Hospital Variation Research Articles

Gender gaps in type 1 diabetes care.

Diabetes mellitus is one of the largest global health concerns of recent times. Women with diabetes mellitus have a higher excess risk of all-cause mortality and more vascular events than men. Focusing on type 1 diabetes, this could be caused by gender inequalities in delivered diabetes care. This study aims to assess gender differences in type 1 diabetes outpatient care, particularly diagnostics and outcomes. This cross-sectional cohort study included all adult type 1 diabetes patients in the Dutch Pediatric and Adult Registry of Diabetes (DPARD) visiting diabetes outpatient clinics between 2016-2021. The frequency of process measurements, including physical examination and laboratory testing, was assessed among both sexes after adjustment for age and body mass index. Gender differences in eGFR ≥ 60, BMI-, and control in blood pressure and LDL-cholesterol were evaluated. Hospital variation in achieving HbA1c targets of 53mmol/mol and median HbA1c were assessed. Cardiovascular risk scores were calculated in men and women using the Systematic Coronary Risk Evaluation (SCORE) European low-risk chart. Our study showed a 17% higher odds of reaching weight control and a 23% lower odds of achieving blood pressure targets in men than women. Gender-skewed cardiovascular mortality risk scores were found. Gender disparities in outcomes appear not to be caused by gender-biased attitudes in healthcare professionals since no gender differences were found in the performance of process measurements in type 1 diabetes care. In addition, hospitals appear to vary by extent of gender differences in achieving a target HbA1c of 53mmol/mol. Gender equality exists in the diagnostic process of diabetes care. However, differences in weight control, blood pressure control, and cardiovascular mortality risk scores remain between both sexes, most likely due to multifactorial causes. Indications for interhospital variation in gender disparities in HbA1c control exist. Further focus on performance of process measurements between hospitals may identify areas for improvement of gender-skewed outcomes to further enhance Dutch diabetes care for both sexes.

Repeat Hepatic Resection for Colorectal Liver Metastases, Assessment of Outcomes and Hospital Variation: A Nationwide Cohort Study

Repeat Hepatic Resection for Colorectal Liver Metastases, Assessment of Outcomes and Hospital Variation: A Nationwide Cohort Study

The Appalachian Gap in Preventable Hospitalizations: Are We Seeing Any Progress?

Previous studies have documented geographic variation in preventable hospitalizations between rural and urban areas, but much less is known about preventable hospitalization patterns between heterogeneous rural areas. Unique challenges related to access of care and poverty may put the rural Appalachian Region at risk for higher rates of preventable hospitalizations. This study examines whether within-rural differences in Kentucky's preventable hospitalization rates exist and how these differences may be changing over time. Longitudinal and geographic trends in county-level preventable hospitalization rates were examined using Kentucky hospital discharge data from 2016 to 2019. Regression models were run to determine whether changes over time in preventable hospitalization rates led to an increasing or decreasing gap in outcomes between rural Appalachian counties and their urban and rural non- Appalachian counterparts. Rural Appalachian counties consistently had significantly higher preventable hospitalizations rates compared to their rural non-Appalachian and urban counterparts ( p < 0.01). A downward trend in overall preventable hospitalizations was observed for rural Appalachia over time, but trends were relatively stable for rural non-Appalachian and urban counties. Regression results indicate that there was no significant reduction in the "Appalachian gap" over time. The analyses confirm that rural areas within Kentucky experienced highly heterogeneous rates of preventable hospitalizations. Despite Medicaid expansion, there is little evidence of any narrowing of the "Appalachian gap." Focus on improving access to care alone may be insufficient to improve outcomes. Alternative strategies that leverage population health approaches may improve capacity to address complex health and social needs in rural Appalachia.

The reliability of revision rates following primary shoulder arthroplasty as a quality indicator to rank hospital performance: a national registry analysis including 13,104 shoulders and 87 hospitals.

