Readmission Rates Research Articles

Predicting Outcomes after Hospitalisation for COPD Exacerbation Using Machine Learning

BackgroundEarly readmission and death are critical adverse outcomes following hospitalisation due to exacerbation of chronic obstructive pulmonary disease (ECOPD). This study aimed to develop and validate machine learning models to enhance the prediction of these outcomes after ECOPD hospitalisation.MethodsUtilising a nationwide database, data from the index ECOPD hospitalisation and the preceding year were collected. Prediction models for 30-day readmission and death were developed using logistic lasso regression, random forest, extreme gradient boosting (XGBoost), and neural network, with the LACE index serving as a reference. Model performance was assessed with receiver operating characteristic (ROC) curves and calibration plots from the validation dataset. Key predictors were identified using SHapley Additive exPlanations.ResultsThe study included 101 011 hospitalisations in the development dataset and 17 565 in the validation dataset. The rates of 30-day readmission and death were 29.1% and 4.3%, respectively. AmoXGBoost outperformed other models, achieving an area under the ROC curve of 0.721 (95% CI, 0.713–0.729) for readmission and 0.809 (95% CI, 0.794–0.824) for death, both exceeding the corresponding values for the LACE index (0.651 and 0.641). All machine learning models demonstrated good calibration. The number of hospitalisations in the previous year and the lowest haemoglobin level during the index hospitalisation were the top predictors of readmission and death, respectively.ConclusionsApplying machine learning techniques to large-scale data effectively improves the prediction of early readmission and death following ECOPD hospitalisation. Identifying critical prognostic factors could enhance targeted post-discharge care for this high-risk patient group.

Effects of the Strong Hearts program at two years post program completion.

This is a follow-up to the original published article, Effects of the Strong Hearts Program after a Major Cardiovascular Event in Patients with Cardiovascular Disease. This study evaluated the long-term efficacy of the Strong Hearts program up to 2 years after program completion. All study participants who initially completed the Strong Hearts program between 2020 and 2021 (n=128) were contacted at 12months and 24months following the date of program completion. A phone survey was conducted to see if any significant post-cardiovascular events or readmissions to the hospital occurred, and self-reported dates of any occurrences were recorded. Hospital readmissions and cardiac-related procedures were cross-referenced with the hospital's electronic medical record. A chi-square goodness-of-fit analysis was utilized to compare the observed rates of categorical outcomes vs. expected rates yielded from the empirical literature. The rate of all-cause readmission at 6months post-program completion was 2/120 (1.7 %), compared to the expected rate of 50 %, χ2(1) = 112.13, p<0.001. The readmission rate at 1 year post-program completion was 17/120 (14.2 %), vs. the expected rate of 45 %, χ2(1) = 46.09, p<0.001, and at 2 years post-program completion, the readmission rate was 24/120 (20.0 %) compared to the expected rate of 53.8 %, χ2(1) = 56.43, p<0.001. Ten participants (8.3 %) had a subsequent cardiac procedure within 2 years of completing the program, including two requiring percutaneous coronary intervention (1.7 %) and eight requiring coronary artery bypass grafting (CABG, 6.7 %), compared to the expected rates of 13.4 and 57.74 %, χ2(1)=153.08, p<0.001, respectively. Mortality at 2 years post-program completion was 2/128 (1.6 %), compared to 23.4 %, χ2(1)=34.13, p<0.001. Efficacy of the Strong Hearts program continued at 6months, 1 year, and 2 years post-program completion in terms of all-cause readmission, subsequent cardiac event, and all-cause mortality.

Outcomes of Balloon-Expandable Transcatheter Aortic Valve Replacement in Younger Patients in the Low-Risk Era

