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STUDY DESIGN: Retrospective review of multicentric data. OBJECTIVES: The modified 5-item frailty index is a relatively new tool to assess the post-operative complication risks. It has been recently shown a good predictive value after posterior lumbar fusion. We aimed to compare the predictive value of the modified 5-item frailty index in cervical, thoracic and lumbar surgery. METHODS: The American College of Surgeons - National Surgical Quality Improvement Program (ACS-NSQIP) Database 2015-2020 was used to identify patients who underwent elective posterior cervical, thoracic, or lumbar fusion surgeries for degenerative conditions. The mFI-5 score was calculated based on the presence of 5 co-morbidities: congestive heart failure within 30 days prior to surgery, insulin-dependent or noninsulin-dependent diabetes mellitus, chronic obstructive pulmonary disease or pneumonia, partially dependent or totally dependent functional health status at time of surgery, and hypertension requiring medication. Multivariate analysis was used to assess the independent impact of increasing mFI-5 score on the postoperative morbidity while controlling for baseline clinical characteristics. RESULTS: 53 252 patients were included with the mean age of 64.2 ± 7.2. 7946 suffered medical complications (14.9%), 1565 had surgical complications (2.9%), and 3385 were readmitted (6.3%), 363 died (.68%) within 30 days postoperative (6.3%). The mFI-5 items score was significantly associated with higher rates of complications, readmission, and mortality in cervical, thoracic, and lumbar posterior fusion surgery. CONCLUSION: The modified 5-item frailty score is a reliable tool to predict complications, readmission, and mortality in patients planned for elective posterior spinal fusion surgery.

Aim: This observational study investigated the association between remdesivir treatment during hospitalization for COVID-19 and 30-day COVID-19-related and all-cause readmission across different variants time periods. Patients & methods: Hospitalization records for adult patients discharged from a COVID-19 hospitalization between 1 May 2020 to 30 April 2022 were extracted from the US PINC AI Healthcare Database. Likelihood of 30-day readmission was compared among remdesivir-treated and nonremdesivir-treated patients using multivariable logistic regression models adjusted for age, corticosteroid treatment, Charlson comorbidity index and intensive care unit stay during the COVID-19 hospitalization. Analyses were stratified by maximum supplemental oxygen requirement and variant time period (pre-Delta, Delta and Omicron). Results: Of the 440,601 patients discharged alive after a COVID-19 hospitalization, 248,785 (56.5%) patients received remdesivir. Overall, remdesivir patients had a 30-day COVID-19-related readmission rate of 3.0% and all-cause readmission rate of 6.3% compared with 5.4% and 9.1%, respectively, for patients who did not receive remdesivir during their COVID-19 hospitalization. After adjusting for demographics and clinical characteristics, remdesivir treatment was associated with significantly lower odds of 30-day COVID-19-related readmission (odds ratio 0.60 [95% confidence interval: 0.58-0.62]), and all-cause readmission (0.73 [0.72-0.75]). Significantly lower odds of 30-day readmission in remdesivir-treated patients was observed across all variant time periods. Conclusion: Treating patients hospitalized for COVID-19 with remdesivir is associated with a statistically significant reduction in 30-day COVID-19-related and all-cause readmission across variant time periods. These findings indicate that the clinical benefit of remdesivir may extend beyond the COVID-19 hospitalization.

OBJECTIVES: To determine the frequency of and risk factors for increased postsepsis healthcare utilization compared with pre-sepsis healthcare utilization. DESIGN: Retrospective observational cohort study. SETTING: Years 2016-2019 MarketScan Commercial and Medicaid Database. PATIENTS: Children (0-18 yr) with sepsis treated in a U.S. hospital. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We measured the frequency of and risk factors for increased healthcare utilization in the 90 days post- vs. presepsis hospitalization. We defined increased healthcare utilization as an increase of at least 3 days in the 90 days post-hospitalization compared with the 90 days pre-hospitalization based on outpatient, emergency department, and inpatient hospitalization. We identified 2801 patients hospitalized for sepsis, of whom 865 (30.9%) had increased healthcare utilization post-sepsis, with a median (interquartile range [IQR]) of 3 days (1-6 d) total in the 90 days pre-sepsis and 10 days (IQR, 6-21 d) total in the 90 days post-sepsis (p < 0.001). In multivariable models, the odds of increased healthcare use were higher for children with longer lengths of hospitalization (> 30 d adjusted odds ratio [aOR], 4.35; 95% CI, 2.99-6.32) and children with preexisting complex chronic conditions, specifically renal (aOR, 1.47; 95% CI, 1.02-2.12), hematologic/immunologic (aOR, 1.34; 95% CI, 1.03-1.74), metabolic (aOR, 1.39; 95% CI, 1.08-1.79), and malignancy (aOR, 1.89; 95% CI, 1.38-2.59). CONCLUSIONS: In this nationally representative cohort of children who survived sepsis hospitalization in the United States, nearly one in three had increased healthcare utilization in the 90 days after discharge. Children with hospitalizations longer than 30 days and complex chronic conditions were more likely to experience increased healthcare utilization. [ABSTRACT FROM AUTHOR]

Background: Adequate energy intake is essential for good clinical outcomes. The association between energy intake and readmission burden of patients with heart failure (HF) still needs to be clarified. Objective: In this study, our aim was to determine the association between energy intake and readmission in patients with HF. Methods: A total of 311 inpatientswith HF were recruited. Demographic and clinical information were collected during hospitalization; the daily diets of the participants were collected in the second week after discharge using the 3-day diet record, and the energy intake was calculated using a standardized nutrition calculator. The inadequate energy intake was defined as <70% x 25 kcal/kg of ideal body weight. The participantswere followed up for 12weeks after discharge. The number, reasons, and length of stay of unplanned readmissions were collected. Regression analyses were used to evaluate the associations between inadequate energy intake, and readmission rate and readmission days. Results: The median of the energy intake of participantswas 1032 (interquartile range, 809-1266) kcal/d. The prevalence of inadequate energy intakewas 40%. Patientswith inadequate energy intake had a higher risk of unplanned readmission (odds ratio, 5.616; 95% confidence interval, 3.015-10.462; P < .001) and more readmission days (incidence rate ratio, 5.226; 95% confidence interval, 3.829-7.134, P < .001) after adjusting for potential confounders. Conclusions: Patients with HF had a high incidence of inadequate dietary energy intake, and it increases the burden of readmission. [ABSTRACT FROM AUTHOR]

• Nineteen percent of hospital survivors from sepsis were readmitted within 30 days (median=8 days). • Severity of sepsis did not predict readmission. • Readmission within 30 days after sepsis was associated with a 56 % higher risk of death. Sepsis is associated with an approximately 20 % 30-day readmission rate and with subsequent mortality. To determine the demographics, comorbidities that had been documented prior to sepsis onset, processes of care, commonly administered laboratory tests measured near discharge, and post-sepsis infections that may be associated with readmission and, secondarily, whether readmission is an independent risk factor for 90-day mortality. Using a database of patients who met Sepsis-3 criteria divided into Construction and Validation groups, we used logistic regression to estimate the factors independently associated with readmission within 30 days after discharge and proportional hazard regression to estimate the factors independently associated with 90-day mortality. Of the 30,798 patients ≥ 18 years at our combined referral and community hospital and were discharged alive who met Sepsis-3 criteria between July 10, 2009 and September 7, 2019, 5943 (19 %) were readmitted within 30 days. Thirteen thousand, four hundred forty-four (44 %) of the patients were female, 25,293 (82 %) White, 3523 (11 %) Black, and the mean age was 59 ± 17 years. Among the readmitted patients, 894 (15 %) died within 90 days from the original discharge compared to 11 % (p < 0.001) who had not been readmitted. Seven comorbidities, five processes of care (presepsis platelet transfusion, postsepsis platelet transfusion, operation, ICU length of stay, and hospital length of stay), five culture results, two discharge laboratory values, and discharge location were associated with readmission. The model had good discrimination, 0.770 ± 0.004 (Construction Group) and 0.748 ± 0.006 (Validation Group) and good relevancy (area under the precision recall curve), 0.390 ± 0.004 (Construction group) and 0.476 ± 0.005 (Validation group). Readmission within 30 days was independently associated with a 56 % higher risk of death (HR=1.562, 95 % CI=1.434, 1.703, p < 0.001) within 90 days from discharge. Comorbidities, abnormal laboratory values, processes of care, and post-sepsis onset culture results, but not demographic characteristics, were associated with 30-day readmission. Readmission was associated with 90-day mortality. [ABSTRACT FROM AUTHOR]

