Index Hospital Discharge Research Articles

Risk of rehospitalization due to Clostridioides difficile infection among hospitalized patients with Clostridioides difficile: a cohort study.

Reducing rehospitalization has been a primary focus of hospitals and payors. Recurrence of Clostridioides difficile infection (CDI) is common and often results in rehospitalization. Factors that influence rehospitalization for CDI are not well understood. To determine the risk factors that influence rehospitalization caused by CDI. A retrospective cohort study from January 1, 2018, to December 31, 2018, of patients aged ≥18 who tested positive for C. difficile while hospitalized. Academic hospital. The risk of rehospitalization was assessed across exposures during and after the index hospitalization using a Cox proportional hazards model. The primary outcome of this study was 60-day CDI-related rehospitalization. There were 559 hospitalized patients with a positive CD test during the study period, and 408 patients were included for analysis. All-cause rehospitalization was 46.1% within 60 days of the index hospital discharge. Within 60 days of discharge, 68 patients developed CDI, of which 72.5% (49 of 68) were rehospitalized specifically for the management of CDI. The risk of rehospitalization in patients with CDI was higher among patients who were exposed to systemic antibiotics ([adjusted hazard ratio] aHR: 2.78; 95% CI, 1.36-5.64) and lower among patients who had post-discharge follow-up addressing C. difficile (aHR: 0.53; 95% CI, 0.28-0.98). Exposure to systemic antibiotics increased the risk of rehospitalization due to CDI, while post-discharge follow-up decreased the risk of rehospitalization due to CDI. Comprehensive transitions of care for hospitalized patients with C. difficile may reduce the risk of CDI-related rehospitalization.

Clinical Characteristics and Outcomes of Patients Suffering Acute Decompensated Heart Failure Complicated by Cardiogenic Shock.

Cardiogenic shock (CS) can stem from multiple causes and portends poor prognosis. Prior studies have focused on acute myocardial infarction-CS; however, acute decompensated heart failure (ADHF)-CS accounts for most cases. We studied patients suffering ADHF-CS to identify clinical factors, early in their trajectory, associated with a higher probability of successful outcomes. Consecutive patients with CS were evaluated (N=1162). We studied patients who developed ADHF-CS at our hospital (N=562). Primary end point was native heart survival (NHS), defined as survival to discharge without receiving advanced HF therapies. Secondary end points were adverse events, survival, major cardiac interventions, and hospital readmissions within 1 year following index hospitalization discharge. Association of clinical data with NHS was analyzed using logistic regression. Overall, 357 (63.5%) patients achieved NHS, 165 (29.2%) died, and 41 (7.3%) were discharged post advanced HF therapies. Of 398 discharged patients (70.8%), 303 (53.9%) were alive at 1 year. Patients with NHS less commonly suffered cardiac arrest, underwent intubation or pulmonary artery catheter placement, or received temporary mechanical circulatory support, had better hemodynamic and echocardiographic profiles, and had a lower vasoactive-inotropic score at shock onset. Bleeding, hemorrhagic stroke, hemolysis in patients with mechanical circulatory support, and acute kidney injury requiring renal replacement therapy were less common compared with patients who died or received advanced HF therapies. After multivariable adjustments, clinical variables associated with NHS likelihood included younger age, history of systemic hypertension, absence of cardiac arrest or acute kidney injury requiring renal replacement therapy, lower pulmonary capillary wedge pressure and vasoactive-inotropic score, and higher tricuspid annular plane systolic excursion at shock onset (all P<0.05). By studying contemporary patients with ADHF-CS, we identified clinical factors that can inform clinical management and provide future research targets. Right ventricular function, renal function, pulmonary artery catheter placement, and type and timing of temporary mechanical circulatory support warrant further investigation to improve outcomes of this devastating condition.

Pre-existing cardiovascular disease in the intensive care population: a national data study in scotland