Guidelines advise heart team assessment for all patients with aortic stenosis, with surgical aortic valve replacement recommended for patients younger than 65 years or with a life expectancy greater than 20 years. If bioprosthetic valves are selected, repeat procedures may be needed given limited durability of tissue valves; however, younger patients with aortic stenosis may have major comorbidities that can limit life expectancy, impacting decision-making. To characterize patients younger than 65 years who received transcatheter aortic valve replacement (TAVR) and compare their outcomes with patients aged 65 to 80 years. This retrospective registry-based analysis used data on 139 695 patients from the Society for Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy (TVT) Registry, inclusive of patients 80 years and younger undergoing TAVR from August 2019 to September 2023. Balloon-expandable valve (BEV) TAVR with the SAPIEN family of devices. Comorbidities (heart failure, coronary artery disease, dialysis, and others) and outcomes (death, stroke, and hospital readmission) of patients younger than 65 years compared to patients aged 65 to 80 years. In the years surveyed, 13 849 registry patients (5.7%) were younger than 65 years, 125 846 (52.1%) were aged 65 to 80 years, and 101 725 (42.1%) were 80 years and older. Among those younger than 65, the mean (SD) age was 59.7 (4.8) years, and 9068 of 13 849 patients (65.5%) were male. Among those aged 65 to 80 years, the mean (SD) age was 74.1 (4.2) years, and 77 817 of 125 843 patients (61.8%) were male. Those younger than 65 years were more likely to have a bicuspid aortic valve than those aged 65 to 80 years (3472/13 755 [25.2%] vs 9552/125 001 [7.6%], respectively; P < .001). They were more likely to have congestive heart failure, chronic lung disease, diabetes, immunocompromise, and end stage kidney disease receiving dialysis. Patients younger than 65 years had worse baseline quality of life (mean [SD] Kansas City Cardiomyopathy Questionnaire score, 47.7 [26.3] vs 52.9 [25.8], respectively; P < .001) and mean (SD) gait speed (5-meter walk test, 6.6 [5.8] seconds vs 7.0 [4.9] seconds, respectively; P < .001) than those aged 65 to 80 years. At 1 year, patients younger than 65 years had significantly higher readmission rates (2740 [28.2%] vs 23 178 [26.1%]; P < .001) and all-cause mortality (908 [9.9%] vs 6877 [8.2%]; P < .001) than older patients. When propensity matched, younger patients still had higher 1-year readmission rates (2732 [28.2%] vs 2589 [26.8%]; P < .03) with similar mortality to their older counterparts (905 [9.9%] vs 827 [10.1%]; P = .55). Among US patients receiving BEV TAVR for severe aortic stenosis in the low-surgical risk era, those younger than 65 years represent a small subset. Patients younger than 65 years had a high burden of comorbidities and incurred higher rates of death and readmission at 1 year compared to their older counterparts. These observations suggest that heart team decision-making regarding TAVR for most patients in this age group is clinically valid.

Giant Hiatal Hernia and P4HB Phasix TMST Mesh Hiatoplasty Outcomes

Surgical repair of giant hiatal hernia (GHH) and associated high recurrence rate defy technological advances in surgical sciences despite better instrumentation and availability of various mesh prostheses. Aim: This study evaluates the safety and efficacy of long-lasting biosynthetic absorbable Poly 4 Hydroxybutyrate Phasix TMST mesh outcomes in patients with GHH undergoing hiatal hernia repair. Methods: We studied a prospectively maintained database of all patients who underwent GHH repair between September 2020 and October 2023. Primary outcome measures were 30-day mortality and postoperative morbidities. Secondary outcome measures were 90-day readmission rates, patient-reported outcomes derived through modified Visick grading and recurrence of hiatus hernia. Results: 44 patients were included in this study. Median follow-up is twenty-four months. There was no mortality at 30 days. 4.5% (n=2) experienced significant complications at 30 days. Median length of stay was 3 days. 81% reported clinical improvement with enhanced Visick grade, and proton-pump inhibitor (PPI) cessation rate was 77.4%. There were no readmissions at 90 days. 9.1% who reported symptom recurrence had anatomical hiatus hernia recurrence. Conclusion: The study showed laparoscopic hiatoplasty with P4B Phasix TMST mesh has low morbidity and recurrence with medium-term follow-up.

Association of postoperative opioid type with mortality and readmission rates: multicentre retrospective cohort study.

Opioid treatment in postoperative pain management is crucial, but the impact of administration practices on outcomes is unclear. The hypothesis was that prescription trends remained stable over recent years, and that no difference in mortality and readmission risks is associated with prescription strategies. Electronic health records of surgical episodes in the Capital and Zealand Regions of Denmark from 2017 to 2021 were analysed. All opioids administered during postoperative admission were converted to oral morphine equivalents (OMEQs) and an average daily dose per patient was calculated. The opioid administered in the highest OMEQ dosages is considered the primary opioid strategy for the surgical case. Administration trends were analysed through linear regression, and Cox regression was used to calculate hazard ratios to assess dominant opioid strategies' association with 90-day mortality and readmission rates while controlling for confounders. A total of 183 317 patients met the inclusion criteria. Prescription trends remained steady during the study period. Multivariable analysis revealed increased readmission risk (HR 1.18, P < 0.001) of tramadol and tapentadol compared to morphine. They exhibited decreased 90-day mortality risk (HR 0.63, P < 0.001). Oxycodone had similar readmission risk (HR 1.009, P = 0.24) but lower 90-day mortality risk (HR 0.68, P < 0.001). Postoperative in-hospital opioid administration remained stable from 2017 to 2021. Tramadol/tapentadol had a higher risk of readmission but lower mortality risk. Oxycodone had comparable readmission but reduced mortality risk. This study provides a framework for future clinical trials assessing this potential impact of opioids in a targeted manner.

Impacts of Hospital Volume and Patient-Hospital Distances on Outcomes of Older Adults Receiving Percutaneous Microaxial Ventricular Assist Devices for Cardiogenic Shock.

