Outcomes and Resource Use Associated With Acute Respiratory Failure in Safety Net Hospitals Across the United States

Utilization of minimally invasive colectomy at safety-net hospitals in the United States

BACKGROUND

Prior literature has reported inferior surgical outcomes and reduced access to minimally invasive procedures at safety-net hospitals. However, this relationship has not yet been elucidated for elective colectomy. We sought to characterize the association between safety-net hospitals and likelihood of minimally invasive resection, perioperative outcomes, and costs.

METHODS

All adult (≥18 years) hospitalization records entailing elective colectomy were identified in the 2016-2020 National Inpatient Sample. Centers in the top quartile of safety-net burden were considered safety-net hospitals (others: non-safety-net hospitals). Multivariable regression models were developed to assess the impact of safety-net hospitals status on key outcomes.

RESULTS

Of ∼532,640 patients, 95,570 (17.9%) were treated at safety-net hospitals. The safety-net hospitals cohort was younger and more often of Black race or Hispanic ethnicity. After adjustment, care at safety-net hospitals remained independently associated with reduced odds of minimally invasive surgery (adjusted odds ratio 0.92; 95% confidence interval 0.87-0.97). The interaction between safety-net hospital status and race was significant, such that Black race remained linked with lower odds of minimally invasive surgery at safety-net hospitals (reference: White race). Additionally, safety-net hospitals was associated with greater likelihood of in-hospital mortality (adjusted odds ratio 1.34, confidence interval 1.04-1.74) and any perioperative complication (adjusted odds ratio 1.15, confidence interval 1.08-1.22), as well as increased length of stay (β+0.26 days, confidence interval 0.17-0.35) and costs (β+$2,510, confidence interval 2,020-3,000).

CONCLUSION

Care at safety-net hospitals was linked with lower odds of minimally invasive colectomy, as well as greater complications and costs. Black patients treated at safety-net hospitals demonstrated reduced likelihood of minimally invasive surgery, relative to White patients. Further investigation is needed to elucidate the root causes of these disparities in care.

The relationship between red cell distribution width, serum calcium ratio, and in-hospital mortality among patients with acute respiratory failure: A retrospective cohort study of the MIMIC-IV database

To investigate the impact of RDW/CA (the ratio of red cell distribution width to calcium) on in-hospital mortality in patients with acute respiratory failure (ARF). This retrospective cohort study analyzed the data of 6981 ARF patients from the Medical Information Mart for Intensive Care (MIMIC-IV) database 2.0. Critically ill participants between 2008 and 2019 at the Beth Israel Deaconess Medical Center in Boston. The primary outcome of interest was in-hospital mortality. A Cox proportional hazards regression model was used to determine whether the RDW/CA ratio independently correlated with in-hospital mortality. The Kaplan-Meier method was used to plot the survival curves of the RDW/CA. Subgroup analyses were performed to measure the mortality across various subgroups. After adjusting for potential covariates, we found that a higher RDW/CA was associated with an increased risk of in-hospital mortality (HR = 1.17, 95% CI: 1.01-1.35, P = .0365) in ARF patients. A nonlinear relationship was observed between RDW/CA and in-hospital mortality, with an inflection point of 1.97. When RDW/CA ≥ 1.97 was positively correlated with in-hospital mortality in patients with ARF (HR = 1.554, 95% CI: 1.183-2.042, P = .0015). The Kaplan-Meier curve indicated the higher survival rates for RDW/CA < 1.97 and the lower for RDW/CA ≥ 1.97 after adjustment for age, gender, body mass index, and ethnicity. RDW/CA is an independent predictor of in-hospital mortality in patients with ARF. Furthermore, a nonlinear relationship was observed between RDW/CA and in-hospital mortality in patients with ARF.

