30-day Unplanned Readmission Research Articles

Predicting 30-day unplanned hospital readmission after revision total knee arthroplasty: machine learning model analysis of a national patient cohort.

Revision total knee arthroplasty (TKA) is associated with a higher risk of readmission than primary TKA. Identifying individual patients predisposed to readmission can facilitate proactive optimization and increase care efficiency. This study developed machine learning (ML) models to predict unplanned readmission following revision TKA using a national-scale patient dataset. A total of 17,443 revision TKA cases (2013-2020) were acquired from the ACS NSQIP database. Four ML models (artificial neural networks, random forest, histogram-based gradient boosting, and k-nearest neighbor) were developed on relevant patient variables to predict readmission following revision TKA. The length of stay, operation time, body mass index (BMI), and laboratory test results were the strongest predictors of readmission. Histogram-based gradient boosting was the best performer in distinguishing readmission (AUC: 0.95) and estimating the readmission probability for individual patients (calibration slope: 1.13; calibration intercept: -0.00; Brier score: 0.064). All models produced higher net benefit than the default strategies of treating all or no patients, supporting the clinical utility of the models. ML demonstrated excellent performance for the prediction of readmission following revision TKA. Optimization of important predictors highlighted by our model may decrease preventable hospital readmission following surgery, thereby leading to reduced financial burden and improved patient satisfaction.

Risk Factors for Unexpected Admission Following Lumbar Spine Laminectomy: A National Database Study.

Introduction Laminectomy is one of the most common orthopedic spine surgeries performed in the United States. Compared to other spine operations such as fusions, laminectomies in isolation are of lower morbidity. However, complications may arise that result in readmission to an inpatient healthcare facility.The purpose of this study is to identify the demographics and risk factors associated with unplanned 30-day readmission following a laminectomy. Methods The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for patients who underwent a laminectomy procedure from 2015 to 2019 using CPT code 63030. This query yielded 61,708 cases. Demographic, lifestyle, comorbidity, and peri-operative factors were recorded. Independent samples Student's t-tests, chi-squared, and, where appropriate, Fisher's exact tests were used in univariate analyses to identify demographic, lifestyle, and peri-operative variables related to 30-day readmission following a laminectomy procedure. Multivariate logistic regression modeling was subsequently performed. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated and reported. Results Of the 61,708 patients included in our sample, 2,359 were readmitted within 30 days of surgery, corresponding to a readmission rate of 3.82%. Results of the univariate analysis revealed statistically significant relationships between readmission status and the following patient variables: patient age, sex, BMI, ASA classification, race, bleeding disorder, chronic obstructive pulmonary disease (COPD), diabetes, hypertension, congestive heart failure (CHF), chronic steroid use, total operative time, and tobacco use (p < 0.05). Multivariate logistic regression modeling confirmed that the following patient variables were associated with statistically significantly increased odds of readmission: age greater than 65 (p < 0.05), female sex (p = 0.013), bleeding disorder (p = 0.011), diabetes (p = 0.006), current smoker (p = 0.010), COPD (p < 0.001), steroid use (p = 0.006), ASA Class II or above (p < 0.05), and total operative time (p < 0.001). Conclusion Unplanned 30-day readmission after laminectomy is infrequent. However, increasing age, female sex, steroid use, current smokers, bleeding disorders, diabetes, COPD, CHF, a higher ASA classification, and longer operative times are independent risk factors for readmission following laminectomy.

National outcomes of expedited discharge following esophagectomy for malignancy.

Expedited discharge following esophagectomy is controversial due to concerns for higher readmissions and financial burden. The present study aimed to evaluate the association of expedited discharge with hospitalization costs and unplanned readmissions following esophagectomy for malignant lesions. Adults undergoing elective esophagectomy for cancer were identified in the 2014-2019 Nationwide Readmissions Database. Patients discharged by postoperative day 7 were considered Expedited and others as Routine. Patients who did not survive to discharge or had major perioperative complications were excluded. Multivariable regression models were constructed to assess association of expedited discharge with index hospitalization costs as well as 30- and 90-day non-elective readmissions. Of 9,886 patients who met study criteria, 34.6% comprised the Expedited cohort. After adjustment, female sex (adjusted odds ratio [AOR] 0.71, p = 0.001) and increasing Elixhauser Comorbidity Index (AOR 0.88/point, p<0.001) were associated with lower odds of expedited discharge, while laparoscopic (AOR 1.63, p<0.001, Ref: open) and robotic (AOR 1.67, p = 0.003, Ref: open) approach were linked to greater likelihood. Patients at centers in the highest-tertile of minimally invasive esophagectomy volume had increased odds of expedited discharge (AOR 1.52, p = 0.025, Ref: lowest-tertile). On multivariable analysis, expedited discharge was independently associated with an $8,300 reduction in hospitalization costs. Notably, expedited discharge was associated with similar odds of 30-day (AOR 1.10, p = 0.40) and 90-day (AOR 0.90, p = 0.70) unplanned readmissions. Expedited discharge after esophagectomy was associated with decreased costs and unaltered readmissions. Prospective studies are necessary to robustly evaluate whether expedited discharge is appropriate for select patients undergoing esophagectomy.

