Re-Admissions of 'Unknown' Traumatic Brain Injury Patients - Inadequacy of Rehabilitative Services in a Developing Country.

BACKGROUND: In neurosurgical practice, continuous care after discharge and the ability to detect subtle indicators of clinical deterioration are mandatory to prevent the progression of a disease. The care of 'unknown' patients discharged to rehabilitation homes may not have this privilege, especially in resource-poor countries such as India. OBJECTIVE: We have attempted to study the causes and outcomes of re-admissions of 'unknown' patients with previous traumatic brain injury (TBI) to estimate the quality of nursing care in our rehabilitation centers. MATERIAL AND METHODS: The electronic hospital records of all consecutive 'unknown' TBI patients with unplanned re-admissions at our institute from January 2014 to December 2018 were retrospectively reviewed and analyzed for the factors determining the risk and outcomes of re-admission. RESULTS: Out of 245 patients sent to rehabilitation homes at discharge, 47 patients (19.18%) were re-admitted. A total of 33 patients (70%) were re-admitted between 1 month and 1 year. Out of these, 38 patients (80.9%) were re-admitted because of preventable causes. Fifteen patients (31.9%) died during the hospital stay. The rest of the 32 (68%) patients were discharged after the management of the concerned condition with an average hospital stay of 9 ± 11.1 days. The average Glasgow coma scale (GCS) at re-admission of the patients who died was 6 (range 3-11). Two patients were brought in the brain dead status, whereas 20 patients (42.6%) had a GCS of 5 or below at the time of re-admission. The risk of mortality among patients with non-preventable causes was 88.9% (8/9) compared to preventable causes 18.4% (7/38). However, preventable causes for re-admission are much more common, resulting in nearly a similar overall contribution to mortality. CONCLUSIONS: There is a high rate of mortality and morbidity in 'unknown' patients with TBI because of poor post-discharge care in developing countries. Because preventable causes are the major contributor to re-admissions, the re-admission rate is a good indicator of a lack of adequate rehabilitative services. The need for improving the post-discharge management of 'unknown' patients with TBI in resource-poor countries cannot be over-emphasized.

A comparison of endoscopic endonasal versus open approaches for skull base chordoma: a comprehensive National Cancer Database analysis.

OBJECTIVE: The authors of this study aimed to investigate independent prognostic factors of survival with a particular focus on comparing the safety and efficacy of endoscopic endonasal versus open approaches in the surgical management of skull base chordoma. METHODS: A retrospective National Cancer Database review of skull base chordoma patients was performed to capture resection cases from 2010 to 2020, evaluating overall survival (OS), early postoperative mortality, readmission rates, and hospital length of stay (LOS) between surgical approaches and the independent prognostication of death utilizing Cox multivariate regression analysis. RESULTS: Among the 736 patients included in the cohort, 456 patients (62.0%) and 280 patients (38.0%) underwent endoscopic endonasal and open resection, respectively. These values represent a rate of change over the study period of +4.1 versus -0.14 cases per year, respectively. Gross-total resection was achieved in 32.5% of cases. A positive margin status was found in 51.8% of cases. There was no association between extent of resection and surgical approach (p = 0.257). There was no difference in OS (p = 0.562), 30- and 90-day mortality (p = 0.209 and 0.126, respectively), and 30-day readmission (p = 0.438) between the two surgical groups. The mean LOS was reduced by 2.1 days in the endoscopic cohort (p = 0.013) compared with the open approach cohort. Finally, multivariate analysis revealed a tumor size ≥ 4 cm (HR 4.03, p = 0.005) and public insurance (HR 2.76, p = 0.004) as negative predictors of survival and treatment at an academic center (HR 0.36, p = 0.043) as a positive prognosticator of survival. CONCLUSIONS: The endoscopic endonasal approach has been increasingly utilized over time and touts noninferiority with respect to safety and efficacy with a marked improvement in LOS, which carries substantial implications for both healthcare costs and enhanced patient recovery. Future prospective studies are necessary to further delineate trends and surgical outcomes for skull base chordoma.

Factors Associated with the Treatment Costs within the First Year after Pacemaker Implantation or Pulse Generator Replacement. / Fatores Associados aos Custos do Tratamento no Primeiro Ano após Implantes Iniciais ou Trocas de Geradores de Pulsos de Marca-passos Cardíacos.

