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

Effects of Medicaid managed care on early detection of cancer: Evidence from mandatory Medicaid managed care program in Pennsylvania

OBJECTIVE

To examine changes in late- versus early-stage diagnosis of cancer associated with the introduction of mandatory Medicaid managed care (MMC) in Pennsylvania.

DATA SOURCES AND STUDY SETTING

We analyzed data from the Pennsylvania cancer registry (2010-2018) for adult Medicaid beneficiaries aged 21-64 newly diagnosed with a solid tumor. To ascertain Medicaid and managed care status around diagnosis, we linked the cancer registry to statewide hospital-based facility records collected by an independent state agency (Pennsylvania Health Care Cost Containment Council).

STUDY DESIGN

We leveraged a natural experiment arising from county-level variation in mandatory MMC in Pennsylvania. Using a stacked difference-in-differences design, we compared changes in the probability of late-stage cancer diagnosis among those residing in counties that newly transitioned to mandatory managed care to contemporaneous changes among those in counties with mature MMC programs.

DATA COLLECTION/EXTRACTION METHODS

N/A.

PRINCIPAL FINDINGS

Mandatory MMC was associated with a reduced probability of late-stage cancer diagnosis (-3.9 percentage points; 95% CI: -7.2, -0.5; p = 0.02), particularly for screening-amenable cancers (-5.5 percentage points; 95% CI: -10.4, -0.6; p = 0.03). We found no significant changes in late-stage diagnosis among non-screening amenable cancers.

CONCLUSIONS

In Pennsylvania, the implementation of mandatory MMC for adult Medicaid beneficiaries was associated with earlier stage of diagnosis among newly diagnosed cancer patients with Medicaid, especially those diagnosed with screening-amenable cancers. Considering that over half of the sample was diagnosed with late-stage cancer even after the transition to mandatory MMC, Medicaid programs and managed care organizations should continue to carefully monitor receipt of cancer screening and design strategies to reduce barriers to guideline-concordant screening or diagnostic procedures.

Critically ill metastatic cancer patients returning home after unplanned ICU stay: an observational, multicentre retrospective study

BACKGROUND

Data about critically ill metastatic cancer patients functional outcome after unplanned admission to the ICU are scarce. The aim of this study was to assess factors associated with 90-day return home and 1-year survival in this population.

STUDY DESIGN AND METHODS

A multicenter retrospective study included all consecutive metastatic cancer patients admitted to the ICU for unplanned reason between 2017 and 2020.

RESULTS

Among 253 included metastatic cancer patients, mainly with lung cancer, 94 patients (37.2%) could return home on day 90. One-year survival rate was 28.5%. Performance status 0 or 1 (OR, 2.18; 95% CI 1.21-3.93; P = 0.010), no malnutrition (OR, 2.90; 95% CI 1.61-5.24; P < 0.001), female gender (OR, 2.39; 95% CI 1.33-4.29; P = 0.004), recent chemotherapy (OR, 2.62; 95% CI 1.40-4.90; P = 0.003), SOFA score ≤ 5 on admission (OR, 2.62; 95% CI 1.41-4.90; P = 0.002) were significantly predictive for 90-day return home. Malnutrition (HR, 1.66; 95% CI 1.18-2.22; P = 0.003), acute respiratory failure (ARF) as reason for admission (HR, 1.40; 95% CI 1.10-1.95; P = 0.043), SAPS II on admission (HR, 1.03; 95% CI 1.02-1.05; P < 0.001) and decisions to forgo life-sustaining therapies (DFLST) (HR, 2.80; 95% CI 2.04-3.84; P < 0.001) were independently associated with 1-year mortality.

CONCLUSIONS

More than one out of three metastatic cancer patients could return home within 3 months after an unplanned admission to the ICU. Previous performance and nutritional status, ongoing specific treatment and low severity of the acute illness were found to be predictive for return home. Such encouraging findings should help change the dismal perception of critically ill metastatic cancer patients.

