Racial/ethnic and socioeconomic variations in hospital length of stay: A state-based analysis

Outcomes After Interhospital Critical Care Transfer

OBJECTIVE

Patients who undergo interhospital transfer, particularly for intensive care unit (ICU) care, experience greater length of stay and mortality. There is evidence that patients transferred for surgical ICU care experience higher mortality rates; however, differences in length of stay or mortality across other ICU types remain unclear. The goals of this work were to assess how length of stay and mortality differ by ICU subspecialties.

METHODS

We conducted a retrospective analysis of an existing critical care transfer data repository. We used multiple and logistic regression to identify significant factors that contribute to differences in length of stay and mortality for surgical ICU patients.

RESULTS

There were no differences in length of stay or mortality based on ICU subspecialty. For every 1-year increase in age, mortality odds increased by 8.6% (P = .002). Patients transferred from an ICU had a longer length of stay by 6.3 days (P < .001). Non-Caucasian patients had a shorter length of stay by 3.4 days (P = .012).

CONCLUSION

Length of stay and mortality are not influenced by ICU subspecialty. Further research is needed to determine the mechanism by which sending unit type and race influence length of stay and identify other factors that predict mortality for SICU patients.

Increased Vitamin C Intake Is Associated With Decreased Pancreatic Cancer Risk

Background

Patients with pancreatic cancer have an unfavorable 5-year survival rate of approximately 3% due to diagnosis occurring at advanced stages. Prior research has proposed vitamin C may have a therapeutic and preventative role in pancreatic cancer.

Methods

A Health Insurance Portability and Accountability Act (HIPAA) compliant national database was utilized to assess pancreatic cancer risk in patients with or without a history of vitamin C intake. The International Classification of Diseases (ICD) codes were used, specifically the International Classification of Diseases, 10th Edition (ICD-10) and International Classification of Diseases, Nineth Edition (ICD-9), between January 2010 and December 2020. Patients were matched, and statistical analyses were implemented. Chi-squared, logistic regression, and odds ratio were used to test for significance and to estimate relative risk.

Results

A total of 83,941 patients were identified as utilizing prescribed vitamin C. Subsequent matching by Charlson Comorbidity Index (CCI) score and age resulted in two groups of 50,384 patients. The incidence of pancreatic cancer was 243 (0.48%) in the group with a history of vitamin C intake compared to 442 (0.88%) in the control group. The difference was statistically significant by P < 3.174 × 10-14 with an odds ratio of 0.548 (95% confidence interval (CI): 0.468 - 0.641). Overall, patients without vitamin C prescription had an increased prevalence of pancreatic cancer throughout all ages and regions of the United States when compared to those with a vitamin C prescription. In addition, healthcare costs were higher in total for the control group when compared to the experimental group.

Conclusions

This retrospective cohort study found a statistically significant correlation between vitamin C and subsequent incidence of pancreatic cancer. Further studies are recommended to explore vitamin C's redox and cofactor activity in the context of preventing and possibly treating pancreatic cancer, as well as consider pancreatic cancer lifestyle risk factors such as smoking.

Predictors of Nonhome Discharge After Cervical Disc Replacement

STUDY DESIGN

Retrospective review of a national database.

OBJECTIVE

The aim of this study was to identify the factors that increase the risk of nonhome discharge after CDR.

SUMMARY OF BACKGROUND DATA

As spine surgeons continue to balance increasing surgical volume, identifying variables associated with patient discharge destination can help expedite postoperative placement and reduce unnecessary length of stay. However, no prior study has identified the variables predictive of nonhome patient discharge after cervical disc replacement (CDR).

METHODS

The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for patients who underwent primary 1-level or 2-level CDR between 2011 and 2020. Multivariable Poisson regression with robust error variance was employed to identify the predictors for nonhome discharge destination following surgery.

RESULTS

A total of 7276 patients were included in this study, of which 94 (1.3%) patients were discharged to a nonhome destination. Multivariable regression revealed older age (OR: 1.076, P <0.001), Hispanic ethnicity (OR: 4.222, P =0.001), BMI (OR: 1.062, P =0.001), ASA class ≥3 (OR: 2.562, P =0.002), length of hospital stay (OR: 1.289, P <0.001), and prolonged operation time (OR: 1.007, P <0.001) as predictors of nonhome discharge after CDR. Outpatient surgery setting was found to be protective against nonhome discharge after CDR (OR: 0.243, P <0.001).

CONCLUSIONS

Age, Hispanic ethnicity, BMI, ASA class, prolonged hospital stay, and prolonged operation time are independent predictors of nonhome discharge after CDR. Outpatient surgery setting is protective against nonhome discharge. These findings can be utilized to preoperatively risk stratify expected discharge destination, anticipate patient discharge needs postoperatively, and expedite discharge in these patients to reduce health care costs associated with prolonged length of hospital stay.

LEVEL OF EVIDENCE

IV.

Temporal Trends, Outcomes, and Predictors of Next-Day Discharge and Readmission Following Uncomplicated Evolut Transcatheter Aortic Valve Replacement: A Propensity Score-Matched Analysis

BACKGROUND

Next-day discharge (NDD) outcomes following uncomplicated self-expanding transcatheter aortic valve replacement have not been studied. Here, we compare readmission rates and clinical outcomes in NDD versus non-NDD transcatheter aortic valve replacement with Evolut.

