Non-elective Admissions Research Articles

Identifying and Predicting Risk for Hospital Admission among Patients with Parkinsonism.

Patients with parkinsonism are more likely than age-matched controls to be admitted to hospital. It may be possible to reduce the cost and negative impact by identifying patients at highest risk and intervening to reduce hospital-related costs. Predictive models have been developed in nonparkinsonism populations. The aims were to (1) describe the reasons for admission, (2) describe the rates of hospital admission/emergency department attendance over time, and (3) use routine data to risk stratify unplanned hospital attendance in people with parkinsonism. This retrospective cohort study used Clinical Practice Research Datalink GOLD, a large UK primary care database, linked to hospital admission and emergency department attendance data. The primary diagnoses for nonelective admissions were categorized, and the frequencies were compared between parkinsonism cases and matched controls. Multilevel logistic and negative binomial regression models were used to estimate the risk of any and multiple admissions, respectively, for patients with parkinsonism. There were 9189 patients with parkinsonism and 45,390 controls. The odds of emergency admission more than doubled from 2010 to 2019 (odds ratio [OR] 2.33; 95% confidence interval [CI] 1.96, 2.76; P-value for trend <0.001). Pneumonia was the most common reason for admission among cases, followed by urinary tract infection. Increasing age, multimorbidity, parkinsonism duration, deprivation, and care home residence increased the odds of admission. Rural location was associated with reduced OR for admission (OR 0.79; 95% CI 0.70, 0.89). Our risk stratification tool may enable empirical targeting of interventions to reduce admission risk for parkinsonism patients.

Incidence and risk factors of pain following breast cancer surgery: a retrospective national inpatient sample database study

BackgroundPostoperative pain (PP) is a dynamic process that reflects the complex interplay between symptoms, treatment, and patient experiences, and its intensity is reportedly primarily related to the severity of surgical trauma. However, no large-scale national database-based study has hitherto been conducted to assess the occurrence and features related to PP following breast cancer (BC) surgery.MethodsIn this retrospective analysis, we screened BC surgery cases between 2015 and 2019 within the National Inpatient Sample (NIS) Database, utilizing the International Classification of Diseases (ICD) 10th edition clinical modification codes. The researchers identified patients who developed PP and compared them to those who did not. Factors associated with PP were then screened: patient demographics (age and race), hospital characteristics (type of insurance, bed size, teaching status, type of admission, location, and hospital area), length of stay (LOS), total cost during hospitalization, inpatient mortality, comorbidities, and perioperative complications. Data were analyzed using descriptive statistics. Multivariate logistic regression analysis was used to determine the independent risk factors for postoperative pain in BC surgery.Results39,870 BC surgery cases were identified over a five-year period from 2015 to 2019. The overall occurrence of PP following breast cancer surgery was 6.15% (2,387 cases), with a slight upward trend every year. Significant racial disparities were observed, Whites associated with a higher incidence of PP (P < 0.001). In addition, the incidence of elective admission was 11.96% lower (67.491% vs. 79.451%) than that of patients without PP following breast cancer surgery (P < 0.001). Besides, PP was related to prolonged hospitalization duration (3 vs. 2 days; P < 0.001), and higher total cost ($68,283 vs. $60,036; P < 0.001). Multivariate logistic regression identified breast cancer surgery-independent risk factors for PP, including younger age, non-elective hospital admission, rural hospitals, depression, drug abuse, metastatic cancer, psychoses, weight loss, and chronic pulmonary disease. In addition, postoperative pain for BC was associated with urinary retention, gastrointestinal complications, continuous invasive ventilation, deep vein thrombosis, urinary tract infection, blood transfusion, arrhythmia, and chest pain.ConclusionDespite the low incidence of postoperative pain in BC surgery cases, it is essential to investigate factors predisposing to PP to allow optimal care management and improve the outcomes of this patient population.

Big data analysis reveals significant increases in complications, costs, and hospital stay in revision total knee arthroplasty compared to primary TKA.

Despite significant advancements in total knee arthroplasty (TKA), some patients require revision surgery (R-TKA) due to complications such as infection, mechanical loosening, instability, periprosthetic fractures, and persistent pain. This study aimed to explore the specific causes leading to R-TKA, associated complications, including infection, mechanical failure, and wound issues, as well as costs, mortality rates, and hospital length of stay (LOS) using data from a large national database. Data from the nationwide inpatient sample (NIS), the largest publicly available all-payer inpatient care database in the United States were analysed from 1 January 2016 to 31 December 2019. The study included 44,649 R-TKA cases, corresponding to 223,240 patients, with exclusions for nonelective admissions. Various statistical analyses were used to assess clinical outcomes, including in-hospital mortality, postoperative complications, LOS, and hospitalization costs. Among 2,636,880 TKA patients, 8.4% underwent R-TKA. R-TKA patients had higher rates of chronic conditions, including mental disorders (36.4%) and renal disease (9.9%). Additionally, these patients often experienced instability, necessitating revision surgery. Infection (22.3%) was the primary reason for R-TKA, followed by mechanical loosening (22.9%) and instability. Compared to primary TKA patients, R-TKA patients exhibited higher in-hospital mortality (0.085% vs. 0.025%), longer LOS (3.1 vs. 2.28 days), and higher total charges ($97,815 vs. $62,188). Postoperative complications, including blood transfusion (4.6% vs. 1.3%), acute kidney injury (4.4% vs. 1.8%), venous thromboembolism (0.55% vs. 0.29%), infection, and wound problems, were significantly higher in R-TKA patients. This study provides detailed insights into t LOS, costs, and complications associated with specific etiologies of revision TKA. Our findings emphasize the need for targeted preoperative optimization and patient education. This approach can help reduce the incidence and burden of R-TKA, improve patient care, optimize resource allocation, and potentially decrease the overall rates of complications in revision surgeries. Level III.