The rate of unplanned hospital readmissions following total hip arthroplasty (THA) varies from 3 to 10%, representing a major economic burden. However, it is unknown if specific factors are associated with different types of complications (ie, medical or orthopaedic-related) that lead to readmissions. Therefore, this study aimed to: (1) determine the overall, medical-related, and orthopaedic-related 90-day readmission rate; and (2) develop a predictive model for risk factors affecting overall, medical-related, and orthopaedic-related 90-day readmissions following THA. A prospective cohort of primary unilateral THAs performed at a large tertiary academic center in the United States from 2016 to 2020 was included (n = 8,893 patients) using a validated institutional data collection system. Orthopaedic-related readmissions were specific complications affecting the prosthesis, joint, and surgical wound. Medical readmissions were due to any other cause requiring medical management. Multivariable logistic regression models were used to investigate associations between prespecified risk factors and 90-day readmissions, as well as medical and orthopaedic-related readmissions independently. Overall, the rate of 90-day readmissions was 5.6%. Medical readmissions (4.2%) were found to be more prevalent than orthopaedic-related readmissions (1.4%). The area under the curve for the 90-day readmission model was 0.71 (95% confidence interval: 0.69 to 0.74). Factors significantly associated with medical-related readmissions were advanced age, Black race, education, Charlson Comorbidity Index, surgical approach, opioid overdose risk score, and nonhome discharge. In contrast, risk factors linked to orthopaedic-related readmissions encompassed body mass index, patient-reported outcome measure phenotype, nonosteoarthritis indication, opioid overdose risk, and nonhome discharge. Of the overall 90-day readmissions following primary THA, 75% were due to medical-related complications. Our successful predictive model for complication-specific 90-day readmissions highlights how different risk factors may disproportionately influence medical versus orthopaedic-related readmissions, suggesting that patient-specific, tailored preventive measures could reduce postoperative readmissions in the current value-based health care setting. [ABSTRACT FROM AUTHOR]

Objective Unplanned readmissions following a hospitalization remain common despite significant efforts to curtail these. Wearable devices may offer help identify patients at high risk for an unplanned readmission. Materials and Methods We conducted a multi-center retrospective cohort study using data from the All of Us data repository. We included subjects with wearable data and developed a baseline Feedforward Neural Network (FNN) model and a Long Short-Term Memory (LSTM) time-series deep learning model to predict daily, unplanned rehospitalizations up to 90 days from discharge. In addition to demographic and laboratory data from subjects, post-discharge data input features include wearable data and multiscale entropy features based on intraday wearable time series. The most significant features in the LSTM model were determined by permutation feature importance testing. Results In sum, 612 patients met inclusion criteria. The complete LSTM model had a higher area under the receiver operating characteristic curve than the FNN model (0.83 vs 0.795). The 5 most important input features included variables from multiscale entropy (steps) and number of active steps per day. Discussion Data available from wearable devices can improve ability to predict readmissions. Prior work has focused on predictors available up to discharge or on additional data abstracted from wearable devices. Our results from 35 institutions highlight how multiscale entropy can improve readmission prediction and may impact future work in this domain. Conclusion Wearable data and multiscale entropy can improve prediction of a deep-learning model to predict unplanned 90-day readmissions. Prospective studies are needed to validate these findings. [ABSTRACT FROM AUTHOR]

Over one-third of Medicare beneficiaries discharged to nursing facilities require readmission. When those readmissions are to a different hospital than the original admission, or "fragmented readmissions," they carry increased risks of mortality and subsequent readmissions. This study examines whether Medicare beneficiaries readmitted from a nursing facility are more likely to have a fragmented readmission than beneficiaries readmitted from home among a 2018 cohort of Medicare beneficiaries, and examined whether this association was affected by a diagnosis of Alzheimer's Disease (AD). In fully adjusted models, readmissions from a nursing facility were 19% more likely to be fragmented (AOR 1.19, 95% CI 1.16, 1.22); this association was not affected by a diagnosis of AD. These results suggest that readmission from nursing facilities may contribute to care fragmentation for older adults, underscoring it as a potentially modifiable pre-hospital risk factor for fragmented readmissions. [ABSTRACT FROM AUTHOR]

Background: Readmissions in psychiatric inpatient care may reflect problems in the provision of care, but the underlying factors are not well known. We examined the associations of patient characteristics (sociodemographic factors, diagnoses), treatment (duration, previous episodes, neuromodulation) and ward overload with psychiatric inpatient readmissions and multiple readmissions in Finland. Methods: We used a routinely collected data pool from one hospital district and followed all 2052 hospitalizations that started in 2018. The outcomes were readmission within 30 days and one year, and among those with readmission, the number of readmissions. Results: Of the patients, 11% had readmission within 30 days and 33% had readmission within one year. Women, those with previous hospitalizations, those with an ICD-10 diagnosis from the 'behavioural syndromes associated with physiological disturbances and physical factors / disorders of adult personality and behaviour' group, those with a diagnosis from the 'neurotic, stress-related and somatoform disorders' group, those with psychotic disorders, and those who received neuromodulation treatment were more likely to have readmissions. Having a diagnosis of 'disorders of psychological development' or 'behavioural and emotional disorders with onset usually occurring in childhood and adolescence' was associated with a lower likelihood of readmission. The duration of treatment and ward overload during the index period were not associated with readmission. Conclusions: The findings of this study suggest possible risk factors for readmission and can be used to plan psychiatric care. To some degree, the risk factors varied between different readmission types. It is important to examine whether there are unmet treatment needs in psychiatric inpatient care for children and adolescents. [ABSTRACT FROM AUTHOR]

Background: The geriatric nutritional risk index (GNRI) is a valuable tool that may predict the prognosis of elderly patients with heart failure (HF). Malnutrition and low GNRI scores have been associated with a higher risk of hospitalization and mortality. This study aimed to investigate the association between GNRI and 6‐month readmission for HF in elderly Chinese patients. Materials and Methods: The study utilized data from hospitalized HF patients by combining electronic medical records from the PhysioNet restricted health data database with external outcome data. In our study, we used the GNRI as the independent variable and assessed its association with the risk of readmission within 6 months. The main analytical methods were multivariable Cox regression, stratified analysis with interaction, threshold effect analysis, and Kaplan–Meier survival curves. Results: This study involved 767 elderly HF patients, 61.3% of whom had malnutrition. In the threshold analysis, HF patients' 6‐month readmission risk was significantly reduced with increasing GNRI, with a hazard ratio (HR) and 95% confidence interval (CI) of 0.99 (0.97.1). Malnutrition group was associated with a higher risk of readmission within 6 months for HF patients in analyses that were controlled for confounding factors, with HRs and their 95% CI of 1.17 (0.99, 1.38), 1.18 (1, 1.4), and 1.44 (1.08,1.93), respectively. Subgroup analysis showed that GNRI levels had a consistent impact on outcome events, unaffected by covariates. Conclusions: GNRI was negatively correlated with the outcome event of readmission within 6 months in elderly HF patients. Malnutrition group showed a higher risk of readmission within 6 months. [ABSTRACT FROM AUTHOR]

ABSTRACT Objective Methods Results Conclusion This study aims to evaluate the predictive performance and methodological quality of post‐stroke readmission prediction models, identify key predictors associated with readmission, and provide guidance for selecting appropriate risk assessment tools.A comprehensive literature search was conducted from inception to February 1, 2024. Two independent researchers screened the literature and extracted relevant data using the CHARMS checklist.Eleven studies and 16 prediction models were included, with sample sizes ranging from 108 to 803,124 cases and outcome event incidences between 5.2% and 50.0%. The four most frequently included predictors in the models were length of stay, hypertension, age, and functional disability. Twelve models reported an area under the curve (AUC) ranging from 0.520 to 0.940, and five models provided calibration metrics. Only one model included both internal and external validation, while six models had internal validation. Eleven studies were found to have a high risk of bias (ROB), predominantly in the area of data analysis.This systematic review included 16 readmission prediction models for stroke, which generally exhibited good predictive performance and can effectively identify high‐risk patients likely to be readmitted. However, the generalizability of these models remains uncertain due to methodological limitations. Rather than developing new readmission prediction models for stroke, the focus should shift toward external validation and the iterative adaptation of existing models. These models should be tailored to local settings, extended with new predictors if necessary, and presented in an interactive graphical user interface. [ABSTRACT FROM AUTHOR]

Background: Robotic-assisted technologies have been developed to increase surgical precision and reduce surgical variability in total knee arthroplasty (TKA). Several different robotic systems have been introduced in the last decade for TKA. The DePuy Synthes VELYS™ Robotic-Assisted Solution (VRAS) is an imageless system designed to eliminate the need for preoperative CT scans and is one of the latest entrants in the rapidly evolving field of robotic technology in TKA. This study compared the clinical and economic outcomes associated with VRAS and other robotic-assisted technologies for primary TKA. Methods: A retrospective cohort study using the Premier Healthcare Database included patients who underwent primary TKA with VRAS or other robotic-assisted technologies from January 1, 2022, to April 30, 2023. The primary outcome for the study was hospital follow-up visits (revisits) within 90 days post-TKA. Secondary outcomes included readmission and revision rates within 90 days post-TKA, operating room time, length of stay, discharge status and hospital costs. Cohorts were balanced using propensity score fine stratification, and generalized linear models were constructed to evaluate outcomes. Results: This study included 827 VRAS TKA patients and 16,428 TKA patients treated with other robotic-assisted technologies. The 90-day all-cause and knee-related revisit rates were significantly lower for VRAS than for other robotic-assisted technologies (all-cause 13.9% vs. 22.8% and knee-related 2.8% vs. 5.4%, respectively; p value < 0.01). The all-cause and knee-related 90-day readmission rates were also lower for VRAS, although the differences were not statistically significant. The 90-day revision rates were similar for VRAS and other robotic-assisted technologies (0.48% vs. 0.45%), as was the operating room time (138 vs. 137 min). The 90-day knee-related cost for the VRAS cohort was $15,048 compared to $16,867 for other robotic technologies. Conclusions: This database study demonstrated that early postoperative revisit rates and total cost of care are lower for VRAS than for all other robotic-assisted technologies for TKA, while operating room time and discharge status were similar. These are important findings in ever-evolving healthcare systems that are increasingly cost conscious and cognizant of principles associated with value-based care. [ABSTRACT FROM AUTHOR]

