Search

BACKGROUND: Reducing hospital readmission offer potential benefits for patients, providers, payers, and policymakers to improve quality of healthcare, reduce cost, and improve patient experience. We investigated effectiveness of remdesivir in reducing 30-day coronavirus disease 2019 (COVID-19)-related readmission during the Omicron era, including older adults and those with underlying immunocompromising conditions. METHODS: This retrospective study utilized the US PINC AI Healthcare Database to identify adult patients discharged alive from an index COVID-19 hospitalization between December 2021 and February 2024. Odds of 30-day COVID-19-related readmission to the same hospital were compared between patients who received remdesivir vs those who did not, after balancing characteristics of the two groups using inverse probability of treatment weighting (IPTW). Analyses were stratified by maximum supplemental oxygen requirement during index hospitalization. RESULTS: Of 326 033 patients hospitalized for COVID-19 during study period, 210 586 patients met the eligibility criteria. Of these, 109 551 (52%) patients were treated with remdesivir. After IPTW, lower odds of 30-day COVID-19-related readmission were observed in patients who received remdesivir vs those who did not, in the overall population (3.3% vs 4.2%, respectively; odds ratio [95% confidence interval {CI}]: 0.78 [.75-.80]), elderly population (3.7% vs 4.7%, respectively; 0.78 [.75-.81]), and those with underlying immunocompromising conditions (5.3% vs 6.2%, respectively; 0.86 [.80-.92]). These results were consistent irrespective of supplemental oxygen requirements. CONCLUSIONS: Treating patients hospitalized for COVID-19 with remdesivir was associated with a significantly lower likelihood of 30-day COVID-19-related readmission across all patients discharged alive from the initial COVID-19 hospitalization, including older adults and those with underlying immunocompromising conditions.

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.

Objective: 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). Design: National cohort study. Setting: All English National Health Service hospitals. Population: A total of 6 192 140 women who gave birth in English NHS hospitals from April 2007 to March 2017. Methods: Statistical analysis using birth and readmission data from routinely collected National Hospital Episode Statistics (HES) database. Main Outcome Measures: 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. Results: 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). Conclusions: 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]

Aim Methods Results Conclusion Homecare for neonates has advanced, but combative analysis of contact methods remains unexplored. The aim was to identify predictors of readmission during homecare and to compare home visit, telemedicine or outpatient visit.This retrospective study included infants receiving homecare from 1 January 2015 to 31 December 2022. Data were obtained from local databases from six neonatal units in Denmark. The medical records of readmitted infants were reviewed. The main outcome were causes and predictors of readmission during homecare. The secondary outcome was exclusive breastfeeding at discharge.The cohort consisted of 4827 infants (boys = 54.0%). The rate of unplanned readmissions was 4.6%. A gestational age (GA) <32 weeks (p‐value <0.01) or bronchopulmonary dysplasia (BPD) (p‐value <0.01) were predictors of readmission. There was no difference in unplanned readmissions based on contact method (p‐value = 0.46 for telemedicine, p‐value = 0.11 for outpatient visit). The overall exclusive breastfeeding rate at discharge from homecare was 64.1%.Homecare can be provided for preterm and term infants while establishing oral feeding, with caution on infants with a GA < 32 or BPD. All types of contact methods during homecare investigated can be provided equally in relation to readmission and exclusive breastfeeding. [ABSTRACT FROM AUTHOR]

Percutaneous coronary intervention (PCI) is a practical and effective method for treating coronary heart disease (CHD). This study aims to explore the influencing factors of major cardiovascular events (MACEs) and hospital readmission risk within one year following PCI treatment. Additionally, it seeks to assess the clinical value of Apolipoprotein B/Apolipoprotein A-I (ApoB/ApoA-I) in predicting the risk of one-year MACEs and readmission post-PCI. A retrospective study included 1938 patients who underwent PCI treatment from January 2010 to December 2018 at Shandong Provincial Hospital affiliated with Shandong First Medical University. Patient demographics, medications, and biochemical indicators were recorded upon admission, with one-year follow-up post-operation. Univariate and multivariate Cox proportional hazards regression models were utilized to establish the relationship between ApoB/ApoA-I levels and MACEs/readmission. Predictive nomograms were constructed to forecast MACEs and readmission, with the accuracy of the nomograms assessed using the concordance index. Subgroup analyses were conducted to explore the occurrence of MACEs and readmission. We observed a correlation between ApoB/ApoA-I and other lipid indices, including total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) (P < 0.001). Univariate and multivariate Cox regression analyses demonstrated that ApoB/ApoA-I is an independent risk factor for MACEs in post-PCI patients (P = 0.038). Within one year, the incidence of MACEs significantly increased in the high-level ApoB/ApoA-I group (ApoB/ApoA-I ratio ≥ 0.824) (P = 0.038), while the increase in readmission incidence within one year was not statistically significant. Furthermore, a nomogram predicting one-year MACEs was established (Concordance Index: 0.668). Subgroup analysis revealed that ApoB/ApoA-I was associated with the occurrence of both MACEs and readmission in male patients, those using CCB/ARB/ACEI, those without multivessel diseases, or those with LDL-C < 2.6 mmol/L. The ApoB/ApoA-I ratio serves as an independent risk factor for one-year MACEs in post-PCI patients and correlates closely with other blood lipid indicators. ApoB/ApoA-I demonstrates significant predictive value for the occurrence of MACEs within one year. Trial registration Chinese clinical trial registry: No.ChiCTR22000597-23. [ABSTRACT FROM AUTHOR]

Objective: 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. Methods: 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. Results: 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. Conclusion: 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. Trial Registration: PROSPERO registration number CRD42023466801 [ABSTRACT FROM AUTHOR]