Evaluating High-Dimensional Machine Learning Models to Predict Hospital Mortality Among Older Patients With Cancer

PURPOSE

Older hospitalized cancer patients face high risks of hospital mortality. Improved risk stratification could help identify high-risk patients who may benefit from future interventions, although we lack validated tools to predict in-hospital mortality for patients with cancer. We evaluated the ability of a high-dimensional machine learning prediction model to predict inpatient mortality and compared the performance of this model to existing prediction indices.

METHODS

We identified patients with cancer older than 75 years from the National Emergency Department Sample between 2016 and 2018. We constructed a high-dimensional predictive model called Cancer Frailty Assessment Tool (cFAST), which used an extreme gradient boosting algorithm to predict in-hospital mortality. cFAST model inputs included patient demographic, hospital variables, and diagnosis codes. Model performance was assessed with an area under the curve (AUC) from receiver operating characteristic curves, with an AUC of 1.0 indicating perfect prediction. We compared model performance to existing indices including the Modified 5-Item Frailty Index, Charlson comorbidity index, and Hospital Frailty Risk Score.

RESULTS

We identified 2,723,330 weighted emergency department visits among older patients with cancer, of whom 144,653 (5.3%) died in the hospital. Our cFAST model included 240 features and demonstrated an AUC of 0.92. Comparator models including the Modified 5-Item Frailty Index, Charlson comorbidity index, and Hospital Frailty Risk Score achieved AUCs of 0.58, 0.62, and 0.71, respectively. Predictive features of the cFAST model included acute conditions (respiratory failure and shock), chronic conditions (lipidemia and hypertension), patient demographics (age and sex), and cancer and treatment characteristics (metastasis and palliative care).

CONCLUSION

High-dimensional machine learning models enabled accurate prediction of in-hospital mortality among older patients with cancer, outperforming existing prediction indices. These models show promise in identifying patients at risk of severe adverse outcomes, although additional validation and research studying clinical implementation of these tools is needed.

Critical illness in patients with metastatic cancer: a population-based cohort study of epidemiology and outcomes

The appropriateness of intensive care unit (ICU) admission of patients with metastatic cancer remains debated. We aimed to examine the short-term outcomes and their temporal pattern in critically ill patients with metastatic disease. We used state-wide data to identify hospitalizations aged ≥18 years with metastatic cancer admitted to ICU in Texas during 2010-2014. Multivariable logistic regression modeling was used to examine the factors associated with short-term mortality and its temporal trends among all ICU admissions and those undergoing mechanical ventilation. Among 136,644 ICU admissions with metastatic cancer, 50.8% were aged ≥65 years, with one or more organ failures present in 53.3% and mechanical ventilation was used in 11.1%. The crude short-term mortality among all ICU admissions and those mechanically ventilated was 28.1% and 62.0%, respectively. Discharge to home occurred in 57.1% of all ICU admissions. On adjusted analyses, short-term mortality increased with rising number of organ failures (adjusted OR (aOR) 1.399, 95% CI 1.374 to 1.425), while being lower with chemotherapy (aOR 0.467, 95% CI 0.432 to 0.506) and radiation therapy (aOR 0.832, 95% CI 0.749 to 0.924), and decreased over time (aOR 0.934 per year, 95% CI 0.924 to 0.945). Predictors of short-term mortality were largely similar among those undergoing mechanical ventilation. Most ICU admissions with metastatic cancer survived hospitalization, although short-term mortality was very high among those undergoing mechanical ventilation. Short-term mortality decreased over time and was lower among those receiving chemotherapy and radiation therapy. These findings support consideration of critical care in patients with metastatic cancer, but underscore the need to address patient-centered goals of care ahead of ICU admission.

Disparities in Care Management During Terminal Hospitalization Among Adults With Metastatic Cancer From 2010 to 2017

IMPORTANCE

Many patients with metastatic cancer receive high-cost, low-value care near the end of life. Identifying patients with a high likelihood of receiving low-value care is an important step to improve appropriate end-of-life care.

OBJECTIVE

To analyze patterns of care and interventions during terminal hospitalizations and examine whether care management is associated with sociodemographic status among adult patients with metastatic cancer at the end of life.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective, population-based cross-sectional study used data from the Healthcare Cost and Utilization Project to analyze all-payer, encounter-level information from multiple inpatient centers in the US. All utilization and hospital charge records from national inpatient sample data sets between January 1, 2010, and December 31, 2017 (n = 58 761 097), were screened. The final cohort included 21 335 patients 18 years and older at inpatient admission who had a principal diagnosis of metastatic cancer and died during hospitalization. Data for the current study were analyzed from January 1, 2010, to December 31, 2017.

