Hospital Readmission Research Articles

Cardiac Surgical Unit-Advanced Life Support–certified centers are associated with improved failure to rescue after cardiac arrest: A propensity score–matched analysis

ObjectiveThe impact of Cardiac Surgical Unit-Advanced Life Support (CSU-ALS) training on failure to rescue after cardiac arrest (FTR-CA) is unknown. We hypothesized that institutional CSU-ALS certification would be associated with lower FTR-CA. MethodsPatients undergoing Society of Thoracic Surgeons index operations from 2020 to 2023 from a regional collaborative were analyzed. Each institution was surveyed regarding its status as a CSU-ALS–certified center. Patients stratified by CSU-ALS certification were 1:1 propensity score matched with subsequent multivariable model reviewing associations with FTR-CA. ResultsA total of 12,209 patients were included in the study period across 15 institutions. Eight centers reported CSU-ALS certification. After propensity score matching, 2 patient cohorts were formed (n = 3557). Patients at CSU-ALS centers had greater rates of intensive care unit readmission (3.9% vs 2.3%, P < .01) and total operating room time (340 minutes vs 323 minutes, P < .01). Hospital readmission was less likely in the CSU-ALS centers (9.0% vs 10.1%, P < .01). There was no difference in the rate of postoperative cardiac arrest (1.8% vs 2.2%, P = .24) or operative mortality (2.5% vs 2.9%, P = .30). After risk adjustment, CSU-ALS centers (odds ratio, 0.30; 95% confidence interval, 0.12-0.72, P < .01) and greater-volume centers (odds ratio, 0.15; confidence interval, 0.03-0.74, P = .02) had reduced odds of FTR-CA. ConclusionsCenters with CSU-ALS certification are associated with a lower risk-adjusted likelihood of FTR-CA. This highlights the importance of well-trained staff and treatment algorithms in the care of patients postcardiac surgery.

Nurse-Led Care at Home Visit Versus Standard Care in Patients with Mild Acute Pancreatitis: A Retrospective Analysis.

Frequent hospitalization and the costs of hospitalization are the main burdens in China for patients with acute pancreatitis. Most admitted patients have mild disease conditions that do not require hospitalization. Here, we compare some health and economic aspects of patients with mild acute pancreatitis who received nurse-led care at home visits against those who were hospitalized on follow-up. Patients discharged from the hospital after treatment for mild acute pancreatitis received (NC cohort, n = 104) or did not receive (HN cohort, n = 141) regular home visits by nurses for treatment and care. Patients were rehospitalized by caregivers with or without help of nurse. Hospital readmission events occurred in both cohorts at a follow-up care time of 2months. Compared with the time of discharge from the hospital, unwanted effects were higher in follow-up care in all patients (p < 0.001 for all). Patients in the NC cohort had less time to resolution of pain, less time to resumption of oral solid food intake, smaller number of patients with hospital readmissions, less average time of hospitalization, lower cost of care, and lower occurrence of unwanted effects than those of patients in the HN cohort during 2months of follow-up care (p < 0.05 for all). Patients with mild acute pancreatitis who undergo treatment require nurse-led nontreatment intervention(s) for rehabilitation in follow-up. Nurse-led follow-up care at-home visits increase recovery, are beneficial and cost-effective, and decrease unwanted adverse effects in patients receiving treatment for mild acute pancreatitis. IV. Stage 5.

Utility of Machine Learning, Natural Language Processing, and Artificial Intelligence in Predicting Hospital Readmissions After Orthopaedic Surgery: A Systematic Review and Meta-Analysis.

