All Patient Refined-Diagnosis Related Groups' (APR-DRGs) Severity of Illness and Risk of Mortality as predictors of in-hospital mortality

Association between Insurance Status and Outcomes of Hospitalizations for Necrotizing Soft Tissue Infections

Background: Lack of insurance is associated with poorer outcomes in hospitalized patients. However, few studies have explored this association in hospitalizations for necrotizing soft tissue infections (NSTIs). This study examined the impact of insurance status on the outcome of NSTI admissions. Methods: All adult hospitalizations for necrotizing fasciitis, gas gangrene, and Fournier gangrene between 2016 and 2018 were examined using the Nationwide Inpatient Sample database. Insurance status was categorized as insured (including Medicare, Medicaid, and Private, including Health maintenance organization (HMO) or uninsured (Self-pay). Outcome measures included mortality rates, limb loss, length of hospital stay, prolonged hospital stay, and critical care admissions. Statistical analysis included weighted sample analysis, chi-square tests, multivariate regression analysis, and negative binomial regression modeling. Results: Approximately 29,705 adult hospitalizations for NSTIs were analyzed. Of these, 57.4% (17,065) were due to necrotizing fasciitis, 22% (6,545) to gas gangrene, and 20.5% (6,095) to Fournier gangrene. Approximately 9.7% (2,875) were uninsured, whereas 70% (26,780) had insurance coverage. Among the insured, Medicare covered 39.6% (10,605), Medicaid 29% (7,775), and private insurance 31.4% (8,400). After adjustments, Medicare insurance was associated with greater odds of mortality (adjusted odds ratio [aOR]: 1.81; 95% confidence interval [CI]: 1.33-2.47; p = 0.001). Medicaid insurance was associated with increased odds of amputation (aOR: 1.81; 95% CI: 1.33-2.47; p < 0.001), whereas private insurance was associated with lower odds of amputation (aOR: 0.70; 95% CI: 0.51-0.97; p = 0.030). Medicaid insurance was associated with greater odds of prolonged hospital stay (aOR: 1.34; 95% CI: 1.09-1.64; p < 0.001). No significant association was observed between the lack of insurance or self-pay and the odds of primary or secondary outcomes. Conclusion: Medicare insurance was correlated with greater odds of mortality, whereas Medicaid insurance was associated with increased odds of amputation and longer hospital stay. Uninsured status was not associated with significant differences in NSTI outcomes.

Preventive Antibiotic Use and Complications After Endoscopic Retrograde Cholangiopancreatography in Patients Hospitalized for Primary Sclerosing Cholangitis

BACKGROUND

The American Society for Gastrointestinal Endoscopy recommends prophylactic antibiotics before endoscopic retrograde cholangiopancreatography (ERCP) in primary sclerosing cholangitis (PSC). We assessed the impact of this approach on the incidence of post-ERCP outcomes using nationwide data.

METHODS

Using 2015-2021 Nationwide Inpatient Sample data and relevant ICD-10 codes, we analyzed adult hospitalizations for PSC who underwent ERCP, with and without antibiotic prophylaxis. Hierarchical multivariate logistic regression analysis was used to assess the association between prophylactic antibiotic use and post-ERCP complications including sepsis, acute cholangitis, and acute pancreatitis.

RESULTS

We analyzed 32,972 hospitalizations for PSC involving ERCP, with 12,891 admissions (39.1%) receiving antibiotics before ERCP (cases) and 20,081 (60.9%) serving as controls. Cases were older than controls (mean age: 64.2 ± 8.6 vs. 61.3 ± 6.1 years; P = 0.020). Compared with controls, hospitalizations with antibiotic prophylaxis had a higher male population (7,541 (58.5%) vs. 11,265 (56.1%); P < 0.001) and higher comorbidity burden (Charlson comorbidity index score of ≥2: 5,867 (45.5%) of cases vs. 8,996 (44.8%) of controls; P = 0.01). Incidence of post-ERCP septicemia was 19.1% (6,275) with 2,935 incidences (22.8%) among cases compared with 3,340 (16.6%) among controls. Antibiotic prophylaxis did not significantly improve the odds of septicemia (aOR: 0.85; 95% CI: 0.77 - 1.09; P = 0.179). Approximately 2,271 (6.9%) cases of acute cholangitis and 5,625 (17.1%) cases of acute post-ERCP pancreatitis were recorded. After adjustments for multiple variables, no significant difference was observed in the odds of cholangitis (aOR: 0.87; 95% CI: 0.98 - 1.45; P = 0.08). However, antibiotic prophylaxis was correlated with a statistically significant reduction in the odds ratio of acute post-ERCP pancreatitis (aOR: 0.61; 95% CI: 0.57 - 0.66; P < 0.001).