Background: Despite extensive research on COVID-19 and its association with myocarditis, limited data are available on readmission rates for this subset of patients. Thirty-day hospital readmission rate is an established quality metric that is associated with increased mortality and cost. Methods: This retrospective analysis utilized the Nationwide Readmission Database for the year 2020 to evaluate 30-day hospital readmission rates, risk factors, and clinical outcomes among COVID-19 patients who presented with myocarditis at their index hospitalization. Results: Our analysis revealed that 1) the 30-day all-cause hospital readmission rate for patients initially hospitalized with COVID-19 and myocarditis was 11.7%; 2) after multivariate adjustment, the primary predictor of readmission for COVID-19 patients with myocarditis was discharge against medical advice; 3) COVID-19 patients with myocarditis who required readmission had a higher proportion of older patients and Medicare beneficiaries; 4) the most common diagnoses at readmission were COVID-19, sepsis, congestive heart failure, acute myocardial infarction, and pneumonia; and 5) readmitted patients were more likely to require renal replacement therapy during their index hospitalization. Conclusion: This study underscores the importance of optimizing discharge plans, preventing irregular discharges through shared decision-making, and ensuring robust post-hospital follow-up for patients with COVID-19 and myocarditis at index admission. [ABSTRACT FROM AUTHOR]

To investigate the association between patient-reported experiences with new medication discharge counselling and readmission to hospital or emergency department (ED) visits within 30 days of discharge. A retrospective cross-sectional study of patient-reported experiences from 8715 patients who reported being prescribed a new medication at discharge from a public hospital. Completeness of medication counselling was assessed based on (i) explanation of medication purpose, (ii) explanation of medication side effects, (iii) patient involvement in decision to use medication, (iv) provision of contradictory information. Multilevel models were used to estimate self-reported 30-day readmission or ED visit related to care received using adjusted odds ratios (AORs). Patients who were explained medication purpose were half as likely to report a readmission (AOR 0.54, 95%CI 0.31–0.93) or ED visit (AOR 0.65, 95%CI 0.48–0.87) within 30 days of discharge. Conversely, those who reported receiving contradictory information were more likely to report a readmission (AOR 1.62, 95%CI 1.16–2.26) and ED visit (AOR 1.82, 95%CI 1.41–2.34). Patients who reported receiving comprehensive counselling on new medications were less likely to report being readmitted or visiting an ED within 30 days of discharge. • Patients explained medication purpose were half as likely to re-present to hospital. • Patients receiving contradictory information were more likely re-present to hospital. • Culturally diverse patients were less likely to receive medication counselling. • All patients prescribed a new medication should receive comprehensive counselling. [ABSTRACT FROM AUTHOR]

Purpose: Perioperative intravenous different doses of dexamethasone (DEX) can realize effective clinical outcomes in total joint arthroplasty (TJA). However, the effect of different DEX doses on readmission rates and postoperative complications remains unclear. Methods: We retrospectively analyzed patients who underwent primary TJA between December 2012 and October 2020. Patients were categorized into three groups based on the total perioperative dose of DEX: control group (DEX = 0 mg), low-dose group (DEX < 15 mg), and high-dose group (DEX ≥ 15 mg). Primary outcomes included 30-day and 90-day readmission rates. Secondary outcomes included the rates of periprosthetic joint infection (PJI) and wound complications, with treatment outcomes for these complications were also evaluated. Multivariable analysis was used to identify risk factors for readmission. Results: A total of 14,557 procedures were included, with 6,686 in the control group, 4,325 in the low-dose group, and 3,546 in the high-dose group. No significant differences were observed among the groups for 30-day (p = 0.645) or 90-day readmission rates (p = 0.539). Additionally, there were no significant differences in rates of PJI (p = 0.401) or wound complications (p = 0.079). Treatment for PJI and wound complications was successful across all groups. Risk factors for 30-day readmission included age > 80 years (OR: 2.585, 95% CI: 1.123–5.954, p = 0.026) and undergoing total hip arthroplasty (THA) (OR: 1.692, 95% CI: 1.137–2.518, p = 0.009). For 90-day readmission, age 71–80 years (OR: 2.199, 95% CI: 1.349–3.583, p = 0.002), age > 80 years (OR: 3.897, 95% CI: 1.966–7.727, p < 0.001), and THA (OR: 1.622, 95% CI: 1.179–2.230, p = 0.003) were significant risk factors. However, neither low-dose nor high-dose DEX was associated with increased 30-day or 90-day readmission rates. Conclusions: Perioperative intravenous DEX may be not associated with the readmission, PJI, and wound complications in patients undergoing primary TJA. [ABSTRACT FROM AUTHOR]

Background: Frequent exacerbations of bronchiectasis lead to poor quality of life, impaired lung function, and higher mortality rates. This study aims to evaluate the risk factors associated with readmission within one year due to acute exacerbation of bronchiectasis (AEB). Methods: A retrospective cohort study was performed on 260 patients with bronchiectasis who were hospitalized in the respiratory and critical care department of a tertiary hospital in China. Univariate and multivariate Cox analyses were used to evaluate the risk factors for readmission within one year. Results: Readmission within one year was found in 44.6% of 260 patients hospitalized with acute exacerbation of bronchiectasis. The risk factors associated with readmission included age over 65 years (HR = 3.66; 95% CI: 2.30 to 5.85), BMI < 18.5 kg/m2 (HR = 1.71; 95% CI: 1.16 to 2.51), respiratory intensive care unit (RICU) stay during admission (HR = 2.06, 95% CI: 1.16–3.67), involvement of 3 or more lobes on chest high-resolution computed tomography (HRCT) (HR = 1.85; 95% CI, 1.22 to 2.80), chronic Pseudomonas aeruginosa (PA) colonization (HR = 2.29; 95% CI: 1.54 to 3.38), and positive sputum culture results within 24 h after admission (HR = 1.93; 95% CI: 1.27 to 2.94). Long-term oral antibiotics use after discharge was associated with decreased hazard of readmission (HR = 0.34; 95% CI: 0.20 to 0.59). Conclusions: Patients with bronchiectasis have a high rate of readmission, which is linked to varieties of risk factors, and identifying these risk factors is importance for effectively managing patients with bronchiectasis. [ABSTRACT FROM AUTHOR]