EXPOSURES

Patient demographic characteristics, patient insurance status, hospital location, and hospital teaching status.

MAIN OUTCOMES AND MEASURES

Receipt of systemic therapy (including chemotherapy and immunotherapy), receipt of invasive mechanical ventilation, emergency department (ED) admission, time from hospital admission to death, and total charges during a terminal hospitalization.

RESULTS

Among 21 335 patients with metastatic cancer who had terminal hospitalizations between 2010 and 2017, the median age was 65 years (interquartile range, 56-75 years); 54.0% of patients were female; 0.5% were American Indian, 3.3% were Asian or Pacific Islander, 14.1% were Black, 7.5% were Hispanic, 65.9% were White, and 3.1% were identified as other; 58.2% were insured by Medicare or Medicaid, and 33.2% were privately insured. Overall, 63.2% of patients were admitted from the ED, 4.6% received systemic therapy, and 19.2% received invasive mechanical ventilation during hospitalization. Racial and ethnic minority patients had a higher likelihood of being admitted from the ED (Asian or Pacific Islander patients: odds ratio [OR], 1.43 [95% CI, 1.20-1.72]; P < .001; Black patients: OR, 1.39 [95% CI, 1.27-1.52]; P < .001; and Hispanic patients: OR, 1.45 [95% CI, 1.28-1.64]; P < .001), receiving invasive mechanical ventilation (Black patients: OR, 1.59 [95% CI, 1.44-1.75]; P < .001), and incurring higher total charges (Asian or Pacific Islander patients: OR, 1.35 [95% CI, 1.13-1.60]; P = .001; Black patients: OR, 1.23 [95% CI, 1.13-1.34]; P < .001; and Hispanic patients: OR, 1.50 [95% CI, 1.34-1.69]; P < .001) compared with White patients. Privately insured patients had a lower likelihood of being admitted from the ED (OR, 0.47 [95% CI, 0.44-0.51]; P < .001), receiving invasive mechanical ventilation (OR, 0.75 [95% CI, 0.69-0.82]; P < .001), and incurring higher total charges (OR, 0.64 [95% CI, 0.59-0.68]; P < .001) compared with Medicare and Medicaid beneficiaries.

CONCLUSIONS AND RELEVANCE

In this study, patients with metastatic cancer from racial and ethnic minority groups and those with Medicare or Medicaid coverage were more likely to receive low-value, aggressive interventions at the end of life. Further studies are needed to evaluate the underlying factors associated with disparities at the end of life to implement prospective interventions.

Trends and outcomes of venous thromboembolism in adult hospitalizations with acute myeloid leukemia: analysis of nationwide inpatient sample from 2010 to 2014

Background: Venous thromboembolism (VTE) occurs frequently in acute myeloid leukemia (AML) patients. There are no population-based studies from the United States (U.S.) analyzing this association. The study aims to analyze the trends, predictors of mortality, and outcomes of VTE in AML patients.Methods: We analyzed the publicly available Nationwide Inpatient Sample (NIS) for years 2010-2014. Hospitalizations due to AML were identified by previously validated International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes as the primary diagnosis. VTE was identified by ICD-9-CM codes as secondary diagnosis. Hospitalizations with age less than 18 years of age were excluded. The trends and outcomes were determined using Chi-squared (χ2) test and multivariate regression models.Results: From 2010 to 2014, there were 313,282 hospitalizations with a primary diagnosis of AML and 1,633 hospitalizations (0.1%) had VTE as a concurrent diagnosis. There was a significant increase in the proportion of AML hospitalizations with VTE from 0.47% in 2010 to 0.56% in 2014 (P = 0.014). Multivariable regression analysis showed that the odds of in-hospital mortality were not higher in AML hospitalizations with VTE (odds ratio [OR] 1.11; 95% confidence interval [CI] 0.81-1.52; P = 0.5) than those without VTE. Age group above 84 years carried the highest risk of mortality (OR 3.20; 95% CI 2.77-3.70; P < 0.0001) in AML-VTE patients. Black (OR 1.23; 95% CI 1.13-1.35; P < 0.0001) and uninsured patients (OR 1.50; 95% CI 1.31-1.73; P < 0.0001) were at significantly higher odds of in-hospital mortality amongst the AML-VTE hospitalizations.Conclusion: The proportion of AML hospitalizations with VTE continues to rise in the U.S. After adjusting for confounders, increasing age, Black race, and lack of insurance were found to have higher risk of in-hospital mortality in the AML-VTE cohort. The odds of in-hospital mortality in AML hospitalizations with VTE are not higher than those without VTE.