Abstract Introduction/Background Each year, nearly 17,000 patients are admitted to Intensive Care Units (ICU) in Scotland. Forty percent of these patients suffer from one or more pre-existing co-morbidity. Pre-existing co-morbid disease is a known risk factor for readmission to ICU, increased healthcare use, protracted recovery and reduced health-related quality of life. Nonetheless, it is unknown which group of patients is most affected. Given the heterogeneity of the ICU population and in consideration of more "targeted" care, understanding the influence of co-morbidities and identification of specific patient groups is necessary. In tandem, the association between cardiovascular disease and critical illness is under researched. Yet it is known that 20% of ICU patients suffer from cardiovascular disease (CVD), with some evidence to suggest CVD is linked to increased 5-year mortality in this group of patients. Purpose To understand the prevalence of pre-existing CVD and other pre-existing co-morbidities in the critically ill population and to determine the influence of pre-existing CVD on hospital readmission rates (within one year of index hospital discharge). Methods This study is a retrospective cohort analysis using routinely collected data on ICU admissions between 2010 and 2019 in Scotland. Following public benefit and privacy panel (PBPP) approval and university integrity committee review, data was accessed via a secure National Safe Haven platform. Demographic data are presented alongside correlation analysis. Results More than 100,000 patients were admitted to ICU between 2010 and 2019. Of these patients, around 10% suffered from pre-existing CVD, with 30% suffering from any co-morbid disease, as defined by Charlson Co-morbidity index. It was identified that around 10% of ICU patients were readmitted to ICU within one year and a further 20% readmitted to hospital within one year. Of those patients readmitted to ICU, 10% suffer from pre-existing CVD. Conclusion This study identified that CVD is prevalent amongst the critically ill population with many experiencing a further admission to ICU. Despite this, little is known about the follow-up care provided to these patients with regards to managing CVD.

Complete versus incomplete revascularization in patients with a non-ST-elevation myocardial infarction: Analysis from the e-ULTIMASTER registry

BackgroundIncomplete revascularization (ICR) has been associated with a worse prognosis after a percutaneous coronary intervention (PCI). In NSTEMI patients with multivessel disease (MVD) however, the benefit of a complete revascularization (CR) remains unclear. MethodsPatients presenting with an NSTEMI and MVD were selected from the global e-ULTIMASTER registry and grouped according to completeness of revascularization at index hospitalization discharge. The primary endpoint was the patient oriented composite endpoint (POCE) defined as all death, any myocardial infarction, and any revascularization at 1 year. Target lesion failure (TLF) was defined as the composite of cardiac death, target vessel related myocardial infarction and clinically driven target lesion revascularization. Inverse propensity score weighting (IPSW) was performed to harmonize the patient's baseline characteristics between the groups. ResultsCR was achieved in 1800 patients (47.0 %) and ICR in 2032 patients (53.0 %). The incidence of POCE at 1 year was lower in the CR group compared to the ICR group: 7.0 % vs. 12.9 %, p < 0.0001. Similarly for TLF at 1 year: 3.6 % vs. 5.5 %, p < 0.01. After IPSW, the incidence of POCE was 7.7 % vs. 12.0 %, p < 0.0001, due to a lower all-cause mortality: 2.7 % vs. 4.2 %, p = 0.02 and less revascularizations: 4.9 % vs. 7.9 %, p < 0.001. The incidence of TLF was no longer statistically significant: CR 3.9 % vs. IR 5.0 %, p = 0.10. ConclusionsPatients with a NSTEMI and multi vessel disease undergoing a percutaneous coronary revascularization with a complete revascularization during index hospitalization have better 1-year clinical outcomes. Randomized studies are warranted to confirm these results.

Premature Acute Myocardial Infarction Treated With Invasive Revascularization: Comparing STEMI With NSTEMI in a Population-Based Study of Young Patients

BackgroundAcute myocardial infarction (AMI) usually presents in older populations, in which there are established demographic and outcome differences for ST-elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI). No similar comparisons for AMI in the young population exist. MethodsWe compared all index NSTEMI and STEMI hospitalizations in young (18-45 years) patients who required revascularization in Alberta, Canada. Outcomes were survival to discharge, and a composite of heart failure hospitalization, cardiac arrest hospitalization, and all-cause mortality at 1 and 5 years. ResultsThere were 1679 patients included with an index AMI who required revascularization: 655 (39.0%) NSTEMI and 1024 (61.0%) STEMI. The population was disproportionately male (86%), particularly in STEMI patients (87.3%). Marked dyslipidemia (35%) and active smoking (42%) were common, with similar rates among groups. Percutaneous coronary intervention was used in 98.7% of STEMI and 91.5% of NSTEMI patients (P < 0.001), with the remainder who underwent surgical revascularization. The in-hospital mortality rate during index AMI was higher in STEMI compared with NSTEMI patients (1.7% vs 0%; P < 0.001). The rates of the composite outcome were similar for both groups at 1 and 5 years of follow-up in patients who survived to index hospital discharge. After adjusting for sex, age, heart failure and/or cardiac arrest at index AMI, outcomes remained similar among groups at 1 and 5 years. ConclusionsIn young patients with AMI, STEMI was a disproportionately male phenomenon and associated with higher mortality at index hospitalization. One-year and 5-year outcomes were similar among STEMI and NSTEMI patients in those discharged alive at index AMI. Smoking and dyslipidemia appear to be major risk factors in the young.