Impact of Unplanned Readmission on Patient-Reported Outcomes After Cervical Spine Surgery: A National Study of 13 355 Patients.

Although risk factors for unplanned readmission after cervical spine surgery have been widely reported, less is known about how readmission itself affects patient-reported outcome measures (PROMs). Using the Quality Outcomes Database registry of patients undergoing elective cervical spine surgery, we sought to (1) determine the impact of unplanned readmission on PROMs and (2) compare the effect of specific readmission reasons on PROMs. An observational study was performed using a multi-institution, retrospective registry for patients undergoing cervical spine surgery. The occurrence of 90-day unplanned readmission classified into medical, surgical, pain only, and no readmissions was the exposure variable. Outcome variables included 12-month PROMs of Neck Disability Index (NDI), Numeric Rating Scale (NRS)-neck/arm pain, EuroQol-5D (EQ-5D), and patient dissatisfaction. Multivariable models predicting each PROM were built using readmission reasons controlling for demographics, clinical characteristics, and preoperative PROMs. Data from 13 355 patients undergoing elective cervical spine surgery (82% anterior approach and 18% posterior approach) were analyzed. Unplanned readmission within 90 days of surgery occurred in 3.8% patients, including medical (1.6%), surgical (1.8%), and pain (0.3%). Besides medical reasons, wound infection/dehiscence was the most common reason for unplanned readmission for the total cohort (0.5%), dysphagia in the anterior approach (0.6%), and wound infection/dehiscence in the posterior approach (1.5%). Based on multivariable regression, surgical readmission was significantly associated with worse 12-month NDI, NRS-neck pain, NRS-arm pain, EQ-5D, and higher odds of dissatisfaction. Pain readmissions were associated with worse 12-month NDI and NRS-neck pain scores, and worse dissatisfaction. For specific readmission reasons, pain, surgical site infection/wound dehiscence, hematoma/seroma, revision surgery, deep vein thrombosis, and pulmonary embolism were significantly associated with worsened 12-month PROMs. In patients undergoing elective cervical spine surgery, 90-day unplanned surgical and pain readmissions were associated with worse 12-month PROMs compared with patients with medical readmissions and no readmissions.

Geriatric Distal Femur Fractures Treated with Arthroplasty Are Associated with Lower Mortality but Greater Costs Compared with Open Reduction and Internal Fixation at 30 Days.

Distal femur fractures (DFFs) are common injuries with significant morbidity. Surgical options include open reduction and internal fixation (ORIF) with plates and/or intramedullary devices or a distal femur endoprosthesis (distal femur replacement [DFR]). A paucity of studies exist that compare the two modalities. The present study utilized a 1:2 propensity score match to compare 30-day outcomes of geriatric patients with DFFs who underwent an ORIF or DFR. The National Surgical Quality Improvement Program data from 2008 to 2019 were utilized to identify all patients who sustained a DFF and underwent either ORIF or DFR. This yielded 3,197 patients who underwent an ORIF versus 121 patients who underwent a DFR. A final sample of 363 patients (242 patients with ORIF vs. 121 with DFR) was obtained after a 1:2 propensity score match. Costs were obtained from the National Inpatient Sample database using multiple regression analysis and validated with a 7:3 train-test algorithm. Independent samples t-tests and chi-square analysis were conducted to assess cost and outcome differences, respectively. Patients who received a DFR had higher transfusion rates than ORIF (p = 0.021) and higher mean inpatient hospital costs (p = 0.001). Subgroup analysis for patients 80 years of age or older revealed higher 30-day unplanned readmission (0 vs. 18.2%; p < 0.001) and 30-day mortality (0 vs. 18.2%; p < 0.001) rates for patients undergoing ORIF compared with DFR. The total number of DFR cases needed to prevent one ORIF-related 30-day mortality for DFR for patients 80 years of age was 6 (95% confidence interval: 3.02-19.9). The mean hospital costs associated with preventing one case of death within 30 days from operation by undergoing DFR compared with ORIF was $176,021.39. Our results demonstrate higher rates of transfusion and increased inpatient costs among the DFR cohort compared with ORIF. However, we demonstrate lower rates of mortality for patients 80 years and older who underwent DFR versus ORIF. Future studies randomized controlled trials are necessary to validate the results of this study.

Unplanned 30-day readmission rate after ophthalmological surgery as a quality-of-care indicator.