CONCLUSION

The use of antibiotic prophylaxis in hospitalizations with PSC was correlated with a significant reduction in the odds of post-ERCP pancreatitis. Antibiotic prophylaxis did not improve the odds of post-ERCP sepsis or cholangitis. Prophylactic use of antibiotics should be individualized, considering both their anti-infective benefits and potential impact on the biochemical markers of liver disease.

Assessment of the Impact of Home-Based Hospitalization on Health Outcomes: An Observational Study

INTRODUCTION

In Portugal, evidence of clinical outcomes within home-based hospitalization programs remains limited. Despite the adoption of homebased hospitalization services, it is still unclear whether these services represent an effective way to manage patients compared with inpatient hospital care. Therefore, the aim of this study was to evaluate the outcomes of home-based hospitalization compared with conventional hospitalization in a group of patients with a primary diagnosis of infectious, cardiovascular, oncological, or 'other' diseases.

METHODS

An observational retrospective study using anonymized administrative data to investigate the outcomes of home-based hospitalization (n = 209) and conventional hospitalization (n = 192) for 401 Portuguese patients admitted to CUF hospitals (Tejo, Cascais, Sintra, Descobertas, and the Unidade de Hospitalização Domiciliária CUF Lisboa). Data on demographics and clinical outcomes, including Barthel index, Braden scale, Morse scale, mortality, and length of hospital stay, were collected. The statistical analysis included comparison tests and logistic regression.

RESULTS

The study found no statistically significant differences between patients' admission and discharge for the Barthel index, Braden scale, and Morse scale scores, for both conventional and home-based hospitalizations. In addition, no statistically significant differences were found in the length of stay between conventional and home-based hospitalization, although patients diagnosed with infectious diseases had a longer stay than patients with other conditions. Although the mortality rate was higher in home-based hospitalization compared to conventional hospitalization, the mortality risk index (higher in home-based hospitalization) assessed at admission was a more important predictor of death than the type of hospitalization.

CONCLUSION

The study found that there were no significant differences in outcomes between conventional and home-based hospitalization. Home-based hospitalization was found to be a valuable aspect of patient- and family-centered care. However, it is noteworthy that patients with infectious diseases experienced longer hospital stays.

Risk factors associated with escalation of care in a quaternary academic hospital at home program

BACKGROUND

Hospital-at-home has become a more recognized way to care for patients requiring inpatient hospitalization. At times, these patients may require escalation of care (transfer from home back to the brick-and mortar (BAM) hospital for ongoing hospitalization care needs), a process that has not been extensively studied.

OBJECTIVE

To evaluate what patient factors contribute to escalations of care in the hospital-at-home delivery model.

DESIGNS, SETTINGS, AND PARTICIPANTS

We conducted a retrospective review of all patients admitted to Mayo Clinic's Advanced Care at Home (ACH) program from January 1, 2022 to December 31, 2022.

INTERVENTION

None.

MAIN OUTCOMES AND MEASURES

Patient information was collected via electronic health record including demographic, socioeconomic, and clinical status. The primary outcome was the of occurrence of an escalation.

RESULTS

A total of 904 patients were included, of whom 80 (8.8%) required an escalation of care. In multivariable analysis, risk of an escalation was significantly higher for patients who were married or had a life partner (HR: 1.82, 95% CI: 1.05-3.23, p = .033) for patients admitted with procedure-related disorders (HR: 2.61, 95% CI: 1.35-5.05, p = .005) and patients with an increased mortality risk score (HR [per each 1-category increase] = 1.86, 95% CI: 1.39-2.50, p < .001).

