non-lung cancer patients without metastasis (adjusted odds ratio [OR] = 7.17, 95% confidence interval [CI] = 2.14-24.01). Sepsis-related respiratory failure (adjusted OR = 2.60, 95% CI = 1.16-5.84) and cardiopulmonary resuscitation (adjusted OR = 13.34, 95% CI = 4.45-39.95) over respiratory failure without sepsis and acute organ dysfunction process measured by sequential organ failure assessment (SOFA) score (adjusted OR = 1.15, 95% CI = 1.05-12.6) were independently associated with an increase in mortality rate. In conclusion, the treatment outcomes in lung cancer patients with metastasis who initiated mechanical ventilation in the ED were poor. Aggressive resuscitation versus end-of-life care in advance of an unexpected medical crisis should be considered in lung cancer patients with metastasis via a multidisciplinary approach with a consideration of underlying comorbid illnesses in the acute organ dysfunction processes.

[Lung cancer: Prognosis in intensive care depends mainly on the acute complication]

INTRODUCTION

It has been demonstrated in unselected populations of cancer patients that prognosis in intensive care is essentially dependent on the extent of the acute physiological disturbance caused by the complication precipitating the admission. By contrast, the prognosis after hospital discharge remains dependent on the characteristics of the underlying neoplasm. The aim of our study was to confirm whether this general finding was the case in a specific population of lung cancer patients, since there are no data on this patient group in the literature.

PATIENTS AND METHODS

We conducted a retrospective study including all patients with lung cancer admitted to our ICU between September 1, 2008 and December 31, 2013.

RESULTS

During this period, 180 different patients with lung cancer were admitted into ICU. The simplified acute physiology score II (SAPS II) (OR 1.07 ; 95% CI 1.04-1.11), respiratory failure (OR 4.00; 95% CI 1.76-9.07) and the presence of therapeutic limitations were the 3 factors independently affecting hospital mortality in multivariate analysis. Considering only patients discharged alive from the hospital, the presence of metastases (HR 2.30; 95% CI 1.44-3.65) and limitations on therapy (HR 5,89; IC 95% 3,11-11,14) were the two statistically independent prognostic factors for overall survival.

CONCLUSION

In this population of lung cancer patients admitted into ICU, independent predictors of hospital mortality are determined by the physiological perturbations induced by the acute presenting complication. After recovery from this, prognosis is again determined by the characteristics of the underlying cancer.

Characteristics and outcome of patients with newly diagnosed advanced or metastatic lung cancer admitted to intensive care units (ICUs)

Background

Although patients with advanced or metastatic lung cancer have poor prognosis, admission to the ICU for management of life-threatening complications has increased over the years. Patients with newly diagnosed lung cancer appear as good candidates for ICU admission, but more robust information to assist decisions is lacking. The aim of our study was to evaluate the prognosis of newly diagnosed unresectable lung cancer patients.

Methods

A retrospective multicentric study analyzed the outcome of patients admitted to the ICU with a newly diagnosed lung cancer (diagnosis within the month) between 2010 and 2013.

Results

Out of the 100 patients, 30 had small cell lung cancer (SCLC) and 70 had non-small cell lung cancer. (Thirty patients had already been treated with oncologic treatments.) Mechanical ventilation (MV) was performed for 81 patients. Seventeen patients received emergency chemotherapy during their ICU stay. ICU, hospital, 3- and 6-month mortality were, respectively, 47, 60, 67 and 71%. Hospital mortality was 60% when invasive MV was used alone, 71% when MV and vasopressors were needed and 83% when MV, vasopressors and hemodialysis were required. In multivariate analysis, hospital mortality was associated with metastatic disease (OR 4.22 [1.4–12.4]; p = 0.008), need for invasive MV (OR 4.20 [1.11–16.2]; p = 0.030), while chemotherapy in ICU was associated with survival (OR 0.23, [0.07–0.81]; p = 0.020).

Conclusion

This study shows that ICU management can be appropriate for selected newly diagnosed patients with advanced lung cancer, and chemotherapy might improve outcome for patients with SCLC admitted for cancer-related complications. Nevertheless, tumors’ characteristics, numbers and types of organ dysfunction should be taken into account in the decisional process before admitting these patients in ICU.

Risk factors and mortality of adults with lung cancer admitted to the intensive care unit

Background

This study aims to investigate lung cancer patients' risk factors for: intensive care unit (ICU) admission, infectious complications and organ dysfunction in the ICU, and prognosis after ICU admission.