Numerous applications and strategies have been utilized to help assess the trends and patterns of readmissions after orthopaedic surgery in an attempt to extrapolate possible risk factors and causative agents. The aim of this work is to systematically summarize the available literature on the extent to which natural language processing, machine learning, and artificial intelligence (AI) can help improve the predictability of hospital readmissions after orthopaedic and spine surgeries. This is a systematic review and meta-analysis. PubMed, Embase and Google Scholar were searched, up until August 30, 2023, for studies that explore the use of AI, natural language processing, and machine learning tools for the prediction of readmission rates after orthopedic procedures. Data regarding surgery type, patient population, readmission outcomes, advanced models utilized, comparison methods, predictor sets, the inclusion of perioperative predictors, validation method, size of training and testing sample, accuracy, and receiver operating characteristics (C-statistic), among other factors, were extracted and assessed. A total of 26 studies were included in our final dataset. The overall summary C-statistic showed a mean of 0.71 across all models, indicating a reasonable level of predictiveness. A total of 15 articles (57%) were attributed to the spine, making it the most commonly explored orthopaedic field in our study. When comparing accuracy of prediction models between different fields, models predicting readmissions after hip/knee arthroplasty procedures had a higher prediction accuracy (mean C-statistic = 0.79) than spine (mean C-statistic = 0.7) and shoulder (mean C-statistic = 0.67). In addition, models that used single institution data, and those that included intraoperative and/or postoperative outcomes, had a higher mean C-statistic than those utilizing other data sources, and that include only preoperative predictors. According to the Prediction model Risk of Bias Assessment Tool, the majority of the articles in our study had a high risk of bias. AI tools perform reasonably well in predicting readmissions after orthopaedic procedures. Future work should focus on standardizing study methodologies and designs, and improving the data analysis process, in an attempt to produce more reliable and tangible results. Level III. See Instructions for Authors for a complete description of levels of evidence.

Severity and outcome of a first episode of idiopathic acute pancreatitis is not more severe than pancreatitis of other etiologies

BackgroundWith respect to severity and outcome of an index episode of idiopathic acute pancreatitis the current literature reports conflicting retrospective results. One reason might be the retrospective study design precluding in depth analysis resulting in mixed etiologies and combination of index episode versus recurrent idiopathic acute pancreatitis. MethodsIn this retrospective monocentric cohort study, we retrieved all patients with a first acute pancreatitis episode treated between 2005 and 2021 at the LMU University Hospital from our clinical information system based on the respective ICD-10 codes. In an initial sample of 1390 presumed idiopathic pancreatitis patients we identified 68 confirmed idiopathic acute pancreatitis patients and compared those to 75 first-time alcohol-induced acute pancreatitis patients and 390 first-time biliary-induced acute pancreatitis patients. Clinical outcome (severity, SIRS, mortality, and re-admission rate) was set as outcome measures. Multinomial logistic regression analysis was performed. ResultsIn alcohol-induced acute pancreatitis moderate and severe courses occur significantly more often when compared to idiopathic acute pancreatitis (17.33 % vs. 10.29 %; multinomial logistic regression p = 0.0021). There were no significant differences in mortality between first-time alcoholic, idiopathic and biliary pancreatitis (p = 0.6328). Patients with idiopathic acute pancreatitis had significantly more hospital readmissions (within 30 days) compared to alcohol-induced pancreatitis patients (p = 0.0284). ConclusionIn the context of a first episode of acute pancreatitis, idiopathic acute pancreatitis remains a challenging diagnosis posing an increased risk of recurrence, but not an increased risk for a more severe disease course.

Impact of pharmacist-led transitions of care model on length of hospital stay and 30-day readmission rates at a quaternary care hospital: A pilot study

BackgroundData about the impact of pharmacist-led transitions of care (TOC) approach are not well established. ObjectivesThe objective of this pilot study was to evaluate the impact of pharmacist-led TOC enhanced workflow on the length of hospital stay (LOS) and the 30-day hospital readmission rates (HRRs). MethodsThis is a quality improvement pilot project conducted at a quaternary care hospital in the United Arab Emirates over 6 weeks on a medical floor and 4 weeks on a cardiac floor. TOC was defined as admission medication reconciliation (AMR) and discharge medication reconciliation (DMR). ResultsThe median LOS was statistically significantly lower in patients who received AMR on the medical floor (4 days [3-8]) than those who did not (7 days [4-20]) (P < 0.001). The median LOS on the cardiac floor was not statistically significantly affected—3 (1.75-8) versus 3 (1-8) (P = 0.736). However, the multivariate linear regression model, adjusting for the number of interventions, indicated that LOS was statistically significantly lower on both floors; AMR was an independent risk factor for reducing the LOS on the medical floor (B = −8.37 [95 CI −11.37 to −5.36], P = .001) and on the cardiac floor (B = −2.76 [95% CI −5.23 to −0.28], P = 0.029). The 30-day HRR was not different on the medical floor but was numerically lower on the cardiac floor in patients who received DMR alone (12.9%) than in those who did not (17.2%) (P = 0.476). However, the multivariate logistic regression analysis, adjusting for number of interventions, indicated that the pharmacist-led AMR and DMR combined were numerically associated with lower rates of 30-day HRR with respective odds ratios of 0.64 (95% CI 0.3–1.38) and 0.83 (95% CI 0.4–1.9) (P = 0.83) on the medical floor and of 0.96 (95% CI 0.3–2.6) and 0.7 (95% CI 0.3–1.8) (P = 0.28) on the cardiac floor. In addition, the impact of the described pharmacist-led TOC approach on health care costs at the hospital was quantifiable and reflected a median medications utilization cost of $1142.95 (639.69-2444.88) when TOC is performed versus $1371.54 (402.92-4277.39) without TOC (P < 0.001) on the medical floor and of $4728.98 (2436.66-6846.34) versus $5252.79 (3907.63-7784.57) (P < 0.001) on the cardiac floor throughout the study time period. ConclusionPharmacist-led TOC interventions, specifically AMR, significantly reduced the LOS on the medical and the cardiac floors, whereas both AMR and DMR represented promising predictors of decreased 30-day HRR on the studied floors. Furthermore, the TOC interventions were generally associated with a statistically significant financial impact on both studied floors.