The 30-day readmission rate provides a standardised quantitative evaluation of some postoperative complications. It is widely used worldwide in many medical and surgical specialities, and the World Health Organization recommends its use for monitoring healthcare system performance. In ophthalmology, its measurement is biased by the frequent and close planned surgery on one eye and then the other, particularly in the case of cataract surgery. This study measures the 30-day unplanned readmission rate in ophthalmology, globally and by surgery subtype, and describes the causes of readmission. All patients readmitted within 30 days of ophthalmic surgery at Nantes University Hospital between January 2017 and December 2020 were identified in the Medical Information System. An ophthalmologist examined each medical record and collected the following data: the reason for readmission, comorbidities, the pathology treated, surgery type, surgery duration, the surgeon's experience, anaesthesia type, severity and readmission morbidity. For the 8522 ophthalmic surgeries performed in the four-year study period, 282 30-day unplanned readmissions were identified. The overall 30-day unplanned readmission rate was 2.07% for elective surgery, with a high variability depending on the surgery type: 0.95% for phacoemulsification, 4.95% for vitreoretinal surgery (3.42% for non-elective vitreoretinal surgery, 5.44% for retinal detachment surgery), 5.66% for deep lamellar keratoplasty and 11.90% for trabeculectomy. The unplanned 30-day readmission rate for ocular trauma surgery (emergency care) was 11.0%. Seven percent of all unplanned 30-day readmissions were not associated with an ophthalmological problem. This study is the first to report 30-day unplanned readmission in ophthalmology, globally and by surgical subtype, for elective and urgent procedures. This indicator can be used longitudinally to detect an increase in risk or transversely to compare the quality of care between different public or private hospitals.

Abstract HUP4: Can A Remote Telehealth-based Program Support Survivors With Varying Social Needs Post-stroke?

Introduction: There are significant and longstanding inequities in stroke prevalence and care as well as outcomes. Social determinants of health (SDOH) are known to be a risk factor in post-stroke recovery. SDOH also put individuals at higher risk for 90-day mortality. Social determinants are a significant contributor to disparities in health and specifically addressing SDOH needs may improve the health and outcomes of stroke survivors. Methods: An app-based, virtual care model was used to impact survivor quality of life and outcomes for stroke survivors and their care partners. As a part of program onboarding, the clinical navigator utilized the CMS Accountable Health Communities Health-Related Social Needs Screening Tool to assess survivor needs in five core domains including housing instability, food insecurity, transportation problems, utility needs, and interpersonal safety. As needs were identified, they were cross-walked to pre-populated community resource maps to aid the survivor in their recovery and support subsequent stroke prevention. Results: Of the (n=50) stroke survivors (median age of 62) that completed the 12-week survivor-led Navigator support program, 35% had one SDOH need, 16% had 2 SDOH needs, 16% had 3 SDOH needs, 3% had 4 SDOH needs and 28% had 5 or more SDOH needs. The most regularly identified areas of social need in the cohort were mental health (20%), financial strain (15.7%), employment (13.6%) and transportation (12.9%). These SDOH were addressed throughout the 90-day program based on individual access considerations. The 30- and 90-day all-cause readmission rates for survivors were 5% and 10%, respectively, superior to recent publications reporting 30-day unplanned readmission rates after stroke ranging from 8.7%-12.5%, and 90-day readmissions ranging from 18.9% to 20.7%. Conclusion: By assessing SDOH and providing specifically tailored post-acute resources to meet those needs, a tech-enabled platform with clinical navigator support can improve outcomes for stroke survivors with a variety of SDOH needs. Additional post-acute stroke care and targeted programming are needed to address the ongoing inequalities in the healthcare system as they relate to post-stroke care and recovery in populations with high SDOH needs.

Abstract NS4: Can a Remote Telehealth-Based Program Support Survivors With Varying Social Needs Post-Stroke?

Introduction: There are significant and longstanding inequities in stroke prevalence and care as well as outcomes. Social determinants of health (SDOH) are known to be a risk factor in post-stroke recovery. SDOH also put individuals at higher risk for 90-day mortality. Social determinants are a significant contributor to disparities in health and specifically addressing SDOH needs may improve the health and outcomes of stroke survivors. Methods: An app-based, virtual care model was used to impact survivor quality of life and outcomes for stroke survivors and their care partners. As a part of program onboarding, the clinical navigator utilized the CMS Accountable Health Communities Health-Related Social Needs Screening Tool to assess survivor needs in five core domains including housing instability, food insecurity, transportation problems, utility needs, and interpersonal safety. As needs were identified, they were cross-walked to pre-populated community resource maps to aid the survivor in their recovery and support subsequent stroke prevention. Results: Of the (n=50) stroke survivors (median age of 62) that completed the 12-week survivor-led Navigator support program, 35% had one SDOH need, 16% had 2 SDOH needs, 16% had 3 SDOH needs, 3% had 4 SDOH needs and 28% had 5 or more SDOH needs. The most regularly identified areas of social need in the cohort were mental health (20%), financial strain (15.7%), employment (13.6%) and transportation (12.9%). These SDOH were addressed throughout the 90-day program based on individual access considerations. The 30- and 90-day all-cause readmission rates for survivors were 5% and 10%, respectively, superior to recent publications reporting 30-day unplanned readmission rates after stroke ranging from 8.7%-12.5%, and 90-day readmissions ranging from 18.9% to 20.7%. Conclusion: By assessing SDOH and providing specifically tailored post-acute resources to meet those needs, a tech-enabled platform with clinical navigator support can improve outcomes for stroke survivors with a variety of SDOH needs. Additional post-acute stroke care and targeted programming are needed to address the ongoing inequalities in the healthcare system as they relate to post-stroke care and recovery in populations with high SDOH needs.