Methods

The records of all patients with lung-cancer catastrophic-illness cards admitted to the ICU between 2003 and 2012 were reviewed. The primary endpoint was 1-year mortality.

Results

We finally analyzed the records of index-date-, age-, and sex-matched ICU-admitted (ICU⁺) lung cancer patients (n=17,687) and ICU-non-admitted (ICU^-) lung cancer patients (n=35,374). The overall 1-year mortality rate was significantly (P<0.0001) higher for ICU⁺ patients (49.91%) than for ICU^- patients (44.86%). Most ICU⁺ patients (56.16%) had infectious complications and organ dysfunction (52.33%), and overall, 6,893 (38.97%) had sepsis. Independent mortality risk factors were age (≥75 years) [adjusted hazard ratio (AHR), 1.22; 95% confidence interval (CI), 1.16-1.29], male sex: (AHR, 1.18; 95% CI, 1.13-1.23), recent radiotherapy (AHR, 1.09; 95% CI, 1.04-1.15), infectious complications (AHR: 1.23; 95% CI: 1.17-1.29), organ dysfunction (AHR, 1.57; 95% CI, 1.50-1.65), and hospital level (regional hospital: AHR, 1.11; 95% CI, 1.06-1.16; local hospital: AHR, 1.28; 95% CI, 1.18-1.37).

Conclusions

ICU admission for lung cancer patients is associated with higher mortality. Several risk factors of mortality for ICU⁺ patients should help physicians provide patients personalized and better-informed lung cancer therapy decisions.

Prognostic factors of noninvasive mechanical ventilation in lung cancer patients with acute respiratory failure

Introduction

Few studies have reported outcomes of lung cancer patients with acute respiratory failure (RF) using noninvasive positive pressure ventilation (NIPPV). The aim of this study was to investigate the prognostic factors in these patients.

Materials and methods

This retrospective observational study included all hospitalized lung cancer patients who received NIPPV for acute RF. It was conducted at a tertiary medical center in Taiwan from 2005 to 2010. The primary outcome was all cause mortality at 28 days after the initiation of NIPPV. Secondary outcomes included all-cause in-hospital mortality, weaning from NIPPV, intubation rate, tracheostomy rate, duration of NIPPV, hospital stay and intensive care unit stay.

Results

The all-cause mortality rate at day 28 of the enrolled 58 patients was 39.66%. The 90-day and 1-year mortality rates were 63.79% and 86.21%, respectively. NIPPV as the first line therapy for RF had higher 28-day mortality rate than it used for post-extubation RF (57.6% versus 16.0%, p<0.05). Independent predictors of mortality at 28 days were progressive disease or newly diagnosed lung cancer (OR 14.02 95% CI 1.03–191.59, p = 0.048), combined with other organ failure (OR 18.07 95% CI 1.87–172.7, p = 0.012), and NIPPV as the first line therapy for RF (OR 35.37 95% CI 3.30–378.68, p = 0.003).

Conclusion

Lung cancer patients using NIPPV with progressive or newly diagnosed cancer disease, combined with other organ failure, or NIPPV as the first line therapy for respiratory failure have a poor outcome.

Predictors of In-Hospital Mortality in Patients With Metastatic Cancer Receiving Specific Critical Care Therapies

BACKGROUND

In-hospital mortality is high for critically ill patients with metastatic cancer. To help patients, families, and clinicians make an informed decision about invasive medical treatments, we examined predictors of in-hospital mortality among patients with metastatic cancer who received critical care therapies (CCTs).

PATIENTS AND METHODS

We used the 2010 California Healthcare Cost and Utilization Project: State Inpatient Databases to identify admissions of patients with metastatic cancer (age ≥18 years) who received CCTs, including invasive mechanical ventilation (IMV), tracheostomy, percutaneous endoscopic gastrostomy (PEG) tube, acute use of dialysis, and total parenteral nutrition (TPN). We first described the characteristics and outcomes of patients who received any CCTs. We then used multivariable logistic regression models with generalized estimating equations (to account for clustering within hospitals) to identify predictors of in-hospital mortality among patients who received any CCTs.