BACKGROUND: The use of artificial cardiac pacemakers has grown steadily in line with the aging population. OBJECTIVES: To determine the rates of hospital readmissions and complications after pacemaker implantation or pulse generator replacement and to assess the impact of these events on annual treatment costs from the perspective of the Unified Health System (SUS). METHODS: A prospective registry, with data derived from clinical practice, collected during index hospitalization and during the first 12 months after the surgical procedure. The cost of index hospitalization, the procedure, and clinical follow-up were estimated according to the values reimbursed by SUS and analyzed at the patient level. Generalized linear models were used to study factors associated with the total annual treatment cost, adopting a significance level of 5%. RESULTS: A total of 1,223 consecutive patients underwent initial implantation (n=634) or pulse generator replacement (n=589). Seventy episodes of complication were observed in 63 patients (5.1%). The incidence of hospital readmissions within one year was 16.4% (95% CI 13.7% - 19.6%) after initial implants and 10.6% (95% CI 8.3% - 13.4%) after generator replacements. Chronic kidney disease, history of stroke, length of hospital stays, need for postoperative intensive care, complications, and hospital readmissions showed a significant impact on the total annual treatment cost. CONCLUSIONS: The results confirm the influence of age, comorbidities, postoperative complications, and hospital readmissions as factors associated with increased total annual treatment cost for patients with pacemakers.

FUNDAMENTO: O uso de marca-passos cardíacos artificiais tem crescido constantemente, acompanhando o envelhecimento populacional. OBJETIVOS: Determinar as taxas de readmissões hospitalares e complicações após implante de marca-passo ou troca de gerador de pulsos e avaliar o impacto desses eventos nos custos anuais do tratamento sob a perspectiva do Sistema Único de Saúde (SUS). MÉTODOS: Registro prospectivo, com dados derivados da prática clínica assistencial, coletados na hospitalização índice e durante os primeiros 12 meses após o procedimento cirúrgico. O custo da hospitalização índice, do procedimento e do seguimento clínico foram estimados de acordo com os valores reembolsados pelo SUS e analisados ao nível do paciente. Modelos lineares generalizados foram utilizados para estudar fatores associados ao custo total anual do tratamento, adotando-se um nível de significância de 5%. RESULTADOS: No total, 1.223 pacientes consecutivos foram submetidos a implante inicial (n= 634) ou troca do gerador de pulsos (n= 589). Foram observados 70 episódios de complicação em 63 pacientes (5,1%). A incidência de readmissões hospitalares em um ano foi de 16,4% (IC 95% 13,7% - 19,6%) após implantes iniciais e 10,6% (IC 95% 8,3% - 13,4%) após trocas de geradores. Doença renal crônica, histórico de acidente vascular encefálico, tempo de permanência hospitalar, necessidade de cuidados intensivos pós-operatórios, complicações e readmissões hospitalares mostraram um impacto significativo sobre o custo anual total do tratamento. CONCLUSÕES: Os resultados confirmam a influência da idade, comorbidades, complicações pós-operatórias e readmissões hospitalares como fatores associados ao incremento do custo total anual do tratamento de pacientes com marca-passo.

Beneficial Effects of Concomitant Long-Acting Injectable Antipsychotics on Time to Rehospitalization in Patients With Treatment-Resistant Schizophrenia Receiving Clozapine: A Retrospective Cohort Study.

Introduction: This study aimed to assess the association between long-acting injectable (LAI) antipsychotic prescription and the risk of psychiatric hospitalization in patients with treatment-resistant schizophrenia (TRS) receiving clozapine.Methods: In this retrospective cohort study at a single tertiary psychiatric center, we analyzed rehospitalization hazard ratios (HRs) in refractory schizophrenia patients, classified by DSM-IV-TR and DSM-5 criteria. We examined various psychotropic regimens-clozapine with or without other oral antipsychotics (OAPs) or LAI antipsychotics. Subgroups were stratified by daily clozapine dosage and previous admissions.Results: A total of 719 patients were included in the study. Analyses were conducted on all the patients over 3- month, 6-month, and 1-year periods. Patients treated with a combination of clozapine and LAI antipsychotics (CLO + LAI) had a significantly higher number of previous hospitalizations (P = .003), and a higher daily dose of clozapine (P < .001) was found in the CLO + OAP group than in the CLO (monotherapy) group and the CLO + LAI group. Patients treated with LAI antipsychotic comedication had significantly lower HRs for rehospitalization in 1 year among 3 studied groups. Moreover, the protective effects of LAI antipsychotics were observed in all the subgroups stratified by daily clozapine dosage and number of previous admissions to represent disease severity.Conclusion: The combination of clozapine and LAI antipsychotics was associated with a significantly lower risk of rehospitalization compared to both the combination of clozapine and OAPs and clozapine monotherapy. The use of LAI antipsychotics should be considered to prevent rehospitalization in patients with TRS who are already being treated with clozapine.

Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to reduce preventable all-cause readmissions or death.

We developed an inherently interpretable multilevel Bayesian framework for representing variation in regression coefficients that mimics the piecewise linearity of ReLU-activated deep neural networks. We used the framework to formulate a survival model for using medical claims to predict hospital readmission and death that focuses on discharge placement, adjusting for confounding in estimating causal local average treatment effects. We trained the model on a 5% sample of Medicare beneficiaries from 2008 and 2011, based on their 2009-2011 inpatient episodes (approximately 1.2 million), and then tested the model on 2012 episodes (approximately 400 thousand). The model scored an out-of-sample AUROC of approximately 0.75 on predicting all-cause readmissions-defined using official Centers for Medicare and Medicaid Services (CMS) methodology-or death within 30-days of discharge, being competitive against XGBoost and a Bayesian deep neural network, demonstrating that one need-not sacrifice interpretability for accuracy. Crucially, as a regression model, it provides what blackboxes cannot-its exact gold-standard global interpretation, explicitly defining how the model performs its internal "reasoning" for mapping the input data features to predictions. In doing so, we identify relative risk factors and quantify the effect of discharge placement. We also show that the posthoc explainer SHAP provides explanations that are inconsistent with the ground truth model reasoning that our model readily admits.

Prognostic Nutritional Index and Instant Nutritional Assessement Are Associated with Clinical Outcomes in a Geriatric Cohort of Acutely Inpatients.

BACKGROUND: Among elderly inpatients, malnutrition is one of the most important predictive factors affecting length of stay (LOS), mortality, and risk of re-hospitalization. METHODS: We conducted an observational, retrospective study on a cohort of 2206 acutely inpatients. Serum albumin and lymphocytes were evaluated. Instant Nutritional Assessment (INA) and the Prognostic Nutritional Index (PNI) were calculated to predict in-hospital mortality, LOS, and risk of rehospitalization. RESULTS: An inverse relationship between LOS, serum albumin, and PNI were found. Deceased patients had lower albumin levels, lower PNI values, and third- and fourth-degree INA scores. An accurate predictor of mortality was PNI (AUC = 0.785) after ROC curve analysis; both lower PNI values (HR = 3.56) and third- and fourth-degree INA scores (HR = 3.12) could be independent risk factors for mortality during hospitalization after Cox regression analysis. Moreover, among 309 subjects with a lower PNI value or third- and fourth-class INA, hospitalization was re-hospitalization. CONCLUSIONS: PNI and INA are two simple and quick-to-calculate tools that can help in classifying the condition of hospitalized elderly patients also based on their nutritional status, or in assessing their mortality risk. A poor nutritional status at the time of discharge may represent an important risk factor for rehospitalization in the following thirty days. This study confirms the importance of evaluating nutritional status at the time of hospitalization, especially in older patients. This study also confirms the importance for adequate training of doctors and nurses regarding the importance of maintaining a good nutritional status as an integral part of the therapeutic process of hospitalization in acute departments.

Is Electronic Information Exchange Associated With Lower 30-Day Readmission Charges Among Medicare Beneficiaries?

OBJECTIVE: Fragmented readmissions, when admission and readmission occur at different hospitals, are associated with increased charges compared with nonfragmented readmissions. We assessed if hospital participation in health information exchange (HIE) was associated with differences in total charges in fragmented readmissions. DATA SOURCE: Medicare Fee-for-Service Data, 2018. STUDY DESIGN: We used generalized linear models with hospital referral region and readmission month fixed effects to assess relationships between information sharing (same HIE, different HIEs, and no HIE available) and total charges of 30-day readmissions among fragmented readmissions; analyses were adjusted for patient-level clinical/demographic characteristics and hospital-level characteristics. DATA EXTRACTION METHODS: We included beneficiaries with a hospitalization for acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, syncope, urinary tract infection, dehydration, or behavioral issues with a 30-day readmission for any reason. PRINCIPAL FINDINGS: In all, 279,729 admission-readmission pairs were included, 27% of which were fragmented (n=75,438); average charges of fragmented readmissions were $64,897-$71,606. Compared with fragmented readmissions where no HIE was available, the average marginal effects of same-HIE and different-HIE admission-readmission pairs were -$2329.55 (95% CI: -7333.73, 2674.62) and -$3905.20 (95% CI: -7592.85, -307.54), respectively. While the average marginal effects of different-HIE pairs were lower than those for no-HIE fragmented readmissions, the average marginal effects of same-HIE and different-HIE pairs were not significantly different from each other. CONCLUSIONS: There were no statistical differences in charges between fragmented readmissions to hospitals that share an HIE or that do not share an HIE compared with hospitals with no HIE available.