To assess the extent of between-hospital variation in revision following primary shoulder arthroplasty (SA), both overall and for specific revision indications to guide quality improvement initiatives, and to assess whether revision rates are suitable as quality indicators to reliably rank hospital performance. All primary SAs performed between 2014 and 2018 were included from the Dutch Arthroplasty Register to examine 1-year revision and all primary SAs performed between 2014 and 2016 for 1- and 3-year revisions. For each hospital, the observed number (O) of revisions was compared with that expected (E) based on case-mix and depicted in funnel plots with 95% control limits to identify outlier hospitals. The rankability (ie, the reliability of ranking hospitals) was calculated as the percentage of total hospital variation due to true between-hospital differences rather than chance and categorized as low (<50%), moderate (50%-75%), and high (>75%). A total of 13,104 primary SAs (87 hospitals) in 2014-2018 were included, of which 7213 were performed between 2014 and 2016. Considerable between-hospital variation was found in 1-year revision in 2014-2016 (median 1.6%, interquartile range 0.0%-3.1%), identifying 3 outlier hospitals having overall significantly more revisions than expected (O/E range 1.9-2.3) and for specific indications (cuff pathology and infection). Results for 2014-2018 were similar. For 3-year revision, 3 outlier hospitals were identified (O/E range 1.7-3.3). Rankabilities for all outcomes were low. Considerable between-hospital variation was observed for 1- and 3-year revision rates following primary SA, where outlier hospitals could be identified based on large differences in revision for specific indications to direct quality improvement initiatives. However, rankabilities were low, meaning that much of the other (smaller) variation in performance could not be detected, rendering revisions unsuitable to rank hospital performances following primary SA.

A Mixed-methods Study to Define Textbook Outcome for the Treatment of Patients with Uncomplicated Symptomatic Gallstone Disease with Dutch Hospital Variation Analyses

A Mixed-methods Study to Define Textbook Outcome for the Treatment of Patients with Uncomplicated Symptomatic Gallstone Disease with Dutch Hospital Variation Analyses

Hospital Variation in Feeding Jejunostomy Policy for Minimally Invasive Esophagectomy: A Nationwide Cohort Study.

The purpose of this study was to investigate hospital variation in the placement, surgical techniques, and safety of feeding jejunostomies (FJ) during minimally invasive esophagectomy (MIE) in the Netherlands. This nationwide cohort study analyzed patients registered in the Dutch Upper Gastrointestinal Cancer Audit (DUCA) that underwent MIE for cancer. Hospital variation in FJ placement rates were investigated using case-mix corrected funnel plots. Short-term outcomes were compared between patients with and without FJ using multilevel multivariable logistic regression analysis. The incidence of FJ-related complications was described and compared between hospitals performing routine and non-routine placement (≥90%−<90% of patients). Between 2018−2020, an FJ was placed in 1481/1811 (81.8%) patients. Rates ranged from 11−100% among hospitals. More patients were discharged within 10 days (median hospital stay) without FJ compared to patients with FJ (64.5% vs. 50.4%; OR: 0.62, 95% CI: 0.42−0.90). FJ-related complications occurred in 45 (3%) patients, of whom 23 (1.6%) experienced severe complications (≥Clavien−Dindo IIIa). The FJ-related complication rate was 13.7% in hospitals not routinely placing FJs vs. 1.7% in hospitals performing routine FJ placement (p < 0.001). Significant hospital variation in the use of FJs after MIE exists in the Netherlands. No effect of FJs on complications was observed. FJs can be placed safely, with lower FJ-related complication rates, in centers performing routine placement.

Racialized economic segregation and potentially preventable hospitalizations among Medicaid/CHIP-enrolled children.