RESULTS

For 2010, we identified 99,085 admissions among patients with metastatic cancer. Of these, 9,348 (9.4%) received any CCT during hospitalization; 50% received IMV, 15% PEG tube, 8% tracheostomy, 40% TPN, and 8% acute dialysis. Inpatient mortality was 30%. Of patients who received any CCT and survived to discharge, 27% were discharged to a skilled nursing facility. Compared with patients who died, costs of care were $3,019 higher for admissions in which patients survived the hospitalization. Predictors of in-hospital mortality included non-white race (vs whites), lack of insurance (vs Medicare), unscheduled admissions, principal diagnosis of infections (vs cancer-related), greater burden of comorbidities, end-stage renal disease, liver disease and lung cancer (vs other cancers).

CONCLUSIONS

Although more studies are needed to better understand risks and benefits of specific treatments in the setting of specific cancer types, these data will help to inform decision-making for patients with metastatic cancer who become critically ill.

Characteristics and Outcome of Cancer Patients Admitted to the ICU in England, Wales, and Northern Ireland and National Trends Between 1997 and 2013

OBJECTIVE

To describe trends in outcomes of cancer patients with an unplanned admission to the ICU between 1997 and 2013 and to identify risk factors for mortality of those admitted between 2009 and 2013.

DESIGN

Retrospective analysis.

SETTING

Intensive Care National Audit & Research Centre Case Mix Programme Database including data of ICUs in England, Wales, and Northern Ireland.

PATIENTS

Patients (99,590) with a solid tumor and 13,538 patients with a hematological malignancy with an unplanned ICU admission between 1997 and 2013; 39,734 solid tumor patients and 6,652 patients with a hematological malignancy who were admitted between 2009 and 2013 were analyzed in depth.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

In solid tumor patients admitted between 2009 and 2013, hospital mortality was 26.4%. Independent risk factors for hospital mortality were metastatic disease (odds ratio, 1.99), cardiopulmonary resuscitation before ICU admission (odds ratio, 1.63), Intensive Care National Audit & Research Centre Physiology score (odds ratio, 1.14), admission for gastrointestinal (odds ratio, 1.12), respiratory (odds ratio, 1.48) or neurological (odds ratio, 1.65) reasons, and previous ICU admission (odds ratio, 1.18). In patients with a hematological malignancy admitted between 2009 and 2013, hospital mortality was 53.6%. Independent risk factors for hospital mortality were age (odds ratio, 1.02), cardiopulmonary resuscitation before ICU admission (odds ratio, 1.90), Intensive Care National Audit & Research Centre Physiology Score (odds ratio, 1.12), admission for hematological (odds ratio, 1.48) or respiratory (odds ratio, 1.56) reasons, bone marrow transplant (odds ratio, 1.53), previous ICU admission (odds ratio, 1.43), and mechanical ventilation within 24 hours of admission (odds ratio, 1.33). Trend analysis showed a significant decrease in ICU and hospital mortality and length of stay between 1997 and 2013 despite little change in severity of illness during this time.

CONCLUSIONS

Between 1997 and 2013, the outcome of cancer patients with an unplanned admission to ICU improved significantly. Among those admitted between 2009 and 2013, independent risk factors for hospital mortality were age, severity of illness, previous cardiopulmonary resuscitation, previous ICU admission, metastatic disease, and admission for respiratory reasons.

Urgent Chemotherapy for Life-Threatening Complications Related to Solid Neoplasms

OBJECTIVES

Solid neoplasms can be directly responsible for organ failures at the time of diagnosis or relapse. The management of such specific complications relies on urgent chemotherapy and eventual instrumental or surgical procedures, combined with advanced life support. We conducted a multicenter study to address the prognosis of this condition.

DESIGN

A multicenter retrospective (2001-2015) chart review.

SETTING

Medical and respiratory ICUs.

PATIENTS

Adult patients who received urgent chemotherapy in the ICU for organ failure related to solid neoplasms were included. The modalities of chemotherapy, requirements of adjuvant instrumental or surgical procedures, and organ supports were collected. Endpoints were short- and long-term survival rates.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

One hundred thirty-six patients were included. Lung cancer was the most common malignancy distributed into small cell lung cancer (n = 57) and non-small cell lung cancer (n = 33). The main reason for ICU admission was acute respiratory failure in 111 patients (81.6%), of whom 89 required invasive mechanical ventilation. Compression and tissue infiltration by tumor cells were the leading mechanisms resulting in organ involvement in 78 (57.4%) and 47 (34.6%) patients. The overall in-ICU, in-hospital, 6-month, and 1-year mortality rates were 37%, 58%, 74%, and 88%, respectively. Small cell lung cancer was identified as an independent predictor of hospital survival. However, this gain in survival was not sustained since the 1-year survival rates of small cell lung cancer, non-small cell lung cancer, and non-lung cancer patients all dropped below 20%.

