The Impact of Chronic Comorbidities on Outcomes in Acute Exacerbations of Idiopathic Pulmonary Fibrosis.

INTRODUCTION: Idiopathic pulmonary fibrosis is a chronic progressive lung disease of unknown cause with a high associated mortality. We aimed to compare the impact of chronic medical conditions on hospital outcomes of patients with acute exacerbations of idiopathic pulmonary fibrosis (AE-IPF). METHODS: This was a retrospective cohort study using the NIS database from 2016 to 2018. We included patients aged 60 and older hospitalized in academic medical centers with the diagnoses of IPF and acute respiratory failure. We examined factors associated with hospital mortality and length of stay (LOS) using survey-weighted multivariate logistic and negative binomial regression. RESULTS: Out of 4975 patients with AE-IPF, 665 (13.4%) did not survive hospitalization. There was no difference in the mean age between survivors and non-survivors. Patients were more likely to be male, predominantly white, and have Medicare coverage. Most non-survivors were from households with higher median income. Hospital LOS was longer among non-survivors than survivors (9.4 days vs. 9.8 days; p < 0.001). After multivariate-logistic regression, diabetes was found to be protective (aOR 0.62, 95% CI 0.50-0.77; p < 0.0001) while chronic kidney disease (CKD) conferred a significantly higher risk of death after AE-IPF (aOR 6.85, 95% CI 1.90-24.7; p = 0.00). Our multivariate adjusted negative binomial regression model for LOS identified obesity (IRR 0.85, 95% CI 0.76-0.94; p ≤ 0.00) and hypothyroidism (IRR 0.90, 95% CI 0.83-0.98; p = 0.02) to be associated with shorter hospital LOS. CONCLUSIONS: Our results suggest that CKD is a significant contributor to hospital mortality in AE-IPF, and diabetes mellitus may be protective. Obesity and hypothyroidism are linked with shorter hospital LOS among patients hospitalized with AE-IPF in US academic medical centers.

The Impact of Chronic Medical Conditions on Mortality in Acute Respiratory Distress Syndrome.

PURPOSE: To examine the impact of chronic comorbidities on mortality in Acute Respiratory Distress Syndrome (ARDS). MATERIALS AND METHODS: Retrospective cohort study of adults with ARDS (ICD-10-CM code J80) from the National Inpatient Sample between January, 2016 and December, 2018. For the primary outcome of mortality, we conducted weighted logistic regression adjusting for factors identified on univariate analysis as potentially significant or differing between the two groups at baseline. We used negative binomial regression adjusting for the same comorbidities to identify risk factors for longer length of stay (LOS) among ARDS survivors. RESULTS: After exclusions, 1046 records were analyzed (3355 ARDS survivors and 1875 non-survivors.) The comorbidities examined included hypertension, diabetes mellitus, obesity, hypothyroidism, alcohol and drug use, chronic kidney disease (CKD), cardiovascular disease, chronic liver disease, chronic pulmonary disease and malignancy. In multivariate analysis, we found that malignancy (OR 2.26, 95% CI 1.84-2.78, p < 0.001), cardiovascular disease (OR 1.54, 95% CI 1.23-1.92, p < 0.001), and CKD (OR 1.75, 95% CI 1.22-2.50, p = 0.002) increased the risk of death. In interaction analyses, cardiovascular disease combined with either malignancy or CKD conferred higher odds of death compared to either risk factor alone. CONCLUSIONS: The comorbidity of malignancy confers the most reliable risk of poor outcomes in ARDS with higher odds of hospital death and a simultaneous association with longer hospital LOS among survivors.

Weekend Admission Does Not Confer an Increased Risk of Mortality in Septic Shock.