Introduction: Malignancy-related ascites (MRA) is a common serious complication of many advanced malignant tumors with high morbidity and mortality. The high hospital expenditures induced by unplanned readmission in patients with MRA have become an urgent issue to the public. We aimed to overall assess the unplanned early readmission rate of patients with MRA and explore the potential risk factors for such readmission. Methods: A retrospective cohort study based on 2018 Nationwide Readmissions Database was performed and patients with MRA were recruited into the analysis. The primary outcome was unplanned 30-day readmission rate and inpatient outcomes. The multivariate logistic regression analysis was performed to evaluate the potential risk factors for such early readmission. Results: Data obtained from 32,457 patients with MRA were analyzed, and of these 7,799 individuals (24.03%) were unplanned readmitted within 30-day follow-up. The mortality rate in the readmitted population was 15.15%. Patients at younger age were at a higher risk of readmission. The morbidities including hypertension (OR=1.117, 95%CI: 1.054-1.184), hyperlipemia (OR=1.075, 95%CI: 1.009-1.146) and diabetes (OR=1.118, 95%CI: 1.053-1.188), gastrointestinal malignancies and peritoneal procedure significantly increased the risk of 30-day readmission in patients with MRA. Discussion: More than one in five patients with MRA was unplanned readmitted within 30-day follow-up. The above risk factors should be timely intervened and the corresponding medical care should be strengthened in patients with MRA to lessen the unplanned readmission and improve the readmission outcomes. [ABSTRACT FROM AUTHOR]

Background: To assess the effect of pneumonia on the risk of mortality and other clinical outcomes in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods: PubMed, EMBASE and Scopus were screened for observational cohort and case-control studies that reported outcomes in AECOPD patients with and without pneumonia. Pooled effect sizes were reported as relative risks (RR) or hazard ratio (HR) for categorical outcomes and as weighted mean difference (WMD) for continuous outcomes. The primary outcome was mortality. Secondary outcomes were risk of admission to intensive care unit (ICU), need for assisted ventilation and readmission as well as duration of stay at the hospital. The certainty of the evidence was assessed using the GRADE approach. Results: Thirteen studies were included. AECOPD patients with pneumonia had significantly higher risk of in-hospital mortality (RR 2.29, 95% CI: 1.40, 3.73), mortality at 1 month (RR 1.84, 95% CI: 1.09, 3.13), and 1 year or more of follow-up (HR 2.30, 95% CI: 1.15, 4.61) compared to AECOPD patients without pneumonia. Pneumonia was associated with significantly higher risk of admission to ICU (RR 2.79, 95% CI: 1.47, 5.28), need for assisted ventilation (RR 2.02, 95% CI: 1.52, 2.67), and longer hospital stay (in days) (WMD 3.31, 95% CI: 2.33, 4.29). The risk of readmission was comparable in the two groups of patients (RR 1.07, 95% CI: 0.97, 1.19). The overall quality of evidence for the outcomes was judged to be "Low". Conclusion: Pneumonia during acute exacerbation of COPD may lead to increases in both short-term and long-term mortality as well as increased hospital stay, need for ventilatory support and admission to ICU. Our findings suggest the need for close monitoring, early intervention, and long-term follow-up, to improve the outcomes in AECOPD patients with concurrent pneumonia. [ABSTRACT FROM AUTHOR]

Irregular migration is rapidly becoming a permanent feature of the twenty-first century. Amid the European "refugee crisis", Italy and Spain represent two major destination countries that are affected by substantial irregular flows. Despite this comparable condition, and notwithstanding the significance of their relevant policies, they have rarely been compared, a gap in the literature that this research addresses through a novel comparative analysis of their irregular migration governance. Following a broad contextualisation of destination countries' strategies against irregular migration, this article delves into the two case studies' external dimension of control policies from the 1990s to 2024 inclusive. In doing so, it assesses the nature of their foreign policy on irregular migration, their specific measures, and their geographical scope. It finds that there is a noticeable convergence towards readmission measures and externalisation, along with the growing use of informal deals. In terms of differences, the article highlights Italy's much higher number of irregular arrivals compared to Spain, and the impact that this has had on domestic debates, priorities, and relevant policy formulation processes. As a novel investigation of two influential case studies, this article therefore contributes to the literature on both externalisation and Italy's and Spain's foreign policy. [ABSTRACT FROM AUTHOR]

Population-based studies on the cause of readmission within 90 days after surgery or radiotherapy for metastatic spine tumors are scarce. We aimed to investigate the risk factors for readmission within 90 days after initial surgical or radiation treatment for metastatic spine tumors. Patients who were diagnosed with metastatic spine tumors between 2012 and 2019 and underwent spinal magnetic resonance imaging within 1 year were classified according to treatment (surgical or radiotherapy groups), and the causes of the 90-day readmission and patient characteristics were compared. Overall, data from 15,815 patients (surgical group, 13,974 patients; radiotherapy group, 1841 patients) were evaluated. Radiotherapy was preferred in younger and male patients with a high Charlson Comorbidity Index, whereas surgery was mainly performed in patients with lumbar metastasis. Radiotherapy, age of 30–69 years, male sex, and Charlson Comorbidity Index >1 increased the risk of 90-day readmission in patients with metastatic spine tumors. The main causes of 90-day readmission among patients with metastatic spine tumors who received radiotherapy included tumor recurrence, chemotherapy, radiotherapy, and treatment of other organ metastases with radiotherapy. These study findings offer a better understanding of the causes of readmission following radiotherapy or surgical treatment in patients with metastatic spine tumors, and these results can help reduce postoperative morbidity and medical costs among these patients. [ABSTRACT FROM AUTHOR]

Purpose: Scoliosis surgery is becoming increasingly frequent. Rate of readmission is little discussed in the literature. It is an interesting data for the patient's information and for public authorities to calculate cost-effectiveness. Aim of the study was to evaluate rate and causes of short and long-term readmissions in patients > 45 years old operated on for a scoliosis primary cases, then to look for predictors of these readmissions. Methods: In this monocentric retrospective cohort study, over 45 years-old scoliosis primary cases operated on between 2015 and 2018 and with a minimum of 2 years follow-up were included. The number of readmissions and their causes were analyzed. Rehospitalized patients (RH) were then compared to non-rehospitalized patients (NRH). Risk factors were sought using a multivariate analysis by logistic regression. Results: 105 patients were included (90% female; 64 ± 8 years). 56% were readmitted at least once. Main cause of readmission as pseudarthrosis (70%). Among the RH patients, fifty-eight required at least one revision. We found no significant difference between RH and NRH, apart from the rate of immediate post-operative medical complications which was significantly higher in RH (17% (n = 11) vs. 4% (n = 2), p = 0.04). According to multivariate analysis, BMI and age were found as predictors of readmission of mechanical origin, and BMI for readmissions of septic origin. Conclusion: The readmission rate after scoliosis surgery was 56%. The main cause was pseudarthrosis. Rehospitalized patients had more immediate post-operative medical complications. The elderly and overweight patients are more likely to be readmitted for mechanical or septic reasons. [ABSTRACT FROM AUTHOR]

Aim: To evaluate the effect of a novel, co‐designed, digital AF educational program, 'INFORM‐AF', to reduce re‐hospitalisation of people with AF. The secondary aims are to examine the effect of the intervention on: (a) reducing cardiovascular‐related hospitalisation, (b) increasing medication adherence, AF‐related knowledge, and Atrial fibrillation (AF)‐related quality of life and (c) determining the cost‐effectiveness of the intervention. Background: AF is an increasingly prevalent cardiac arrythmia that involves complex clinical management. Comprehensive education is essential for successful self‐management of AF and is associated with positive health‐related outcomes. There has been an increase in technology‐based education for AF. However, its effects on hospitalisation, medication adherence and patient‐reported outcomes are unclear. Design: A prospective, randomised (1:1), open‐label, blinded‐endpoint, multicentre clinical trial. Methods: Eligible participants are aged 18 years or above, diagnosed with AF, and own a smartphone. The study will be conducted at two metropolitan hospitals. In the intervention group, participants will receive the AF educational program delivered via Qstream®. In the control group, participants will receive the Stroke Foundation 'Living with AF' booklet. The primary outcome is re‐hospitalisation within 12 months from an indexed presentation or hospital admission. Conclusion: This clinical trial is part of a developing program of work that will examine mHealth educational‐behavioural interventions on cardiovascular outcomes. Findings from this pilot study will inform the development of a digital educational framework for patients living with AF. Implications for the Profession and/or Patient Care: There remain many gaps in providing high‐quality patient education for patients with AF. This trial will test a new theory‐driven, smartphone‐based education program on important clinical outcomes, including rehospitalisation. Impact: This study evaluates a novel, co‐designed, digital AF educational program, 'INFORM‐AF', to reduce the re‐hospitalisation of people with AF.Study results are expected to be reported in 2025.Findings are expected to inform practice recommendations for AF patient education that may be included in future clinical practice guideline recommendations. Reporting Method: SPIRIT Checklist. Patient or Publication Contribution: JL is a consumer co‐researcher on the project and provided critical input into intervention design, and feedback and input across the study duration. [ABSTRACT FROM AUTHOR]