How adoption of new pharmaceuticals can impact US health system reimbursement under alternative payment models: An economic model measuring the impact of sotagliflozin among patients with heart failure and diabetes.

Heart failure (HF) is among the leading causes of death in the United States. Further, patients hospitalized because of HF with comorbid diabetes mellitus (DM) are at a significantly increased risk of death and rehospitalization. Results from the SOLOIST-WHF trial show that sotagliflozin lowered rates of readmission among hospitalized patients with HF and comorbid DM. However, it is unclear what the economic impact of the use of sotagliflozin would be on hospitals and health systems, particularly in an age where provider reimbursement is increasingly tied to value. To quantify the 1-year financial impact on US provider health systems of adopting sotagliflozin relative to standard of care (SoC) across different alternative payment models. This study created a 3-part decision tree model to quantify the financial impact of using sotagliflozin to treat patients hospitalized with HF in a US hospital setting. The model first estimated the clinical and economic outcomes of health systems with current SoC (no sotagliflozin) to treat US patients hospitalized for HF with comorbid DM. Then, using the results from the SOLOIST trial, the changes in clinical and economic outcomes with sotagliflozin adoption were modeled. Finally, the differences in health care utilization between sotagliflozin and SoC arms were translated to differences in health system reimbursement in the context of 3 common alternative payment models (APMs) in addition to the baseline fee-for-service (FFS) model: FFS with the Hospital Readmissions Reduction Program, the Bundled Payments for Care Improvement-Advanced program, and Accountable Care Organizations. A typical community hospital would have 83.4 patients per year on average with an index HF hospitalization with comorbid DM. The model predicted that sotagliflozin would reduce the probability of hospitalization, emergency department visits, and deaths by 29.3%, 38.5%, and 17.8%, respectively, compared with SoC. For hospitals not participating in APM programs, sotagliflozin resulted in a net loss of $92.94 per person ($7,754 per health system). Conversely, when accounting for provider health system participation in APMs, sotagliflozin adoption increased financial returns by $4,720 per person ($305,604 per health system) under the Hospital Readmissions Reduction Program, $1,200 per person ($100,106 per health system) for the Bundled Payments for Care Improvement-Advanced program, and $1,078 per person ($31,029 per health system) for Accountable Care Organizations. Based on the national average composition of APM reimbursement, sotagliflozin adoption resulted in a $1,576 increase in margin per patient with HF ($105,454 per health system). Although sotagliflozin adoption reduced health system revenue in an FFS payment model, it led to a net positive financial impact after accounting for APM bonus payments.