CONCLUSIONS

Urgent chemotherapy along with aggressive management of organ failures in the ICU can be lifesaving in very selected cancer patients, most especially with small cell lung cancer, although the long-term survival is hardly sustainable.

Outcomes of cancer therapy administered to treatment-naïve lung cancer patients in the intensive care unit

Objectives: Therapy outcomes for newly diagnosed, critically ill lung cancer patients have seldom been evaluated. This study evaluated therapy outcomes for treatment-naïve lung cancer patients in the intensive care unit (ICU). Materials and Methods: Patients were excluded if they had previously received lung cancer treatment, such as systemic chemotherapy, targeted therapy, radiotherapy, or surgical lung resection before ICU admission. The therapeutic strategies for the treatment-naïve patients were determined while they were in the ICU. The patients' demographic data, clinical outcomes, and treatment-related toxicities were analyzed. Results: Newly diagnosed lung cancer patients (n = 72) who did not receive any anticancer treatment before ICU admission were included. Most patients had locally advanced disease, and 61 (84.7%) required intensive care due to cancer-related events. In the ICU, 24 (33.3%) patients received chemotherapy, 24 (33.3%) received epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) therapy and 24 (33.3%) received best supportive care (BSC). Patients receiving chemotherapy or EGFR-TKIs in the ICU demonstrated better ICU (p = 0.011) and in-hospital (p = 0.034) survival than those receiving BSC only. Among patients requiring mechanical ventilation, those receiving chemotherapy had higher weaning rates than those receiving EGFR-TKIs or BSC (p = 0.002). In multivariate analysis, receipt of chemotherapy (hazard ratio [HR], 0.443; p = 0.083) and mechanical ventilation (HR, 0.270; p = 0.022) were significantly associated with longer ICU survival after adjusting for clinical factors. Conclusions: Anticancer therapy in the ICU might provide better short-term ICU survival for treatment-naïve, critically ill lung cancer patients.

Critical Care Prognosis and Outcomes in Patients with Cancer

Advances in cancer treatment and patient survival are associated with increasing number of these patients requiring intensive care. Over the last 2 decades, there has been a steady improvement in the outcomes of critically ill patients with cancer. This review provides data on the use of the intensive care unit (ICU) and short and long-term outcomes of critically ill patients with cancer, the ICU system practices that influence patients outcomes, and the role of the different clinical variables in predicting the prognosis of these patients.

Lazarus response to treatment of patients with lung cancer and oncogenic mutations in the intensive care unit

Novel targeted therapy for patients with non-small-cell lung cancer (NSCLC) and oncogenic mutations along with poor performance status (PS) sometimes evokes a "Lazarus" response. Moreover, for critically ill patients with NSCLC and respiratory failure requiring mechanical ventilation (MV) in the intensive care unit (ICU), only a few case reports have demonstrated positive outcomes with targeted therapy. This perspective review describes in detail the most recently published data in order to highlight the findings and the main pitfalls of targeted therapy for patients with NSCLC in the ICU.

Short-term and medium-term survival of critically ill patients with solid tumours admitted to the intensive care unit: a retrospective analysis

OBJECTIVES

Patients with cancer frequently require unplanned admission to the intensive care unit (ICU). Our objectives were to assess hospital and 180-day mortality in patients with a non-haematological malignancy and unplanned ICU admission and to identify which factors present on admission were the best predictors of mortality.

DESIGN

Retrospective review of all patients with a diagnosis of solid tumours following unplanned admission to the ICU between 1 August 2008 and 31 July 2012.

SETTING

Single centre tertiary care hospital in London (UK).

PARTICIPANTS

300 adult patients with non-haematological solid tumours requiring unplanned admission to the ICU.

INTERVENTIONS

None.

PRIMARY AND SECONDARY OUTCOMES

Hospital and 180-day survival.

