Impact of frailty on outcomes and readmissions after transcatheter and surgical aortic valve replacement in a national cohort.

Objective: We examined the effect of frailty on in-hospital mortality, readmission rates, and hospitalization costs after transcatheter and surgical aortic valve replacement in a population-level cohort. Methods: The Nationwide Readmissions Database was queried for patients who underwent transcatheter or surgical aortic valve replacement during 2016-2018. Multivariate logistic regression was used to discern independent effects of frailty on outcomes. Kaplan-Meier time-to-event analysis was used to evaluate the effect of frailty on freedom from readmission. Results: A total of 243,619 patients underwent aortic valve replacement: 142,786 (58.6%) transcatheter aortic valve replacements and 100,833 (41.4%) surgical aortic valve replacements. Frail patients constituted 16,388 (11.5%) and 7251 (7.2%) in the transcatheter aortic valve replacement and surgical aortic valve replacement cohorts, respectively. Compared with nonfrail patients, frail patients had greater in-hospital mortality (transcatheter aortic valve replacement: 3.2% vs 1.1%; surgical aortic valve replacement: 6.1% vs 2.0%; both P < .001), longer length of stay (transcatheter aortic valve replacement: 4 vs 2 days; surgical aortic valve replacement: 13 vs 6 days; P < .001), and greater cost (transcatheter aortic valve replacement: $51,654 vs $44,401; surgical aortic valve replacement: $60,782 vs $40,544; P < .001). Time-to-event analysis showed that frail patients had higher rates of readmission over the calendar year in both transcatheter aortic valve replacement (P < .001) and surgical aortic valve replacement (P < .001) cohorts. This association persisted on adjusted multivariate regression for mortality (transcatheter aortic valve replacement odds ratio [95% CI] 1.98 [1.65-2.37], surgical aortic valve replacement 1.96 [1.60-2.41]), 30-day readmission (transcatheter aortic valve replacement 1.38 [1.27-1.49], surgical aortic valve replacement 1.47 [1.30-1.65]), and 90-day readmission (transcatheter aortic valve replacement 1.41 [1.31-1.52], surgical aortic valve replacement 1.60 [1.43-1.79]) (P < .001 for all). Conclusions: For patients undergoing transcatheter or surgical aortic valve replacement, frailty is associated with in-hospital mortality, readmission, and higher costs. Further efforts to optimize outcomes for frail patients are warranted.

Impact of Inpatient Percutaneous Coronary Intervention Volume on 30-Day Readmissions After Acute Myocardial Infarction-Cardiogenic Shock.

BACKGROUND: There are limited data on volume-outcome relationships in acute myocardial infarction (AMI) with cardiogenic shock (CS). OBJECTIVES: In this study, the authors sought to evaluate the association between hospital percutaneous coronary intervention (PCI) volume and readmission after AMI-CS. METHODS: Adult AMI-CS patients were identified from the Nationwide Readmissions Database for 2016-2019 and were categorized into hospital quartiles (Q1 lowest volume to Q4 highest) based on annual inpatient PCI volume. Outcomes of interest included 30-day all-cause, cardiac, noncardiac, and heart-failure (HF) readmissions. RESULTS: There were 49,558 AMI-CS admissions at 3,954 PCI-performing hospitals. Median annual PCI volume was 174 (Q1-Q3: 70-316). Patients treated at Q1 hospitals were on average older, female, and with higher comorbidity burden. Patients at Q4 hospitals had higher rates of noncardiac organ dysfunction, complications, and use of cardiac support therapies. Overall, 30-day readmission rate was 18.5% (n = 9,179), of which cardiac, noncardiac, and HF readmissions constituted 56.2%, 43.8%, and 25.8%, respectively. From Q1 to Q4, there were no differences in 30-day all-cause (17.6%, 18.4%, 18.2%, 18.7%; P = 0.55), cardiac (10.9%, 11.0%, 10.6%, 10.2%; P = 0.29), and HF (5.0%, 4.8%, 4.8%, 4.8%; P = 0.99) readmissions. Noncardiac readmissions were noted more commonly in higher quartiles (6.7%, 7.4%, 7.7%, 8.5%; P = 0.001) but was not significant after multivariable adjustment. No relationship was noted between hospital PCI volume as a continuous variable and readmissions. CONCLUSIONS: In AMI-CS, there was no association between hospital annual PCI volume and 30-day readmissions despite higher acuity in the higher volume PCI centers suggestive of better care pathways for CS at higher volume centers.

Impact of timing of ERCP on long term outcomes of ERCP for acute cholangitis - A single center retrospective study.