To examine geographic variation in preventable hospitalizations among Medicaid/CHIP-enrolled children and to test the association between preventable hospitalizations and a novel measure of racialized economic segregation, which captures residential segregation within ZIP codes based on race and income simultaneously. We supplement claims and enrollment data from the Transformed Medicaid Statistical Information System (T-MSIS) representing over 12 million Medicaid/CHIP enrollees in 24 states with data from the Public Health Disparities Geocoding Project measuring racialized economic segregation. We measure preventable hospitalizations by ZIP code among children. We use logistic regression to estimate the association between ZIP code-level measures of racialized economic segregation and preventable hospitalizations, controlling for sex, age, rurality, eligibility group, managed care plan type, and state. We include children ages 0-17 continuously enrolled in Medicaid/CHIP throughout 2018. We use validated algorithms to identify preventable hospitalizations, which account for characteristics of the pediatric population and exclude children with certain underlying conditions. Preventable hospitalizations vary substantially across ZIP codes, and a quarter of ZIP codes have rates exceeding 150 hospitalizations per 100,000 Medicaid-enrolled children per year. Preventable hospitalization rates vary significantly by level of racialized economic segregation: children living in the ZIP codes that have the highest concentration of low-income, non-Hispanic Black residents have adjusted rates of 181 per 100,000 children, compared to 110 per 100,000 for children in ZIP codes that have the highest concentration of high-income, non-Hispanic white residents (p < 0.01). This pattern is driven by asthma-related preventable hospitalizations. Medicaid-enrolled children's risk of preventable hospitalizations depends on where they live, and children in economically and racially segregated neighborhoods-specifically those with higher concentrations of low-income, non-Hispanic Black residents-are at particularly high risk. It will be important to identify and implement Medicaid/CHIP and other policies that increase access to high-quality preventive care and that address structural drivers of children's health inequities.

Seasonal Variation in Neurologic Hospitalizations in the United States.

Certain neurologic diseases have been noted to vary by season, and this is important for understanding disease mechanisms and risk factors, but seasonality has not been systematically examined across the spectrum of neurologic disease, and methodologic guidance is also lacking. Using nationally representative data from the National Inpatient Sample, a stratified 20% sample of all non-federal acute care hospitalizations in the United States, we calculated the monthly rate of hospitalization for 14 neurologic diseases from 2016 to 2018. For each disease, we assessed seasonality of hospitalization using chi-squared, Edward, and Walter-Elwood tests and seasonal time series regression models. Statistical tests were adjusted for multiple hypothesis testing using Bonferroni correction. Meningitis, encephalitis, ischemic stroke, intracerebral hemorrhage, Guillain-Barre syndrome, and multiple sclerosis had statistically significant seasonality according to multiple methods of testing. Subarachnoid hemorrhage, status epilepticus, myasthenia gravis, and epilepsy had significant seasonality according to Edwards and Walter-Elwood tests but not chi-square tests. Seasonal time series regression illustrated seasonal variation in all 14 diseases of interest, but statistical testing for seasonality within these models using the Kruskal-Wallis test only achieved statistical significance for meningitis. Seasonal variation is present across the spectrum of acute neurologic disease, including some conditions for which seasonality has not previously been described, and can be examined using multiple different methods. ANN NEUROL 2023;93:743-751.

Variation in hospital utilization of palliative interventions for patients with advanced gastrointestinal cancer near end of life.

Patients with advanced gastrointestinal (GI) cancer often undergo noncurative interventions with palliative intent to relieve high symptom burden near end of life. Hospital-level variation in intervention utilization remains unclear. National cohort study of 142 304 patients with stage III or IV GI cancer within the National Cancer Database (2004-2014) who died within 1-year of diagnosis. Hospitals were stratified by palliative intervention utilization (surgery, chemotherapy, radiation, pain management). Multivariable, multinomial regression evaluated the association between patient/hospital factors and palliative intervention utilization. Across 1322 hospitals, median hospital palliative intervention utilization was 12.0% [interquartile range: 0.0%-26.1%]. Utilization increased over time in all but lowest utilizing hospitals. Relative to lowest utilizing hospitals, factors associated with a lower likelihood of care at highest utilizing hospitals included: race (White [ref]; Black-Relative Risk Ratio [RRR] 0.81, 95%confidence interval [0.77-0.85]) and lower income (RRR 0.81 [0.78-0.84]). Factors associated with a higher likelihood included: lower education level (RRR 1.62 [1.55-1.69]) and hospital type (community program [ref]; comprehensive community-RRR 1.33 [1.26-1.41]; academic-RRR 1.88 [1.77-1.99]; integrated network-RRR 1.79 [1.66-1.93]). Hospital variation in palliative intervention use is substantial and potentially associated with sociodemographic and hospital characteristics. Future work can examine how differences in hospital care processes translate to quantity/quality of life for cancer patients.