METHODS AND RESULTS

Society of Thoracic Surgeons/American College of Cardiology TVT (Transcatheter Valve Therapy) Registry patients (n=29 597) undergoing elective transcatheter aortic valve replacement with self-expanding supra-annular valves (Evolut R, PRO, and PRO+) from July 2019 to June 2021 were stratified by postprocedure length of stay: ≤1 day (NDD) versus >1 day (non-NDD). Propensity score matching was used to compare risk adjusted 30-day readmission rates and 1-year outcomes in NDD versus non-NDD, and multivariable regression to determine predictors of NDD and readmission. Between the first and last calendar quarter, the rate of NDD increased from 45.4% to 62.1% and median length of stay decreased from 2 days to 1. Propensity score matching produced relatively well-matched NDD and non-NDD cohorts (n=10 549 each). After matching, NDD was associated with lower 30-day readmission rates (6.3% versus 8.4%; P<0.001) and 1-year adverse outcomes (death, 7.0% versus 9.3%; life threatening/major bleeding, 1.6% versus 3.4%; new permanent pacemaker implantation/implantable cardioverter-defibrillator, 3.6 versus 11.0%; [all P<0.001]). Predictors of NDD included non-Hispanic ethnicity, preexisting permanent pacemaker implantation/implantable cardioverter-defibrillator, and previous surgical aortic valve replacement.

CONCLUSIONS

Most patients undergoing uncomplicated self-expanding Evolut transcatheter aortic valve replacement are discharged the next day. This study found that NDD can be predicted from baseline patient characteristics and was associated with favorable 30-day and 1-year outcomes, including low rates of permanent pacemaker implantation and readmission.

Racial variations in complications and costs following total knee arthroplasty: a retrospective matched cohort study

INTRODUCTION

In this study, we evaluate how race corresponds to specific complications and costs following total knee arthroplasty (TKA). Our hypothesis was that minority patients, comprising Black, Asian, and Hispanic patients, would have higher complication and revision rates and costs than White patients.

METHODS

Data from 2014 to 2016 were collected from a large commercial insurance database. TKA patients were assigned under Current Procedural Terminology (CPT-27447) and International Statistical Classification of Diseases (ICD-9-P-8154) codes. Minority patients were compared to White patients before and after matching for age, gender, and tobacco use, diabetes, and obesity comorbidities. Standardized complications, revisions, and total costs at 30 days, 90 days, and 1 year were compared between the groups using unequal variance t tests.

RESULTS

Overall, 140,601 White (92%), 10,247 Black (6.7%), 1072 Asian (0.67%), and 1725 Hispanic (1.1%) TKA patients were included. At baseline, minority patients had 7-10% longer lengths of stay (p = 0.0001) and Black and Hispanic patients had higher Charlson and Elixhauser comorbidity indices (p = 0.0001), while Asian patients had a lower Elixhauser comorbidity index (p < 0.0001). Black patients had significantly higher complication rates and higher rates of revision (p = 0.03). Minority patients were charged 10-32% more (p < 0.0001). Following matching, all minority patients had lengths of stay 8-10% longer (p = 0.001) and Black patients had higher Charlson and Elixhauser comorbidity indices (p < 0.0001) while Asian patients had a lower Elixhauser comorbidity index (p = 0.0008). Black patients had more equal complication rates and there was no significant difference in revisions in any minority cohort. All minority cohorts had significantly higher total costs at all time points, ranging from 9 to 31% (p < 0.0001).

CONCLUSION

Compared to White patients, Black patients had significantly increased rates of complications, along with greater total costs, but not revisions. Asian and Hispanic patients, however, did not have significant differences in complications or revisions yet still had higher costs. As a result, this study corroborates our hypothesis that Black patients have higher rates of complications and costs than White patients following total knee arthroplasty and recommends efforts be taken to tackle health inequities to create more fairness in healthcare. This same hypothesis, however, was not supported when evaluating Asian and Hispanic patients, probably because of the few patients included in the database and deserves further investigation.

Association of hospital spending with care patterns and mortality in patients hospitalized with community-acquired pneumonia

BACKGROUND

Pneumonia is a leading cause of mortality and intensive therapy is costly. However, it is unclear whether more spending is associated with better patient outcomes or how hospitals could decrease costs.

OBJECTIVES

This study investigates the association between hospital spending and 14-day inpatient mortality among community-acquired pneumonia inpatients.

METHODS

This retrospective cohort study focused on adult pneumonia patients discharged between July 2010 and June 2015 from 260 US hospitals in the Premier database. Hospitals were divided into four pneumonia cost-of-care quartiles and average cost was calculated for each hospital. Odds of 14-day inpatient mortality and care practices were compared among high and low-cost hospitals.

RESULTS

The study population comprised 534,038 patients with a mean age 69.5 (SD 16.3); 51.9% were female, 75% White, and 71.9% covered by Medicare. Hospitals were largely medium-sized (40.4%), located in the South (49.2%), and in urban areas (82.3%). The fully adjusted population-averaged cost was 14,486 US dollars (95% confidence interval [CI] 13,982-14,867). Hospital practices associated with cost included intensity of diagnostic work-up +$14 (95% CI +12 to +18; p < .0001) and de-escalation of antibiotic therapy, +$6836 (95% CI +2291 to +11,160; p = .004). There was no significant difference in odds of 14-day inpatient mortality between hospitals in the highest and lowest cost quartiles.

CONCLUSIONS

Greater spending at the hospital level was not associated with lower mortality. Lower diagnostic costs were associated with lower cost of care, suggesting that judicious use of diagnostic testing might reduce costs without worsening patient outcomes.

Hospital characteristics and perioperative complications of Hispanic patients following reverse shoulder arthroplasty-a large database study

BACKGROUND

Hispanic patients are the youngest and fastest-growing ethnic group in the USA. Many of these patients are increasingly met with orthopedic issues, often electing to undergo corrective procedures such as reverse shoulder arthroplasty (RSA). This patient population has unique medical needs and has been reported to have higher incidences of perioperative complications following major procedures. Unfortunately, there is a lack of information on the hospitalization data and perioperative complications in Hispanic patients following procedures such as RSA. This project aimed to query the Nationwide Inpatient Sample (NIS) database to assess patient hospitalization information, demographics, and the prevalence of perioperative complications among Hispanic patients who received RSA.