Association between immigration status and total knee arthroplasty outcomes in Ontario, Canada: a population-based matched cohort study.

BACKGROUND: Immigrants and refugees face unique challenges navigating the health care system to manage severe arthritis, because of unfamiliarity, lack of awareness of surgical options, or access. The purpose of this study was to assess total knee arthroplasty (TKA) uptake, surgical outcomes, and hospital utilization among immigrants and refugees compared with Canadian-born patients. METHODS: We included all adults undergoing primary TKA from January 2011 to December 2020 in Ontario. Cohorts were defined as Canadian-born or immigrants and refugees. We assessed change in yearly TKA utilization for trend. We compared differences in 1-year revision, infection rates, 30-day venous thromboembolism (VTE), presentation to emergency department, and hospital readmission between matched Canadian-born and immigrant and refugee groups. RESULTS: We included 158 031 TKA procedures. A total of 11 973 (7.6%) patients were in the immigrant and refugee group, and 146 058 (92.4%) patients were in the Canadian-born group. The proportion of TKAs in Ontario performed among immigrants and refugees nearly doubled over the 10-year study period (p < 0.001). After matching, immigrants were at relatively lower risk of 1-year revision (0.9% v. 1.6%, p < 0.001), infection (p < 0.001), death (p = 0.004), and surgical complications (p < 0.001). No differences were observed in rates of 30-day VTE or length of hospital stay. Immigrants were more likely to be discharged to rehabilitation (p < 0.001) and less likely to present to the emergency department (p < 0.001) than Canadian-born patients. CONCLUSION: Compared with Canadian-born patients, immigrants and refugees have favourable surgical outcomes and similar rates of resource utilization after TKA. We observed an underutilization of these procedures in Ontario relative to their proportion of the population. This may reflect differences in perceptions of chronic pain or barriers accessing arthroplasty.

Increasing the Use of Enteral Antibiotics in Hospitalized Children With Uncomplicated Infections.

BACKGROUND: Route of administration is an important component of antimicrobial stewardship. Early transition from intravenous to enteral antibiotics in hospitalized children is associated with fewer catheter-related adverse events, as well as decreased costs and length of stay. Our aim was to increase the percentage of enteral antibiotic doses for hospital medicine patients with uncomplicated common bacterial infections (community-acquired pneumonia, skin and soft tissue infection, urinary tract infection, neck infection) from 50% to 80% in 6 months. METHODS: We formed a multidisciplinary team to evaluate key drivers and design plan-do-study-act cycles. Interventions included provider education, structured discussion at existing team huddles, and pocket-sized printed information. Our primary measure was the percentage of antibiotic doses given enterally to patients receiving other enteral medications. Secondary measures included antibiotic cost, number of peripheral intravenous catheters, length of stay, and 7-day readmission. We used statistical process control charts to track our measures. RESULTS: Over a 6-month baseline period and 12 months of improvement work, we observed 3183 antibiotic doses (888 in the baseline period, 2295 doses during improvement work). We observed an increase in the percentage of antibiotic doses given enterally per week for eligible patients from 50% to 67%. We observed decreased antibiotic costs and fewer peripheral intravenous catheters per encounter after the interventions. There was no change in length of stay or readmissions. CONCLUSIONS: We observed increased enteral antibiotic doses for children hospitalized with common bacterial infections. Interventions targeting culture change and communication were associated with sustained improvement.

Association between triglyceride glucose-body mass index and long-term adverse outcomes of heart failure patients with coronary heart disease.

BACKGROUND: The triglyceride glucose-body mass index (TyG-BMI) is recognized as a reliable surrogate for evaluating insulin resistance and an effective predictor of cardiovascular disease. However, the link between TyG-BMI index and adverse outcomes in heart failure (HF) patients remains unclear. This study examines the correlation of the TyG-BMI index with long-term adverse outcomes in HF patients with coronary heart disease (CHD). METHODS: This single-center, prospective cohort study included 823 HF patients with CHD. The TyG-BMI index was calculated as follows: ln [fasting triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2] × BMI. To explore the association between the TyG-BMI index and the occurrences of all-cause mortality and HF rehospitalization, we utilized multivariate Cox regression models and restricted cubic splines with threshold analysis. RESULTS: Over a follow-up period of 9.4 years, 425 patients died, and 484 were rehospitalized due to HF. Threshold analysis revealed a significant reverse "J"-shaped relationship between the TyG-BMI index and all-cause mortality, indicating a decreased risk of all-cause mortality with higher TyG-BMI index values below 240.0 (adjusted model: HR 0.90, 95% CI 0.86-0.93; Log-likelihood ratio p = 0.003). A distinct "U"-shaped nonlinear relationship was observed with HF rehospitalization, with the inflection point at 228.56 (adjusted model: below: HR 0.95, 95% CI 0.91-0.98; above: HR 1.08, 95% CI 1.03-1.13; Log-likelihood ratio p < 0.001). CONCLUSIONS: This study reveals a nonlinear association between the TyG-BMI index and both all-cause mortality and HF rehospitalization in HF patients with CHD, positioning the TyG-BMI index as a significant prognostic marker in this population.