Background: The objective of this paper was to estimate the impact of country-wide hospital pay-for-performance on readmissions for a set of common conditions in Lebanon. Methods: This retrospective cohort study included all hospitalizations under the coverage of the Ministry of Public Health in Lebanon between 2011 and 2019. We calculated 30-day all-cause readmissions following general, pneumonia, cholecystectomy and stroke cases. We used an interrupted time series design, including the use of AutoRegressive Integrated Moving Average models. This nationwide study including 1,333,691 hospitalizations was undertaken in Lebanon, using hospitalizations at about 140 private and public hospitals contracted by the Ministry. The participants included citizens across all ages under the Ministry's coverage (52% of citizens). The intervention was the engagement of hospital leaders by the Ministry, informing them of the addition of a readmissions component to the ongoing pay-for-performance initiative. Engagement participants included hospital directors and managers, and the leadership of the Syndicate of Private Hospitals. The main outcome measure was age-adjusted monthly all-cause readmission rates for each of general, pneumonia, cholecystectomy and stroke cases. We also assessed for change in readmissions for three conditions not included in the intervention (myocardial infarction, cataract surgery and appendectomy). Results: Across 2011–2019, the overall readmission rates were 6.00% (SD 0.24%) for general readmissions, 5.06% (SD 0.22%) for pneumonia, 2.54% (SD 0.16%) for cholecystectomy, and 6.55% (SD 0.25%) for stroke. Using ARIMA models we found a relative percentage decrease in mean monthly readmissions in the post-intervention period for cholecystectomy (5.9%; CI 0.1%-11.8%) and stroke (13.6%; CI 3.1%-24.2%). There was no evidence of intervention impact on pneumonia and general readmissions, both overall and among small, medium and large hospitals. There was also no evidence of change in non-P4P readmissions of myocardial infarction, cataract surgery and appendectomy. Conclusions: Including readmissions within pay-for-performance has the potential to improve hospital performance and patient outcomes, even in countries with more limited resources. Effects may vary across conditions, indicating the need for careful design and understanding of the particular context, both with respect to implementation and to evaluation of impact. [ABSTRACT FROM AUTHOR]

Readmissions are an indicator of hospital care quality; a high readmission rate is associated with adverse outcomes. This leads to an increase in healthcare costs and quality of life for patients. Developing predictive models for hospital readmissions provides opportunities to select treatments and implement preventive measures. The aim of this study is to develop predictive models for the readmission risk of patients with schizophrenia, combining the particle swarm optimization (PSO) algorithm with machine learning classification algorithms. The database used in the study includes a total of 6089 readmission records of patients with schizophrenia. These records were collected from 11 public hospitals in Castilla and León, Spain, in the period 2005–2015. The results of the study show that the Random Forest algorithm combined with PSO achieved the best results across the evaluated performance metrics: AUC = 0.860, recall = 0.959, accuracy = 0.844, and F1-score = 0.907. The development of these new models contributes to -improving patient care. Additionally, they enable preventive measures to reduce costs in healthcare systems. [ABSTRACT FROM AUTHOR]

Objective: Community-acquired pneumonia (CAP) is a leading cause of emergency hospitalisations globally and is associated with high readmission rates. Specific score systems developed for all medical conditions such as the HOSPITAL score and the LACE index can also usefully predict CAP readmissions. However, there is limited evidence regarding their performance in the Australian healthcare settings. Methods: This multicentre retrospective study analysed adult CAP discharges from two metropolitan hospitals in South Australia between 1 January 2018 and 31 December 2023. Data for determining the HOSPITAL score and the LACE index were derived from electronic medical records. Demographic characteristics of patients readmitted within 30 days were compared with those who were not readmitted. The scores were evaluated for overall performance, discriminatory power and calibration, with discriminatory power assessed using the concordance statistic (C-statistic). Results: Over 6 years, 7245 CAP discharges were recorded, with 1329 (18.3%) readmissions within 30 days. The mean (s.d.) age of the cohort was 74.4 (17.8) years. Readmitted patients were more likely to have multiple morbidities and frailty than those not readmitted (P < 0.05). They also had a higher mean number of emergency department presentations and hospital admissions in the previous year and a longer initial hospital stay (P < 0.05). Overall, the mean (s.d.) HOSPITAL score and LACE index were 3.4 (2.1) and 9.3 (3.6), respectively. Among readmissions, 28.4% occurred in patients with a HOSPITAL score >4 (intermediate and high-risk group), while 25.8% occurred in patients in the high-risk LACE category (LACE index > 10). The C-statistic for the HOSPITAL score and LACE index was 0.62 (95% CI 0.61–0.64) and 0.63 (95% CI 0.61–0.65), respectively, with no significant difference in the area under the receiver operating characteristic curves (P > 0.05). Conclusions: The predictive abilities of the HOSPITAL score and the LACE index for CAP readmissions are modest and comparable in an Australian setting. What is known about the topic? The HOSPITAL score and LACE index are used to predict readmissions, but their utility and comparative effectiveness in Australian healthcare settings are unclear. What does this paper add? This study found that both the HOSPITAL score and LACE index have modest and comparable abilities in predicting community-acquired pneumonia readmissions in Australian settings. What are the implications for practitioners? There is a need for further refinement of readmission prediction models to better suit Australian healthcare conditions. [ABSTRACT FROM AUTHOR]

Objective: The objective of this study is to identify variables associated with clinical outcomes after urologic transfers before and during the COVID pandemic. Methods: 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. Results: 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). Conclusions: 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]

