Risk Of Readmission Research Articles

Associations Between Readmission and Length of Stay in the Acute Admission Unit for Patients with Alcohol-Related Diagnoses-A Cohort Study.

Patients with alcohol-related diagnosis in emergency departments (ED) are at high risk of readmission. Evidence shows an association between alcohol related admissions and a wide range of diseases and disorders. Understanding the risk factors for readmission and the asso-ciation with length of stay in the ED may help identify those who would benefit from targeted interventions. Thus, the hypothesis of this study is that patients with alcohol-related diagnoses and a short length of stay in the ED have a higher risk for readmission. Therefore, this study aimed to investigate the association between length of stay in the ED and 30-day readmission for patients with alcohol-related acute admissions as well as to uncover possible risk factors for 30-day read-mission. The study used a retrospective cohort design and was carried out from March 1, 2019, to January 31, 2020. The inclusion criteria were ≥ 18 years, admitted to an ED, and having an alcohol-related primary or secondary diagnosis (based on ICD-10 codes). Patients were fol-lowed for 30 days after discharge from initial hospitalization to identify associations between length of stay and 30-day readmission. We included 1,174 patients and found that 17% (95% CI: 15-20) of the patients admitted with an alcohol-related primary or secondary diagnosis were readmitted within 30 days. The hazard ratio (HR) for readmission increased with length of stay when compared to admission ≤ 24 hr; admission > 24-48 hr HR 1.50 (95% CI: 1.08-2.08), admission > 48 hr HR 2.08 (95% CI: 1.23-3.52). The study revealed that patients with alcohol-related diagnoses were at a higher risk of ED readmission the longer they stayed in the ED. Furthermore, the risk of readmis-sion increased if patients had a medical or psychiatric diagnosis prior to admission or lived alone.

Serum Chloride and the Response to Acetazolamide in Patients With Acute Heart Failure and Volume Overload: A Post Hoc Analysis From the ADVOR Trial.

Chloride plays a crucial role in renal salt sensing. This study investigates whether serum chloride is associated with clinical outcomes and decongestive response to acetazolamide in patients with acute decompensated heart failure. This post hoc analysis includes all 519 patients from the ADVOR trial (Acetazolamide in Decompensated Heart Failure With Volume Overload), randomized to intravenous acetazolamide or matching placebo on top of intravenous loop diuretics. The impact of baseline serum chloride on the main trial end points and the treatment effect of acetazolamide was assessed, as was the evolution of serum chloride under decongestive treatment. Hypochloremia (<96 mmol/L) and hyperchloremia (>106 mmol/L) were present in 80 (15%) and 53 (10%), respectively, at baseline. Hypochloremia was associated with significantly slower decongestion, a longer length of hospital stay, and increased risk of all-cause mortality and heart failure readmissions. Acetazolamide increased the odds of successful decongestion and reduced length of stay irrespectively of baseline serum chloride levels. No statistically significant interaction between serum chloride levels and the effect of acetazolamide on death or heart failure readmissions was observed. The placebo group exhibited a progressive decline in serum chloride, which was effectively prevented by acetazolamide (P<0.001). Hypochloremia is associated with diuretic resistance and worse clinical outcomes. Add-on acetazolamide therapy improves decongestion across the entire range of serum chloride and prevents the drop in chloride levels caused by loop diuretic monotherapy. URL: https://www.clinicaltrials.gov; Unique identifier: NCT03505788.

Readmission Outcomes in Kidney Transplant Recipients With and Without Delayed Graft Function

Delayed graft function (DGF) is a common post-transplant event associated with increased resource utilization. As a center with experience in DGF, we aimed to assess differences in readmissions and post-transplant outcomes between patients with and without DGF. This was a retrospective review of deceased donor kidney transplant recipients at Mayo Clinic Arizona between 2015 and 2020. Recipients with at least one early readmission following kidney transplantation were included in the study. Two groups were identified: (1) recipients with DGF who required early readmission and (2) recipients without DGF who required early readmission. Among recipients with DGF, 43.9% (n = 405) required early readmission compared to 29.1% (n = 179) without DGF (P < .0001). There were no differences in the initial hospital length of stay (P = .08), and most recipients in both groups only required a single readmission (61.7% vs 72.1%, P = .02). Recipients with DGF were more likely to have ≥2 readmissions (P = .02) and a higher total readmission rate (P = .006). Recipients with DGF who required readmission also required more outpatient clinic visits (P = .003). When comparing recipients with and without DGF who required readmission, there were no differences in patient (P = .22) or death-censored (P = .72) graft survival. When comparing patients with and without DGF requiring one versus ≥2 readmissions, there were no differences in patient survival (P = .15), however patients with DGF and ≥2 readmissions had lower death-censored graft survival (P = .001). Recipients with DGF are at increased risk of readmission. Transplant center-level changes to reduce readmissions and infections could have an important impact on DGF outcomes.