Preoperative prediction model for risk of readmission after total joint replacement surgery: a random forest approach leveraging NLP and unfairness mitigation for improved patient care and cost-effectiveness.

BACKGROUND: The Center for Medicare and Medicaid Services (CMS) imposes payment penalties for readmissions following total joint replacement surgeries. This study focuses on total hip, knee, and shoulder arthroplasty procedures as they account for most joint replacement surgeries. Apart from being a burden to healthcare systems, readmissions are also troublesome for patients. There are several studies which only utilized structured data from Electronic Health Records (EHR) without considering any gender and payor bias adjustments. METHODS: For this study, dataset of 38,581 total knee, hip, and shoulder replacement surgeries performed from 2015 to 2021 at Novant Health was gathered. This data was used to train a random forest machine learning model to predict the combined endpoint of emergency department (ED) visit or unplanned readmissions within 30 days of discharge or discharge to Skilled Nursing Facility (SNF) following the surgery. 98 features of laboratory results, diagnoses, vitals, medications, and utilization history were extracted. A natural language processing (NLP) model finetuned from Clinical BERT was used to generate an NLP risk score feature for each patient based on their clinical notes. To address societal biases, a feature bias analysis was performed in conjunction with propensity score matching. A threshold optimization algorithm from the Fairlearn toolkit was used to mitigate gender and payor biases to promote fairness in predictions. RESULTS: The model achieved an Area Under the Receiver Operating characteristic Curve (AUROC) of 0.738 (95% confidence interval, 0.724 to 0.754) and an Area Under the Precision-Recall Curve (AUPRC) of 0.406 (95% confidence interval, 0.384 to 0.433). Considering an outcome prevalence of 16%, these metrics indicate the model's ability to accurately discriminate between readmission and non-readmission cases within the context of total arthroplasty surgeries while adjusting patient scores in the model to mitigate bias based on patient gender and payor. CONCLUSION: This work culminated in a model that identifies the most predictive and protective features associated with the combined endpoint. This model serves as a tool to empower healthcare providers to proactively intervene based on these influential factors without introducing bias towards protected patient classes, effectively mitigating the risk of negative outcomes and ultimately improving quality of care regardless of socioeconomic factors.

Hospital at home for elderly acute patients: a study protocol for a randomised controlled trial.

INTRODUCTION: The increasing elderly population has led to a growing demand for healthcare services. A hospital at home treatment model offers an alternative to standard hospital admission, with the potential to reduce readmission and healthcare consumption while improving patients' quality of life. However, there is little evidence regarding hospital at home treatment in a Danish setting. This article describes the protocol for a randomised controlled trial (RCT) comparing standard hospital admission to hospital at home treatment. The main aim of the intervention is to reduce 30-day acute readmission after discharge and improve the quality of life of elderly acute patients. METHODS AND ANALYSIS: A total of 849 elderly acute patients will be randomised in a 1:2 ratio to either the control or intervention group in the trial. The control group will receive standard hospital treatment in a hospital emergency department while the intervention group will receive treatment at home. The primary outcomes of the trial are the rate of 30-day acute readmission and quality of life, assessed using the European Quality of Life-5 Dimensions-5-Level instrument. Primary analyses are based on the intention-to-treat principle. Secondary outcomes are basic functional mobility, resource use in healthcare, primary and secondary healthcare cost, incremental cost-effectiveness ratio, and the mortality rate 3 months after discharge. ETHICS AND DISSEMINATION: The RCT was approved by the Ethical Committee, Central Denmark Region (no. 1-10-72-67-20). Results will be presented at relevant national and international meetings and conferences and will be published in international peer-reviewed journals. Furthermore, we plan to communicate the results to relevant stakeholders in the Danish healthcare system. TRIAL REGISTRATION NUMBER: NCT05360914.

Developing and validating prediction models for severe exacerbations and readmissions in patients hospitalised for COPD exacerbation (SERCO) in China: a prospective observational study.