Accessible Summary: What is known on the subject: People living with schizophrenia spectrum disorder (SSD) have a higher death rate which is caused, in part, by poorer adherence to treatment as compared to those with other mental illnesses.Using long‐acting injectable antipsychotic (LAI) medications can improve medication adherence and reduce hospitalizations for people living with SSD but are often underutilized. What the paper adds to existing knowledge: As compared to oral antipsychotic medications provided to patients with SSD at discharge from a psychiatric hospitalization, being provided with an LAI antipsychotic medication may reduce subsequent rehospitalization.Specifically, patients discharged on an atypical or second‐generation LAI medication are less likely to be readmitted to the hospital when compared to those discharged on a typical first‐generation oral medication. What are the implications for practice: Because LAI antipsychotic medications are often underutilized as treatment options, the study findings suggest that this modality may be considered for patients with SSD when being discharged from a psychiatric hospitalization.Ideally, psychiatric‐mental health nurses can educate patients about indications, benefits, and risks of using atypical or second‐generation LAI antipsychotic medications during hospitalization and at discharge prevent the risk for future rehospitalizations. Introduction: People living with schizophrenia spectrum disorder (SSD) have poorer medication adherence compared to those with other mental illnesses. Long‐acting injectable antipsychotic (LAI) medication use is associated with greater adherence, reduced re‐hospitalizations, and improved recovery outcomes when compared to oral formulations. Aim: To compare LAI antipsychotic medication use versus oral formulations on readmission to an inpatient hospital. Method: Medical records (N = 707) from a state psychiatric hospital in the southern region of the United States were reviewed. Controlling for demographic variables, logistic regression analyses were used to examine LAI compared to oral formulations on readmission. Results: Compared to patients discharged with oral antipsychotic medications, those with LAIs had a lower proportion of readmission rates in 6‐month and 1‐year periods, but not 30‐day or 2‐year periods. When controlling for demographic variables, those discharged with an atypical LAI had significantly lower odds of being readmitted within the 24‐year period compared to those discharged on a typical oral antipsychotic. Discussion: Compared to orals, LAIs do not increase and may mitigate readmissions to psychiatric hospitalization. Implications for Practice: Psychiatric‐mental health nurses and other professionals may recommend LAIs when indicated for those with SSD. [ABSTRACT FROM AUTHOR]

Anxiety is prevalent in our society, affecting all facets of patients' lives. There is, however, a paucity of literature exploring how anxiety extends into the orthopedic perioperative setting. We sought to analyze a subset of patients undergoing primary shoulder arthroplasty to determine whether correlations exist between anxiety, patient characteristics, time spent in the hospital, and likelihood of returning to the hospital after discharge. After obtaining institutional review board approval, our hospital prospectively identified and approached all patients undergoing total shoulder arthroplasty between February and June of 2023. Patients completed the Visual Analog Scale for Anxiety (VAS-A) and Amsterdam Preoperative Anxiety and Information Scale (APAIS), two validated tools used to assess preoperative anxiety levels and need for information, in the preoperative holding area before surgery. Patient demographics, hospital length of stay (LOS), and 30-day readmission rate were collected and analyzed. A total of 79 patients were enrolled. Nineteen percent of patients were found to be anxious using the APAIS tool, while 37.7% of patients were found to be anxious using the VAS-A tool. No significant correlation was found between APAIS or VAS-A anxiety scoring and hospital LOS. No significant correlation was found between APAIS or VAS-A anxiety scoring and 30-day readmission rate. A significant correlation was found between APAIS anxiety scoring and body mass index (BMI), as well as VAS-A scoring and BMI. However, no significant correlation was found between BMI and hospital LOS or between BMI and 30-day readmission rate. Our study did not find a statistically significant correlation between immediate preoperative anxiety levels in patients undergoing shoulder arthroplasty and their length of stay or 30-day readmission rate. We did discover a linear relationship between patient BMI and their preoperative anxiety scores; however, no significant direct correlation was found between a patient's BMI and their length of stay or their 30-day readmission rate. Our findings suggest that higher levels of preoperative anxiety should not preclude a patient from the benefits of consideration of early discharge planning such as same-day total shoulder replacement. [ABSTRACT FROM AUTHOR]

Objective: Aspiration pneumonia (AP) is an important subset of pneumonia in elderly. This study aimed to identify risk factors affecting hospital length of stay (LoS), mortality, and readmission in patients with AP. Materials and Methods: This retrospective observational study analyzed data from 263 patients hospitalized with a diagnosis of AP (n=133) and community-acquired pneumonia (n=130) between December 2020 and November 2023. Results: Dementia/Parkinson's disease (p<0.001), cerebrovascular accident (p<0.001), motor neuron disease (p<0.001), polypharmacy (p<0.001) and sedative drug usage (p<0.001) were common in AP patients as risk factors for aspiration. Additionally, LoS (p<0.001), mortality (p<0.001) and readmission (p<0.001) were common in the AP group. Readmission mortality for the AP group was 57.1%. Multivariate analyses of factors contributing to increased LoS were the presence of a caregiver (p=0.014), need for intensive care unit (ICU) during hospitalization (p=0.006), ICU LoS (p<0.001) and hospital admission within the last 90 days (p=0.02). Risk factors for readmission included high Charlson Comorbidity Index (CCI) (p=0.032), fever at admission (p=0.008) and ICU need during hospitalization (p=0.028). For in-hospital mortality, a lower body mass index (BMI) (p=0.01), more than one caregiver (p=0.045) and increased hospital LoS (p=0.028) were identified as independent risk factors. Conclusion: Extended hospitalization for AP is associated with the recent hospitalization, need for care, ICU admission requirement, and prolonged ICU stay. Fever upon admission, high CCI, and ICU need were associated with an increased risk of readmission, whereas independent indicators of mortality included high care needs, low BMI, and prolonged hospitalization. [ABSTRACT FROM AUTHOR]