Background: Robot-assisted ventral hernia repair is associated with decreased length of stay and lower complication rates compared with open repair, but acquisition and maintenance of the robotic system is costly. The aim of this was study was to compare the procedure-specific cost of robot-assisted and open ventral and incisional hernia repair including cost of procedure-related readmissions and reoperations within 90 days postoperatively. Methods: Single-center retrospective cohort study of 100 patients undergoing robot-assisted ventral hernia. Patients were propensity-score matched 1:1 with 100 patients undergoing open repairs on age, type of hernia (primary/incisional), and horizontal defect size. The primary outcome of the study was the total cost per procedure in Euros including the cost of a robotic approach, extra ports, mesh, tackers, length of stay, length of readmission, and operative reintervention. The cost of the robot itself was not included in the cost calculation. Results: The mean length of stay was 0.3 days for patients undergoing robot-assisted ventral hernia repair, which was significantly shorter compared with 2.1 days for patients undergoing open repair, P < 0.005. The readmission rate was 4% for patients undergoing robot-assisted ventral hernia repairs and was significantly lower compared with open repairs (17%), P = 0.006. The mean total cost of all robot-assisted ventral and incisional hernia repairs was 1,094 euro compared with 1,483 euro for open repairs, P = 0.123. The total cost of a robot-assisted incisional hernia repair was significantly lower (1,134 euros) compared with open ventral hernia repair (2,169 euros), P = 0.005. Conclusions: In a Danish cohort of patients with incisional hernia, robot-assisted incisional hernia repair was more cost-effective than an open repair due to shortened length of stay, and lower rates of readmission and reintervention within 90 days. [ABSTRACT FROM AUTHOR]

Introduction: Migrant women are a heterogenous group with both higher and lower risk for pregnancy complications and adverse birth outcomes compared with women in the receiving countries. This study aimed to investigate women's use of Swedish healthcare postpartum, in terms of hospital stay >48 h, readmission to hospital, and specialized out‐patient clinic visits, in relation to maternal country of birth. Material and Methods: A population‐based register study including 278 219 primiparous and 367 776 multiparous women in Sweden (2014–2019) using data from Swedish Pregnancy Register, National Patient Register and Statistics Sweden. Multivariable logistic regression analyses were used to estimate associations between maternal country of birth and outcomes, adjusting for year of birth, maternal age, education, pre‐gestational hypertension and diabetes, and healthcare region, presented as crude and adjusted odds ratios (aOR) with 95% confidence interval (CI) with Swedish‐born women as reference. Results: Subgroups of migrant women had higher odds of postpartum hospital stays > 48 h, particularly women from Eritrea (primiparous aOR 2.80, CI 2.49–3.15; multiparous aOR 2.78, CI 2.59–2.98), Somalia (primiparous aOR 2.61, CI 2.34–2.92; multiparous aOR 1.87, CI 1.79–1.97), and India (primiparous aOR 2.52, CI 2.14–2.97; multiparous aOR 2.61, CI 2.33–2.93), compared to Swedish‐born women. Primiparous women from Afghanistan (aOR 1.32, CI 1.08–1.6), Iraq (aOR 1.30, CI 1.16–1.46), and Iran (aOR 1.23, CI 1.04–1.45) had slightly higher odds of hospital readmission, along with multiparous women from India (aOR 1.34, CI 1.02–1.76) and Somalia (aOR 1.24, CI 1.11–1.38). Specialized out‐patient clinic visits were most common in primiparous women from Somalia (aOR 1.47, CI 1.35–1.59), Iran (aOR 1.31, CI 1.22–1.42) and Afghanistan (aOR 1.31, CI 1.18–1.46), and in multiparous women from Iran (aOR 1.30, CI 1.20–1.41) and Iraq (aOR 1.15, CI 1.11–1.20), however less common in women from some other countries. Conclusions: The use of Swedish health care during the postpartum period varied among women, depending on their country of birth. Women from certain countries had particularly high odds of postpartum hospital stays exceeding 48 h, compared to Swedish‐born women, regardless of parity and pre‐gestational medical disorders. Further studies are needed to determine whether the individual needs of migrant women are being met during the postpartum period or not. [ABSTRACT FROM AUTHOR]

Despite the growing adoption of transcatheter aortic valve replacement (TAVR), there remains a lack of clinical data evaluating procedural safety and discharge practices. This study aims to investigate if there have been improvements in postoperative clinical outcomes following TAVR. In this large-scale, retrospective cohort study, patients who underwent TAVR as an inpatient were identified from 2016 to 2020 using the National Readmissions Database. The primary outcome was temporal trends in the rates of discharge to home. Secondary endpoints assessed annual discharge survival rates, 30-day readmissions, length of stay, and periprocedural cardiac arrest rates. Over the 5-year study period, a total of 31,621 inpatient TAVR procedures were identified. Of these, 79.2 % of patients were successfully discharged home with home disposition increasing year-over-year from 74.5 % in 2016 to 85.9 % in 2020 (Odds ratio: 2.01; 95 % CI 1.62–2.48, p < 0.001). The mean annual discharge survival rate was 97.7 % which did not change significantly over the 5-year study period (p = 0.551). From 2016 to 2020, 30-day readmissions decreased from 14.0 % to 10.3 %, respectively (p = 0.028). Perioperative cardiac arrest occurred in 1.8 % (n = 579) of cases with rates remaining unchanged during the study (p = 0.674). Most TAVR patients are successfully discharged alive and home, with decreasing 30-day readmissions observed over recent years. This data suggests potential improvements in preoperative planning, procedural safety, and postoperative care. Despite perioperative cardiac arrest being associated with high mortality, it remains a relatively rare complication of TAVR. • From 2016 to 2020, 31,621 inpatient TAVR procedures were identified. • Home discharges after TAVR rose from 74.5 % in 2016 to 85.9 % in 2020. • Over the 5-year study period, the mean annual discharge survival rate was 97.7 %. • 30-day readmissions after TAVR have improved from 14.0 % in 2016 to 10.3 % in 2020. • Cardiac arrest remains a rare complication after TAVR, occurring in 1.8 % of cases. [ABSTRACT FROM AUTHOR]

Background: Gender differences in psychosis are a topic that has been studied considering different aspects. Although some available evidence would point to a possible better prognosis in women, this claim is far from conclusively established. Methods: We propose an analysis of gender differences in the risk of readmission to an acute hospitalization unit, an indicator related to prognosis. Results and conclusions: We found that although the risk of readmission at 1 year is lower in women, this seems to be explained by other confounding factors. [ABSTRACT FROM AUTHOR]

Aims: There is a lack of tools for accurately identifying the risk of readmission for heart failure in elderly patients with arrhythmia. The aim of this study was to establish and compare the performance of the LACE [length of stay ('L'), acute (emergent) admission ('A'), Charlson comorbidity index ('C') and visits to the emergency department during the previous 6 months ('E')] index and machine learning in predicting 1 year readmission for heart failure in elderly patients with arrhythmia. Methods: Elderly patients with arrhythmia who were hospitalized at Sichuan Provincial People's Hospital between 1 June 2018 and 31 May 2020 were enrolled. The LACE index was calculated for each patient, and the area under the receiver operating characteristic curve (AUROC) was calculated. Six machine learning algorithms, combined with three variable selection methods and clinically relevant features available at the time of hospital discharge, were used to develop machine learning models. AUROC and area under the precision–recall curve (AUPRC) were used to assess discrimination. Shapley additive explanations (SHAP) analysis was used to explain the contributions of the features. Results: A total of 523 patients were enrolled, and 108 patients experienced 1 year hospital readmission for heart failure. The AUROC of the LACE index was 0.5886. The complete machine learning model had the best predictive performance, with an AUROC of 0.7571 and an AUPRC of 0.4096. The most important predictors for 1 year readmission were educational level, total triiodothyronine (TT3), aspartate aminotransferase/alanine aminotransferase (AST/ALT), number of medications (NOM) and triglyceride (TG) level. Conclusions: Compared with the LACE index, the machine learning model can accurately identify the risk of 1 year readmission for heart failure in elderly patients with arrhythmia. [ABSTRACT FROM AUTHOR]

Background: Patients affected by ulcerative colitis (UC) often require surgery, involving two or three-stage procedures, including ileostomy creation. While ileostomy has some advantages, it can lead to complications, such as dehydration. The aim of this study was to evaluate the impact of a new individualized stoma-therapeutic-care-pathway (STCP) on dehydration-related readmissions. Secondary endpoints were stoma-related complications. Methods: The study compares two series of consecutive patients with UC undergoing diverting ileostomy during restorative ileo-pouch-anal-anastomosis. The STCP group consists of patients enrolled from January 2020 to December 2021 who followed the pathway. The older group was selected from 2015 to 2017 (control group). Clinical data were collected, including patient characteristics, hospital stay, complications, and readmissions. The study was approved by the local institutional review board. Results: Overall, 30-day dehydration-related readmission occurred in one (1.4%) versus nine (15.3%) patients in the STCP group versus control group, respectively (p = 0.005). In-hospital peristomal skin complications were significantly lower in STCP group (6 patients, 8.5%) versus control (35, 59.3%), as well as ostomy complications that occurred in 5 (7%) patients in the STCP group versus 8 (13.5%) in the control group (both p < 0.001). Ostomy complications reduced significantly in the STCP group after discharge (two patients, 2.8% versus eight, 13.5%), p = 0.001, and after 30-days (three patients, 4.2% versus five, 8.5%). Conclusions: This study underscores the effectiveness of STCP in reducing dehydration-related readmissions and stoma-related complications in patients with UC undergoing stoma creation. It emphasizes the significance of patient education, close follow-up, and multidisciplinary care. Further research and standardized stoma education are essential. [ABSTRACT FROM AUTHOR]