A predictive model for readmission within 1-year post-discharge in patients with schizophrenia

BackgroundSchizophrenia is a pervasive and severe mental disorder characterized by significant disability and high rates of recurrence. The persistently high rates of readmission after discharge present a serious challenge and source of stress in treating this population. Early identification of this risk is critical for implementing targeted interventions. The present study aimed to develop an easy-to-use predictive instrument for identifying the risk of readmission within 1-year post-discharge among schizophrenia patients in China.MethodsA prediction model, based on static factors, was developed using data from 247 schizophrenia inpatients admitted to the Mental Health Center in Wuxi, China, from July 1 to December 31, 2020. For internal validation, an additional 106 patients were included. Multivariate Cox regression was applied to identify independent predictors and to create a nomogram for predicting the likelihood of readmission within 1-year post-discharge. The model’s performance in terms of discrimination and calibration was evaluated using bootstrapping with 1000 resamples.ResultsMultivariate cox regression demonstrated that involuntary admission (adjusted hazard ratio [aHR] 4.35, 95% confidence interval [CI] 2.13–8.86), repeat admissions (aHR 3.49, 95% CI 2.08–5.85), the prescription of antipsychotic polypharmacy (aHR 2.16, 95% CI 1.34–3.48), and a course of disease ≥ 20 years (aHR 1.80, 95% CI 1.04–3.12) were independent predictors for the readmission of schizophrenia patients within 1-year post-discharge. The area under the curve (AUC) and concordance index (C-index) of the nomogram constructed from these four factors were 0.820 and 0.780 in the training set, and 0.846 and 0.796 for the validation set, respectively. Furthermore, the calibration curves of the nomogram for both the training and validation sets closely approximated the ideal diagonal line. Additionally, decision curve analyses (DCAs) demonstrated a significantly better net benefit with this model.ConclusionsA nomogram, developed using pre-discharge static factors, was designed to predict the likelihood of readmission within 1-year post-discharge for patients with schizophrenia. This tool may offer clinicians an accurate and effective way for the timely prediction and early management of psychiatric readmissions.

Prediction of 90day readmission in heart failure with preserved ejection fraction by interpretable machine learning.

Certain critical risk factors of heart failure with preserved ejection fraction (HFpEF) patients were significantly different from those of heart failure with reduced ejection fraction (HFrEF) patients, resulting in the limitations of existing predictive models in real-world situations. This study aimed to develop a machine learning model for predicting 90day readmission for HFpEF patients. Data were extracted from electronic health records from 1 August 2020 to 1 August 2021 and follow-up records of patients with HFpEF within 3months after discharge. Feature extraction was performed by univariate analysis combined with the least absolute shrinkage and selection operator (LASSO) algorithms. Machine learning models like eXtreme Gradient Boosting (XGBoost), random forest, neural network and logistic regression were adopted to construct models. The discrimination and calibration of each model were compared, and the Shapley Additive exPlanations (SHAP) method was used to explore the interpretability of the model. The cohort included 746 patients, of whom 103 (13.8%) were readmitted within 90days. XGBoost owned the best performance [area under the curve (AUC)=0.896, precision-recall area under the curve (PR-AUC)=0.868, sensitivity=0.817, specificity=0.837, balanced accuracy=0.827]. The Kolmogorov-Smirnov (KS) statistic was 0.694 at 0.468 in the XGBoost model. SHAP identified the top 12 risk features, including activities of daily living (ADL), left atrial dimension (LAD), left ventricular end-diastolic diameter (LVDD), shortness, nitrates, length of stay, nutritional risk, fall risk, accompanied by other symptoms, educational level, anticoagulants and edema. Our model could help medical agencies achieve the early identification of 90day readmission risk in HFpEF patients and reveal risk factors that provide valuable insights for treatments.

Disparities in postdischarge follow-up and risk of readmission between Medicaid and privately insured patients.

Studies have identified higher risk of readmission for patients with Medicaid compared to those with private insurance. Postdischarge follow-up is utilized as an intervention to reduce readmissions in the Medicare population, but it is unclear whether follow-up reduces risk of readmission for patients with Medicaid. To assess whether follow-up within 30 days of discharge reduces risk of readmission and mitigates readmission disparities based upon insurance status. This retrospective cohort study used Cox proportional hazard and competing risk models to estimate associations between sociodemographic and clinical characteristics, follow-up, and readmission. We analyzed data from 4281 patients aged 21-64 years with Medicaid or private insurance who were hospitalized from January 2017 to December 2019 for one of five conditions associated with high risk of readmission. Outpatient follow-up within 30 days of discharge and 30-day all-cause readmission were outcomes. Overall risk of readmission was similar for Medicaid and privately insured patients in this cohort (13.7% and 14.5%, respectively). Patients with Medicaid were 23% points less likely to complete outpatient follow-up within 30 days compared to patients with private insurance (p < .001). However, outpatient follow-up before readmission within 30 days of discharge was not associated with a significant difference in readmission rate (hazard ratio: 1.10, 95% confidence interval: 0.91-1.32) in the overall sample or in analysis stratified by payer. We found similar rates of readmission for Medicaid and privately insured patients despite significant disparities in postdischarge follow-up. Timely follow-up care alone may not be sufficient as an intervention to reduce readmissions.