Background: Percutaneous microaxial ventricular assist devices (pVAD) have the potential to reduce mortality of patients with cardiogenic shock (CS). However, the association between the distribution of pVAD-performing centers and outcomes of CS has not been explored. Methods: This observational study included Medicare fee-for-service beneficiaries aged 65-99 years treated with pVAD for CS from 2016 to 2020 and examined the associations between patient outcomes and two exposure variables: hospitals' procedure volumes of pVAD and patient-hospital distances (in quintiles [Qn]). We developed Cox proportional hazard regression for 180-day mortality and heart failure (HF) readmission rates and multivariable logistic regression for in-hospital outcomes, adjusting for patient demographics, comorbidities, concomitant treatments, and hospital characteristics, including CS volume, teaching status, and the ability to perform extracorporeal membrane oxygenation. Results: A total of 6,637 patients with CS underwent pVAD at 1,041 hospitals, with the annualized hospital volume ranging widely from 0.3 to 55.6 cases/year. Patients treated at higher-volume centers experienced lower 180-day mortality compared with patients treated at lower-volume centers (Qn1=reference; Qn2: adjusted hazard ratio [aHR], 0.88; 95% confidence interval [CI], 0.79-0.97; Qn3: aHR, 0.88; 95% CI, 0.79-0.98; Qn4: aHR, 0.88; 95% CI, 0.78-0.99; Qn5: aHR, 0.84; 95% CI, 0.74-0.95; p-for-trend, 0.026), while we found no evidence that patient-hospital distances were associated with mortality (Qn1=reference; Qn2: adjusted hazard ratio [aHR], 0.99; 95% confidence interval [CI], 0.89-1.09; Qn3: aHR, 0.94; 95% CI, 0.85-1.04; Qn4: aHR, 1.01; 95% CI, 0.92-1.11; Qn5: aHR, 0.91; 95% CI, 0.82-1.01; p-for-trend, 0.160). We found no evidence that the hospital volume and patient-hospital distances were associated with in-hospital bleeding, intracranial hemorrhage, or renal replacement therapy initiation. Conclusions: Hospital volume was more strongly associated with mortality than patient-hospital distances, suggesting that rational distribution of pVAD-performing centers while ensuring adequate procedure volumes may optimize patient mortality.

Impact of skilled nursing facility quality on Medicare beneficiaries with dementia: Evidence from vacancies.

People living with dementia are less likely to be admitted to high-rated nursing homes than people without dementia, despite their increased care needs. We investigated the effect of admission to nursing homes with higher staffing ratings on adverse outcomes for individuals with and without dementia post-hospitalization. Among Traditional Medicare beneficiaries discharged to nursing homes between 2011 and 2017, we examined the relationship between facility staffing star-ratings and short-term readmission and mortality using an instrumental variables approach to account for selection bias. The instrumental variables were the number of nearby vacant beds in high-rated facilities. Admission to a higher-rated nursing home lowered post-discharge mortality risk at 90 days and reduced 30- and 90-day readmission. Point estimates were larger for people with dementia. Findings underscore the need for enhancing direct care staffing in nursing homes and addressing access disparities, particularly for individuals with dementia who benefit significantly from high-quality care. We assessed how admission to nursing homes with higher staffing ratings impacted outcomes for individuals with and without dementia by exploiting variation in local bed vacancies as a source of quasi-random assignment. For both persons with and without dementia, adjusted short-term mortality and readmission rates were lower among those discharged to nursing homes with higher staffing ratings. Effects were larger for persons with dementia, indicating welfare loss from inequitable access to higher-rated nursing homes. Increasing staffing in nursing homes and reducing disparities for persons with dementia is essential for enhancing both equity and value.

Forecasting Patient Early Readmission from Irish Hospital Discharge Records Using Conventional Machine Learning Models.

Predicting patient readmission is an important task for healthcare risk management, as it can help prevent adverse events, reduce costs, and improve patient outcomes. In this paper, we compare various conventional machine learning models and deep learning models on a multimodal dataset of electronic discharge records from an Irish acute hospital. We evaluate the effectiveness of several widely used machine learning models that leverage patient demographics, historical hospitalization records, and clinical diagnosis codes to forecast future clinical risks. Our work focuses on addressing two key challenges in the medical fields, data imbalance and the variety of data types, in order to boost the performance of machine learning algorithms. Furthermore, we also employ SHapley Additive Explanations (SHAP) value visualization to interpret the model predictions and identify both the key data features and disease codes associated with readmission risks, identifying a specific set of diagnosis codes that are significant predictors of readmission within 30 days. Through extensive benchmarking and the application of a variety of feature engineering techniques, we successfully improved the area under the curve (AUROC) score from 0.628 to 0.7 across our models on the test dataset. We also revealed that specific diagnoses, including cancer, COPD, and certain social factors, are significant predictors of 30-day readmission risk. Conversely, bacterial carrier status appeared to have minimal impact due to lower case frequencies. Our study demonstrates how we effectively utilize routinely collected hospital data to forecast patient readmission through the use of conventional machine learning while applying explainable AI techniques to explore the correlation between data features and patient readmission rate.