Abstract WP105: Outcomes From the 1st 100 Stroke Survivors Served by a Novel Tech-Enabled Post-Acute Clinical Service

Introduction: This study evaluates the outcomes of a survivor-centric, navigator-driven, technology-enabled platform supporting survivors (SS) and care partners(CP) in post-stroke recovery. At current enrollment rates, the abstract will be updated to include 100 program participants and a propensity-matched analysis of readmission rates vs. a Medicare FFS claims set for appropriately matched subjects. Methods: An app-based, virtual care model was used to impact survivor quality of life and improve outcomes for stroke survivors. This mixed methods study utilizes focus group feedback, survey, app usage and patient-reported outcomes data. Participants (n=50) were facilitated by a clinical navigator (OT or LCSW). Clinicians worked through phone, messaging, and video calls with the SS/CP who had shared access within the app, with separate profiles. The average duration of participation was 12 weeks but tailored to individual needs based on post-stroke impairments, social determinants, health literacy, risk factors and lifestyle management, mental health, and other resource needs. The average participant had 10 Navigator touchpoints totaling 8 hours over the duration of the program. Results: Clinician-assessed mRS scores were captured at 90 days following hospital discharge for 96% of participants. Significant functional improvement was seen, with 84% achieving mRS scores of 0-2 at 90 days, compared to 60% of participants at the time of enrollment. The 30- and 90-day all-cause readmission rates for survivors were 5% and 10%, respectively, superior to recent publications reporting 30-day unplanned readmission rates after stroke ranging from 8.7%-12.5%, and 90-day readmissions ranging from 18.9% to 20.7%. Conclusion: These preliminary outcomes indicate that a tech-enabled healthcare services program can engage and impact the outcomes of individuals and care partners during stroke recovery.

Are Lists of Potentially Inappropriate Medications Associated with Hospital Readmissions? A Systematic Review.

Suboptimal prescribing, including the prescription of potentially inappropriate medications (PIM), is frequent in patients aged 65 years and older. PIMs are associated with adverse drug events, which may lead to hospital admissions and readmissions for the most serious cases. Several tools, known as lists of PIMs, can detect suboptimal prescription. This systematic review aimed to identify which lists of PIMs are associated with hospital readmission of older patients. MEDLINE, the Cochrane Library, EMBASE, and clinicaltrials.gov were searched for the period from 1 January 1991 up to 12 May 2022 to identify original studies assessing the association between PIMs and hospital readmissions or emergency department (ED) revisits within 30 days of discharge in older patients. This study is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 Checklist, and the risk of bias was assessed with the Newcastle-Ottawa Quality Assessment Scale for Cohort Studies (NOS) and the revised Cochrane risk-of-bias tool for randomized trials (RoB 2). A total of six studies presenting four different lists of PIMs were included. Readmission rates varied from 4.3 to 25.5% and the odds ratio (OR) between PIMs and hospital readmission varied from 0.92 [95% confidence interval (CI) 0.59; 1.42] to 6.48 [95% CI 3.00; 14.00]. Only two studies found a statistically significant association between a list of PIMs and hospital readmission. These two studies used different tools: the Screening Tool of Older Person's Prescriptions (STOPP) and the Screening Tool to Alert Doctors to Right Treatment (START) and a combination of Beers Criteria® and STOPP and START. This systematic review shows that the association between list of PIMs and 30-day unplanned readmissions remains unclear and seems dependent on the PIM detection tool. Further studies are needed to clarify this association. PROSPERO registration number CRD42021252107.

Impact of mental disorders on unplanned readmissions for congestive heart failure patients: a population-level study.