Background: Gaps in discharge planning are experienced by 41% of hospital patients in Australia. There is an established body of knowledge regarding the features of the discharge process that need to be improved to avoid subsequent hospital readmission and enhance the discharge experience. However, many of these studies have focused solely on factors related to unplanned hospital readmissions and there has been limited success in operationalising improvements to the discharge process. The aim of this study was to explore and describe the factors that influence the decision to discharge adult medical patients from hospital, from patient, carer and staff perspectives. Methods: A qualitative descriptive study was conducted in one acute medical ward in Melbourne, Australia. The study data were collected by observations of clinical practice and semi-structured interviews with patients, carers and staff. Participants were: i) English-speaking adults identified for discharge home, ii) patient carers, and iii) staff involved in the discharge process. Observation data were analysed using content analysis and interviews data were analysed using thematic analysis. Results: Twenty-one discharges were observed, and 65 participants were interviewed: 21 patients, two carers, and 42 staff. Most patients (76%) were identified as being ready for discharge during morning medical rounds, and 90% of discharge decisions were made collaboratively by the medical team and the patient. Carers were observed to be notified in 15 discharges by the patient (n = 8), doctors (n = 4), or nursing staff (n = 3). Five themes were constructed from thematic analysis of interviews: Readiness for Home, Fragmented Collaboration, Health Literacy, Unrealistic Expectations, and Care beyond Discharge. A collaborative team and supportive carers were considered to enhance risk assessment and discharge planning, however fragmented communication between clinicians, and between clinicians and patients/carers was a barrier to discharge decision-making. Conclusions: Our study highlights the need for a more coordinated approach to discharge decision-making that optimises communication with patients and carers and multidisciplinary workflows and reduces fragmentation. The importance of patient-centred care and a personalised approach to care are well established. However, there is a need to design systems to customise the entirety of the patient journey, including the approach to discharge decision making. [ABSTRACT FROM AUTHOR]

ABSTRACT Objective Design Setting Population Methods Main Outcome Measures Results Conclusions To determine the change in English emergency postnatal maternal readmissions 2007–2017 (pre‐COVID‐19) and the association with maternal demographics, obstetric risk factors and postnatal length of stay (LOS).National cohort study.All English National Health Service hospitals.A total of 6 192 140 women who gave birth in English NHS hospitals from April 2007 to March 2017.Statistical analysis using birth and readmission data from routinely collected National Hospital Episode Statistics (HES) database.Rate of emergency postnatal maternal hospital readmissions related to pregnancy or giving birth within 42 days postpartum, readmission diagnoses and association with maternal demographic factors, obstetric risk factors and postnatal LOS.A significant increase in the rate of emergency postnatal maternal readmissions from 15 128 (2.5%) in 2008 to 20 734 (3.4%) in 2016 (aOR 1.32, 95% CI 1.28–1.37) was found. Risk factors for readmission included minoritised ethnicity (particularly Black or Black British ethnicity: aOR 1.35, 95% CI 1.31–1.39); age < 20 years (aOR 1.09, 95% CI 1.05–1.12); 40+ years (aOR 1.07, 95% CI 1.03–1.10); primiparity (multiparity: aOR 0.92, 95% CI 0.91–0.93); nonspontaneous vaginal birth modes (emergency caesarean: aOR 1.86, 95% CI 1.82–1.90); longer LOS (4+ vs. 0 days: aOR 1.58, 95% CI 1.53–1.64); and obstetric risk factors including urinary retention (aOR 2.34, 95% CI 2.06–2.53) and postnatal wound breakdown (aOR 2.01, 95% CI 1.83–2.21).The concerning rise in emergency maternal readmissions should be addressed from a health inequalities perspective focusing on women from minoritised ethnic groups; those <20 and ≥40 years old; primiparous women; and those with specified obstetric risk factors. [ABSTRACT FROM AUTHOR]

Background/Objectives: Chronic heart failure (CHF) is characterized by complex pathophysiology, leading to increased hospitalizations and mortality. Inflammatory biomarkers such as the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) provide valuable diagnostic insights. Methods: This study evaluates the prognostic relationship between NLR, PLR, and, in a specific subcohort, N-terminal pro B-type natriuretic peptide (NT-proBNP), alongside length of stay (LOS) and 90-day readmission rates in CHF patients, irrespective of heart failure phenotype. A retrospective analysis of 427 CHF admissions (males = 57.84%) was conducted. Results: The mean age of the entire population was 68.48 ± 11.53 years. The average LOS was 8.33 ± 5.26 days, with a readmission rate of 73 visits (17.09%) for 56 patients. The NLR (3.79 ± 3.32) showed a low but positive correlation with the LOS (r = 0.222, p < 0.001). Conversely, the PLR (144.84 ± 83.08) did not demonstrate a significant association with the LOS. The NLR presented a low negative correlation for days until the next admission (r = −0.023, p = 0.048). In a prespecified subanalysis of 323 admissions, the NT-proBNP exhibited a low positive Pearson correlation with the NLR (r = 0.241, p < 0.001) and PLR (r = 0.151, p = 0.006). Conclusions: The impact of the NLR across heart failure phenotypes may suggest the role of systemic inflammation in understanding and managing CHF. [ABSTRACT FROM AUTHOR]

Prognostic outcomes for patients with type 2 diabetes in the intensive care unit (ICU), including mortality and readmission rates, are critical for informed clinical decision-making. Although existing research has established a link between type 2 diabetes and adverse outcomes in the ICU, the potential of machine learning techniques for enhancing predictive accuracy has not been fully realized. This study seeks to develop and validate predictive models employing machine learning algorithms to forecast mortality and 30-day post-discharge readmission rates among ICU type 2 diabetes patients, thereby enhancing predictive accuracy and supporting clinical decision-making. Data were extracted and preprocessed from the MIMIC-III database, focusing on 14,222 patients with type 2 diabetes and their corresponding ICU admission records. Comprehensive information, including vital signs, laboratory results, and demographic characteristics, was utilized. Six machine learning algorithms—bagging, AdaBoost, GaussianNB, logistic regression, MLP, and SVC—were developed and evaluated using 10-fold cross-validation to predict mortality at 3 days, 30 days, and 365 days, as well as 30-day post-discharge readmission rates. The machine learning models demonstrated strong predictive performance for both mortality and readmission rates. Notably, the bagging and AdaBoost models showed superior performance in predicting mortality across various time intervals, achieving AUC values up to 0.8112 and an accuracy of 0.8832. In predicting 30-day readmission rates, the MLP and AdaBoost models yielded the highest performance, with AUC values reaching 0.8487 and accuracy rates of 0.9249. The integration of electronic health record data with advanced machine learning techniques significantly enhances the accuracy of mortality and readmission predictions in ICU type 2 diabetes patients. These models facilitate the identification of high-risk patients, enabling timely interventions, improving patient outcomes, and demonstrating the significant potential of machine learning in clinical prediction and decision support. [ABSTRACT FROM AUTHOR]

Objective Methods Results Conclusions The objective of this study is to identify variables associated with clinical outcomes after urologic transfers before and during the COVID pandemic.After IRB approval, a retrospective chart review was performed on adult patients transferred to our institution from 01/01/2018 to 12/31/2019 (“pre‐COVID”) and from 01/02/2020 to 12/31/2022 (“COVID”). We identified demographics, origin hospitals, ICD‐10 pre‐ and post‐transfer diagnoses, distance of transfer, and post‐transfer CPT codes.During the study period, our adult urology service accepted 160 transfers with a mean patient age of 71 years. A total of 49/160 (30%) of subjects made up the “pre‐COVID” cohort and 111/160 (70%) made up the “COVID” cohort. There were 11/111 (10%) transfers of >100 miles in the COVID period but 0/49 in the pre‐COVID period (p = 0.02). Patients from the COVID period waited on average 1.2 days longer for a procedure after transfer compared to pre‐COVID period (p = 0.03). The time until a patient's surgical procedure after transfer was a significant predictor of length of stay > 5 days (OR 1.91, CI 1.43 – 2.58, p < 0.01). Different diagnosis upon re‐evaluation after transfer was associated with a decreased rate of subsequent readmission (OR 0.30, CI 0.09–0.97, p = 0.05).Long‐distance transfer, even >100 miles (which we termed “mega‐transfers”), was a new pandemic‐related phenomenon at our institution. Delays in definitive care and changes in diagnoses after transfer were associated with readmission and length of stay. Our findings illustrate the importance of inter‐institutional communication, diagnostic accuracy, and post discharge planning when managing transfer patients. [ABSTRACT FROM AUTHOR]