METHODS

Information from 2016-2019 was queried from the NIS database. Demographic information, incidences of perioperative complications, length of stay, and costs of care among Hispanic patients undergoing RSA were compared to non-Hispanic patients undergoing RSA. A subsequent propensity matching was conducted to consider preoperative comorbidities.

RESULTS

The query of NIS identified 59,916 patients who underwent RSA. Of this sample, 2,656 patients (4.4%) were identified to be Hispanic, while the remaining 57,260 patients (95.6%) were found to belong to other races (control). After propensity matching, Hispanic patients had a significantly longer LOS (median = 1.4 days) than the patients in the control group (median = 1.0, P < 0.001). The Hispanic patients (89,168.5 USD) had a significantly higher cost of care than those in the control group (67,396.1 USD, P < 0.001). In looking at postoperative complications, Hispanic patients had increased incidences of acute renal failure (Hispanics: 3.1%, control group: 1.1%, P = 0.03) and blood loss anemia (Hispanics: 12.7%, control group: 10.9%, P = 0.03).

CONCLUSIONS

Hispanic patients had significantly longer lengths of stay, higher costs of care, and higher rates of perioperative complications compared to the control group. For patients who are Hispanic and undergoing RSA, this information will aid doctors in making comprehensive decisions regarding patient care and resource allocation.

Nonhome Discharge in Patients Undergoing Pelvic Reconstructive Surgery: A National Analysis

IMPORTANCE

Discharge to home after surgery has been recognized as a determinant of long-term survival and is a common concern in the elderly population.

OBJECTIVE

The aim of the study was to determine the incidence and risk factors for nonhome discharge in patients undergoing major surgery for pelvic organ prolapse.

STUDY DESIGN

We performed a retrospective cohort study using the American College of Surgeons National Surgical Quality Improvement Program Database from 2010 to 2018. We included patients who underwent sacrocolpopexy, vaginal colpopexy, and colpocleisis. We compared perioperative characteristics in patients who were discharged home versus those who were discharged to a nonhome location. Stepwise backward multivariate logistic regression was then used to control for confounding variables and identify independent predictors of nonhome discharge.

RESULTS

A total of 38,012 patients were included in this study, 209 of whom experienced nonhome discharge (0.5%). Independent predictors of nonhome discharge included preoperative weight loss (adjusted odds ratio [aOR], 5.9; 95% confidence interval [CI], 1.3-27.5), dependent health care status (aOR, 5.0; 95% CI, 2.6-9.5), abdominal hysterectomy (aOR, 2.3; 95% CI, 1.4-3.7), American Society of Anesthesiologists class 3 or greater (aOR, 2.0; 95% CI, 1.5-2.7), age (aOR, 1.1; 95% CI, 1.05-1.09), operative time (aOR, 1.005; 95% CI, 1.003-1.006), laparoscopic hysterectomy (aOR, 0.6; 95% CI, 0.4-1.0), and laparoscopic sacrocolpopexy (aOR, 0.5; 95% CI, 0.3-0.8).

CONCLUSIONS

In patients undergoing surgery for pelvic organ prolapse, nonhome discharge is associated with various indicators of frailty, including age, health care dependence, and certain comorbidities. An open surgical approach increases the risk of nonhome discharge, while a laparoscopic approach is associated with lower risk.

The impact of race and gender on the outcomes of patients with acetaminophen-induced acute liver failure: propensity score-matched analysis of the NIS database

BACKGROUND

Acetaminophen overdose is one of the leading causes of acute liver failure in the USA. In this study, we investigated the impact of race and gender on the hospital outcomes of patients admitted with acetaminophen-induced acute liver failure.

METHODS

From the National Inpatient Sample between the years 2016 and 2019, patients with acetaminophen-induced acute liver failure were selected and stratified based on gender (Male and Female) and race (White, Black and Hispanic). The cases were propensity score-matched to controls (male and Whites) and were compared along the following endpoints: mortality, length of stay, hospitalization costs, and hepatic complications.

RESULTS

Among patients with acetaminophen-induced acute liver failure, females experienced higher rates of mortality (16.60% vs. 11.70%, P = 0.004) and clinical illness, including hypotension (11.80% vs. 7.15%, P = 0.002) and ventilator use (40.80% vs. 30.00%, P < 0.001). When stratified by race, Black patients had longer hospital stays (Black vs. White, 8.76 days vs. 7.46 days, P = 0.03). There were no significant differences in outcomes between Hispanic and White patients. No significant differences in mortality were shown between races.

CONCLUSION

We found that females had a higher rate of mortality and incidence of hepatic encephalopathy compared to males. When stratified by race, Blacks were shown to have longer hospital stay. Females and racial minorities were also affected by special healthcare needs after discharge compared to their male and White cohorts, respectively.

Racial disparities in surgical treatment of type A acute aortic dissection

Objective

To determine whether there are racial disparities associated with mortality, cost, and length of hospital stay after surgical repair of type A acute aortic dissection (TAAAD).

Methods

Patient data from 2015 to 2018 were collected using the National Inpatient Sample. In-hospital mortality was the primary outcome. Multivariable logistical modeling was used to identify factors independently associated with mortality.