Application of Community Detection Methods to Identify Emergency General Surgery–Specific Regional Networks

There is growing interest in developing coordinated regional systems for nontraumatic surgical emergencies; however, our understanding of existing emergency general surgery (EGS) care communities is limited. To apply network analysis methods to delineate EGS care regions and compare the performance of this method with the Dartmouth Health Referral Regions (HRRs). This cross-sectional study was conducted using the 2019 California and New York state emergency department and inpatient databases. Eligible participants included all adult patients with a nonelective admission for common EGS conditions. Interhospital transfers (IHTs) were identified by transfer indicators or temporally adjacent hospitalizations at 2 different facilities. Data analysis was conducted from January to May 2024. Admission for primary EGS diagnosis. Regional EGS networks (RENs) were delineated by modularity optimization (MO), a community detection method, and compared with the plurality-based Dartmouth HRRs. Geographic boundaries were compared through visualization of patient flows and associated health care regions. Spatial accuracy of the 2 methods was compared using 6 common network analysis measures: localization index (LI), market share index (MSI), net patient flow, connectivity, compactness, and modularity. A total of 1 244 868 participants (median [IQR] age, 55 [37-70 years]; 776 725 male [62.40%]) were admitted with a primary EGS diagnosis. In New York, there were 405 493 EGS encounters with 3212 IHTs (0.79%), and 9 RENs were detected using MO compared with 10 Dartmouth HRRs. In California, there were 839 375 encounters with 10 037 IHTs (1.20%), and 14 RENs were detected compared with 24 HRRs. The greatest discrepancy between REN and HRR boundaries was in rural regions where one REN often encompassed multiple HRRs. The MO method was significantly better than HRRs in identifying care networks that accurately captured patients living within the geographic region as indicated by the LI and MSI for New York (mean [SD] LI, 0.86 [1.00] for REN vs 0.74 [1.00] for HRR; mean [SD] MSI, 0.16 [0.13] for REN vs 0.32 [0.21] for HRR) and California (mean [SD] LI, 0.83 [1.00] for REN vs 0.74 [1.00] for HRR; mean [SD] MSI, 0.19 [0.14] for REN vs 0.39 [0.43] for HRR). Nearly 27% of New York hospitals (37 of 139 hospitals [26.62%]) and 15% of California hospitals (48 of 336 hospitals [14.29%]) were reclassified into a different community with the MO method. Development of optimal health delivery systems for EGS patients will require knowledge of care patterns specific to this population. The findings of this cross-sectional study suggest that network science methods, such as MO, offer opportunities to identify empirical EGS care regions that outperform HRRs and can be applied in the development of coordinated regional systems of care.

A lifetime economic model of mortality and secondary care use for patients discharged from hospital following acute stroke.

The long-term health-economic consequences of acute stroke are typically extrapolated from short-term outcomes observed in different studies, using models based on assumptions about longer-term morbidity and mortality. Inconsistency in these assumptions and the methods of extrapolation can create difficulties when comparing estimates of life-time cost-effectiveness of stroke care interventions. To develop a long-term model consisting of a set of equations to estimate the life-time effects of stroke care interventions to promote consistency in extrapolation of short-term outcomes. Data about further admissions and mortality was provided for acute stroke patients discharged between 2013 and 2014 from a large English service. This was combined with data from UK life tables to create a set of parametric equations in a model that use age, sex, and modified Rankin Scores to predict the life-time risk of mortality and secondary care resource utilisation including ED attendances, non-elective admissions, and elective admissions. A cohort of 1,509 (male 51%; mean age 74) stroke patients had median follow-up of seven years and represented 7,111 post-discharge patient years. A logistic model estimated mortality within twelve months of discharge and a Gompertz model was used over the remainder of the lifetime. Hospital attendances were modelled using a Weibull distribution. Non-elective and elective bed days were both modelled using a log-logistic distribution. Mortality risk increased with age, dependency, and male sex. Although the overall pattern was similar for resource utilisation, there were different variations according to dependency and gender for ED attendances and non-elective/elective admissions. For example, 65-year-old women with a discharge mRS of 1 would gain an extra 6.75 life years compared to 65-year-old women with a discharge mRS of 3. Over their lifetime, 65-year-old women with a discharge mRS of 1 would experience 0.09 less ED attendances, 2.12 less non-elective bed days and 1.28 additional elective bed days than 65-year-old women with a discharge mRS of 3. Using long-term follow-up publicly available data from a large clinical cohort, this new model promotes standardised extrapolation of key outcomes over the life course, and potentially can improve the real-world accuracy and comparison of long-term cost-effectiveness estimates for stroke care interventions. Data is available upon reasonable request from third parties.