Copyright of Canadian Journal of Anaesthesia / Journal Canadien d'Anesthésie is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Scopolamine is a widely used antiemetic in anesthetic practice, particularly for postoperative and post-discharge nausea and vomiting. Despite its frequent usage and recognized efficacy, concerns have emerged regarding the potential for increased side effects, particularly in elderly patients. Further research is needed to assess safety and determine age thresholds for adverse events. This study hypothesizes associations between perioperative scopolamine use, worse clinical outcomes, increased pneumonia, delirium, urinary retention, and readmissions. Methods: A large, retrospective cohort study was performed using the TriNetX Analytics Network database on patients undergoing major surgical procedures between Jan 1, 2009, and March 21, 2018, to examine the impact of perioperative scopolamine use on in-hospital adverse events. Patients were divided into age groups and compared to a control group. The primary outcomes assessed were delirium, pneumonia, in-hospital death, new antipsychotic use, readmission, and new onset urinary retention within 7 days post-surgery. 1:1 propensity score matching was performed to reduce bias. Relative risk and risk differences with 95% confidence intervals were estimated. Results: After 1:1 propensity score matching, we identified a total of 403,816 (201,908 pairs) perioperative scopolamine users and nonusers. The cohorts of 20–29, 30–39, 40–49, 50–59, 60–69, and 70 + contained 22,910 (11,455 pairs), 44,170 (22,085 pairs), 58,590 (29,295 pairs), 71,660 (35,830 pairs), 88,386 (44,193 pairs), and 118,100 (59,050 pairs) patients respectively. Across older age cohorts, after propensity score matching, perioperative scopolamine recipients had significantly increased relative risk and risk difference of delirium, pneumonia, in-hospital mortality, new antipsychotic use, readmission, and new-onset urinary retention. Conclusions: In this cohort study, perioperative scopolamine usage was associated with a significantly increased risk of in-hospital adverse events, both within the 70 + age cohort and among the 20–29, 30–39, 40–49, 50–59, and 60–69 age cohorts after major surgery. These findings highlight the need for careful assessment of scopolamine's risks and benefits, especially for patients aged 40 and older. Scopolamine may be most suited for post-discharge nausea and vomiting in ambulatory patients and clinicians should reassess its standard use for postoperative nausea and vomiting, favoring shorter-acting agents with fewer side effects. [ABSTRACT FROM AUTHOR]

Summary Introduction Methods Results Discussion Evidence on patient experiences with pain in hospitals and its impact on post‐discharge outcomes is limited. This study investigated the prevalence of pain in hospitals, patient characteristics associated with pain management adequacy, and the link between pain experiences, care ratings, readmission and emergency department visits after discharge.We conducted a retrospective cross‐sectional analysis of the 2019 Adult Admitted Patient Survey, focusing on self‐reported pain experiences, including presence, severity and management adequacy. The outcomes included self‐reported overall care ratings; readmission; and emergency department visits within one month of discharge. Multivariable logistic regression adjusted for population weight was used to estimate adjusted odds ratios.Among 75 large public hospitals, 21,900 patients responded (35% response rate), with 51% of patients reporting pain (mean (SD) age 57 (8.8) y; 54.9% female), 38.3% of whom classified their pain as severe. Aboriginal and/or Torres Strait Islander people and patients who spoke a language other than English were less likely to report adequate pain management (aOR (95%CI) 0.74 (0.58–0.96) and 0.82 (0.70–0.96), respectively). Pain also correlated with poor to very poor care ratings (aOR (95%CI) 2.05 (1.42–2.95)). Those patients who experienced pain were twice as likely to be readmitted (aOR (95%CI) 1.92 (1.55–2.37)) or visit the emergency department after discharge (aOR (95%CI) 1.91 (1.58–2.32)). Conversely, adequate pain management was associated with a lower likelihood of readmission (aOR (95%CI) 0.69 (0.51–0.94)) and emergency department visits (aOR (95%CI) 0.62 (0.44–0.87)). Mediation analysis suggests adequate pain management significantly mediated the relationship between pain severity and hospital rating (50.8%), readmission (11.6%) and emergency department visits (5.9%), after adjusting for all available observed confounders.This study highlights the importance of adequate pain management in patients' perception of care and recovery outcomes, especially among culturally and linguistically diverse patients. [ABSTRACT FROM AUTHOR]