Geographical variation in compulsory hospitalisation - ethical challenges.

Compulsory hospitalisation in mental health care restricts patients' liberty and is experienced as harmful by many. Such hospitalisations continue to be used due to their assumed benefit, despite limited scientific evidence. Observed geographical variation in compulsory hospitalisation raises concern that rates are higher and lower than necessary in some areas. We present a specific normative ethical analysis of how geographical variation in compulsory hospitalisation challenges four core principles of health care ethics. We then consider the theoretical possibility of a "right", or appropriate, level of compulsory hospitalisation, as a general norm for assessing the moral divergence, i.e., too little, or too much. Finally, we discuss implications of our analysis and how they can inform the future direction of mental health services.

PP12 Challenges In Assessing The Efficacy Of Non-Pharmacological Measures In The Context Of The COVID-19 Pandemic

IntroductionThe outbreak of the COVID-19 global pandemic in 2020 has been a major challenge for the world’s population and governments. The lack of vaccines, the saturation of health systems, and its rapid spread forced governments to take non-pharmacological interventions (NPI) that had a high impact on the population. Assessing the efficacy of these measures is a challenge for health technology assessment bodies.MethodsThe main NPIs for which assessment was required were: mobility restrictions, social distancing, cancellation of events or reduction of seating capacity, closure or reduction of seating capacity in non-essential businesses, closure or limitation of seating capacity in educational establishments, and promotion of teleworking in potential jobs. The implementation of these measures at a global level provides a large population for the study of the impact of these measures. However, the challenges for their evaluation are numerous: •The joint implementation of these measures makes it difficult to evaluate them in an isolated manner.•The heterogeneity between countries and regions of the pandemic situation at the time when these measures are initiated and terminated.•The different accuracy in the application of the measures.•Heterogeneity in the quality and accessibility of public health services for citizens.ResultsOutcome variables to assess the effectiveness of these measures should include parameters related to:•Incidence variables: the number of new or accumulated cases in a given time range, the variation in the number of cases in a given time range and the proportion of positive tests.•Transmission variables: the basic reproductive number (R0) and the effective reproductive number (Rt).•Severity and mortality variables: the number or variation of hospitalizations, the number or variation of intensive care unit (ICU) hospitalizations and the number or variation of deaths.ConclusionsThe large number of available data, the heterogeneity of the measures, the differences between populations, the numerous outcome variables and the possible inclusion of mathematical modelling studies, are a methodological challenge for the HTA bodies.

2022 Canadian Surgery Forum Sept. 15–17, 202201. Operative classification of ventral abdominal hernias: new and practical classification02. Watchful waiting for large primary splenic cysts03. Transversus abdominis plane (TAP) blocks with and without dexamethasone in colorectal surgery04. What factors determine publication of resident research day projects?05. Characterization of near-infrared imaging and indocyanine green use amongst general surgeons06. Variation in opioid prescribing

# 01. Operative classification of ventral abdominal hernias: new and practical classification {#article-title-2} Ventral hernias of the abdomen are defined as a noninguinal, nonhiatal defect in the fascia of the abdominal wall. Unfortunately, there is not currently a universal classification system

COVID-19 hospitalizations and patients' age at admission: The neglected importance of data variability for containment policies.