Results

Among 3952 admissions, 2520 (63%) were White, 848 (21%) were Black/African American, 310 (8%) were Hispanic, 146 (4%) were Asian and Pacific Islander (API), and 128 (3%) were classified as Other. Black/African American and Hispanic admissions presented with TAAAD at a median age of 54 years and 55 years, respectively, whereas White and API admissions presented at a median age of 64 years and 63 years, respectively (P < .0001). Additionally, there were higher percentages of Black/African American (54%; n = 450) and Hispanic (32%; n = 94) admissions living in ZIP codes with the lowest median household income quartile. Despite these differences on presentation, when adjusting for age and comorbidity, there was no independent association between race and in-hospital mortality and no significant interactions between race and income on in-hospital mortality.

Conclusions

Black and Hispanic admissions present with TAAAD a decade earlier than White and API admissions. Additionally, Black and Hispanic TAAAD admissions are more likely to come from lower-income households. After adjusting for relevant cofactors, there was no independent association between race and in-hospital mortality after surgical treatment of TAAAD.

Complications and Costs Associated With Ethnicity Following Total Hip Arthroplasty: A Retrospective Matched Cohort Study

BACKGROUND

Minority patients often have greater numbers of complications, revisions, and costs after total hip arthroplasty (THA). This study investigates how race correlates with specific surgical complications, revisions, and total costs following THA both before and after propensity matching.

METHODS

Data from 2014-2016 were collected from a large commercial insurance database known as PearlDiver. THA patients were assigned under Current Procedural Terminology (CPT-27130) and International Statistical Classification of Diseases (ICD-9-P-8151) codes and then divided into groups based on racial status in the database. Patients of different ethnicities including White, Black, Asian, and Hispanic patients were compared in regard to age, gender, comorbidities, lengths of stay, and surgical complications and costs at thirty days, ninety days, and one year using unequal variance t-tests. Black, Asian, and Hispanic patients are collectively referred to as minority patients. Patient comparisons were done both before and after matching for age, gender, tobacco use, diabetes, and obesity comorbidities.

RESULTS

A total of 73,688 White (93%), 4,822 Black (6%), 268 Asian (0.3%), and 420 Hispanic (0.5%) THA patients were included. Significantly more minority patients underwent THA under the age of 65 and had higher comorbidity indices and lengths of stay. Black patients had significantly higher complication rates, but there was no significant difference in rates of revision in any minority group. Minority patients were charged 9%-83% more. After matching, Black and Hispanic patients maintained higher comorbidity indices and lengths of stay. Black patients had a spectrum of complication rates but significantly decreased revision rates. Furthermore, after matching, minority patients were charged 5%-65% more.

CONCLUSIONS

Black patients experienced significantly greater rates of complications and higher total costs; whereas, Asian and Hispanic patients did not have significant differences in complications but did have higher costs. Therefore, this study aligns with previous studies and supports our hypothesis that Black ethnicity patients have worse outcomes than White ethnicity patients after THA, advocating for reducing health disparities and establishing more equitable healthcare, but does not support our hypothesis for Asian and Hispanic patients, likely due to a small study population size, warranting further research into the topic.

Racial Disparities in Length of Stay Among Severely Ill Patients Presenting With Sepsis and Acute Respiratory Failure

Importance

Although racial and ethnic minority patients with sepsis and acute respiratory failure (ARF) experience worse outcomes, how patient presentation characteristics, processes of care, and hospital resource delivery are associated with outcomes is not well understood.

Objective

To measure disparities in hospital length of stay (LOS) among patients at high risk of adverse outcomes who present with sepsis and/or ARF and do not immediately require life support and to quantify associations with patient- and hospital-level factors.

Design, Setting, and Participants

This matched retrospective cohort study used electronic health record data from 27 acute care teaching and community hospitals across the Philadelphia metropolitan and northern California areas between January 1, 2013, and December 31, 2018. Matching analyses were performed between June 1 and July 31, 2022. The study included 102 362 adult patients who met clinical criteria for sepsis (n = 84 685) or ARF (n = 42 008) with a high risk of death at the time of presentation to the emergency department but without an immediate requirement for invasive life support.

Exposures

Racial or ethnic minority self-identification.

Main Outcomes and Measures

Hospital LOS, defined as the time from hospital admission to the time of discharge or inpatient death. Matches were stratified by racial and ethnic minority patient identity, comparing Asian and Pacific Islander patients, Black patients, Hispanic patients, and multiracial patients with White patients in stratified analyses.

Results

Among 102 362 patients, the median (IQR) age was 76 (65-85) years; 51.5% were male. A total of 10.2% of patients self-identified as Asian American or Pacific Islander, 13.7% as Black, 9.7% as Hispanic, 60.7% as White, and 5.7% as multiracial. After matching racial and ethnic minority patients to White patients on clinical presentation characteristics, hospital capacity strain, initial intensive care unit admission, and the occurrence of inpatient death, Black patients experienced longer LOS relative to White patients in fully adjusted matches (sepsis: 1.26 [95% CI, 0.68-1.84] days; ARF: 0.97 [95% CI, 0.05-1.89] days). Length of stay was shorter among Asian American and Pacific Islander patients with ARF (-0.61 [95% CI, -0.88 to -0.34] days) and Hispanic patients with sepsis (-0.22 [95% CI, -0.39 to -0.05] days) or ARF (-0.47 [-0.73 to -0.20] days).

Conclusions and Relevance

In this cohort study, Black patients with severe illness who presented with sepsis and/or ARF experienced longer LOS than White patients. Hispanic patients with sepsis and Asian American and Pacific Islander and Hispanic patients with ARF both experienced shorter LOS. Because matched differences were independent of commonly implicated clinical presentation-related factors associated with disparities, identification of additional mechanisms that underlie these disparities is warranted.

Predictors of inpatient admission likelihood and prolonged length of stay among cerebrovascular disease patients: A nationwide emergency department sample analysis

PURPOSE

To examine the hospital- and patient-related factors associated with increased likelihood of inpatient admission and extended hospitalization.