Reducing preventable hospitalization for congestive heart failure (CHF) patients is a challenge for health systems worldwide. CHF patients who also have a recent or ongoing mental disorder may have worse health outcomes compared with CHF patients with no mental disorders. This study examined the impact of mental disorders on 28day unplanned readmissions of CHF patients. This retrospective cohort study used population-level linked public and private hospitalization and death data of adults aged ≥18years who had a CHF admission in New South Wales, Australia, between 1 January 2014 and 31 December 2020. Individuals' mental disorder diagnosis and Charlson comorbidity and hospital frailty index scores were derived from admission records. Competing risk and cause-specific risk analyses were conducted to examine the impact of having a mental disorder diagnosis on all-cause hospital readmission. Of the 65861 adults with index CHF admission discharged alive (mean age: 78.6±12.1; 48% female), 19.2% (12675) had at least one unplanned readmission within 28days following discharge. Adults with CHF with a mental disorder diagnosis within 12months had a higher risk of 28day all-cause unplanned readmission [hazard ratio (HR): 1.21, 95% confidence interval (CI): 1.15-1.27, P-value<0.001], particularly those with anxiety disorder (HR: 1.49, 95% CI: 1.35-1.65, P-value<0.001). CHF patients aged ≥85years (HR: 1.19, 95% CI: 1.11-1.28), having ≥3 other comorbidities (HR: 1.35, 95% CI: 1.25-1.46), and having an intermediate (HR: 1.34, 95% CI: 1.28-1.40) or high (HR: 1.37, 95% CI: 1.27-1.47) frailty score on admission had a higher risk of unplanned readmission. CHF patients with a mental disorder who have ≥3 other comorbidities and an intermediate frailty score had the highest probability of unplanned readmission (29.84%, 95% CI: 24.68-35.73%) after considering other patient-level factors and competing events. CHF patients who had a mental disorder diagnosis in the past 12months are more likely to be readmitted compared with those without a mental disorder diagnosis. CHF patients with frailty and a mental disorder have the highest probability of readmission. Addressing mental health care services in CHF patient's discharge plan could potentially assist reduce unplanned readmissions.

Impact of the PCMH model on post-stroke healthcare utilization

The patient-centered medical home (PCMH) model has aimed to enhance chronic care in a primary care setting where providers are expected to provide timely post-discharge follow-up and decrease potentially preventable hospital readmissions through coordinated disease management. The study examined PCMH and other (risk) factors associated with 30-day unplanned readmission as well as 7- and 28-day follow-up visit with primary care providers (PCPs). We identified 8424 New York State Medicaid patients having initial stroke discharges during 2016–2018 from the Medicaid claims database and Statewide Planning and Research Cooperative System. A patient was in the PCMH group if the attributed provider had a valid National Committee for Quality Assurance PCMH recognition upon patient’s discharge. Cox regression and competing risk analyses were used to estimate the hazard ratios of readmissions and follow-up visits between PCMH and non-PCMH groups. The PCMH group had slightly but not statistically significant lower all-cause and recurrent stroke unplanned readmission rates. While the general follow-up rates between the two groups are similar, the PCMH group had significantly higher rates of stroke-specific 7-day (HR = 1.27, P < 0.01) and 28-day follow-up visits (HR = 1.22, P < 0.01). PCPs play an essential role in post stroke care. Our findings show a significantly higher rate of stroke-specific follow-up visits and a trend towards lower readmissions among patients in the PCMH group. The intervals between stroke discharge and follow-up visit time in our study population were generally greater than the recommended timeframe. We recommend the PCMH care model to improve patients’ primary care follow-up and prevent potential readmissions.

Coordinated patient outreach for reduction of unplanned postoperative 30-day readmission

ObjectiveThirty-day readmission rates after surgery are being increasingly used as a quality performance metric. Readmission rates in vascular surgery are frequently reported to be higher than other surgical specialties, and many coordinated efforts have been developed at local and national levels to reduce avoidable readmissions. MethodsWe constructed a multi-pronged readmission reduction quality improvement (QI) initiative aimed at addressing the clinical drivers of readmission after vascular surgery. Proposed interventions were implemented in Plan-Do-Study-Act (PDSA) cycles. Interventions aimed to improve patient communication and included post-discharge phone calls; mandatory follow-up before 2 weeks, with in-person visits required for all groin incisions and ischemic lower extremity wounds; and protocolized distribution of “calling cards,” which contained emergency and routine contact information. The primary outcome measure was 30-day readmission rate. ResultsAfter implementation of a multi-modal QI initiative, there was a statistically significant decrease in the 30-day readmission rate, from 14.1% to 8.2% (P = .02). A slightly higher percentage of readmissions, 57%, occurred within the first 2 weeks of discharge. ConclusionsThe consensus-driven development and implementation of a QI protocol to reduce 30-day readmission, based on increased patient communication and more standardized patient follow-up, showed promising results at our institution. Further efforts to improve readmission should focus on decreasing barriers to patient-provider communication after discharge.

The impact of a multidisciplinary goals-of-care program on unplanned readmission rates at a comprehensive cancer center.