The burden of readmissions after rib fractures among older adults

BackgroundThe index hospitalization morbidity and mortality of rib fractures among older adults (aged ≥65 years) is well-known, yet the burden and risks for readmissions after rib fractures in this vulnerable population remain understudied. We aimed to characterize the burdens and etiologies associated with 3-month readmissions among older adults who suffer rib fractures. We hypothesized that readmissions would be common and associated with modifiable etiologies. MethodsThis survey-weighted retrospective study using the 2017 and 2019 National Readmissions Database evaluated adults aged ≥65 years hospitalized with multiple rib fractures and without major extrathoracic injuries. The main outcome was the proportion of patients experiencing all-cause 3-month readmissions. We assessed the 5 leading principal readmission diagnoses overall and delineated them by index hospitalization discharge disposition (home or facility). Sensitivity analysis using clinical classification categories characterized readmissions that could reasonably represent rib fracture-related sequelae. ResultsIn 2017, 25,092 patients met the inclusion criteria, with 20% (N = 4,894) experiencing 3-month readmissions. Six percent of patients did not survive their readmission. The 5 leading principal readmission diagnoses were sepsis (many associated with secondary diagnoses of pneumonia [41%] or urinary tract infections [41%]), hypertensive heart/kidney disease, hemothorax, pneumonia, and respiratory failure. In 2019, a comparable 3-month readmission rate of 23% and identical 5 leading diagnoses were found. Principal readmission diagnosis of hemothorax was associated with the shortest time to readmission (median [interquartile range]:9 [5–23] days). Among patients discharged home after index hospitalization, pleural effusion–possibly representing mischaracterized hemothorax–was among the leading principal readmission diagnoses. Some patients readmitted with a principal diagnosis of hemothorax or pleural effusion had these diagnoses at index hospitalization; a lower proportion of these patients underwent pleural fluid intervention during index hospitalization compared with readmission. On sensitivity analysis, 30% of 3-month readmissions were associated with principal diagnoses suggesting rib fracture-related sequelae. ConclusionReadmissions are not infrequent among older adults who suffer rib fractures, even in the absence of major extrathoracic injuries. Future studies should better characterize how specific complications associated with readmissions, such as pneumonia, urinary tract infections, and delayed hemothoraces, could be mitigated.

Sleep after discharge: A northwest regional burn model system cohort study of burn subjects in a home-based virtual rehabilitation randomized trial

IntroductionMajor burns and the intensive care required induce numerous physiologic changes and stress responses that impact recovery for months after hospital discharge. Little is known about sleep quantity and quality after index hospitalization discharge. We report on actigraphy and sleep outcome data from subjects enrolled in a prospective trial of home-based virtual rehabilitation (HBVR) after burn injury. MethodsWe conducted a randomized controlled trial of a HBVR program over 12 weeks after index hospitalization. In both HBVR and control (usual care) groups, subjects were provided a wrist actigraphy accelerometer device (Garmin vívofit®) to wear. Sleep data were retrieved remotely and analyzed. Actigraphy data were defined a priori as complete if subjects had 5 out of 7 days of actigraphy wear in a week. Average weekly sleep was calculated and reported by group assignment. Sleep-relevant and fatigue outcomes were measured by PROMIS questionnaires at randomization (discharge + 0–30 days), 12-weeks, and 12-months. Descriptive statistics were used for comparisons and linear mixed effect model were used to evaluate trends in PROMIS T-scores between groups. ResultsFifty subjects were enrolled and 48 had complete sleep data. Mean age was 38 ± 14 years and mean burn size was 16 ± 13 % TBSA with a majority of subjects male (71 %). Average sleep duration was within general population norms, with little difference between subjects in the intervention and controls groups in the 12 weeks after study randomization (7.3 vs.7.2 h respectively, p = 0.25). Subjects in control group spent more time in light sleep (4.1 vs. 3.9 h, p < 0.01) and experienced a higher proportion of nights with sleep disturbances (0.75 vs. 0.70, p = 0.006). Thirty-two subjects (66 %) completed PROMIS questionnaires at both time of randomization and following the 12-week intervention period. Average PROMIS sleep disturbance T-scores were not significantly different at 3-months. The control group had significant improvement in average PROMIS T-scores at 3-months compared to the HBVR group (p = 0.015). PROMIS scores trended towards improvement over the 12-month study period for both groups. ConclusionsActigraphy data complement self-reported sleep data among burn-injured adults after hospital discharge. People with burn injury had mildly increased sleep disturbance, sleep impairment, and fatigue after hospital discharge but trended toward population norms over time.