IMPACT OF PRE-EXISTING HYPERTENSION ON THE DEVELOPMENT AND OUTCOMES OF PERIPARTUM CARDIOMYOPATHY

An uncommon but dangerous heart ailment known as peripartum cardiomyopathy (PPCM) may develop in the last month of pregnancy or during the first five months after giving birth. It has been shown that pre-existing hypertension is one risk factor that might make PPCM more severe. The purpose of this research is to assess how pre-existing hypertension affects the course, clinical manifestation, and results of PPCM. Objective: To evaluate the impact that pre-existing hypertension has on the clinical course, echocardiographic results, and maternal outcomes in PPCM maternal cases. Methods: At the DHQ Hospital KDA, Kohat, a retrospective cohort study was carried out between September 2023 and August 2024. There were 56 women with PPCM in total; 28 of them had pre-existing hypertension and the other 28 did not. Data on demographics, clinical conditions, and echocardiograms were gathered. The two groups' maternal outcomes—heart failure progression, recovery of left ventricular function, and problems after childbirth—were compared. SPSS version 26 was used for data analysis, and a p-value of less than 0.05 was deemed statistically significant. Results: Comparing women with pre-existing hypertension to the non-hypertensive group, they showed considerably higher rates of heart failure progression (39% against 21%, p = 0.04) and significantly lower left ventricular ejection fraction (LVEF) at diagnosis (30.1% versus 35.5%, p = 0.01). Women with hypertension were more likely to have persistent LVEF impairment (36% vs 18%, p = 0.03). Additionally, the group with hypertension saw higher readmission rates (25% vs 10.7%, p = 0.02). Conclusion: A substantial risk factor for unfavourable outcomes in PPCM, such as reduced heart function and increased rates of postpartum problems, is pre-existing hypertension. Improving PPCM results for hypertensive women requires closer observation and focused care.

Robotic Single Anastomosis Duodenal-ileal Bypass With Sleeve Gastrectomy (SADI-S) for Morbid Obesity: A Systematic Review.

The global obesity epidemic has seen a dramatic increase in prevalence since 1975, posing significant health and economic challenges worldwide. Robotic-assisted single anastomosis duodenal-ileal bypass with sleeve gastrectomy (SADI-S) has emerged as a promising surgical intervention for morbid obesity, offering potential advantages over traditional laparoscopic approaches in terms of precision, safety, and recovery outcomes. This study aimed to evaluate the efficacy and safety of robotic-assisted SADI-S, focusing on perioperative and postoperative outcomes including intraoperative complications, operative time, conversion rates, mortality, length of hospital stay, weight loss, and postoperative complications. A comprehensive literature search was conducted on PubMed, Scopus, and Cochrane Library, adhering to inclusion and exclusion criteria focused on obese adult humans undergoing robotic SADI-S. Seven studies, published between 2015 and 2024, involving 204 patients, were ultimately included for analysis. The analysis revealed a low rate of intraoperative complications (0.49%), no mortality, and varied operative times (138 to 205.7 min). The median hospital stay ranged from 2 to 6.7 days, with minimal readmission rates. Postoperative complications occurred in 6.37% of patients, but no late complications (>30 days) were reported. Notably, significant weight loss outcomes were documented, with mean excess weight loss (EWL) up to 113.74% at 24 months follow-up. Robotic-assisted SADI-S demonstrates a favourable safety profile with promising weight loss outcomes, highlighting its potential as a primary or revisional treatment for morbid obesity. Further research, including randomized controlled trials, is needed to establish its long-term efficacy and cost-effectiveness compared to traditional laparoscopic methods.

Prediction of Hospital Readmission Using the CORE and CORE+ Scores in Persons With COPD.

Identifying persons with COPD at high risk for hospital readmission provides opportunities for efficient and appropriate care to lower readmission risk. This study examined 30-d and 60-d hospital readmission prediction of the COPD-readmission (CORE) score and a newly developed CORE+ score. The relationship between CORE and CORE+ scores and ICU admission, endotracheal intubation, and in-hospital noninvasive ventilation (NIV) use was explored. A retrospective cohort study evaluated participants with spirometry-confirmed COPD from 2 Midwestern academic hospitals. The CORE score variables included eosinophil blood count, FEV1/FVC (<0.70) and FEV1 (≤40% of predicted), triple inhaler therapy, previous hospitalization, and presence of neuromuscular disease. Out-of-hospital NIV use and Charlson comorbidity index were added to compose the CORE+ score. Researchers assessed associations between variables and outcomes with chi-square test or Fisher exact test, compared results of CORE and CORE+ scores with Wilcoxon signed-rank test, assessed each score's 30-d and 60-d readmission predictive power with multiple logistic regression, and evaluated predictive accuracy with AUC of receiver operating characteristic using alpha < 0.05. Of 391 participants, the study found a 22% 30-d, all-cause readmission rate and a 16% 60-d, all-cause readmission rate. CORE+ score had better predictive accuracy than the CORE score for 30-d readmission (area under the curve 0.81 [95% CI 0.76-0.86]; AUC 0.73 [95% CI 0.66-0.79], P < .001) and 60-d readmission (AUC 0.77 [95% CI 0.71-0.83]; AUC 0.75 [95% CI 0.69-0.81], P < .001). Participants who used in-hospital NIV had higher median CORE+ scores (P = < .001). CORE and CORE+ scores demonstrated good to very good predictive accuracy for 30-d and 60-d readmission, respectively. Moreover, this study demonstrated a linear relationship between in-hospital NIV use and CORE+ score.