Purpose: To investigate the impact of weekend admission on mortality for patients with septic shock. Material and Methods: Retrospective cohort study of adults in the 2017 to 2018 National Inpatient Sample coded as R65.21 (severe sepsis with septic shock) within the first 3 diagnosis codes according to the 10th revision of the International Classification of Diseases. Measurements and Main Results: After exclusions, 100,584 records were analyzed (73,966 weekday and 26,618 weekend admissions). Severity-of-illness was estimated using the Charlson-Deyo comorbidity index. Using weighted logistic regression adjusted for factors identified on univariate analysis as potentially significant, we found no higher odds of death for weekday compared to weekend admissions (OR 1.00, 95% CI 0.99-1.02, P = .84). There was a temporal improvement in septic shock outcomes with 2018 admissions having lower odds of death (OR 0.97, 95% CI 0.96-0.98, P < .001). There was no evidence for interaction between weekend admission and individual years of admission (P = .17 and P = .05 for 2017 and 2018, respectively). However, weekend mortality did seem to vary by region in our interaction analysis with higher odds of death seen in the West (OR 1.08, 95% CI 1.05-1.11, P < .001). Conclusion: We found no evidence for higher mortality among patients admitted on weekends with septic shock.

Critical Care Utilization and Outcomes of Interhospital Medical Transfers at Lower Risk of Death.

PURPOSE: To evaluate utilization and mortality outcomes of interhospital transferred critically-ill medical patients with lower predicted risk of hospital mortality. MATERIALS & METHODS: Multisite retrospective cohort analysis of patients with Acute Physiology and Chronic Health Evaluation (APACHE) IV-a predicted mortality of ≤20% from 335 ICUs in 208 hospitals in the Philips eICU database between 2014-2015. Differences in length-of-stay (LOS) and mortality between transferred and local patients were evaluated using negative binomial logistic regression and logistic regression, respectively. Stratified analyses were conducted for subgroups of predicted mortality: 0%-5%, 6%-10%, 11%-15%, and 16%-20%. RESULTS: Transfers had a higher risk of longer ICU and hospital LOS across all risk strata (IRR 1.12; 95% CI 1.09-1.16, P < 0.001 and IRR 1.11; 95% CI 1.07-1.14, P < 0.001 respectively). Mortality was higher among transfers, largely driven by the 6%-10% mortality risk strata (OR 1.30; 95% CI 1.09-1.54, P = 0.003). CONCLUSIONS: Interhospital transfer of critically-ill medical patients with lower illness severity is associated with higher ICU and hospital utilization and increased mortality. Better understanding of factors driving patient selection for and characteristics of interhospital transfer for this population will have an impact on ICU resource utilization, care efficiency, and hospital quality.

A Simple Scoring Tool to Predict Medical Intensive Care Unit Readmissions Based on Both Patient and Process Factors.

BACKGROUND: Although many predictive models have been developed to risk assess medical intensive care unit (MICU) readmissions, they tend to be cumbersome with complex calculations that are not efficient for a clinician planning a MICU discharge. OBJECTIVE: To develop a simple scoring tool that comprehensively takes into account not only patient factors but also system and process factors in a single model to predict MICU readmissions. DESIGN: Retrospective chart review. PARTICIPANTS: We included all patients admitted to the MICU of Robert Wood Johnson University Hospital, a tertiary care center, between June 2016 and May 2017 except those who were < 18 years of age, pregnant, or planned for hospice care at discharge. MAIN MEASURES: Logistic regression models and a scoring tool for MICU readmissions were developed on a training set of 409 patients, and validated in an independent set of 474 patients. KEY RESULTS: Readmission rate in the training and validation sets were 8.8% and 9.1% respectively. The scoring tool derived from the training dataset included the following variables: MICU admission diagnosis of sepsis, intubation during MICU stay, duration of mechanical ventilation, tracheostomy during MICU stay, non-emergency department admission source to MICU, weekend MICU discharge, and length of stay in the MICU. The area under the curve of the scoring tool on the validation dataset was 0.76 (95% CI, 0.68-0.84), and the model fit the data well (Hosmer-Lemeshow p = 0.644). Readmission rate was 3.95% among cases in the lowest scoring range and 50% in the highest scoring range. CONCLUSION: We developed a simple seven-variable scoring tool that can be used by clinicians at MICU discharge to efficiently assess a patient's risk of MICU readmission. Additionally, this is one of the first studies to show an association between MICU admission diagnosis of sepsis and MICU readmissions.