Inpatient Palliative Care Use Among Critically III Brain Metastasis Patients in the United States

OBJECTIVE

The objective of this study was to understand the trends and characteristics of palliative care delivery among critically ill brain metastasis patients using a nationally representative database.

MATERIALS AND METHODS

This study was a retrospective analysis of Nationwide Inpatient Sample data collected during 2005 to 2014. This study included critically ill patients, 18 years and above, diagnosed with brain metastasis, identified using International Classification of Diseases-Ninth Revision-Clinical Modification diagnosis and procedure codes. Multivariable logistic regression models were used for predicting factors associated with inpatient palliative care use.

RESULTS

Among 18,309 critically ill patients with brain metastasis, 3298 (18.0%) received inpatient palliative care. The rate of inpatient palliative care use among these patients increased from 3.2% to 28.5%, during 2005 to 2014 (P<0.001). Regression analysis showed that hospital teaching status (odds ratio [ORs], 1.45; 95% confidence interval [CI], 1.14-1.84), primaries located in head and neck (OR, 1.42; 95% CI, 1.21-2.05) or lung (OR, 1.32; 95% CI, 1.22-1.44), and primary diagnosis of pneumonia (OR, 1.42; 95% CI, 1.22-1.97) or septicemia (OR, 1.59; 95% CI, 1.30-1.97), were associated with higher palliative care use. Hispanic ethnicity (OR, 0.86; 95% CI, 0.67-0.96), and hospital location in Northeast (OR, 0.73; 95% CI, 0.54-0.96), Midwest (OR, 0.63; 95% CI, 0.45-0.87), or South (OR, 0.64; 95% CI, 0.48-0.86) were associated with lower palliative care use.

CONCLUSIONS

Inpatient palliative care use increased significantly among critically ill patients with brain metastases, though overall rate was low. There were geographical and racial disparities among these patients. Health care providers and policy makers should focus on decreasing these disparities. In addition, hospitals should focus on adopting more palliative care services.

Impact of critical care response team implementation on oncology patient outcomes: A retrospective cohort study

Introduction:

The main goal of a critical care response team (CCRT) is to quickly assess and transfer, if required, rapidly deteriorating patients to an intensive care unit (ICU) to prevent cardiopulmonary arrest, stabilize patients' condition, and help in optimizing the care provided by the primary team. The objective of this study was to investigate the correlation between early intervention by CCRT and the outcome of oncology patients.

Materials and Methods:

This is a retrospective cohort study conducted at King Abdulaziz Medical City (KAMC), Riyadh, Saudi Arabia. KAMC is a tertiary care facility with 1200-bed capacity. The study compared oncology patients to nononcology patients.

Results:

Over 4 years, a total number of 4941 patients were reviewed, of which 172 were oncology patients. The average age of patients in the oncology group was 48.8 ± 20.7, while the average age for nononcology was 52.8 ± 21.2 (P = 0.016). The average Acute Physiology and Chronic Health Evaluation II score on admission for oncology patients was higher than that for the nononcology group (27.8 ± 8.9 vs. 23.6 ± 9.3, respectively). Lower ICU mortality was seen after CCRT implementation (38.8% vs. 62.7%). The average duration of hospital stay and ICU stay increased after CCRT implementation (37.34 vs. 29.31 and 11.93 vs. 8.9, respectively).

Conclusion:

In this study, we identified that early intervention by implementing CCRT had a significant impact in reducing ICU mortality for oncology and nononcology patients.