Association of Paroxysmal Versus Persistent Atrial Fibrillation with In-hospital Outcomes and 30-day Readmission After Inpatient Atrial Fibrillation Ablation.

Knowledge of the impact of paroxysmal and persistent atrial fibrillation (AF) after catheter ablation on in-hospital outcomes and 30-day readmission remains limited. This study aimed to evaluate the procedural outcomes and 30-day readmission rates among patients with paroxysmal or persistent AF who were hospitalized for AF ablation. Using the Nationwide Readmissions Database, our study included patients aged ≥18 years with AF who were hospitalized and underwent catheter ablation during 2017-2020. Then, we compared the in-hospital procedural outcomes and 30-day readmission rates between patients with paroxysmal and persistent AF, respectively. Our study included 7310 index admissions for paroxysmal AF ablation and 9179 index admissions for persistent AF ablation. According to our analysis, there was no significant difference in procedural complications-namely, cerebrovascular accident, vascular complications, major bleeding requiring blood transfusion, phrenic nerve palsy, pericardial complications, and systemic embolization-between the persistent and paroxysmal AF groups. There was also no significant difference in early mortality between these groups (0.5% vs. 0.7%; P = .22). Persistent AF patients had significantly higher rates of prolonged index hospitalization (9.9% vs. 7.2%; P < .01) and non-home discharge (4.8% vs. 3.1%; P < .01). The 30-day readmission rates were comparable in both groups (10.0% vs. 9.5%; P = .34), with recurrent AF and heart failure being two of the most common causes of cardiac-related readmissions. Catheter ablation among hospitalized patients with paroxysmal or persistent AF resulted in no significant difference in procedural complications, early mortality, or 30-day readmission. This suggests that catheter ablation of AF can be performed with a relatively similar safety profile for both paroxysmal and persistent AF.

IMPACT OF DISCHARGE FROM A CARDIOLOGY UNIT ON OUTCOMES IN NON–ST ELEVATION MYOCARDIAL INFARCTION: AN ANALYSIS OF A NATIONWIDE ADMINISTRATIVE DATABASE

Abstract Background Current data on the prognostic impact of a specialist management of patients with acute coronary syndromes are scarce. Aim To evaluate the impact of the discharge of revascularized patients with Non–ST elevation myocardial infarction (NSTEMI) from a cardiology unit on their 1–year prognosis and to evaluate the differences in terms of effectiveness between discharge from a cardiology and non–cardiology unit and the whole management of the index hospitalization in a cardiology unit. Methods Retrospective nationwide cohort study enrolling consecutive patients older than 18 years admitted in 2019–2020 in Italy for a NSTEMI and undergoing percutaneous coronary intervention (PCI) within 48 hours from the index admission. Patients died within 30 days from the index admission were excluded from the analysis. Enrolled patients were classified based on the management department into: patients not discharged from a cardiology unit (group 1); patients not admitted but discharged from a cardiology unit (group 2); patients completely managed (admitted and discharged) in a cardiology unit (group 3). The outcome of interest was 1–year all–cause mortality. A Cox multivariate regression model was used to evaluate the impact of the management department on 1–year mortality. Results The study cohort consisted of 31950 NSTEMI events. Among them, 534 (1.6%) were allocated in group 1, 1160 (3.6%) in group 2 and 30256 (94.7%) in group 3. Patients completely managed by a cardiology unit were younger and less likely to be female than patients in other groups. The 1–year mortality was 14.4%, 8.4% and 3.8% (p&amp;lt;0.001) for group 1, group 2 and group 3, respectively (Figure). After adjustment for age, sex, and comorbidities, the hazard ratio (HR) for 1–year mortality was 2.4 (p&amp;lt;0.0001) and 1.7 (p&amp;lt;0.0001), in patients in group 1 and group 2, respectively, as compared with patients completely managed in a cardiology unit (group 3). Conclusion Complete management of index hospitalization or hospital discharge from a specialist unit alone improves the one–year prognosis of patients hospitalized with a diagnosis of NSTEMI in Italy.

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.

Is the long-term poor prognosis of acute myocardial infarction in patients with mental illness mediated through their poor adherence with recommended healthcare?