This study examined the 30-day unplanned readmission rate in the medical oncology population before and after the implementation of an institution-wide multicomponent interdisciplinary goals of care (myGOC) program. This retrospective study compared the 30-day unplanned readmission rates in consecutive medical patients during the pre-implementation period (May 1, 2019, to December 31, 2019) and the post-implementation period (May 1, 2020, to December 31, 2020). Secondary outcomes included 7-day unplanned readmission rates, inpatient do-not-resuscitate (DNR) orders, and palliative care consults. We randomly selected a hospitalization encounter for each unique patient during each study period for statistical analysis. A multivariate analysis model was used to examine the association between 30-day unplanned readmission rates and implementation of the myGOC program. There were 7028 and 5982 unique medical patients during the pre- and post-implementation period, respectively. The overall 30-day unplanned readmission rate decreased from 24.0 to 21.3% after implementation of the myGOC program. After adjusting for covariates, the myGOC program implementation remained significantly associated with a reduction in 30-day unplanned readmission rates (OR [95% CI] 0.85 [0.77, 0.95], p = 0.003). Other factors significantly associated with a decreased likelihood of a 30-day unplanned readmission were an inpatient DNR order, advanced care planning documentation, and an emergent admission type. We also observed a significant decrease in 7-day unplanned readmission rates (OR [95% CI] 0.75 [0.64, 0.89]) after implementation of the myGOC program. The 30-day and 7-day unplanned readmission rates decreased in our hospital after implementation of a system-wide multicomponent GOC intervention.

The Early HOSPITAL Score to Predict 30-Day Readmission Soon After Hospitalization: a Prospective Multicenter Study

BackgroundThe simplified HOSPITAL score is an easy-to-use prediction model to identify patients at high risk of 30-day readmission before hospital discharge. An earlier stratification of this risk would allow more preparation time for transitional care interventions.ObjectiveTo assess whether the simplified HOSPITAL score would perform similarly by using hemoglobin and sodium level at the time of admission instead of discharge.DesignProspective national multicentric cohort study.ParticipantsIn total, 934 consecutively discharged medical inpatients from internal general services.Main MeasuresWe measured the composite of the first unplanned readmission or death within 30 days after discharge of index admission and compared the performance of the simplified score with lab at discharge (simplified HOSPITAL score) and lab at admission (early HOSPITAL score) according to their discriminatory power (Area Under the Receiver Operating characteristic Curve (AUROC)) and the Net Reclassification Improvement (NRI).Key ResultsDuring the study period, a total of 3239 patients were screened and 934 included. In total, 122 (13.2%) of them had a 30-day unplanned readmission or death. The simplified and the early versions of the HOSPITAL score both showed very good accuracy (Brier score 0.11, 95%CI 0.10–0.13). Their AUROC were 0.66 (95%CI 0.60–0.71), and 0.66 (95%CI 0.61–0.71), respectively, without a statistical difference (p value 0.79). Compared with the model at discharge, the model with lab at admission showed improvement in classification based on the continuous NRI (0.28; 95%CI 0.08 to 0.48; p value 0.004).ConclusionThe early HOSPITAL score performs, at least similarly, in identifying patients at high risk for 30-day unplanned readmission and allows a readmission risk stratification early during the hospital stay. Therefore, this new version offers a timely preparation of transition care interventions to the patients who may benefit the most.

The Hospitalist-Oncologist co-ManagemEnt (HOME) system improves hospitalization outcomes of patients with cancer

BackgroundThe hospitalist system has been introduced to improve the quality and safety of inpatient care. As its effectiveness has been confirmed in previous studies, the hospitalist system is spreading in various fields. However, few studies have investigated the feasibility and value of hospitalist-led care of patients with cancer in terms of quality and safety measures. This study aimed to evaluate the efficacy of the Hospitalist-Oncologist co-ManagemEnt (HOME) system.MethodsBetween January 1, 2019, and January 31, 2021, we analyzed 591 admissions before and 1068 admissions after the introduction of HOME system on January 1, 2020. We compared the length of stay and the types and frequencies of safety events between the conventional system and the HOME system, retrospectively. We also investigate rapid response system activation, cardiopulmonary resuscitation, unplanned intensive care unit transfer, all-cause in-hospital mortality, and 30-day re-admission or emergency department visits.ResultsThe average length of stay (15.9 days vs. 12.9 days, P < 0.001), frequency of safety events (5.6% vs. 2.8%, P = 0.006), rapid response system activation (7.3% vs. 2.2%, P < 0.001) were significantly reduced after the HOME system introduction. However, there was no statistical difference in frequencies of cardiopulomonary resuscitation and intensive care unit transfer, all-cause in-hospital morality, 30-day unplanned re-admission or emergency department visits.ConclusionsThe study suggests that the HOME system provides higher quality of care and safer environment compared to conventional oncologist-led team-based care, and the efficiency of the medical delivery system could be increased by reducing the hospitalization period without increase in 30-day unplanned re-admission.