Mais Complicações em Mulheres após Revascularização do Miocárdio Mesmo com Tempos Cirúrgicos Reduzidos: Atenção por Equidade e Melhoria da Qualidade

Abstract Background Analyses of extensive registries indicate adverse outcomes for women undergoing coronary artery bypass grafting (CABG) surgery, while randomized studies often lack representativeness. Objective To compare adjusted hospital outcomes between men and women undergoing CABG. Methods From July 2017 to June 2019, 3991 patients underwent primary isolated CABG, both electively and urgently, in 5 hospitals in the state of São Paulo, Brazil. To mitigate demographic differences between men and women, populations were adjusted using propensity score matching (PSM). The outcomes considered for analysis were those used by the STS Adult Database. The analyses were performed using R software, with a significance set at p&lt;0.05. Results After PSM (1:1), each group included 1089 patients. Regarding intraoperative variables, men exhibited longer cardiopulmonary bypass (CPB) time (p&lt;0.001), surgical time (p&lt;0.001), a higher number of distal anastomoses (p&lt;0.001), and increased use of arterial grafts. Regarding outcomes, women had a higher incidence of deep sternal wound infection (p=0.006), prolonged Intensive Care Unit stay (p=0.002), increased need for an intra-aortic balloon pump (p=0.04), higher blood transfusion rates (p&lt;0.001), higher 30-day hospital readmission rates after surgery (p=0.002) and higher mortality rate (p=0.03). Conclusions Although men had longer CPB times, a greater number of arterial grafts, and a greater number of distal anastomoses, immediate results after CABG were poorer in women.

Early stoppage of empirical antibiotic therapy at clinical improvement in paediatric leukaemia patients with high-risk febrile neutropenia (ESAT-HR-FN study): Study protocol of a single centre investigator initiated randomised open label non-inferiority trial

Background and rationaleFebrile neutropenia (FN) is one of the major causes of early mortality among children undergoing induction chemotherapy for haematological malignancies. FN occurs in up to 80 % of the children undergoing intensive chemotherapy and FN specific mortality is as high as 10 %. The management of high-risk FN (HR-FN) is by early initiation of broad-spectrum empirical antibiotic therapy (EAT) which is continued till blood count recovery. Adverse effects of prolonged EAT among children without proven infective focus have questioned the rationale behind the duration of EAT. The non inferiority of early stoppage of EAT in patients with low-risk FN (LR-FN) when afebrile for 48 h, irrespective of marrow recovery, is proven among adults and children. However, there is paucity of data regarding the same in children with HR-FN. This study aims to determine whether early discontinuation of EAT in children with HR-FN without proven infective focus who become afebrile and awaiting marrow recovery, would reduce antibiotic duration and their adverse effects without any negative consequences for patients. ObjectiveTo compare the rates of recurrent fever in paediatric patients (2–18 years) with HR-FN when EAT is continued till marrow recovery (control group) versus when stopped early at defervescence irrespective of marrow recovery (study group). MethodologyThis is the study protocol of a phase 3, single centre, randomized, open label, non-inferiority clinical trial. The primary outcome is the rate of fever recurrence among patients with HR-FN, when EAT is stopped early irrespective of marrow recovery (study group) and will be compared to the rate of fever recurrence on continuation of EAT till marrow recovery which is defined as an absolute neutrophil count (ANC) ≥ 500/mm3 (control group). Secondary outcomes include the comparison of duration of antibiotic use, mortality rates, hospital re-admission rates, requirement of multiple broad-spectrum antibiotics, therapeutic anti-fungal usage and need for organ support between the study and the control groups. A total of 280 children with acute leukaemia undergoing EAT for grade 3 or severe FN (ANC <500/μL) without clinico-laboratory evidence of infective foci are being randomized in the ratio of 1:1 between the study and the control group after defervescence for 48 h. The patients will be followed up for primary outcome (fever recurrence) till the end of induction period (day 35) or recovery of ANC ≥500/mm3 whichever is earlier. Expected outcomeESAT-HR FN study is the first large phase 3 randomised study to assess the impact of early stoppage of EAT irrespective of marrow recovery among a homogenous paediatric cohort of HR-FN in the setting of induction chemotherapy for acute leukaemia. This study will be seminal in addressing the duration of EAT in HR-FN among children without infective foci and if proven to be non-inferior this strategy will help to reduce the adverse effects from prolonged antibiotic use, the emergence of drug resistance, decrease hospital stay length and overall health care costs.