Compared with patients without evidence of psychiatric symptoms, those with mental disorders experience reduced adherence with recommended healthcare and poorer clinical outcomes. This study aimed to evaluate whether the worse prognosis of patients with mental disorders after experiencing acute myocardial infarction could be fully or partially mediated by their reduced adherence to recommended healthcare. In this retrospective cohort population-based study, 103 389 residents in the Italian Lombardy Region who experienced acute myocardial infarction in 2007-19 were identified. Among them, 1549 patients with severe mental illness (SMI) were matched with five cohort members without evidence of mental disorders (references). Recommended healthcare (cardiac medicaments and selected outpatient services) was evaluated in the year after the date of index hospital discharge. The first occurrences of cardiovascular (CV) hospital admissions and any-cause-death were considered as endpoints. Mediation analysis was performed to investigate whether post-discharge use of recommended healthcare may be considered a mediator of the relationship between healthcare exposure and endpoints occurrence. Compared with references, patients with SMI had lower adherence with recommended healthcare and adjusted risk excesses of 39% and 73% for CV hospitalizations and all-cause mortality. Mediation analysis showed that 4.1% and 11.3% of, respectively, CV hospitalizations and deaths occurred among psychiatric patients was mediated by their worse adherence to specific healthcare. The reduced use of recommended outpatient healthcare by patients with SMI had only a marginal effect on their worse prognosis. Other key factors mediating the prognostic gap between patients with and without mental disorders should be investigated.

Outcome and Sequelae of Autoimmune Encephalitis.

Autoimmune etiologies are a common cause for encephalitis. The clinical syndromes consistent with autoimmune encephalitis are both distinct and increasingly recognized, but less is known about persisting sequelae or outcomes. We searched PubMed for reports on outcomes after autoimmune encephalitis. Studies assessing validated, quantitative outcomes were included. We performed a narrative review of the published literature of outcomes after autoimmune encephalitis. We found 146 studies that produced outcomes data. The mortality rates were 6%-19% and the relapse risks were 10%-62%. Most patients achieved a good outcome based on a score on the modified Rankin Scale (mRS) of ≤2. Forty-nine studies evaluated outcomes beyond mRS; these studies investigated cognitive outcome, psychiatric sequelae, neurological deficits, global function, and quality-of-life/patient-reported outcomes using various tools at varying time points after the index hospital discharge. These more-detailed assessments revealed that most patients had persistent impairments, with frequent deficits in cognitive function, especially memory and attention. Depression and anxiety were also common. Many of these sequelae continued to improve over months or even years after the acute illness. While we found that lasting impairments were common among survivors of autoimmune encephalitis, additional research is needed to better understand the nature and impact of these sequelae. Standardized evaluation protocols are needed to improve the ability to compare outcomes across studies, guide rehabilitation strategies, and inform outcomes of interest in treatment trials as the field advances.

Abstract 12237: All-Cause and Cause-Specific 30-day Readmission After Left Ventricular Assist Device Implantation: Comparing the HeartMate 3 vs Pre-HeartMate 3 Eras

Introduction: In recent years, the HeartMate 3 (HM3) has become the most commonly implanted left ventricular assist device (LVAD) for patients with end-stage HF in the United States. We assessed 30-day readmission rates and leading causes of readmission for patients newly receiving an LVAD in the pre-HM3 era compared to the HM3 era. Methods: Using the Nationwide Readmission Database (NRD), all adult admissions (age ≥18) with LVAD implantation from October 2015 - December 2020 were identified. Admissions were excluded if the patient had: died while inpatient, missing data for age, sex, or mortality, transferred to another acute care facility or December admission. Multivariable Cox regression analysis with all-cause and cause-specific readmission within 30 days as the ‘failure event’ and time from index hospitalization discharge to failure event as the ‘time to failure event’ was analyzed. Based on the timing of initial FDA approval of HM3, the study period was divided into two eras: 2015-2017 was defined as the pre-HM3 era and 2019-2020 as the HM3 era. The year 2018 was deemed the transition period and excluded from the analysis. Results: Among 13,867 hospitalizations for LVAD implantations, 57.6% of index hospitalizations were during the pre-HM3 era (mean age= 56 years, men= 77.2%), and 42.4% were during the HM3 era (mean age= 56 years, men= 76.6%). Hazards of 30-day all-cause readmissions were similar in the two eras (Figure 1 Panel A) . LVAD implantation in the HM3 era was associated with lower risks of 30-day readmission with a gastrointestinal (GI) bleed or pump thrombosis and a higher risk of 30-day readmission with an acute kidney injury (AKI) compared to the pre-HM3 era ( Figure 1 Panel B). Conclusion: There was no significant difference in risk of 30-day all-cause readmission after LVAD implantation in the HM 3 and Pre-HM 3 eras. However, implant in the HM3 era was associated with lower risk of readmission with GI bleed and pump thrombosis and higher risk of readmission with AKI.