Early versus delayed necrosectomy in pancreatic necrosis: A population-based cohort study on readmission, healthcare utilization, and in-hospital mortality.

Acute necrotizing pancreatitis is a severe and life-threatening condition. It poses a considerable challenge for clinicians due to its complex nature and the high risk of complications. Several minimally invasive and open necrosectomy procedures have been developed. Despite advancements in treatment modalities, the optimal timing to perform necrosectomy lacks consensus. To evaluate the impact of necrosectomy timing on patients with pancreatic necrosis in the United States. A national retrospective cohort study was conducted using the 2016-2019 Nationwide Readmissions Database. Patients with non-elective admissions for pancreatic necrosis were identified. The participants were divided into two groups based on the necrosectomy timing: The early group received intervention within 48 hours, whereas the delayed group underwent the procedure after 48 hours. The various intervention techniques included endoscopic, percutaneous, or surgical necrosectomy. The major outcomes of interest were 30-day readmission rates, healthcare utilization, and inpatient mortality. A total of 1309 patients with pancreatic necrosis were included. After propensity score matching, 349 cases treated with early necrosectomy were matched to 375 controls who received delayed intervention. The early cohort had a 30-day readmission rate of 8.6% compared to 4.8% in the delayed cohort (P = 0.040). Early necrosectomy had lower rates of mechanical ventilation (2.9% vs 10.9%, P < 0.001), septic shock (8% vs 19.5%, P < 0.001), and in-hospital mortality (1.1% vs 4.3%, P = 0.01). Patients in the early intervention group incurred lower healthcare costs, with median total charges of $52202 compared to $147418 in the delayed group. Participants in the early cohort also had a relatively shorter median length of stay (6 vs 16 days, P < 0.001). The timing of necrosectomy did not significantly influence the risk of 30-day readmission, with a hazard ratio of 0.56 (95% confidence interval: 0.31-1.02, P = 0.06). Our findings show that early necrosectomy is associated with better clinical outcomes and lower healthcare costs. Delayed intervention does not significantly alter the risk of 30-day readmission.

Disparities in outcomes of colorectal cancer surgery among adults with intellectual and developmental disabilities.

Disparities in colorectal cancer screening have been documented among people with intellectual and developmental disabilities (IDD). However, surgical outcomes in this population have yet to be studied. The present work aimed to evaluate the association of IDD with outcomes following colorectal cancer resection. All adults undergoing resection for colorectal cancer in the 2011-2020 National Inpatient Sample were identified. Multivariable linear and logistic regression models were developed to examine the association of IDD with risk factors as well as outcomes including mortality, complications, costs, length of stay (LOS), and non-home discharge. The study is limited by its retrospective nature and did not capture disease staging or time of diagnosis. Among 722,736 patients undergoing colorectal cancer resection, 2,846 (0.39%) had IDD. Compared to patients without IDD, IDD patients were younger and had a higher burden of comorbidities. IDD status was associated with increased odds of non-elective admission (AOR 1.40 [95% CI 1.14-1.73]) and decreased odds of treatment at high-volume centers (AOR 0.64 [95% CI 0.51-0.81]). Furthermore, IDD patients experienced significantly greater LOS (9 vs 6 days, p<0.001) and hospitalization costs ($23,500 vs $19,800, p<0.001) relative to neurotypical patients. Upon risk adjustment, IDD was significantly associated with 2-fold increased odds of mortality (AOR 2.34 [95% CI 1.48-3.71]), 1.4-fold increase in complications (AOR 1.41 [95% CI 1.15-1.74]), and 6.8-fold increase in non-home discharge (AOR 6.83 [95% CI 5.46-8.56]). IDD patients undergoing colorectal cancer resection experience increased likelihood of non-elective admission, adverse clinical outcomes, and resource use. Our findings highlight the need for more accessible screening and patient-centered interventions to improve quality of surgical care for this at-risk population.

Predictors of inpatient mortality following reverse shoulder arthroplasty.