Racial and Ethnic Disparities in Veno-Venous Extracorporeal Membrane Oxygenation Mortality for Patients With Severe COVID-19

Racial/ethnic disparities in mortality were observed during the coronavirus disease-2019 pandemic, but investigations examining the association between race/ethnicity and mortality during extracorporeal membrane oxygenation (ECMO) are limited. We performed a retrospective observational cohort study using the 2020 national inpatient sample. Multivariable logistic regression was used to estimate the odds of mortality in patients of difference race/ethnicity while controlling for confounders. There was a significant association between race/ethnicity and in-hospital mortality ( p < 0.001). Hispanic patients had significantly higher in-hospital mortality compared with White patients (odds ratio [OR] = 1.39, 95% confidence interval [CI] = 1.16-1.67, p < 0.001). Black patients and patients of other races did not have significantly higher in-hospital mortality compared with White patients (OR = 0.82, 95% CI = 0.66-1.02, p = 0.07 and OR = 1.20, 95% CI = 0.92-1.57, p = 0.18). Other variables that had a significant association with mortality included age, insurance type, Charlson comorbidity index, all patient-refined severity of illness, and receipt of care in a low-volume ECMO center (all p < 0.001). Further studies are needed to understand causes of disparities in ECMO mortality.

Disparities among patients with respiratory failure

PURPOSE OF REVIEW

Disparities are common within healthcare, and critical illness is no exception. This review summarizes recent literature on health disparities within respiratory failure, focusing on race, ethnicity, socioeconomic status, and sex.

RECENT FINDINGS

Current evidence indicates that Black patients have higher incidence of respiratory failure, while the relationships among race, ethnicity, and mortality remains unclear. There has been renewed interest in medical device bias, specifically pulse oximetry, for which data demonstrate patients with darker skin tones may be at risk for undetected hypoxemia and worse outcomes. Lower socioeconomic status is associated with higher mortality, and respiratory failure can potentiate socioeconomic inequities via illness-related financial toxicity. Literature on sex-based disparities is limited; however, evidence suggests males receive more invasive care, including mechanical ventilation.

SUMMARY

Most studies focused on disparities in incidence and mortality associated with respiratory failure, but few relied on granular clinical data of patients from diverse backgrounds. Future studies should evaluate processes of care for respiratory failure that may mechanistically contribute to disparities in order to develop interventions that improve outcomes.

Prediction of respiratory failure risk in patients with pneumonia in the ICU using ensemble learning models

The aim of this study was to develop early prediction models for respiratory failure risk in patients with severe pneumonia using four ensemble learning algorithms: LightGBM, XGBoost, CatBoost, and random forest, and to compare the predictive performance of each model. In this study, we used the eICU Collaborative Research Database (eICU-CRD) for sample extraction, built a respiratory failure risk prediction model for patients with severe pneumonia based on four ensemble learning algorithms, and developed compact models corresponding to the four complete models to improve clinical practicality. The average area under receiver operating curve (AUROC) of the models on the test sets after ten random divisions of the dataset and the average accuracy at the best threshold were used as the evaluation metrics of the model performance. Finally, feature importance and Shapley additive explanation values were introduced to improve the interpretability of the model. A total of 1676 patients with pneumonia were analyzed in this study, of whom 297 developed respiratory failure one hour after admission to the intensive care unit (ICU). Both complete and compact CatBoost models had the highest average AUROC (0.858 and 0.857, respectively). The average accuracies at the best threshold were 75.19% and 77.33%, respectively. According to the feature importance bars and summary plot of the predictor variables, activetx (indicates whether the patient received active treatment), standard deviation of prothrombin time-international normalized ratio, Glasgow Coma Scale verbal score, age, and minimum oxygen saturation and respiratory rate were important. Compared with other ensemble learning models, the complete and compact CatBoost models have significantly higher average area under the curve values on the 10 randomly divided test sets. Additionally, the standard deviation (SD) of the compact CatBoost model is relatively small (SD:0.050), indicating that the performance of the compact CatBoost model is stable among these four ensemble learning models. The machine learning predictive models built in this study will help in early prediction and intervention of respiratory failure risk in patients with pneumonia in the ICU.

Acute clinical and financial outcomes of esophagectomy at safety-net hospitals in the United States

BACKGROUND

While safety-net hospitals (SNH) play a critical role in the care of underserved communities, they have been associated with inferior postoperative outcomes. This study evaluated the association of hospital safety-net status with clinical and financial outcomes following esophagectomy.