Influencing Perception of Frailty Risk in Urban &amp; Rural Older Adults

Abstract Date Presented 03/23/24 Frailty affects rates of hospital readmission, transition to assisted care, decreased life satisfaction, and decreased life span. Participation in an OT frailty risk reduction program can influence perception of frailty for rural and urban older adults. Primary Author and Speaker: Susan B. Blair

Readmissions at 30 Days and 1 Year for Implant-Associated Complications Following Primary Total Hip and Knee Arthroplasty: A Population-Based Study of 34,392 Patients Across Austria

BackgroundThe primary aim of this study was to assess 30-day and 1-year rates for unplanned readmission due to implant-associated complications following total hip (THA) or total knee arthroplasty (TKA) in Austria. Secondary endpoints were reasons for readmission and differences in revision risk depending on demographics and hospital size. MethodsData on patients receiving THA (n = 18,508) or TKA (n = 15,884) in orthopaedic and trauma units across Austria within a 1-year period (January 2021 to December 2021) were retrieved from a government-maintained database. The absolute and relative frequencies of unplanned readmissions were calculated. Risk factors for 30-day and 1-year readmission following THA or TKA due to implant-associated complications were investigated. ResultsThe 30-day and 1-year readmission rates for any implant-associated complication were 1.0% (339 of 34,392) and 3.0% (1,024 of 34,392), respectively. Relative to the overall readmission rate for any complication at 30 days (n = 1,952) and 1 year (n = 12,109), readmission rates for implant-associated complications were 17.4 and 8.5%, respectively. The 30-day readmission rates were higher in THA (1.2%) than TKA patients (0.8%; P = 0.001), while it was the opposite at 1 year (THA, 2.7%; TKA, 3.3%; P < 0.001). Mechanical complications (554 of 1,024) were the most common reason for 1-year readmission. Prolonged length of in-hospital stay independently associated with increased 1-year readmission risk in THA and TKA patients. Treatment at large-sized hospitals was associated with a higher 1-year readmission risk in TKA patients. ConclusionsThe 30-day and 1-year readmission rates for implant-associated complications following THA or TKA in Austria are lower than reported in other countries, with similar risk factors and reasons for readmission. Considering that almost 20% of unplanned hospital readmissions following total joint arthroplasty are attributable to implant-associated complications, optimization of in-hospital and postdischarge medical care for these patients is warranted.

Frailty Is More Predictive of Mortality than Age in Patients With Hip Fractures.

To investigate the association between the Comprehensive Geriatric Assessment-based Frailty Index and adverse outcomes in older adult patients undergoing hip fracture surgery. Retrospective cohort study. Academic Level 1 Trauma Center. All patients aged 65 or older who underwent surgical repair of a hip fracture between May 2018 and August 2020 were identified through institutional database review. Data including demographics, FI, injury presentation, and hospital course were collected. Patients were grouped by FI as nonfrail (FI < 0.21), frail (0.21 ≤ FI < 0.45), and severely frail (FI > 0.45). Adverse outcomes of these groups were compared using Kaplan Meier survival analysis. Risk factors for 1-year rehospitalization and 2-year mortality were evaluated using Cox hazard regression. Three hundred sixteen patients were included, with 62 nonfrail, 185 frail, and 69 severely frail patients. The total population was on average 83.8 years old, predominantly white (88.0%), and majority female (69.9%) with an average FI of 0.33 (SD: 0.14). The nonfrail cohort was on average 78.8 years old, 93.6% white, and 80.7% female; the frail cohort was on average 84.5 years old, 92.4% white, and 71.9% female; and the severely frail cohort was on average 86.4 years old, 71.0% white, and 55.1% female. Rate of 1-year readmission increased with frailty level, with a rate of 38% in nonfrail patients, 55.6% in frail patients, and 74.2% in severely frail patients (P = 0.001). The same pattern was seen in 2-year mortality rates, with a rate of 2.8% in nonfrail patients, 36.7% in frail patients, and 77.5% in severely frail patients (P < 0.0001). Being classified as frail or severely frail exhibited greater association with mortality within 2 years than age, with hazard ratio of 17.81 for frail patients and 56.81 for severely frail patients compared with 1.19 per 5 years of age. Increased frailty as measured by the Frailty Index is significantly associated with increased 2-year mortality and 1-year hospital readmission rates after hip fracture surgery. Degree of frailty predicts mortality more strongly than age alone. Assessing frailty with the Frailty Index can identify higher-risk surgical candidates, facilitate clinical decision making, and guide discussions about goals of care with family members, surgeons, and geriatricians. Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Design, implementation, and impact of a cirrhosis-specific remote patient monitoring program.