RESULTS

300 patients were admitted to the ICU (median age 66.5 years; 61.7% men). Survival to hospital discharge and 180 days were 69% and 47.8%, respectively. Greater number of failed organ systems on admission was associated with significantly worse hospital survival (p<0.001) but not with 180-day survival (p=0.24). In multivariate analysis, predictors of hospital mortality were the presence of metastases (OR 1.97, 95% CI 1.08 to 3.59), Acute Physiology and Chronic Health Evaluation II (APACHE II) Score (OR 1.07, 95% CI 1.01 to 1.13) and a Glasgow Coma Scale Score <7 on admission to ICU (OR 5.21, 95% CI 1.65 to 16.43). Predictors of worse 180-day survival were the presence of metastases (OR 2.82, 95% CI 1.57 to 5.06), APACHE II Score (OR 1.07, 95% CI 1.01 to 1.13) and sepsis (OR 1.92, 95% CI 1.09 to 3.38).

CONCLUSIONS

Short-term and medium-term survival in patients with solid tumours admitted to ICU is better than previously reported, suggesting that the presence of cancer alone should not be a barrier to ICU admission.

[Limitations of active therapeutic and palliative care in chronic respiratory disease]

The issue of intensive and palliative care in patients with chronic disease frequently arises. This review aims to describe the prognostic factors of chronic respiratory diseases in stable and in acute situations in order to improve the management of these complex situations. The various laws on patients' rights provide a legal framework and define the concept of unreasonable obstinacy. For patients with chronic obstructive pulmonary disease, the most robust decision factors are good knowledge of the respiratory disease, the comorbidities, the history of previous exacerbations and patient preferences. In the case of idiopathic pulmonary fibrosis, it is necessary to know if there is a prospect of transplantation and to assess the reversibility of the respiratory distress. In the case of amyotrophic lateral sclerosis, treatment decisions depend on the presence of advance directives about the use of intubation and tracheostomy. For lung cancer patients, general condition, cancer history and the tumor treatment plan are important factors. A multidisciplinary discussion that takes into account the patient's medical history, wishes and the current state of knowledge permits the taking of a coherent decision.

Intensive care outcomes in adult hematopoietic stem cell transplantation patients

Although outcomes of intensive care for patients undergoing hematopoietic stem cell transplantation (HSCT) have improved in the last two decades, the short-term mortality still remains above 50% among allogeneic HSCT patients. Better selection of HSCT patients for intensive care, and consequently reduction of non-beneficial care, may reduce financial costs and alleviate patient suffering. We reviewed the studies on intensive care outcomes of patients undergoing HSCT published since 2000. The risk factors for intensive care unit (ICU) admission identified in this report were primarily patient and transplant related: HSCT type (autologous vs allogeneic), conditioning intensity, HLA mismatch, and graft-versus-host disease (GVHD). At the same time, most of the factors associated with ICU outcomes reported were related to the patients’ functional status upon development of critical illness and interventions in ICU. Among the many possible interventions, the initiation of mechanical ventilation was the most consistently reported factor affecting ICU survival. As a consequence, our current ability to assess the benefit or futility of intensive care is limited. Until better ICU or hospital mortality prediction models are available, based on the available evidence, we recommend practitioners to base their ICU admission decisions on: Patient pre-transplant comorbidities, underlying disease status, GVHD diagnosis/grade, and patients’ functional status at the time of critical illness.

Outcomes for patients with lung cancer admitted to intensive care units

Objective

This study aimed to evaluate the outcomes for patients with lung cancer admitted to intensive care units and assess their clinical and demographic profiles.

Methods

Retrospective, analytical, observational study, wherein the outcomes for patients diagnosed with lung cancer admitted to the intensive care unit of university hospital from January 2010 until February 2011 were evaluated.

Results

Thirty-four patients' medical records were included. Twenty-six (76.5%) patients received some type of ventilatory support, of whom 21 (61.8%) used invasive mechanical ventilation and 11 (32.4%) used noninvasive ventilation at some point during their stay at the intensive care unit. Regarding mortality, 12 (35.3%) patients died during hospitalization at the intensive care unit, totaling 15 (44.1%) deaths during the entire hospitalization period; 19 (55.9%) patients were discharged from the hospital. The analysis of the variables showed that the patients who died had remained on invasive mechanical ventilation for a longer period 5.0 (0.25 to 15.0) days than the survivors (1.0 (0 to 1.0) days) (p=0.033) and underwent dialysis during their stay at the intensive care unit (p=0.014).

Conclusions

The mortality of patients with lung cancer admitted to the intensive care unit is associated with the time spent on invasive mechanical ventilation and the need for dialysis.