Diagnosing Sarcopenia with AI-Aided Ultrasound (DINOSAUR)-A Pilot Study.

Background: Sarcopenia has been recognized as a determining factor in surgical outcomes and is associated with an increased risk of postoperative complications and readmission. Diagnosis is currently based on clinical guidelines, which includes assessment of skeletal muscle mass but not quality. Ultrasound has been proposed as a useful point-of-care diagnostic tool to assess muscle quality, but no validated cut-offs for sarcopenia have been reported. Using novel automated artificial intelligence (AI) software to interpret ultrasound images may assist in mitigating the operator-dependent nature of the modality. Our study aims to evaluate the fidelity of AI-aided ultrasound as a reliable and reproducible modality to assess muscle quality and diagnose sarcopenia in surgical patients. Methods: Thirty-six adult participants from an outpatient clinic were recruited for this prospective cohort study. Sarcopenia was diagnosed according to Asian Working Group for Sarcopenia (AWGS) 2019 guidelines. Ultrasonography of the rectus femoris muscle was performed, and images were analyzed by an AI software (MuscleSound® (Version 5.69.0)) to derive muscle parameters including intramuscular adipose tissue (IMAT) as a proxy of muscle quality. A receiver operative characteristic (ROC) curve was used to assess the predictive capability of IMAT and its derivatives, with area under the curve (AUC) as a measure of overall diagnostic accuracy. To evaluate consistency between ultrasound users of different experience, intra- and inter-rater reliability of muscle ultrasound parameters was analyzed in a separate cohort using intraclass correlation coefficients (ICC) and Bland-Altman plots. Results: The median age was 69.5 years (range: 26-87), and the prevalence of sarcopenia in the cohort was 30.6%. The ROC curve plotted with IMAT index (IMAT% divided by muscle area) yielded an AUC of 0.727 (95% CI: 0.551-0.904). An optimal cut-off point of 4.827%/cm2 for IMAT index was determined with a Youden's Index of 0.498. We also demonstrated that IMAT index has excellent intra-rater reliability (ICC = 0.938, CI: 0.905-0.961) and good inter-rater reliability (ICC = 0.776, CI: 0.627-0.866). In Bland-Altman plots, the limits of agreement were from -1.489 to 1.566 and -2.107 to 4.562, respectively. Discussion: IMAT index obtained via ultrasound has the potential to act as a point-of-care evaluation for sarcopenia screening and diagnosis, with good intra- and inter-rater reliability. The proposed IMAT index cut-off maximizes sensitivity for case finding, supporting its use as an easily implementable point-of-care test in the community for sarcopenia screening. Further research incorporating other ultrasound parameters of muscle quality may provide the basis for a more robust diagnostic tool to help predict surgical risk and outcomes.

Association between new insertion of a long-term enteral feeding tube and mortality in adults admitted to the hospital with aspiration: A retrospective cohort study.

We aimed to describe the association between insertion of a new long-term enteral feeding tube during admission for aspiration and in-hospital mortality. This retrospective cohort study across 28 Canadian hospitals from 2015 to 2022 included consecutive patients who were admitted for aspiration. Patients were categorized based on new long-term enteral feeding tube insertion during hospital stay or not. The primary outcome was the time to death in hospital. Secondary outcomes included time to discharge alive and hospital readmission for aspiration within 90 days. We used propensity score weighting to balance covariates, and a competing risk model to describe in-hospital death and discharge. Of 12,850 patients admitted for aspiration, 852 (6.6%) patients received a long-term enteral feeding tube. In the hospital, 184 (21.6%) and 2489 (20.8%) patients in the enteral feeding tube group and no enteral feeding tube group died, respectively. Within 90 days of discharge, 127 (14.9%) and 1148 (9.6%) patients in the enteral feeding tube and no enteral feeding tube group were readmitted for aspiration, respectively. After balancing covariates, an enteral feeding tube was associated with a similar in-hospital mortality risk (subdistribution hazard ratio [sHR] = 1.05, 95% CI = 0.89-1.23; P = 0.5800), longer time to discharge alive (sHR = 0.58, 95% CI = 0.54-0.63; P < 0.0001), and a higher risk of readmission (risk difference = 5.0%, 95% CI = 2.4%-7.6%; P = 0.0001). Initiation of long-term enteral tube feeding was not uncommon after admission for aspiration and was not associated with an improvement in the probability of being discharged alive from the hospital or readmitted for aspiration.