An excess in the daily fluctuation of COVID-19 in hospital admissions could cause uncertainty and delays in the implementation of care interventions. This study aims to characterize a possible source of extravariability in the number of hospitalizations for COVID-19 by considering age at admission as a potential explanatory factor. Age at hospitalization provides a clear idea of the epidemiological impact of the disease, as the elderly population is more at risk of severe COVID-19 outcomes. Administrative data for the Veneto region, Northern Italy from February 1, 2020, to November 20, 2021, were considered. An inferential approach based on quasi-likelihood estimates through the generalized estimation equation (GEE) Poisson link function was used to quantify the overdispersion. The daily variation in the number of hospitalizations in the Veneto region that lagged at 3, 7, 10, and 15 days was associated with the number of news items retrieved from Global Database of Events, Language, and Tone (GDELT) regarding containment interventions to determine whether the magnitude of the past variation in daily hospitalizations could impact the number of preventive policies. This study demonstrated a significant increase in the pattern of hospitalizations for COVID-19 in Veneto beginning in December 2020. Age at admission affected the excess variability in the number of admissions. This effect increased as age increased. Specifically, the dispersion was significantly lower in people under 30 years of age. From an epidemiological point of view, controlling the overdispersion of hospitalizations and the variables characterizing this phenomenon is crucial. In this context, the policies should prevent the spread of the virus in particular in the elderly, as the uncontrolled diffusion in this age group would result in an extra variability in daily hospitalizations. This study demonstrated that the overdispersion, together with the increase in hospitalizations, results in a lagged inflation of the containment policies. However, all these interventions represent strategies designed to contain a mechanism that has already been triggered. Further efforts should be directed toward preventive policies aimed at protecting the most fragile subjects, such as the elderly. Therefore, it is essential to implement containment strategies before the occurrence of potentially out-of-control situations, resulting in congestion in hospitals and health services.

COVID-19 Clinical Features and Outcomes in Elderly Patients during Six Pandemic Waves.

Many elderly patients with severe SARS-CoV-2 infections and COVID-19 infections are admitted to intensive care units. Age was previously identified as an independent risk factor for death and contributed to the greater severity of COVID-19. The elderly may have diminished lung functions, poor reactions to artificial ventilation, and compromised immune systems. However, it is yet uncertain how each pandemic wave and the predominant SARS-CoV-2 strains contribute to varying results and how patient groups such as the elderly are impacted. Comparing six COVID-19 pandemic waves, the objective of this study was to examine the variation in case severity, symptomatology, ICU hospitalizations, and mortality among SARS-CoV-2-infected elderly individuals. The study followed a retrospective design, including 60 eligible patients older than 70 years in each of the six pandemic wave groups, after matching them by the number of comorbidities and gender. SARS-CoV-2 infection during the first, third, and fourth pandemic waves had a significantly higher risk of mortality for hospitalized patients. Confusion and dyspnea at admission were significant risk factors for ICU admission in elderly patients (β = 1.92, respectively β = 3.65). The laboratory parameters identified decreased lymphocytes (β = 2.11), elevated IL-6 (β = 1.96), and procalcitonin (β = 2.46) as the most significant risk factors. The third and fourth COVID-19 waves had considerably more severe infections (31.7% and 26.7%) than the sixth wave (13.3%). Median ICU stay and percentage of patients receiving oxygen support also differed across pandemic waves. However, mortality rates between the six pandemic waves were similar. The average length of hospitalization varied dramatically among the six pandemic waves. Although senior patients are more likely to have worse COVID-19 outcomes after hospitalization, this risk is mitigated by the greater prevalence of comorbidities and frailty among the elderly. The six pandemic waves that were specifically evaluated did not reveal considerably disproportionate variations in terms of patient mortality; however, during the fourth pandemic wave, there were likely more hospitalized patients with severe COVID-19 in Romania. It is probable that certain circulating SARS-CoV-2 strains were more infectious, resulting in an increase in infections and a strain on healthcare systems, which might explain the variations found in our research.

Abstract 05: Hospital Variation In Epinephrine Administration Prior To Defibrillation For Cardiac Arrest Due To Shockable Rhythm