BACKGROUND: There is a lack of individualised prediction models for patients hospitalised with chronic obstructive pulmonary disease (COPD) for clinical practice. We developed and validated prediction models of severe exacerbations and readmissions in patients hospitalised for COPD exacerbation (SERCO). METHODS: Data were obtained from the Acute Exacerbations of Chronic Obstructive Pulmonary Disease Inpatient Registry study (NCT02657525) in China. Cause-specific hazard models were used to estimate coefficients. C-statistic was used to evaluate the discrimination. Slope and intercept were used to evaluate the calibration and used for model adjustment. Models were validated internally by 10-fold cross-validation and externally using data from different regions. Risk-stratified scoring scales and nomograms were provided. The discrimination ability of the SERCO model was compared with the exacerbation history in the previous year. RESULTS: Two sets with 2196 and 1869 patients from different geographical regions were used for model development and external validation. The 12-month severe exacerbations cumulative incidence rates were 11.55% (95% CI 10.06% to 13.16%) in development cohorts and 12.30% (95% CI 10.67% to 14.05%) in validation cohorts. The COPD-specific readmission incidence rates were 11.31% (95% CI 9.83% to 12.91%) and 12.26% (95% CI 10.63% to 14.02%), respectively. Demographic characteristics, medical history, comorbidities, drug usage, Global Initiative for Chronic Obstructive Lung Disease stage and interactions were included as predictors. C-indexes for severe exacerbations were 77.3 (95% CI 70.7 to 83.9), 76.5 (95% CI 72.6 to 80.4) and 74.7 (95% CI 71.2 to 78.2) at 1, 6 and 12 months. The corresponding values for readmissions were 77.1 (95% CI 70.1 to 84.0), 76.3 (95% CI 72.3 to 80.4) and 74.5 (95% CI 71.0 to 78.0). The SERCO model was consistently discriminative and accurate with C-indexes in the derivation and internal validation groups. In external validation, the C-indexes were relatively lower at 60-70 levels. The SERCO model discriminated outcomes better than prior severe exacerbation history. The slope and intercept after adjustment showed close agreement between predicted and observed risks. However, in external validation, the models may overestimate the risk in higher-risk groups. The model-driven risk groups showed significant disparities in prognosis. CONCLUSION: The SERCO model provides individual predictions for severe exacerbation and COPD-specific readmission risk, which enables identifying high-risk patients and implementing personalised preventive intervention for patients with COPD.

Short- and long-term outcome differences between patients undergoing left and right colon cancer surgery: cohort study.

PURPOSE: Since the literature currently provides controversial data on the postoperative outcomes following right and left hemicolectomies, we carried out this study to examine the short- and long-term treatment outcomes. METHODS: This study included consecutive patients who underwent right or left-sided colonic resections from year 2014 to 2018 and then they were followed up. The short-term outcomes such as postoperative morbidity and mortality according to Clavien-Dindo score, duration of hospital stay, and 90-day readmission rate were evaluated as well as long-term outcomes of overall survival and disease-free survival. Multivariable Cox regression analysis was performed of overall and progression-free survival. RESULTS: In total, 1107 patients with colon tumors were included in the study, 525 patients with right-sided tumors (RCC) and 582 cases with tumors in the left part of the colon (LCC). RCC group patients were older (P < 0.001), with a higher ASA score (P < 0.001), and with more cardiovascular comorbidities (P < 0.001). No differences were observed between groups in terms of postoperative outcomes such as morbidity and mortality, except 90-day readmission which was more frequent in the RCC group. Upon histopathological analysis, the RCC group's patients had more removed lymph nodes (29 ± 14 vs 20 ± 11, P = 0.001) and more locally progressed (pT3-4) tumors (85.4% versus 73.4%, P = 0.001). Significantly greater 5-year overall survival and disease-free survival (P = 0.001) were observed for patients in the LCC group, according to univariate Kaplan-Meier analysis. CONCLUSIONS: Patients with right-sided colon cancer were older and had more advanced disease. Short-term surgical outcomes were similar, but patients in the LCC group resulted in better long-term outcomes.

The burden and predictors of 30-day unplanned readmission in patients with acute liver failure: a national representative database study.