INTRODUCTION: Acute cholangitis is a critical medical emergency. The association between the timing of ERCP and clinical outcomes of acute cholangitis is still debated. The current study aims to evaluate whether ERCP within 48 h (urgent) is associated with improved long term clinical outcomes. METHODS: This study is a single-center retrospective analysis of a prospectively maintained database. All patients admitted with acute cholangitis as per Tokyo guidelines at AIG Hospitals, Hyderabad between January 2022 to December 2022 were included. We evaluated the association between urgent ERCP and length of hospital stay, need for reintervention and readmissions, and mortality. RESULTS: A total of consecutive 301 patients underwent ERCP for acute cholangitis; of which 217 patients (31.3 % females; mean age 54.02 ± 14.9 years) underwent urgent ERCP. The remaining 84 (32.1 % females; mean age 56.56 ± 13.9 years) underwent routine ERCP. Fifty-eight (26.7 %) and 22 (26.2 %) patients with Grade III underwent urgent and routine ERCP respectively. The median (IQR) hospital stay for urgent ERCP was 8.00 (6.00 - 11.00) days and for routine ERCP was 11.00(8.00 - 15.00; p value 0.0001), with similar hospital stay post ERCP (p 0.26). There was no significant difference in mortality upto one year between patients who underwent urgent (22.1 %;48/217) or routine ERCP (31.0 %;26/84, p 0.135). The cox proportional hazard model showed that mortality is independently associated with older age (HR 1.034;95 %CI: 1.013 - 1.054; p 0.001) and malignancy (HR 8.64;95 %CI:4.728 - 15.790; p 0.0001). There was no significant difference between two groups in terms of need for reinterventions and readmissions. CONCLUSIONS: Urgent ERCP for acute cholangitis is associated comparable overall mortality, need for reinterventions, and readmissions with decreased total length of hospital stay. There is an unmet need to confirm these findings by randomized controlled studies.

Frontloaded Home Health Physical Therapy Reduces Hospital Readmissions among Medicare Fee-for-Service Beneficiaries.

OBJECTIVE: The purpose of this paper is to determine a claims-based definition of frontloaded home health physical therapy (HHPT) and examine the effect of frontloaded HHPT visits on all-cause 30-day hospital readmissions. METHODS: This study used a retrospective analysis of Medicare fee-for-service claims from older adults (≥65 years) in the National Health and Aging Trends Study (NHATS; 2011-2017) with ≥1 HHPT visit within 30 days of a hospitalization (n = 1344 hospitalizations; weighted n = 7,727,384). An exploratory analysis of home health claim distribution was conducted to determine definitions of frontloaded HHPT. Generalized linear models were then used to examine the relationship between hospital readmission and each definition of frontloading. RESULTS: Four definitions of frontloaded HHPT were identified: ≥2 HHPT visits in the first week after discharge; ≥3 visits in the first week; ≥4 visits in the first 2 weeks; and ≥ 5 visits in the first 2 weeks. The adjusted risk of readmission was lower for older adults receiving frontloaded HHPT in the first week: (risk ratio [RR] for ≥2 vs <2 visits = 0.57; 95% CI = 0.41-0.79; RR for ≥3 vs <3 visits = 0.39; 95% CI = 0.22-0.72). The reduction in risk of readmission was even greater for older adults receiving ≥4 versus <4 HHPT visits (RR = 0.32; 95% CI = 0.21-0.48) and ≥ 5 versus <5 HHPT visits (RR = 0.27; 95% CI = 0.14-0.50) within the first 2 weeks. The effect of HHPT frontloading was greater for patients hospitalized with surgical versus medical diagnoses and for patients with diagnoses targeted by the Hospital Readmissions Reduction Program. CONCLUSION: Frontloaded HHPT reduces 30-day hospital readmissions among Medicare beneficiaries. Additional research is needed to determine the optimal number of visits and those most likely to benefit from frontloaded HHPT. IMPACT: Frontloaded HHPT can be an effective approach for reducing 30-day hospital readmissions among Medicare beneficiaries.

This study found that providing home health physical therapist visits early and often after hospital discharge decreases the risk that patients will be readmitted over the next 30 days.

Are Primary Health Care Visits Associated With Reduced Risk of Hospital Readmissions After Discharge From Geriatric Inpatient Departments? Evidence From Stockholm County.