Investigating the impact of extreme weather events and related indicators on cardiometabolic multimorbidity

BackgroundThe impact of weather on human health has been proven, but the impact of extreme weather events on cardiometabolic multimorbidity (CMM) needs to be urgently explored.ObjectivesInvestigating the impact of extreme temperature, relative humidity (RH), and laboratory testing parameters at admission on adverse events in CMM hospitalizations.DesignsTime-stratified case-crossover design.MethodsA distributional lag nonlinear model with a time-stratified case-crossover design was used to explore the nonlinear lagged association between environmental factors and CMM. Subsequently, unbalanced data were processed by 1:2 propensity score matching (PSM) and conditional logistic regression was employed to analyze the association between laboratory indicators and unplanned readmissions for CMM. Finally, the previously identified environmental factors and relevant laboratory indicators were incorporated into different machine learning models to predict the risk of unplanned readmission for CMM.ResultsThere are nonlinear associations and hysteresis effects between temperature, RH and hospital admissions for a variety of CMM. In addition, the risk of admission is higher under low temperature and high RH conditions with the addition of particulate matter (PM, PM2.5 and PM10) and O3_8h. The risk is greater for females and adults aged 65 and older. Compared with first quartile (Q1), the fourth quartile (Q4) had a higher association between serum calcium (HR = 1.3632, 95% CI: 1.0732 ~ 1.7334), serum creatinine (HR = 1.7987, 95% CI: 1.3528 ~ 2.3958), fasting plasma glucose (HR = 1.2579, 95% CI: 1.0839 ~ 1.4770), aspartate aminotransferase/ alanine aminotransferase ratio (HR = 2.3131, 95% CI: 1.9844 ~ 2.6418), alanine aminotransferase (HR = 1.7687, 95% CI: 1.2388 ~ 2.2986), and gamma-glutamyltransferase (HR = 1.4951, 95% CI: 1.2551 ~ 1.7351) were independently and positively associated with unplanned readmission for CMM. However, serum total bilirubin and High-Density Lipoprotein (HDL) showed negative correlations. After incorporating environmental factors and their lagged terms, eXtreme Gradient Boosting (XGBoost) demonstrated a more prominent predictive performance for unplanned readmission of CMM patients, with an average area under the receiver operating characteristic curve (AUC) of 0.767 (95% CI:0.7486 ~ 0.7854).ConclusionsExtreme cold or wet weather is linked to worsened adverse health effects in female patients with CMM and in individuals aged 65 years and older. Moreover, meteorologic factors and environmental pollutants may elevate the likelihood of unplanned readmissions for CMM.

Tele-medicine controlled hospital at home is associated with better outcomes than hospital stay.

Hospital-at-home (HAH) is increasingly becoming an alternative for in-hospital stay in selected clinical scenarios. Nevertheless, there is still a question whether HAH could be a viable option for acutely ill patients, otherwise hospitalized in departments of general-internal medicine. This was a retrospective matched study, conducted at a telemedicine controlled HAH department, being part of a tertiary medical center. The objective was to compare clinical outcomes of acutely ill patients (both COVID-19 and non-COVID) admitted to either in-hospital or HAH. Non-COVID patients had one of three acute infectious diseases: urinary tract infections (UTI, either lower or upper), pneumonia, or cellulitis. The analysis involved 159 HAH patients (64 COVID-19 and 95 non-COVID) who were compared to a matched sample of in-hospital patients (192 COVID-19 and 285 non-COVID). The median length-of-hospital stay (LOS) was 2 days shorter in the HAH for both COVID-19 patients (95% CI: 1-3; p = 0.008) and non-COVID patients (95% CI; 1-3; p < 0.001). The readmission rates within 30 days were not significantly different for both COVID-19 patients (Odds Ratio (OR) = 1; 95% CI: 0.49-2.04; p = 1) and non-COVID patients (OR = 0.7; 95% CI; 0.39-1.28; p = 0.25). The differences remained insignificant within one year. The risk of death within 30 days was significantly lower in the HAH group for COVID-19 patients (OR = 0.34; 95% CI: 0.11-0.86; p = 0.018) and non-COVID patients (OR = 0.38; 95% CI: 0.14-0.9; p = 0.019). For one year survival period, the differences were significant for COVID-19 patients (OR = 0.5; 95% CI: 0.31-0.9; p = 0.044) and insignificant for non-COVID patients (OR = 0.63; 95% CI: 0.4-1; p = 0.052). Care for acutely ill patients in the setting of telemedicine-based hospital at home has the potential to reduce hospitalization length without increasing readmission risk and to reduce both 30 days and one-year mortality rates.