METHODS

All adults (≥18 years) undergoing elective esophagectomy for benign and malignant gastroesophageal disease were identified in the 2010-2019 Nationwide Readmissions Database. Centers in the highest quartile for the proportion of uninsured/Medicaid patients were classified as SNH (others: non-SNH). Regression models were developed to evaluate adjusted associations between SNH status and outcomes, including in-hospital mortality, perioperative complications, and resource use. Royston-Parmar flexible parametric models were used to assess time-varying hazard of non-elective readmission over 90 days.

RESULTS

Of an estimated 51,649 esophagectomy hospitalizations, 9,024 (17.4%) were performed at SNH. While SNH patients less frequently suffered from gastroesophageal malignancies (73.2 vs 79.6%, p<0.001) compared to non-SNH, the distribution of age and comorbidities were similar. SNH was independently associated with mortality (AOR 1.24, 95% CI 1.03-1.50), intraoperative complications (AOR 1.45, 95% CI 1.20-1.74) and need for blood transfusions (AOR 1.61, 95% CI 1.35-1.93). Management at SNH was also associated with incremental increases in LOS (+1.37, 95% CI 0.64-2.10), costs (+10,400, 95% CI 6,900-14,000), and odds of 90-day non-elective readmission (AOR 1.11, 95% CI 1.00-1.23).

CONCLUSIONS

Care at safety-net hospitals was associated with higher odds of in-hospital mortality, perioperative complications, and non-elective rehospitalization following elective esophagectomy. Efforts to provide sufficient resources at SNH may serve to reduce complications and overall costs for this procedure.

Clinical and financial outcomes of pulmonary resection for lung cancer in safety-net hospitals

OBJECTIVE

Safety-net hospitals (SNHs) have previously been associated with inferior outcomes and greater resource use. However, this relationship has not been explored in the contemporary setting of pulmonary lobectomy. In the present national study we characterized the association between SNHs and mortality, complications, and resource use.

METHODS

All adults (18 years of age or older) who underwent elective lobectomy for lung cancer were identified within the 2010 to 2019 Nationwide Readmissions Database. Hospitals in the highest quartile of safety-net burden were categorized as SNHs, and others non-SNHs. Multivariable regressions were developed to assess the independent association between safety-net status and outcomes of interest.

RESULTS

Of an estimated 282,011 patients who met inclusion criteria, 41,015 (14.5%) were treated at SNHs. Patients at SNHs were younger but as commonly female, compared with non-SNHs. After multivariable adjustment, there was no association between SNHs and mortality. However, treatment at SNHs was linked to higher odds of pneumonia (adjusted odds ratio [AOR], 1.11; 95% CI, 1.02-1.21) and prolonged ventilation (AOR, 1.36; 95% CI, 1.11-1.66), as well as infectious (AOR, 1.24; 95% CI, 1.08-1.43), intraoperative (AOR, 1.22; 95% CI, 1.07-1.39), and overall complications (AOR, 1.07; 95% CI, 1.01-1.14). Patients at SNHs also showed a greater need for a blood transfusion (AOR, 1.37; 95% CI, 1.23-1.53). In addition, SNHs were associated with increased length of stay (+0.33 days; 95% CI, 0.17-0.48) and greater costs (+$4130; 95% CI, 3.34-4.92), relative to non-SNHs.

CONCLUSIONS

Hospital safety-net status was associated with greater odds of perioperative complications and greater health care expenditure. Further investigation is necessary uncover the mechanisms contributing to these complications and eradicate persistent disparities in lobectomy.

Insurance-Based Disparities in Congenital Cardiac Operations in the Era of the Affordable Care Act