[The patient with lung cancer in intensive care]

In Western countries, lung cancer (LC) is the most common cause of cancer death. It is present in 15-20% of patients admitted to the ICU with a neoplastic condition. The purpose of this article is to review the causes of admission to ICU of patients with LC, their prognosis and the results of different life-support techniques. Most studies include mixed populations of non-small cell (NSCLC) and small-cell lung cancers (SCLC). However, there is preponderance of NSCLC (70%) and LC of advanced or metastatic stages, reflecting the distribution in the general population of LC. The cause of admission of LC patients to ICU is most often of respiratory origin. The ICU mortality rate currently ranges from 13 to 47% and the hospital mortality rate from 24 to 65%. The predictors of in-hospital mortality are mainly severity scores, organ dysfunction, general condition (performance status), respiratory distress and the need for mechanical ventilation or vasopressor drugs. When considering the long-term mortality, it is the features of the cancer (presence of metastases, cancer progression) that are important predictive factors.

Severe haemoptysis in patients with nonsmall cell lung carcinoma

Severe haemoptysis due to nonsmall cell lung cancer (NSCLC) is considered a grim condition, and there is still scarce data on its characteristics and outcome, despite new imaging and treatment modalities. This retrospective study sought to describe the clinical characteristics, pathophysiology and outcome of NSCLC-related haemoptysis. We included 125 consecutive patients with severe haemoptysis (>100 mL) at admission, 65 (52%) exhibiting squamous cell carcinoma. Tumour cavitation/necrosis was reported in 26 (21%) patients. 52 patients had received anticancer treatment, but none had received anti-angiogenic agents. Severe haemoptysis was related mainly to the bronchial artery (82%), and major pulmonary artery involvement was rare (6.4%). Interventional radiology was performed in 102 patients. Bleeding cessation was achieved in 108 (87%) out of 125 patients. The overall in-hospital and 1-year survival rates were 69% and 30%, respectively. Performance status (PS) ≥ 2 (OR 3.6, 95% CI 1.3-9.6), advanced stage (OR 8.6, 95% CI 2-37) and mechanical ventilation (OR 13, 95% CI 4.5-36) were independent predictors of in-hospital mortality. Performance status ≥ 2 (hazard ratio (HR) 2.4, 95% CI 1.5-3.7), advanced stage (HR 4, 95% CI 2.1-7.7), cancer progression (HR 2, 95% CI 1.01-2.7) and cavitation/necrosis (HR 1.7, 95% CI 1.21-3.2) were independently associated with 1-year mortality. Management of severe haemoptysis related to NSCLC should be improved, given our observed survival rates after hospital discharge.

Selection criteria for intensive care unit referral of lung cancer patients: a pilot study

The decision-making process for the intensity of care delivered to patients with lung cancer and organ failure is poorly understood, and does not always involve intensivists. Our objective was to describe the potential suitability for intensive care unit (ICU) referral of lung cancer in-patients with organ failures.

We prospectively included consecutive lung cancer patients with failure of at least one organ admitted to the teaching hospital in Grenoble, France, between December 2010 and October 2012.

Of 140 patients, 121 (86%) were evaluated by an oncologist and 49 (35%) were referred for ICU admission, with subsequent admission for 36 (73%) out of those 49. Factors independently associated with ICU referral were performance status ⩽2 (OR 10.07, 95% CI 3.85–26.32), nonprogressive malignancy (OR 7.00, 95% CI 2.24–21.80), and no explicit refusal of ICU admission by the patient and/or family (OR 7.95, 95% CI 2.39–26.37). Factors independently associated with ICU admission were the initial ward being other than the lung cancer unit (OR 6.02, 95% CI 1.11–32.80) and an available medical ICU bed (OR 8.19, 95% CI 1.48–45.35).

Only one-third of lung cancer patients with organ failures were referred for ICU admission. The decision not to consider ICU admission was often taken by a non-intensivist, with advice from an oncologist rather than an intensivist.