Combined risk estimates of diabetes and coronary angiography-derived index of microcirculatory resistance in patients with non-ST elevation myocardial infarction

BackgroundDiabetes mellitus (DM) and coronary microvascular dysfunction (CMD) increase the risk of adverse cardiac events in patients with non-ST-segment elevation myocardial infarction (NSTEMI). This study aimed to evaluate the combined risk estimates of DM and CMD, assessed by the angiography-derived index of microcirculatory resistance (angio-IMR), in patients with NSTEMI.MethodsA total of 2212 patients with NSTEMI who underwent successful percutaneous coronary intervention (PCI) were retrospectively enrolled from three centers. The primary outcome was a composite of cardiac death or readmission for heart failure at a 2-year follow-up.ResultsPost-PCI angio-IMR did not significantly differ between the DM group and the non-DM group (20.13 [17.91–22.70] vs. 20.19 [18.14–22.77], P = 0.530). DM patients exhibited a notably higher risk of cardiac death or readmission for heart failure at 2 years compared to non-DM patients (9.5% vs. 5.4%, P < 0.001). NSTEMI patients with both DM and CMD experienced the highest cumulative incidence of cardiac death or readmission for heart failure at 2 years (24.0%, P < 0.001). The combination of DM and CMD in NSTEMI patients were identified as the most powerful independent predictor for cardiac death or readmission for heart failure at 2 years (adjusted HR: 7.894, [95% CI, 4.251–14.659], p < 0.001).ConclusionsIn patients with NSTEMI, the combination of DM and CMD is an independent predictor of cardiac death or readmission for heart failure. Angio-IMR could be used as an additional evaluation tool for the management of NSTEMI patients with DM.Trial registrationURL: https://www.clinicaltrials.gov; Unique identifier: NCT05696379.Graphical

A Novel Frailty Index Can Predict the Short-Term Outcomes of Esophagectomy in Older Patients with Esophageal Cancer.

Background: Frailty, rather than age, is associated with postoperative morbidity and mortality. We sought to determine whether preoperative frailty as defined by a novel scoring system could predict the outcomes among older patients undergoing esophagectomy. Methods: We identified patients 65 years or older who underwent esophagectomy between 2011 and 2021 at our institution. Frailty was assessed using the MSK-FI, which consists of 1 component related to functional status and 10 medical comorbidities. We used a multivariable logistic regression model to test for the associations between frailty and short-term outcomes, with continuous frailty score as the predictor and additionally adjusted for age and Eastern Cooperative Oncology Group performance status. Results: In total, 447 patients were included in the analysis (median age of 71 years [interquartile range, 68-75]). Most of the patients underwent neoadjuvant treatment (81%), an Ivor Lewis esophagectomy (86%), and minimally invasive surgery (55%). A total of 22 patients (4.9%) died within 90 days of surgery, 144 (32%) had a major complication, 81 (19%) were readmitted, and 31 (7.2%) were discharged to a facility. Of the patients who died within 90 days, 19 had a major complication, yielding a failure-to-rescue rate of 13%. The risk of 30-day major complications (OR, 1.24 [95% CI, 1.09-1.41]; p = 0.001), readmissions (OR, 1.31 [95% CI, 1.13-1.52]; p < 0.001), and discharge to a facility (OR, 1.86 [95% CI, 1.49-2.37]; p < 0.001) increased with increasing frailty. Frailty and 90-day mortality were not associated. Conclusions: Frailty assessment during surgery decision-making can identify patients with a high risk of morbidity.

Critical values for body mass index related to morbidity in high-volume low-complexity general surgery: a systematic review and meta-analysis.

The aim of this study was to investigate the effect of body mass index (BMI, kg/m2) on outcomes of high-volume low-complexity (HVLC) general surgery procedures and to determine critical values for BMI when selecting patients into HVLC programmes. A systematic review was conducted of studies looking at patients in different BMI categories undergoing HVLC general surgery procedures (laparoscopic cholecystectomy, inguinal hernia repair and umbilical or paraumbilical hernia repair), in accordance with the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. A comparison meta-analysis model was constructed to compare the outcomes using random-effects modelling. The QUIPS (Quality In Prognosis Studies) tool and GRADE (Grading of Recommendations Assessment, Development and Evaluation) system were used to assess bias. A total of 26 studies including 486,392 patients were examined. In laparoscopic cholecystectomy, BMI ≥40 was associated with higher conversion to open surgery (odds ratio [OR]: 1.33, p=0.040) but did not affect complications (OR: 0.69, p=0.400) or length of hospital stay (mean difference [MD]: -0.01 days, p=0.900). In inguinal hernia repair, BMI ≥35 was associated with longer operative time (MD: 18.00 minutes, p<0.00001), and higher risk of wound complications (OR: 3.01, p<0.00001) and hospital readmission (OR: 1.46, p=0.0008). In umbilical or paraumbilical hernia repair, BMI ≥30 was associated with higher risk of wound complications (OR: 6.45, p<0.0001) and hospital readmission (OR: 5.56, p<0.00001), and longer operative time (MD: 4.01 minutes, p=0.030). Obesity was associated with longer operative time (up to 23 minutes) and higher risk of postoperative morbidity (up to 4-fold) in HVLC procedures. BMI <40 (moderate GRADE certainty - laparoscopic cholecystectomy) and BMI <35 (moderate GRADE certainty - inguinal hernia) appear to represent optimal critical values for perioperative safety metrics.