INTRODUCTION/OBJECTIVES: Primary health care visits post-discharge could potentially play an important role in efforts of reducing hospital readmission. Focusing on a single or a particular type of visit obscures nuances in types of primary care contacts over time and fails to quantify the intensity of primary health care visits during the follow-up period. The aim of this study was to explore associations between the number and type of primary health care visits post-discharge and the risk of hospital readmission within 30 days. METHODS: A register-based closed cohort study. The study population of 6135 individuals were residents of Stockholm who were discharged home from any of the 3 geriatric inpatient departments, excluding those who were readmitted within the next 24 h. The dependent variable was hospital readmission within 30 days of discharge. The key independent variable was the number and type of primary health care visits in 30 days post-discharge. Cox-regression with time-varying covariates was employed for data analyses. RESULTS: Approximately, 12% of the participants were readmitted to hospital within 30 days. There was no statistically significant association between number of primary care visits post-discharge and readmission (HR 1.00; 95% CI 1.00-1.01). Compared to no primary health care visit, no statistically significant association were found for administrative care related visits (HR 0.33, 95%CI 0.08-1.33), clinic visits (HR 0.93, 95%CI 0.71-1.21), home visits (HR 1.03, 95%CI 0.84-1.27), or team visits (HR 0.76, 95%CI 0.54-1.07). CONCLUSIONS: There were no associations between primary health care visits post-discharge and hospital readmission after geriatric inpatient care. Further studies using survey or qualitative approaches can provide insights into the factors that are relevant to post-discharge care but are unavailable in this type of register data studies.

Procedural volume is linearly associated with mortality, major complications, and readmissions in patients undergoing malignant brain tumor resection.

PURPOSE: Improved outcomes have been noted in patients undergoing malignant brain tumor resection at high-volume centers. Studies have arbitrarily chosen high-volume dichotomous cutoffs and have not evaluated volume-outcome associations at specific institutional procedural volumes. We sought to establish the continuous association of volume with patient outcomes and identify cutoffs significantly associated with mortality, major complications, and readmissions. We hypothesized that a linear volume-outcome relationship can estimate likelihood of adverse outcomes when comparing any two volumes. METHODS: The patient cohort was identified with ICD-10 coding in the Nationwide Readmissions Database(NRD). The association of volume and mortality, major complications, and 30-/90-day readmissions were evaluated in multivariate analyses. Volume was used as a continuous variable with two/three-piece splines, with various knot positions to reflect the best model performance, based on the Quasi Information Criterion(QIC). RESULTS: From 2016 to 2018, 34,486 patients with malignant brain tumors underwent resection. When volume was analyzed as a continuous variable, mortality risk decreased at a steady rate of OR 0.988 per each additional procedure increase for hospitals with 1-65 cases/year(95% CI 0.982-0.993, p < 0.0001). Risk of major complications decreased from 1 to 41 cases/year(OR 0.983, 95% CI 0.979-0.988, p < 0.0001), 30-day readmissions from 1 to 24 cases/year(OR 0.987, 95% CI 0.979-0.995, p = 0.001) and 90-day readmissions from 1 to 23 cases/year(OR 0.989, 95% CI 0.983-0.995, p = 0.0003) and 24-349 cases/year(OR 0.9994, 95% CI 0.999-1, p = 0.01). CONCLUSION: In multivariate analyses, institutional procedural volume remains linearly associated with mortality, major complications, and 30-/90-day readmission up to specific cutoffs. The resulting linear association can be used to calculate relative likelihood of adverse outcomes between any two volumes.

Characteristics associated with 30-day post-stroke readmission within an academic urban hospital network.

OBJECTIVES: Hospital readmissions are associated with poor health outcomes including illness severity and medical complications. The objective of this study was to identify characteristics associated with 30-day post-stroke readmission in an academic urban hospital network. MATERIALS AND METHODS: We collected data on patients admitted with stroke from 2017 through 2022 who were readmitted within 30 days of discharge and compared them to a subset of non-readmitted stroke patients. Chart review was used to collect demographics, characteristics of the stroke, co-morbid conditions, in-hospital complications, and post-discharge care. Univariate analyses followed by regression analysis were used to assess characteristics associated with post-stroke readmission. RESULTS: We identified 4743 patients with stroke (18 % hemorrhagic, mean age 70.1 (standard deviation (SD) 17.2), 47.3 % female) discharged from the stroke services, of whom 282 (5.9 %) patients were readmitted within 30 days of index hospitalization. Univariate analyses identified 18 significantly different features between admitted and readmitted patients. Regression analysis revealed characteristics associated with readmission included private insurance (odds ratio (OR) 0.4, confidence interval (CI) 0.3-0.6, p < 0.001), comorbid peripheral vascular disease (PVD) (OR 2.7, CI 1.3-5.5, p = 0.009), malignancy (OR 1.6, CI 1.0-2.6, p = 0.04), seizure (OR 3.4, CI 1.4-8.2, p = 0.007), thrombolytic administration (OR 0.4, CI 0.2-0.7, p = 0.003), undergoing thrombectomy (OR 5.4, CI 2.9-10.1, p < 0.001), and higher discharge modified Rankin Scale score (OR 1.2, CI 1.0-1.3, p = 0.047). CONCLUSIONS: Our data demonstrate that thrombectomy, high discharge Rankin score, comorbid malignancy, seizure or PVD, and lack of thrombolytic administration or private insurance predict readmission.