The number of reverse shoulder arthroplasties (RSA) performed each year is growing rapidly, especially in elderly patients and with expanded indications including geriatric proximal humerus fractures. As the elderly population grows and the number of RSA's annually continues to rise, there will be a proportionate number of adverse events and mortality. However, the rate of early mortality has consistently shown to be less than 1%, so a large-scale analysis of possible risk factors for post-operative mortality is warranted. A retrospective multivariate analysis of 59,915 patients from the National Inpatient Sample database between 2016 and 2019 was performed. Patients who underwent RSA were identified based on ICD-10 code. Patients were divided into two groups, early mortality and no mortality. Early mortality was defined as those who died within the same admission. Patient demographics and medical comorbidities were evaluated. Hospital admission status was classified as elective or non-elective. Odds ratios for predictive variables were measured as a ratio of incidence between the early mortality and no mortality groups. The overall incidence of inpatient mortality was 0.07%. The incidence of mortality for elective admissions was 0.04% and for non-elective admissions was 0.34%. On univariate analysis, age greater than 75 years (p < 0.001), octogenarians (p < 0.001), nonagenarians (p < 0.001), and non-elective admission (p < 0.001) were associated with early mortality following RSA. Upon multivariate analysis, age greater than 75 years old had 4 times the odds of early mortality following RSA (OR 4.20; 95%CI (1.67, 10.60); p < 0.001) while non-elective admission had about 5 times the odds (OR 5.38; 95%CI (2.75, 10.53); p < 0.001). Age greater than 75 years old has 4-fold higher odds and non-elective admission has 5-fold higher odds of early mortality following RSA. Appropriate pre-operative counseling should be performed with elderly patients and those undergoing non-elective indications for RSA.

Incidence and related risk factors for postoperative delirium following revision total knee arthroplasty: a retrospective nationwide inpatient sample database study.

Postoperative delirium (POD) is a common surgical complication. However, the incidence and risk factors associated with postoperative delirium after revision total knee arthroplasty (rTKA) have not been comprehensively explored through extensive national databases. Utilizing the National Inpatient Sample (NIS), the largest comprehensive U.S. hospital healthcare database, we undertook a retrospective investigation involving 127,400 patients who underwent rTKA between 2010 and 2019. We assessed various aspects, including patient demographics, hospital characteristics, pre-existing medical conditions, and perioperative complications. The overall incidence of postoperative delirium (POD) in patients undergoing rTKA between 2010 and 2019 was 0.97%. The highest incidence rate of 1.31% was recorded in 2013. Notably, this patient cohort demonstrated advanced age, increased burden of co-morbidities, prolonged hospital stays, increased hospitalization costs, and elevated in-hospital mortality rates (P < 0.001). Moreover, non-elective admissions, non-private insurance payments, and a preference for teaching hospitals were commonly observed among these patients. During their hospitalization, individuals who developed delirium subsequent to rTKA were more prone to experiencing certain perioperative complications. These complications encompassed medical issues like acute myocardial infarction, continuous invasive mechanical ventilation, postoperative shock, sepsis, stroke and other medical problems. Additionally, surgical complications including hemorrhage / seroma / hematoma, irrigation and debridement, prosthetic joint infection, periprosthetic fracture, and wound dehiscence / nonunion were noted. Several risk factors were found to be linked with the development of POD. These included advanced age (≥ 75years), alcohol abuse, coagulation disorders, congestive heart failure, depression, fluid and electrolyte imbalances, and more. Conversely, female sex, having private insurance, and undergoing elective hospitalization emerged as protective factors against POD. Our findings suggest that the general prevalence of POD in rTKA is relatively low according to NIS. There was a significant connection between the POD of rTKA and advanced age, prolonged length of stay (LOS), more in-patients' costs, higher in-hospital mortality rate, increased comorbidities, postoperative medical complications and postoperative surgical complications. This study helps to understand the risk factors associated with POD to improve poor outcomes.

Impact of depression on in-hospital outcomes for adults with type 2 myocardial infarction: A United States population-based analysis.

Type 2 myocardial infarction (T2MI) is an ischemic myocardial injury in the context of oxygen supply/demand mismatch in the absence of a primary coronary event. However, though there is a rising prevalence of depression and its potential association with type 1 myocardial infarction (T1MI), data remains non-existent to evaluate the association with T2MI. To identify the prevalence and risk of T2MI in adults with depression and its impact on the in-hospital outcomes. We queried the National Inpatient Sample (2019) to identify T2MI hospitalizations using Internal Classification of Diseases-10 codes in hospitalized adults (≥ 18 years). In addition, we compared sociodemographic and comorbidities in the T2MI cohort with vs without comorbid depression. Finally, we used multivariate regression analysis to study the odds of T2MI hospitalizations with vs without depression and in-hospital outcomes (all-cause mortality, cardiogenic shock, cardiac arrest, and stroke), adjusting for confounders. Statistical significance was achieved with a P value of < 0.05. There were 331145 adult T2MI hospitalizations after excluding T1MI (median age: 73 years, 52.8% male, 69.9% white); 41405 (12.5%) had depression, the remainder; 289740 did not have depression. Multivariate analysis revealed lower odds of T2MI in patients with depression vs without [adjusted odds ratio (aOR) = 0.88, 95% confidence interval (CI): 0.86-0.90, P = 0.001]. There was the equal prevalence of prior MI with any revascularization and a similar prevalence of peripheral vascular disease in the cohorts with depression vs without depression. There is a greater prevalence of stroke in patients with depression (10.1%) vs those without (8.6%). There was a slightly higher prevalence of hyperlipidemia in patients with depression vs without depression (56.5% vs 48.9%), as well as obesity (21.3% vs 17.9%). There was generally equal prevalence of hypertension and type 2 diabetes mellitus in both cohorts. There was no significant difference in elective and non-elective admissions frequency between cohorts. Patients with depression vs without depression also showed a lower risk of all-cause mortality (aOR = 0.75, 95%CI: 0.67-0.83, P = 0.001), cardiogenic shock (aOR = 0.65, 95%CI: 0.56-0.76, P = 0.001), cardiac arrest (aOR = 0.77, 95%CI: 0.67-0.89, P = 0.001) as well as stroke (aOR = 0.79, 95%CI: 0.70-0.89, P = 0.001). This study revealed a significantly lower risk of T2MI in patients with depression compared to patients without depression by decreasing adverse in-hospital outcomes such as all-cause mortality, cardiogenic shock, cardiac arrest, and stroke in patients with depression.