Comorbidity Patterns in Chronic Obstructive Pulmonary Disease and Their Associations with Service Utilization

Background The prevalence of combinations of comorbidities and their associations with inpatient service utilization and readmission among patients with chronic obstructive pulmonary disease (COPD) have not been extensively examined. To address this gap in knowledge, an observational prospective study was conducted using retrospective data. Aims To identify patterns of comorbidities linked to length of hospital stay, daily expenses, and one-year readmission. Methods The 30 most common comorbidities were identified in patients with secondary diagnoses using the association rule mining (ARM) method. Regression models were used to examine the relationships between combinations of comorbidities and service utilization, with adjustments for covariates. Results The five most prevalent comorbidities were pulmonary heart disease (40.99%), ischemic heart disease (38.97%), heart failure (36.77%), hypertension (34.11%), and respiratory disorders (19.12%). Most combinations of comorbidities identified by ARM showed significant associations with an extended length of stay (>13 days), increased daily expenses (>930 CNY), and reduced readmission rates. Among these combinations, glycoprotein metabolism disorder had the strongest association with prolonged length of stay (adjusted odds ratio [aOR]): 1.89, 95% confidence interval [CI]: 1.82–1.95). Conversely, the combination of other brain diseases and respiratory failure was linked to higher daily expenses (aOR: 11.34, 95% CI: 10.58–12.15), and the presence of pulmonary heart disease was associated with elevated one-year readmission rates (aOR: 1.41, 95% CI: 1.37–1.46). Conclusion Common combinations of comorbidities among inpatients with COPD were identified from an extensive collection of discharge medical records. Furthermore, the associations between comorbidities, inpatient service usage, and readmission rates were determined.

Cholecystectomy with the Hugo™ robotic-assisted surgery system: the first general surgery clinical study in Korea.

The Hugo™ Robotic-Assisted Surgery (RAS) System is an emergent device in the robotic surgery field. This study aims to describe the first general surgery-focused clinical study in Korea using the novel Hugo™ RAS System. This study was a prospective, single-center, single-arm, confirmatory clinical study conducted at Seoul National University Hospital where 20 cholecystectomies were performed. To evaluate the safety and performance of the Hugo™ RAS System the incidence of conversion to laparoscopy or open surgery, major complication (Clavien-Dindo Grade ≥ III) rate, overall complication rate, readmission rate, and reoperation rate were evaluated. All parameters were assessed within 30 days post-procedure. Any device deficiencies encountered during our initial experience and device data such as setup, console, and operative times were also reported. We confirmed that our trial achieved the primary objective with a success rate of at least 95%. This was accomplished with no conversions to other types of surgery due to serious system malfunction and with only one major complication within 24 h post-procedure. The 20 consecutively enrolled patients had a median age and BMI of 58 years old and 23.9 kg/m2, respectively. The major complication rate was 10% (2/20 patients), the overall complication rate was 15% (3/20 patients), the readmission rate was 15% (3/20 patients), and the reoperation rate was 0% (0/20 patients). None of the complications were definitively device related. The median setup, console, and operative times were 16, 17, and 55 min, respectively. The device deficiency rate was 15% (3/20 patients), but all device deficiencies were minor, occurred before the first incision, and did not present a risk to the patient. Based on our initial experience with the Hugo™ RAS System, cholecystectomy is feasible and safe. This trial is registered with ClinicalTrials.gov (NCT05715827).