Readmissions Following Pancreaticoduodenectomy: Experience From a Tertiary Care Center in India.

Background An enhanced recovery approach in surgery helps early postoperative discharge. With the decreasing trend of morbidity and mortality in recent times in patients undergoing complex procedures such as pancreaticoduodenectomy, readmissions are the next major concern. The causes and outcomes of these readmissions should be investigated for their impact on patient care and prevention. Methodology A total of 997 patients discharged after pancreaticoduodenectomy from a tertiary care center in northern India, between 1989 and 2021, were studied retrospectively to assess the readmission rate for sequelae after pancreaticoduodenectomy. The causes, interventions, outcomes, and predictive factors were studied. Results A total of 103 (10.3%) patients required readmission for sequelae after pancreaticoduodenectomy, and 52 (50.4%) patients required interventions. The most common cause for readmission in our study was intra-abdominal collection (n = 23, 22.3%). Of these 103 patients, 63 (61.2%) had good outcomes, 36 (34.9%) had fair outcomes, and four (3.9%) had bad outcomes. Overall, 53 (51.5%) of 103 patients were readmitted within 30 days of discharge, most commonly with intra-abdominal collection (16 of 53, 30.1%). Of these 53 patients, 22 (41.5%) required interventions, 34 (64.1%) had good outcomes, and 27 (50.9%) were readmitted within seven days of discharge. Of these 27 patients, 12 (44.4%) required interventions, with 24 (88.8%) experiencing good outcomes. Of the 103 patients, 12 (11.6%) were readmitted between 31 and 90 days, mostly due to external stent, T-tube, or percutaneous transhepatic biliary drainage-related problems. Overall, 38 (36.9%) of 103 patients were readmitted after 90 days, mostly with incisional hernia and strictured hepaticojejunostomy. Of these 38 patients, 26 (68.4%) required intervention, and 23 (60.5%) had good outcomes. A previous history of cholangitis (odds ratio (OR) = 1.771, 95% confidence interval (CI) = 1.17-2.67, p = 0.007), postoperative fever (OR = 1.628, 95% CI = 1.081-2.452, p = 0.02), wound infection (OR = 2.011, 95% CI = 1.332-3.035, p = 0.001), and wound dehiscence (OR = 2.136, 95% CI = 1.333-3.423, p = 0.002) predicted readmission on univariate analysis. Multivariate analysis showed a previous history of cholangitis (OR = 1.755, CI = 1.158-2.659, p = 0.008) and wound infection (OR = 1.995, 95% CI = 1.320-2.690, p = 0.001) as factors independently predicting readmission. Conclusions Readmitted patients have high intervention rates and good recovery rates. Readmissions should not be considered a scale for poor healthcare. Patient education, proper management of postoperative complications, and a properly designed discharge care system can help tackle this problem.

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

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

"Factors influencing readmission patterns following radical cystectomy: An analysis of social determinants and discharge outcomes".

INTRODUCTION AND OBJECTIVES: Radical cystectomy readmission rates remain high, with around 25% of patients readmitted to index and nonindex hospitals in 30 days. Nonindex readmissions have been associated with poorer outcomes, including longer lengths of stay and higher mortality rates. This study aimed to examine the associations of social factors (e.g., sex, race, socioeconomic status, insurance type, and resident location) on readmission to index versus nonindex hospitals and discharge disposition. METHODS: We conducted a population-based retrospective study using the Pennsylvania Cancer Registry (PCR) to identify patients diagnosed with nonmetastatic muscle-invasive bladder cancer who underwent radical cystectomy in Pennsylvania between 2010 and 2018. Readmitted patients were identified using the Pennsylvania Health Care Cost Containment Council data (PHC4). The primary outcome was readmission location (i.e., index or nonindex hospital) following radical cystectomy. We used chi-square tests for categorical variables, Wilcoxon rank sum test for continuous variables, multivariable logistic regression model to assess predictors of being readmitted to an index hospital and calculating the predicted probability of being admitted to an index hospital depending on discharge disposition. RESULTS: A total of 517 patients were readmitted within 30-days after radical cystectomy. The majority of readmissions were index readmissions (83%). Median readmission hospital stay was 4 days (interquartile range [IQR] 4) for index and 5 days (IQR 7) for nonindex hospitals, P = 0.01. Patients readmitted to index hospitals had fewer comorbidities (median weighted Elixhauser Comorbidity Index 2 (IQR 2)) and lived in urban areas (89%). Discharge with home care was associated with a higher odds of index readmission (odds ratio, [OR] 2.40; 95% confidence interval, [CI] 1.25-4.52). CONCLUSIONS: Patients residing in urban areas and with fewer comorbidities were more likely to be readmitted to index hospitals than nonindex hospitals. Socioeconomic status and insurance type did not correlate with the type of readmission. Finally, being discharged with home health care was found to be a predictor of readmission to an index hospital.