In-hospital outcomes in people with autism and epilepsy – A population-based study

Autism is a common comorbid diagnosis in those with epilepsy. Understanding the health needs and outcomes in patients with this dual diagnosis is important for optimizing healthcare outcomes. We compared hospital-level variables amongst patients with co-occurring autism and epilepsy, to those with epilepsy alone. Non-elective hospital admissions amongst patients with epilepsy alone and co-occurring autism and epilepsy were identified in the 2003–14 National Inpatient Sample (NIS) using previously validated ICD-9-CM case definitions. One patient with co-occurring epilepsy and autism was matched to three epilepsy patients for age and sex. Multinomial logistic regressions were performed to examine outcomes of interest. Compared to those with epilepsy alone (n = 27,762), patients with autism and epilepsy (n = 9254) had a higher odds of transfer to another facility (OR = 1.09, p = 0.048), in-hospital mortality (OR = 1.36, p = 0.011), longer mean length of stay (5.63 days vs. 5.12 days, p < 0.0001), and septicemia (4.21 % vs. 3.08 %, p < 0.0001). Distributions of demographics, insurance type, socioeconomic status, and comorbidities significantly differed between both groups. Our findings demonstrate that patients with comorbid autism and epilepsy are a unique population with health outcomes significantly differing from those with epilepsy alone. Given the effect that dual diagnosis has on hospital trajectory, focused treatment plans must be adopted to optimize care and hospital outcomes in these patients.

A Retrospective Analysis of Characteristics Favouring In-Hospital Resuscitation Plan Completion, Their Timing, and Associated Outcomes.

Background: Comprehensive resuscitation plans document treatment recommendations, such as 'Not for cardiopulmonary resuscitation'. When created early in admission as a shared decision-making process, these plans support patient autonomy and guide future treatment. The characteristics of patients who have resuscitation plans documented, their timing, and associations with clinical outcomes remain unclear. Objectives: To characterise factors associated with resuscitation plan completion, early completion, and differences in mortality rates and Intensive Care Unit (ICU) admissions based on resuscitation plan status. Methods: This retrospective study analysed non-elective admissions to an Australian tertiary centre from January to June 2021, examining plan completion timing (early < 48 h, late > 48 h) and associations with mortality and ICU admission. Results: Of 13,718 admissions, 5745 (42%) had a resuscitation plan recorded. Most plans (89%) were completed early. Furthermore, 9% of patients died during admission, and 8.2% were admitted to the ICU. For those without resuscitation plans, 0.5% died (p < 0.001), and 9.7% were admitted to the ICU (p = 0.002). Factors associated with plan completion included a medical unit, in-hours admission, older age, female gender, limited English proficiency, and non-Indigenous status. Plans completed late (>48 h) correlated with a higher mortality (14% vs. 9%; p < 0.001) and more ICU admissions (25% vs. 6%; p < 0.001). Aboriginal and/or Torres Strait Islander patients were often overlooked for resuscitation documentation before death. No resuscitation plans were documented for 62% of ICU admissions. Conclusions: Important disparities exist in resuscitation plan completion rates across highly relevant inpatient and demographic groups.

Catheter ablation compared to medical therapy for ventricular tachycardia in sarcoidosis: nationwide outcomes and hospital readmissions

BackgroundCatheter ablation (CA) for ventricular tachycardia (VT) can be a useful treatment strategy, however, few studies have compared CA to medical therapy (MT) in the sarcoidosis population. ObjectiveTo assess in-hospital outcomes and unplanned readmissions following CA for VT compared to MT in patients with sarcoidosis. MethodsData was obtained from the Nationwide Readmissions Database between 2010 and 2019 to identify patients with sarcoidosis admitted for VT either undergoing CA or MT during elective and non-elective admission. Primary endpoints were a composite endpoint of inpatient mortality, cardiogenic shock, cardiac arrest and 30-day hospital readmissions. Procedural complications at index admission and causes of readmission were also identified. ResultsAmong 1581 patients, 1217 with sarcoidosis and VT underwent MT compared to 168 with CA during non-elective admission. 63 patients admitted electively underwent CA compared with 129 managed medically. There was no difference in the composite outcome for patients undergoing catheter ablation or medical therapy during both non-elective (9.0 % vs 12.0 %, p = 0.312) and elective admission (3.2 % vs. 7.8 %, p = 0.343). The most common cause of readmission were ventricular arrhythmias (VA) in both groups, however, those undergoing elective CA were less likely to be readmitted for VA compared to non-elective CA. The most common complication in the CA group was cardiac tamponade (4.8 %). ConclusionVT ablation is associated with similar rates of 30-day readmission compared to MT and does not confer increased risk of harm with respect to inpatient mortality, cardiogenic shock or cardiac arrest. Further research is warranted to determine if a subgroup of sarcoidosis patients admitted with VT are better served with an initial conservative management strategy followed by VT ablation.