Background: Contrary to guidelines, we recently found that epinephrine administration before first defibrillation for in-hospital cardiac arrest (IHCA) due to a shockable rhythm is not uncommon. However, the extent to which the above practice varies across hospitals and its association with hospital-level survival is unknown. Methods: Using 2000-19 data from the Get With The Guidelines ® -Resuscitation (GWTG-R) registry, we identified 57,816 adult patients (521 sites) with an index IHCA due to an initial shockable rhythm who received at least 1 defibrillation prior to achieving return of spontaneous circulation. We constructed multivariable hierarchical regression models to examine site-level variation in epinephrine before first defibrillation and its association with hospital survival. Results: Overall, the median rate of epinephrine before defibrillation was 18.8% and varied markedly across hospitals (range: 0%-70.6%, median odds ratio [OR] 1.50; 95% C.I. 1.43 - 1.57). Compared to hospitals in the lowest quartile (Q1) for epinephrine before defibrillation, hospitals in the highest quartile (Q4) were more likely to be major teaching hospitals and have more hospital beds. After adjusting for baseline variables, the median risk-standardized survival was 42.5% (IQR: 39.2%-46.0%). Compared to Q1 hospitals (epinephrine first rate of 0-12.4%), there was a stepwise decline in risk-standardized survival at hospitals with higher rates of epinephrine before first defibrillation: Q2: RR 0.95 [0.90-0.99]; Q3: RR 0.91 [0.87-0.96]; Q4: RR 0.81 [0.77-0.86]; P value for trend &lt;0.001. Conclusions: For patients with shockable IHCA, there is marked hospital variation in epinephrine administration prior to first defibrillation, and this practice is associated with lower rates of survival to discharge. Hospital efforts to prioritize immediate defibrillation for patients with shockable IHCA are urgently needed.

Variations in long-term care home resident hospitalizations before and during the COVID-19 pandemic in Ontario.

To examine how the COVID-19 pandemic affected the demographic and clinical characteristics, in-hospital care, and outcomes of long-term care residents admitted to general medicine wards for non-COVID-19 reasons. We conducted a retrospective cohort study of long-term care residents admitted to general medicine wards, for reasons other than COVID-19, in four hospitals in Toronto, Ontario between January 1, 2018 and December 31, 2020. We used an autoregressive linear model to estimate the change in monthly admission volumes during the pandemic period (March-December 2020) compared to the previous two years, adjusting for any secular trend. We summarized and compared differences in the demographics, comorbidities, interventions, diagnoses, imaging, psychoactive medications, and outcomes of residents before and during the pandemic. Our study included 2,654 long-term care residents who were hospitalized for non-COVID-19 reasons between January 2018 and December 2020. The crude rate of hospitalizations was 79.3 per month between March-December of 2018-2019 and 56.5 per month between March-December of 2020. The was an adjusted absolute difference of 27.0 (95% CI: 10.0, 43.9) fewer hospital admissions during the pandemic period, corresponding to a relative drop of 34%. Residents admitted during the pandemic period had similar demographics and clinical characteristics but were more likely to be admitted for delirium (pandemic: 7% pre-pandemic: 5%, p = 0.01) and were less likely to be admitted for pneumonia (pandemic: 3% pre-pandemic: 6%, p = 0.004). Residents admitted during the pandemic were more likely to be prescribed antipsychotics (pandemic: 37%, pre-pandemic: 29%, p &lt;0.001) and more likely to die in-hospital (pandemic:14% pre-pandemic: 10%, p = 0.04). Better integration between long-term care and hospitals systems, including programs to deliver urgent medical care services within long-term care homes, is needed to ensure that long-term care residents maintain equitable access to acute care during current and future public health emergencies.

Racial and ethnic disparities in major adverse limb events persist for chronic limb threatening ischemia despite presenting limb threat severity after peripheral vascular intervention