Atypical Hemolytic Uremic Syndrome (aHUS) Clinical Characteristics and Treatment Patterns Associated with Readmission after Index Hospitalization

Introduction Atypical hemolytic uremic syndrome (aHUS) is associated with dysregulation of the alternative complement pathway and causes significant morbidity and mortality when undiagnosed or inappropriately treated. C5 inhibitors (C5i) improve thrombotic microangiopathy (TMA) response and renal recovery, but significant morbidity may remain. This study described the clinical characteristics and treatment patterns associated with readmission after index hospitalization using real-world evidence from one of the largest, most diverse cohorts of presumed incident aHUS in the United States (US). Methods This was a retrospective cohort study of 634 incident cases among hospitalized adult patients with presumed aHUS derived from the US Premier Healthcare Database, an electronic healthcare records database that contains ~25% of all US hospitalizations (January 1, 2011-June 30, 2021). aHUS was defined as the presence of an International Classification of Diseases (ICD)-9-CM/ICD-10-CM diagnostic code for TMA (446.6, M31.1, M31.10, M31.19) or HUS (283.11, D59.3) and a treatment code (standard charge, HCPCS, ICD-10-PCS) for a C5i, in the absence of a diagnostic code for secondary causes of TMA/HUS or other C5i indications. The proportion of patients readmitted following the index hospitalization was assessed at 30 days and 365 days following discharge, among other timepoints. The time from index hospitalization discharge to all-cause hospital readmission was defined as the number of days from the discharge date of the index hospitalization to the date of all-cause readmission. Readmission for aHUS was defined as a hospitalization lasting ≥2 days to avoid the inclusion of in-hospital infusion clinic visits for C5i treatment. Demographic and clinical characteristics were analyzed using a t-test, Wilcoxon rank test, Fisher's exact test, or Chi-squared test, as appropriate. Results Overall, 78/634 patients (12.3%) died during index hospitalization. Among the 556 patients who survived until discharge, 23.4% and 39.7% had a readmission within 30 days and 365 days, respectively. During the first 365 days, 20.1% of patients required multiple hospitalizations. The median time to first readmission was 27.5 days (interquartile range [IQR]: 9-102 days). Infection was a common cause of readmission (25.6%). Readmission within either 30 or 365 days was associated with longer median time between index admission and therapeutic plasmapheresis (TPE) (3 vs 2 days, p=0.0002, and 3 vs 2 days, p&amp;lt;0.0001, respectively), longer median time between index admission and C5i (10 vs 8 days, p=0.0441, and 10 vs 8 days, p=0.0005, respectively), and longer median time between index admission and renal replacement therapy (RRT; 4 vs 2 days, p=0.0030, and 3 vs 2 days, p=0.0053, respectively). Only readmission within 365 days was associated with median age (52 vs 46 years of age, p=0.0124) or a history of hypertension (80.5% vs 64.5%, p&amp;lt;0.0001), atrial fibrillation (9.5% vs 4.8%, p=0.0363), or heart failure (21.7% vs 14.6%, p=0.0395) at index hospitalization. Readmission within 30 or 365 days was not associated with sex, race, ethnicity, insurance type, geographical region, hospital size or location (rural vs urban), diabetes, chronic kidney disease, myocardial infarction history, TPE, TPE duration, corticosteroids (CS), CS duration, time to CS, RRT requirement, or TMA remission at discharge. Conclusions aHUS readmission rates remain high, despite treatment with C5i, and infection is a common cause of readmission. Delayed TPE, RRT, and C5i treatment for aHUS during index hospitalization, even if only for 1-2 days, were associated with increased readmission within 30 and 365 days. Future efforts should be made to examine the causal relationship between treatment delays and outcomes.

Preferred language and diagnostic errors in the pediatric emergency department.

To investigate the relationship between language and diagnostic errors (DxE) in the pediatric emergency department (ED). Electronic trigger identified ED encounters resulting in unplanned hospital admission that occurred within 10days of an index visit from January 2018 through February 2022. Manual screening of each triggered encounter identified cases where the index visit diagnosis and hospitalization discharge diagnosis differed, and these were screened in for review using the Revised Safer Dx instrument to determine if a diagnostic error (DxE) occurred. Non-English primary language (NEPL) and English-proficient (EP) groups were established based on caregiver language. The primary outcome was the proportion of DxE each group. Data were analyzed using univariate analysis and multivariable logistic regression to identify independent predictors of DxE. Electronic trigger identified 3,551 patients, of which 806 (22.7 %) screened in for Safer Dx review. 172 (21.3 %) experienced DxE. The proportion of DxE was similar between EP and NEPL groups (21.5 vs. 21.7 %; p=0.97). Age≥12 years and fewer prior admissions in the preceding 6months predicted higher odds of DxE. NEPL did not predict higher odds of DxE. NEPL was not associated with increased odds DxE resulting in unplanned admission.