Assessment of risk-adjusted mortality ratio (RAMR) in bloodstream infections using all-patient refined diagnosis-related groups (APR-DRGs)

OBJECTIVES

To calculate a risk-adjusted mortality ratio (RAMR) for bloodstream infections (BSIs) using all-patient refined diagnosis-related groups (APR-DRGs) and compare it with the crude mortality rate (CMR).

METHODS

Retrospective observational study of prevalent BSI at our institution from January 2019 to December 2022. In-hospital mortality was adjusted with a binary logistic regression model adjusting for sex, age, admission type and mortality risk for the hospitalization episode according to the four severity levels of APR DRGs. The RAMR was calculated as the ratio of observed to expected in-hospital mortality, and the CMR was calculated as the proportion of deaths among all bacteraemia episodes.

RESULTS

Of 2939 BSIs, 2541 were included: Escherichia coli (n = 1310), Klebsiella pneumoniae (n = 428), Pseudomonas aeruginosa (n = 209), Staphylococcus aureus (n = 498) and candidaemia (n = 96). A total of 436 (17.2%) patients died during hospitalization and 279 died within the first 14 days after the onset of BSI. Throughout the period, all BSI cases had a mortality rate above the expected adjusted mortality (RAMR value greater than 1), except for Escherichia coli (1.03; 95% CI 0.86-1.21). The highest overall RAMR values were observed for P. aeruginosa, Candida and S. aureus with 2.06 (95% CI 1.57-2.62), 1.99 (95% CI 1.3-2.81) and 1.8 (95% CI 1.47-2.16), respectively. The temporal evolution of CMR may differ from RAMR, especially in E. coli, where it was reversed.

CONCLUSIONS

RAMR showed higher than expected mortality for all BSIs studied except E. coli and provides complementary to and more clinically comprehensive information than CMR, the currently recommended antibiotic stewardship programme mortality indicator.

Pediatric Physical Restraint Coding in US Hospitals: A 2019 Kids Inpatient Database Study

BACKGROUND

Reduction of physical restraint utilization is a goal of high-quality hospital care, but there is little nationally-representative data about physical restraint utilization in hospitalized children in the United States. This study reports the rate of physical restraint coding among hospitalizations for patients aged 1 to 18 years old in the United States and explores associated demographic and diagnostic factors.

METHODS

The Kids' Inpatient Database, an all-payors database of community hospital discharges in the United States, was queried for hospitalizations with a diagnosis of physical restraint status in 2019. Logistic regression using patient sociodemographic characteristics was used to characterize factors associated with physical restraint coding.

RESULTS

A coded diagnosis of physical restraint status was present for 8893 (95% confidence interval [CI]: 8227-9560) hospitalizations among individuals aged 1 to 18 years old, or 0.63% of hospitalizations. Diagnoses associated with physical restraint varied by age, with mental health diagnoses overall the most frequent in an adjusted model, male sex (adjusted odds ratio [aOR] 1.56; 95% CI: 1.47-1.65), Black race (aOR 1.43; 95% CI: 1.33-1.55), a primary mental health or substance diagnosis (aOR 7.13; 95% CI: 6.42-7.90), Medicare or Medicaid insurance (aOR 1.33; 95% CI: 1.24-1.43), and more severe illness (aOR 2.83; 95% CI: 2.73-2.94) were associated with higher odds of a hospitalization involving a physical restraint code.

CONCLUSIONS

Physical restraint coding varied by age, sex, race, region, and disease severity. These results highlight potential disparities in physical restraint utilization, which may have consequences for equity.