ObjectiveRacial and ethnic disparities have been well-documented in the outcomes for chronic limb threatening ischemia (CLTI). One purported explanation has been the disease severity at presentation. We hypothesized that the disparities in major adverse limb events (MALE) after peripheral vascular intervention (PVI) for CLTI would persist despite controlling for disease severity at presentation using the WIfI (Wound, Ischemia, foot Infection) stage. MethodsThe Vascular Quality Initiative PVI dataset (2016-2021) was queried for CLTI. Patients were excluded if they were missing the WIfI stage. The primary end point was the incidence of 1-year MALE, defined as major amputation (through the tibia or fibula or more proximally) or reintervention (endovascular or surgical) of the initial treatment limb. A multivariate hierarchical Fine-Gray analysis was performed, controlling for hospital variation, competing risk of death, and presenting WIfI stage, to assess the independent association of Black/African American race and Latinx/Hispanic ethnicity with MALE. A Cox proportional hazard regression model was used for the 1-year survival analysis. ResultsOverall, 47,830 patients (60%) had had WIfI scores reported (73% White, 20% Black, and 7% Latinx). The 1-year unadjusted cumulative incidence of MALE was 13.1% (95% confidence interval [CI], 12.6%-13.5%) for White, 14.3% (95% CI, 13.5%-15.3%) for Black, and 17.0% (95% CI, 15.3%-18.9%) for Latinx patients. On bivariate analysis, the occurrence of MALE was significantly associated with younger age, Black race, Latinx ethnicity, coronary artery disease, cerebrovascular disease, congestive heart failure, hypertension, diabetes, dialysis, intervention level, any prior minor or major amputation, and WIfI stage (P < .001). The cumulative incidence of 1-year MALE increased by increasing WIfI stage: stage 1, 11.7% (95% CI, 10.9%-12.4%); stage 2, 12.4% (95% CI, 11.8%-13.0%); stage 3, 14.8% (95% CI, 13.8%-15.8%); and stage 4, 15.4% (95% CI, 14.3%-16.6%). The cumulative incidence also increased by intervention level: inflow, 10.7% (95% CI, 9.8%-11.7%), femoropopliteal, 12.3% (95% CI, 11.7%-12.9%); and infrapopliteal, 14.1% (95% CI, 13.5%-14.8%). After adjustment for WIfI stage only, Black race (subdistribution hazard ratio [SHR], 1.30; 95% CI, 1.17-1.44; P < .001) and Latinx ethnicity (SHR, 1.58; 95% CI, 1.37-1.81; P < .001) were associated with an increased 1-year hazard of MALE compared with White race. On adjusted multivariable analysis, MALE disparities persisted for Black/African American race (SHR, 1.12; 95% CI, 1.01-1.25; P = .028) and Latinx/Hispanic ethnicity (SHR, 1.34; 95% CI, 1.16-1.54; P < .001) compared with White race. ConclusionsBlack/African American and Latinx/Hispanic patients had a higher associated hazard of MALE after PVI for CLTI compared with White patients despite an adjustment for WIfI stage at presentation. These results suggest that disease severity at presentation does not account for disparities in outcomes. Further work should focus on better understanding the underlying mechanisms for disparities in historically marginalized racial and ethnic groups presenting with CLTI.

Association between heart failure quality of care and mortality: a population-based cohort study using nationwide registries.

To evaluate the quality of heart failure (HF) care using the European Society of Cardiology (ESC) quality indicators (QIs) for HF and to assess whether better quality of care is associated with improved outcomes. We performed a nationwide cohort study using the Swedish HF registry, consisting of patients with any type of HF at their first outpatient visit or hospitalization. Independent participant data for quality of HF care was evaluated against the ESC QIs for HF, and association with mortality estimated using multivariable Cox regression. In total, 43 704 patients from 80 hospitals across Sweden enrolled between 2013-2019 were included, with median follow-up 23.6 months. Of the 16 QIs for HF, 13 could be measured and 5 were inversely associated with all-cause mortality during follow-up. Higher attainment (≥50% vs. <50% attainment) of the composite opportunity-based score (combination of QIs into a single score) for patients with reduced ejection fraction was associated with lower all-cause mortality (adjusted hazard ratio 0.81; 95% confidence interval 0.72-0.91). Attainment of the composite score was less in the outpatient than inpatient setting (adjusted odds ratio 0.85; 95% confidence interval 0.72-0.99). Quality of care varied across hospitals, with assessment of health-related quality of life being the indicator with the widest variation in attainment (interquartile range 61.7%). Quality of HF care may be measured using the ESC HF QIs. In Sweden, attainment of HF care evaluated using the QIs demonstrated between and within hospital variation, and many QIs were inversely associated with mortality.