Remote patient monitoring (RPM) is an emerging focus in health care, and specialized programs may reduce medical costs, supplement in-office visits, and improve patient satisfaction. In this study, we describe the development, feasibility, and early outcomes of an RPM program for patients with decompensated cirrhosis. Forty-six patients were offered enrollment at the time of hospital discharge in the cirrhosis RPM program (CiRPM), of which 41 completed at least 30 days of monitoring. Participants were mailed remote monitoring equipment and a tablet to be used for patient-reported outcomes. Alerts were continuously monitored by virtual nursing staff who could perform targeted interventions. A cohort of historical controls (n = 74) was created for comparison using inverse probability of treatment weighting. Patients were enrolled in the program for a mean of 83.9 days, with 28 (68%) completing the full 90-day program. Participants uploaded vital signs and responded to symptom-based questionnaires on 93% of the monitored days. On end-of-program surveys, over 75% of patients expressed satisfaction with the program. Gender, age, and MELD-Na were similar between CiRPM and weighted control groups. The 90-day readmission rate was 34% in CiRPM and 47% in weighted controls. In the CiRPM group, 12% of subjects had 2 or more admissions, compared to 37% in the weighted control group. This study demonstrates the feasibility of a cirrhosis-specific RPM program. Overall, patient satisfaction and utilization of the CiRPM was high. Future studies are needed to confirm the impact of RPM on the reduction of hospital readmissions in decompensated cirrhosis.

Impact of Acute Care OT on Unplanned Hospital Readmission for Patients With Traumatic Brain Injury

Abstract Date Presented 03/21/24 Results indicated that only insurance type was significantly associated with 30-day readmission. Our results inform OTs about which patient factors may contribute to a higher risk of readmission for patients hospitalized with traumatic brain injury (TBI). Primary Author and Speaker: Rayyan Bukhari Contributing Authors: Jessica Edelstein, Jennifer Weaver, Amanda L. Hoffman, Deana Davalos, Julia Sharp, James Graham

More Hospital Complications in Women after Cabg Even for Reduced Surgical Times: Call to Action for Equity in Quality Improvement.

Analyses of extensive registries indicate adverse outcomes for women undergoing coronary artery bypass grafting (CABG) surgery, while randomized studies often lack representativeness. To compare adjusted hospital outcomes between men and women undergoing CABG. From July 2017 to June 2019, 3991 patients underwent primary isolated CABG, both electively and urgently, in 5 hospitals in the state of São Paulo, Brazil. To mitigate demographic differences between men and women, populations were adjusted using propensity score matching (PSM). The outcomes considered for analysis were those used by the STS Adult Database. The analyses were performed using R software, with a significance set at p<0.05. After PSM (1:1), each group included 1089 patients. Regarding intraoperative variables, men exhibited longer cardiopulmonary bypass (CPB) time (p<0.001), surgical time (p<0.001), a higher number of distal anastomoses (p<0.001), and increased use of arterial grafts. Regarding outcomes, women had a higher incidence of deep sternal wound infection (p=0.006), prolonged Intensive Care Unit stay (p=0.002), increased need for an intra-aortic balloon pump (p=0.04), higher blood transfusion rates (p<0.001), higher 30-day hospital readmission rates after surgery (p=0.002) and higher mortality rate (p=0.03). Although men had longer CPB times, a greater number of arterial grafts, and a greater number of distal anastomoses, immediate results after CABG were poorer in women.

Comparing physical therapist clinical specialists to experienced nonspecialists on physical activity education for patients with heart failure: A modified retrospective cohort study.

The purpose of this study was to compare the knowledge and practices of specialist and experienced nonspecialist physical therapists in performing patient education about physical activity with patients with heart failure (HF). Responses on a nationwide anonymous online survey were used to compare specialist and experienced nonspecialist physical therapists on knowledge and frequency of providing physical activity related education to patients hospitalized with acutely decompensated HF. Responses to survey items were scored on 5-point scales ranging from "Strongly agree" to "Strongly disagree" or "Always" to "Never."Mann-Whitney U statistics were used to compare specialist and experienced nonspecialist responses and Wilcoxon signed-ranks tests were used to examine the gap between knowledge and practice. Twenty-seven specialists and 43experienced nonspecialists completed the survey. Both groups were similar in age, and experience treating patients hospitalized with acutely decompensated HF. Both groups "strongly agree" that they had the required knowledge and skills to educate patients with HF on the physical activity topics. However, specialists more often than experienced nonspecialists provided education on topics such as how to monitor vital signs during physical activity ("most of the time" vs. "about half of the time") that promoted patient confidence and safety during exercise. Specialists demonstrated a smaller gap between knowledge and frequency of providing patient education than experienced nonspecialists on three of the four patient education topics. Specialist physical therapists treating patients with HF in the inpatient hospital setting provided patient education on physical activity at a level more closely matching their skills and the clinical practice guideline than did experienced nonspecialists. Physical therapy clinical specialists practicing in the inpatient hospital setting may improve patient outcomes and lower costs to the health care system by improving physical activity adherence and thereby may reduce avoidable hospital readmissions.