Thirty-Day Readmissions After Hospitalization for Psoriatic Arthritis

Background Psoriatic arthritis (PsA) is correlated with higher rates of major adverse cardiovascular events and autoimmune disorders than the general population, leading to more frequent hospitalizations. This study assessed the rates and characteristics of index and 30-day readmissions among adults hospitalized for PsA and evaluated the indications and predictors of 30-day readmissions across the United States. Methodology We analyzed the 2020 Nationwide Readmissions Database for adult PsA hospitalizations using the International Classification of Diseases, Tenth Revision, Clinical Modification codes. To compare baseline characteristics between index admissions and readmissions, we used chi-square tests. We used ranking commands to identify the most common indications for readmissions and multivariable Cox regression analysis to identify the predictors of readmissions. The primary endpoints were the rates and characteristics of index and 30-day readmissions. The secondary endpoint was the predictors of readmission within 30 days of index hospital discharge. Results Approximately 842 index hospitalizations for PsA were analyzed. Of these, 244 (29%) resulted in 30-day readmissions, with the primary causes being acute kidney failure, major depression, and heart failure. Readmitted patients had a mean age of 48.2 years (SD = 6.4 years) compared with 54.6 years (SD = 2.2 years) in index hospitalizations (p = 0.147). More readmitted patients were uninsured than index hospitalizations (18.6% vs. 4.4%; p = 0.015). The mean length of stay for readmissions was 7.2 days compared with 3.9 days for index admissions. The mean total hospital costs were US$31,424 for index admissions and US$60,147 for readmissions (p < 0.001). Significant differences in comorbidities such as hypertension (24.8% vs. 40.1%, p = 0.032), liver disease (29% vs. 7.9%, p = 0.020), uveitis (9.4% vs. 4.5%, p < 0.001), inflammatory bowel disease (8.6% vs. 3.8%, p < 0.001), and alcohol use disorder (29% vs. 7.8%, p = 0.002) were observed between readmissions and index admissions. Age <40 years (adjusted hazard ratio (AHR) = 2.35; p = 0.047), home healthcare (AHR = 5.87; p = 0.035), residence in the same state as the hospital (AHR = 1.24; p = 0.018), and secondary diagnoses of inflammatory bowel disease (AHR = 2.33; p < 0.001) or deep venous thrombosis (AHR = 3.80; p = 0.007) were correlated with an increased likelihood of readmission. Conclusions About one in three hospitalizations for PsA result in readmission within 30 days of initial discharge. Age <40 years, discharge to home healthcare, and a secondary diagnosis of inflammatory bowel disease or deep venous thrombosis were correlated with an increased likelihood of readmission.

Association of race and ethnicity with pediatric burn outcomes: A population study of the Kids' Inpatient Database

BACKGROUND

While most studies on burn outcomes have focused on adults, it is unclear if the same socioeconomic and environmental inequalities affect paediatric patients. This study aims to investigate the impact of race and ethnicity on outcomes in paediatric burn patients.

METHODS

The Kids' Inpatient Database is released by Agency for Healthcare Research and Quality, and is the largest publicly available database for the United States inpatient paediatric population. All paediatric burned patients in 2016 and 2019 were identified. Race and/or ethnicity was the primary exposure variable, and the primary outcome was a composite of several in-hospital morbidities. Secondary outcomes included death, non-routine disposition, and length of stay. Fine-Gray competing risks regression and multivariable logistic regression were used to analyze length of stay and all other outcomes, respectively. Analysis also isolated subgroups related to socioeconomic status and case severity.

RESULTS

We included12,582 pediatric burn patients in this study. No difference was found in composite morbidity between White patients and those of other race or ethnicity groups. Hispanic ethnicity was associated with longer lengths of stay and increased odds of routine (i.e. home) discharge. Black patients had increased length of stay compared to White patients only in severe burn cases.

CONCLUSIONS

Our study implies that race- or ethnicity-associated mechanisms driving outcome disparities in adults does not necessarily apply in paediatric burn patients.

Burden of delayed discharge on acute hospital medical wards: A retrospective ecological study in Rome, Italy

INTRODUCTION

Delayed discharge represents the difficulty in proceeding with discharge of patients who do not have any further benefit from prolonged stay. A quota of this problem is related to organizational issues. In the Lazio region in Italy, a macro service re-organization in on the way, with a network of hospital and territorial centers engaged in structuring in- and out- of hospital patient pathways, with a special focus on intermediate care structures. Purpose of this study is to quantify the burden of delayed discharge on a single hospital structure, in order to estimate costs and occurrence of potential resource misplacement.

MATERIAL AND METHODS

Observational Retrospective study conducted at the Santo Spirito Hospital in Rome, Italy. Observation period ranged from 1/09/2022, when the local database was instituted, to 1/03/2023 (6 months). Data from admissions records was anonymously collected. Data linkage with administrative local hospital database was performed in order to identify the date a discharge request was fired for each admission. Surgical discharges and Intensive Care Unit (ICU) discharges were excluded from this study. A Poisson hierarchical regression model was employed to investigate for the role of ward, Severity of Disease (SoD) and Risk of Mortality (RoM) on elongation of discharge time.