Simple Summary: Disparities in outcomes for non-small cell lung cancer (NSCLC) may result from socioeconomic factors and variable healthcare access. We sought to examine the impact of area-level socioeconomic deprivation on access to care and outcomes for early-stage NSCLC in United States Veterans. We studied 9704 patients with clinical stage I NSCLC who underwent surgical treatment in the Veterans Health Administration (VHA) between 2006 and 2016 using a uniquely compiled database. Area-level socioeconomic deprivation was not associated with overall survival or cancer recurrence. However, high levels of socioeconomic deprivation were associated with inadequate adherence to care quality measures and increased risk of postoperative readmission. These results suggest that Veterans with high socioeconomic deprivation experience suboptimal access to quality preoperative and postoperative care for early-stage NSCLC but do not have inferior long-term outcomes following surgery. Future VHA policies should aim to provide more equitable guideline-concordant care and reduce postoperative readmission for early-stage NSCLC. Background: Socioeconomic deprivation has been associated with higher lung cancer risk and mortality in non-Veteran populations. However, the impact of socioeconomic deprivation on outcomes for non-small cell lung cancer (NSCLC) in an integrated and equal-access healthcare system, such as the Veterans Health Administration (VHA), remains unclear. Hence, we investigated the impact of area-level socioeconomic deprivation on access to care and postoperative outcomes for early-stage NSCLC in United States Veterans. Methods: We conducted a retrospective cohort study of patients with clinical stage I NSCLC receiving surgical treatment in the VHA between 1 October 2006 and 30 September 2016. A total of 9704 Veterans were included in the study and assigned an area deprivation index (ADI) score, a measure of socioeconomic deprivation incorporating multiple poverty, education, housing, and employment indicators. We used multivariable analyses to evaluate the relationship between ADI and postoperative outcomes as well as adherence to guideline-concordant care quality measures (QMs) for stage I NSCLC in the preoperative (positron emission tomography [PET] imaging, appropriate smoking management, pulmonary function testing [PFT], and timely surgery [≤12 weeks after diagnosis]) and postoperative periods (appropriate surveillance imaging, smoking management, and oncology referral). Results: Compared to Veterans with low socioeconomic deprivation (ADI ≤ 50), those residing in areas with high socioeconomic deprivation (ADI > 75) were less likely to have timely surgery (multivariable-adjusted odds ratio [aOR] 0.832, 95% confidence interval [CI] 0.732–0.945) and receive PET imaging (aOR 0.592, 95% CI 0.502–0.698) and PFT (aOR 0.816, 95% CI 0.694–0.959) prior to surgery. In the postoperative period, Veterans with high socioeconomic deprivation had an increased risk of 30-day readmission (aOR 1.380, 95% CI 1.103–1.726) and decreased odds of meeting all postoperative care QMs (aOR 0.856, 95% CI 0.750–0.978) compared to those with low socioeconomic deprivation. There was no association between ADI and overall survival (adjusted hazard ratio [aHR] 0.984, 95% CI 0.911–1.062) or cumulative incidence of cancer recurrence (aHR 1.047, 95% CI 0.930–1.179). Conclusions: Our results suggest that Veterans with high socioeconomic deprivation have suboptimal adherence to care QMs for stage I NSCLC yet do not have inferior long-term outcomes after curative-intent resection. Collectively, these findings demonstrate the efficacy of an integrated, equal-access healthcare system in mitigating disparities in lung cancer survival that are frequently present in other populations. Future VHA policies should continue to target increasing adherence to QMs and reducing postoperative readmission for socioeconomically disadvantaged Veterans with early-stage NSCLC. [ABSTRACT FROM AUTHOR]

Highlights: What are the main findings? Chronic disease self-management (CDSM) programs have proven benefits in the management of many chronic diseases, and this study supports new impetus in CHF; CDSM's benefits in improving MACE in CHF remain unclear; CDSM can be delivered as generic or disease-specific programs; the former has been tested widely in CHF, this study suggests possibilities for generic programs What are the implications of the main findings? Generic CDSM programs can be used in CHF; Generic short-form tools derived from gold-standard CDSM can risk-stratify poor and good self-managers. Self-managers with borderline and average abilities require greater understanding when designing randomized trials to further analyze these findings. Background/Objective: Heart failure (HF) is a complex syndrome, with multiple causes. Numerous pathophysiological pathways are activated. Comprehensive and guideline-derived care is complex. A multidisciplinary approach is required. The current guidelines report little evidence for chronic disease self-management (CDSM) programs for reducing readmission and major adverse cardiovascular events (MACE). CDSM programs can be complex and are not user-friendly in clinical settings, particularly for vulnerable patients. The aim of this study was to investigate whether a simplified one-page CDSM tool, the SCReening in Heart Failure (SCRinHF), is comparable to a comprehensive Flinders Program of Chronic Disease Management, specifically in triaging self-management capabilities and in predicting readmission and MACE. Methods:SELFMAN-HF is a prospective, observational study based on community cardiology. Eligible patients, consecutively recruited, had HF with left ventricular ejection fraction <40% and were placed on sodium–glucose co-transporter-2 inhibitors (SGLT2-i) within 3 months of recruitment. SGLT2-i is the newest of the four HF treatment pillars; self-management skills are assessed at this juncture. CDSM was assessed and scored independently via the long-form (LF) and short-form (SF) tools, and concordance between forms was estimated. The primary endpoint is the 80% concordance across the two CDSM scales for predicting hospital readmission and MACE. Results: Of the 117 patients, aged 66.8 years (±SD 13.5), 88 (75%) were male. The direct comparisons for SF versus LF patient scores are as follows: "good self-managers", 13 vs. 30 patients (11.1% vs. 25.6%); "average", 46 vs. 21 patients (39.3% vs. 17.9%), "borderline", 20 vs. 31 patients (17.1% vs. 26.5%), and "poor self-managers" (vulnerable), 38 vs. 35 patients (32.5% vs. 29.9%). These findings underscore the possibility of SF tools in picking up patients whose scores infer poor self-management capabilities. This concordance of the SF with the LF scores for patients who have poor self-management capabilities (38 vs. 35 patients p = 0.01), alongside readmission (31/38 vs. 31/35 p = 0.01) or readmission risk for poor self-managers versus good self-managers (31/38 vs. 5/13 p = 0.01), validates the simplification of the CDSM tools for the vulnerable population with HF. Similarly, when concurrent and predictive validity was tested on 52 patients, the results were 39 (75%) for poor self-managers and 14 (27%) for good self-managers in both groups, who demonstrated significant correlations between SF and LF scores. Conclusions: Simplifying self-management scoring with an SF tool to improve clinical translation is justifiable, particularly for vulnerable populations. Poor self-management capabilities and readmission risk for poor self-managers can be significantly predicted, and trends for good self-managers are observed. However, correlations of SF to LF scores across an HF cohort for self-management abilities and MACE are more complex. Translation to patients of all skill levels requires further research. [ABSTRACT FROM AUTHOR]