The relationship between daily blood glucose fluctuation and readmission in patients with acute coronary syndrome

Abstract Background Although the comprehensive diagnos and treatment of patients with acute coronary syndrome(ACS) has been greatly improved,the morbidity and mortality are still high. Previous literature has reported that about 70-75% of patients diagnosed with acute coronary syndrome have abnormal blood glucose metabolism1,and there existed gender differences. At present, most research results showed that elevated blood glucose is related to the prognosis of ACS. However, further intervention studies indicated that simply strengthen the reducement of blood glucose did not improve prognosis of these patients2. Glucose fluctuations, another dimension of blood glucose, reflect acute changes in blood glucose. However, there are few studies on the effect of blood glucose fluctuation on the prognosis of patients with ACS. Purpose This study aimed to explore the relationship between seven daily fluctuations of blood glucose and readmission in ACS patients. Methods In this study, a total of 664 patients admitted to our University from January 1, 2019 to December 31, 2019 were included and their blood glucose was monitored seven times a day during their hospitalization. The coefficient of variation of blood glucose (CV) was calculated from the results of seven daily blood glucose monitoring to represent the daily fluctuation of blood glucose. Univariate and multivariate regression analyses were performed to determine whether CV was an independent risk factor for re-hospitalization. In addition, the area under the curve (AUC) was used to evaluate the predictive efficacy of CV for outcome events. Finally, we performed a subgroup analysis based on gender and diabetes status to assess the association between CV and readmission in each subgroup. Results After a median follow-up of 21 months, the rate of readmission was 38.4%. Unstable angina pectoris (71.4%) and heart failure (16.4%) were the most common reasons for readmission. Patients with greater CV levels typically exhibited lower fasting blood glucose, higher post breakfast blood glucose, and higher admission blood glucose.The readmission rate increased with the increasing blood glucose variability after the cox regression analysis. Moreover, independent of glycated hemoglobin,CV could predict the risk of readmission in patients with ACS.When using 26.66% as the cutoff point of CV, the study population was divided into two groups and showed a significant differentiation for rehospitalization.In subgroup analysis, there was no significant association between seven daily blood glucose fluctuations and readmission in female and non-diabetes mellitus patients with acute coronary syndrome. Conclusions Besides some normal blood glucose index,seven daily fluctuations of blood glucose was associated with readmission in ACS patients. ACS patients who were male and combined with diabetes were more likely to be readmitted if their CV levels were greater.

Exercise intolerance at hospital discharge as a predictor for readmission and mortality after aortic aneurysm repair

Abstract Background As procedures of aortic aneurysm repair have advanced, an increased number of surgeries performed for older patients and those with comorbidities and low activities of daily living. Conversely, since these patients frequently suffer from difficulty returning to their daily activities after the surgery, physical function is considered an important indicator for risk classification and treatment effect evaluation. However, in patients following aortic aneurysm repair, the association between physical performance and clinical outcomes is not thoroughly evaluated. Purpose We aimed to clarify whether physical function at hospital discharge predicted clinical outcomes, including readmission rates and mortality, in patients following aortic aneurysm repair. Methods This was a single-centre cohort study. We included the patients admitted to a tertiary hospital to undergo surgery or endovascular repair for aortic aneurysm and who received cardiovascular rehabilitation during hospitalisation. As patient characteristics during hospitalisation, age, sex, body mass index (BMI), urgent or standby surgery, surgical type (open repair or endovascular), and comorbidities were obtained from medical records. We also reviewed 6-minute walk distance (6MWD) as physical function at hospital discharge, and 6MWD &amp;lt;300 m was defined as exercise intolerance. The primary and secondary endpoints were readmission and death for all causes, respectively. The multivariate Cox regression analysis was used to examine whether exercise tolerance predicted the endpoints. Results The 365 patients were studied for analysis. Exercise intolerance was observed in 107 patients (29.3 %). During the median follow-up period of 2.3 years, readmission and mortality for all causes occurred in 161 (44.1 %) and 39 (10.7 %), respectively. After adjusting for patient characteristics, including age, sex, BMI, urgent or standby surgery, and surgical type, exercise intolerance defined by 6MWD &amp;lt;300 m was significantly associated with higher mortality (adjusted hazard ratio [aHR]: 2.21, 95% confidence interval [CI]: 1.05–4.66, Figure 1-A) and readmission rates (aHR: 1.63, 95% CI: 1.13–2.34, Figure 1-B). Conclusions In patients following aortic aneurysm repair, exercise intolerance at hospital discharge independently predicted readmission and death for all causes. Our findings suggest that physical function after the aortic aneurysm repair is a useful predictor for patient risk classification and an indicator for treatment effect evaluation.

A nurse-led intervention improves quality of life and reduces arrhythmic recurrences in patients undergoing atrial fibrillation ablation. Results of the NURSECAT-AF randomized clinical trial