Cost of treatment failure: Medicare spending on stroke for atrial fibrillation patients not receiving anticoagulation

BackgroundIt is well known that atrial fibrillation (AF) patients not receiving anticoagulants are at higher risk of Ischemic Stroke (IS). ObjectiveOur objective is to estimate how much the Medicare program spends during one-year treating a Medicare beneficiary (MB) with AF who were not being anticoagulated prior to or during their IS hospitalization. MethodsThis cross-sectional study population consisted of all MBs in the fee-for-service program who were discharged from a hospitalization for IS having AF during 2018. Patients were excluded for a prior history of stroke or already receiving long-term anticoagulants. Medicare spending was defined as paid claims during the index hospitalization and all facility claims that began within 12-months of the index hospital discharge date even if admission occurred in 2019. ResultsThe final sample was 50,509 MBs. Average Medicare Part A spending per beneficiary was $46,867 ± $49,212, for a total of nearly $2.5 billion. Highest average spending per MB was for hospital services $25,848, of which $15,790 ± $20,984 occurred during the index hospitalization, and $10,058 ± $21,956 for rehospitalization. The Medicare program average MB spending included $8131 ± $14,979 at skilled nursing facilities, $5538 ± $12,739 at rehabilitation facilities, and $3056 ± $7495 for outpatient facilities or emergency departments. ConclusionMBs with AF who are not treated with anticoagulants and then suffer an ischemic stroke result in one-year Medicare Part A program spending of approximately $47,000 per person compared to an average spending of approximately $12,800 per beneficiary in the Medicare program in 2018 [1]. Identification and anticoagulation treatment in AF could result in significant healthcare savings.

Trajectories of physical health-related quality of life among adults living with burn injuries: A burn model system national database investigation to improve early intervention and rehabilitation service delivery.

Understanding trajectories of recovery in key domains can be used to guide patients, families, and caregivers. The purpose of this study was to describe common trajectories of physical health over time and to examine predictors of these trajectories. Adults with burn injuries completed self-reported assessments of their health-related quality of life (HRQOL) as measured by the SF-12® Physical Component Summary (PCS) score at distinct time points (preinjury via recall, index hospital discharge, and at 6-, 12-, and 24 months after injury). Growth mixture modeling (GMM) was used to model PCS scores over time. Covariables included burn size, participant characteristics, and scores from the Community Integration Questionnaire (CIQ)/Social Integration portion, Satisfaction With Life Scale (SWLS), and Satisfaction With Appearance Scale (SWAP). Data from 939 participants were used for complete-case analysis. Participants were 72% male, 64% non-Hispanic White, with an average age of 44 years and an average burn size of 20% of total body surface area (TBSA). The best fitting model suggested three distinct trajectories (Class 1 through 3) for HRQOL. We titled each Class according to the characteristics of their trajectory. Class 1 (recovering; n = 632), Class 2 (static; n = 77), and Class 3 (weakened; n = 205) reported near average HRQOL preinjury, then reported lower scores at discharge, with Class 1 subsequently improving to preinjury levels and Class 3 improving but not reaching their preinjury quality of life. Class 3 experienced the largest decrease in HRQOL. Class 2 reported the lowest preinjury HRQOL and remained low for the next 2 years, showing minimal change in their HRQOL. These findings emphasize the importance of early universal screening and sustained intervention for those most at risk for low HRQOL following injury. For Class 2 (static), lower than average HRQOL before their injury is a warning. For Class 3 (weakened), if the scores at 6 months show a large decline, then the person is at risk for not regaining their HRQOL by 24 months and thus needs all available interventions to optimize their outcomes. Results of this study provide guidance for how to identify people with burn injury who would benefit from more intensive rehabilitation to help them achieve or regain better HRQOL. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Association between Peripartum Mean Arterial Pressure and Postpartum Readmission for Preeclampsia with Severe Features.