METHODS

We applied multivariate logistic regression to a subset of ED hospital and patient characteristics linearly extrapolated from the 2019 National Emergency Department Sample database (n=626,508). Patient characteristics with 10 or fewer ED visits after national extrapolation were not reported in the current study to maintain patient confidentiality, in accordance with the HCUP Data Use Agreement. All selected ED visits represented a primary diagnosis of CVD (ICD-10 codes 160-168). All reported hospital and patient characteristics were subject to adjustment for covariates. P-values < 0.05 were considered statistically significant.

MAIN FINDINGS

Medicare beneficiaries report higher inpatient admission rates than uninsured OR 0.81 (0.73-0.91) and privately insured OR 0.86 (0.79-0.94) individuals. Black and Native-American patients were 37% and 55% more likely to be hospitalized long (>75^th percentile) (OR 1.37 [1.25-1.50], OR 1.55 [1.14-2.10]). Northeast emergency departments reported an increased odds of admission compared to the Midwest OR (0.40-0.62), South OR 0.79 (0.63-0.98) and West OR 0.52 (0.39-0.69). Patients with multiple comorbidities (mCCI = 3+) were 226% more likely to have a longer stay OR 3.26 (3.09-3.45) than patients presenting with zero or few comorbidities. Level I, II, and III trauma centers report distinctly high odds of inpatient admission (OR 3.54 [2.84-4.42], OR 2.68 [2.14-3.35], OR 1.51 [1.25-1.84]).

PRINCIPAL CONCLUSIONS

Likelihoods of inpatient admission and long hospital stays were observably stratified through multiple, independently acting hospital and patient characteristics. Significant associations were stratified by race/ethnicity, location, and clinical presentation, among others. Attention to the factors reported here may serve well to mitigate emergency department crowding and its sobering impact on United States healthcare systems and patients.

Comparing Hospital Length of Stay Risk-Adjustment Models in US Value-Based Physician Payments

BACKGROUNG AND OBJECTIVES

Under the Affordable Care Act, the US Centers for Medicare & Medicaid Services created the Physician Value-Based Payment Modifier Program and its successor, the Merit-Based Incentive Payment System, to tie physician payments to quality and cost. The addition of hospital length of stay (LOS) to these value-based physician payment models reflects its increasing importance as a metric of health care cost and efficiency and its association with adverse health outcomes. This study compared the Centers for Medicare & Medicaid Services-endorsed LOS risk-adjustment methodology with a novel methodology that accounts for pre-hospitalization clinical, socioeconomic status (SES), and admission-related factors as influential factors of hospital LOS.

METHODS

Using the 2014 New York, Florida, and New Jersey State Inpatient Database, we compared the observed-to-expected LOS of 2373102 adult admissions for 742 medical and surgical diagnosis-related groups (DRGs) by 3 models: ( a ) current risk-adjustment model (CRM), which adjusted for age, sex, number of chronic conditions, Elixhauser comorbidity score, and DRG severity weight, ( b ) CRM but modeling LOS using a generalized linear model (C-GLM), and (c) novel risk-adjustment model (NRM), which added to the C-GLM covariates for race/ethnicity, SES, discharge destination, weekend admission, and individual intercepts for DRGs instead of severity weights.

RESULTS

The NRM disadvantaged physicians for fewer medical and surgical DRGs, compared with both the C-GLM and CRM models (medical DRGs: 0.49% vs 13.17% and 10.89%, respectively; surgical DRGs: 0.30% vs 13.17% and 10.98%, respectively). In subgroup analysis, the NRM reduced the proportion of physician-penalizing DRGs across all racial/ethnic and socioeconomic groups, with the highest reduction among Whites, followed by low SES patients, and the lowest reduction among Hispanic patients.

CONCLUSIONS

After accounting for pre-hospitalization socioeconomic and clinical factors, the adjusted LOS using the NRM was lower than estimates from the current Centers for Medicare & Medicaid Services-endorsed model. The current model may disadvantage physicians serving communities with higher socioeconomic risks.

An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur

Hospital-Acquired Pressure Injury (HAPI), known as bedsore or decubitus ulcer, is one of the most common health conditions in the United States. Machine learning has been used to predict HAPI. This is insufficient information for the clinical team because knowing who would develop HAPI in the future does not help differentiate the severity of those predicted cases. This research develops an integrated system of multifaceted machine learning models to predict if and when HAPI occurs. Phase 1 integrates Genetic Algorithm with Cost-Sensitive Support Vector Machine (GA-CS-SVM) to handle the high imbalance HAPI dataset to predict if patients will develop HAPI. Phase 2 adopts Grid Search with SVM (GS-SVM) to predict when HAPI will occur for at-risk patients. This helps to prioritize who is at the highest risk and when that risk will be highest. The performance of the developed models is compared with state-of-the-art models in the literature. GA-CS-SVM achieved the best Area Under the Curve (AUC) (75.79 ± 0.58) and G-mean (75.73 ± 0.59), while GS-SVM achieved the best AUC (75.06) and G-mean (75.06). The research outcomes will help prioritize at-risk patients, allocate targeted resources and aid with better medical staff planning to provide intervention to those patients.

Postoperative Outcomes in Pediatric Septoplasty

OBJECTIVE

Identify risk factors and perioperative morbidity for pediatric patients undergoing septoplasty.

METHODS

The American College of Surgeons National Surgical Quality Improvement Program Pediatric (NSQIP-P) database was retrospectively queried to identify patients who underwent septoplasty (CPT 30520) for a diagnosis of deviated nasal septum (ICD J34.2) from 2018 to 2019. Outcomes analyzed include patient demographics, medical comorbidities, surgical setting, operative characteristics, length of stay, and postoperative outcomes.