Early and late hospital readmissions after percutaneous left atrial appendage closure

Introduction and objectivesPercutaneous left atrial appendage closure (LAAC) has emerged as a nonpharmacological alternative for the prevention of thromboembolic events in patients with nonvalvular atrial fibrillation. However, there are few data on readmissions after LACC. The aim of this study was to determine the rate of early (≤ 30 days) and late (31-365 days) readmission after LAAC, and to assess the predictors and clinical impact of rehospitalization. MethodsThis multicenter study included 1419 consecutive patients who underwent LAAC. The median follow-up was 33 [17-55] months, and follow-up was complete in all but 54 (3.8%) patients. The primary endpoint was readmissions for any cause. Logistic regression and Cox regression analysis were performed to determine the predictors of readmission and its clinical impact. ResultsA total of 257 (18.1%) patients were readmitted within the first year after LAAC (3.2% early, 14.9% late). The most common causes of readmission were bleeding (24.5%) and heart failure (20.6%). A previous gastrointestinal bleeding event was associated with a higher risk of early readmission (OR, 2.65; 95%CI, 1.23-5.71). The factors associated with a higher risk of late readmission were a lower body mass index (HR, 0.96-95%CI, 0.93-0.99), diabetes (HR, 1.38-95%CI, 1.02-1.86), chronic kidney disease (HR, 1.60; 95%CI, 1.21-2.13), and previous heart failure (HR, 1.69; 95%CI, 1.26-2.27). Both early (HR, 2.12-95%CI, 1.22-3.70) and late (HR, 1.75; 95%CI, 1.41-2.17) readmissions were associated with a higher risk of 2-year mortality. ConclusionsReadmissions within the first year after LAAC were common, mainly related to bleeding and heart failure events, and associated with patients’ comorbidity burden. Readmission after LAAC confered a higher risk of mortality during the first 2 years after the procedure.

Impact of Wound Closure Technique on Surgical Site Infection After Lower Extremity Bypass Surgery

Surgical site infections (SSIs) are among the most common complications after lower extremity bypass (LEB). Both patient and hospital-related factors have been associated with SSI after LEB; however, the impact of surgical closure technique on SSI incidence remains unclear. Institutional electronic medical records (EMRs) were retrospectively queried for all LEB procedures performed from 2018 to 2022. Data were collected on patient demographics, medical comorbidities, operative details, wound closure techniques, and postoperative outcomes. Closure techniques included skin staples, absorbable monofilament (Monocryl), nonabsorbable monofilament (Nylon), or left open to heal by secondary intention. Logistic regression analysis was utilized to identify risk factors and calculate adjusted odds ratios (ORs) for postoperative SSI. A total of 517 patients underwent LEB surgery over the study period. SSI was diagnosed in 120 (23.2%) patients over a median follow-up period of 1.5years. The most common SSI locations were groin incision (40.0%), saphenectomy (31.7%), and leg incision (19.2%). The median onset of SSI was 18.5d (interquartile range [IQR] 11-28d) post-LEB surgery. Patients with SSI had higher body mass index (BMI) (28.2 [IQR 24.2-33.5] vs. 26.6 [23.1-31.5] kg/m2, P=0.03) compared with non-SSI patients. Patient age, sex, and medical comorbidities were otherwise similar between groups. There were no differences in closure technique (79.2% vs. 78.1% staples, 18.3% vs. 19.7% Monocryl, 0.8% vs. 1.8% Nylon, 1.7% vs. 0.5% open; P=0.53) in SSI versus non-SSI groups. On multivariate analysis, patient BMI (OR 1.04 per unit, 95% confidence interval [CI] 1.01-1.08, P=0.02), reoperative field (OR 1.81, 95% CI 1.00-3.25, P=0.03), and active smoking (OR 2.72, 95% CI 1.12-6.59, P=0.048) were independently associated with increased SSI incidence. Postoperative SSI resulted in prolonged hospital length of stay (LOS) (7 vs. 6days, P=0.04), unplanned hospital readmission (49.2% vs. 12.3%, P<0.001), and reoperation rates (64.7% vs. 8.1%, P<0.001). Bypass graft infection rates were also higher among patients suffering postoperative SSI (9.2% vs. 0.0%, P<0.001). On subset analysis of patients at increased risk of postoperative SSI, as found on multivariate modeling, there were no differences in closure technique between SSI and no SSI groups. This study provides insights on wound closure techniques and postoperative SSI made available through granular, operative data that are not found in large database analyses. Surgical wound closure technique was not associated with postoperative SSI after LEB surgery, even among patients at increased risk of infection. These data support individualization of wound closure techniques among patients undergoing LEB surgery.