Trends in utilization, timing, and outcomes of thoracic endovascular repair for type B aortic dissection in the United States

BackgroundAortic dissection is the most common acute aortic syndrome in the United States. Type B aortic dissection (TBAD) can be managed medically, through open surgical repair, or with thoracic endovascular repair (TEVAR). The present study sought to assess contemporary trends in the use and timing of TEVAR. MethodsAdult nonelective TBAD admissions were identified in the 2010 to 2020 Nationwide Readmissions Database. Patients were categorized as medical management (Medical Management), TEVAR at initial hospitalization (Early), or TEVAR during readmission (Delayed). Multivariable models were developed to assess associations with clinical outcomes and resource utilization. ResultsOf 85,753 patients, 8.7% underwent TEVAR at index hospitalization (Early). From 2010 to 2020, the proportion undergoing TEVAR decreased significantly (from 11.3% to 9.6%; nptrend < .001), while the proportion of TEVAR at a subsequent hospitalization increased (from 13.0% to 21.6%; nptrend < .001). Compared to Medical Management, the Early group was younger (median. 63 [interquartile range (IQR), 52-74] years vs 69 [IQR, 57-81] years), and more frequently privately insured (27.7% vs 17.5%; P < .001). Following adjustment, the Early group had a reduced odds of mortality (adjusted odds ratio [aOR], 0.56; 95% confidence interval [CI], 0.48-0.66) and increased hospitalization costs (β = +$50,000; 95% CI, $48,000-$53,000). Among 4267 TEVAR patients with available procedure timing data, 15.7% were categorized as Delayed. The Early and Delayed groups did not differ in terms of demographics. The Delayed group had a decreased likelihood of major adverse events (aOR, 0.50; 95% CI, 0.39-0.64); however, this did not affect 90-day cumulative hospitalization costs (β = +$2700; 95% CI, -$5000-$11,000, ref: Early). ConclusionsThis study suggests changes to TBAD management in both treatment modality and TEVAR timing. Focused analysis on the timing and long-term costs of TEVAR are needed to optimize care delivery.

Prevalence and Factors Associated With Palliative Care Utilization Among Hospitalized Patients With Gallbladder Cancer- A National Inpatient Sample Analysis.

Various factors have been associated with palliative utilization in different cancers. However, literature is still lacking on the prevalence and factors associated with palliative care use in gallbladder cancer (GBC). This study aims to determine the prevalence of palliative care utilization and examine the factors associated with palliative care utilization among patients with GBC. We conducted a retrospective analysis using the National Inpatient Sample between 2016 and 2018. Descriptive statistics were used to characterize the study population. We explored factors associated with palliative care utilization among hospitalized GBC patients using logistic regression. Of the 20280 GBC hospitalizations, 18.0 % utilized palliative care. Multivariable analysis revealed that treatment at urban teaching hospitals, or treatment at urban nonteaching hospitals, Medicare insurance, other insurance coverage, transfer to a facility/discharge with home health, and death during hospital stay were associated with higher utilization of palliative care. In contrast, non-elective admissions were associated with decreased odds of palliative care utilization. Palliative care use among GBC patients is still low at 18.0%. Palliative care use was associated with insurance disparities, discharge disposition, hospital location, and type of admission. Therefore, concerted efforts to address these disparities in palliative care utilization are needed to improve the quality of care for this population.

Physical Health-Related Quality of Life and Postsurgical Outcomes in Brain Tumor Resection Patients.

Background Patient-reported outcome measures (PROMs) have gained traction in assessing patients' health around surgery. Among these, the 29-item Patient-Reported Outcomes Measurement Information System (PROMIS-29) is a widely accepted tool for evaluating overall health, yet its applicability in cranial neurosurgery remains uncertain. Objective This study aimed to evaluate the predictive value of preoperative PROMIS-29 scores for postoperative outcomes in patients undergoing brain tumor resection. Materials and Methods We identified adult patients undergoing brain tumor resection at a single neurosurgical center between January 2018 and December 2021. We analyzed physical health (PH) summary scores to determine optimal thresholds for predicting length of stay (LOS), discharge disposition (DD), and 30-day readmission. Bivariate analyses were conducted to examine the distribution of PH scores based on patient characteristics. Multivariate logistic regression models were employed to assess the association between preoperative PH scores and short-term postoperative outcomes. Results Among 157 patients (mean age 55.4 years, 58.0% female), 14.6% exhibited low PH summary scores. Additionally, 5.7% experienced prolonged LOS, 37.6% had nonroutine DDs, and 19.1% were readmitted within 30 days. Bivariate analyses indicated that patients with low PH summary scores, indicating poorer baseline PH, were more likely to have malignant tumors, nonelective admissions, and adverse outcomes. In multivariate analysis, low PH summary scores independently predicted increased odds of prolonged LOS (odds ratio [OR] = 6.09, p = 0.003), nonroutine DD (OR = 4.25, p = 0.020), and 30-day readmission (OR = 3.93, p = 0.020). Conclusion The PROMIS-29 PH summary score serves as a valuable predictor of short-term postoperative outcomes in brain tumor patients. Integrating this score into clinical practice can enhance the ability to anticipate meaningful postoperative results.