Simultaneously implementing pathways for improving asthma, pneumonia, and bronchiolitis care for hospitalized children: Protocol for a hybrid effectiveness-implementation, cluster-randomized trial.

Asthma, pneumonia, and bronchiolitis are the top causes of childhood hospitalization in the United States, leading to over 350,000 hospitalizations and ≈$2 billion in costs annually. The majority of these hospitalizations occur in general/community hospitals. Poor guideline adoption by clinicians contributes to poor health outcomes for children hospitalized with these illnesses, including longer recovery time/hospital stay, higher rates of intensive care unit transfer, and increased risk of hospital readmission. A prior single-center study at a children's hospital tested a multicondition clinical pathway intervention (simultaneous implementation of multiple pathways for multiple pediatric conditions) and demonstrated improved clinician guideline adherence and patient health outcomes. This intervention has not yet been studied in community hospitals, which face unique implementation barriers. To study the implementation and effectiveness of a multicondition pathway intervention for children hospitalized with asthma, pneumonia, or bronchiolitis in community hospitals. We will conduct a pragmatic, hybrid effectiveness-implementation, cluster-randomized trial in community hospitals around the United States (1:1 randomization to intervention vs. wait-list control). Our primary outcome will be the adoption of 2-3 evidence-based practices for each condition over a sustained period of 2 years. Secondary outcomes include hospital length of stay, ICU transfer, and readmission. This hybrid trial will lead to a comprehensive understanding of how to pragmatically and sustainably implement a multicondition pathway intervention in community hospitals and an assessment of its effects. Enrollment began in July 2022 and is projected to be completed in September 2024. Primary analysis completion is anticipated in March 2025, with reporting of results following.

Primary care-based approaches to reduce readmissions: older patients’ perspectives on the transition of care from secondary care to primary care

PurposeReadmissions to the hospital are expensive and can have negative health consequences for patients. Older adults are at greater risk of readmission. Patient perspectives are valuable in identifying areas for improvement in the transition of care. The purpose of this qualitative study is to increase our understanding of patients’ perspectives on the transition of care from hospital to primary care.Design/methodology/approachThis study employs a qualitative methodology to conduct semi-structured interviews with patients who have been discharged from hospitals in the Ireland East Hospital Group region. Remote interviews were conducted with 18 participants from eight general practices. Transcripts were analysed using thematic analysis as described by Braun and Clarke.FindingsThe three main themes identified were communication, outpatient supports and patient education. Gaps in communication do occur, but patients are often too external to comment. Patients benefit from a wide variety of outpatient supports including general practice, family, carers, allied health professionals and voluntary organisations. Access and cost are barriers to these supports. Participants were generally positive towards proposed primary care-based interventions such as follow-up appointments with general practitioners (GPs) and education sessions.Originality/valueThis study highlights a number of areas for improvement in the transition of care in current practice including communication between services and access to outpatient care. It also suggests directions for further research, such as explorations of healthcare provider perspectives and pilot studies of readmission reduction interventions.

Effects of Social Isolation and Loneliness on Heart Failure Self-care: A Cross-sectional Analysis.

Patients with heart failure (HF) who engage in effective HF self-care have better quality of life, and lower risks of all-cause and HF-related hospital readmission and mortality. It is unclear whether social isolation and loneliness, which are prevalent among patients with HF and known to affect other self-care behaviors, can predict HF self-care. The aim was to explore the relationship between social isolation, loneliness, and HF self-care. This was a cross-sectional secondary analysis (n = 49) of the GEtting iNTo Light Exercise for HF randomized controlled trial, a 6-month home-based live group gentle exercise intervention for patients with HF. Measures included the following: 6-item Lubben Social Network Scale for social isolation, Patient-Reported Outcomes Measurement Information System Social Isolation survey for loneliness, Self-Care of Heart Failure Index, and Patient-Reported Outcomes Measurement Information System Depression survey. Multiple linear regression modeling was used to examine the relationships of 4 HF self-care processes to social isolation and loneliness, adjusting for depression and grouping (control group or intervention group). Scores indicating less social isolation predicted higher self-care maintenance (B = 0.937, P = .015), monitoring (B = 0.799, P = .041), and management (B = 1.812, P < .001). Loneliness did not predict HF self-care. To our knowledge, this is the first study to predict HF self-care using distinct measures for social isolation and loneliness. Patients who were less socially isolated engaged in better HF self-care; loneliness had no relationship with HF self-care. Prospective studies are needed to investigate causal relationships between social isolation and HF-self-care engagement to determine the effect on outcomes such as hospital readmission and mortality.