Timing of stroke survivors' hospital readmissions to guide APRNs in primary care.

Timing of stroke survivors' hospital readmissions to guide APRNs in primary care.

Patients with Heart Failure: Internet Use and Mobile Health Perceptions.

Heart failure is a complex clinical syndrome noted on approximately one in eight death certificates in the United States. Vital to reducing complications of heart failure and preventing hospital readmissions is adherence to heart failure self-care routines. Mobile health offers promising opportunities for enhancing self-care behaviors by facilitating tracking and timely reminders. We sought to investigate three characteristics of heart failure patients with respect to their heart failure self-care behaviors: (1) internet use to search for heart failure information; (2) familiarity with mobile health apps and devices; and (3) perceptions of using activity trackers or smartwatches to aid in their heart failure self-care. Forty-nine heart failure patients were asked about their internet and mobile health usage. The structured interview included questions adapted from the Health Information National Trends Survey. Over 50% of the patients had utilized the internet to search for heart failure information in the past 12 months, experience using health-related apps, and thoughts that an activity tracker or smartwatch could help them manage heart failure. Qualitative analysis of the interviews revealed six themes: trust in their physicians, alternatives to mobile health apps, lack of need for mobile health devices, financial barriers to activity tracker and smartwatch ownership, benefits of tracking and reminders, and uncertainty of their potential due to lack of knowledge. Trust in their physicians was a major factor for heart failure patients who reported not searching for health information on the internet. While those who used mobile health technologies found them useful, patients who did not use them were generally unaware of or unknowledgeable about them. Considering patients' preferences for recommendations from their physicians and tendency to search for heart failure information including treatment and management options, patient-provider discussions about mobile health may improve patient knowledge and impact their usage.

Predicting the Risk of Severity and Readmission in Patients with Heart Failure in Indonesia: A Machine Learning Approach.

In Indonesia, the poor prognosis and high hospital readmission rates of patients with heart failure (HF) have yet to receive focused attention. However, machine learning (ML) approaches can help to mitigate these problems. We aimed to determine which ML models best predicted HF severity and hospital readmissions and could be used in a patient self-monitoring mobile application. In a retrospective cohort study, we collected the data of patients admitted with HF to the Siloam Diagram Heart Center in 2020, 2021, and 2022. Data was analyzed using the Orange data mining classification method. ML support algorithms, including artificial neural network (ANN), random forest, gradient boosting, Naïve Bayes, tree-based models, and logistic regression were used to predict HF severity and hospital readmissions. The performance of these models was evaluated using the area under the curve (AUC), accuracy, and F1-scores. Of the 543 patients with HF, 3 (0.56%) were excluded due to death on admission. Hospital readmission occurred in 138 patients (25.6%). Of the six algorithms tested, ANN showed the best performance in predicting both HF severity (AUC = 1.000, accuracy = 0.998, F1-score = 0.998) and readmission for HF (AUC = 0.998, accuracy = 0.975, F1-score = 0.972). Other studies have shown variable results for the best algorithm to predict hospital readmission in patients with HF. The ANN algorithm performed best in predicting HF severity and hospital readmissions and will be integrated into a mobile application for patient self-monitoring to prevent readmissions.