The impact of rurality on racial disparities in costs of bowel obstruction treatment

BackgroundBlack race has been associated with increased resource utilization after operation for small bowel obstruction (SBO). While prior literature has similarly demonstrated differences between urban and rural institutions, limited work has defined the impact of rurality on resource utilization by race. MethodsThe 2016–2020 National Inpatient Sample was used to identify adults undergoing adhesiolysis after non-elective admission for SBO. The primary endpoint was hospitalization costs. Additional outcomes included surgical delay (≥ hospital day 3), length of stay (LOS), and nonhome discharge. Regression models were developed to identify the impact of Black race and rurality on the outcomes of interest with an interaction term to examine the incremental association of Black race on rurality. ResultsOf an estimated 132,390 patients, 11.4 % were treated at an annual average of 377 rural hospitals (18.5 % of institutions). After adjustment, rural hospitals had higher costs (β + $4900, 95 % Confidence Interval [CI] [4200, 5700]), compared to others. However, rurality was associated with reduced odds of surgical delay (Adjusted Odds Ratio [AOR] 0. 76, CI[0.69, 0.85]), decreased LOS (β −1.66 days, CI[−1.99, −1.36]), and nonhome discharge (AOR 0.78, CI[0.70, 0.87]). While White patients experienced significant cost reductions at urban centers ($26,100 [25,800-26,300] vs $31,000 [30,300-31,700]), this was not noted for Black patients ($30,100 [29,400-30,700] vs $30,800 [29,300-32,400]). ConclusionsWe found that Black patients do not benefit from the same cost protection afforded by urban settings as White patients after operative SBO admission. Future work should focus on setting-specific interventions to address drivers of disparities within each community.

#772 Causes of non-elective hospitalisations among adult patients with chronic kidney disease in England: Clinical Practice Research Datalink 2010-2019

Abstract Background and Aims Patients with chronic kidney disease (CKD) are at higher risk of non-elective hospitalisation compared to the general population, which is associated with an increased risk of death and accounts for disproportionate resource utilisation. There are limited population-level estimates of the causes of non-elective hospitalisation for patients with CKD in England. Therefore, a population-based study was implemented to start to address this shortfall. Method This non-interventional, observational study utilised data from primary care electronic health records from the Clinical Practice Research Datalink (CPRD) AURUM and Hospital Episode Statistics (HES) admitted patient care (APC). Patients aged ≥18 years registered in CPRD with eligible linkage to HES between January 1, 2010-December 31, 2019 with at least two eGFR measurements during that period were identified. CKD was defined by an eGFR &amp;lt;60 ml/min/1.73 m2 and/or presence of a uACR measurement ≥3 mg/mmol, both confirmed by a second measurement 90-365 days later. Start of follow-up (index) was set to the earliest date during the study period where CKD was confirmed. Non-elective admissions were defined as hospitalisations not planned in advance. Follow-up for hospitalisations ended at the earliest of death, administrative censoring, or December 31, 2019. Patients with end stage kidney disease at index were excluded. Causes of hospitalisation during follow-up were based on three character-level ICD codes in the primary position. Where the same ICD-10 code was coded more than once within a hospitalisation, it was only counted once. Results From a total population of 6.1 million adult patients meeting study inclusion criteria, 743.945 adults with CKD were identified (12.2%) with a median follow-up of 3.62 years. The mean age (SD) was 76.1 (11.5) years, 55.2% were female, and 89.8% were White. The majority (60.9%) of patients had stage 3a CKD (eGFR 45-59 ml/min/1.732 m2) and 34.3% and 17.1% had a history of type 2 diabetes and heart failure at time of CKD confirmation, respectively. There were 1.45 million non-elective hospitalisations observed, with 449.128 (60%) of patients experiencing ≥1 non-elective hospitalisation during follow-up. The most frequent ICD-10 chapter indicated as primary cause of all non-elective hospitalisation was diseases of the circulatory system (19.4%), including heart failure (4.9%), ischaemic heart disease (myocardial infarction and angina) (3.5%), stroke (2.2%) and atrial fibrillation/flutter (1.9%). Infection was also a frequent cause of non-elective hospitalisation, including pneumonia of unspecified organism (7.8%), unspecified acute lower respiratory tract (2.5%), and other sepsis (2.7%). Frequent hospitalisation also occurred in patients with CKD due to fractures (3.5%) and injuries to the head (1.7%). Conclusion Non-elective hospitalisations are frequent among patients with CKD. Diseases of the circulatory and respiratory systems are overall most common causes, with pneumonia, ischaemic heart disease, and heart failure the most frequent modifiable reasons for admission. Ensuring that current shortfalls in primary and secondary prevention for patients with CKD through optimization of strategies such as vaccination and evidence based cardiovascular disease management will reduce rates of non-elective hospitalisation and other clinical outcomes and ensure best use of health care resources for patients with CKD.