Temporal trends and social barriers for inpatient palliative care delivery in metastatic prostate cancer patients receiving critical care therapies

BACKGROUND

Use of inpatient palliative care (IPC) in advanced cancer patients represents a well-established guideline recommendation. A recent analysis demonstrated that genitourinary (GU) cancer patients benefited of IPC at the second lowest rate within the four examined primaries, namely lung, breast, colorectal, and GU. Based on this observation, we examined temporal trends and predictors of IPC use in metastatic prostate cancer patients receiving critical care therapies (CCT).

MATERIALS AND METHODS

We identified mPCa patients receiving CCT within the Nationwide Inpatient Sample database (2004-2015). IPC use rates were evaluated using univariable estimated annual percentage changes analyses. Multivariable logistic regression (MLR) models were used after adjustment for clustering at hospital level.

RESULTS

Of 4168 mPCa patients receiving CCT, 449 (11.3%) received IPC. IPC use increased from 1.2 to 22.3% (EAPC: +19.6%, p < 0.001). After stratification according to regions, race, and teaching status, the highest increase of IPC use was recorded in the South (from 0 to 25.4 %, EAPC: +27.6%), in Caucasians (from 1.5 to 24.4 %, EAPC: +19.8%; p < 0.001) and in teaching hospitals (from 0.9 to 26.2 %, EAPC: +19.6%; p < 0.001). In MLR models, teaching status (Odds ratio [OR]: 1.74, p < 0.001) and contemporary year interval (OR: 4.63, p < 0.001) were associated with higher IPC rates. Conversely, African American race (OR: 0.66, p < 0.001) and primary diagnosis of GU disorders (OR: 0.49, p < 0.001) and gastrointestinal (GI) disorders at admission (OR: 0.61, p = 0.02) were associated with lower IPC rates.

CONCLUSIONS

IPC use rate in mPCa patients receiving CCT sharply increased between 2004 and 2015. The highest increase of IPC use across time was recorded in the South, in Caucasian race, and in teaching hospitals. African-American race and nonteaching status were identified as independent predictors of lower IPC use and represent targets for efforts aimed at improving IPC delivery in mPCa patients receiving CCT.

Use of Inpatient Palliative Care Services in Patients With Advanced Cancer Receiving Critical Care Therapies

Background: Invasive mechanical ventilation (IMV), dialysis for acute kidney failure, and other critical care therapies (CCTs) are associated with a high risk for complications in patients with metastatic cancer. Inpatient palliative care (IPC) can assist in assessing patients' preferences for life-prolonging treatment at the end of life. This study investigated the use pattern of IPC, outcomes (in-hospital mortality, length of stay [LOS], discharge destination, and cost of care), and predictors of IPC use in patients with metastatic cancer who received CCTs. We hypothesized that IPC services are underused in this cohort. Methods: In this retrospective cohort study, we used the 2010 California State Inpatient Databases to identify adults with metastatic cancer who received CCTs that are common and reliably coded (IMV, tracheostomy, percutaneous endoscopic gastrostomy tube, dialysis for acute kidney failure, and total parenteral nutrition). We determined IPC use in all patients, in those who received IMV, and across 4 cancer subtypes (lung, breast, colorectal, and genitourinary). Outcomes were assessed based on IPC use. Multivariable analyses were used to investigate factors associated with IPC use. Results: We identified 5,862 hospitalizations, 19.8% of which used IPC services. IPC use varied across cancer subtypes (lung, 28.3%; breast, 22.4%; colorectal, 12.8%; genitourinary, 16.1%; P<.01). Patients who received and did not receive IPC services had high in-hospital mortality rates (63.9% and 29.8%, respectively), and costs of care and LOS were lower in survivors who received IPC compared with those who did not. Predictors of IPC use were lung cancer (vs colorectal or genitourinary cancer), higher comorbidity score, do-not-resuscitate status on admission or within 24 hours of admission, infections (vs cancer-related diagnoses), and higher hospital bed count. Conclusions: Use of IPC was low in the cohort who received CCTs with poor outcomes, although data on outpatient palliative care services is lacking. Predictors of IPC use may be used to identify patients who may benefit from these services.