The prognosis of patients with lung cancer 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.

Investigating Factors Influencing the National Cancer Screening Program among Older Individuals in Republic of Korea-Data from the Korea National Health and Nutrition Examination Survey VIII

This study aims to determine the influencing factors of the participation of older individuals aged 65 years and above in South Korea's National Cancer Screening Program (NCSP) using data from the eighth wave (2019-2021) of the Korea National Health and Nutrition Examination Survey (KNHANES VIII), and discuss potential problems and coping strategies. Variables were selected based on Andersen's healthcare utilization model. "Participation in the NSCP" was considered the dependent variable, with independent variables including sociodemographic characteristics (sex, marital status, residence, education level, income level, economic activity, medical coverage type, and private insurance), health conditions (subjective health status, hypertension, and diabetes), and health behaviors (physical activity, monthly alcohol consumption, and current smoking status). The analysis revealed that higher participation rates correlated with being married, having an education level beyond elementary school, being employed, subscribing to private insurance, perceiving oneself as having average or poor health, engaging in physical activity, and not smoking. Sex, residence, income, medical coverage type, hypertension, diabetes, and monthly alcohol consumption were found to be insignificantly correlated. These findings underscore the importance of tailored promotion and health education for older individuals to boost NCSP participation rates, which could ultimately elevate public health standards.

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.

DATA SOURCES

PubMed, EMBASE, and Web of Science.

STUDY SELECTION

We included observational studies evaluating adult patients with cancer treated in ICUs. We excluded non-English studies, those with greater than 30% hematopoietic stem cell transplant or postsurgical patients, and those that evaluated a specific type of critical illness, stage of malignancy, or age group.

DATA EXTRACTION

Two reviewers independently applied eligibility criteria, assessed quality, and extracted data. Studies were classified based on the continent in which they were conducted. Primary outcomes were ICU and hospital mortality. We pooled effect sizes by geographical region.

DATA SYNTHESIS

Forty-six studies were included (n = 110,366). The overall quality of studies was moderate. Most of the published literature was from Europe (n = 22), followed by North America (n = 9), Asia (n = 8), South America (n = 5), and Oceania (n = 2). Pooled ICU mortality rate was 38% (95% CI, 33-43%); the lowest mortality rate was in Oceania (26%; 95% CI, 22-30%) and highest in Asia (51%; 95% CI, 44-57%). Pooled hospital mortality rate was 45% (95% CI, 41-49%), with the lowest in North America (37%; 95% CI, 31-43%) and highest in Asia (54%; 95% CI, 37-71%).

CONCLUSIONS

More than half of cancer patients admitted to ICUs survived hospitalization. However, there was wide variability in the mortality rates, as well as the number of available studies among geographical regions. This variability suggests an opportunity to improve outcomes worldwide, through optimizing practice and research.

Outcomes of Patients with Malignancy Admitted to the Intensive Care Units: A Prospective Study

INTRODUCTION

Decisions regarding whether advanced cancer patients should be admitted to the ICU are based on a complex suite of considerations, including short- and long-term prognosis, quality of life, and therapeutic options to treat cancer. We aimed to describe demographic, clinical, and survival data and to identify factors associated with mortality in critically ill advanced cancer patients with nonelective admissions to general ICUs.

MATERIALS AND METHODS

Critically ill adult (≥18 years old) cancer patients nonelectively admitted to the intensive care units at the American University of Beirut Medical Center between August 1st 2015 and March 1st 2019 were included. Demographic, clinical, and laboratory data were prospectively collected from the first day of ICU admission up to 30 days after discharge. This study was strictly observational, and clinical decisions were left to the discretion of the ICU team and attending physician.

RESULTS

272 patients were enrolled in the study between August 1st 2015 and March 1st 2019, with an ICU mortality rate of 43.4%, with the number rising to 59% within 30 days of ICU discharge. The mean length of stay in our ICU was 14 days (IQR: 1-120) with a median overall survival of 22 days since the date of ICU admission. The major reasons for unplanned ICU admission were sepsis/septic shock (54%) and respiratory failure (33.1%). Cox regression analysis revealed 7 major predictors of poor prognosis. Direct admission from the ED was associated with a higher risk of mortality (48.9%) than being transferred from the floor (32.6%) (p=0.014).

CONCLUSION

Our study has shown that being directly admitted to the ICU from the ED rather than being transferred from regular wards, developing AKI, sepsis, MOF, and ARDS, or having an uncontrolled malignancy are all predictive factors for short-term mortality in critically ill cancer patients nonelectively admitted to the ICU. Vasopressor use and mechanical ventilation were also predictors of mortality.

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.

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.

Ethics in the Intensive Care Unit

The intensive care unit (ICU) is the most common place to die. Also, ethical conflicts among stakeholders occur frequently in the ICU. Thus, ICU clinicians should be competent in all aspects for ethical decision-making. Major sources of conflicts are behavioral issues, such as verbal abuse or poor communication between physicians and nurses, and end-of-life care issues including a lack of respect for the patient's autonomy. The ethical conflicts are significantly associated with the job strain and burn-out syndrome of healthcare workers, and consequently, may threaten the quality of care. To improve the quality of care, handling ethical conflicts properly is emerging as a vital and more comprehensive area. The ICU physicians themselves need to be more sensitive to behavioral conflicts and enable shared decision making in end-of-life care. At the same time, the institutions and administrators should develop their processes to find and resolve common ethical problems in their ICUs.