Myelofibrosis Is Associated with Poor Cardiovascular Outcomes after Heart Failure Hospitalization

Background: Myeloproliferative neoplasms (MPN), including essential thrombocythemia (ET), polycythemia vera (PV), and myelofibrosis (MF), are at high risk of cardiovascular (CV) disease including heart failure (HF). Prior studies have suggested patients with MPN are at increased risk of HF. Among patients with MPN, those with MF have the most aggressive disease with significantly shortened survival. However, data on CV outcomes among patients with MF are sparse. Therefore, we examined CV outcomes among patients with MPN hospitalized for HF. Methods: This was a retrospective cohort analysis of the National Readmission Database (NRD) of adult patients with a primary diagnosis of HF from 2017 and 2018 with a history of MPN (N = 4632), which were identified using ICD-10 codes. The primary outcome was 90-day unplanned CV-related readmission (readmission for HF, arterial thrombotic event [ATE], or venous thromboembolism [VTE]). Secondary outcomes were index hospitalization death and 90-day any-cause unplanned readmission. Propensity scores (PS) for estimating probability of MF were calculated using non-parsimonious multivariable logistic regression that included all baseline patient characteristics examined. PS weighting (PSW) was utilized to adjust for potential confounders. Patients with MF were compared with patients with ET or PV and standardized mean difference (SMD) was calculated for variables before and after PSW. Imbalances between groups were significant if SMD for a given covariable was ≥ 0.10. Hazard ratios (HR) were estimated for 90-day readmission outcomes using Cox proportional hazards regression and odds ratio (OR) for estimating index hospitalization death were calculated using logistic regression. Results: A total of 3748 patients with ET or PV (2639 ET, 1109 PV) and 884 with MF were included. Prior to PSW, patients with MF were older (mean age 77.7 vs 74.3 years), more likely to have anemia (53.8% vs 47.2%) and less likely to be female (44.9% vs 56.1%), have systolic HF (39.9% vs 46.1%), and cardiogenic shock (1.6% vs 3.4%) compared with ET/PV, Table. After PSW, baseline characteristics were well balanced between groups. After PSW, MF was associated with increased risk of 90-day CV readmission (HR 1.18, 95% CI 1.08 - 1.30), index hospitalization death (OR 1.67, 95% CI 1.38 - 2.01), and 90-day any-cause readmission (HR 1.26, 95% CI 1.17 - 1.35). Additionally, MF was associated with increased risk of 90-day HF readmission (HR 1.24, 95% CI 1.12 - 1.38) but not ATE (HR 0.62, 95% CI 0.47 - 0.81) or VTE-readmission (HR 0.72, 95% CI 0.43 - 1.19), Figure. Conclusions: Patients with MPN admitted with HF have high rates of 90-day CV-related and any-cause readmissions. MF was associated with higher risk of 90-day CV-related, HF, and any-cause readmission compared with patients with ET or PV. Patients with MF had higher risk of index HF hospitalization mortality compared with ET or PV. More investigation is needed in order to identify risk factors for adverse CV outcomes in patients with MPNs with HF, particularly those with MF. Although preventing thrombotic complications and managing CV risk are part of routine care for ET and PV patients, this study highlights the importance of incorporating CV risk management in MF patients.

Hospital Associated Disability Among Older Adults with Plasma Cell Disorders Receiving Autologous Stem Cell Transplant

Background: An increasing number of older adults with Plasma Cell Disorders (PCDs) are receiving autologous stem cell transplant (ASCT) in the US. Hospital associated disability (HAD) is a loss in independence in one or more activities of daily living associated with acute care hospitalization and is a common complication among older adults. The prevalence and prognostic significance of HAD among older adults with PCDs undergoing ASCT is unknown. Methods: This retrospective cohort study used consecutive adults receiving ASCT at a large U.S. comprehensive medical center between 1/2013 and 5/2023. Trained nursing staff assessed Katz Activities of Daily Living (ADL) at admission and every 3 days thereafter under our Virtual Acute Care for Elders program. The primary outcome was development of HAD defined as ≥1 point decline on the Katz ADL scale from hospital admission to discharge. We also examined the association between development of HAD and various predictors including age, Karnofsky Performance Status (KPS), and Hematopoietic Cell Transplantation-Specific Comorbidity Index (HCT-CI) using modified Poisson regression models with robust variance estimators. Using similar models, we studied the impact of HAD on unplanned 30-day readmission rates. Results: Of 870 patients undergoing ASCT during the study period, 778 had at least two Katz ADL assessments and were included. The study population was comprised of 56% Caucasian/white ethnicity and 56% male with a median age of 62y (IQR 55-68y). In the overall population, 112 (14.4%) developed HAD. The incidence of HAD was much higher among adults ≥65y compared to their younger counterparts (22% vs. 9%; p=&amp;lt;0.01). In multivariate analysis, age ≥65y (RR 2.22; 95% CI 1.56-3.15; p=&amp;lt;0.001) and baseline KPS &amp;lt;=70 (RR 1.83; 95% CI 1.15-2.92; p=0.011) was associated with increased risk of developing HAD; HCT-CI scores did not have a significant association with HAD. Those with HAD had a two-fold higher risk of 30-day readmission as compared to those without HAD (RR 2.18; 95% CI 1.20-3.66; p=0.003). Conclusions: Nearly 1 in 4 adults ≥65y developed HAD while undergoing ASCT, which was associated with a two-fold increased risk of 30-day readmission. Interventions to prevent HAD and its downstream consequences are critically needed.