RESULTS

A total of 729 children were identified. Median age at time of surgery was 15.8 years, with most patients (82.8%) >12 years of age; no significant association was identified between age at time of surgery and adverse surgical outcomes. Overall, postoperative complications were uncommon (0.6%), including readmission (0.4%), septic shock (0.1%), and surgical site infection (0.1%). A history of asthma was found to be a significant risk factor for postoperative complications (P = .035) as well as BMI (P = .028).

CONCLUSION

The 30-day postoperative complications following pediatric septoplasty in children reported in the NSQIP-P database are infrequent. Special considerations regarding young age, complex sinonasal anatomy, and surgical technique remain important features in considering corrective surgery for the pediatric nose and certainly warrant further investigation in subsequent studies.

History of Equity, Diversity, and Inclusion in Trauma Surgery: for Our Patients, for Our Profession, and for Ourselves

Purpose of Review

Disparities exist in outcome after injury, particularly related to race, ethnicity, socioeconomics, geography, and age. The mechanisms for this outcome disparity continue to be investigated. As trauma care providers, we are challenged to be mindful of and mitigate the impact of these disparities so that all patients realize the same opportunities for recovery. As surgeons, we also have varied professional experiences and opportunities for achievement and advancement depending upon our gender, ethnicity, race, religion, and sexual orientation. Even within a profession associated with relative affluence, socioeconomic status conveys different professional opportunities for surgeons.

Recent Findings

Fortunately, the profession of trauma surgery has undergone significant progress in raising awareness of patient and professional inequity among trauma patients and surgeons and has implemented systematic changes to diminish these inequities. Herein we will discuss the history of equity and inclusion in trauma surgery as it has affected our patients, our profession, and our individual selves.

Summary

Our goal is to provide a historical context, a status report, and a list of key initiatives or objectives on which all of us must focus. In doing so, the best possible clinical outcomes can be achieved for patients and the best professional and personal "outcomes" can be achieved for practicing and future trauma surgeons.

Social inequalities, length of hospital stay for chronic conditions and the mediating role of comorbidity and discharge destination: A multilevel analysis of hospital administrative data linked to the population census in Switzerland

Social factors are recognized determinants of morbidity and mortality and also have an impact on use of medical services. The objective of this study was to assess the associations of educational attainment, social and financial resources, and migration factors with length of hospital stays for chronic conditions. In addition, the study investigated the role of comorbidity and discharge destination in mediating these associations. The study made use of nationwide inpatient data that was linked with Swiss census data. The study sample included n = 141,307 records of n = 92,623 inpatients aged 25 to 84 years, hospitalized between 2010 and 2016 for a chronic condition. Cross-classified multilevel models and mediation analysis were performed. Patients with upper secondary and compulsory education stayed longer in hospital compared to those with tertiary education (β 0.24 days, 95% CI 0.14-0.33; β 0.37, 95% CI 0.27-0.47, respectively) when taking into account demographic factors, main diagnosis and clustering on patient and hospital level. However, these effects were almost fully mediated by burden of comorbidity. The effect of living alone on length of stay (β 0.60 days, 95% CI 0.50-0.70) was partially mediated by both burden of comorbidities (33%) and discharge destination (30.4%). (Semi-) private insurance was associated with prolonged stays, but an inverse effect was observed for colon and breast cancer. Allophone patients had also prolonged hospital stays (β 0.34, 95% CI 0.13-0.55). Hospital stays could be a window of opportunity to discern patients who need additional time and support to better cope with everyday life after discharge, reducing the risks of future hospital stays. However, inpatient care in Switzerland seems to take into account rather obvious individual needs due to lack of immediate support at home, but not necessarily more hidden needs of patients with low health literacy and less resources to assert their interests within the health system.

Clinical implications of gender and race in patients admitted with autoimmune hepatitis: updated analysis of US hospitals

Background

Autoimmune hepatitis (AIH) can result in end-stage liver disease that requires inpatient treatment of the hepatic complications. Given this phenomenon, it is important to analyse the impact of gender and race on the outcomes of patients who are admitted with AIH using a national hospital registry.

Methods

The 2012-2017 National Inpatient Sample database was used to select patients with AIH, who were stratified using gender and race (Hispanics and blacks as cases and whites as reference). Propensity score matching was employed to match the controls with cases and compare mortality, length of stay and hepatic complications.

Results

After matching, there were 4609 females and 4609 males, as well as 3688 blacks and 3173 Hispanics with equal numbers of whites, respectively. In multivariate analysis, females were less likely to develop complications, with lower rates of cirrhosis, ascites, variceal bleeding, hepatorenal syndrome, encephalopathy and acute liver failure (ALF); they also exhibited lower length of stay (adjusted OR, aOR 0.96 95% CI 0.94 to 0.97). When comparing races, blacks (compared with whites) had higher rates of ALF and hepatorenal syndrome related to ALF, but had lower rates of cirrhosis-related encephalopathy; in multivariate analysis, blacks had longer length of stay (aOR 1.071, 95% CI 1.050 to 1.092). Hispanics also exhibited higher rates of hepatic complications, including ascites, varices, variceal bleeding, spontaneous bacterial peritonitis and encephalopathy.

Conclusion

Males and minorities are at a greater risk of developing hepatic complications and having increased hospital costs when admitted with AIH.

Insulin Pump-related Inpatient Admissions in a National Sample of Youth With Type 1 Diabetes

BACKGROUND

Insulin pump use in type 1 diabetes management has significantly increased in recent years, but we have few data on its impact on inpatient admissions for acute diabetes complications.