A body of literature has previously highlighted the impact of health insurance on observed disparities in congenital cardiac operations. With aims of improving access to healthcare for all patients, the Affordable Care Act (ACA) expanded Medicaid coverage to nearly all eligible children in 2010. Therefore, the present population-based study aimed to examine the association of Medicaid coverage with clinical and financial outcomes in the era the ACA. Records for pediatric patients (≤ 18 years) who underwent congenital cardiac operations were abstracted from the 2010-2018 Nationwide Readmissions Database. Operations were stratified using the Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery (STAT) Category. Multivariable regression models were developed to evaluate the association of insurance status on index mortality, 30-day readmissions, care fragmentation, and cumulative costs. Of an estimated 132,745 hospitalizations for congenital cardiac surgery from 2010 to 2018, 74,925 (56.4%) were insured by Medicaid. The proportion of Medicaid patients increased from 57.6 to 60.8% during the study period. On adjusted analysis, patients with Medicaid insurance were at an increased odds of mortality (1.35, 95%CI: 1.13-1.60) and 30-day unplanned readmission (1.12, 95%CI: 1.01-1.25), experienced longer lengths of stay (+ 6.5 days, 95%CI 3.7-9.3), and exhibited higher cumulative hospitalization costs (+ $21,600, 95%CI: $11,500-31,700). The total hospitalization cost-burden for patients with Medicaid and private insurance were $12.6 billion and $8.06 billion, respectively. Medicaid patients exhibited increased mortality, readmissions, care fragmentation, and costs compared to those with private insurance. Our results of outcome variation by insurance status indicate the necessity of policy changes to attempt to approach equality in surgical out comes for this high-risk cohort. Baseline characteristics, trends, and outcomes by insurance status over the ACA rollout period 2010-2018.

Impact of Hospital Safety-Net Burden on Outcomes of In-Hospital Cardiac Arrest in the United States

High safety-net burden hospitals (HBHs) treating large numbers of uninsured or Medicaid-insured patients have generally been linked to worse clinical outcomes. However, limited data exist on the impact of the hospitals' safety-net burden on in-hospital cardiac arrest (IHCA) outcomes in the United States.

OBJECTIVES

To compare the differences in survival to discharge, routine discharge home, and healthcare resource utilization between patients at HBH with those treated at low safety-net burden hospital (LBH).

DESIGN SETTING AND PARTICIPANTS

Retrospective cohort study across hospitals in the United States: Hospitalized patients greater than or equal to 18 years that underwent cardiopulmonary resuscitation (CPR) between 2008 and 2018 identified from the Nationwide Inpatient Database. Data analysis was conducted in January 2022.

EXPOSURE

IHCA.

MAIN OUTCOMES AND MEASURES

The primary outcome is survival to hospital discharge. Other outcomes are routine discharge home among survivors, length of hospital stay, and total hospitalization cost.

RESULTS

From 2008 to 2018, an estimated 555,016 patients were hospitalized with IHCA, of which 19.2% occurred at LBH and 55.2% at HBH. Compared with LBH, patients at HBH were younger (62 ± 20 yr vs 67 ± 17 yr) and predominantly in the lowest median household income (< 25th percentile). In multivariate analysis, HBH was associated with lower chances of survival to hospital discharge (adjusted odds ratio [aOR], 0.88; 95% CI, 0.85-0.96) and lower odds of routine discharge (aOR, 0.6; 95% CI, 0.47-0.75), compared with LBH. In addition, IHCA patients at publicly owned hospitals and those with medium and large hospital bed size were less likely to survive to hospital discharge, while patients with median household income greater than 25th percentile had better odds of hospital survival.

CONCLUSIONS AND RELEVANCE

Our study suggests that patients who experience IHCA at HBH may have lower rates and odds of in-hospital survival and are less likely to be routinely discharged home after CPR. Median household income and hospital-level characteristics appear to contribute to survival.

Impact of inter-hospital transfer on outcomes of urgent cholecystectomy

BACKGROUND

This study used a national cohort to characterize the impact of inter-hospital transfer status on outcomes following nonelective cholecystectomy for cholecystitis.

METHODS

Nonelective cholecystectomies were identified using the 2016-2019 National Inpatient Sample. Multivariable models adjusting for patient and hospital characteristics were utilized to assess outcomes of interest.

RESULTS

Of an estimated 530,696 patients, 5.3% were transferred. Transferred patients were older, more often male, and more likely to report income in the 0^th-25th percentile, compared to others. After adjustment, transfer was associated with increased odds of infectious complications (AOR 1.31, 95%CI 1.06-1.60) and non-home discharge (AOR 1.59, 95%CI 1.45-1.74), but not mortality. Transfer was linked to a $600 cost decrement at the operating hospital (95%CI -$880-330).