Incidence and risk factors of postoperative delirium following hepatic resection: a retrospective national inpatient sample database study

BackgroundPostoperative delirium (POD) is a common complication after major surgery and can cause a variety of adverse effects. However, no large-scale national database was used to assess the occurrence and factors associated with postoperative delirium (POD) following hepatic resection.MethodsPatients who underwent hepatic resection from 2015 to 2019 were screened using the International Classification of Diseases (ICD) 10th edition clinical modification code from the National Inpatient Sample (NIS) Database. Peri-operative factors associated with delirium were screened and underwent statistical analysis to identify independent predictors for delirium following hepatic resection.ResultsA total of 80,070 patients underwent hepatic resection over a five-year period from 2015 to 2019. The overall occurrence of POD after hepatic resection was 1.46% (1039 cases), with a slight upward trend every year. The incidence of elective admission was 6.66% lower (88.60% vs. 81.94%) than that of patients without POD after hepatic resection and 2.34% (45.53% vs. 43.19%) higher than that of patients without POD in teaching hospitals (P < 0.001). In addition, POD patients were 6 years older (67 vs. 61 years) and comprised 9.27% (56.69% vs. 47.42%) more male patients (P < 0.001) compared to the unaffected population. In addition, the occurrence of POD was associated with longer hospitalization duration (13 vs. 5 days; P < 0.001), higher total cost ($1,481,89 vs. $683,90; P < 0.001), and higher in-hospital mortality (12.61% vs. 4.11%; P < 0.001). Multivariate logistic regression identified hepatic resection-independent risk factors for POD, including non-elective hospital admission, teaching hospital, older age, male sex, depression, fluid and electrolyte disorders, coagulopathy, other neurological disorders, psychoses, and weight loss. In addition, the POD after hepatic resection has been associated with sepsis, dementia, urinary retention, gastrointestinal complications, acute renal failure, pneumonia, continuous invasive mechanical ventilation, blood transfusion, respiratory failure, and wound dehiscence / non-healing.ConclusionAlthough the occurrence of POD after hepatic resection is relatively low, it is beneficial to investigate factors predisposing to POD to allow optimal care management and improve the outcomes of this patient population.

Association of socioeconomic vulnerability with outcomes after emergency general surgery

PurposeSocial determinants of health are increasingly recognized to shape health outcomes. Yet, the effect of socioeconomic vulnerability on outcomes after emergency general surgery remains under-studied. MethodsAll adult (≥18 years) hospitalizations for emergency general surgery operations (appendectomy, cholecystectomy, laparotomy, large bowel resection, perforated ulcer repair, or small bowel resection), within 2 days of non-elective admission were tabulated in the 2016 to 2020 Nationwide Readmissions Database. Socioeconomic vulnerability was defined using relevant diagnosis codes and comprised economic, educational, healthcare, environmental, and social needs. Patients demonstrating socioeconomic vulnerability were considered Vulnerable (others: Non-Vulnerable). Multivariable models were constructed to evaluate the independent associations between socioeconomic vulnerability and key outcomes. ResultsOf ∼1,788,942 patients, 177,764 (9.9%) were considered Vulnerable. Compared to Non-Vulnerable, Vulnerable patients were older (67 [55–77] vs 58 years [41–70), P < .001), more often insured by Medicaid (16.4 vs 12.7%, P < .001), and had a higher Elixhauser Comorbidity Index (4 [3–5] vs 2 [1–3], P < .001). After risk adjustment and with Non-Vulnerable as a reference, Vulnerable remained linked with a greater likelihood of in-hospital mortality (adjusted odds ratio 1.64, confidence interval 1.58–1.70) and any perioperative complication (adjusted odds ratio 2.02, confidence interval 1.98–2.06). Vulnerable also experienced a greater duration of stay (β+4.64 days, confidence interval +4.54–4.74) and hospitalization costs (β+$1,360, confidence interval +980–1,740). Further, the Vulnerable cohort demonstrated increased odds of non-home discharge (adjusted odds ratio 2.44, confidence interval 2.38–2.50) and non-elective readmission within 30 days of discharge (adjusted odds ratio 1.29, confidence interval 1.26–1.32). ConclusionSocioeconomic vulnerability is independently associated with greater morbidity, resource use, and readmission after emergency general surgery. Novel interventions are needed to build hospital screening and care pathways to improve disparities in outcomes.