Introduction: Diabetes mellitus is the most common cause of end-stage kidney disease (ESKD) in Singapore. ESKD patients have high disease burden and are at increased risk of recurrent hospitalizations, including fluid overload. This study aimed to characterize the risk factors associated with readmissions for fluid overload that will identify high-risk hospitalizations for interventions to reduce readmissions. Methods: Retrospective cohort study of all hospitalizations for fluid overload in adults with diabetes and ESKD on dialysis in SingHealth hospitals between 2018 and 2021. Fluid overload was defined by discharge codes for fluid overload, heart failure, pulmonary edema, and generalized edema. Multivariable Cox regression analysis using the Prentice, Williams and Peterson Total Time model was performed for the outcomes of readmissions for fluid overload within 30 days and 90 days of discharge. Results: Among 3,234 hospitalizations for fluid overload, readmission for fluid overload within 30 days and 90 days occurred in 585 (18.1%) and 967 (29.9%) hospitalizations, respectively. Ischemic heart disease, peripheral vascular disease, and lower hemoglobin level were independently associated with readmissions for fluid overload within 30 and 90 days. Additionally, heart failure, hemodialysis (compared to peritoneal dialysis), and lack of statin at discharge were associated with increased 90-day readmission risk. Conclusion: Modifiable (hemoglobin level, statin use) and non-modifiable factors (ischemic heart disease, peripheral vascular disease, and heart failure) influenced the risk of readmission for fluid overload. These results may guide risk stratification and inform targeted interventions to reduce avoidable, unplanned readmissions for recurrent fluid overload among individuals with diabetes and ESKD. [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: Adults with cerebral palsy (CP) are a largely understudied, growing population with unique health care requirements. We sought to establish a deeper understanding of the surgical risk in adults with CP undergoing a common general surgical procedure: cholecystectomy. Methods: Data were obtained from the State Inpatient Database developed for the Healthcare Cost and Utilization Project. Inclusion criteria included patients ≥ 18 years with CP and a primary ICD-9 procedure code indicating open or laparoscopic cholecystectomy. Demographics, procedure-related factors, and comorbid conditions were analyzed, and unplanned 30 and 90 day readmission rates calculated for each variable. Reasons for readmission based on ICD-9 diagnosis codes were grouped into relevant categories. Univariate analysis identified factors significantly associated with readmission rates. Results: A total of 802 patients with CP met the inclusion criteria. Unplanned 30 and 90 day readmission rates after laparoscopic cholecystectomy were 11.4% and 18.1%, respectively. Average length of stay (LOS) after laparoscopic cholecystectomy was 7.1 days. After open cholecystectomy, 30 and 90 day readmission rates were 16.9% and 30.3% with an average LOS of 14.6 days. Infection was the most common cause for 30 and 90 day readmission. Factors associated with 30 day readmission included type of cholecystectomy, LOS, discharge to skilled nursing facility, and comorbid diabetes and malnutrition. Factors associated with 90 day readmission included type of cholecystectomy, LOS, discharge to skilled nursing facility, and comorbid heart failure, renal disease, epilepsy, and malnutrition. Conclusion: Unplanned readmission rates after open and laparoscopic cholecystectomy in adult patients with CP are much higher than previously demonstrated rates in the general population. These patients frequently suffer multiple comorbid conditions that significantly complicate their surgical care. As more and more of these patients live longer into adulthood, further study is warranted to grasp the perioperative risk of simple and complex surgical procedures. [ABSTRACT FROM AUTHOR]

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]

Elevated rates of 30-day readmission for children with epilepsy were noted at a stand-alone pediatric acute care facility. To address this issue, a standardized pathway was created and implemented in 2017. The main objective was to ensure that patients with epilepsy and their families were adequately prepared for discharge and the transition to home. Using a quality improvement (QI) approach, a standardized education pathway was developed and implemented to decrease unplanned 30-day readmissions of patients with a diagnosis of epilepsy from a specialized neurology unit. An interprofessional care team received training to ensure standardized communication around the pathway approach and components. All patients with a diagnosis of epilepsy and their families were educated using the pathway and guided through additional simulation and teach-back exercises. Analysis demonstrated a 27.6 % decrease in unplanned 30-day readmissions in the 6 years following implementation. An estimated $950,000 in cost savings was achieved secondary to program implementation. Utilizing the pathway standardizes epilepsy management education and decreases unplanned 30-day readmissions for pediatric patients diagnosed with epilepsy. A standardized educational plan is an essential component of patient discharge teaching and proper home management of epilepsy. For sustainability, education needs to be continuously refreshed and included in onboarding new nurses. To ensure health equity, translation of the pathway into multiple languages is needed. • Approximately 50 million people worldwide have a diagnosis of epilepsy. • Epilepsy, a chronic health condition, is commonly identified as a leading cause of 30-day unplanned hospital readmission. • Proper education and support during the transition from hospital to home is a key component of epilepsy care. • A standardized educational approach can decrease epilepsy readmissions. • A 27.6% reduction in 30-day readmission of children with epilepsy was achieved through use of a standardized pathway. [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 present study aimed to investigate the potential association between the treatment with Xinfeng Capsule (XFC) and the risk of readmission among patients with rheumatoid arthritis (RA). Methods: Through a retrospective approach, data were collected from all hospitalized patients diagnosed with RA at the First Affiliated Hospital of Anhui University of Chinese Medicine between 2013 and 2021. To mitigate selection bias and confounding factors, patients were stratified into an XFC group and a Non-XFC (Non-XFC) group based on their treatment status using propensity score matching with a 1:2 ratio. Variables such as age, gender, and baseline medications were adjusted. Subsequently, the Cox proportional hazards model was employed to calculate the hazard ratio (HR) for readmission among RA patients, while Kaplan-Meier curves were utilized to depict the incidence of readmission. Results: A total of 9987 RA patients were included in this study. Following rigorous inclusion/exclusion criteria and propensity score matching, the XFC group comprised 2036 patients, while the Non-XFC group contained 4072 patients. The Cox proportional hazards model analysis revealed that XFC acted as a protective factor, significantly reducing the risk of readmission among RA patients. Further examination of Kaplan-Meier curves demonstrated that XFC use not only effectively lowered the frequency of readmissions but also exhibited a more pronounced effect in diminishing the risk of readmission with extended usage durations (beyond 12 months). Additionally, association rule analysis underscored the strong link between XFC and freedom from readmission, as well as the robust correlation between XFC usage and significant improvements in multiple laboratory indicators, including C3, C4, CRP, ESR, and others. Conclusion: This study underscores a robust and long-term association between XFC usage and lower readmission rates among RA patients. As a protective factor against readmission risk in these patients, the clinical value of XFC merits further promotion and investigation. [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]