RESULTS

1222 medical ward admissions were recorded in the timeframe. 16% of them were considered as subject to potentially elongated stay, and a mean Delay in discharge of 6.3 days (SD 7.9) was observed.

DISCUSSION AND CONCLUSIONS

Delayed discharge may cause a "bottleneck" in admissions and result in overcrowded Emergency Department, overall poor performance, and increase in overall costs. A consisted proportion of available beds can get inappropriately occupied, and this inflates both direct and indirect costs. Clinical conditions on admission are not a good predictor of delay in discharge, and the root causes of this phenomenon likely lie in organizational issues (on structure\system level) and social issues (on patient's level).

Impact of Frailty on Left Ventricular Assist Device Clinical Outcomes

Frailty is a clinical syndrome prevalent in older adults and carries poor outcomes in patients with heart failure. We investigated the impact of frailty on left ventricular assist device (LVAD) clinical outcomes. The Nationwide Readmission Database was used to retrospectively identify patients with a primary diagnosis of heart failure who underwent LVAD implantation during their hospitalization from 2014 to 2020. Patients were categorized into frail and nonfrail groups using the Hospital Frailty Risk Score. Cox and logistic regression were used to predict the impact of frailty on inpatient mortality, 30-day readmissions, length of stay, and discharge to a skilled nursing facility. LVADs were implanted in 11,465 patients who met the inclusion criteria. There was more LVAD use in patients who were identified as frail (81.6% vs 18.4%, p <0.001). The Cox regression analyses revealed that LVAD insertion was not associated with increased inpatient mortality in frail patients (hazard ratio 1.15, 95% confidence interval 0.81 to 1.65, p = 0.427). Frail patients also did not experience a higher likelihood of readmissions within 30 days (hazard ratio 1.15, 95% confidence interval 0.91 to 1.44, p = 0.239). LVAD implantation did not result in a significant increase in inpatient mortality or readmission rates in frail patients compared with nonfrail patients. These data support continued LVAD use in this high-risk patient population.

Convergent Validity of 2 Widely Used Methodologies for Calculating the Hospital Standardized Mortality Ratio in Flanders, Belgium

OBJECTIVES

To assess their construct validity, we compared results from 2 models used for estimating hospital standardized mortality ratios (HSMRs) in Belgium. The method of the Flemish Hospital Network (FHN) is based on a logistic regression for each of the 64 All Patient Refined Diagnosis-Related Groups that explain 80% of mortality and uses the Elixhauser score to correct for comorbidities. (H)SMRs published on the 3M-Benchmark-Portal are calculated by a simpler indirect standardization for All Patient Refined Diagnosis-Related Groups and risk of mortality (ROM) at discharge.

METHODS

We used administrative data from all eligible hospital admissions in 22 Flemish hospitals between 2016 and 2019 (FHN, n = 682,935; 3M, n = 2,122,305). We evaluated model discrimination and accuracy and assessed agreement in estimated HSMRs between methods.

RESULTS

The Spearman correlation between HSMRs generated by the FHN model and the standard 3M model was 0.79. Although 2 of 22 hospitals showed opposite classification results, that is, an HSMR significantly <1 according to the FHN method but significantly >1 according to the 3M model, classification agreement between methods was significant (agreement for 59.1% of hospitals, κ = 0.45). The 3M model ( c statistic = 0.96, adjusted Brier score = 26%) outperformed the FHN model (0.87, 17%). However, using ROM at admission instead of at discharge in the 3M model significantly reduced model performance ( c statistic = 0.94, adjusted Brier score = 21%), but yielded similar HSMR estimates and eliminated part of the discrepancy with FHN results.

CONCLUSIONS

Results of both models agreed relatively well, supporting convergent validity. Whereas the FHN method only adjusts for disease severity at admission, the ROM indicator of the 3M model includes diagnoses not present on admission. Although diagnosis codes generated by complications during hospitalization have the tendency to increase the predictive performance of a model, these should not be included in risk adjustment procedures.