Unplanned 30-Day Readmissions After Hospitalization for Irritable Bowel Syndrome.

Background Irritable bowel syndrome (IBS) continues to pose significant healthcare challenges due to its broad differential diagnosis and the often extensive yet inconclusive workup. We investigated the rates and characteristics of unplanned 30-day readmissions in adult patients hospitalized with IBS. In addition, we identified factors that predict readmission within 30 days of initial discharge. Methods We analyzed the 2020 Nationwide Readmission Database. Using the International Classification of Diseases, Tenth Revision, Clinical Modification code, we identified hospitalizations in adult patients with IBS. We excluded hospitalizations for minors and planned or elective readmissions. To compare baseline characteristics between readmissions and index hospitalizations, χ2 tests were employed. We used multivariate Cox regression analyses to identify independent predictors of readmissions. Results A total of 5,729 adult hospitalizations with IBS as the primary diagnosis were discharged alive, and 638 (11.1%) readmissions occurred within 30 days. The most common diagnoses associated with readmission were noninfective gastroenteritis and colitis, sepsis, enterocolitis due to Clostridium difficile, and irritable bowel syndrome with or without diarrhea. Patients in readmissions had a mean age of 56.3 years, similar to index hospitalizations (54.5 years, p=0.093). Readmissions had a higher burden of comorbidity (Charlson comorbidity index (CMI) scores ≥3: 26.7%, 170 cases vs. 16.6%, 953 cases; p<0.001) and were mostly Medicare beneficiaries (49.5%, 316% vs. 44.9%, 2,578) compared with index hospitalizations. Readmissions had a longer mean length of stay (LOS) (5.2 vs. 3.6 days, p<0.0001), higher inpatient mortality (0.8%, 5% vs. 0.2%, 11; p=0.032), and higher mean hospital costs ($47,852 vs. $34,592; p<0.0001) compared with index admissions. Secondary diagnoses of ulcerative colitis (adjusted hazard ratio (AHR), 2.82; p<0.0001), interstitial cystitis (AHR, 5.37; p=0.007), peripheral vascular disease (AHR, 1.59; p=0.027), and discharge to short-term hospitals (AHR, 1.03; p<0.0001) were significantly associated with a higher likelihood of readmission within 30 days. Conclusion IBS readmissions have poorer outcomes than index hospitalizations. Patients with an existing history of ulcerative colitis, interstitial cystitis, and peripheral vascular disease and those discharged to short-term hospitals following index hospitalization are more likely to be readmitted within 30 days.

Risk factors for early mortality following transcatheter edge-to-edge repair of mitral regurgitation.

BACKGROUND: While transcatheter edge-to-edge repair (TEER) with MitraClip is increasingly used, data on the risk stratification for assessing early mortality after this procedure are scarce. OBJECTIVE: This study aimed to assess early mortality and analyze the risk factors of early mortality among patients who underwent TEER. METHODS: Using the all-payer, nationally representative Nationwide Readmissions Database, our study included patients aged 18 years or older who had TEER between January 2017 and November 2020. We categorized the cohort into two groups depending on the occurrence of early mortality (death within 30 days after the procedure). Based on the ICD-10, we identified the trend of early mortality after TEER and further analyzed the risk factors associated with early mortality. RESULTS: A total of 15,931 patients who had TEER were included; 292 (1.8 %) with early mortality and 15,639 (98.2 %) without. There was a decreasing trend in early mortality from 2.8 % in the first quarter of 2017 to 1.2 % in the fourth quarter of 2020, but it was not statistically significant (p = 0.18). In multivariable analysis, the independent risk factors for early mortality were chronic kidney disease not requiring dialysis (adjusted odds ratio [aOR]: 1.57; 95 % confidence interval [CI]: 1.11-2.22, p = 0.01), end-stage renal disease (aOR: 2.34; CI: 1.44-3.79, p < 0.01), chronic liver disease (aOR: 4.90; CI: 3.29-7.29, p < 0.01), coagulation disorder (aOR: 3.42; CI: 2.35-5.03, p < 0.01), systolic heart failure (aOR: 2.81; CI: 1.34-5.90, p < 0.01), diastolic heart failure (aOR: 2.69; CI: 1.24-5.84, p = 0.01) and unspecified heart failure (aOR: 3.23; CI: 1.49-7.01, p < 0.01). Among those who died during 30-day readmission following TEER, the most common cardiac cause and non-cardiac-cause of readmission were heart failure (18.2 %) and infection (26.6 %), respectively. CONCLUSION: The early mortality following TEER was low at 1.8 %. The independent risk factors associated with early mortality were chronic kidney disease (including end-stage renal disease), chronic liver disease, coagulation disorder, and heart failure (both systolic and diastolic).