Introduction: We investigated the factors associated with readmission in patients with congestive heart failure (HF) receiving long-term administration of tolvaptan (TLV) to support treatment decisions for HF. Methods: This retrospective cohort study included 181 patients with congestive HF who received long-term administration of TLV. Long-term administration of TLV was defined as the administration of TLV for 60 days or longer. The outcome was a readmission event for worsening HF within 1 year after discharge. Significant factors associated with readmission were selected using multivariate analysis. To compare the time to readmission using significant factors extracted in a multivariate analysis, readmission curves were constructed using the Kaplan--Meier method and analysed using the log-rank test. Results: The median age was 78 years (range, 38-96 years), 117 patients (64.6%) were males, and 77 patients (42.5%) had a hospitalisation history of HF. Readmission for worsening HF within 1 year after long-term TLV treatment occurred in 62 patients (34.3%). In the multivariate analysis, estimated glomerular filtration rate (eGFR) <30 mL/min/1.73 m² (odds ratio, 3.22; 95% confidence interval, 1.661-6.249; P = 0.001) was an independent significant factor. When eGFR at discharge was divided into two groups (eGFR < 30 vs. eGFR ≥ 30), readmission rates within 1 year were 53.3% vs. 25.4%, respectively (P = 0.001). Conclusion: We revealed that eGFR was strongly associated with readmission in patients with HF who received long-term administration of TLV. Furthermore, we showed that eGFR is an important indicator in guiding treatment of HF in patients receiving TLV. [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]

Abstract Background The objective of this paper was to estimate the impact of country-wide hospital pay-for-performance on readmissions for a set of common conditions in Lebanon. Methods This retrospective cohort study included all hospitalizations under the coverage of the Ministry of Public Health in Lebanon between 2011 and 2019. We calculated 30-day all-cause readmissions following general, pneumonia, cholecystectomy and stroke cases. We used an interrupted time series design, including the use of AutoRegressive Integrated Moving Average models. This nationwide study including 1,333,691 hospitalizations was undertaken in Lebanon, using hospitalizations at about 140 private and public hospitals contracted by the Ministry. The participants included citizens across all ages under the Ministry’s coverage (52% of citizens). The intervention was the engagement of hospital leaders by the Ministry, informing them of the addition of a readmissions component to the ongoing pay-for-performance initiative. Engagement participants included hospital directors and managers, and the leadership of the Syndicate of Private Hospitals. The main outcome measure was age-adjusted monthly all-cause readmission rates for each of general, pneumonia, cholecystectomy and stroke cases. We also assessed for change in readmissions for three conditions not included in the intervention (myocardial infarction, cataract surgery and appendectomy). Results Across 2011–2019, the overall readmission rates were 6.00% (SD 0.24%) for general readmissions, 5.06% (SD 0.22%) for pneumonia, 2.54% (SD 0.16%) for cholecystectomy, and 6.55% (SD 0.25%) for stroke. Using ARIMA models we found a relative percentage decrease in mean monthly readmissions in the post-intervention period for cholecystectomy (5.9%; CI 0.1%-11.8%) and stroke (13.6%; CI 3.1%-24.2%). There was no evidence of intervention impact on pneumonia and general readmissions, both overall and among small, medium and large hospitals. There was also no evidence of change in non-P4P readmissions of myocardial infarction, cataract surgery and appendectomy. Conclusions Including readmissions within pay-for-performance has the potential to improve hospital performance and patient outcomes, even in countries with more limited resources. Effects may vary across conditions, indicating the need for careful design and understanding of the particular context, both with respect to implementation and to evaluation of impact.

Background: Despite advances in medical treatments, readmission of stroke patients remains high and has been reported between 31% and 56.1% during the first year after discharge. The difference between the risk factors of readmission and the risk factors of stroke is not clear. The purpose of this study is: 1) to determine the preventable risk factors associated with stroke readmission and 2) to provide a conceptual model for preventable factors that effective in the readmission of stroke patients. Methods: This integrated review was performed according to Whittemore and Knafl (2005) method in five stages including problem identification, literature search, data evaluation, data analysis, and presentation. In order to find relevant articles, PubMed, Web of Science, CINAHL, Scopus databases and Google Scholar search engine were searched. The search was conducted using the keywords "stroke," "readmission," "recurrence," "re-hospitalization," "review," and "systematic review," for the period between January 2023 and September 2023, following the PRISMA guidelines. In addition to providing a qualitative synthesis of readmission factors categorized into categories, a conceptual model of these factors was also presented. Results: Out of a total of 3785 article titles, 38 articles were included in the study for the final analysis after screening and removing duplicates. The most important risk factors for readmission in four categories: (1) knowledge deficit about the comorbidities (such as hypertension, atrial fibrillation, diabetes), (2) unhealthy diet and medicine, (3) high-risk behaviors (smoking, alcohol consumption, and tobacco use disorder), and (4) psychological distress (depression and worry about the future). In addition, the conceptual model showed that the most important preventable factor in readmission of stroke patients is of knowledge deficit about comorbidities (especially hypertension). Conclusion: The most important preventable risk factors that are effective in the readmission of stroke patients are knowledge deficit regarding clinical risk factors, especially high blood pressure, high-risk behaviors and unhealthy diet and medicine. Therefore, more detailed care and follow-up programs should be designed for stroke patients after discharge.