BACKGROUND: Liver diseases were significant source of early readmission burden. This study aimed to evaluate the 30-day unplanned readmission rates, causes of readmissions, readmission costs, and predictors of readmission in patients with acute liver failure (ALF). METHODS: Patients admitted for ALF from 2019 National Readmission Database were enrolled. Weighted multivariable logistic regression models were applied and based on Directed Acyclic Graphs. Incidence, causes, cost, and predictors of 30-day unplanned readmissions were identified. RESULTS: A total of 3,281 patients with ALF were enrolled, of whom 600 (18.3%) were readmitted within 30 days. The mean time from discharge to early readmission was 12.6 days. The average hospital cost and charge of readmission were $19,629 and $86,228, respectively. The readmissions were mainly due to liver-related events (26.6%), followed by infection (20.9%). The predictive factors independently associated with readmissions were age, male sex (OR 1.227, 95% CI 1.023-1.472; P = 0.028), renal failure (OR 1.401, 95% CI 1.139-1.723; P = 0.001), diabetes with chronic complications (OR 1.327, 95% CI 1.053-1.672; P = 0.017), complicated hypertension (OR 1.436, 95% CI 1.111-1.857; P = 0.006), peritoneal drainage (OR 1.600, 95% CI 1.092-2.345; P = 0.016), etc. CONCLUSIONS: Patients with ALF are at relatively high risk of early readmission, which imposes a heavy medical and economic burden on society. We need to increase the emphasis placed on early readmission of patients with ALF and establish clinical strategies for their management.

Quality of care transition, patient safety incidents, and patients' health status: a structural equation model on the complexity of the discharge process.

BACKGROUND: The transition of patients between care contexts poses patient safety risks. Discharges to home from inpatient care can be associated with adverse patient outcomes. Quality in discharge processes is essential in ensuring safe transitions for patients. Current evidence relies on bivariate analyses and neglects contextual factors such as treatment and patient characteristics and the interactions of potential outcomes. This study aimed to investigate the associations between the quality and safety of the discharge process, patient safety incidents, and health-related outcomes after discharge, considering the treatments' and patients' contextual factors in one comprehensive model. METHODS: Patients at least 18 years old and discharged home after at least three days of inpatient treatment received a self-report questionnaire. A total of N = 825 patients participated. The assessment contained items to assess the quality and safety of the discharge process from the patient's perspective with the care transitions measure (CTM), a self-report on the incidence of unplanned readmissions and medication complications, health status, and sociodemographic and treatment-related characteristics. Statistical analyses included structural equation modeling (SEM) and additional analyses using logistic regressions. RESULTS: Higher quality of care transition was related to a lower incidence of medication complications (B = -0.35, p < 0.01) and better health status (B = 0.74, p < 0.001), but not with lower incidence of readmissions (B = -0.01, p = 0.39). These effects were controlled for the influences of various sociodemographic and treatment-related characteristics in SEM. Additional analyses showed that these associations were only constant when all subscales of the CTM were included. CONCLUSIONS: Quality and safety in the discharge process are critical to safe patient transitions to home care. This study contributes to a better understanding of the complex discharge process by applying a model in which various contextual factors and interactions were considered. The findings revealed that high quality discharge processes are associated with a lower likelihood of patient safety incidents and better health status at home even, when sociodemographic and treatment-related characteristics are taken into account. This study supports the call for developing individualized, patient-centered discharge processes to strengthen patient safety in care transitions.

Rethinking postoperative care: same-day ileostomy closure discharge improves patient outcomes.

BACKGROUND: The evolution of enhanced recovery pathways (ERPs) in colon and rectal surgery has led to the development of same-day discharge (SDD) procedures for selected patients. Early discharge after diverting loop ileostomy (DLI) closure was first described in 2003. However, its widespread adoption remains limited, with SDD accounting for only 3.2% of all DLI closures in 2005-2006, according to the American College of Surgeons National Surgical Quality Improvement Program database, and rising to just 4.1% by 2016. This study aimed to compare the outcomes of SDD DLI closure with those of DLI closure after the standard ERP. METHODS: A retrospective case-matched study compared 125 patients undergoing SDD DLI closure with 250 patients undergoing DLI closure after the standard ERP based on age (±1 year), sex, American Society of Anesthesiologists score, body mass index, surgery date (±2 months), underlying disease, and hospital site. The primary outcome was comparative 30-day complication rates. RESULTS: Patients in the traditional ERP group received more intraoperative fluids (1221.1 ± 416.6 vs 1039.0 ± 368.3 mL, P < .001) but had similar estimated blood loss. Ten patients (8%) in the SDD-ERP group failed SDD. The 30-day postoperative complication rate was significantly lower in the SDD group (14.8%) than the standard ERP group (25.7%, P = .025). This difference was primarily driven by a lower incidence of ileus in the SDD group (9.6% vs 14.8%, P = .034). There were no significant differences in readmission rate (9.6% of SDD-ERP vs 9.2% of standard ERP, P = .900) and reoperation rates (3.2% of SDD-ERP vs 2.4% of standard ERP, P = .650). CONCLUSION: SDD ileostomy closure is a safe, feasible, and effective procedure associated with fewer complications than the present study's standard ERP. This could represent a new standard of care. Further prospective trials are required to confirm the findings of this study.