Introduction: Ileostomy, frequently created after colorectal resections, hinders the physiologic function of the colon and can lead to dehydration and acute kidney injury due to high stoma outputs. This study aimed to evaluate the effectiveness of preventive measures on ileostomy-induced dehydration and related readmissions in a high-volume unit. Methods: In this prospective cohort study at a high-volume colorectal surgery department in Turkiye, the Prospective Ileostomy-induced Dehydration Prevention Bundle Project (PIDBP) was assessed from March 2021 to March 2022. The study enrolled patients undergoing colorectal surgery with ileostomy and involved comprehensive inpatient stoma care, education, and a structured post-discharge follow-up. The follow-up included the "Hydration follow-up scale" to monitor ileostomy output and related complications. The primary outcome was the readmission rate due to dehydration-related complications. The patients receiving the bundle intervention were compared with patients treated in the preceding year, focusing on the effectiveness of interventions such as dietary adjustments, fluid therapy, and pharmacological management. Results: In the study, 104 patients were analyzed, divided into 54 pre-bundle and 50 bundle group patients, with no significant differences in patient characteristics. While the overall readmission rate due to dehydration was 12.5%, a significant reduction in dehydration-related readmissions was observed in the bundle group compared to the pre-bundle group (2% vs. 22%, p = 0.002). Univariate analysis identified high stoma output (> 800 ml/24 h) (p < 0.001), chronic renal failure (CRF) (p = 0.01), postoperative ileus (p = 0.03), higher ASA status (p = 0.04), extended hospital stays (p = 0.03), and small bowel resections (especially in J-pouch patients) (p < 0.001) as significant predictors of readmission. Multivariate analysis revealed that the mean ileostomy output before discharge was the sole significant predictor of dehydration-related readmission (OR 1.01), with an optimal cutoff of 877.5 ml/day identified with an area under the curve (AUC) of 0.947, demonstrating high sensitivity (92.3%) and specificity (86.8%) in predicting readmission risk. Conclusion: The Prospective Ileostomy-induced Dehydration Prevention Bundle Project significantly reduced readmission rates after colorectal surgery. [ABSTRACT FROM AUTHOR]

Revision total hip arthroplasty (THA) and total knee arthroplasty (TKA) tremendously burden hospital resources. This study evaluated factors influencing perioperative costs, including emergency department (ED) visits, readmissions, and total costs-of-care within 90 days following revision surgery. A retrospective analysis of 772 revision TKAs and THAs performed on 630 subjects at a single center between January 2007 and December 2019 was conducted. Cost data were available from January 2015 to December 2019 for 277 patients. Factors examined included comorbidities, demographic information, preoperative Anesthesia Society of Anesthesiologists score, implant selection, and operative indication using mixed-effects linear regression models. Among 772 revisions (425 THAs and 347 TKAs), 213 patients required an ED visit, and 90 required hospital readmission within 90 days. There were 22.6% of patients who underwent a second procedure after their initial revision. Liver disease was a significant predictor of ED readmission for THA patients (multivariable odds ratio [OR]: 3.473, P =.001), while aseptic loosening, osteolysis, or instability significantly reduced the odds of readmission for TKA patients (OR: 0.368, P =.014). In terms of ED visits, liver disease increased the odds for THA patients (OR: 1.845, P =.100), and aseptic loosening, osteolysis, or instability decreased the odds for TKA patients (OR: 0.223, P <.001). Increased age was associated with increased costs in both THA and TKA patients, with significant cost factors including congestive heart failure for TKA patients (OR: $7,308.17, P =.004) and kidney disease for THA patients. Revision surgeries took longer than primary ones, with TKA averaging 3.0 hours (1.6 times longer) and THA 2.8 hours (1.5 times longer). Liver disease increases ED readmission risk in revision THA, while aseptic loosening, osteolysis, or instability decreases it in revision TKA. Increased age and congestive heart failure are associated with increased costs. These findings inform postoperative care and resource allocation in revision arthroplasty. Economic and Decision Analysis, Level IV. [ABSTRACT FROM AUTHOR]

Migration governance, migration management and migration crises have been key themes among migration scholars and governments over the last decade. Historically, systemic political economic crises are accompanied by the scapegoating of migrants, often as a strategy to shift the focus away from political and economic decisions taken by states. The EU has been no exception, and political and social tensions around migration are arguably at an all-time high, as European governments aim to protect their interests and manage their borders amidst increasing migration pressures globally. In this paper, we will examine these three EU immigration prevention strategies, with a focus on the recently adopted Pact on Migration and Asylum. Specifically, we ask the following research question: what are the roles of temporariness and return/readmission as important EU strategies to hinder, stop, and exclude the movement of migrants to EU (and Schengen)? [ABSTRACT FROM AUTHOR]

Burn injuries remain a significant cause of disability, impacting long term quality-of-life and imposing large costs on our health systems. Readmission is a metric of quality and an important contributor to this economic burden. The association of socioeconomic and insurance status with burn readmission is not well established. The aim of our study is to develop a predictive risk model of factors associated with readmission after burns. Using the Healthcare Cost and Utilization Project's 2018 Nationwide Readmission Database, we identified patients ≥18 y of age with burns admitted between January and October 2018. We excluded patients who died during index admission. Our primary outcome was readmission within 60 d postdischarge. We performed a Lasso regression analysis with adaptive selection to generate a predictive model with least deviance using patients' demographics and socioeconomic status, burn location and severity, past medical history, and hospital characteristics. Weighted multiple logistic regression was performed to obtain population estimates of adjusted odds ratios (ORs) of each element in the model. Our cohort included 11,380 burn patients. Of those, 1625 (14.3%) were readmitted and 67% were males. Readmitted patients were older (55 ± 17 versus 49 ± 18, P = 0.0001). Weighted logistic regression for the selected model showed higher odds of readmission for patients with lowest income quartile (OR: 1.19, 95% confidence interval [CI]: 1.04-1.36), Medicare or Medicaid insurance (OR: 1.35, 95% CI: 1.17-1.55), history of psychiatric illness (OR:1.19, 95% CI: 1.02-1.39), diabetes (OR: 1.46, 95% CI: 1.25-1.69), chronic kidney disease (OR: 1.66, 95% CI: 1.30-2.11), chronic obstructive pulmonary disease (OR: 1.55, 95% CI:1.26-1.89), and alcohol use disorder (OR: 1.33, 95% CI: 1.13-1.58). Third degree burns and foot burns had higher OR of readmission (OR: 1.21, 95% CI: 1.38-1.98 and 1.66, 95% CI: 1.02-1.45, respectively), while face and hand burns had lower OR of readmission (OR: 0.77, 95% CI: 0.66-0.90 and 0.84, 95% CI: 0.72-0.98, respectively). Burn readmissions are multifactorial and directly related to the patient's comorbidities, including markers that reflect barriers to care such as socioeconomic characteristics, as well as the anatomical location of burn injuries. Early identification of these high-risk patients may aid in early intervention, resource allocation, and outreach program development in an attempt to reduce readmission rates and improve outcomes. Future prospective validation of these risk factors is warranted. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Objective: To determine whether the rates of readmissions and suicide vary in psychotic unipolar depression based on whether patients receive maintenance electroconvulsive therapy (M‐ECT) following the initial series of ECT, and to examine if there is an age‐dependent association. Methods: We used Swedish national registries to identify hospitalized patients with psychotic unipolar depression, treated 2008–2019 who received ECT during their hospital stay. The patients who received subsequent M‐ECT within 14 days after discharge were compared with those who did not. The primary composite outcome was time to readmission due to a psychiatric disorder, suicide attempt, or suicide within 2 years from discharge. Data were analyzed using Cox regression adjusted for previous psychiatric admissions, age, sex, comorbidity, and pharmacological treatment. We also conducted a within‐individual analysis using the sign‐test, with patients having ≥1 hospital episode followed by M‐ECT and ≥1 hospital episode without M‐ECT. Results: A total of 1873 patients were included, of which 130 received M‐ECT. There was no statistically significant group difference regarding the primary outcome in the whole sample. However, when stratified by age, there was a significant difference in favor of M‐ECT for patients >65 years (adjusted hazard ratio 0.55, 95% confidence interval 0.35–0.87). The within‐individual analysis, including 46 patients, significantly favored M‐ECT. Conclusion: M‐ECT was not associated with a differential risk of the composite of readmission and suicide in psychotic depression. Among patients >65 years, M‐ECT was significantly associated with a decreased risk of the outcome. The possibility of residual confounding cannot be excluded. [ABSTRACT FROM AUTHOR]

Objective: To identify risk factors for readmission following methotrexate treatment for tubal pregnancy. Methods: A retrospective study undertaken in two tertiary medical centers, including all individuals with medically treated tubal pregnancy (N = 511), between December 2009 and June 2021. Individuals with and without readmission following methotrexate treatment were compared. The primary outcome was the readmission rate. Secondary outcomes included the rate of post‐discharge gynecological emergency department visits, tubal rupture rate, and the eventual need for surgical treatment. Results: Readmission following methotrexate treatment occurred in 224/511 patients (43.8%). Most readmissions were due to abdominal pain or suspicion of treatment failure. Readmitted individuals were more likely to have a history of pelvic inflammatory disease and pretreatment serum human chorionic gonadotropin (hCG) >2000 mIU/mL. Both factors remained significantly associated with higher readmission rates in a logistic regression analysis (adjusted odds ratio [OR] 6.28, 95% confidence interval [CI] 1.30–30.45, and adjusted OR 2.73, 95% CI 1.83–4.07, respectively) after adjustment for age, endometriosis, tubal pathology, abdominal pain, and presence of yolk sac or embryo at diagnosis. A dose‐dependent association was observed between pretreatment serum hCG levels and readmission rate (P < 0.001). Pretreatment hCG levels were also associated with tubal rupture and the eventual need for surgical treatment (P < 0.001 for both). A prediction model using hCG was not sufficiently accurate to predict readmission risk. Conclusion: Readmission following methotrexate treatment for tubal pregnancy was independently associated with previous pelvic inflammatory disease and pretreatment serum hCG levels. The latter was also associated with surgical intervention rate. Synopsis: Readmission following methotrexate treatment for tubal pregnancy was associated with previous PID and pretreatment hCG levels. The latter was also associated with surgical intervention rate. [ABSTRACT FROM AUTHOR]