Pre-operative pectoralis muscle area index is associated with biomarkers of inflammation and endotoxemia and predicts clinical outcomes after left ventricular assist device implantation: A cohort study.

BACKGROUND: Pre-left ventricular assist device (LVAD) pectoralis muscle assessment, an estimate of sarcopenia, has been associated with postoperative mortality and gastrointestinal bleeding, though its association with inflammation, endotoxemia, length-of-stay (LOS), and readmissions remains underexplored. METHODS: This was a single-center cohort study of LVAD patients implanted 1/2015-10/2018. Preoperative pectoralis muscle area was measured on chest computed tomography (CT), adjusted for height squared to derive pectoralis muscle area index (PMI). Those with PMI in the lowest quintile were defined as low-PMI cohort; all others constituted the reference cohort. Biomarkers of inflammation (interleukin-6, adiponectin, tumor necrosis factor-α [TNFα]) and endotoxemia (soluble (s)CD14) were measured in a subset of patients. RESULTS: Of the 254 LVAD patients, 95 had a preoperative chest CT (median days pre-LVAD: 7 [IQR 3-13]), of whom 19 (20.0%) were in the low-PMI cohort and the remainder were in the reference cohort. Compared with the reference cohort, the low-PMI cohort had higher levels of sCD14 (2594 vs. 1850 ng/mL; p = 0.04) and TNFα (2.9 vs. 1.9 pg/mL; p = 0.03). In adjusted analyses, the low-PMI cohort had longer LOS (incidence rate ratio 1.56 [95% confidence interval 1.16-2.10], p = 0.004) and higher risk of 90-day and 1-year readmissions (subhazard ratio 5.48 [1.88-16.0], p = 0.002; hazard ratio 1.73 [1.02-2.94]; p = 0.04, respectively). CONCLUSIONS: Pre-LVAD PMI is associated with inflammation, endotoxemia, and increased LOS and readmissions.

National 30-Day Readmission Trends in IBD 2014-2020-Are We Aiming for Improvement?

Background: Inflammatory bowel disease (IBD) prevalence in Eastern Europe is increasing. The 30-day readmission rate is a crucial quality metric in healthcare, reflecting the effectiveness of initial treatment and the continuity of care post-discharge; however, such parameters are rarely analyzed. The aim of this study was to explore the trends in 30-day readmissions among patients with inflammatory bowel disease in Latvia between 2014 and 2020. Methods: This is a retrospective trends study in IBD-ulcerative colitis and Crohn's disease (UC and CD)-patients in Latvia between 2014 and 2020, involving all IBD patients identified in the National Health service database in the International Classification of Diseases-10 (ICD) classification (K50.X and K51.X) and having at least one prescription for IBD diagnoses. We assessed all IBD-related hospitalizations (discharge ICD codes K50X and K51X), as well as hospitalizations potentially related to IBD comorbidities. We analyzed hospitalization trends and obtained the 30 day all-cause readmission rate, disease specific readmission rate and readmission proportion for specific calendar years. Trends in readmissions and the mean length of stay (LOS) for CD and UC were calculated. Results: Despite a decrease in admission rates observed in 2020, the total number of readmissions for CD and UC has increased. Female patients prevailed through the study period and were significantly older than male patients in both the CD and UC groups, p < 0.05. We noted that there was no trend for 30 day all-cause readmission rate for CD (p > 0.05); however, there was a statistically significant trend for 30 day all-cause readmission for UC patients (p-trend = 0.018) in the period from 2014 to 2019. There was a statistically significant trend for CD-specific readmission rate (p < 0.05); however, no statistically significant trend was observed for UC-specific readmission (p > 0.05). An exploratory analysis did not reveal any statistically significant differences between treated and not-treated IBD patients (p > 0.05). The increasing trend is statistically significant over the period 2014-2018 (p < 0.05); however, the trend interrupts in 2020, which can be associated with the COVID-19 global pandemic and the related changes in admission flows where the gastroenterology capacity was reallocated to accommodate increasing numbers of COVID-19 patients. More studies are needed to evaluate the long-term impact of COVID-19 pandemic and 30-day readmissions. No significant dynamics were observed in the mean total hospitalization costs over the 2014-2020 period.

Clinical Profile of Neonates Getting Readmitted to Neonatal Intensive Care Unit (NICU) after Discharge from Hospital.