The principles of enhanced recovery after percutaneous endoscopic gastrostomy (ERaPEG): a UK tertiary center experience.

PURPOSE: Enhanced recovery after surgery (ERAS) pathways have been shown to improve surgical outcomes and patient satisfaction. The aim of the study was to assess whether the implementation of a perioperative enhanced recovery after percutaneous endoscopic gastrostomy (ERaPEG) pathway based on ERAS principles was safe, satisfactory to parents and improved outcomes. METHODS: Following a quality improvement project, a multimodal ERaPEG pathway was introduced as standard practice within the department and children undergoing elective same-day admission percutaneous endoscopic gastrostomy (PEG) at a single UK tertiary center were prospectively enrolled. Exclusion criteria were patients undergoing other concurrent procedures and those who underwent a laparoscopic assisted/open procedure. Data included patient demographics, underlying diagnosis, indication, length of stay (LOS) and 30-day readmission. Parental experience and satisfaction were determined using a questionnaire including 5-point Likert scales. A retrospective cohort was used for comparison. Data were analyzed using Chi-Square test and Mann-Whitney U tests. RESULTS: Ninety-five patients met the inclusion criteria: 50 pre and 45 post the implementation of ERaPEG. Median age was 3 and 2 years, respectively. Neurodisability was the underlying diagnosis in most patients (84%-pre-ERaPEG; 76%-post-ERaPEG). Most common PEG indication was medication/nutritional supplementation (52%-pre-ERaPEG; 51%-post-ERaPEG). The LOS significantly decreased from a median of 51.5 h (pre-ERaPEG) to 32 h (post-ERaPEG) (p < 0.001). Thirty-day readmission rates were similar (6% vs 11%). Most parents felt that the educational material was easy to access and understand. Post-operatively the majority of parents (≥ 80%) were confident in managing the gastrostomy device, setting up/giving the feeds and also felt that the LOS was appropriate. CONCLUSION: This study shows that the implementation of an ERaPEG pathway significantly reduced LOS following PEG. In addition, the pathway was satisfactory to parents and offered the benefit of improved resource utilization.

Area Deprivation and Postpartum Readmission Facility Location and Timing.

This cohort study evaluates the role that community-level socioeconomic status plays in hypertension-related hospital readmission within 12 weeks after delivery.

Inpatient-level care at home delivered by virtual wards and hospital at home: a systematic review and meta-analysis of complex interventions and their components.

BACKGROUND: Technology-enabled inpatient-level care at home services, such as virtual wards and hospital at home, are being rapidly implemented. This is the first systematic review to link the components of these service delivery innovations to evidence of effectiveness to explore implications for practice and research. METHODS: For this review (registered here https://osf.io/je39y ), we searched Cochrane-recommended multiple databases up to 30 November 2022 and additional resources for randomised and non-randomised studies that compared technology-enabled inpatient-level care at home with hospital-based inpatient care. We classified interventions into care model groups using three key components: clinical activities, workforce, and technology. We synthesised evidence by these groups quantitatively or narratively for mortality, hospital readmissions, cost-effectiveness and length of stay. RESULTS: We include 69 studies: 38 randomised studies (6413 participants; largely judged as low or unclear risk of bias) and 31 non-randomised studies (31,950 participants; largely judged at serious or critical risk of bias). The 69 studies described 63 interventions which formed eight model groups. Most models, regardless of using low- or high-intensity technology, may have similar or reduced hospital readmission risk compared with hospital-based inpatient care (low-certainty evidence from randomised trials). For mortality, most models had uncertain or unavailable evidence. Two exceptions were low technology-enabled models that involve hospital- and community-based professionals, they may have similar mortality risk compared with hospital-based inpatient care (low- or moderate-certainty evidence from randomised trials). Cost-effectiveness evidence is unavailable for high technology-enabled models, but sparse evidence suggests the low technology-enabled multidisciplinary care delivered by hospital-based teams appears more cost-effective than hospital-based care for those with chronic obstructive pulmonary disease (COPD) exacerbations. CONCLUSIONS: Low-certainty evidence suggests that none of technology-enabled care at home models we explored put people at higher risk of readmission compared with hospital-based care. Where limited evidence on mortality is available, there appears to be no additional risk of mortality due to use of technology-enabled at home models. It is unclear whether inpatient-level care at home using higher levels of technology confers additional benefits. Further research should focus on clearly defined interventions in high-priority populations and include comparative cost-effectiveness evaluation. TRIAL REGISTRATION: https://osf.io/je39y .