Clinical phenotypes of heart failure patients with supranormal ejection fraction.

Heart failure (HF) with supranormal ejection fraction (HFsnEF) represents a distinct clinical entity characterized by limited treatment options and an unfavourable prognosis. Revealing its phenotypic diversity is crucial for understanding disease mechanism and optimizing patient management. We aim to identify phenotypic subgroups in HFsnEF using unsupervised clustering analysis. Consecutive hospitalized patients with a diagnosis of HF and a left ventricular ejection fraction ≥65% at baseline echocardiographic evaluations were included for analysis. We conducted unsupervised hierarchical clustering analysis on principal components (HCPC) to identify HFsnEF phenogroups using mixed data variables including demographics, HF duration, vital signs, anthropometrics, smoking/drinking status, HF aetiology, comorbid diseases, laboratory tests and echocardiographic parameters. We then employed decision tree modelling to identify parameters capable of distinguishing distinct clusters. Clinical outcomes, including all-cause death, cardiovascular (CV) death and CV readmission for different clusters, were examined. Three mutually exclusive clusters were identified from the cohort of 221 HFsnEF patients. Cluster 1 (52.5%) predominantly consisted of patients with valvular heart disease, who had larger cardiac chambers and a higher prevalence of atrial fibrillation/atrial flutter. Cluster 2 (26.2%) primarily comprised older ischaemic patients with a higher prevalence of metabolic comorbidities. Cluster 3 (21.3%) were mainly hypertrophic cardiomyopathy patients. Two clinical variables were identified that could be used to group all HFsnEF patients into one of the clusters; they were HF aetiology and comorbid diabetes. During the median follow-up of 53.4months, 46 (20.8%) all-cause deaths occurred, among them 39 of CV causes. Seventy (31.7%) patients experienced CV readmissions. Three clusters showed distinct differences in mortality outcomes, with Cluster 1 exhibiting the highest risk of all-cause mortality [Cluster 1 vs. Cluster 2: adjusted hazard ratio (aHR)=3.32, P=0.022; Cluster 1 vs. Cluster 3: aHR=3.81, P=0.036; Cluster 2 vs. Cluster 3: aHR=1.15, P=0.865] and CV mortality (Cluster 1 vs. Cluster 2: aHR=3.73, P=0.022; Cluster 1 vs. Cluster 3: aHR=4.27, P=0.020; Cluster 2 vs. Cluster 3: aHR=1.15, P=0.870). CV readmission risk was comparable among the three clusters (Cluster 1 vs. Cluster 2: aHR=0.82, P=0.590; Cluster 1 vs. Cluster 3: aHR=1.04, P=0.900; Cluster 2 vs. Cluster 3: aHR=1.28, P=0.580). In a heterogeneous HFsnEF cohort, three clusters were identified by unsupervised HCPC with distinct clinical characteristics and outcomes.

Vitamin D deficiency and its impact on outcomes in myocardial infarction patients: a prospective observational study