OBJECTIVES: To estimate the proportion of neonates getting readmitted to neonatal intensive care unit (NICU), after discharge from the hospital. Secondary objectives were to describe the clinical characteristics, reason for readmission and outcome of neonates getting readmitted. METHODS: A retrospective descriptive study was conducted to identify neonates getting readmitted to NICU within 28 d of birth and/or before 40 wk post-menstrual age (PMA). Details of neonates who were readmitted to NICU were identified and data extracted in predesigned proforma from digitalized case records (July 2021-June 2023), and outcomes were analyzed. RESULTS: Out of 26,403 live-births, 5175 neonates required NICU admission (19.6%). Readmissions accounted for 5.9% (95% CI: 5.3-6.6%) of NICU admissions (305/5175) and 1.2% (95% CI: 1.0-1.3%) of live-births. Mean gestational age and birthweight were 36.8 (2.9) wk (range 25-41) and 2584 (713) g (range = 650-4900). Ninety-six (31.5%) were preterm. One hundred and three (33.8%) were high risk neonates. Median age at readmission was 17 d (range: 3-150). Infections (n = 109, 35.7%), infection-related complications (n = 18, 5.9%), feeding problems (n = 63, 20.6%), and jaundice (n = 42, 13.7%) were commonest reasons for readmission. Median duration of hospital stay was 5 d (range: 1-120). Two hundred and ninety four (96.4%) were discharged, and 10 (3.2%) neonates expired. CONCLUSIONS: Readmissions accounted for 5.9% of total NICU admissions. Infections, jaundice and feeding related issues accounted for 76% of all the readmissions.

Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies.

Developing novel predictive models with complex biomedical information is challenging due to various idiosyncrasies related to heterogeneity, standardization or sparseness of the data. We previously introduced a person-centric ontology to organize information about individual patients, and a representation learning framework to extract person-centric knowledge graphs (PKGs) and to train Graph Neural Networks (GNNs). In this paper, we propose a systematic approach to examine the results of GNN models trained with both structured and unstructured information from the MIMIC-III dataset. Through ablation studies on different clinical, demographic, and social data, we show the robustness of this approach in identifying predictive features in PKGs for the task of readmission prediction.

Determining If COPD Self-Management Televisit-Based Interventions Are Evaluated Among and Equitably Effective Across Diverse Patient Populations to Reduce Acute Care Use: A Scoping Review.

TOPIC IMPORTANCE: With telemedicine's expansion during the COVID-19 pandemic, it has become critical to evaluate whether patients have equitable access and capabilities to use televisits optimally for improved COPD outcomes such as reduced hospitalizations. This scoping review evaluated whether televisit-based interventions are evaluated and equitably effective in improving health care use outcomes among diverse patient populations with COPD. REVIEW FINDINGS: Using a systematic search for televisit-based COPD self-management interventions, we found 20 studies for inclusion, all but one of which were published before the COVID-19 pandemic. Most (11/20) were considered good-quality studies. Most studies (19/20) reported age and sex; few provided race (3/20) or income (1/20) data. The most frequently used televisit-based methods were in person plus phone (6/20), video only (6/20), and phone only (4/20). Most studies (12/20) showed a significant reduction in at least one health care use metric; nine studies found hospitalization-related reductions. Effective interventions typically used two methods (eg, in person plus televisits), a video methods, or both. SUMMARY: Most studies failed to report on participants' race or income, leading to a lack of data on the equity of interventions' effectiveness across diverse patient populations. Multimethod televisit-based interventions, particularly with an in-person component, most commonly were effective; no associations were seen with study quality or size. With the increasing reliance on telemedicine to provide chronic disease care, the lack of data among diverse populations since the COVID-19 pandemic began limits generalizability of these findings for real-world clinical settings. More comprehensive evaluations of televisit-based interventions are needed in the era after the pandemic within and across diverse patient populations.

Optimizing Guideline-Directed Medical Therapy During Hospitalization Improves Prognosis in Patients With Worsening Heart Failure Requiring Readmissions.

BACKGROUND: We previously demonstrated that higher simple guideline-directed medical therapy (GDMT) scores (comprising renin-angiotensin system inhibitors, ß-blockers, mineralocorticoid antagonists, and sodium-glucose cotransporter 2 inhibitors) at discharge were correlated with improved prognosis in heart failure (HF) patients. HF readmissions are linked to adverse outcomes, emphasizing the need for enhanced optimization of GDMT. METHODS AND RESULTS: Using the simple GDMT score, we evaluated the effect of revising and modifying in-hospital GDMT on the prognosis of patients with HF readmissions. In this retrospective analysis of 2,100 HF patients, we concentrated on 1,222 patients with HF with reduced ejection/moderately reduced ejection fraction, excluding patients with HF with preserved ejection fraction, on dialysis, or who died in hospital. A higher current GDMT score was associated with better HF prognosis. Of the 1,222 patients in the study, we analyzed 372 cases of rehospitalization, calculating the simple GDMT scores at admission and discharge. Patients were divided into groups according to score improvement. Multivariate analysis showed a significant association between improved in-hospital simple GDMT score and the composite outcome (HF readmission+all-cause mortality; hazard ratio 0.459; 95% confidence interval 0.257-0.820; P=0.008). Even after propensity score matching to adjust for background, among rehospitalized patients, those with an improved in-hospital simple GDMT score had a better prognosis. CONCLUSIONS: Our results highlight the potential of robust interventions and score elevation during hospitalization leading to improved outcomes.