Heart failure drug classes and 30-day unplanned hospital readmission among patients with heart failure in Ethiopia

BackgroundDrug therapy is a crucial aspect of heart failure management and has been shown to reduce morbidity and mortality in heart failure patients. However, the comparative effects of these drug classes on readmission rates have not been well studied. Therefore, the aim of this study was to examine the association between different classes of heart failure drugs and 30-day readmission rates in patients with heart failure.MethodA multicenter, hospital-based retrospective cohort design was employed and 572 randomly selected patients with heart failure were included. Data were entered in Epi-data version 4.6 and analyzed with STATA version 17. Kaplan-Meier and log-rank tests were used to estimate and compare survival time. A Cox proportional hazard model was utilized, employing both bi-variable and multi-variable analyses, to examine the effect of predictors on the timing of unplanned hospital readmissions. The strength of the association was assessed using an adjusted hazard ratio (aHR), and statistical significance was declared for p-values < 0.05 and a 95% confidence interval (CI).ResultsIn this study, a total of 151 (26.40%) heart failure patients were readmitted within 30 days of discharge. In the multivariate cox proportional hazards analysis being an age (> 65 year) (AHR: 2.34, 95%CI: 1.63, 3.37), rural in residency (AHR: 1.85, 95%CI: 1.07, 3.20), hospital stays > 7 Days (AHR: 3.68, 95%CI: 2.51,5.39), discharge with Diuretics (AHR: 2.37, 95%CI: 1.45, 3.86), and discharge with Beta-Blocker (AHR: 0.48, 95%CI: 0 0.34, 0.69) were identified as independent predictors of unplanned hospital readmission.ConclusionElderly patients, being in rural areas, longer hospital stays, and discharges of patients on diuretics and not on beta-blockers were independent predictors of unplanned hospital readmission. Therefore, working on these factors will help to reduce the hazard of unplanned hospital readmissions, improve patient outcomes, and increase the efficiency of heart failure management.

Elevated glycosylated hemoglobin levels are associated with severe acute kidney injury following coronary artery bypass surgery

BackgroundDiabetic patients are at increased risk of acute kidney injury (AKI) following surgery. The significance of uncontrolled diabetes on kidney function after coronary artery bypass grafting (CABG) remains controversial. Our aim was to study the association between pre-operative hemoglobin A1c (HbA1c) and severe cardiac surgery-associated AKI (CSA-AKI) following CABG. MethodsA single-center, retrospective cohort study including patients who underwent isolated CABG from 2010 to 2018 was performed. Patients were grouped into pre-operative HbA1c of <6.5 %, 6.5–8.5 %, and ≥8.5 %. Postoperative serum creatinine levels were queried for up to 30 days, and the 30-day risk of severe AKI was compared among groups. Multivariable logistic regression was used to study factors associated with severe CSA-AKI and the association of severe CSA-AKI with postoperative outcomes. Cox regression was used to study the association between severe CSA-AKI and all-cause mortality from the time of surgery to the last follow-up or death. ResultsA total of 2424 patients met the inclusion criteria. Patients were primarily male (70.5 %), with a median age of 64 years (IQR 57–71). Median bypass and cross-clamp times were 95 (IQR 78–116) and 78 min (IQR 63–95). Severe CSA-AKI occurred within 30 days in 5.7 %, 6.7 %, and 9.1 % of patients with pre-op HbA1c of <6.5 %, 6.5–8.5 %, and ≥8.5 %, respectively. After adjusting for covariates, HbA1c >8.5 %, was independently associated with severe CSA-AKI 30 days after CABG (aOR 1.59, 95%CI 1.06–2.40). In addition, severe CSA-AKI was associated with increased 30- (aOR 15.83,95%CI 7.94–31.56) and 90- day mortality (aOR 9.54, 95%CI 5.46–16.67), prolonged length of stay (aOR 3.46,95%CI 2.41–4.96) and unplanned 30-day readmission (aOR 2.64, 95%CI 1.77–3.94). Lastly, severe CSA-AKI was associated with increased all-cause mortality (aHR 3.19, 95%CI 2.43–4.17). ConclusionElevated preoperative HbA1c (≥8.5 %) was independently associated with an increased 30-day risk of severe CSA-AKI, which is a consistent predictor of adverse outcomes after CABG. Delaying surgery to achieve optimal glycemic control in an elective setting may be reasonable.