Objectives: Vitamin D deficiency has been linked to cardiovascular diseases, but its impact on outcomes in myocardial infarction (MI) patients remains unclear. This study investigated the relationship between serum vitamin D levels and short-term and medium-term outcomes in patients with myocardial infarction. Ischemic heart diseases (IHD) are the most common cause of death in the world. Identifying risk factors and predictors can play a critical role in identifying high-risk people in screenings, identifying high-risk patients during admission to the hospital, and adjusting these risk factors in patients to improve prognosis. Methods: This prospective observational study was conducted on 212 patients diagnosed with myocardial infarction at Seyed al-Shohada Hospital in Urmia, Iran. Having been admitted, the patients had their serum vitamin D levels measured using the same blood sample for routine tests. Levels of vitamin D were categorized as normal (&gt;30 ng/ml), insufficient (21-29 ng/ml), or deficient (&lt;20 ng/ml). The patient's files provided the demographic, clinical, and biomedical information, echocardiography, and angiography data. The patients were followed for at least six months post-MI, with a maximum follow-up of 11 months. Follow-up occurred through monthly phone calls and outpatient clinic visits as needed. Primary outcomes included in-hospital complications (such as death, significant bleeding, acute pulmonary edema, cardiogenic shock, and arrhythmias), cardiac readmissions, and mortality. Logistic regression and Cox regression analyses were used to examine the connection between outcome variables and vitamin D levels, adjusting for potential confounders including age, gender, blood pressure, diabetes, blood lipids, creatinine, disease severity (SYNTAX score*), and left ventricular ejection fraction. The mean serum level of vitamin D in patients on admission was 33. 62 ng/dL. The average number of hospitalization days was 4.8 days, and the rate of re-hospitalization was 26.6% in the six-month follow-up and 30.3% in the 9-month follow-up. The hospital mortality rate was equal to 1.4%, and the mortality rate at the end of the follow-up period was equal to 8.3%. The most common complication during hospitalization among the patients was ventricular tachycardia. However, in follow-up, re-hospitalization due to previous issues was the most common complication. Results: The mean serum vitamin D level was 33. 62 ng/ml,with 52.8% of patients having insufficient or deficient levels. The most common in-hospital complication was ventricular tachycardia (11.5%). Vitamin D deficiency was not significantly associated with in-hospital complications. However, during the follow-up period, vitamin D deficiency was significantly related to increased risk of readmission to hospital (HR: 6.984, 95% CI: 3.500-13.936, p&lt;0.001). The 6-month readmission rate was 26.6%, increasing to 30.3% at 9 months. Vitamin D deficiency was also associated with increased cardiac mortality (HR: 12.936, 95% CI: 1.494- 112.016, p=0.020) during follow-up. The 9-month mortality rate was 8.3%. Other factors contributing to cardiac mortality included disease severity (SYNTAX score) and female gender. Conclusions: While vitamin D deficiency did not impact short-term complications, it was associated with increased risk of hospitalreadmission and mortality in MI patients during medium-term follow-up. These findings suggest that vitamin D status can significantly impact long-term outcomes for MI patients

‘I didn’t want to go home’ patient-identified modifiable risk factors associated with hospital readmission: a qualitative study

Background Hospital readmissions are costly for patients, their families and healthcare systems. Identifying and addressing risk factors can reduce the number of people who experience readmission. Few studies have explored modifiable risk factors such as health beliefs from patients’ perspective to explore the complexity of risk factors for readmission. This study aimed to identify modifiable readmission risk factors from the perspectives of patients who have experienced readmission and their families. Methods Adults (≥18 years) readmitted within 30 days of discharge to a general medical or surgical ward at a large urban hospital in New Zealand were invited to participate in a semi-structured interview to explore their readmission experience. Interviews were conducted during the readmission and were analysed using inductive thematic analysis. Results A total of 30 participants were interviewed. Six themes relating to readmission were identified: inadequate communication between health professionals and patients, misalignment between patient illness perceptions and treatment, unclear or missing information, poor health literacy, poor medication mismanagement, and health system factors. Conclusions These findings highlight the importance of considering patient experiences, such as their expectations, illness and treatment beliefs, to reduce readmissions. Ensuring communication is patient centred and quality professional-patient relationships could reduce readmissions.

Readmissions Among Patients With Surgically Managed Drug Use Associated-Infective Endocarditis Before and After the Implementation of an Addiction Consult Team: A Retrospective, Observational Analysis.

Patients who undergo cardiac surgery for drug use-associated infective endocarditis (DUA-IE) have high rates of readmissions for recurrent endocarditis, substance use disorder (SUD), and septicemia. Our primary objective was to assess whether exposure to an addiction consult team (ACT) was associated with reduced readmissions in this population. This single-center retrospective analysis identified patients who underwent cardiac surgery for DUA-IE between 1/2012-9/2022 using the Society for Thoracic Surgeons database, and compared the cumulative incidence of readmissions at 1, 3, 6, and 12 months among those cared for before and after the implementation of an ACT in 9/2017, accounting for competing risk of mortality and adjusted for measured confounders using inverse probability of treatment weighting. The 58 patients (35 pre-ACT and 23 post-ACT) were young (36.4 +/- 7.7 years) and predominantly White (53.4%) and male (70.7%). The post-ACT cohort had a significantly lower risk of readmission at 1 month (adjusted risk difference [RD] -23.8% [95% CI -94.4%, -8.3%], P = 0.005) and 3 months (RD -34.1% [-55.1%, -13.1%], P = 0.005), but not at 6 or 12 months. In a sensitivity analysis, the post-ACT cohort also had significantly lower risk of readmissions for SUD complications at 3 months. ACT exposure was associated with a lower risk of short-term readmission among patients with surgically managed DUA-IE, possibly due to a reduction in SUD-related complications. Additional studies are needed to replicate these findings and to identify ways to sustain the potential benefits of ACTs over the longer term.