Examining Heart Failure Outcomes Amid Housing Insecurity.

BACKGROUND: How housing insecurity might affect patients with heart failure (HF) is not well characterized. Housing insecurity increases risks related to both communicable and noncommunicable diseases. For patients with HF, housing insecurity is likely to increase the risk for worse outcomes and rehospitalizations. METHODS AND RESULTS: We analyzed hospitalizations due to HF in the United States by using the 2020 National Inpatient Sample and Nationwide Readmissions Database to evaluate the impacts of housing insecurity on HF outcomes and hospital use. Individuals were identified as having housing insecurity by using diagnostic International Classification of Disease (ICD)-10 codes. Demographics and comorbidities were compared between patients with HF with and without housing insecurity. An adjusted logistic regression was performed to evaluate the relationships between housing insecurity and socioeconomic status on in-hospital mortality. Using a Cox proportional hazards model, patients with HF and without housing insecurity were evaluated for the risk of all-cause and HF-specific readmissions over time. Of the 1,003,270 hospitalizations for HF in the U.S. in 2020, 16,150 were identified as having housing insecurity (1.6%), and 987,120 were identified as having no housing insecurity (98.4%). The median age of patients with housing insecurity who were hospitalized for HF was 57, as compared to 73 in the population with no housing insecurity. A higher proportion of patients in the housing-insecurity group were Black (35% vs 20.1%) or Hispanic (11.1% vs 7.3%). Patients with housing insecurity were more likely to carry a diagnosis of alcohol-use disorder (15.2% vs 3.3%) or substance-use disorder (70.2% vs 17.8%) but were less likely to use tobacco (18.3% vs 28.7%). Patients with housing insecurity were over 4.5 times more likely to have Medicaid (52.4% vs 11.3%). Median length of stay did not differ between patients with housing insecurity vs those without it. Patients with housing insecurity were more likely to discharge against medical advice (11.4% vs 2.03%). After adjusting for patients' characteristics, housing insecurity was associated with lower in-hospital mortality rates (OR 0.60, 95% CI 0.39-0.92). Housing insecurity was associated with a higher risk of all-cause readmissions at 180 days (HR 1.13, 95% CI 1.12-1.14). However, there was no significant difference in the risk of HF-specific readmissions at 180 days (HR 1.07, 95% CI 0.998-1.14) CONCLUSIONS: Patients with HF and housing insecurity have distinct demographic characteristics. They are also more likely to be readmitted after their initial hospitalization when compared to those without housing insecurity. Identifying and addressing specific comorbid conditions for patients with housing insecurity who are hospitalized for HF may allow clinicians to provide more focused care, with the goal of preventing morbidity, mortality and unnecessary readmissions.

Failure to rescue following emergency general surgery: A national analysis.

Background: Failure to rescue (FTR) is increasingly recognized as a quality metric but remains understudied in emergency general surgery (EGS). We sought to identify patient and operative factors associated with FTR to better inform standardized metrics to mitigate this potentially preventable event. Methods: All adult (≥18 years) non-elective hospitalizations for large bowel resection, small bowel resection, repair of perforated ulcer, laparotomy and lysis of adhesions were identified in the 2016-2020 National Readmissions Database. Patients undergoing trauma-related operations or procedures ≤2 days of admission were excluded. FTR was defined as in-hospital death following acute kidney injury requiring dialysis (AKI), myocardial infarction, pneumonia, respiratory failure, sepsis, stroke, or thromboembolism. Multilevel mixed-effect models were developed to assess factors linked with FTR. Results: Among 826,548 EGS operations satisfying inclusion criteria, 298,062 (36.1 %) developed at least one MAE. Of those experiencing MAE, 43,477 (14.6 %) ultimately did not survive to discharge (FTR). Following adjustment for fixed hospital level effects, only 3.5 % of the variance in FTR was attributable to center-level differences. Relative to private insurance and the highest income quartile, Medicaid insurance (AOR 1.33; 95%CI, 1.23-1.43) and the lowest income quartile (AOR 1.22; 95%CI, 1.17-1.29) were linked with increased odds of FTR.A subset analysis stratified complication-specific rates of FTR by insurance status. Relative to private insurance, Medicaid coverage and uninsured status were linked with greater odds of FTR following perioperative sepsis, pneumonia, and AKI. Conclusion: Our findings underscore the need for increased screening and vigilance following perioperative complications to mitigate disparities in patient outcomes following high-risk EGS.