Abstract Background/Introduction Atrial fibrillation (AF) is a prevalent condition that can lead to a decrease in quality of life and frequent re-hospitalizations. Some data suggest that integrated care nurse-led may blunt these consequences in unselected patients with AF, but not all studies support this. While AF ablation is becoming a cornerstone treatment for symptomatic patients with AF, it is unclear what impact a nurse-led intervention would have on these, quite likely, more receptive patients. Purpose To assess the impact of nurse-led intervention on quality of life among AF patients undergoing ablation. Methods We conducted a single-centre prospective randomised clinical trial to test the effect of an expert nurse-based intervention consisting of an educational programme on AF, support for the patient undergoing cardiac ablation to ensure its success, and management of risk factors associated with this arrhythmia. The control group underwent standard medical follow-up. Patient selection was based on chronological order. Only patients who underwent their first ablation and did not have heart failure were included. The primary endpoint was quality of life at 12 months post-ablation using the Arrhythmia-Specific Scale in Tachycardia and Arrhythmia (ASTA) questionnaire (higher values denote impaired quality of life). Secondary endpoints were AF knowledge and satisfaction at 15 days post-ablation using validated instruments, symptoms using the ASTA questionnaire as well, and readmissions rates, emergency room visits, and AF recurrence rates over a one-year period. Results 116 patients were screened (50 were excluded mostly because were re do). A total of 66 patients were eventually included and randomized (33 per arm; mean age [mean±SD] 63±10 years; 44 men [67%]). At 12 months, quality of life was significantly better in the intervention group than in the control group (4.5 ± 6.1 vs 0.57 ± 2.3, respectively, p=0.001)(Figure). Furthermore, satisfaction levels (17 ± 4.1 vs 12.7 ± 5.4, p&amp;gt;0.001) and disease knowledge (20.5 ± 5.1 vs 15.9 ± 4.5, p&amp;lt;0.001) were higher in the intervention group. Patients in the control group experienced a higher symptom burden during the first year (0.6 ± 1.5 vs 3.8 ± 4.5, p&amp;lt;0.001. Relevant clinical endpoints such as readmissions (3% vs 18.2%, p=0.046), emergency room visits (21.2% vs 57.5%, p=0.021), and arrhythmia recurrences (15.2% vs 45.5%, p=0.02) were all significantly lower in the intervention group. Conclusion(s) Nurse-led integrated care for patients undergoing AF ablation yields substantial improvements in quality of life and symptomatic relief at one year post-procedure. Additionally, it enhances patient knowledge of AF and satisfaction levels, and reduces readmissions, emergency room visits, and arrhythmia recurrences.

Reasons for Hospital Admission in Individuals With Multiple Sclerosis.

Health care utilization is higher in individuals with multiple sclerosis (MS) than in the general population. However, there are limited data on the reasons for their hospital admissions. Our primary objective is to analyze the reasons for the hospitalization of individuals with MS with the goal of identifying preventable causes. We conducted a retrospective analysis of a cohort of adults with a confirmed diagnosis of MS admitted to Duke University Hospital between January 2018 and January 2020. This yielded a cohort of 210 individuals. Data were analyzed using descriptive statistics. The most common reason for admission was urinary tract infection (UTI; 10.3%). The average length of stay was 6.1 days for the individuals with MS vs 5.5 days for the general population. The 30-day readmission rates were 14.9% and 15.5%, respectively. A significant number of admitted patients were not on any disease-modifying therapy (DMT), and no difference in median age was identified between those with a DMT vs those without. Length of stay and readmission rates were similar to those of the general population in this contemporary cohort. Given the prevalence of bladder dysfunction in MS, it is not surprising that a UTI was the most common reason for admission. Actively addressing management of and techniques for bladder dysfunction may decrease the admission rate for individuals with MS. Though we now have more treatment options for MS, many individuals with the highest health care utilization are not on a DMT. Future research is needed to identify the factors that can be addressed to support these patients and reduce preventable hospitalizations.

Cardiovascular disease history as a predictor for adverse outcomes in frail older adults admitted to acute geriatric settings: 12-month outcomes from an Australian frailty registry

Abstract Introduction Frailty is common in older adults with cardiovascular disease (CVD), with prevalence between 25-62% (1). The incidence of CVD increases with age, yet the outcomes of frail older adults with a history of CVD who present to acute geriatric settings, is not well understood. Purpose To report the association of CVD and rehospitalisation and/or mortality at 12 months in a cohort of frail older adults enrolled in an Australian frailty registry. Methods A convenience sample of participants enrolled in the frailty registry, with 12-month follow-up completed. The frailty registry is a prospective cohort study of adults admitted to the rehabilitation and aged care departments at two Australian hospitals. Frailty was assessed using the Clinical Frailty Scale (CFS), a score of 1-4 is ‘non-frail’, 5-6 is ‘mild-moderately frail’ and 7-9 is ‘severely frail’ (2). For this study, ‘CVD’ was defined as having a history of either heart failure, stroke, or atrial fibrillation. The cumulative incidence of first rehospitalisation and/or death during the first 12 months post discharge was estimated using one minus the Kaplan-Meier estimate of the survival function. Association between CVD (history of CVD, and type of CVD condition) and the composite endpoint were analysed. Adjusted Hazard Ratios (HRs) and 95% confidence intervals (CIs) were estimated using multivariable Cox models incorporating variables of interest and potential confounders. Results A total of 592 participants were included, median age was 82 years, 59% (n= 349) were female. The majority were frail with 50% (n= 295) classified as mild-moderately frail and 21% (n= 123) classified as severely frail. Almost half (45%, n= 265) had a history of CVD. The incidence of frailty (CFS score ≥5, mild-severely frail) was higher in those with CVD compared to those without CVD (76% vs 66%). A history of CVD was significantly associated with higher rate of first readmission or death within 12 months, compared to no history of CVD (p=0.017) (Figure 1). Of the three CVD conditions, heart failure was the only independent predictor of the composite endpoint (HR 1.60 [CI 1.14 -2.24], p=0.007). A CFS score of mild-moderately frail (HR 1.51 [CI 1.18 - 1.93, p=0.001) and severely frail were also independent predictors of the composite endpoint (HR 1.83 [CI 1.35- 2.48], p=&amp;lt;0.001) (Table 1). Conclusions A history of CVD has a significant impact on adverse outcomes in frail older adults admitted to acute geriatric settings. Frailty according to the CFS was independently predictive of rehospitalisation and mortality in this cohort. Heart failure was the only independent predictor of the composite endpoint. These findings underscore the importance of identifying and addressing CVD and in the context of frailty, emphasising the need for targeted interventions to improve outcomes in this vulnerable population.Figure 1.Table 1.