Analysis of advanced lung cancer patients diagnosed following emergency admission

Data on prognosis and predictors of overall survival in advanced lung cancer patients diagnosed following emergency admission (DFEA) are currently lacking. We retrospectively analysed data from 771 patients with advanced nonsmall cell lung cancer between April 2004 and April 2012. Of the 771 patients, 103 (13%) were DFEA. DFEA was not an independent predictor of overall survival by multivariate Cox proportional hazard models, whereas good performance status (PS), epidermal growth factor receptor gene mutation, stage IIIB, adenocarcinoma and chemotherapy were independent predictors of overall survival (hazard ratio (95% CI) 0.36 (0.29-0.44), p<0.001; 0.49 (0.38-0.63), p<0.001; 0.64 (0.51-0.80), p<0.001; 0.81 (0.67-0.99), p=0.044; and 0.40 (0.31-0.52), p<0.001, respectively). Good PS just prior to opting for chemotherapy, but not at emergency admission, was a good independent predictor of overall survival in DFEA patients (hazard ratio (95% CI) 0.26 (0.12-0.55); p<0.001). DFEA is relatively common. DFEA and PS at emergency admission were not independent predictors of overall survival, but good PS just prior to opting for chemotherapy was an independent predictor of longer overall survival. Efforts to improve patient PS after admission should be considered vital in such circumstances.

Survival in solid cancer patients following intensive care unit admission

PURPOSE

One in seven patients admitted to intensive care units (ICU) has a cancer diagnosis but evidence on their expected outcomes after admission has not been synthesised.

METHODS

Systematic literature review of solid cancer adult patients admitted to ICU from 2000 onwards using EMBASE and MEDLINE electronic databases.

RESULTS

There were 48 papers identified that reported survival in ICU patients with solid cancers. ICU mortality was reported in 35 studies comprising a total sample of 25,339 patients and ranging from 4.5 to 85 %. The average mortality of the distribution of reported mortality rates within ICU was 31.2 % (95 % CI 24.0-39.0 %). Hospital mortality was reported in 31 studies across a total sample of 74,061 patients. The average hospital mortality was 38.2 % (33.8-42.7 %) and ranged from 4.6 to 76.8 %. Poorer physiological score, invasive mechanical ventilation and poor functional status were associated with higher mortality.

CONCLUSIONS

Several factors have been associated with poor survival in ICU cancer patients; however, primary research is still needed to describe outcomes in cancer patients with sufficient case mix and treatment details to be of prognostic value to clinicians.

Intensive care in patients with lung cancer: a multinational study

BACKGROUND

Detailed information about lung cancer patients requiring admission to intensive care units (ICUs) is mostly restricted to single-center studies. Our aim was to evaluate the clinical characteristics and outcomes of lung cancer patients admitted to ICUs.

PATIENTS AND METHODS

Prospective multicenter study in 449 patients with lung cancer (small cell, n = 55; non-small cell, n = 394) admitted to 22 ICUs in six countries in Europe and South America during 2011. Multivariate Cox proportional hazards frailty models were built to identify characteristics associated with 30-day and 6-month mortality.

RESULTS

Most of the patients (71%) had newly diagnosed cancer. Cancer-related complications occurred in 56% of patients; the most common was tumoral airway involvement (26%). Ventilatory support was required in 53% of patients. Overall hospital, 30-day, and 6-month mortality rates were 39%, 41%, and 55%, respectively. After adjustment for type of admission and early treatment-limitation decisions, determinants of mortality were organ dysfunction severity, poor performance status (PS), recurrent/progressive cancer, and cancer-related complications. Mortality rates were far lower in the patient subset with nonrecurrent/progressive cancer and a good PS, even those with sepsis, multiple organ dysfunctions, and need for ventilatory support. Mortality was also lower in high-volume centers. Poor PS predicted failure to receive the initially planned cancer treatment after hospital discharge.

CONCLUSIONS

ICU admission was associated with meaningful survival in lung cancer patients with good PS and non-recurrent/progressive disease. Conversely, mortality rates were very high in patients not fit for anticancer treatment and poor PS. In this subgroup, palliative care may be the best option.

The impact of rescue or maintenance therapy with EGFR TKIs for Stage IIIb-IV non-squamous non-small-cell lung cancer patients requiring mechanical ventilation

Background

The toxicity of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) is less than that of cytotoxic agents. The reports of dramatic response and improvement in performance status with the use of EGFR TKIs may influence a physician’s decision-making for patients with non-squamous non-small cell lung cancer (NSCLC) and life-threatening respiratory distress. The aim of this study was to evaluate the outcome of rescue or maintenance therapy with EGFR TKI for stage IIIb-IV non-squamous NSCLC patients requiring mechanical ventilation.