This study aimed to evaluate the relationship between peripartum mean arterial pressure (MAP) and postpartum readmission for preeclampsia with severe features. This is a retrospective case-control study comparing adult parturients readmitted for preeclampsia with severe features to matched nonreadmitted controls. Our primary objective was to evaluate the association between MAP at three time points during the index hospitalization (admission, 24-hour postpartum, and discharge) and readmission risk. We also evaluated readmission risk by age, race, body mass index, and comorbidities. Our secondary aim was to establish MAP thresholds to identify the population at highest risk of readmission. Multivariate logistic regression and chi-squared tests were used to determine the adjusted odds of readmission based on MAP. Receiver operating characteristic analyses were performed to evaluate risk of readmission relative to MAP; optimal MAP thresholds were established to identify those at highest risk of readmission. Pairwise comparisons were made between subgroups after stratifying for history of hypertension, with a focus on readmitted patients with new-onset postpartum preeclampsia. A total of 348 subjects met inclusion criteria, including 174 controls and 174 cases. We found that elevated MAP at both admission (adjusted odds ratio [OR]: 1.37 per 10 mm Hg, p < 0.0001) and 24-hour postpartum (adjusted OR: 1.61 per 10 mm Hg, p = 0.0018) were associated with increased risk of readmission. African American race and hypertensive disorder of pregnancy were independently associated with increased risk of readmission. Subjects with MAP > 99.5 mm Hg at admission or >91.5 mm Hg at 24-hour postpartum had a risk of at least 46% of requiring postpartum readmission for preeclampsia with severe features. Admission and 24-hour postpartum MAP correlate with risk of postpartum readmission for preeclampsia with severe features. Evaluating MAP at these time points may be useful for identifying women at higher risk for postpartum readmission. These women may otherwise be missed based on standard clinical approaches and may benefit from heightened surveillance. · Existing literature focuses on management of antenatal hypertensive disorders of pregnancy.. · Elevated peripartum MAP is associated with increased odds of readmission for preeclampsia.. · Peripartum MAP may predict readmission risk for de novo postpartum preeclampsia..

176 Use of Computed Assisted Neuronavigation During Spine Fusions and Long-term Health Care Utilization: An Exact Matched Analysis of National Administrative Database

INTRODUCTION: Computer assisted neuronavigation (CAN) during spine fusions has increasing being utilized in the United States. The impact of CAN on long-term health care utilization is not well defined. METHODS: MarketScan database were queried using the ICD-9/10 and CPT 4th edition, from 2003 to 2019. We included patients ≥ 18 of age who underwent spine fusions with at least 2 years follow-up. Outcomes were repeat fusions or new fusions, length of stay (LOS), discharge disposition, hospital re-admissions, outpatient services, and medication refills for up to 24 months following the index procedure. RESULTS: Of 183,620 patients who underwent spine fusions during the study years, 5046 (2.75%) were identified to have CAN used for the fusions. Exact matching was successful for 4861/5046 (96%) in the CAN group. CAN had no effect on LOS, home discharge, or complications at index hospitalization and 30-days post discharge. However, CAN was associated with a $7667 difference in median payments ($60501 vs $52834, p &lt; .0001). CAN was associated with lower rates of repeat fusions at 6-months (3% vs. 4%), 12 months (2% vs. 3%) and 24 months (5% vs. 6%) following the index procedure, p &lt; 0.05. Patients who underwent CAN had lower payments at 6 months ($5186 vs $5527, p: 0.0159), 12 months ($10267 vs $11262, p: 0.0207) and 24 months ($21453 vs $24355, p: 0.0021). CONCLUSIONS: CAN is increasing being used for spine fusions primarily for thoraco-lumbar procedures. No difference in complications, discharge disposition and LOS were noted across the cohorts at index hospitalization, with higher index payments with CAN use. CAN was associated with lower rates of repeat fusions and corresponding health care utilization for up-to 24 months following the index procedures compared to non-CAN cohort.

Food Insecurity, Neighborhood, and Health Care Utilization in Health System Adults

To (1) explore relationships among food insecurity, neighborhood disadvantage, and health care utilization in adults from a single health system and (2) determine whether food insecurity and neighborhood disadvantage predict acute health care utilization within 90 days of hospital discharge. A retrospective, correlational design with a single cohort. Data were analyzed from health system administrative billing databases, electronic health records, and publicly available population databases. Multivariable negative binomial regression was performed to assess the association between factors of interest and acute health care utilization within 90 days of index hospital discharge. In 41,566 records, 1.45% (n = 601) of patients reported food insecurity. The mean (SD) Area Deprivation Index score was 54.4 (26), indicating that the majority of patients lived in disadvantaged neighborhoods. Patients with food insecurity were less likely to have a provider office visit (P < .001) but were expected to have 2.1 times greater acute health care utilization within 90 days (incidence rate ratio [IRR], 2.12; 95% CI, 1.90-2.37; P < .001) compared with those without food insecurity. Living in a disadvantaged neighborhood had a small effect on acute health care utilization (IRR, 1.12; 95% CI, 1.08-1.17; P < .001). When considering social determinants of health for health system patients, food insecurity was a stronger predictor of acute health care utilization than was neighborhood disadvantage. Identifying patients with food insecurity and targeting appropriate interventions to high-risk populations may improve provider follow-up and acute health care utilization.