Coding for Physical Restraint Status Among Hospitalized Patients: a 2019 National Inpatient Sample Analysis

BACKGROUND

The reduction of physical restraint utilization in the hospital setting is a key goal of high-quality care, but little is known about the rate of restraint use in general hospitals in the USA.

OBJECTIVE

This study reports the rate of physical restraint coding among acute care hospital discharges in the USA and explores associated demographic and diagnostic factors.

DESIGN

The National Inpatient Sample, a de-identified all-payors database of acute care hospital discharges in the USA, was queried for patients aged 18 and older with a diagnosis code for physical restraint status in 2019.

PARTICIPANTS

Hospitalized patients aged 18 and older.

MAIN MEASURES

Demographics, discharge diagnoses, in-hospital mortality, length of stay, total hospital charges.

KEY RESULTS

In total, 220,470 (95% CI: 208,114 to 232,826) hospitalizations, or 0.7% of overall hospitalizations, included a discharge code for physical restraint status. There was a 700-fold difference in coding for restraint utilization based on diagnosis, with 7.4% of patients with encephalitis receiving restraint diagnosis codes compared to < 0.01% of patients with uncomplicated diabetes. In an adjusted model, male sex was associated with an odds ratio of 1.4 (95% CI: 1.4 to 1.5) for restraint utilization coding, and Black race was associated with an odds ratio of 1.3 (95% CI: 1.2 to 1.4) relative to white race.

CONCLUSIONS

In the general hospital setting, there is variability in physical restraint coding by sex, race, and clinical diagnosis. More research is needed into the appropriate utilization of restraints in the hospital setting and possible inequities in restraint utilization.

Racial and socioeconomic disparities in the advanced treatment of medically intractable pediatric epilepsy

OBJECTIVE

Racial and ethnic disparities in healthcare have gained significant importance since the Institute of Medicine published its report on disparities in healthcare. There is a lack of evidence on how race and ethnicity affect access to advanced treatment of pediatric medically intractable epilepsy. In this context, the authors analyzed the latest Kids’ Inpatient Database (KID) for racial/ethnic disparities in access to surgical treatment of epilepsy.

METHODS

The authors queried the KID for the years 2016 and 2019 for the diagnosis of medically intractable epilepsy.

RESULTS

A total of 29,292 patients were included in the sample. Of these patients, 8.9% (n = 2610) underwent surgical treatment/invasive monitoring. The mean ages in the surgical treatment and nonsurgical treatment groups were 11.73 years (SD 5.75 years) and 9.5 years (SD 6.16 years), respectively. The most common insurance in the surgical group was private/commercial (55.9%) and Medicaid in the nonsurgical group (47.7%) (p < 0.001). White patients accounted for the most common population in both groups, followed by Hispanic patients. African American patients made up 7.9% in the surgical treatment group compared with 12.9% in the nonsurgical group. African American (41.1%) and Hispanic (29.9%) patients had higher rates of emergency department (ED) utilization compared with the White population (24.6%). After adjusting for all covariates, the odds of surgical treatment increased with increasing age (OR 1.06, 95% CI 1.053–1.067; p < 0.001). African American race (OR 0.513, 95% CI 0.443–0.605; p < 0.001), Hispanic ethnicity (OR 0.681, 95% CI 0.612–0.758; p < 0.001), and other races (OR 0.789, 95% CI 0.689–0.903; p = 0.006) had lower surgical treatment odds compared with the White population. Medicaid/Medicare was associated with lower surgical treatment odds than private/commercial insurance (OR 0.603, 0.554–0.657; p < 0.001). Interaction analysis revealed that African American (OR 0.708, 95% CI 0.569–0.880; p = 0.001) and Hispanic (OR 0.671, 95% CI 0.556–0.809; p < 0.001) populations with private insurance had lower surgical treatment odds than White populations with private insurance. Similarly, African American patients, Hispanic patients, and patients of other races with nonprivate insurance also had lower surgical treatment odds than their White counterparts after adjusting for all other covariates.

CONCLUSIONS

Based on the KID, African American and Hispanic populations had lower surgical treatment rates than their White counterparts, with higher utilization of the ED for pediatric medically intractable epilepsy.