Methods

Eighty-three Asian patients with stage IIIb-IV non-squamous NSCLC and who required mechanical ventilation between June 2005 and January 2010 were evaluated.

Results

Of the 83 patients, 16 (19%) were successfully weaned from the ventilator. The use of EGFR TKI as rescue or maintenance therapy during respiratory failure did not improve the rate of successful weaning (standard care 18% vs. with EGFR TKI, 22%; p = 0.81) in univariate and multivariate analyses.

Conclusions

Rescue or maintenance therapy with EGFR TKI for stage IIIb-IV non-squamous NSCLC patients requiring mechanical ventilation was not associated with better outcome. An end-of-life discussion should be an important aspect in the care of this group of patients, since only 19% were successfully weaned from mechanical ventilation.

Intensive care unit and lung cancer: when should we intubate?

Lung cancer still remains the leading cause of cancer death among males. Several new methodologies are being used in the everyday practise for diagnosis and staging. Novel targeted therapies are being used and others are being investigated. However; early diagnosis still remains the cornerstone for efficient treatment and disease management. Lung cancer patients requires in many situations intensive care unit (ICU) admission, either due to the necessity for supportive care until efficient disease symptom control (respiratory distress due to malignant pleural effusion) or disease adverse effect management (massive pulmonary embolism). In any case guidelines indicating the patient that has to be intubated have not yet been issued. In the current review we will present current data and finally present an algorithm based on the current published information for lung cancer patients that will probably benefit from admission to the ICU.

Outcomes and prognostic factors of patients with lung cancer and pneumonia-induced respiratory failure in a medical intensive care unit: a single-center study

PURPOSE

To evaluate the outcomes and prognostic factors of 28-day mortality following medical intensive care unit (MICU) admission of patients with lung cancer and pneumonia-induced respiratory failure.

MATERIALS AND METHODS

Patients admitted to the MICU of a tertiary referral hospital between 2000 and 2009 were retrospectively studied.

RESULTS

In total, 143 patients were included. Their mean age was 65±8 years and 94% were male. The 28-day mortality rate was 57%. Multivariate analysis was performed to identify variables associated with 28-day mortality. At 72 hours after admission, a history of radiotherapy (OR=2.80, 95% CI: 1.15-6.78), PaO2/FiO2 (P/F) ratio at admission of <100 mmHg (OR=5.62, 95% CI: 2.10-15.07), P/F ratio after 72 hours of <100 mmHg (OR=4.61, 95% CI: 1.24-17.15), and arterial pH after 72 hours of <7.30 (OR=5.78, 95% CI: 1.15-28.89) were associated with increased mortality.

CONCLUSIONS

The prognosis of patients with lung cancer and severe pneumonia after 72 hours of MICU management mainly depends on the severity of the underlying lung injury, which is reflected by a history of radiotherapy and a low P/F ratio, rather than on cancer stage or disease status.

Major discrepancies between clinical and postmortem diagnoses in critically ill cancer patients: Is autopsy still useful?

OBJECTIVE

Describe the major discrepancies between the clinical and postmortem findings in critically ill cancer patients admitted to the medical intensive care unit (MICU).

MATERIALS AND METHODS

Retrospectively review of the medical records of all cancer patients who were admitted to the MICU and underwent postmortem examination over 6 year period. The records were reviewed for demographics, Acute Physiology and Chronic Health Evaluation (APACHE) II score, clinical cause of death, and postmortem findings.

RESULTS

There were 70 patients who had complete medical records. Mean age was 54.7 years (standard deviation (SD) ±14.8 years). Twenty-six patients had hematopoeitic stem cell transplantation (group I), 21 patients had hematological malignancies (group II), and 23 patients had solid malignancies (group III). The APACHE II score on admission to the MICU was 24.2 ± 8.0. Sixty-seven patients were mechanically ventilated, and the MICU stay was (mean ± SD) 9.0 ± 11.6 days. Major discrepancies between the clinical and postmortem diagnoses (Goldman classes I and II) were detected in 15 patients (21%). The most common missed diagnoses were aspergillosis, pulmonary embolism, and cancer recurrence. There were no differences between groups regarding the rate of major discrepancies.

CONCLUSION

Despite the advances in the diagnosis and treatment of critically ill cancer patients, autopsies continue to show major discrepancies between the clinical and postmortem diagnoses. Autopsy is still useful in this patient population.