Background: Heart failure (HF) is a complex problem characterized by frequent hospitalizations and high 30-day readmission rates. Researchers studying HF readmission report that patients and clinicians have different perspectives on readmission and preventability when unadjusted for disease severity. Objective: The aim of this study was to gather patient, caregiver, nurse, and physician subjective reason(s) for 30-day HF readmission and perceptions of preventability with contextual factors to evaluate differences. Methods: A convergent, parallel, mixed-methods design was used with interviews and chart reviews to evaluate contextual factors from the current and index hospital stay. Adults readmitted within 30 days of a previous inpatient stay with a coded HF diagnosis were enrolled and interviewed, followed by interviews with associated caregivers, attending physicians, and assigned nurses. Results: Interviews were conducted with patients (n = 44), caregivers (n = 6), physicians (n = 24), and nurses (n = 44). Readmissions were emergent/urgent (95%) and occurred within 14.9 days (SD, 8.1; 2-28 days) on average after discharge. Index stay coding revealed that most patients (73%) had a high severity of illness (73%) and risk of mortality (68%). Heart failure stage was inconsistently documented. Patients reported acute symptomatic reasons, with only 32% describing readmission as preventable. Physicians reported diagnostic reasons, 38% of which were preventable. Nurses reported behavioral reasons, with 59% being preventable. Patient/clinician agreement on readmission reason was low(30%). Conclusions: Patient/clinician perspectives on readmission varied among the patients with complex HF. Care planning based on HF stage and other contextual factors is needed to ensure a shared understanding of disease severity and a tailored symptom management approach to prevent readmission. [ABSTRACT FROM AUTHOR]

With increasing survivorship following cerebrovascular accidents (CVAs), more patients with a history of CVA are undergoing total shoulder arthroplasty (TSA). The purpose of this study is to determine the impact of prior CVA on the perioperative outcomes following TSA. The Nationwide Readmissions Database was queried from 2010 to 2019 to identify all patients with a history of CVA undergoing TSA. Eight hundred seventeen cases were identified and case matched on a 1:2 ratio for age, sex, obesity status, and year of procedure. Patient demographic characteristics were collected and analyzed for differences between the 2 groups. Data on length of stay, 180-day complications, 180-day readmissions, and 180-day mortality were collected and analyzed for differences between the 2 groups. Eight hundred seventeen cases of patients with a history of CVA were matched with 1634 patients without a history of CVA undergoing TSA. The average age was 71. Fifty six percent of patients were female, and 23% of patients were obese. Patients with CVA had higher incidence of tobacco use (P <.001), deficiency anemia (P <.001), electrolyte disorders (P <.001), paralysis (P <.001), coagulopathy (P <.001), heart valve disorders (P <.001), history of myocardial infarction (P <.001), and higher rates of chronic diseases, such as hypertension (P <.001), diabetes (P <.001), liver disease (P <.001), congestive heart failure (P <.001), renal failure (P <.001), and peripheral vascular disease (P <.001). Patients with a history of CVA had higher rates of complications, readmissions, and revisions within 180 days (P <.001). One hundred eighty–day mortality was similar between the 2 groups. The average length of stay was 3.2 days in patients with a history of CVA compared to 1.4 days in those without a history of CVA (P <.001). Patients with a history of CVA have a higher rate of medical comorbidities than those without. These patients have higher rates of complications within 180 days of procedure, 180-day readmissions, and 180-day revisions. One hundred eighty–day mortality was similar between the 2 groups. Surgeons should take care to ensure thorough preoperative optimization and risk discussions to try and minimize postoperative adverse outcomes. [ABSTRACT FROM AUTHOR]

To develop and externally validate a prognostic model built on important factors predisposing multimorbid patients to all-cause readmission and/or death. In addition to identify patients who may benefit most from a comprehensive clinical pharmacist intervention. A multivariable prognostic model was developed based on data from a randomised controlled trial investigating the effect of pharmacist-led medicines management on readmission rate in multimorbid, hospitalised patients. The derivation set comprised 386 patients randomised in a 1:1 manner to the intervention group, i.e. with a pharmacist included in their multidisciplinary treatment team, or the control group receiving standard care at the ward. External validation of the model was performed using data from an independent cohort, in which 100 patients were randomised to the same intervention, or standard care. The setting was an internal medicines ward at a university hospital in Norway. The number of patients who were readmitted or had died within 18 months after discharge was 297 (76.9 %) in the derivation set, i.e. the randomized controlled trial, and 69 (71.1 %) in the validation set, i.e. the independent cohort. Charlson comorbidity index (CCI; low, moderate or high), previous hospital admissions within the previous six months and heart failure were the strongest prognostic factors and were included in the final model. The efficacy of the pharmaceutical intervention did not prove significant in the model. A prognostic index (PI) was constructed to estimate the hazard of readmission or death (low, intermediate or high-risk groups). Overall, the external validation replicated the result. We were unable to identify a subgroup of the multimorbid patients with better efficacy of the intervention. A prognostic model including CCI, previous admissions and heart failure can be used to obtain valid estimates of risk of readmission and death in patients with multimorbidity. • A prognostic risk model for readmission/death in multimorbid patients was developed. • Prognostic factors: Charlson comorbidity index, heart failure and previous admission. • A subgroup with better efficacy of the intervention could not be identified. [ABSTRACT FROM AUTHOR]

Introduction: Mortality benefit of digoxin prescription in patients suffering from heart failure has been questioned many time. We evaluated these effects among admitted symptomatic heart failure patients. Methods: We retrospectively divided our patients into two groups: group A (n=205) were digoxin prescribed, and group B (n=96) were digoxin naïve patients. Both groups' medical records were gathered for one year, and the study endpoints were compared between the two groups. Results: The mean age was 62.3±12.1 years and 54.8 % were male. All-cause mortality and readmission occurred in 26.7% and 31.7% of individuals, respectively, without significant differences between the two groups. However, in subgroup analysis, there was a significant relationship between in-hospital mortality and the presence of cardiovascular risk factors. Conclusion: Digoxin might increase in-hospital mortality in patients with underlying cardiovascular risk factors. [ABSTRACT FROM AUTHOR]

Aimaier, Didaer Yisha, Xing Yan Zhang, Ying-Ying Zheng,* Ailiman Mahemuti* The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China *These authors contributed equally to this work Correspondence: Ying-Ying Zheng; Ailiman Mahemuti, Cardiovascular Department of The First Affiliated Hospital of Xinjiang Medical University, 137 Carp Road, Xinshi District, Urumqi, 830054, Xinjiang, People's Republic of China, Tel +86-15214804944 ; +86-13639970300, Email [email protected] ; [email protected] Background: The role of high-density lipoprotein cholesterol (HDL-C) in heart failure (HF) outcomes is contentious. We aimed to assess HDL-C's prognostic value in HF patients. Methods: In this retrospective cohort study (2012– 2022) at the First Affiliated Hospital of Xinjiang Medical University, we analyzed 4442 patients, categorized by HDL-C quartiles. We applied the Cox proportional hazards model to assess survival and report hazard ratios (HR) with 95% confidence intervals (CI). Results: Over a decade, we recorded 1354 fatalities (42.3%) and 820 readmissions. The third HDL-C quartile (0.93– 1.14 mmol/L) showed the lowest mortality rates, with reduced risks in the second and third quartiles compared to the first (Q2 HR=0.809, 95% CI 0.590– 1.109; Q3 HR=0.794, 95% CI 0.564– 1.118). The fourth quartile presented a lower mortality risk compared to the first (Q4 HR=0.887, 95% CI 0.693– 1.134). A significant correlation existed between HDL-C levels and cardiovascular risk (HR=0.85, 95% CI 0.75– 0.96, p< 0.01). Conclusion: HDL-C levels exhibit a complex association with mortality in HF, indicating the importance of HDL-C in HF prognosis and the need for tailored management strategies. [ABSTRACT FROM AUTHOR]

Tonsillectomy is a common surgical procedure but carries a high risk of readmission for secondary bleeding and pain. This study evaluated the feasibility and effectiveness of using the hemostatic self-assembling peptide hydrogel RADA16 (PuraBond, 3-D Matrix SAS; Caluire et Cuire, France) to control bleeding from the tonsillectomy wound bed. Readmission/re-operation rates were compared between a prospective case series of 21 primarily adult tonsillectomy patients treated with topical RADA16 and an untreated historical Control group of 164 patients who underwent tonsillectomy by 10 surgeons at a single tertiary hospital in the UK between March 2019 and June 2022. Cumulative readmission rates for any reason were 2-fold elevated in Control subjects (18.9%; n = 31/164 subjects) compared to patients treated intra-operatively with RADA16 hemostatic hydrogel (9.5%; n = 2/21) (p = 0.378). Readmission rates for postoperative bleeding were 3-fold higher in Controls (14.6%; n = 24/164 subjects) than in the RADA16-treated group (4.8%; n = 1/21) (p = 0.317). A similar rate of retreatment for pain was recorded in the Control (4.3%; n = 7/164) and RADA16 (4.8%; n = 1/21) groups (p = 0.999). Two Control subjects (1.2%) required re-operation for recalcitrant bleeding; no RADA16 subject (0.0%) required re-operation for any reason. No device-related adverse events occurred in the RADA16 group. Surgeons were pleased with the easy learning curve and technical feasibility associated with intra-operatively administering RADA16 hemostatic hydrogel. Intra-operative hemostasis using RADA16 peptide hydrogel was straightforward and was associated with a trend of 3-fold lower rates of readmission for postoperative bleeding events than untreated Control subjects. [ABSTRACT FROM AUTHOR]