METHODS

We used the 2006, 2009, 2012, and 2019 Kids' Inpatient Database to identify all-cause type 1 diabetes hospital admissions in those with and without documented insulin pump use and insulin pump failure. We described differences in (1) prevalence of acute diabetes complications, (2) severity of illness during hospitalization and disposition after discharge, and (3) length of stay (LOS) and inpatient costs.

RESULTS

We identified 228 474 all-cause admissions. Insulin pump use was documented in 7% of admissions, of which 20% were due to pump failure. The prevalence of diabetic ketoacidosis (DKA) was 47% in pump nonusers, 39% in pump users, and 60% in those with pump failure. Admissions for hyperglycemia without DKA, hypoglycemia, sepsis, and soft tissue infections were rare and similar across all groups. Admissions with pump failure had a higher proportion of admissions classified as major severity of illness (14.7%) but had the lowest LOS (1.60 days, 95% CI 1.55-1.65) and healthcare costs ($13 078, 95% CI $12 549-$13 608).

CONCLUSIONS

Despite the increased prevalence of insulin pump in the United States, a minority of pediatric admissions documented insulin pump use, which may represent undercoding. DKA admission rates were lower among insulin pump users compared to pump nonusers. Improved accuracy in coding practices and other approaches to identify insulin pump users in administrative data are needed, as are interventions to mitigate risk for DKA.

Sub-Analysis of CYP-GUIDES Data: Assessing the Prevalence and Impact of Drug-Gene Interactions in an Ethnically Diverse Cohort of Depressed Individuals

Introduction: Minority groups are underrepresented in pharmacogenomics (PGx) research. Recent sub-analysis of CYP-GUIDES showed reduced length of stay (LOS) in depressed patients with CYP2D6 sub-functional status. Our primary objective was to determine whether PGx guided (G) versus standard treatment (S) influenced LOS among different race/ethnic groups. Secondary objectives included prevalence of drug-gene interactions (DGIs) and readmission rates (RAR).

Methods: Retrospective sub-analysis of CYP-GUIDES data comprising CYP2D6 phenotypes was reclassified using standardized CYP2D6 genotype to phenotype recommendations from the Clinical Pharmacogenetics Implementation Consortium (CPIC) and Dutch Pharmacogenetics Working Group (DPWG). The Mann-Whitney test was used to determine differences in LOS between groups G and S and Kruskal Wallis test to compare LOS among different race/ethnic groups. Logistic regression was used to determine covariates associated with RAR.

Results: This study included 1,459 patients with 67.3% in G group (n = 982). The majority of patients were White (57.5%), followed by Latinos (25.6%) and Blacks (12.3%). Although there were no differences in LOS between G and S groups, Latinos had significant shorter LOS than Whites (p = 0.002). LOS was significantly reduced by 5.6 days in poor metabolizers in group G compared to S (p = 0.002). The proportion of supra functional and ultra-rapid metabolizers (UMs) were 6 and 20.3% using CYP-GUIDES and CPIC/DPWG definitions, respectively. Prevalence of DGIs was 40% with significantly fewer DGIs in Blacks (p < 0.001). Race/ethnicity was significantly associated with RAR (aOR 1.30; p = 0.003).

Conclusion: A greater number of patients were classified as CYP2D6 UMs using CPIC/DPWG definitions as compared to CYP-GUIDES definitions. This finding may have clinical implications for using psychotropics metabolized by CYP2D6.

Area Deprivation and Medicare Spending for Coronary Artery Bypass Grafting: Insights from Michigan

BACKGROUND

Prior work has established that high socioeconomic deprivation is associated with worse short- and long-term outcomes for coronary artery bypass graft (CABG) patients. The relationship between socioeconomic status and 90-day episode spending is poorly understood. In this observational cohort analysis, we evaluated whether socioeconomically disadvantaged patients were associated with higher expenditures during 90-day episodes of care following isolated CABG.

METHODS

We linked clinical registry data from 8,728 isolated CABG procedures from January 1st, 2012 to December 31st, 2018 to Medicare fee-for-service claims data. Our primary exposure variable was patients in the top decile of the Area Deprivation Index. Linear regression was used to compare risk-adjusted, price-standardized 90-day episode spending for deprived against non-deprived patients, as well as component spending categories: index hospitalization, professional services, post-acute care, and readmissions.

RESULTS

A total of 872 patients were categorized as being in the top decile. Mean 90-day episode spending for the 8,728 patients in the sample was $55,258 (standard deviation = $26,252). Socioeconomically deprived patients had higher overall 90-day spending compared to non-deprived patients ($61,579 vs. $54,557, difference = $3,003, p = 0.001). Spending was higher in socioeconomically deprived patients for index hospitalizations (difference = $1,284, p = 0.005), professional services (difference = $379, p = 0.002) and readmissions (difference = $1,188, p = 0.008). Inpatient rehabilitation was the only significant difference in post-acute care spending (difference = $469, p = 0.011).

CONCLUSIONS

Medicare spending was higher for socioeconomically deprived CABG in Michigan, indicating systemic disparities over and above patient demographic factors.

Association Between Patient Diversity in Hospitals and Racial/Ethnic Differences in Patient Length of Stay

BACKGROUND

Hospitals serving a disproportionate share of racial/ethnic minorities have been shown to have poorer quality outcomes. It is unknown whether efficiencies in inpatient care, measured by length of stay (LOS), differ based on the proportion patients served by a hospital who are minorities.

OBJECTIVE

To examine the association between the racial/ethnic diversity of a hospital's patients and disparities in LOS.

DESIGN

Retrospective cross-sectional study.

PARTICIPANTS

One million five hundred forty-six thousand nine hundred fifty-five admissions using the 2017 New York State Inpatient Database from the Healthcare Cost and Utilization Project.