Volume-Outcome Relationship of Resternotomy Coronary Artery Bypass Grafting

BackgroundWe assessed volume-outcome relationships of resternotomy coronary artery bypass grafting (CABG). MethodsWe studied 1,362,218 first-time CABG and 93,985 resternotomy CABG patients reported to The Society of Thoracic Surgeons Adult Cardiac Surgery Database between 2010 and 2019. Primary outcomes were in-hospital mortality and mortality and morbidity (M&M) rates calculated per hospital and per surgeon. Outcomes were compared across 6 total cardiac surgery volume categories. Multivariable generalized linear mixed-effects models were used considering continuous case volume as the main exposure, adjusting for patient characteristics and within-surgeon and hospital variation. ResultsWe observed a decline in resternotomy CABG unadjusted mortality and M&M from the lowest to the highest case-volume categories (hospital-level mortality, 3.9% ± 0.6% to 3.3% ± 0.1%; M&M, 18.5% ± 1.1% to 15.7% ± 0.4%, P < .001; surgeon-level mortality, 4.1% ± 0.3% to 4.1% ± 1.3%; M&M, 18.5% ± 0.6% to 14.5% ± 2.2%, P < .001). Looking at outcomes vs continuous volume showed that beyond a minimum annual volume (hospital 200-300 cases; surgeon 100-150 cases, approximately), mortality and M&M rates did not further improve. Using individual-level data and adjusting for patient characteristics and clustering within surgeon and hospital, we found higher procedural volume was associated with improved surgeon-level outcomes (mortality adjusted odds ratio, 0.39/100 procedures; 95% CI, 0.24-0.61; M&M adjusted odds ratio, 0.37/100 procedures; 95% CI, 0.28-0.48; P < .001 for both). Hospital-level adjusted volume-outcomes associations were not statistically significant. ConclusionsWe observed an inverse relationship between total cardiac case volume and resternotomy CABG outcomes at the surgeon level only, indicating that individual surgeon’s experience, rather than institutional volume, is the key determinant.

Hospital Variation in Mortality After Inpatient Pediatric Surgery.

The aim was to determine the association between risk adjusted hospital perioperative mortality rates, postoperative complications, and failure to rescue (FTR) after inpatient pediatric surgery. FTR has been identified as a possible explanatory factor for hospital variation in perioperative mortality in adults. However, the extent to which this may be the case for hospitals that perform pediatric surgery is unclear. The Pediatric Health Information System database (2012-2020) was used to identify patients who underwent one of 57 high-risk operations associated with significant perioperative mortality (n=203,242). Academic, pediatric hospitals (n=48) were stratified into quintiles based on risk adjusted inpatient mortality [lower than average, quintile 1 (Q1); higher than average, quintile 5 (Q5)]. Multivariable hierarchical regression was used to evaluate the association between hospital mortality rates, complications, and FTR. Inpatient mortality, complication, and FTR rates were 2.3%, 8.8%, and 8.8%, respectively. Among all patients who died after surgery, only 34.1% had a preceding complication (Q1, 36.1%; Q2, 31.5%; Q3, 34.7%; Q4, 35.7%; Q5, 32.2%; trend test, P =0.49). The rates of observed mortality significantly increased across hospital quintiles, but the difference was <1% (Q1, 1.9%; Q5; 2.6%; trend test, P <0.01). Relative to Q1 hospitals, the odds of complications were not significantly increased at Q5 hospitals [odds ratio (OR): 1.02 (0.87-1.20)]. By comparison, the odds of FTR was significantly increased at Q5 hospitals [OR: 1.60 (1.30-1.96)] with a dose-response relationship across hospital quintiles [Q2-OR: 0.99 (0.80-1.22); Q3-OR: 1.26 (1.03-1.55); Q4-OR: 1.33 (1.09-1.63)]. The minority of pediatric surgical deaths are preceded by a postoperative complication, but variation in risk adjusted mortality across academic, pediatric hospitals may be partially explained by differences in the recognition and management of postoperative complications. Additional work is needed to identify children at greatest risk of postoperative death from perioperative complications as opposed to those at risk from pre-existing chronic conditions.