CONCLUSIONS

Transfer status is associated with greater postoperative infection, but not mortality. Given that disparities may play a role in transfer decisions, more work must be done to identify transfer drivers and improve patient outcomes.

Utilization of mechanical prostheses and outcomes of surgical aortic valve replacement at safety net hospitals

Background

Safety-net hospitals care for a high proportion of uninsured/underinsured patients who may lack access to longitudinal care. The present study characterized the use of mechanical valves and clinical outcomes of surgical aortic valve replacement at safety net hospitals.

Methods

All adults undergoing surgical aortic valve replacement were abstracted from the 2016–2018 Nationwide Readmissions Database. Hospitals were divided into quartiles based on volume of all Medicaid and uninsured admissions, with the highest quartile defined as safety net hospitals. Multivariable regression was used to determine the association between safety net hospitals and several outcomes including mechanical valve use, perioperative complications, index hospitalization costs, 90-day readmission, and complications at readmission.

Results

Of the 94,580 patients undergoing surgical aortic valve replacement, 14.5% of operations were at safety net hospitals. Patients at safety net hospitals more commonly received mechanical valves (20.3% vs 16.9%, P < .01) compared to those at non–safety net hospitals. After adjustment, safety net hospitals remained associated with a greater odds of mechanical aortic valve use (adjusted odds ratio, 1.13, 95% confidence interval 1.05–1.21). However, operation at safety net hospitals was also associated with increased odds of perioperative complications (adjusted odds ratio 1.10, 95% confidence interval 1.03–1.17) and higher hospitalization costs (β coefficient +$6.15K, 95% confidence interval +$5.26 − +$7.03) despite similar 90-day readmissions. Upon readmission, safety net hospitals patients were more likely to experience mortality (adjusted odds ratio 1.87, 95% confidence interval 1.18–2.98) and stroke (adjusted odds ratio 2.41, 95% confidence interval 1.23–4.70) compared to those at non–safety net hospitals.

Conclusion

Hospital safety net status is associated with increased use of mechanical valves for surgical aortic valve replacement despite also being associated with increased perioperative complications, costs, and significant complications upon readmission. Ability to access adequate follow-up care may be an important consideration for surgical aortic valve replacement at safety net hospitals.

The relationship of the geriatric nutritional risk index to mortality and length of stay in elderly patients with acute respiratory failure: A retrospective cohort study

BACKGROUND

Elderly people with acute respiratory failure (ARF) have prolonged length of hospital stay (LOS) and high mortality rates. Malnutrition is negatively correlated with these LOS and mortality. However, no tools have been used to detect the risk of malnutrition and assist in designing nutritional support for these patients. The geriatric nutritional risk index (GNRI) is reported as a novel tool for evaluating the risk of malnutrition. The aim of this study is to explore the relationship of the GNRI score with mortality and LOS in elderly patients with ARF.

METHODS

Data of elderly patients diagnosed with ARF were retrieved from the Medical Information Mart for Intensive Care III (MIMIC-III) database. A total of 1250 patients were divided into two groups based on their GNRI score: the malnutrition risk group (GNRI ≤ 98) and no risk group (GNRI > 98). The primary endpoints of this study were hospital mortality and hospital LOS.

RESULTS

The higher GNRI score was associated with lower hospital mortality and shorter hospital LOS. Odds ratio (OR) for hospital mortality of patients with nutritional risk (GNRI ≤ 98) was 1.264 (95% CI:1.067-1.497) in the adjusted model. Patients with GNRI ≤98 had longer hospital LOS (adjusted OR: 1.142, 95%CI: 1.044-1.250) compared with those with GNRI > 98. Subgroup analysis showed that higher GNRI was only significantly associated with lower hospital mortality in the patients that did not undergo mechanical ventilator (MV) treatment (adjusted OR: 0.985, 95% CI: 0.977-0.992, P < 0.01). Kaplan-Meier curve analysis showed that the 90-day survival was significantly lower in the group with nutrition risk (GNRI≤98) compared with the no risk group (GNRI > 98, p < 0.05).

CONCLUSION

These findings imply that GNRI is a useful prognostic tool in elderly patients with ARF.