Transcatheter vs. surgical aortic valve replacement in patients with aortic stenosis and cardiogenic shock.

Patients with aortic stenosis (AS) and cardiogenic shock (CS) are an extremely high-risk population with a poor prognosis in the absence of definitive therapy. We aimed to compare the outcomes of transcatheter aortic valve replacement (TAVR) with those of surgical aortic valve replacement (SAVR) in patients with AS-CS. We queried the Nationwide Readmission Database (2016-21) to identify patients hospitalized for AS-CS who underwent isolated TAVR or SAVR. In-hospital outcomes of TAVR vs. SAVR were compared using multivariable regression and propensity-matching analyses. Ninety-day readmissions were compared using a Cox proportional hazards regression model. A total of 16 161 patients were hospitalized for AS-CS, of whom 6470 (40.0%) underwent isolated TAVR and 9691 (60.0%) underwent isolated SAVR. From 2016 through 2021, the proportion of TAVR increased from 29.5 to 46.5% and the proportion of SAVR correspondingly decreased in AS-CS (Ptrend < 0.01). After adjustment for baseline characteristics, TAVR was associated with lower odds of stroke [adjusted odds ratio (aOR) 0.63, 95% confidence interval (CI) 0.47-0.84], acute kidney injury (aOR 0.80, 95% CI 0.69-0.93), and major bleeding (aOR 0.54, 95% CI 0.40-0.71) and higher odds of vascular complications (aOR 1.56, 95% CI 1.23-1.97) compared with SAVR. In-hospital mortality, myocardial infarction, permanent pacemaker placement, and 90-day all-cause and heart failure readmissions showed similar rates between TAVR and SAVR. However, hospital length of stay was shorter and total costs and non-home discharges were lower with TAVR than with SAVR. This nationwide observational analysis showed that TAVR is increasingly performed in patients with AS-CS and is associated with similar rates of in-hospital mortality and 90-day readmissions but lower rates of in-hospital complications and resource utilization compared with SAVR.

Readmission and mortality during the first year after an acute stroke: A prospective cohort study from Cameroon.

Hospital readmission after discharge for stroke is associated with high morbidity and mortality. There is a paucity of data on the burden of stroke readmission in most sub-Saharan African countries. We aimed to determine the rate, reasons and predictors of hospital readmission and the mortality rate within 12 months of discharge among stroke survivors in Cameroon. This prospective cohort included patients who survived hospitalization for an acute stroke and who were discharged from two referral hospitals in the capital city of Cameroon between January 2013 and December 2013.We performed logistic regression analysis to identify demographic and clinical factors associated with readmission within 1 year of discharge and causes of readmission. Of the 254 consecutive patients admitted for acute stroke, 198 were discharged alive. There were 107 (54%) males, and their mean age (SD) was 61.7 (13.9) years (range: 10 to 95 years). A total of 30 (15.2%) patients were readmitted following discharge from the index admission over a mean follow-up time of 286.9 (127.6) days. Of these, 14 (46.7%) were discharged and 16 (53.3%) died after readmission. Thirty percent (30%) of readmissions occurred within the first month. The most frequent causes of readmissions were infections (30%) and recurrent stroke (26.7%). Factors associated with readmission in bivariate analysis were initial admission temperature > 37.5°C (risk ratio [RR]: 1.3, p = 0.021) and initial admission Glasgow Coma Score < 14 (RR: p = 1.23, p = 0.019). After stratified adjustment for age and sex, temperature > 37.5°C (adjusted RR: 1.3, 95% CI: 1-1.7, p = 0.036) and GCS <14 (adjusted RR: 1.23, 95% CI: 1-1.6, p = 0.041) were associated with readmission. Readmission after discharge for stroke was common with nearly one third occurring within the first month and more than half dying following readmission. The most common causes of readmission were infections and recurrent stroke.