MAIN MEASURE

Differences in mean adjusted LOS (ALOS) between White and Black, Hispanic, and Other (Asian, Pacific Islander, Native American, and Other) admissions by Racial/Ethnic Diversity Index (proportion of non-White patients admitted to total patients admitted to that same hospital) in quintiles (Q1 to Q5), stratified by discharge destination. Mean LOS was adjusted for patient demographic, clinical, and admission characteristics and for individual intercepts for each hospital.

KEY RESULTS

In both unadjusted and adjusted analysis, Black-White and Other-White mean LOS differences were smallest in the most diverse hospitals (Black-White: unadjusted, -0.07 days [-0.1 to -0.04], and adjusted, 0.16 days [95% CI: 0.16 to 0.16]; Other-White: unadjusted, -0.74 days [95% CI: -0.77 to -0.71], and adjusted, 0.01 days [95% CI: 0.01 to 0.02]). For Hispanic patients, in unadjusted analysis, the mean LOS difference was greatest in the most diverse hospitals (-0.92 days, 95% CI: -0.95 to -0.89) but after adjustment, this was no longer the case. Similar patterns across all racial/ethnic groups were observed after analyses were stratified by discharge destination.

CONCLUSION

Mean adjusted LOS differences between White and Black patients, and White and patients of Other race was smallest in most diverse hospitals, but not differences between Hispanic and White patients. These findings may reflect specific structural factors which affect racial/ethnic differences in patient LOS.

Economics of implementing an early deterioration detection solution for general care patients at a US hospital

Aim: This study estimates the costs and outcomes pre- versus post-implementation of an early deterioration detection solution (EDDS), which assists in identifying patients at risk of clinical decline. Materials & methods: A retrospective database analysis was conducted to assess average costs per discharge, length of stay (LOS), complications, in-hospital mortality and 30-day all-cause re-admissions pre- versus post-implementation of an EDDS. Results: Average costs per discharge were significantly reduced by 18% (US$16,201 vs $13,304; p = 0.007). Average LOS was also significantly reduced (6 vs 5 days; p = 0.033), driven by a reduction in general care LOS of 1 day (p = 0.042). Complications, in-hospital mortality and 30-day all-cause re-admissions were similar. Conclusion: Costs and LOS were lower after implementation of an EDDS for general care patients.

Association Between Racial Disparities in Hospital Length of Stay and the Hospital Readmission Reduction Program

Background:

On average Black patients have longer LOS than comparable White patients. Longer hospital length of stay (LOS) may be associated with higher readmission risk. However, evidence suggests that the Hospital Readmission Reduction Program (HRRP) reduced overall racial differences in 30-day adjusted readmission risk. Yet, it is unclear whether the HRRP narrowed these LOS racial differences.

Objective:

We examined the relationship between Medicare-insured Black-White differences in average, adjusted LOS (ALOS) and the HRRP’s implementation and evaluation periods.

Methods:

Using 2009-2017 data from State Inpatient Dataset from New York, New Jersey, and Florida, we employed an interrupted time series analysis with multivariate generalized regression models controlling for patient, disease, and hospital characteristics. Results are reported per 100 admissions.

Results:

We found that for those discharged home, Black-White ALOS differences significantly widened by 4.15 days per 100 admissions (95% CI: 1.19 to 7.11, P < 0.001) for targeted conditions from before to after the HRRP implementation period, but narrowed in the HRRP evaluation period by 1.84 days per 100 admissions for every year-quarter (95% CI: −2.86 to −0.82, P < 0.001); for those discharged to non-home destinations, there was no significant change between HRRP periods, but ALOS differences widened over the study period. Black-White ALOS differences for non-targeted conditions remained unchanged regardless of HRRP phase and discharge destination.

Conclusion:

Increased LOS for Black patients may have played a role in reducing Black-White disparities in 30-day readmission risks for targeted conditions among patients discharged to home.

Trends in Medical and Surgical Admission Length of Stay by Race/Ethnicity and Socioeconomic Status: A Time Series Analysis

BACKGROUND

Length of stay (LOS), a metric of hospital efficiency, differs by race/ethnicity and socioeconomic status (SES) and longer LOS is associated with adverse health outcomes. Historically, projects to improve LOS efficiency have yielded LOS reductions by 0.3 to 0.7 days per admission.

OBJECTIVE

To assess differences in average adjusted length of stay (aALOS) over time by race/ethnicity, and SES stratified by discharge destination (home or non-home).

METHOD

Data were obtained from 2009-2014 Healthcare Cost and Utilization Project State Inpatient Datasets for New York, New Jersey, and Florida. Multivariate generalized linear models were used to examine trends in aALOS differences by race/ethnicity, and by high vs low SES patients (defined first vs fourth quartile of median income by zip code) controlling for patient, disease and hospital characteristics.

RESULTS

For those discharged home, racial/ethnic and SES aALOS differences remained stable from 2009 to 2014. However, among those discharged to non-home destinations, Black vs White aALOS differences increased from 0.21 days in Q1 2009, (95% confidence interval (CI): 0.13 to 0.30) to 0.32 days in Q3 2013, (95% CI: 0.23 to 0.40), and for low vs high SES patients from 0.03 days in Q1 2009 (95% CI: -0.04 to 0.1) to 0.26 days, (95% CI: 0.19 to 0.34). Notably, for patients not discharged home, racial/ethnic and SES aALOS differences increased and persisted after Q3 2011, coinciding with the introduction of the Affordable Care Act (ACA).

CONCLUSION

Further research to understand the ACA's policy impact on hospital efficiencies, and relationship to racial/ethnic and SES differences in LOS is warranted.