Acute diarrhea represents a major public health issue, and the management of adult patients admitted to the emergency department (ED) for this problem is still challenging. In a retrospective analysis on more than 20,000 patients visiting a tertiary ED for acute diarrhea and then being discharged home, we found that age > 65 years, onset of symptoms > 24 h since ED admission, refusal of hospitalization, and a history of chronic renal and liver diseases were independently associated with ED readmission for abdominal symptoms within 7 days. In the younger group, the presence of comorbidities significantly impacted on ED readmission, while fever and alteration of serum creatinine were the main determinants in the older group. Antibiotics were prescribed in about 25% of patients, although diarrhea etiology (viral or bacterial) was usually not available. According to international guidelines, fluoroquinolones were the most prescribed class, showing an inverse correlation to ED readmission. However, β-lactams and probiotics were also commonly prescribed; the latter were independently correlated to ED readmission in the elderly group. A comprehensive, guideline-based approach, including a detailed clinical history and laboratory and comorbidity assessment, should be encouraged to support physicians in the management of different age subgroups of adults admitted to the ED for acute diarrhea. [ABSTRACT FROM AUTHOR]

BackgroundHospital readmission trends for persons with human immunodeficiency virus (PWH) in North America in the context of policy changes, improved antiretroviral therapy (ART), and aging are not well-known. We examined readmissions during 2005-2018 among adult PWH in NA-ACCORD.MethodsLinear risk regression estimated calendar trends in 30-day readmissions, adjusted for demographics, CD4 count, AIDS history, virologic suppression (

IntroductionHeart failure (HF) is a frequent cause of readmissions. Despite caring for underresourced patients and dependence on government funding, safety net hospitals frequently incur penalties for failing to meet pay-for-performance readmission metrics. Limited research exists on the causes of HF readmissions in safety net hospitals. Therefore, we sought to investigate predictors of 30-day all-cause readmission in HF patients in the safety net setting.MethodsWe performed a retrospective chart review of patients admitted for HF from October 2018 to April 2019. We extracted data on demographics and medical comorbidities and performed patient-specific review of social determinants and mental health in 4 domains: race/ethnicity, housing status, substance use, and mental illness. Multivariable Poisson regression modeling was employed to evaluate associations with 30-day all-cause readmission.ResultsThe study population included 290 patients, among whom the mean age was 59 years and 71% (n = 207) were male; 42% (120) were Black/African American (AA), 22% (64) were Hispanic/Latino, and 96% (278) had public insurance; 28% (79) were not housed, 19% (56) had a diagnosis of mental illness, and active substance use was common. The 30-day readmission rate was 25.5% (n = 88). Factors that were associated with increased risk of readmission included self-identifying as Black/AA (relative risk 2.28, 95% confidence interval 1.00-5.20) or Hispanic/Latino (2.53, 1.07-6.00), experiencing homelessness (2.07, 1.21-3.56), living in a shelter (3.20, 1.27-8.02), or intravenous drug use (IVDU) (2.00, 1.08-3.70).ConclusionRace/ethnicity, housing status, and substance use were associated with increased risk of 30-day all-cause readmission in HF patients in a safety net hospital. In contrast to prior studies, medical comorbidities were not associated with increased risk of readmission.

Background: The incidence of primary reverse total shoulder arthroplasty (rTSA) and the prevalence of obesity have increased in the United States. Despite this, the literature assessing the effect of morbid obesity (body mass index≥40 kg/m2) on perioperative surgical outcomes remains inconsistent. Methods: A retrospective review of consecutive elective primary rTSA cases from January 2016 through September 2023 at a single tertiary referral center was performed. All cases involved a short-stem humeral component and screw-in glenoid baseplate from the same implant manufacturer. Surgical and patient demographic data were collected. Morbidly obese patients were propensity matched at least 1:1 with non-morbidly obese patients based on age, gender, modified 5-item frailty index score, adjusted Charlson comorbidity index score, and 12-month preoperative emergency department (ED) visit. Regression analysis was utilized to assess the relationship between morbid obesity and operative time, length of stay, intraoperative total blood volume loss, surgical postoperative complications, in-hospital medical complications, disposition, and 90-day ED return and readmission. Results: There were a total of 175 short-stem rTSA cases performed with a median age of 71 years (interquartile range: 66, 76), of which 19 (10.9%) had a body mass index ≥40 kg/m2. These 19 patients were propensity score matched to 41 non-morbidly obese patients (9 at 1:3, 4 at 1:2, and 6 at 1:1). There were no significant differences between the groups with regard to intraoperative total blood volume loss, operative time, need for transfusion, hospital length of stay, discharge disposition, prevalence for 90-day return to ED, or unplanned 90-day readmission. Conclusion: Morbid obesity should not be considered an absolute contraindication for elective rTSA, particularly in patients who have undergone appropriate preoperative medical clearance.

Background: The impact of socioeconomic distress on readmission rates following cardiac surgery has not been studied. We hypothesized that patients living in distressed communities would have a higher 30-day readmission rate after cardiac surgery compared to those living in less distressed communities. Methods: Patients undergoing isolated coronary artery bypass grafting (CABG) between 2016 and 2023 within a regional collaborative were identified. The Distressed Communities Index (DCI) and Area Deprivation Index (ADI) were used to measure socioeconomic distress. Two logistic regression models were performed to evaluate 30-day readmission rates: one incorporating ADI and the other including DCI. Models were adjusted for the Society of Thoracic Surgeons (STS) Predicted Risk of Mortality (PROM) score, postoperative complications, length of stay (LOS), year of surgery, and discharge disposition. Results: A total of 16,369 patients were included, of whom 10% were readmitted within 30 days of discharge. Readmitted patients were more likely to be female (32% vs 23.3%) and to develop postoperative complications (47% vs 35%) and less likely to be discharged to home (70.6% vs 83.5%; P

Objectives: Comorbidities that impair wound healing, increase infection risk, and compromise tissue viability influence rates of hospital readmission after autologous reconstruction and implant-based reconstruction. This study aimed to evaluate patient factors that increase risk for 30-day hospital readmission after autologous reconstruction and implant-based reconstruction and identify differences in the comorbidities that affect readmission risk after each method. Methods: Patients from 2005 to 2021 were selected by autologous reconstruction and implant-based reconstruction current procedural terminology codes from the American College of Surgeons National Surgical Quality Improvement Program database. A multivariable regression model identified the significant predictors of unplanned readmission. Results: Comorbidities that increase risk for readmission after autologous reconstruction but not implant-based reconstruction include dialysis (OR 3.87, p = 0.042) and malnutrition (OR 3.20, p = 0.003). Risk factors for readmission after implant-based reconstruction but not autologous reconstruction include bleeding disorder (OR 2.62, p < 0.0001), previous infection (OR 1.49, p = 0.045), recent sepsis (OR 2.16 p = 0.0003), anemia (OR 1.13, p = 0.0018), and hypoalbuminemia (OR 1.35, p = 0.0213). Predictors of unplanned readmission after both methods include chronic obstructive pulmonary disorder, obesity, inpatient status prior to procedure, Black or White race, chronic steroid use, smoking, diabetes, and hypertension. Conclusions: These findings may be used to individualize preoperative discussions and help guide optimization of risk factors. In addition, while autologous reconstruction and implant-based reconstruction are often combined into one category for discussion of factors that increase complication risk, our study suggests that the types of reconstruction differ with regard to the comorbidities that increase risk for hospital readmission.

Abstract Background Readmissions in psychiatric inpatient care may reflect problems in the provision of care, but the underlying factors are not well known. We examined the associations of patient characteristics (sociodemographic factors, diagnoses), treatment (duration, previous episodes, neuromodulation) and ward overload with psychiatric inpatient readmissions and multiple readmissions in Finland. Methods We used a routinely collected data pool from one hospital district and followed all 2052 hospitalizations that started in 2018. The outcomes were readmission within 30 days and one year, and among those with readmission, the number of readmissions. Results Of the patients, 11% had readmission within 30 days and 33% had readmission within one year. Women, those with previous hospitalizations, those with an ICD-10 diagnosis from the ‘behavioural syndromes associated with physiological disturbances and physical factors / disorders of adult personality and behaviour’ group, those with a diagnosis from the ‘neurotic, stress-related and somatoform disorders’ group, those with psychotic disorders, and those who received neuromodulation treatment were more likely to have readmissions. Having a diagnosis of ‘disorders of psychological development’ or ‘behavioural and emotional disorders with onset usually occurring in childhood and adolescence’ was associated with a lower likelihood of readmission. The duration of treatment and ward overload during the index period were not associated with readmission. Conclusions The findings of this study suggest possible risk factors for readmission and can be used to plan psychiatric care. To some degree, the risk factors varied between different readmission types. It is important to examine whether there are unmet treatment needs in psychiatric inpatient care for children and adolescents.